From 6a75fa480960c8a91f4f69440c2377e9b88d82c0 Mon Sep 17 00:00:00 2001 From: faizan khan Date: Wed, 8 Apr 2020 20:57:36 -0400 Subject: [PATCH 01/11] WIP: self attention --- script/dfs_traversal_2.py | 3 - script/parent_node_pairs.py | 500 ++++++++++++++++++++++++++++++++++++ src/utils/codegen.py | 326 ++++++++++++++++------- src/utils/my_ast.py | 11 +- 4 files changed, 739 insertions(+), 101 deletions(-) create mode 100644 script/parent_node_pairs.py diff --git a/script/dfs_traversal_2.py b/script/dfs_traversal_2.py index 97a56e45..d250e102 100644 --- a/script/dfs_traversal_2.py +++ b/script/dfs_traversal_2.py @@ -1,7 +1,4 @@ -from yapf.yapflib import pytree_utils - # from src.dpu_utils.utils import RichPath -from src.utils.my_utils import DotDict from src.utils import my_ast from src.utils.codegen2 import * import json_lines diff --git a/script/parent_node_pairs.py b/script/parent_node_pairs.py new file mode 100644 index 00000000..2d1814cf --- /dev/null +++ b/script/parent_node_pairs.py @@ -0,0 +1,500 @@ + +from dpu_utils.utils import RichPath +from src.utils import my_ast +from src.utils.codegen import * +import subprocess +import pandas as pd +import os + +# path = 'resources/data/python/final/jsonl/valid_old/temp_train_10.jsonl.gz' +# # s_path = 'resources/data/python/final/jsonl/valid/temp_valid_10.jsonl.gz' +# +# a = RichPath.create(path) +# s = RichPath.create(s_path) +# +# print('started') +# b = list(a.read_as_jsonl()) + + +count = 0 +def convert_code_to_tokens(code): + global count + tree ='' + # tree = my_ast.parse(code) + + try: + tree = my_ast.parse(code) + except: + try: + f = open('temp.py', 'w+') + f.write(code) + f.close() + subprocess.run(['2to3', '-w', 'temp.py']) + f = open('temp.py', 'r') + code = f.read() + # print(code) + tree = my_ast.parse(code) + # os.rmdir('temp.py') + except: + pass + if tree!='': + an = SourceGenerator(' ') + an.visit(tree) + return an.result, an.parents + else: + return [] +# + +# templist = [] +# for idx, sample in enumerate(b): +# print("sample {} in progress".format(idx)) +# # print(sample['code']) +# if idx==3282: +# print(sample['code']) +# +# tokenization = convert_code_to_tokens(sample['code']) +# if tokenization == []: +# templist.append(idx) +# else: +# b[idx]['code_tokens'] = tokenization +# # tree = my_ast.parse(sample['code']) +# # an = SourceGenerator(' ') +# # an.visit(tree) +# # b[idx]['code_tokens'] = an.result +# +# s.save_as_compressed_file(b) +# print('finished', templist, len(templist), tokenization) + +import ast +import sys +import json +# def parse_file(code): +# global c, d +# tree = ast.parse(code) +# +# json_tree = [] +# +# def gen_identifier(identifier, node_type='identifier'): +# pos = len(json_tree) +# json_node = {} +# json_tree.append(json_node) +# json_node['type'] = node_type +# json_node['value'] = identifier +# return pos +# +# def traverse_list(l, node_type='list'): +# pos = len(json_tree) +# json_node = {} +# json_tree.append(json_node) +# json_node['type'] = node_type +# children = [] +# for item in l: +# children.append(traverse(item)) +# if (len(children) != 0): +# json_node['children'] = children +# return pos +# +# def traverse(node): +# pos = len(json_tree) +# json_node = {} +# json_tree.append(json_node) +# json_node['type'] = type(node).__name__ +# children = [] +# if isinstance(node, ast.Name): +# json_node['value'] = node.id +# elif isinstance(node, ast.Num): +# json_node['value'] = unicode(node.n) +# elif isinstance(node, ast.Str): +# json_node['value'] = node.s.decode('utf-8') +# elif isinstance(node, ast.alias): +# json_node['value'] = unicode(node.name) +# if node.asname: +# children.append(gen_identifier(node.asname)) +# elif isinstance(node, ast.FunctionDef): +# json_node['value'] = unicode(node.name) +# elif isinstance(node, ast.ClassDef): +# json_node['value'] = unicode(node.name) +# elif isinstance(node, ast.ImportFrom): +# if node.module: +# json_node['value'] = unicode(node.module) +# elif isinstance(node, ast.Global): +# for n in node.names: +# children.append(gen_identifier(n)) +# elif isinstance(node, ast.keyword): +# json_node['value'] = unicode(node.arg) +# +# # Process children. +# if isinstance(node, ast.For): +# children.append(traverse(node.target)) +# children.append(traverse(node.iter)) +# children.append(traverse_list(node.body, 'body')) +# if node.orelse: +# children.append(traverse_list(node.orelse, 'orelse')) +# elif isinstance(node, ast.If) or isinstance(node, ast.While): +# children.append(traverse(node.test)) +# children.append(traverse_list(node.body, 'body')) +# if node.orelse: +# children.append(traverse_list(node.orelse, 'orelse')) +# elif isinstance(node, ast.With): +# children.append(traverse(node.context_expr)) +# if node.optional_vars: +# children.append(traverse(node.optional_vars)) +# children.append(traverse_list(node.body, 'body')) +# elif isinstance(node, ast.Try): +# children.append(traverse_list(node.body, 'body')) +# children.append(traverse_list(node.handlers, 'handlers')) +# if node.orelse: +# children.append(traverse_list(node.orelse, 'orelse')) +# if node.finalbody: +# children.append(traverse_list(node.finalbody, 'finalbody')) +# elif isinstance(node, ast.arguments): +# children.append(traverse_list(node.args, 'args')) +# children.append(traverse_list(node.defaults, 'defaults')) +# if node.vararg: +# children.append(gen_identifier(node.vararg, 'vararg')) +# if node.kwarg: +# children.append(gen_identifier(node.kwarg, 'kwarg')) +# elif isinstance(node, ast.ExceptHandler): +# if node.type: +# children.append(traverse_list([node.type], 'type')) +# if node.name: +# children.append(traverse_list([node.name], 'name')) +# children.append(traverse_list(node.body, 'body')) +# elif isinstance(node, ast.ClassDef): +# children.append(traverse_list(node.bases, 'bases')) +# children.append(traverse_list(node.body, 'body')) +# children.append(traverse_list(node.decorator_list, 'decorator_list')) +# elif isinstance(node, ast.FunctionDef): +# children.append(traverse(node.args)) +# children.append(traverse_list(node.body, 'body')) +# children.append(traverse_list(node.decorator_list, 'decorator_list')) +# else: +# # Default handling: iterate over children. +# for child in ast.iter_child_nodes(node): +# if isinstance(child, ast.expr_context) or isinstance(child, ast.operator) or isinstance(child, +# ast.boolop) or isinstance( +# child, ast.unaryop) or isinstance(child, ast.cmpop): +# # Directly include expr_context, and operators into the type instead of creating a child. +# json_node['type'] = json_node['type'] + type(child).__name__ +# else: +# children.append(traverse(child)) +# +# if isinstance(node, ast.Attribute): +# children.append(gen_identifier(node.attr, 'attr')) +# +# if (len(children) != 0): +# json_node['children'] = children +# return pos +# +# traverse(tree) +# return json_tree + +# def updated_parse_file(code): +# global c, d +# tree = ast.parse(code) +# +# json_tree = [] +# +# def gen_identifier(identifier, node_type='identifier', parent=None): +# pos = len(json_tree) +# json_node = {} +# json_tree.append(json_node) +# # json_node['type'] = node_type +# json_node[node_type] = identifier +# if parent: +# json_node['parent'] = type(parent).__name__ +# else: +# json_node['parent'] = None +# return pos +# +# def traverse_list(l, node_type='list', parent=None): +# pos = len(json_tree) +# json_node = {} +# json_tree.append(json_node) +# json_node[node_type] = [] +# if parent: +# json_node['parent'] = type(parent).__name__ +# else: +# json_node['parent'] = None +# children = [] +# for item in l: +# children.append(traverse(item)) +# if (len(children) != 0): +# json_node[node_type] = children +# return pos +# +# def traverse(node, parent=None): +# pos = len(json_tree) +# json_node = {} +# json_tree.append(json_node) +# json_node[type(node).__name__] = [] +# if parent: +# json_node['parent'] = type(parent).__name__ +# else: +# json_node['parent'] = None +# children = [] +# if isinstance(node, ast.Name): +# json_node[type(node).__name__] = node.id +# elif isinstance(node, ast.Num): +# json_node[type(node).__name__] = unicode(node.n) +# elif isinstance(node, ast.Str): +# json_node[type(node).__name__] = node.s.decode('utf-8') +# elif isinstance(node, ast.alias): +# json_node[type(node).__name__] = unicode(node.name) +# if node.asname: +# children.append(gen_identifier(node.asname)) +# elif isinstance(node, ast.FunctionDef): +# json_node[type(node).__name__] = unicode(node.name) +# elif isinstance(node, ast.ClassDef): +# json_node[type(node).__name__] = unicode(node.name) +# elif isinstance(node, ast.ImportFrom): +# if node.module: +# json_node[type(node).__name__] = unicode(node.module) +# elif isinstance(node, ast.Global): +# for n in node.names: +# children.append(gen_identifier(n)) +# elif isinstance(node, ast.keyword): +# json_node[type(node).__name__] = unicode(node.arg) +# +# # Process children. +# if isinstance(node, ast.For): +# children.append(traverse(node.target, node)) +# children.append(traverse(node.iter, node)) +# children.append(traverse_list(node.body, 'body', node)) +# if node.orelse: +# children.append(traverse_list(node.orelse, 'orelse', node)) +# elif isinstance(node, ast.If) or isinstance(node, ast.While): +# children.append(traverse(node.test, node)) +# children.append(traverse_list(node.body, 'body', node)) +# if node.orelse: +# children.append(traverse_list(node.orelse, 'orelse', node)) +# elif isinstance(node, ast.With): +# children.append(traverse(node.context_expr, node)) +# if node.optional_vars: +# children.append(traverse(node.optional_vars, node)) +# children.append(traverse_list(node.body, 'body', node)) +# elif isinstance(node, ast.Try): +# children.append(traverse_list(node.body, 'body', node)) +# children.append(traverse_list(node.handlers, 'handlers', node)) +# if node.orelse: +# children.append(traverse_list(node.orelse, 'orelse', node)) +# if node.finalbody: +# children.append(traverse_list(node.finalbody, 'finalbody', node)) +# elif isinstance(node, ast.arguments): +# children.append(traverse_list(node.args, 'args', node)) +# children.append(traverse_list(node.defaults, 'defaults', node)) +# if node.vararg: +# children.append(gen_identifier(node.vararg, 'vararg')) +# if node.kwarg: +# children.append(gen_identifier(node.kwarg, 'kwarg')) +# elif isinstance(node, ast.ExceptHandler): +# if node.type: +# children.append(traverse_list([node.type], 'type', node)) +# if node.name: +# children.append(traverse_list([node.name], 'name', node)) +# children.append(traverse_list(node.body, 'body', node)) +# elif isinstance(node, ast.ClassDef): +# children.append(traverse_list(node.bases, 'bases', node)) +# children.append(traverse_list(node.body, 'body', node)) +# children.append(traverse_list(node.decorator_list, 'decorator_list', node)) +# elif isinstance(node, ast.FunctionDef): +# children.append(traverse(node.args, node)) +# children.append(traverse_list(node.body, 'body',node)) +# children.append(traverse_list(node.decorator_list, 'decorator_list',node)) +# else: +# # Default handling: iterate over children. +# for child in ast.iter_child_nodes(node): +# if isinstance(child, ast.expr_context) or isinstance(child, ast.operator) or isinstance(child, +# ast.boolop) or isinstance( +# child, ast.unaryop) or isinstance(child, ast.cmpop): +# # Directly include expr_context, and operators into the type instead of creating a child. +# json_node[type(node).__name__ + type(child).__name__] = json_node[type(node).__name__] +# del json_node[type(node).__name__] +# else: +# children.append(traverse(child,node)) +# +# if isinstance(node, ast.Attribute): +# children.append(gen_identifier(node.attr, 'Attr')) +# +# if (len(children) != 0): +# if type(node).__name__ not in json_node.keys(): +# json_node[type(node).__name__ + type(child).__name__] = children +# else: +# json_node[type(node).__name__] = children +# return pos +# +# traverse(tree) +# return json_tree +# # return json.dumps(json_tree, separators=(',', ':'), ensure_ascii=False) + +def parse_file_with_parents(code): + global c, d + tree = ast.parse(code) + + json_tree = [] + + def gen_identifier(identifier, node_type='identifier', parent=None): + pos = len(json_tree) + json_node = {} + json_tree.append(json_node) + json_node['type'] = node_type + json_node['value'] = identifier + if parent: + json_node['parent'] = type(parent).__name__ + else: + json_node['parent'] = None + return pos + + def traverse_list(l, node_type='list'): + pos = len(json_tree + json_node = {} + json_tree.append(json_node) + json_node['type'] = node_type + if parent: + json_node['parent'] = type(parent).__name__ + else: + json_node['parent'] = None + children = [] + for item in l: + children.append(traverse(item)) + if (len(children) != 0): + json_node['children'] = children + return pos + + def traverse(node): + pos = len(json_tree) + json_node = {} + json_tree.append(json_node) + json_node['type'] = type(node).__name__ + if parent: + json_node['parent'] = type(parent).__name__ + else: + json_node['parent'] = None + children = [] + if isinstance(node, ast.Name): + json_node['value'] = node.id + elif isinstance(node, ast.Num): + json_node['value'] = unicode(node.n) + elif isinstance(node, ast.Str): + json_node['value'] = node.s.decode('utf-8') + elif isinstance(node, ast.alias): + json_node['value'] = unicode(node.name) + if node.asname: + children.append(gen_identifier(node.asname)) + elif isinstance(node, ast.FunctionDef): + json_node['value'] = unicode(node.name) + elif isinstance(node, ast.ClassDef): + json_node['value'] = unicode(node.name) + elif isinstance(node, ast.ImportFrom): + if node.module: + json_node['value'] = unicode(node.module) + elif isinstance(node, ast.Global): + for n in node.names: + children.append(gen_identifier(n)) + elif isinstance(node, ast.keyword): + json_node['value'] = unicode(node.arg) + + # Process children. + if isinstance(node, ast.For): + children.append(traverse(node.target)) + children.append(traverse(node.iter)) + children.append(traverse_list(node.body, 'body')) + if node.orelse: + children.append(traverse_list(node.orelse, 'orelse')) + elif isinstance(node, ast.If) or isinstance(node, ast.While): + children.append(traverse(node.test)) + children.append(traverse_list(node.body, 'body')) + if node.orelse: + children.append(traverse_list(node.orelse, 'orelse')) + elif isinstance(node, ast.With): + children.append(traverse(node.context_expr)) + if node.optional_vars: + children.append(traverse(node.optional_vars)) + children.append(traverse_list(node.body, 'body')) + elif isinstance(node, ast.Try): + children.append(traverse_list(node.body, 'body')) + children.append(traverse_list(node.handlers, 'handlers')) + if node.orelse: + children.append(traverse_list(node.orelse, 'orelse')) + if node.finalbody: + children.append(traverse_list(node.finalbody, 'finalbody')) + elif isinstance(node, ast.arguments): + children.append(traverse_list(node.args, 'args')) + children.append(traverse_list(node.defaults, 'defaults')) + if node.vararg: + children.append(gen_identifier(node.vararg, 'vararg')) + if node.kwarg: + children.append(gen_identifier(node.kwarg, 'kwarg')) + elif isinstance(node, ast.ExceptHandler): + if node.type: + children.append(traverse_list([node.type], 'type')) + if node.name: + children.append(traverse_list([node.name], 'name')) + children.append(traverse_list(node.body, 'body')) + elif isinstance(node, ast.ClassDef): + children.append(traverse_list(node.bases, 'bases')) + children.append(traverse_list(node.body, 'body')) + children.append(traverse_list(node.decorator_list, 'decorator_list')) + elif isinstance(node, ast.FunctionDef): + children.append(traverse(node.args)) + children.append(traverse_list(node.body, 'body')) + children.append(traverse_list(node.decorator_list, 'decorator_list')) + else: + # Default handling: iterate over children. + for child in ast.iter_child_nodes(node): + if isinstance(child, ast.expr_context) or isinstance(child, ast.operator) or isinstance(child, + ast.boolop) or isinstance( + child, ast.unaryop) or isinstance(child, ast.cmpop): + # Directly include expr_context, and operators into the type instead of creating a child. + json_node['type'] = json_node['type'] + type(child).__name__ + else: + children.append(traverse(child)) + + if isinstance(node, ast.Attribute): + children.append(gen_identifier(node.attr, 'attr')) + + if (len(children) != 0): + json_node['children'] = children + return pos + + traverse(tree) + return json_tree + + +# [{'children': [1], 'type': 'Module'}, +# {'children': [2, 3], 'type': 'Assign'}, +# {'type': 'NameStore', 'value': 'ip'}, +# {'children': [4, 7], 'type': 'Call'}, +# {'children': [5, 6], 'type': 'AttributeLoad'}, +# {'type': 'NameLoad', 'value': 'socket'}, +# {'type': 'attr', 'value': 'gethostbyname'}, +# {'type': 'NameLoad', 'value': 'host'}] + + +from pprint import pprint +if __name__=='__main__': + print('something') + +# code ='''print('something') +# try: +# a+1 +# except IOError: +# return 1 +# else: +# a+2 +# finally: +# return 2''' + + # code= '''def f(a, b=1, c=2, *d, e, f=3, **g): + # pass''' + + code = '''ip = socket.gethostbyname(host)''' + # code = '''func(a, b=c, *d, **e)''' + # a, b = convert_code_to_tokens(code) + # df = pd.DataFrame([a, b]) + # print(df.T) + + result_tree = updated_parse_file(code) + + # print(pd.read_json(result_tree)) + print(result_tree) \ No newline at end of file diff --git a/src/utils/codegen.py b/src/utils/codegen.py index adeae537..db74600e 100644 --- a/src/utils/codegen.py +++ b/src/utils/codegen.py @@ -38,6 +38,7 @@ class SourceGenerator(NodeVisitor): def __init__(self, indent_with, add_line_information=False): self.result = [] + self.parents = [] self.indent_with = indent_with self.add_line_information = add_line_information self.indentation = 0 @@ -58,22 +59,26 @@ def newline(self, node=None, extra=0): self.new_lines = max(self.new_lines, 1 + extra) if node is not None and self.add_line_information: # self.write('# line: %s' % node.lineno) + self.parents.append(type(node).__name__) # self.new_lines = 1 self.write('%s: ' % node.lineno) + self.parents.append(type(node).__name__) - def body(self, statements): + def body(self, statements, parent=None): + node = parent self.new_line = True self.indentation += 1 for stmt in statements: - self.visit(stmt) + self.visit(stmt, node) self.indentation -= 1 def body_or_else(self, node): - self.body(node.body) + self.body(node.body, node) if node.orelse: self.newline() self.write('else:') - self.body(node.orelse) + self.parents.append(type(node).__name__) + self.body(node.orelse, node) def signature(self, node): want_comma = [] @@ -81,6 +86,7 @@ def signature(self, node): def write_comma(): if want_comma: self.write(', ') + self.parents.append(type(node).__name__) else: want_comma.append(True) @@ -88,24 +94,30 @@ def write_comma(): for arg, default in zip(node.args, padding + node.defaults): write_comma() self.write(arg.arg) + self.parents.append(type(node).__name__) if default is not None: self.write('=') - self.visit(default) + self.parents.append(type(node).__name__) + self.visit(default, node) if node.vararg is not None: write_comma() self.write('*' + node.vararg.arg) + self.parents.append(type(node).__name__) for arg, default in zip(node.kwonlyargs, node.kw_defaults): write_comma() self.write(arg.arg) + self.parents.append(type(node).__name__) if default is not None: self.write('=') - self.visit(default) + self.parents.append(type(node).__name__) + self.visit(default, node) if node.kwarg is not None: write_comma() self.write('**' + node.kwarg.arg) + self.parents.append(type(node).__name__) def decorators(self, node): if not node: @@ -116,7 +128,8 @@ def decorators(self, node): for decorator in node.decorator_list: self.newline(decorator) self.write('@') - self.visit(decorator) + self.parents.append(type(node).__name__) + self.visit(decorator, node) # Statements @@ -125,31 +138,38 @@ def visit_Assign(self, node): for idx, target in enumerate(node.targets): if idx: self.write(', ') - self.visit(target) + self.parents.append(type(node).__name__) + self.visit(target, node) # self.write(' = ') - self.visit(node.value) + self.parents.append(type(node).__name__) + self.visit(node.value, node) def visit_AugAssign(self, node): self.newline(node) - self.visit(node.target) + self.visit(node.target, node) # self.write(BINOP_SYMBOLS[type(node.op)] + '=') - self.visit(node.value) + self.parents.append(type(node).__name__) + self.visit(node.value, node) def visit_ImportFrom(self, node): self.newline(node) self.write('from %s%s import ' % ('.' * node.level, node.module)) + self.parents.append(type(node).__name__) for idx, item in enumerate(node.names): if idx: self.write(', ') - self.visit(item) + self.parents.append(type(node).__name__) + self.visit(item, node) def visit_Import(self, node): self.newline(node) self.write('import ') + self.parents.append(type(node).__name__) for idx, item in enumerate(node.names): if idx: self.write(', ') - self.visit(item) + self.parents.append(type(node).__name__) + self.visit(item, node) def visit_Expr(self, node): self.newline(node) @@ -163,13 +183,18 @@ def visit_FunctionDef(self, node): if node.decorator_list: for decorator in node.decorator_list: self.write('@') - self.visit(decorator) + self.parents.append(type(node).__name__) + self.visit(decorator, node) self.write('def ') + self.parents.append(type(node).__name__) self.write('%s' % node.name) + self.parents.append(type(node).__name__) self.write('(') + self.parents.append(type(node).__name__) self.signature(node.args) self.write('):') - self.body(node.body) + self.parents.append(type(node).__name__) + self.body(node.body, node) def visit_ClassDef(self, node): have_args = [] @@ -177,54 +202,66 @@ def visit_ClassDef(self, node): def paren_or_comma(): if have_args: self.write(', ') + self.parents.append(type(node).__name__) else: have_args.append(True) self.write('(') + self.parents.append(type(node).__name__) self.newline(extra=2) self.decorators(node) self.newline(node) self.write('class %s' % node.name) + self.parents.append(type(node).__name__) for base in node.bases: paren_or_comma() - self.visit(base) + self.visit(base, node) # XXX: the if here is used to keep this module compatible # with python 2.6. if hasattr(node, 'keywords'): for keyword in node.keywords: paren_or_comma() self.write(keyword.arg + '=') - self.visit(keyword.value) + self.parents.append(type(node).__name__) + self.visit(keyword.value, node) if hasattr(node, 'starargs') and node.starargs is not None: paren_or_comma() self.write('*') - self.visit(node.starargs) + self.parents.append(type(node).__name__) + self.visit(node.starargs, node) if hasattr(node, 'kwargs') and node.kwargs is not None: paren_or_comma() self.write('**') - self.visit(node.kwargs) + self.parents.append(type(node).__name__) + self.visit(node.kwargs, node) self.write(have_args and '):' or ':') - self.body(node.body) + self.parents.append(type(node).__name__) + self.body(node.body, node) def visit_If(self, node): self.newline(node) self.write('if ') - self.visit(node.test) + self.parents.append(type(node).__name__) + self.visit(node.test, node) self.write(':') - self.body(node.body) + self.parents.append(type(node).__name__) + self.body(node.body, node) while True: else_ = node.orelse if len(else_) == 1 and isinstance(else_[0], If): node = else_[0] self.newline() self.write('elif ') - self.visit(node.test) + self.parents.append(type(node).__name__) + self.visit(node.test, node) self.write(':') - self.body(node.body) + self.parents.append(type(node).__name__) + self.body(node.body, node) elif else_: self.newline() self.write('else:') - self.body(else_) + self.parents.append(type(node).__name__) + self.body(else_, node) break else: break @@ -232,144 +269,177 @@ def visit_If(self, node): def visit_For(self, node): self.newline(node) self.write('for ') - self.visit(node.target) + self.parents.append(type(node).__name__) + self.visit(node.target, node) self.write(' in ') - self.visit(node.iter) + self.parents.append(type(node).__name__) + self.visit(node.iter, node) self.write(':') - self.body_or_else(node) + self.parents.append(type(node).__name__) + self.body_or_else(node, node) def visit_While(self, node): self.newline(node) self.write('while ') - self.visit(node.test) + self.parents.append(type(node).__name__) + self.visit(node.test, node) self.write(':') - self.body_or_else(node) + self.parents.append(type(node).__name__) + self.body_or_else(node, node) def visit_With(self, node): self.newline(node) self.write('with ') + self.parents.append(type(node).__name__) for item in node.items: - self.visit(item.context_expr) + self.visit(item.context_expr, node) if item.optional_vars is not None: self.write(' as ') - self.visit(item.optional_vars) + self.parents.append(type(node).__name__) + self.visit(item.optional_vars, node) self.write(':') - self.body(node.body) + self.parents.append(type(node).__name__) + self.body(node.body, node) def visit_Pass(self, node): self.newline(node) self.write('pass') + self.parents.append(type(node).__name__) def visit_Print(self, node): # XXX: python 2.6 only self.newline(node) self.write('print ') + self.parents.append(type(node).__name__) want_comma = False if node.dest is not None: self.write(' >> ') - self.visit(node.dest) + self.parents.append(type(node).__name__) + self.visit(node.dest, node) want_comma = True for value in node.values: if want_comma: self.write(', ') - self.visit(value) + self.parents.append(type(node).__name__) + self.visit(value, node) want_comma = True if not node.nl: self.write(',') + self.parents.append(type(node).__name__) def visit_Delete(self, node): self.newline(node) self.write('del ') + self.parents.append(type(node).__name__) for idx, target in enumerate(node.targets): if idx: self.write(', ') - self.visit(target) + self.parents.append(type(node).__name__) + self.visit(target, node) def visit_Try(self, node): self.newline(node) #try block self.write('try:') - self.body(node.body) + self.parents.append(type(node).__name__) + self.body(node.body, node) self.newline(node) #except block for handler in node.handlers: - self.visit(handler) + self.visit(handler, node) #except else if len(node.orelse): self.write('else:') - self.body(node.orelse) + self.parents.append(type(node).__name__) + self.body(node.orelse, node) #except finally if len(node.finalbody): self.write('finally:') - self.body(node.finalbody) + self.parents.append(type(node).__name__) + self.body(node.finalbody, node) def visit_TryExcept(self, node): self.newline(node) self.write('try:') - self.body(node.body) + self.parents.append(type(node).__name__) + self.body(node.body, node) for handler in node.handlers: - self.visit(handler) + self.visit(handler, node) def visit_TryFinally(self, node): self.newline(node) self.write('try:') - self.body(node.body) + self.parents.append(type(node).__name__) + self.body(node.body, node) self.newline(node) self.write('finally:') - self.body(node.finalbody) + self.parents.append(type(node).__name__) + self.body(node.finalbody, node) def visit_Global(self, node): self.newline(node) self.write('global ' + ', '.join(node.names)) + self.parents.append(type(node).__name__) def visit_Nonlocal(self, node): self.newline(node) self.write('nonlocal ' + ', '.join(node.names)) + self.parents.append(type(node).__name__) def visit_Return(self, node): self.newline(node) self.write('return ') + self.parents.append(type(node).__name__) if node.value: - self.visit(node.value) + self.visit(node.value, node) def visit_Break(self, node): self.newline(node) self.write('break') + self.parents.append(type(node).__name__) def visit_Continue(self, node): self.newline(node) self.write('continue') + self.parents.append(type(node).__name__) def visit_Raise(self, node): # XXX: Python 2.6 / 3.0 compatibility self.newline(node) self.write('raise') + self.parents.append(type(node).__name__) if hasattr(node, 'exc') and node.exc is not None: self.write(' ') - self.visit(node.exc) + self.parents.append(type(node).__name__) + self.visit(node.exc, node) if node.cause is not None: self.write(' from ') - self.visit(node.cause) + self.parents.append(type(node).__name__) + self.visit(node.cause, node) elif hasattr(node, 'type') and node.type is not None: - self.visit(node.type) + self.visit(node.type, node) if node.inst is not None: self.write(', ') - self.visit(node.inst) + self.parents.append(type(node).__name__) + self.visit(node.inst, node) if node.tback is not None: self.write(', ') - self.visit(node.tback) + self.parents.append(type(node).__name__) + self.visit(node.tback, node) # Expressions def visit_Attribute(self, node): - self.visit(node.value) + self.visit(node.value, node) self.write('.') + self.parents.append(type(node).__name__) self.write(node.attr) + self.parents.append(type(node).__name__) def visit_Call(self, node): want_comma = [] @@ -377,63 +447,80 @@ def visit_Call(self, node): def write_comma(): if want_comma: self.write(', ') + self.parents.append(type(node).__name__) else: want_comma.append(True) - self.visit(node.func) + self.visit(node.func, node) self.write('(') + self.parents.append(type(node).__name__) for arg in node.args: write_comma() - self.visit(arg) + self.visit(arg, node) for keyword in node.keywords: write_comma() if keyword.arg: self.write(keyword.arg + '=') - self.visit(keyword.value) + self.parents.append(type(node).__name__) + self.visit(keyword.value, node) else: self.write('**') - self.visit(keyword.value) + self.parents.append(type(node).__name__) + self.visit(keyword.value, node) # if hasattr(node, 'starargs') and node.starargs is not None: # write_comma() # self.write('*') - # self.visit(node.starargs) + self.parents.append(type(node).__name__) + # self.visit(node.starargs, node) # if hasattr(node, 'kwargs') and node.kwargs is not None: # write_comma() # self.write('**') - # self.visit(node.kwargs) + self.parents.append(type(node).__name__) + # self.visit(node.kwargs, node) self.write(')') + self.parents.append(type(node).__name__) def visit_Name(self, node): self.write(node.id) + self.parents.append(type(node).__name__) def visit_Str(self, node): if self.docstring != node.s: self.write(repr(node.s)) + self.parents.append(type(node).__name__) def visit_Bytes(self, node): self.write(repr(node.s)) + self.parents.append(type(node).__name__) def visit_Num(self, node): self.write(repr(node.n)) + self.parents.append(type(node).__name__) def visit_Tuple(self, node): self.write('(') + self.parents.append(type(node).__name__) idx = -1 for idx, item in enumerate(node.elts): if idx: self.write(',') - self.visit(item) + self.parents.append(type(node).__name__) + self.visit(item, node) self.write(idx and ')' or ',)') + self.parents.append(type(node).__name__) def sequence_visit(left, right): def visit(self, node): self.write(left) + self.parents.append(type(node).__name__) for idx, item in enumerate(node.elts): if idx: self.write(', ') - self.visit(item) + self.parents.append(type(node).__name__) + self.visit(item, node) self.write(right) + self.parents.append(type(node).__name__) return visit @@ -443,92 +530,119 @@ def visit(self, node): def visit_Dict(self, node): self.write('{') + self.parents.append(type(node).__name__) for idx, (key, value) in enumerate(zip(node.keys, node.values)): if idx: self.write(', ') + self.parents.append(type(node).__name__) if key!=None: - self.visit(key) + self.visit(key, node) self.write(': ') - self.visit(value) + self.parents.append(type(node).__name__) + self.visit(value, node) elif key==None: self.write('**') - self.visit(value) + self.parents.append(type(node).__name__) + self.visit(value, node) self.write('}') + self.parents.append(type(node).__name__) def visit_BinOp(self, node): - self.visit(node.left) + self.visit(node.left, node) # self.write('%s' % BINOP_SYMBOLS[type(node.op)]) - self.visit(node.right) + self.parents.append(type(node).__name__) + self.visit(node.right, node) def visit_BoolOp(self, node): self.write('(') + self.parents.append(type(node).__name__) for idx, value in enumerate(node.values): if idx: self.write(' %s ' % BOOLOP_SYMBOLS[type(node.op)]) - self.visit(value) + self.parents.append(type(node).__name__) + self.visit(value, node) self.write(')') + self.parents.append(type(node).__name__) def visit_Compare(self, node): self.write('(') - self.visit(node.left) + self.parents.append(type(node).__name__) + self.visit(node.left, node) for op, right in zip(node.ops, node.comparators): self.write(' %s ' % CMPOP_SYMBOLS[type(op)]) - self.visit(right) + self.parents.append(type(node).__name__) + self.visit(right, node) self.write(')') + self.parents.append(type(node).__name__) def visit_UnaryOp(self, node): self.write('(') + self.parents.append(type(node).__name__) op = UNARYOP_SYMBOLS[type(node.op)] self.write(op) + self.parents.append(type(node).__name__) if op == 'not': self.write(' ') - self.visit(node.operand) + self.parents.append(type(node).__name__) + self.visit(node.operand, node) self.write(')') + self.parents.append(type(node).__name__) def visit_Subscript(self, node): - self.visit(node.value) + self.visit(node.value, node) self.write('[') - self.visit(node.slice) + self.parents.append(type(node).__name__) + self.visit(node.slice, node) self.write(']') + self.parents.append(type(node).__name__) def visit_Slice(self, node): if node.lower is not None: - self.visit(node.lower) + self.visit(node.lower, node) self.write(':') + self.parents.append(type(node).__name__) if node.upper is not None: - self.visit(node.upper) + self.visit(node.upper, node) if node.step is not None: self.write(':') + self.parents.append(type(node).__name__) if not (isinstance(node.step, Name) and node.step.id == 'None'): - self.visit(node.step) + self.visit(node.step, node) def visit_ExtSlice(self, node): for idx, item in enumerate(node.dims): if idx: self.write(', ') - self.visit(item) + self.parents.append(type(node).__name__) + self.visit(item, node) def visit_Yield(self, node): self.write('yield ') + self.parents.append(type(node).__name__) if node.value: - self.visit(node.value) + self.visit(node.value, node) def visit_Lambda(self, node): self.write('lambda ') + self.parents.append(type(node).__name__) self.signature(node.args) self.write(': ') - self.visit(node.body) + self.parents.append(type(node).__name__) + self.visit(node.body, node) def visit_Ellipsis(self, node): self.write('Ellipsis') + self.parents.append(type(node).__name__) def generator_visit(left, right): def visit(self, node): self.write(left) - self.visit(node.elt) + self.parents.append(type(node).__name__) + self.visit(node.elt, node) for comprehension in node.generators: - self.visit(comprehension) + self.visit(comprehension, node) self.write(right) + self.parents.append(type(node).__name__) return visit @@ -539,67 +653,89 @@ def visit(self, node): def visit_DictComp(self, node): self.write('{') - self.visit(node.key) + self.parents.append(type(node).__name__) + self.visit(node.key, node) self.write(': ') - self.visit(node.value) + self.parents.append(type(node).__name__) + self.visit(node.value, node) for comprehension in node.generators: - self.visit(comprehension) + self.visit(comprehension, node) self.write('}') + self.parents.append(type(node).__name__) def visit_IfExp(self, node): - self.visit(node.body) + self.visit(node.body, node) self.write(' if ') - self.visit(node.test) + self.parents.append(type(node).__name__) + self.visit(node.test, node) self.write(' else ') - self.visit(node.orelse) + self.parents.append(type(node).__name__) + self.visit(node.orelse, node) def visit_Starred(self, node): self.write('*') - self.visit(node.value) + self.parents.append(type(node).__name__) + self.visit(node.value, node) def visit_Repr(self, node): # XXX: python 2.6 only self.write('`') - self.visit(node.value) + self.parents.append(type(node).__name__) + self.visit(node.value, node) self.write('`') + self.parents.append(type(node).__name__) # Helper Nodes def visit_alias(self, node): self.write(node.name) + self.parents.append(type(node).__name__) if node.asname is not None: self.write(' as ' + node.asname) + self.parents.append(type(node).__name__) def visit_comprehension(self, node): self.write(' for ') - self.visit(node.target) + self.parents.append(type(node).__name__) + self.visit(node.target, node) self.write(' in ') - self.visit(node.iter) + self.parents.append(type(node).__name__) + self.visit(node.iter, node) if node.ifs: for if_ in node.ifs: self.write(' if ') - self.visit(if_) + self.parents.append(type(node).__name__) + self.visit(if_, node) def visit_ExceptHandler(self, node): self.newline(node) self.write('except') + self.parents.append(type(node).__name__) if node.type is not None: self.write(' ') - self.visit(node.type) + self.parents.append(type(node).__name__) + self.visit(node.type, node) if node.name is not None: self.write(', ') + self.parents.append(type(node).__name__) self.write(node.name) + self.parents.append(type(node).__name__) self.write(':') - self.body(node.body) + self.parents.append(type(node).__name__) + self.body(node.body, node) # def visit_exceptHandler(self, node): # self.newline(node) # self.write('except') + # self.parents.append(type(node).__name__) # if node.type is not None: # self.write(' ') - # self.visit(node.type) + # self.parents.append(type(node).__name__) + # self.visit(node.type, node) # if node.name is not None: - # self.write(', ') - # self.visit(node.name) + # # self.write(', ') + # self.parents.append(type(node).__name__) + # self.visit(node.name, node) # self.write(':') - # self.body(node.body) \ No newline at end of file + # self.parents.append(type(node).__name__) + # self.body(node.body, node) \ No newline at end of file diff --git a/src/utils/my_ast.py b/src/utils/my_ast.py index e13a2be8..277789fc 100644 --- a/src/utils/my_ast.py +++ b/src/utils/my_ast.py @@ -304,16 +304,21 @@ class name of the node. So a `TryFinally` node visit function would """ first_type = True - def visit(self, node): + def visit(self, node, parent=None): """Visit a node.""" method = 'visit_' + node.__class__.__name__ visitor = getattr(self, method, self.generic_visit) + if type(node) ==Expr: pass elif type(node)==Str and self.docstring == node.s: pass else: self.write(node.__class__.__name__) + if parent: + self.parents.append(type(parent).__name__) + else: + self.parents.append(None) return visitor(node) def generic_visit(self, node): @@ -322,9 +327,9 @@ def generic_visit(self, node): if isinstance(value, list): for item in value: if isinstance(item, AST): - self.visit(item) + self.visit(item, node) elif isinstance(value, AST): - self.visit(value) + self.visit(value, node) class NodeTransformer(NodeVisitor): From 0b646d2f40a9ae930abf7069612fcd5c2ebc4da1 Mon Sep 17 00:00:00 2001 From: faizan khan Date: Wed, 8 Apr 2020 21:27:17 -0400 Subject: [PATCH 02/11] finalized removal of buggy samples --- script/dfs_traversal.py | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/script/dfs_traversal.py b/script/dfs_traversal.py index 96ef25b9..9e74aa18 100644 --- a/script/dfs_traversal.py +++ b/script/dfs_traversal.py @@ -5,8 +5,8 @@ import subprocess import os -path = 'resources/data/python/final/jsonl/valid_old/python_valid_0.jsonl.gz' -s_path = 'resources/data/python/final/jsonl/valid/python_valid_0_updated.jsonl.gz' +path = '../resources/data/python/final/jsonl/valid_old/python_valid_0.jsonl.gz' +s_path = '../resources/data/python/final/jsonl/valid/python_valid_0_updated.jsonl.gz' a = RichPath.create(path) s = RichPath.create(s_path) @@ -14,6 +14,7 @@ print('started') b = list(a.read_as_jsonl()) +c=[] count = 0 def convert_code_to_tokens(code): @@ -48,7 +49,7 @@ def convert_code_to_tokens(code): for idx, sample in enumerate(b): print("sample {} in progress".format(idx)) # print(sample['code']) - if idx==3282: + if idx==5306: print(sample['code']) tokenization = convert_code_to_tokens(sample['code']) @@ -56,12 +57,13 @@ def convert_code_to_tokens(code): templist.append(idx) else: b[idx]['code_tokens'] = tokenization + c.append(b[idx]) # tree = my_ast.parse(sample['code']) # an = SourceGenerator(' ') # an.visit(tree) # b[idx]['code_tokens'] = an.result -s.save_as_compressed_file(b) +s.save_as_compressed_file(c) print('finished', templist, len(templist), tokenization) From fcaee6a1997c4d6c4450319bea54f7ba038ed3d7 Mon Sep 17 00:00:00 2001 From: faizan khan Date: Fri, 10 Apr 2020 18:14:15 -0400 Subject: [PATCH 03/11] final working parent-node-extraction code --- script/parent_node_pairs.py | 496 ++++------------------------ script/parent_node_parse_helpers.py | 337 +++++++++++++++++++ 2 files changed, 393 insertions(+), 440 deletions(-) create mode 100644 script/parent_node_parse_helpers.py diff --git a/script/parent_node_pairs.py b/script/parent_node_pairs.py index 2d1814cf..31cbe743 100644 --- a/script/parent_node_pairs.py +++ b/script/parent_node_pairs.py @@ -3,17 +3,11 @@ from src.utils import my_ast from src.utils.codegen import * import subprocess + +from parent_node_parse_helpers import dfs_traversal_with_parents import pandas as pd import os -# path = 'resources/data/python/final/jsonl/valid_old/temp_train_10.jsonl.gz' -# # s_path = 'resources/data/python/final/jsonl/valid/temp_valid_10.jsonl.gz' -# -# a = RichPath.create(path) -# s = RichPath.create(s_path) -# -# print('started') -# b = list(a.read_as_jsonl()) count = 0 @@ -37,443 +31,66 @@ def convert_code_to_tokens(code): # os.rmdir('temp.py') except: pass - if tree!='': - an = SourceGenerator(' ') - an.visit(tree) - return an.result, an.parents + if tree!='' and tree != None: + return dfs_traversal_with_parents(tree) else: - return [] -# - -# templist = [] -# for idx, sample in enumerate(b): -# print("sample {} in progress".format(idx)) -# # print(sample['code']) -# if idx==3282: -# print(sample['code']) -# -# tokenization = convert_code_to_tokens(sample['code']) -# if tokenization == []: -# templist.append(idx) -# else: -# b[idx]['code_tokens'] = tokenization -# # tree = my_ast.parse(sample['code']) -# # an = SourceGenerator(' ') -# # an.visit(tree) -# # b[idx]['code_tokens'] = an.result -# -# s.save_as_compressed_file(b) -# print('finished', templist, len(templist), tokenization) - -import ast -import sys -import json -# def parse_file(code): -# global c, d -# tree = ast.parse(code) -# -# json_tree = [] -# -# def gen_identifier(identifier, node_type='identifier'): -# pos = len(json_tree) -# json_node = {} -# json_tree.append(json_node) -# json_node['type'] = node_type -# json_node['value'] = identifier -# return pos -# -# def traverse_list(l, node_type='list'): -# pos = len(json_tree) -# json_node = {} -# json_tree.append(json_node) -# json_node['type'] = node_type -# children = [] -# for item in l: -# children.append(traverse(item)) -# if (len(children) != 0): -# json_node['children'] = children -# return pos -# -# def traverse(node): -# pos = len(json_tree) -# json_node = {} -# json_tree.append(json_node) -# json_node['type'] = type(node).__name__ -# children = [] -# if isinstance(node, ast.Name): -# json_node['value'] = node.id -# elif isinstance(node, ast.Num): -# json_node['value'] = unicode(node.n) -# elif isinstance(node, ast.Str): -# json_node['value'] = node.s.decode('utf-8') -# elif isinstance(node, ast.alias): -# json_node['value'] = unicode(node.name) -# if node.asname: -# children.append(gen_identifier(node.asname)) -# elif isinstance(node, ast.FunctionDef): -# json_node['value'] = unicode(node.name) -# elif isinstance(node, ast.ClassDef): -# json_node['value'] = unicode(node.name) -# elif isinstance(node, ast.ImportFrom): -# if node.module: -# json_node['value'] = unicode(node.module) -# elif isinstance(node, ast.Global): -# for n in node.names: -# children.append(gen_identifier(n)) -# elif isinstance(node, ast.keyword): -# json_node['value'] = unicode(node.arg) -# -# # Process children. -# if isinstance(node, ast.For): -# children.append(traverse(node.target)) -# children.append(traverse(node.iter)) -# children.append(traverse_list(node.body, 'body')) -# if node.orelse: -# children.append(traverse_list(node.orelse, 'orelse')) -# elif isinstance(node, ast.If) or isinstance(node, ast.While): -# children.append(traverse(node.test)) -# children.append(traverse_list(node.body, 'body')) -# if node.orelse: -# children.append(traverse_list(node.orelse, 'orelse')) -# elif isinstance(node, ast.With): -# children.append(traverse(node.context_expr)) -# if node.optional_vars: -# children.append(traverse(node.optional_vars)) -# children.append(traverse_list(node.body, 'body')) -# elif isinstance(node, ast.Try): -# children.append(traverse_list(node.body, 'body')) -# children.append(traverse_list(node.handlers, 'handlers')) -# if node.orelse: -# children.append(traverse_list(node.orelse, 'orelse')) -# if node.finalbody: -# children.append(traverse_list(node.finalbody, 'finalbody')) -# elif isinstance(node, ast.arguments): -# children.append(traverse_list(node.args, 'args')) -# children.append(traverse_list(node.defaults, 'defaults')) -# if node.vararg: -# children.append(gen_identifier(node.vararg, 'vararg')) -# if node.kwarg: -# children.append(gen_identifier(node.kwarg, 'kwarg')) -# elif isinstance(node, ast.ExceptHandler): -# if node.type: -# children.append(traverse_list([node.type], 'type')) -# if node.name: -# children.append(traverse_list([node.name], 'name')) -# children.append(traverse_list(node.body, 'body')) -# elif isinstance(node, ast.ClassDef): -# children.append(traverse_list(node.bases, 'bases')) -# children.append(traverse_list(node.body, 'body')) -# children.append(traverse_list(node.decorator_list, 'decorator_list')) -# elif isinstance(node, ast.FunctionDef): -# children.append(traverse(node.args)) -# children.append(traverse_list(node.body, 'body')) -# children.append(traverse_list(node.decorator_list, 'decorator_list')) -# else: -# # Default handling: iterate over children. -# for child in ast.iter_child_nodes(node): -# if isinstance(child, ast.expr_context) or isinstance(child, ast.operator) or isinstance(child, -# ast.boolop) or isinstance( -# child, ast.unaryop) or isinstance(child, ast.cmpop): -# # Directly include expr_context, and operators into the type instead of creating a child. -# json_node['type'] = json_node['type'] + type(child).__name__ -# else: -# children.append(traverse(child)) -# -# if isinstance(node, ast.Attribute): -# children.append(gen_identifier(node.attr, 'attr')) -# -# if (len(children) != 0): -# json_node['children'] = children -# return pos -# -# traverse(tree) -# return json_tree - -# def updated_parse_file(code): -# global c, d -# tree = ast.parse(code) -# -# json_tree = [] -# -# def gen_identifier(identifier, node_type='identifier', parent=None): -# pos = len(json_tree) -# json_node = {} -# json_tree.append(json_node) -# # json_node['type'] = node_type -# json_node[node_type] = identifier -# if parent: -# json_node['parent'] = type(parent).__name__ -# else: -# json_node['parent'] = None -# return pos -# -# def traverse_list(l, node_type='list', parent=None): -# pos = len(json_tree) -# json_node = {} -# json_tree.append(json_node) -# json_node[node_type] = [] -# if parent: -# json_node['parent'] = type(parent).__name__ -# else: -# json_node['parent'] = None -# children = [] -# for item in l: -# children.append(traverse(item)) -# if (len(children) != 0): -# json_node[node_type] = children -# return pos + return [], [] # -# def traverse(node, parent=None): -# pos = len(json_tree) -# json_node = {} -# json_tree.append(json_node) -# json_node[type(node).__name__] = [] -# if parent: -# json_node['parent'] = type(parent).__name__ -# else: -# json_node['parent'] = None -# children = [] -# if isinstance(node, ast.Name): -# json_node[type(node).__name__] = node.id -# elif isinstance(node, ast.Num): -# json_node[type(node).__name__] = unicode(node.n) -# elif isinstance(node, ast.Str): -# json_node[type(node).__name__] = node.s.decode('utf-8') -# elif isinstance(node, ast.alias): -# json_node[type(node).__name__] = unicode(node.name) -# if node.asname: -# children.append(gen_identifier(node.asname)) -# elif isinstance(node, ast.FunctionDef): -# json_node[type(node).__name__] = unicode(node.name) -# elif isinstance(node, ast.ClassDef): -# json_node[type(node).__name__] = unicode(node.name) -# elif isinstance(node, ast.ImportFrom): -# if node.module: -# json_node[type(node).__name__] = unicode(node.module) -# elif isinstance(node, ast.Global): -# for n in node.names: -# children.append(gen_identifier(n)) -# elif isinstance(node, ast.keyword): -# json_node[type(node).__name__] = unicode(node.arg) -# -# # Process children. -# if isinstance(node, ast.For): -# children.append(traverse(node.target, node)) -# children.append(traverse(node.iter, node)) -# children.append(traverse_list(node.body, 'body', node)) -# if node.orelse: -# children.append(traverse_list(node.orelse, 'orelse', node)) -# elif isinstance(node, ast.If) or isinstance(node, ast.While): -# children.append(traverse(node.test, node)) -# children.append(traverse_list(node.body, 'body', node)) -# if node.orelse: -# children.append(traverse_list(node.orelse, 'orelse', node)) -# elif isinstance(node, ast.With): -# children.append(traverse(node.context_expr, node)) -# if node.optional_vars: -# children.append(traverse(node.optional_vars, node)) -# children.append(traverse_list(node.body, 'body', node)) -# elif isinstance(node, ast.Try): -# children.append(traverse_list(node.body, 'body', node)) -# children.append(traverse_list(node.handlers, 'handlers', node)) -# if node.orelse: -# children.append(traverse_list(node.orelse, 'orelse', node)) -# if node.finalbody: -# children.append(traverse_list(node.finalbody, 'finalbody', node)) -# elif isinstance(node, ast.arguments): -# children.append(traverse_list(node.args, 'args', node)) -# children.append(traverse_list(node.defaults, 'defaults', node)) -# if node.vararg: -# children.append(gen_identifier(node.vararg, 'vararg')) -# if node.kwarg: -# children.append(gen_identifier(node.kwarg, 'kwarg')) -# elif isinstance(node, ast.ExceptHandler): -# if node.type: -# children.append(traverse_list([node.type], 'type', node)) -# if node.name: -# children.append(traverse_list([node.name], 'name', node)) -# children.append(traverse_list(node.body, 'body', node)) -# elif isinstance(node, ast.ClassDef): -# children.append(traverse_list(node.bases, 'bases', node)) -# children.append(traverse_list(node.body, 'body', node)) -# children.append(traverse_list(node.decorator_list, 'decorator_list', node)) -# elif isinstance(node, ast.FunctionDef): -# children.append(traverse(node.args, node)) -# children.append(traverse_list(node.body, 'body',node)) -# children.append(traverse_list(node.decorator_list, 'decorator_list',node)) -# else: -# # Default handling: iterate over children. -# for child in ast.iter_child_nodes(node): -# if isinstance(child, ast.expr_context) or isinstance(child, ast.operator) or isinstance(child, -# ast.boolop) or isinstance( -# child, ast.unaryop) or isinstance(child, ast.cmpop): -# # Directly include expr_context, and operators into the type instead of creating a child. -# json_node[type(node).__name__ + type(child).__name__] = json_node[type(node).__name__] -# del json_node[type(node).__name__] -# else: -# children.append(traverse(child,node)) -# -# if isinstance(node, ast.Attribute): -# children.append(gen_identifier(node.attr, 'Attr')) -# -# if (len(children) != 0): -# if type(node).__name__ not in json_node.keys(): -# json_node[type(node).__name__ + type(child).__name__] = children -# else: -# json_node[type(node).__name__] = children -# return pos -# -# traverse(tree) -# return json_tree -# # return json.dumps(json_tree, separators=(',', ':'), ensure_ascii=False) -def parse_file_with_parents(code): - global c, d - tree = ast.parse(code) - json_tree = [] +from pprint import pprint +if __name__=='__main__': + print('something') - def gen_identifier(identifier, node_type='identifier', parent=None): - pos = len(json_tree) - json_node = {} - json_tree.append(json_node) - json_node['type'] = node_type - json_node['value'] = identifier - if parent: - json_node['parent'] = type(parent).__name__ - else: - json_node['parent'] = None - return pos + #[26045, 28475] - def traverse_list(l, node_type='list'): - pos = len(json_tree - json_node = {} - json_tree.append(json_node) - json_node['type'] = node_type - if parent: - json_node['parent'] = type(parent).__name__ - else: - json_node['parent'] = None - children = [] - for item in l: - children.append(traverse(item)) - if (len(children) != 0): - json_node['children'] = children - return pos + path = '../resources/data/python/final/jsonl/train_old/python_train_0.jsonl.gz' + s_path = '../resources/data/python/final/jsonl/train/python_train_0_dfs_parent.jsonl.gz' - def traverse(node): - pos = len(json_tree) - json_node = {} - json_tree.append(json_node) - json_node['type'] = type(node).__name__ - if parent: - json_node['parent'] = type(parent).__name__ - else: - json_node['parent'] = None - children = [] - if isinstance(node, ast.Name): - json_node['value'] = node.id - elif isinstance(node, ast.Num): - json_node['value'] = unicode(node.n) - elif isinstance(node, ast.Str): - json_node['value'] = node.s.decode('utf-8') - elif isinstance(node, ast.alias): - json_node['value'] = unicode(node.name) - if node.asname: - children.append(gen_identifier(node.asname)) - elif isinstance(node, ast.FunctionDef): - json_node['value'] = unicode(node.name) - elif isinstance(node, ast.ClassDef): - json_node['value'] = unicode(node.name) - elif isinstance(node, ast.ImportFrom): - if node.module: - json_node['value'] = unicode(node.module) - elif isinstance(node, ast.Global): - for n in node.names: - children.append(gen_identifier(n)) - elif isinstance(node, ast.keyword): - json_node['value'] = unicode(node.arg) + a = RichPath.create(path) + s = RichPath.create(s_path) - # Process children. - if isinstance(node, ast.For): - children.append(traverse(node.target)) - children.append(traverse(node.iter)) - children.append(traverse_list(node.body, 'body')) - if node.orelse: - children.append(traverse_list(node.orelse, 'orelse')) - elif isinstance(node, ast.If) or isinstance(node, ast.While): - children.append(traverse(node.test)) - children.append(traverse_list(node.body, 'body')) - if node.orelse: - children.append(traverse_list(node.orelse, 'orelse')) - elif isinstance(node, ast.With): - children.append(traverse(node.context_expr)) - if node.optional_vars: - children.append(traverse(node.optional_vars)) - children.append(traverse_list(node.body, 'body')) - elif isinstance(node, ast.Try): - children.append(traverse_list(node.body, 'body')) - children.append(traverse_list(node.handlers, 'handlers')) - if node.orelse: - children.append(traverse_list(node.orelse, 'orelse')) - if node.finalbody: - children.append(traverse_list(node.finalbody, 'finalbody')) - elif isinstance(node, ast.arguments): - children.append(traverse_list(node.args, 'args')) - children.append(traverse_list(node.defaults, 'defaults')) - if node.vararg: - children.append(gen_identifier(node.vararg, 'vararg')) - if node.kwarg: - children.append(gen_identifier(node.kwarg, 'kwarg')) - elif isinstance(node, ast.ExceptHandler): - if node.type: - children.append(traverse_list([node.type], 'type')) - if node.name: - children.append(traverse_list([node.name], 'name')) - children.append(traverse_list(node.body, 'body')) - elif isinstance(node, ast.ClassDef): - children.append(traverse_list(node.bases, 'bases')) - children.append(traverse_list(node.body, 'body')) - children.append(traverse_list(node.decorator_list, 'decorator_list')) - elif isinstance(node, ast.FunctionDef): - children.append(traverse(node.args)) - children.append(traverse_list(node.body, 'body')) - children.append(traverse_list(node.decorator_list, 'decorator_list')) - else: - # Default handling: iterate over children. - for child in ast.iter_child_nodes(node): - if isinstance(child, ast.expr_context) or isinstance(child, ast.operator) or isinstance(child, - ast.boolop) or isinstance( - child, ast.unaryop) or isinstance(child, ast.cmpop): - # Directly include expr_context, and operators into the type instead of creating a child. - json_node['type'] = json_node['type'] + type(child).__name__ - else: - children.append(traverse(child)) + print('started') + b = list(a.read_as_jsonl()) - if isinstance(node, ast.Attribute): - children.append(gen_identifier(node.attr, 'attr')) + b = sorted(b, key=lambda v: len(v['code_tokens'])) - if (len(children) != 0): - json_node['children'] = children - return pos + templist = [] + c = [] + for idx, sample in enumerate(b[10000:30000],10000): + print("sample {} in progress".format(idx)) + # print(sample['code']) - traverse(tree) - return json_tree + if idx == 19 or sample['sha']=='618d6bff71073c8c93501ab7392c3cc579730f0b': + print(sample['code']) + dfs, parent_dfs = convert_code_to_tokens(sample['code']) + if dfs == [] or parent_dfs==[]: + templist.append(idx) + else: + b[idx]['code_tokens'] = dfs + b[idx]['parent_dfs'] = parent_dfs + c.append(b[idx]) -# [{'children': [1], 'type': 'Module'}, -# {'children': [2, 3], 'type': 'Assign'}, -# {'type': 'NameStore', 'value': 'ip'}, -# {'children': [4, 7], 'type': 'Call'}, -# {'children': [5, 6], 'type': 'AttributeLoad'}, -# {'type': 'NameLoad', 'value': 'socket'}, -# {'type': 'attr', 'value': 'gethostbyname'}, -# {'type': 'NameLoad', 'value': 'host'}] + s.save_as_compressed_file(c) + # df = pd.DataFrame([dfs, parent_dfs]) + # print(parent_dfs) + print('finished', templist, len(templist), len(c)) -from pprint import pprint -if __name__=='__main__': - print('something') + # code= '''def f(a, b=1, c=2, *d, e, f=3, **g): + # pass''' + # + # code = b[2]['code'] + # print(code) + # code = '''ip = socket.gethostbyname(host)''' + # + # code = '''ip = socket.gethostbyname(host)\n[ port , request_size , num_requests , num_conns ] = map ( + # string .atoi , sys . argv [2:] + # )\nchain = build_request_chain ( num_requests , host , request_size )''' + + # code = '''from foo import bar as b, car as c, dar as d''' + # print(convert_code_to_tokens(code)) # code ='''print('something') # try: @@ -485,16 +102,15 @@ def traverse(node): # finally: # return 2''' - # code= '''def f(a, b=1, c=2, *d, e, f=3, **g): - # pass''' - code = '''ip = socket.gethostbyname(host)''' - # code = '''func(a, b=c, *d, **e)''' - # a, b = convert_code_to_tokens(code) - # df = pd.DataFrame([a, b]) - # print(df.T) - result_tree = updated_parse_file(code) - # print(pd.read_json(result_tree)) - print(result_tree) \ No newline at end of file +# # code = '''func(a, b=c, *d, **e)''' +# # a, b = parse_file_with_parents(code) +# # df = pd.DataFrame([a, b]) +# # print(df.T) +# +# result_tree = parse_file_with_parents(code) + # # + # # # print(pd.read_json(result_tree)) + # pprint(result_tree) \ No newline at end of file diff --git a/script/parent_node_parse_helpers.py b/script/parent_node_parse_helpers.py new file mode 100644 index 00000000..09bcb00f --- /dev/null +++ b/script/parent_node_parse_helpers.py @@ -0,0 +1,337 @@ + +unicode = lambda s: str(s) +import ast +from pprint import pprint +import pandas as pd + +def create_tree_without_parents(code): + global c, d + tree = ast.parse(code) + + json_tree = [] + + def gen_identifier(identifier, node_type='identifier'): + pos = len(json_tree) + json_node = {} + json_tree.append(json_node) + json_node['type'] = node_type + json_node['value'] = identifier + return pos + + def traverse_list(l, node_type='list'): + pos = len(json_tree) + json_node = {} + json_tree.append(json_node) + json_node['type'] = node_type + children = [] + for item in l: + children.append(traverse(item)) + if (len(children) != 0): + json_node['children'] = children + return pos + + def traverse(node): + pos = len(json_tree) + json_node = {} + json_tree.append(json_node) + json_node['type'] = type(node).__name__ + children = [] + if isinstance(node, ast.Name): + json_node['value'] = node.id + elif isinstance(node, ast.Num): + json_node['value'] = unicode(node.n) + elif isinstance(node, ast.Str): + json_node['value'] = node.s + elif isinstance(node, ast.alias): + json_node['value'] = unicode(node.name) + if node.asname: + children.append(gen_identifier(node.asname)) + elif isinstance(node, ast.FunctionDef): + json_node['value'] = unicode(node.name) + elif isinstance(node, ast.ClassDef): + json_node['value'] = unicode(node.name) + elif isinstance(node, ast.ImportFrom): + if node.module: + json_node['value'] = unicode(node.module) + elif isinstance(node, ast.Global): + for n in node.names: + children.append(gen_identifier(n)) + elif isinstance(node, ast.keyword): + json_node['value'] = unicode(node.arg) + + # Process children. + if isinstance(node, ast.For): + children.append(traverse(node.target)) + children.append(traverse(node.iter)) + children.append(traverse_list(node.body, 'body')) + if node.orelse: + children.append(traverse_list(node.orelse, 'orelse')) + elif isinstance(node, ast.If) or isinstance(node, ast.While): + children.append(traverse(node.test)) + children.append(traverse_list(node.body, 'body')) + if node.orelse: + children.append(traverse_list(node.orelse, 'orelse')) + elif isinstance(node, ast.With): + children.append(traverse(node.context_expr)) + if node.optional_vars: + children.append(traverse(node.optional_vars)) + children.append(traverse_list(node.body, 'body')) + elif isinstance(node, ast.Try): + children.append(traverse_list(node.body, 'body')) + children.append(traverse_list(node.handlers, 'handlers')) + if node.orelse: + children.append(traverse_list(node.orelse, 'orelse')) + if node.finalbody: + children.append(traverse_list(node.finalbody, 'finalbody')) + elif isinstance(node, ast.arguments): + children.append(traverse_list(node.args, 'args')) + children.append(traverse_list(node.defaults, 'defaults')) + if node.vararg: + children.append(gen_identifier(node.vararg, 'vararg')) + if node.kwarg: + children.append(gen_identifier(node.kwarg, 'kwarg')) + elif isinstance(node, ast.ExceptHandler): + if node.type: + children.append(traverse_list([node.type], 'type')) + if node.name: + children.append(traverse_list([node.name], 'name')) + children.append(traverse_list(node.body, 'body')) + elif isinstance(node, ast.ClassDef): + children.append(traverse_list(node.bases, 'bases')) + children.append(traverse_list(node.body, 'body')) + children.append(traverse_list(node.decorator_list, 'decorator_list')) + elif isinstance(node, ast.FunctionDef): + children.append(traverse(node.args)) + children.append(traverse_list(node.body, 'body')) + children.append(traverse_list(node.decorator_list, 'decorator_list')) + else: + # Default handling: iterate over children. + for child in ast.iter_child_nodes(node): + if isinstance(child, ast.expr_context) or isinstance(child, ast.operator) or isinstance(child, + ast.boolop) or isinstance( + child, ast.unaryop) or isinstance(child, ast.cmpop): + # Directly include expr_context, and operators into the type instead of creating a child. + json_node['type'] = json_node['type'] + type(child).__name__ + else: + children.append(traverse(child)) + + if isinstance(node, ast.Attribute): + children.append(gen_identifier(node.attr, 'attr')) + + if (len(children) != 0): + json_node['children'] = children + return pos + + traverse(tree) + return json_tree + + +def get_docstring(node, clean=True): + """ + Return the docstring for the given node or None if no docstring can + be found. If the node provided does not have docstrings a TypeError + will be raised. + + If *clean* is `True`, all tabs are expanded to spaces and any whitespace + that can be uniformly removed from the second line onwards is removed. + """ + if not isinstance(node, (ast.FunctionDef, ast.ClassDef, ast.Module)): + raise TypeError("%r can't have docstrings" % node.__class__.__name__) + if not(node.body and isinstance(node.body[0], ast.Expr)): + return None + node = node.body[0].value + if isinstance(node, ast.Str): + text = node.s + # elif isinstance(node, Constant) and isinstance(node.value, str): + # text = node.value + else: + return None + if clean: + import inspect + text = inspect.cleandoc(text) + return text + + +def dfs_traversal_with_parents(tree): + global c, d + + docstring = '' + json_tree = [] + + def gen_identifier(identifier, node_type='identifier', parent=None): + global docstring + pos = len(json_tree) + json_node = {} + json_tree.append(json_node) + json_node['type'] = node_type + json_node['value'] = identifier + + if parent: + if hasattr(parent, 'ctx'): + json_node['parent'] = type(parent).__name__+ type(parent.ctx).__name__ + else: + json_node['parent'] = type(parent).__name__ + else: + json_node['parent'] = None + return pos + + def traverse_list(l, node_type='list', parent=None): + pos = len(json_tree) + json_node = {} + json_tree.append(json_node) + json_node['type'] = node_type + if parent: + if hasattr(parent, 'ctx'): + json_node['parent'] = type(parent).__name__ + type(parent.ctx).__name__ + else: + json_node['parent'] = type(parent).__name__ + else: + json_node['parent'] = None + children = [] + for item in l: + if item: + children.append(traverse(item, node_type)) + if (len(children) != 0): + json_node['children'] = children + return pos + + def traverse(node, parent=None): + global docstring + pos = len(json_tree) + if not (isinstance(node, ast.Str) and docstring == node.s): + json_node = {} + json_tree.append(json_node) + json_node['type'] = type(node).__name__ + if parent: + if type(parent) == str: + json_node['parent'] = parent + elif hasattr(parent, 'ctx'): + json_node['parent'] = type(parent).__name__ + type(parent.ctx).__name__ + else: + json_node['parent'] = type(parent).__name__ + else: + json_node['parent'] = None + children = [] + if isinstance(node, ast.Name): + json_node['value'] = node.id + elif isinstance(node, ast.Num): + json_node['value'] = unicode(node.n) + elif isinstance(node, ast.Str): + if docstring != node.s: + json_node['value'] = node.s + elif isinstance(node, ast.alias): + json_node['value'] = unicode(node.name) + if node.asname: + json_node['value'] = unicode(node.name) + " as " + str(node.asname) + # children.append(gen_identifier(node.asname, 'asname', node)) + elif isinstance(node, ast.FunctionDef): + docstring = get_docstring(node, clean=False) + json_node['value'] = unicode(node.name) + elif isinstance(node, ast.ClassDef): + json_node['value'] = unicode(node.name) + elif isinstance(node, ast.ImportFrom): + if node.module: + json_node['value'] = unicode(node.module) + # if node.names: + # children.append(traverse_list(node.names, 'imports', node)) + + elif isinstance(node, ast.Global): + for n in node.names: + children.append(gen_identifier(n, 'name', node)) + elif isinstance(node, ast.keyword): + json_node['value'] = unicode(node.arg) + elif isinstance(node, ast.arg): + json_node['value'] = unicode(node.arg) + + # Process children. + if isinstance(node, ast.For): + children.append(traverse(node.target, node)) + children.append(traverse(node.iter, node)) + children.append(traverse_list(node.body, 'body', node)) + if node.orelse: + children.append(traverse_list(node.orelse, 'orelse', node)) + elif isinstance(node, ast.If) or isinstance(node, ast.While): + children.append(traverse(node.test, node)) + children.append(traverse_list(node.body, 'body', node)) + if node.orelse: + children.append(traverse_list(node.orelse, 'orelse', node)) + elif isinstance(node, ast.With): + for item in node.items: + children.append(traverse(item.context_expr, node)) + if item.optional_vars: + children.append(traverse(item.optional_vars, node)) + children.append(traverse_list(node.body, 'body', node)) + elif isinstance(node, ast.Try): + children.append(traverse_list(node.body, 'body', node)) + children.append(traverse_list(node.handlers, 'handlers', node)) + if node.orelse: + children.append(traverse_list(node.orelse, 'orelse', node)) + if node.finalbody: + children.append(traverse_list(node.finalbody, 'finalbody', node)) + elif isinstance(node, ast.arguments): + if node.args: + children.append(traverse_list(node.args, 'args', node)) + if node.defaults: + children.append(traverse_list(node.defaults, 'defaults', node)) + if node.vararg: + children.append(gen_identifier(node.vararg.arg, 'vararg', node)) + if node.kwarg: + children.append(gen_identifier(node.kwarg.arg, 'kwarg', node)) + if node.kwonlyargs: + children.append(traverse_list(node.kwonlyargs, 'kwonlyargs', node)) + if node.kw_defaults: + children.append(traverse_list(node.kw_defaults, 'kw_defaults', node)) + + elif isinstance(node, ast.ExceptHandler): + if node.type: + children.append(traverse(node.type)) + # if node.name: + # children.append(traverse(node.name)) + children.append(traverse_list(node.body, 'body', node)) + elif isinstance(node, ast.ClassDef): + children.append(traverse_list(node.bases, 'bases', node)) + children.append(traverse_list(node.body, 'body', node)) + children.append(traverse_list(node.decorator_list, 'decorator_list', node)) + elif isinstance(node, ast.FunctionDef): + children.append(traverse(node.args, node)) + children.append(traverse_list(node.body, 'body', node)) + if node.decorator_list: + children.append(traverse_list(node.decorator_list, 'decorator_list', node)) + else: + # Default handling: iterate over children. + for child in ast.iter_child_nodes(node): + if isinstance(child, ast.expr_context) or isinstance(child, ast.operator) or isinstance(child, + ast.boolop) or isinstance( + child, ast.unaryop) or isinstance(child, ast.cmpop): + # Directly include expr_context, and operators into the type instead of creating a child. + json_node['type'] = json_node['type'] + type(child).__name__ + else: + children.append(traverse(child, node)) + + if isinstance(node, ast.Attribute): + children.append(gen_identifier(node.attr, 'attribute', node)) + + if (len(children) != 0): + json_node['children'] = children + return pos + + traverse(tree) + + dfs_list = [] + parent_dfs = [] + for node in json_tree: + parent_dfs.append(node['parent']) + dfs_list.append(node['type']) + value = node.get('value', None) + if value: + dfs_list.append(value) + parent_dfs.append(node['type']) + + # df = pd.DataFrame([dfs_list, parent_dfs]) + # print(df.T) + + # pprint(json_tree) + + return dfs_list, parent_dfs + # return json_tree + From 262ed9d2c4d73a6664d45349028e463b4b2e0f29 Mon Sep 17 00:00:00 2001 From: faizan khan Date: Fri, 10 Apr 2020 18:20:08 -0400 Subject: [PATCH 04/11] resolve the indexing issue --- script/parent_node_pairs.py | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/script/parent_node_pairs.py b/script/parent_node_pairs.py index 31cbe743..50219a53 100644 --- a/script/parent_node_pairs.py +++ b/script/parent_node_pairs.py @@ -44,8 +44,8 @@ def convert_code_to_tokens(code): #[26045, 28475] - path = '../resources/data/python/final/jsonl/train_old/python_train_0.jsonl.gz' - s_path = '../resources/data/python/final/jsonl/train/python_train_0_dfs_parent.jsonl.gz' + path = '../resources/data/python/final/jsonl/train_old/temp_train_10.jsonl.gz' + s_path = '../resources/data/python/final/jsonl/train/temp_train_10_dfs_parent.jsonl.gz' a = RichPath.create(path) s = RichPath.create(s_path) @@ -54,10 +54,9 @@ def convert_code_to_tokens(code): b = list(a.read_as_jsonl()) b = sorted(b, key=lambda v: len(v['code_tokens'])) - templist = [] c = [] - for idx, sample in enumerate(b[10000:30000],10000): + for idx, sample in enumerate(b): print("sample {} in progress".format(idx)) # print(sample['code']) From 3c9373f27abce583f5efa9646e2a96ad7ec80b8e Mon Sep 17 00:00:00 2001 From: faizan khan Date: Mon, 13 Apr 2020 03:09:41 -0400 Subject: [PATCH 05/11] final self-attention with parent nodes --- script/parent_node_pairs.py | 4 +- src/encoders/masked_seq_encoder.py | 9 +- src/encoders/self_att_encoder.py | 20 ++- src/encoders/seq_encoder.py | 19 ++- src/encoders/utils/bert_self_attention.py | 192 ++++++++++++++++++++-- src/models/model.py | 13 +- src/models/self_att_model.py | 1 + src/train.py | 9 +- 8 files changed, 237 insertions(+), 30 deletions(-) diff --git a/script/parent_node_pairs.py b/script/parent_node_pairs.py index 50219a53..c2f99406 100644 --- a/script/parent_node_pairs.py +++ b/script/parent_node_pairs.py @@ -44,8 +44,8 @@ def convert_code_to_tokens(code): #[26045, 28475] - path = '../resources/data/python/final/jsonl/train_old/temp_train_10.jsonl.gz' - s_path = '../resources/data/python/final/jsonl/train/temp_train_10_dfs_parent.jsonl.gz' + path = '../resources/data/python/final/jsonl/valid_old/temp_valid_10.jsonl.gz' + s_path = '../resources/data/python/final/jsonl/valid/temp_valid_10_dfs_parent.jsonl.gz' a = RichPath.create(path) s = RichPath.create(s_path) diff --git a/src/encoders/masked_seq_encoder.py b/src/encoders/masked_seq_encoder.py index 0d696e6b..66f8e5e0 100755 --- a/src/encoders/masked_seq_encoder.py +++ b/src/encoders/masked_seq_encoder.py @@ -29,12 +29,19 @@ def _make_placeholders(self): shape=[None, self.get_hyper('max_num_tokens')], name='tokens_mask') - def init_minibatch(self, batch_data: Dict[str, Any]) -> None: + def init_minibatch(self, batch_data: Dict[str, Any], code=True) -> None: super().init_minibatch(batch_data) batch_data['tokens'] = [] batch_data['tokens_mask'] = [] + if self.hyperparameters['use_parent'] and code: + batch_data['parent_tokens'] = [] + batch_data['parent_tokens_mask'] = [] def minibatch_to_feed_dict(self, batch_data: Dict[str, Any], feed_dict: Dict[tf.Tensor, Any], is_train: bool) -> None: super().minibatch_to_feed_dict(batch_data, feed_dict, is_train) write_to_feed_dict(feed_dict, self.placeholders['tokens'], batch_data['tokens']) write_to_feed_dict(feed_dict, self.placeholders['tokens_mask'], batch_data['tokens_mask']) + + if self.hyperparameters['use_parent'] and batch_data.get('parent_tokens', None): + write_to_feed_dict(feed_dict, self.placeholders['parent_tokens'], batch_data['parent_tokens']) + write_to_feed_dict(feed_dict, self.placeholders['parent_tokens_mask'], batch_data['parent_tokens_mask']) diff --git a/src/encoders/self_att_encoder.py b/src/encoders/self_att_encoder.py index 363dc1b0..a8e1f062 100755 --- a/src/encoders/self_att_encoder.py +++ b/src/encoders/self_att_encoder.py @@ -15,7 +15,7 @@ def get_default_hyperparameters(cls) -> Dict[str, Any]: 'self_attention_intermediate_size': 512, 'self_attention_num_layers': 3, 'self_attention_num_heads': 8, - 'self_attention_pool_mode': 'weighted_mean', + 'self_attention_pool_mode': 'weighted_mean' } hypers = super().get_default_hyperparameters() hypers.update(encoder_hypers) @@ -32,6 +32,18 @@ def make_model(self, is_train: bool = False) -> tf.Tensor: with tf.variable_scope("self_attention_encoder"): self._make_placeholders() + if self.label == "code" and self.hyperparameters['use_parent']: + self.placeholders['parent_tokens'] = tf.placeholder(tf.int32, + shape=[None, self.get_hyper('max_num_tokens')], + name='parent_tokens') + + self.placeholders['parent_tokens_mask'] = tf.placeholder(tf.int32, + shape=[None, self.get_hyper('max_num_tokens')], + name='parent_tokens_mask') + else: + self.placeholders['parent_tokens'] = None + self.placeholders['parent_tokens_mask'] = None + config = BertConfig(vocab_size=self.get_hyper('token_vocab_size'), hidden_size=self.get_hyper('self_attention_hidden_size'), num_hidden_layers=self.get_hyper('self_attention_num_layers'), @@ -40,9 +52,11 @@ def make_model(self, is_train: bool = False) -> tf.Tensor: model = BertModel(config=config, is_training=is_train, - input_ids=self.placeholders['tokens'], + input_ids= self.placeholders['tokens'], input_mask=self.placeholders['tokens_mask'], - use_one_hot_embeddings=False) + use_one_hot_embeddings=False, + parent_ids=self.placeholders['parent_tokens'], + parent_mask=self.placeholders['parent_tokens_mask']) output_pool_mode = self.get_hyper('self_attention_pool_mode').lower() if output_pool_mode == 'bert': diff --git a/src/encoders/seq_encoder.py b/src/encoders/seq_encoder.py index 79f96e2c..b3db6661 100755 --- a/src/encoders/seq_encoder.py +++ b/src/encoders/seq_encoder.py @@ -128,7 +128,8 @@ def load_data_from_sample(cls, data_to_load: Any, function_name: Optional[str], result_holder: Dict[str, Any], - is_test: bool = True) -> bool: + is_test: bool = True, + parent_tokens=False) -> bool: """ Saves two versions of both the code and the query: one using the docstring as the query and the other using the function-name as the query, and replacing the function name in the code with an out-of-vocab token. @@ -168,6 +169,17 @@ def load_data_from_sample(cls, result_holder[f'{encoder_label}_tokens_mask_{key}'] = tokens_mask result_holder[f'{encoder_label}_tokens_length_{key}'] = int(np.sum(tokens_mask)) + if parent_tokens: + parent_tokens[0] = Vocabulary.get_unk() + tokens, tokens_mask = \ + convert_and_pad_token_sequence(metadata['token_vocab'], list(parent_tokens), + hyperparameters[f'{encoder_label}_max_num_tokens']) + # Note that we share the result_holder with different encoders, and so we need to make our identifiers + # unique-ish + result_holder[f'{encoder_label}_parent_tokens_{key}'] = tokens + result_holder[f'{encoder_label}_parent_tokens_mask_{key}'] = tokens_mask + result_holder[f'{encoder_label}_parent_tokens_length_{key}'] = int(np.sum(tokens_mask)) + if result_holder[f'{encoder_label}_tokens_mask_{QueryType.DOCSTRING.value}'] is None or \ int(np.sum(result_holder[f'{encoder_label}_tokens_mask_{QueryType.DOCSTRING.value}'])) == 0: return False @@ -187,6 +199,11 @@ def extend_minibatch_by_sample(self, batch_data: Dict[str, Any], sample: Dict[st current_sample['tokens_mask'] = sample[f'{self.label}_tokens_mask_{query_type}'] current_sample['tokens_lengths'] = sample[f'{self.label}_tokens_length_{query_type}'] + if self.label == 'code': + current_sample['parent_tokens'] = sample[f'{self.label}_parent_tokens_{query_type}'] + current_sample['parent_tokens_mask'] = sample[f'{self.label}_parent_tokens_mask_{query_type}'] + current_sample['parent_tokens_lengths'] = sample[f'{self.label}_parent_tokens_length_{query_type}'] + # In the query, randomly add high-frequency tokens: # TODO: Add tokens with frequency proportional to their frequency in the vocabulary if is_train and self.label == 'query' and self.hyperparameters['query_random_token_frequency'] > 0.: diff --git a/src/encoders/utils/bert_self_attention.py b/src/encoders/utils/bert_self_attention.py index 76918e95..4cbeb997 100755 --- a/src/encoders/utils/bert_self_attention.py +++ b/src/encoders/utils/bert_self_attention.py @@ -18,6 +18,9 @@ from __future__ import division from __future__ import print_function +import tensorflow.contrib.eager as tfe + + import collections import copy import json @@ -137,7 +140,9 @@ def __init__(self, token_type_ids=None, use_one_hot_embeddings=True, scope=None, - embedded_input=None): + embedded_input=None, + parent_ids=None, + parent_mask=None): """Constructor for BertModel. Args: @@ -160,6 +165,7 @@ def __init__(self, ValueError: The config is invalid or one of the input tensor shapes is invalid. """ + config = copy.deepcopy(config) if not is_training: config.hidden_dropout_prob = 0.0 @@ -179,6 +185,7 @@ def __init__(self, with tf.variable_scope("embeddings"): if embedded_input is None: # Perform embedding lookup on the word ids. + #returns a vector of B x SeqLength x hidden_size (self.embedding_output, self.embedding_table) = embedding_lookup( input_ids=input_ids, vocab_size=config.vocab_size, @@ -186,6 +193,7 @@ def __init__(self, initializer_range=config.initializer_range, word_embedding_name="word_embeddings", use_one_hot_embeddings=use_one_hot_embeddings) + else: self.embedding_output = embedded_input @@ -212,18 +220,65 @@ def __init__(self, # Run the stacked transformer. # `sequence_output` shape = [batch_size, seq_length, hidden_size]. - self.all_encoder_layers = transformer_model( - input_tensor=self.embedding_output, - attention_mask=attention_mask, - hidden_size=config.hidden_size, - num_hidden_layers=config.num_hidden_layers, - num_attention_heads=config.num_attention_heads, - intermediate_size=config.intermediate_size, - intermediate_act_fn=get_activation(config.hidden_act), - hidden_dropout_prob=config.hidden_dropout_prob, - attention_probs_dropout_prob=config.attention_probs_dropout_prob, - initializer_range=config.initializer_range, - do_return_all_layers=True) + + if parent_ids is not None: + + if parent_mask is None: + parent_mask = tf.ones(shape=[batch_size, seq_length], dtype=tf.int32) + + parent_attention_mask = create_attention_mask_from_input_mask( + parent_ids, parent_mask) + + + parent_embedding_output, parent_embedding_table = embedding_lookup( + input_ids=parent_ids, + vocab_size=config.vocab_size, + embedding_size=config.hidden_size, + initializer_range=config.initializer_range, + word_embedding_name="word_embeddings", + use_one_hot_embeddings=use_one_hot_embeddings) + + parent_embedding_output = embedding_postprocessor( + input_tensor=parent_embedding_output, + use_token_type=True, + token_type_ids=token_type_ids, + token_type_vocab_size=config.type_vocab_size, + token_type_embedding_name="token_type_embeddings", + use_position_embeddings=True, + position_embedding_name="position_embeddings", + initializer_range=config.initializer_range, + max_position_embeddings=config.max_position_embeddings, + dropout_prob=config.hidden_dropout_prob) + + + + self.all_encoder_layers = transformer_model( + input_tensor=self.embedding_output, + attention_mask=attention_mask, + hidden_size=config.hidden_size, + num_hidden_layers=config.num_hidden_layers, + num_attention_heads=config.num_attention_heads, + intermediate_size=config.intermediate_size, + intermediate_act_fn=get_activation(config.hidden_act), + hidden_dropout_prob=config.hidden_dropout_prob, + attention_probs_dropout_prob=config.attention_probs_dropout_prob, + initializer_range=config.initializer_range, + do_return_all_layers=True, + parent_tensor=parent_embedding_output, + parent_attention_mask=parent_attention_mask) + else: + self.all_encoder_layers = transformer_model( + input_tensor=self.embedding_output, + attention_mask=attention_mask, + hidden_size=config.hidden_size, + num_hidden_layers=config.num_hidden_layers, + num_attention_heads=config.num_attention_heads, + intermediate_size=config.intermediate_size, + intermediate_act_fn=get_activation(config.hidden_act), + hidden_dropout_prob=config.hidden_dropout_prob, + attention_probs_dropout_prob=config.attention_probs_dropout_prob, + initializer_range=config.initializer_range, + do_return_all_layers=True) self.sequence_output = self.all_encoder_layers[-1] # The "pooler" converts the encoded sequence tensor of shape @@ -519,7 +574,6 @@ def create_attention_mask_from_input_mask(from_tensor, to_mask): return mask - def attention_layer(from_tensor, to_tensor, attention_mask=None, @@ -686,7 +740,7 @@ def transpose_for_scores(input_tensor, batch_size, num_attention_heads, # This is actually dropping out entire tokens to attend to, which might # seem a bit unusual, but is taken from the original Transformer paper. - attention_probs = dropout(attention_probs, attention_probs_dropout_prob) + # attention_probs = dropout(attention_probs, attention_probs_dropout_prob) # `value_layer` = [B, T, N, H] value_layer = tf.reshape( @@ -726,7 +780,9 @@ def transformer_model(input_tensor, hidden_dropout_prob=0.1, attention_probs_dropout_prob=0.1, initializer_range=0.02, - do_return_all_layers=False): + do_return_all_layers=False, + parent_tensor=None, + parent_attention_mask=None): """Multi-headed, multi-layer Transformer from "Attention is All You Need". This is almost an exact implementation of the original Transformer encoder. @@ -786,6 +842,7 @@ def transformer_model(input_tensor, # the GPU/CPU but may not be free on the TPU, so we want to minimize them to # help the optimizer. prev_output = reshape_to_matrix(input_tensor) + old_attention_head = num_attention_heads all_layer_outputs = [] for layer_idx in range(num_hidden_layers): @@ -794,6 +851,37 @@ def transformer_model(input_tensor, with tf.variable_scope("attention"): attention_heads = [] + num_attention_heads = old_attention_head + if parent_tensor is not None: + with tf.variable_scope('parent'): + attention_head_size = int(hidden_size / num_attention_heads) + parent_shape = get_shape_list(parent_tensor, expected_rank=3) + parent_input_width = parent_shape[2] + + if parent_input_width != hidden_size: + raise ValueError("The width of the input tensor (%d) != hidden size (%d)" % + (parent_input_width, hidden_size)) + + parent_reshaped_tensor = reshape_to_matrix(parent_tensor) + + attention_head = attention_layer( + from_tensor=layer_input, + to_tensor=parent_reshaped_tensor, + attention_mask=parent_attention_mask, + num_attention_heads=1, + size_per_head=attention_head_size, + attention_probs_dropout_prob=attention_probs_dropout_prob, + initializer_range=initializer_range, + do_return_2d_tensor=True, + batch_size=batch_size, + from_seq_length=seq_length, + to_seq_length=seq_length) + + attention_heads.append(attention_head) + old_attention_head = num_attention_heads + num_attention_heads = num_attention_heads-1 + parent_tensor = None + with tf.variable_scope("self"): attention_head = attention_layer( from_tensor=layer_input, @@ -948,4 +1036,74 @@ def assert_rank(tensor, expected_rank, name=None): raise ValueError( "For the tensor `%s` in scope `%s`, the actual rank " "`%d` (shape = %s) is not equal to the expected rank `%s`" % - (name, scope_name, actual_rank, str(tensor.shape), str(expected_rank))) \ No newline at end of file + (name, scope_name, actual_rank, str(tensor.shape), str(expected_rank))) + + + + +if __name__=='__main__': + print('something') + + x = tf.placeholder(tf.float32, shape=[None, 4]) + y = tf.placeholder(tf.float32, shape=[None, 4]) + + # test = tf.layers.dense( + # x, + # 2 * 3, + # activation=None, + # kernel_initializer=create_initializer(0.02)) + + + from_tensor = x + to_tensor = y + context = attention_layer(from_tensor, to_tensor, num_attention_heads=1, size_per_head=4, batch_size=1, from_seq_length=2, to_seq_length=2) + # transformer = transformer_model(from_tensor, + # attention_mask=None, + # hidden_size=4, + # num_hidden_layers=1, + # num_attention_heads=1, + # intermediate_size=4, + # intermediate_act_fn=get_activation('gelu'), + # hidden_dropout_prob=0.1, + # attention_probs_dropout_prob=0.1, + # initializer_range=0.02, + # do_return_all_layers=False) + # + # input_ids = tf.constant([[31, 51, 99, 100], [15, 5, 0, 200]]) + # input_mask = tf.constant([[1, 1, 1, 1], [1, 1, 0, 1]]) + # token_type_ids = tf.constant([[0, 0, 1, 1], [0, 2, 0, 1]]) + + # config = BertConfig(vocab_size=4, hidden_size=1, + # num_hidden_layers=1, num_attention_heads=1, intermediate_size=4) + # + # model = BertModel(config=config, is_training=True, + # input_ids=input_ids, input_mask=input_mask, token_type_ids=token_type_ids) + # + # return_value = model.get_pooled_output() + + '''python + # Already been converted into WordPiece token ids + input_ids = tf.constant([[31, 51, 99], [15, 5, 0]]) + input_mask = tf.constant([[1, 1, 1], [1, 1, 0]]) + token_type_ids = tf.constant([[0, 0, 1], [0, 2, 0]]) + + config = modeling.BertConfig(vocab_size=32000, hidden_size=512, + num_hidden_layers=8, num_attention_heads=6, intermediate_size=1024) + + model = modeling.BertModel(config=config, is_training=True, + input_ids=input_ids, input_mask=input_mask, token_type_ids=token_type_ids) + + label_embeddings = tf.get_variable(...) + pooled_output = model.get_pooled_output() + logits = tf.matmul(pooled_output, label_embeddings)''' + + + sess = tf.InteractiveSession() + + tf.global_variables_initializer().run() + + # print(print('Loss(x,y) = {}'.format(sess.run([model], {x: [["t","2","a","a"], ["a","b","c","d"]]})))) + + print(print('Loss(x,y) = {}'.format(sess.run([context], {x:[[1,2,3,4], [11,12,13,19]], y:[[1,2,3,4], [11,12,13,19]]})))) + + print(print('Loss(x,y) = {}'.format(sess.run([context], {x:[[1,2,3,4], [11,12,13,19]], y:[[6,7,8,9], [20,21,22,23]]})))) \ No newline at end of file diff --git a/src/models/model.py b/src/models/model.py index 2420a19d..626fdef4 100755 --- a/src/models/model.py +++ b/src/models/model.py @@ -7,6 +7,7 @@ from collections import defaultdict, OrderedDict from enum import Enum, auto from typing import List, Dict, Any, Iterable, Tuple, Optional, Union, Callable, Type, DefaultDict +from tensorflow.python import debug as tf_debug import numpy as np import wandb @@ -19,7 +20,7 @@ LoadedSamples = Dict[str, List[Dict[str, Any]]] SampleId = Tuple[str, int] - +from pprint import pprint class RepresentationType(Enum): CODE = auto() @@ -62,7 +63,8 @@ def parse_data_file(hyperparameters: Dict[str, Any], raw_sample['code_tokens'], function_name, sample, - is_test) + is_test, + raw_sample['parent_dfs']) use_query_flag = query_encoder_class.load_data_from_sample("query", hyperparameters, @@ -71,6 +73,7 @@ def parse_data_file(hyperparameters: Dict[str, Any], function_name, sample, is_test) + use_example = use_code_flag and use_query_flag results[language].append((use_example, sample)) return results @@ -152,7 +155,7 @@ def __init__(self, graph = tf.Graph() self.__sess = tf.Session(graph=graph, config=config) - + # save directory as tensorboard. self.__tensorboard_dir = log_save_dir @@ -505,7 +508,7 @@ def __init_minibatch(self) -> Dict[str, Any]: for (language, language_encoder) in self.__code_encoders.items(): batch_data['per_language_query_data'][language] = {} batch_data['per_language_query_data'][language]['query_sample_ids'] = [] - self.__query_encoder.init_minibatch(batch_data['per_language_query_data'][language]) + self.__query_encoder.init_minibatch(batch_data['per_language_query_data'][language], code=False) batch_data['per_language_code_data'][language] = {} batch_data['per_language_code_data'][language]['code_sample_ids'] = [] language_encoder.init_minibatch(batch_data['per_language_code_data'][language]) @@ -723,6 +726,8 @@ def __run_epoch_in_batches(self, data: LoadedSamples, epoch_name: str, is_train: ops_to_run = {'loss': self.__ops['loss'], 'mrr': self.__ops['mrr']} if is_train: ops_to_run['train_step'] = self.__ops['train_step'] + + # print(batch_data_dict) op_results = self.__sess.run(ops_to_run, feed_dict=batch_data_dict) assert not np.isnan(op_results['loss']) diff --git a/src/models/self_att_model.py b/src/models/self_att_model.py index c47fa200..269b7cd3 100755 --- a/src/models/self_att_model.py +++ b/src/models/self_att_model.py @@ -16,6 +16,7 @@ def get_default_hyperparameters(cls) -> Dict[str, Any]: 'code_use_subtokens': False, 'code_mark_subtoken_end': False, 'batch_size': 450, + 'use_parent': True } hypers.update(super().get_default_hyperparameters()) hypers.update(model_hypers) diff --git a/src/train.py b/src/train.py index f0eeaba6..d1d13cb3 100755 --- a/src/train.py +++ b/src/train.py @@ -134,6 +134,10 @@ def run(arguments, tag_in_vcs=False) -> None: batch_size = arguments.get('--batch-size') if batch_size: hyperparameters['batch_size'] = int(batch_size) + use_parent = arguments.get('--use-parent') + if not use_parent: + hyperparameters['use_parent'] = bool(use_parent) + # hyperparameters['code_use_bpe'] = False # hyperparameters['query_use_bpe'] = False @@ -201,9 +205,10 @@ def run(arguments, tag_in_vcs=False) -> None: args = docopt(__doc__) args['--model'] = 'selfatt' args['--dryrun'] = True - # args['--testrun'] = True + # args['--testrun'] = False args['--sequential'] = True - args['--max_epoch'] = 20 + args['--max_num_epochs'] = 2 + # args['--use-parent'] = False args['--batch-size'] = 2 # run_and_debug(lambda: run(args), args['--debug']) From 00e2e67cb11449e8fc0d9b6934b830a37b7f1672 Mon Sep 17 00:00:00 2001 From: faizan khan Date: Mon, 13 Apr 2020 03:30:37 -0400 Subject: [PATCH 06/11] using parent node connection --- src/encoders/self_att_encoder.py | 1 + 1 file changed, 1 insertion(+) diff --git a/src/encoders/self_att_encoder.py b/src/encoders/self_att_encoder.py index a8e1f062..338742ce 100755 --- a/src/encoders/self_att_encoder.py +++ b/src/encoders/self_att_encoder.py @@ -33,6 +33,7 @@ def make_model(self, is_train: bool = False) -> tf.Tensor: self._make_placeholders() if self.label == "code" and self.hyperparameters['use_parent']: + print("USING PARENT NODE CONNECTIONS") self.placeholders['parent_tokens'] = tf.placeholder(tf.int32, shape=[None, self.get_hyper('max_num_tokens')], name='parent_tokens') From 396cee8836adbaa92b8f455d804a8d8968dcae0a Mon Sep 17 00:00:00 2001 From: Faizan KHAN Date: Mon, 13 Apr 2020 05:19:05 -0400 Subject: [PATCH 07/11] resolve script issues, seq=encode, update requiremts --- script/parent_node_pairs.py | 8 ++++---- src/encoders/seq_encoder.py | 2 +- src/gpurequirements.tx | 1 + 3 files changed, 6 insertions(+), 5 deletions(-) diff --git a/script/parent_node_pairs.py b/script/parent_node_pairs.py index c2f99406..96e447d0 100644 --- a/script/parent_node_pairs.py +++ b/script/parent_node_pairs.py @@ -4,7 +4,7 @@ from src.utils.codegen import * import subprocess -from parent_node_parse_helpers import dfs_traversal_with_parents +from .parent_node_parse_helpers import dfs_traversal_with_parents import pandas as pd import os @@ -44,8 +44,8 @@ def convert_code_to_tokens(code): #[26045, 28475] - path = '../resources/data/python/final/jsonl/valid_old/temp_valid_10.jsonl.gz' - s_path = '../resources/data/python/final/jsonl/valid/temp_valid_10_dfs_parent.jsonl.gz' + path = 'resources/data/python/final/jsonl/old_train/python_train_0.jsonl.gz' + s_path = 'resources/data/python/final/jsonl/train/python_train_0_dfs_parent.jsonl.gz' a = RichPath.create(path) s = RichPath.create(s_path) @@ -112,4 +112,4 @@ def convert_code_to_tokens(code): # result_tree = parse_file_with_parents(code) # # # # # print(pd.read_json(result_tree)) - # pprint(result_tree) \ No newline at end of file + # pprint(result_tree) diff --git a/src/encoders/seq_encoder.py b/src/encoders/seq_encoder.py index b3db6661..576721da 100755 --- a/src/encoders/seq_encoder.py +++ b/src/encoders/seq_encoder.py @@ -170,7 +170,7 @@ def load_data_from_sample(cls, result_holder[f'{encoder_label}_tokens_length_{key}'] = int(np.sum(tokens_mask)) if parent_tokens: - parent_tokens[0] = Vocabulary.get_unk() + parent_tokens = [Vocabulary.get_unk() if token==None else token for token in parent_tokens] tokens, tokens_mask = \ convert_and_pad_token_sequence(metadata['token_vocab'], list(parent_tokens), hyperparameters[f'{encoder_label}_max_num_tokens']) diff --git a/src/gpurequirements.tx b/src/gpurequirements.tx index 8b19cbd1..b056805e 100644 --- a/src/gpurequirements.tx +++ b/src/gpurequirements.tx @@ -1,3 +1,4 @@ +2to3==1.0 absl-py==0.9.0 altair==3.2.0 annoy==1.16.0 From a160cdd2cb0880abb6425b723d94538056edc5a5 Mon Sep 17 00:00:00 2001 From: faizan khan Date: Mon, 13 Apr 2020 15:18:33 -0400 Subject: [PATCH 08/11] resolve the none issue --- script/parent_node_pairs.py | 4 ++-- src/encoders/seq_encoder.py | 2 +- src/train.py | 6 +++--- 3 files changed, 6 insertions(+), 6 deletions(-) diff --git a/script/parent_node_pairs.py b/script/parent_node_pairs.py index c2f99406..a0a39eba 100644 --- a/script/parent_node_pairs.py +++ b/script/parent_node_pairs.py @@ -44,8 +44,8 @@ def convert_code_to_tokens(code): #[26045, 28475] - path = '../resources/data/python/final/jsonl/valid_old/temp_valid_10.jsonl.gz' - s_path = '../resources/data/python/final/jsonl/valid/temp_valid_10_dfs_parent.jsonl.gz' + path = '../resources/data/python/final/jsonl/train_old/python_train_0.jsonl.gz' + s_path = '../resources/data/python/final/jsonl/train/python_train_0_parent_dfs.jsonl.gz' a = RichPath.create(path) s = RichPath.create(s_path) diff --git a/src/encoders/seq_encoder.py b/src/encoders/seq_encoder.py index b3db6661..576721da 100755 --- a/src/encoders/seq_encoder.py +++ b/src/encoders/seq_encoder.py @@ -170,7 +170,7 @@ def load_data_from_sample(cls, result_holder[f'{encoder_label}_tokens_length_{key}'] = int(np.sum(tokens_mask)) if parent_tokens: - parent_tokens[0] = Vocabulary.get_unk() + parent_tokens = [Vocabulary.get_unk() if token==None else token for token in parent_tokens] tokens, tokens_mask = \ convert_and_pad_token_sequence(metadata['token_vocab'], list(parent_tokens), hyperparameters[f'{encoder_label}_max_num_tokens']) diff --git a/src/train.py b/src/train.py index d1d13cb3..f213617e 100755 --- a/src/train.py +++ b/src/train.py @@ -134,9 +134,9 @@ def run(arguments, tag_in_vcs=False) -> None: batch_size = arguments.get('--batch-size') if batch_size: hyperparameters['batch_size'] = int(batch_size) - use_parent = arguments.get('--use-parent') - if not use_parent: - hyperparameters['use_parent'] = bool(use_parent) + # use_parent = arguments.get('--use-parent') + # if not use_parent: + # hyperparameters['use_parent'] = bool(use_parent) # hyperparameters['code_use_bpe'] = False # hyperparameters['query_use_bpe'] = False From 1f86dc0425f90c8ec738a44e231ad6247f700863 Mon Sep 17 00:00:00 2001 From: faizan khan Date: Mon, 13 Apr 2020 20:24:13 -0400 Subject: [PATCH 09/11] add parent attention to immediate parent only --- src/encoders/utils/bert_self_attention.py | 25 +++++++++++++++++++++++ 1 file changed, 25 insertions(+) diff --git a/src/encoders/utils/bert_self_attention.py b/src/encoders/utils/bert_self_attention.py index 4cbeb997..ecbbb066 100755 --- a/src/encoders/utils/bert_self_attention.py +++ b/src/encoders/utils/bert_self_attention.py @@ -229,6 +229,10 @@ def __init__(self, parent_attention_mask = create_attention_mask_from_input_mask( parent_ids, parent_mask) + identity = tf.eye(seq_length) + identity = tf.reshape(identity, [1, seq_length, seq_length]) + + parent_attention_mask = tf.tile(identity, [batch_size,1,1]) parent_embedding_output, parent_embedding_table = embedding_lookup( input_ids=parent_ids, @@ -718,10 +722,20 @@ def transpose_for_scores(input_tensor, batch_size, num_attention_heads, # attention scores. # `attention_scores` = [B, N, F, T] attention_scores = tf.matmul(query_layer, key_layer, transpose_b=True) + # if num_attention_heads == 1: + # attention_scores = tf.Print(attention_scores, [attention_scores[0][0][i] for i in range(10)], + # "ATTENTION MASK: unscaled attention scores\n", summarize=10) + # query_layer = tf.Print(query_layer, [query_layer[0][0][i] for i in range(10)], + # "ATTENTION MASK: query\n", summarize=10) + # key_layer = tf.Print(key_layer, [key_layer[0][0][i] for i in range(10)], + # "ATTENTION MASK: key\n", summarize=10) attention_scores = tf.multiply(attention_scores, 1.0 / math.sqrt(float(size_per_head))) if attention_mask is not None: + # if num_attention_heads==1: + # attention_mask = tf.Print(attention_mask, [attention_mask[0][i] for i in range(10)], "ATTENTION MASK: original_attention_masks\n", summarize=10) + # `attention_mask` = [B, 1, F, T] attention_mask = tf.expand_dims(attention_mask, axis=[1]) @@ -730,14 +744,25 @@ def transpose_for_scores(input_tensor, batch_size, num_attention_heads, # positions we want to attend and -10000.0 for masked positions. adder = (1.0 - tf.cast(attention_mask, tf.float32)) * -10000.0 + # if num_attention_heads==1: + # adder = tf.Print(adder, [adder[0][0][i] for i in range(10)], "ATTENTION MASK: adders\n", summarize=10) + # attention_scores = tf.Print(attention_scores, [attention_scores[0][0][i] for i in range(10)], "ATTENTION MASK: raw attention_scores\n", summarize=10) + # Since we are adding it to the raw scores before the softmax, this is # effectively the same as removing these entirely. attention_scores += adder + # if num_attention_heads==1: + # attention_scores = tf.Print(attention_scores, [attention_scores[0][0][i] for i in range(10)], "ATTENTION MASK: added attention_scores\n", summarize=10) # Normalize the attention scores to probabilities. # `attention_probs` = [B, N, F, T] attention_probs = tf.nn.softmax(attention_scores) + # if num_attention_heads == 1: + # attention_probs = tf.Print(attention_probs, [attention_probs[0][0][i] for i in range(10)], "ATTENTION MASK:parent attention probs\n", summarize=10) + # else: + # attention_probs = tf.Print(attention_probs, [attention_probs[0][0][i] for i in range(10)], + # "ATTENTION MASK: normal attention probs\n", summarize=10) # This is actually dropping out entire tokens to attend to, which might # seem a bit unusual, but is taken from the original Transformer paper. # attention_probs = dropout(attention_probs, attention_probs_dropout_prob) From ba3be25c3b0a9926900dd053a6d59b8d5cbb7e36 Mon Sep 17 00:00:00 2001 From: Eunbee Jang Date: Mon, 20 Apr 2020 00:01:01 -0400 Subject: [PATCH 10/11] slurm output --- src/data_dirs_test.txt | 7 +- src/data_dirs_train.txt | 7 +- src/data_dirs_valid.txt | 7 +- src/job.sh | 15 +++ src/slurm-411758.out | 40 +++++++ src/slurm-412343.out | 40 +++++++ src/slurm-413761.out | 235 ++++++++++++++++++++++++++++++++++++++++ 7 files changed, 333 insertions(+), 18 deletions(-) create mode 100644 src/job.sh create mode 100644 src/slurm-411758.out create mode 100644 src/slurm-412343.out create mode 100644 src/slurm-413761.out diff --git a/src/data_dirs_test.txt b/src/data_dirs_test.txt index d5a4f530..3d8e6576 100644 --- a/src/data_dirs_test.txt +++ b/src/data_dirs_test.txt @@ -1,6 +1 @@ -../resources/data/python/final/jsonl/test -../resources/data/javascript/final/jsonl/test -../resources/data/java/final/jsonl/test -../resources/data/php/final/jsonl/test -../resources/data/ruby/final/jsonl/test -../resources/data/go/final/jsonl/test \ No newline at end of file +../resources/data/python/final/jsonl/dfs_informed/test diff --git a/src/data_dirs_train.txt b/src/data_dirs_train.txt index 28827543..5a844076 100644 --- a/src/data_dirs_train.txt +++ b/src/data_dirs_train.txt @@ -1,6 +1 @@ -../resources/data/python/final/jsonl/train -../resources/data/javascript/final/jsonl/train -../resources/data/java/final/jsonl/train -../resources/data/php/final/jsonl/train -../resources/data/ruby/final/jsonl/train -../resources/data/go/final/jsonl/train \ No newline at end of file +../resources/data/python/final/jsonl/dfs_informed/train diff --git a/src/data_dirs_valid.txt b/src/data_dirs_valid.txt index 949e70a3..dc8a11ac 100644 --- a/src/data_dirs_valid.txt +++ b/src/data_dirs_valid.txt @@ -1,6 +1 @@ -../resources/data/python/final/jsonl/valid -../resources/data/javascript/final/jsonl/valid -../resources/data/java/final/jsonl/valid -../resources/data/php/final/jsonl/valid -../resources/data/ruby/final/jsonl/valid -../resources/data/go/final/jsonl/valid \ No newline at end of file +../resources/data/python/final/jsonl/dfs_informed/valid diff --git a/src/job.sh b/src/job.sh new file mode 100644 index 00000000..7424f4c8 --- /dev/null +++ b/src/job.sh @@ -0,0 +1,15 @@ +#!/bin/bash + + +#SBATCH --partition=unkillable +#SBATCH --cpus-per-task=8 +#SBATCH --gres=gpu:v100-32gb:2 +#SBATCH --mem=32G +#SBATCH --time=96:00:00 +#SBATCH -o /network/home/jangeunb/CodeSearchNet/src/slurm-%j.out + +module load python/3.7 + +pip install -r requirements.txt + +python train.py --model SelfAttentionModel diff --git a/src/slurm-411758.out b/src/slurm-411758.out new file mode 100644 index 00000000..91a40056 --- /dev/null +++ b/src/slurm-411758.out @@ -0,0 +1,40 @@ + +======== GPU REPORT ======== + +==============NVSMI LOG============== + +Timestamp : Fri Apr 17 22:38:56 2020 +Driver Version : 418.116.00 +CUDA Version : 10.1 + +Attached GPUs : 2 +GPU 00000000:0A:00.0 + Accounting Mode : Enabled + Accounting Mode Buffer Size : 4000 + Accounted Processes : None + +GPU 00000000:0B:00.0 + Accounting Mode : Enabled + Accounting Mode Buffer Size : 4000 + Accounted Processes : None + +Fri Apr 17 22:38:56 2020 ++-----------------------------------------------------------------------------+ +| NVIDIA-SMI 418.116.00 Driver Version: 418.116.00 CUDA Version: 10.1 | +|-------------------------------+----------------------+----------------------+ +| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | +| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | +|===============================+======================+======================| +| 0 Tesla V100-SXM2... On | 00000000:0A:00.0 Off | 0 | +| N/A 29C P0 41W / 163W | 0MiB / 32480MiB | 0% Default | ++-------------------------------+----------------------+----------------------+ +| 1 Tesla V100-SXM2... On | 00000000:0B:00.0 Off | 0 | +| N/A 28C P0 40W / 163W | 0MiB / 32480MiB | 0% Default | ++-------------------------------+----------------------+----------------------+ + ++-----------------------------------------------------------------------------+ +| Processes: GPU Memory | +| GPU PID Type Process name Usage | +|=============================================================================| +| No running processes found | ++-----------------------------------------------------------------------------+ diff --git a/src/slurm-412343.out b/src/slurm-412343.out new file mode 100644 index 00000000..752e3ef6 --- /dev/null +++ b/src/slurm-412343.out @@ -0,0 +1,40 @@ + +======== GPU REPORT ======== + +==============NVSMI LOG============== + +Timestamp : Fri Apr 17 22:39:18 2020 +Driver Version : 418.116.00 +CUDA Version : 10.1 + +Attached GPUs : 2 +GPU 00000000:86:00.0 + Accounting Mode : Enabled + Accounting Mode Buffer Size : 4000 + Accounted Processes : None + +GPU 00000000:89:00.0 + Accounting Mode : Enabled + Accounting Mode Buffer Size : 4000 + Accounted Processes : None + +Fri Apr 17 22:39:18 2020 ++-----------------------------------------------------------------------------+ +| NVIDIA-SMI 418.116.00 Driver Version: 418.116.00 CUDA Version: 10.1 | +|-------------------------------+----------------------+----------------------+ +| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | +| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | +|===============================+======================+======================| +| 0 Tesla V100-SXM2... On | 00000000:86:00.0 Off | 0 | +| N/A 30C P0 41W / 163W | 0MiB / 32480MiB | 0% Default | ++-------------------------------+----------------------+----------------------+ +| 1 Tesla V100-SXM2... On | 00000000:89:00.0 Off | 0 | +| N/A 37C P0 43W / 163W | 0MiB / 32480MiB | 0% Default | ++-------------------------------+----------------------+----------------------+ + ++-----------------------------------------------------------------------------+ +| Processes: GPU Memory | +| GPU PID Type Process name Usage | +|=============================================================================| +| No running processes found | ++-----------------------------------------------------------------------------+ diff --git a/src/slurm-413761.out b/src/slurm-413761.out new file mode 100644 index 00000000..b204b71e --- /dev/null +++ b/src/slurm-413761.out @@ -0,0 +1,235 @@ +[=== Module python/3.7 loaded ===] +Defaulting to user installation because normal site-packages is not writeable +Requirement already satisfied: docopt in /network/home/jangeunb/.local/lib/python3.7/site-packages (from -r requirements.txt (line 1)) (0.6.2) +Requirement already satisfied: dpu_utils in /network/home/jangeunb/.local/lib/python3.7/site-packages (from -r requirements.txt (line 2)) (0.2.11) +Requirement already satisfied: more-itertools in /network/home/jangeunb/.local/lib/python3.7/site-packages (from -r requirements.txt (line 3)) (8.2.0) +Requirement already satisfied: numpy in /network/home/jangeunb/.local/lib/python3.7/site-packages (from -r requirements.txt (line 4)) (1.18.2) +Requirement already satisfied: scipy in /network/home/jangeunb/.local/lib/python3.7/site-packages (from -r requirements.txt (line 5)) (1.4.1) +Requirement already satisfied: SetSimilaritySearch in /network/home/jangeunb/.local/lib/python3.7/site-packages (from -r requirements.txt (line 6)) (0.1.7) +Requirement already satisfied: wandb in /network/home/jangeunb/.local/lib/python3.7/site-packages (from -r requirements.txt (line 7)) (0.8.31) +Requirement already satisfied: pygments in /network/home/jangeunb/.local/lib/python3.7/site-packages (from -r requirements.txt (line 8)) (2.6.1) +Requirement already satisfied: parso in /network/home/jangeunb/.local/lib/python3.7/site-packages (from -r requirements.txt (line 9)) (0.6.2) +Requirement already satisfied: pandas in /network/home/jangeunb/.local/lib/python3.7/site-packages (from -r requirements.txt (line 10)) (1.0.3) +Requirement already satisfied: toolz in /network/home/jangeunb/.local/lib/python3.7/site-packages (from -r requirements.txt (line 11)) (0.10.0) +Requirement already satisfied: azure-storage in /network/home/jangeunb/.local/lib/python3.7/site-packages (from dpu_utils->-r requirements.txt (line 2)) (0.36.0) +Requirement already satisfied: tqdm in /network/home/jangeunb/.local/lib/python3.7/site-packages (from dpu_utils->-r requirements.txt (line 2)) (4.45.0) +Requirement already satisfied: shortuuid>=0.5.0 in /network/home/jangeunb/.local/lib/python3.7/site-packages (from wandb->-r requirements.txt (line 7)) (1.0.1) +Requirement already satisfied: configparser>=3.8.1 in /network/home/jangeunb/.local/lib/python3.7/site-packages (from wandb->-r requirements.txt (line 7)) (5.0.0) +Requirement already satisfied: GitPython>=1.0.0 in /network/home/jangeunb/.local/lib/python3.7/site-packages (from wandb->-r requirements.txt (line 7)) (3.1.0) +Requirement already satisfied: six>=1.10.0 in /cvmfs/ai.mila.quebec/apps/x86_64/debian/python/3.7/lib/python3.7/site-packages (from wandb->-r requirements.txt (line 7)) (1.14.0) +Requirement already satisfied: python-dateutil>=2.6.1 in /network/home/jangeunb/.local/lib/python3.7/site-packages (from wandb->-r requirements.txt (line 7)) (2.8.1) +Requirement already satisfied: nvidia-ml-py3>=7.352.0 in /network/home/jangeunb/.local/lib/python3.7/site-packages (from wandb->-r requirements.txt (line 7)) (7.352.0) +Requirement already satisfied: subprocess32>=3.5.3 in /network/home/jangeunb/.local/lib/python3.7/site-packages (from wandb->-r requirements.txt (line 7)) (3.5.4) +Requirement already satisfied: requests>=2.0.0 in 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satisfied: gitdb<5,>=4.0.1 in /network/home/jangeunb/.local/lib/python3.7/site-packages (from GitPython>=1.0.0->wandb->-r requirements.txt (line 7)) (4.0.2) +Requirement already satisfied: certifi>=2017.4.17 in /network/home/jangeunb/.local/lib/python3.7/site-packages (from requests>=2.0.0->wandb->-r requirements.txt (line 7)) (2019.11.28) +Requirement already satisfied: chardet<4,>=3.0.2 in /network/home/jangeunb/.local/lib/python3.7/site-packages (from requests>=2.0.0->wandb->-r requirements.txt (line 7)) (3.0.4) +Requirement already satisfied: idna<3,>=2.5 in /network/home/jangeunb/.local/lib/python3.7/site-packages (from requests>=2.0.0->wandb->-r requirements.txt (line 7)) (2.9) +Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /network/home/jangeunb/.local/lib/python3.7/site-packages (from requests>=2.0.0->wandb->-r requirements.txt (line 7)) (1.25.8) +Requirement already satisfied: graphql-core<2,>=0.5.0 in 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cffi!=1.11.3,>=1.8->cryptography->azure-storage->dpu_utils->-r requirements.txt (line 2)) (2.20) +/network/home/jangeunb/.local/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:526: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. + _np_qint8 = np.dtype([("qint8", np.int8, 1)]) +/network/home/jangeunb/.local/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:527: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. + _np_quint8 = np.dtype([("quint8", np.uint8, 1)]) +/network/home/jangeunb/.local/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:528: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. + _np_qint16 = np.dtype([("qint16", np.int16, 1)]) +/network/home/jangeunb/.local/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:529: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. + _np_quint16 = np.dtype([("quint16", np.uint16, 1)]) +/network/home/jangeunb/.local/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:530: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. + _np_qint32 = np.dtype([("qint32", np.int32, 1)]) +/network/home/jangeunb/.local/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:535: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. + np_resource = np.dtype([("resource", np.ubyte, 1)]) +wandb: W&B is a tool that helps track and visualize machine learning experiments +wandb: No credentials found. Run "wandb login" to visualize your metrics +wandb: Tracking run with wandb version 0.8.31 +wandb: Wandb version 0.8.32 is available! To upgrade, please run: +wandb: $ pip install wandb --upgrade +wandb: Run data is saved locally in wandb/run-20200418_023910-1isoz8sd + +2020-04-17 22:39:11.804904: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA +2020-04-17 22:39:11.835878: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2194880000 Hz +2020-04-17 22:39:11.836507: I tensorflow/compiler/xla/service/service.cc:150] XLA service 0x55d26f9cd760 executing computations on platform Host. Devices: +2020-04-17 22:39:11.836529: I tensorflow/compiler/xla/service/service.cc:158] StreamExecutor device (0): , +Tokenizing and building vocabulary for code snippets and queries. This step may take several hours. +WARNING:tensorflow:From /network/home/jangeunb/.local/lib/python3.7/site-packages/tensorflow/python/framework/op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version. +Instructions for updating: +Colocations handled automatically by placer. +WARNING:tensorflow:From /network/home/jangeunb/CodeSearchNet/src/encoders/utils/bert_self_attention.py:374: calling dropout (from tensorflow.python.ops.nn_ops) with keep_prob is deprecated and will be removed in a future version. +Instructions for updating: +Please use `rate` instead of `keep_prob`. Rate should be set to `rate = 1 - keep_prob`. +WARNING:tensorflow:From /network/home/jangeunb/CodeSearchNet/src/encoders/utils/bert_self_attention.py:694: dense (from tensorflow.python.layers.core) is deprecated and will be removed in a future version. +Instructions for updating: +Use keras.layers.dense instead. +WARNING:tensorflow:From /network/home/jangeunb/CodeSearchNet/src/models/model.py:362: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version. +Instructions for updating: +Use tf.cast instead. +WARNING:tensorflow:From /network/home/jangeunb/.local/lib/python3.7/site-packages/tensorflow/python/ops/math_ops.py:3066: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version. +Instructions for updating: +Use tf.cast instead. +USING PARENT NODE CONNECTIONS +Starting training run SelfAttentionModel-2020-04-17-22-39-10 of model SelfAttentionModel with following hypers: +{'code_token_vocab_size': 10000, 'code_token_vocab_count_threshold': 10, 'code_token_embedding_size': 128, 'code_use_subtokens': False, 'code_mark_subtoken_end': False, 'code_max_num_tokens': 200, 'code_use_bpe': True, 'code_pct_bpe': 0.5, 'code_self_attention_activation': 'gelu', 'code_self_attention_hidden_size': 128, 'code_self_attention_intermediate_size': 512, 'code_self_attention_num_layers': 3, 'code_self_attention_num_heads': 8, 'code_self_attention_pool_mode': 'weighted_mean', 'query_token_vocab_size': 10000, 'query_token_vocab_count_threshold': 10, 'query_token_embedding_size': 128, 'query_use_subtokens': False, 'query_mark_subtoken_end': False, 'query_max_num_tokens': 30, 'query_use_bpe': True, 'query_pct_bpe': 0.5, 'query_self_attention_activation': 'gelu', 'query_self_attention_hidden_size': 128, 'query_self_attention_intermediate_size': 512, 'query_self_attention_num_layers': 3, 'query_self_attention_num_heads': 8, 'query_self_attention_pool_mode': 'weighted_mean', 'batch_size': 450, 'optimizer': 'Adam', 'seed': 0, 'dropout_keep_rate': 0.9, 'learning_rate': 0.0005, 'learning_rate_code_scale_factor': 1.0, 'learning_rate_query_scale_factor': 1.0, 'learning_rate_decay': 0.98, 'momentum': 0.85, 'gradient_clip': 1, 'loss': 'softmax', 'margin': 1, 'max_epochs': 300, 'patience': 5, 'fraction_using_func_name': 0.1, 'min_len_func_name_for_query': 12, 'query_random_token_frequency': 0.0, 'use_parent': True} +Loading training and validation data. +Begin Training. +Training on 411878 python samples. +Validating on 23075 python samples. +==== Epoch 0 ==== +0 (train): Batch 0 (has 450 samples). 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MRR so far: 0.5704  Epoch 0 (train) took 8909.86s [processed 46 samples/second] + Training Loss: 2.548560 +0 (valid): Batch 0 (has 450 samples). Processed 0 samples. Loss so far: 0.0000. MRR so far: 0.0000 0 (valid): Batch 1 (has 450 samples). Processed 450 samples. Loss so far: 3.0617. MRR so far: 0.4693 0 (valid): Batch 2 (has 450 samples). Processed 900 samples. Loss so far: 2.8663. MRR so far: 0.5046 0 (valid): Batch 3 (has 450 samples). Processed 1350 samples. Loss so far: 2.8029. MRR so far: 0.5181 0 (valid): Batch 4 (has 450 samples). Processed 1800 samples. Loss so far: 2.7522. MRR so far: 0.5263 0 (valid): Batch 5 (has 450 samples). Processed 2250 samples. Loss so far: 2.7047. MRR so far: 0.5383 0 (valid): Batch 6 (has 450 samples). Processed 2700 samples. Loss so far: 2.6465. MRR so far: 0.5507 0 (valid): Batch 7 (has 450 samples). Processed 3150 samples. Loss so far: 2.5978. MRR so far: 0.5580 0 (valid): Batch 8 (has 450 samples). Processed 3600 samples. 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Processed 20700 samples. Loss so far: 2.0737. MRR so far: 0.6581 0 (valid): Batch 47 (has 450 samples). Processed 21150 samples. Loss so far: 2.0709. MRR so far: 0.6585 0 (valid): Batch 48 (has 450 samples). Processed 21600 samples. Loss so far: 2.0748. MRR so far: 0.6578 0 (valid): Batch 49 (has 450 samples). Processed 22050 samples. Loss so far: 2.0756. MRR so far: 0.6579 0 (valid): Batch 50 (has 450 samples). Processed 22500 samples. Loss so far: 2.0761. MRR so far: 0.6575  Epoch 0 (valid) took 193.98s [processed 118 samples/second] + Validation: Loss: 2.074373 | MRR: 0.657938 + Best result so far -- saved model as '/network/home/jangeunb/CodeSearchNet/resources/saved_models/SelfAttentionModel-2020-04-17-22-39-10_model_best.pkl.gz'. +==== Epoch 1 ==== +1 (train): Batch 0 (has 450 samples). Processed 0 samples. Loss so far: 0.0000. MRR so far: 0.0000 1 (train): Batch 1 (has 450 samples). Processed 450 samples. Loss so far: 0.9970. 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MRR so far: 0.8335 1 (train): Batch 610 (has 450 samples). Processed 274500 samples. Loss so far: 0.9868. MRR so far: 0.8335 1 (train): Batch 611 (has 450 samples). Processed 274950 samples. Loss so far: 0.9868. MRR so far: 0.8335 1 (train): Batch 612 (has 450 samples). Processed 275400 samples. Loss so far: 0.9869. MRR so far: 0.8335 1 (train): Batch 613 (has 450 samples). Processed 275850 samples. Loss so far: 0.9865. MRR so far: 0.8336 1 (train): Batch 614 (has 450 samples). Processed 276300 samples. Loss so far: 0.9863. MRR so far: 0.8336 1 (train): Batch 615 (has 450 samples). Processed 276750 samples. Loss so far: 0.9863. MRR so far: 0.8336 1 (train): Batch 616 (has 450 samples). Processed 277200 samples. Loss so far: 0.9864. MRR so far: 0.8336 1 (train): Batch 617 (has 450 samples). Processed 277650 samples. Loss so far: 0.9867. MRR so far: 0.8335 1 (train): Batch 618 (has 450 samples). Processed 278100 samples. Loss so far: 0.9865. MRR so far: 0.8335 1 (train): Batch 619 (has 450 samples). Processed 278550 samples. Loss so far: 0.9865. MRR so far: 0.8335 1 (train): Batch 620 (has 450 samples). Processed 279000 samples. Loss so far: 0.9864. MRR so far: 0.8335 1 (train): Batch 621 (has 450 samples). Processed 279450 samples. Loss so far: 0.9863. MRR so far: 0.8336 1 (train): Batch 622 (has 450 samples). Processed 279900 samples. Loss so far: 0.9862. MRR so far: 0.8336 1 (train): Batch 623 (has 450 samples). Processed 280350 samples. Loss so far: 0.9861. MRR so far: 0.8336 1 (train): Batch 624 (has 450 samples). Processed 280800 samples. Loss so far: 0.9861. MRR so far: 0.8336 1 (train): Batch 625 (has 450 samples). Processed 281250 samples. Loss so far: 0.9859. MRR so far: 0.8336 1 (train): Batch 626 (has 450 samples). Processed 281700 samples. Loss so far: 0.9858. MRR so far: 0.8336 1 (train): Batch 627 (has 450 samples). Processed 282150 samples. Loss so far: 0.9855. MRR so far: 0.8337 1 (train): Batch 628 (has 450 samples). Processed 282600 samples. Loss so far: 0.9855. MRR so far: 0.8337 1 (train): Batch 629 (has 450 samples). Processed 283050 samples. Loss so far: 0.9854. MRR so far: 0.8337 1 (train): Batch 630 (has 450 samples). Processed 283500 samples. Loss so far: 0.9853. MRR so far: 0.8337 1 (train): Batch 631 (has 450 samples). Processed 283950 samples. Loss so far: 0.9854. MRR so far: 0.8337 1 (train): Batch 632 (has 450 samples). Processed 284400 samples. Loss so far: 0.9854. MRR so far: 0.8337 1 (train): Batch 633 (has 450 samples). Processed 284850 samples. Loss so far: 0.9853. MRR so far: 0.8337 1 (train): Batch 634 (has 450 samples). Processed 285300 samples. Loss so far: 0.9850. MRR so far: 0.8338 1 (train): Batch 635 (has 450 samples). Processed 285750 samples. Loss so far: 0.9849. MRR so far: 0.8338 1 (train): Batch 636 (has 450 samples). Processed 286200 samples. Loss so far: 0.9846. MRR so far: 0.8338 1 (train): Batch 637 (has 450 samples). Processed 286650 samples. Loss so far: 0.9846. MRR so far: 0.8338 1 (train): Batch 638 (has 450 samples). Processed 287100 samples. Loss so far: 0.9845. MRR so far: 0.8339 1 (train): Batch 639 (has 450 samples). Processed 287550 samples. Loss so far: 0.9842. MRR so far: 0.8339 1 (train): Batch 640 (has 450 samples). Processed 288000 samples. Loss so far: 0.9840. MRR so far: 0.8339 1 (train): Batch 641 (has 450 samples). Processed 288450 samples. Loss so far: 0.9840. MRR so far: 0.8339 1 (train): Batch 642 (has 450 samples). Processed 288900 samples. Loss so far: 0.9839. MRR so far: 0.8339 1 (train): Batch 643 (has 450 samples). Processed 289350 samples. Loss so far: 0.9839. MRR so far: 0.8339 1 (train): Batch 644 (has 450 samples). Processed 289800 samples. Loss so far: 0.9840. MRR so far: 0.8339 1 (train): Batch 645 (has 450 samples). Processed 290250 samples. Loss so far: 0.9839. MRR so far: 0.8339 1 (train): Batch 646 (has 450 samples). Processed 290700 samples. Loss so far: 0.9838. MRR so far: 0.8339 1 (train): Batch 647 (has 450 samples). Processed 291150 samples. Loss so far: 0.9838. MRR so far: 0.8340 1 (train): Batch 648 (has 450 samples). Processed 291600 samples. Loss so far: 0.9837. MRR so far: 0.8339 1 (train): Batch 649 (has 450 samples). Processed 292050 samples. Loss so far: 0.9837. MRR so far: 0.8340 1 (train): Batch 650 (has 450 samples). Processed 292500 samples. Loss so far: 0.9837. MRR so far: 0.8340 1 (train): Batch 651 (has 450 samples). Processed 292950 samples. Loss so far: 0.9837. MRR so far: 0.8340 1 (train): Batch 652 (has 450 samples). Processed 293400 samples. Loss so far: 0.9836. MRR so far: 0.8340 1 (train): Batch 653 (has 450 samples). Processed 293850 samples. Loss so far: 0.9834. MRR so far: 0.8340 1 (train): Batch 654 (has 450 samples). Processed 294300 samples. Loss so far: 0.9833. MRR so far: 0.8340 1 (train): Batch 655 (has 450 samples). Processed 294750 samples. Loss so far: 0.9834. MRR so far: 0.8340 1 (train): Batch 656 (has 450 samples). Processed 295200 samples. Loss so far: 0.9833. MRR so far: 0.8340 1 (train): Batch 657 (has 450 samples). Processed 295650 samples. Loss so far: 0.9832. MRR so far: 0.8341 1 (train): Batch 658 (has 450 samples). Processed 296100 samples. Loss so far: 0.9830. MRR so far: 0.8341 1 (train): Batch 659 (has 450 samples). Processed 296550 samples. Loss so far: 0.9829. MRR so far: 0.8341 1 (train): Batch 660 (has 450 samples). Processed 297000 samples. Loss so far: 0.9828. MRR so far: 0.8341 1 (train): Batch 661 (has 450 samples). Processed 297450 samples. Loss so far: 0.9828. MRR so far: 0.8342 1 (train): Batch 662 (has 450 samples). Processed 297900 samples. Loss so far: 0.9829. MRR so far: 0.8341 1 (train): Batch 663 (has 450 samples). Processed 298350 samples. Loss so far: 0.9829. MRR so far: 0.8341 1 (train): Batch 664 (has 450 samples). Processed 298800 samples. Loss so far: 0.9829. MRR so far: 0.8341 1 (train): Batch 665 (has 450 samples). Processed 299250 samples. Loss so far: 0.9828. MRR so far: 0.8341 1 (train): Batch 666 (has 450 samples). Processed 299700 samples. Loss so far: 0.9828. MRR so far: 0.8341 1 (train): Batch 667 (has 450 samples). Processed 300150 samples. Loss so far: 0.9826. MRR so far: 0.8342 1 (train): Batch 668 (has 450 samples). Processed 300600 samples. Loss so far: 0.9827. MRR so far: 0.8342 1 (train): Batch 669 (has 450 samples). Processed 301050 samples. Loss so far: 0.9826. MRR so far: 0.8342 1 (train): Batch 670 (has 450 samples). Processed 301500 samples. Loss so far: 0.9826. MRR so far: 0.8342 1 (train): Batch 671 (has 450 samples). Processed 301950 samples. Loss so far: 0.9824. MRR so far: 0.8342 1 (train): Batch 672 (has 450 samples). Processed 302400 samples. Loss so far: 0.9822. MRR so far: 0.8342 1 (train): Batch 673 (has 450 samples). Processed 302850 samples. Loss so far: 0.9823. MRR so far: 0.8342 1 (train): Batch 674 (has 450 samples). Processed 303300 samples. Loss so far: 0.9822. MRR so far: 0.8342 1 (train): Batch 675 (has 450 samples). Processed 303750 samples. Loss so far: 0.9822. MRR so far: 0.8342 1 (train): Batch 676 (has 450 samples). Processed 304200 samples. Loss so far: 0.9822. MRR so far: 0.8342 1 (train): Batch 677 (has 450 samples). Processed 304650 samples. Loss so far: 0.9821. MRR so far: 0.8342 1 (train): Batch 678 (has 450 samples). Processed 305100 samples. Loss so far: 0.9819. MRR so far: 0.8343 1 (train): Batch 679 (has 450 samples). Processed 305550 samples. Loss so far: 0.9817. MRR so far: 0.8343 1 (train): Batch 680 (has 450 samples). Processed 306000 samples. Loss so far: 0.9817. MRR so far: 0.8343 1 (train): Batch 681 (has 450 samples). Processed 306450 samples. Loss so far: 0.9817. MRR so far: 0.8343 1 (train): Batch 682 (has 450 samples). Processed 306900 samples. Loss so far: 0.9818. MRR so far: 0.8343 1 (train): Batch 683 (has 450 samples). Processed 307350 samples. Loss so far: 0.9817. MRR so far: 0.8344 1 (train): Batch 684 (has 450 samples). Processed 307800 samples. Loss so far: 0.9817. MRR so far: 0.8344 1 (train): Batch 685 (has 450 samples). Processed 308250 samples. Loss so far: 0.9817. MRR so far: 0.8344 1 (train): Batch 686 (has 450 samples). Processed 308700 samples. Loss so far: 0.9815. MRR so far: 0.8344 1 (train): Batch 687 (has 450 samples). Processed 309150 samples. Loss so far: 0.9815. MRR so far: 0.8344 1 (train): Batch 688 (has 450 samples). Processed 309600 samples. Loss so far: 0.9816. MRR so far: 0.8344 1 (train): Batch 689 (has 450 samples). Processed 310050 samples. Loss so far: 0.9817. MRR so far: 0.8344 1 (train): Batch 690 (has 450 samples). Processed 310500 samples. Loss so far: 0.9816. MRR so far: 0.8344 1 (train): Batch 691 (has 450 samples). Processed 310950 samples. Loss so far: 0.9816. MRR so far: 0.8344 1 (train): Batch 692 (has 450 samples). Processed 311400 samples. Loss so far: 0.9814. MRR so far: 0.8344 1 (train): Batch 693 (has 450 samples). Processed 311850 samples. Loss so far: 0.9814. MRR so far: 0.8344 1 (train): Batch 694 (has 450 samples). Processed 312300 samples. Loss so far: 0.9815. MRR so far: 0.8344 1 (train): Batch 695 (has 450 samples). Processed 312750 samples. Loss so far: 0.9813. MRR so far: 0.8344 1 (train): Batch 696 (has 450 samples). Processed 313200 samples. Loss so far: 0.9813. MRR so far: 0.8344 1 (train): Batch 697 (has 450 samples). Processed 313650 samples. Loss so far: 0.9811. MRR so far: 0.8345 1 (train): Batch 698 (has 450 samples). Processed 314100 samples. Loss so far: 0.9809. MRR so far: 0.8345 1 (train): Batch 699 (has 450 samples). Processed 314550 samples. Loss so far: 0.9807. MRR so far: 0.8345 1 (train): Batch 700 (has 450 samples). Processed 315000 samples. Loss so far: 0.9806. MRR so far: 0.8346 1 (train): Batch 701 (has 450 samples). Processed 315450 samples. Loss so far: 0.9806. MRR so far: 0.8346 1 (train): Batch 702 (has 450 samples). Processed 315900 samples. Loss so far: 0.9804. MRR so far: 0.8346 1 (train): Batch 703 (has 450 samples). Processed 316350 samples. Loss so far: 0.9803. MRR so far: 0.8346 1 (train): Batch 704 (has 450 samples). Processed 316800 samples. Loss so far: 0.9802. MRR so far: 0.8346 1 (train): Batch 705 (has 450 samples). Processed 317250 samples. Loss so far: 0.9798. MRR so far: 0.8347 1 (train): Batch 706 (has 450 samples). Processed 317700 samples. Loss so far: 0.9795. MRR so far: 0.8347 1 (train): Batch 707 (has 450 samples). Processed 318150 samples. Loss so far: 0.9794. MRR so far: 0.8348 1 (train): Batch 708 (has 450 samples). Processed 318600 samples. Loss so far: 0.9794. MRR so far: 0.8348 1 (train): Batch 709 (has 450 samples). Processed 319050 samples. Loss so far: 0.9793. MRR so far: 0.8348 1 (train): Batch 710 (has 450 samples). Processed 319500 samples. Loss so far: 0.9792. MRR so far: 0.8348 1 (train): Batch 711 (has 450 samples). Processed 319950 samples. Loss so far: 0.9793. MRR so far: 0.8348 1 (train): Batch 712 (has 450 samples). Processed 320400 samples. Loss so far: 0.9791. MRR so far: 0.8348 1 (train): Batch 713 (has 450 samples). Processed 320850 samples. Loss so far: 0.9792. MRR so far: 0.8348 1 (train): Batch 714 (has 450 samples). Processed 321300 samples. Loss so far: 0.9792. MRR so far: 0.8348 1 (train): Batch 715 (has 450 samples). Processed 321750 samples. Loss so far: 0.9793. MRR so far: 0.8348 1 (train): Batch 716 (has 450 samples). Processed 322200 samples. Loss so far: 0.9793. MRR so far: 0.8348 1 (train): Batch 717 (has 450 samples). Processed 322650 samples. Loss so far: 0.9792. MRR so far: 0.8348 1 (train): Batch 718 (has 450 samples). Processed 323100 samples. Loss so far: 0.9790. MRR so far: 0.8348 1 (train): Batch 719 (has 450 samples). Processed 323550 samples. Loss so far: 0.9791. MRR so far: 0.8348 1 (train): Batch 720 (has 450 samples). Processed 324000 samples. Loss so far: 0.9790. MRR so far: 0.8348 1 (train): Batch 721 (has 450 samples). Processed 324450 samples. Loss so far: 0.9789. MRR so far: 0.8348 1 (train): Batch 722 (has 450 samples). Processed 324900 samples. Loss so far: 0.9788. MRR so far: 0.8348 1 (train): Batch 723 (has 450 samples). Processed 325350 samples. Loss so far: 0.9787. MRR so far: 0.8349 1 (train): Batch 724 (has 450 samples). Processed 325800 samples. Loss so far: 0.9785. MRR so far: 0.8349 1 (train): Batch 725 (has 450 samples). Processed 326250 samples. Loss so far: 0.9784. MRR so far: 0.8349 1 (train): Batch 726 (has 450 samples). Processed 326700 samples. Loss so far: 0.9785. MRR so far: 0.8349 1 (train): Batch 727 (has 450 samples). Processed 327150 samples. Loss so far: 0.9785. MRR so far: 0.8349 1 (train): Batch 728 (has 450 samples). Processed 327600 samples. Loss so far: 0.9784. MRR so far: 0.8349 1 (train): Batch 729 (has 450 samples). Processed 328050 samples. Loss so far: 0.9785. MRR so far: 0.8349 1 (train): Batch 730 (has 450 samples). Processed 328500 samples. Loss so far: 0.9784. MRR so far: 0.8349 1 (train): Batch 731 (has 450 samples). Processed 328950 samples. Loss so far: 0.9782. MRR so far: 0.8350 1 (train): Batch 732 (has 450 samples). Processed 329400 samples. Loss so far: 0.9779. MRR so far: 0.8350 1 (train): Batch 733 (has 450 samples). Processed 329850 samples. Loss so far: 0.9777. MRR so far: 0.8350 1 (train): Batch 734 (has 450 samples). Processed 330300 samples. Loss so far: 0.9776. MRR so far: 0.8350 1 (train): Batch 735 (has 450 samples). Processed 330750 samples. Loss so far: 0.9778. MRR so far: 0.8350 1 (train): Batch 736 (has 450 samples). Processed 331200 samples. Loss so far: 0.9777. MRR so far: 0.8350 1 (train): Batch 737 (has 450 samples). Processed 331650 samples. Loss so far: 0.9775. MRR so far: 0.8350 1 (train): Batch 738 (has 450 samples). Processed 332100 samples. Loss so far: 0.9774. MRR so far: 0.8351 1 (train): Batch 739 (has 450 samples). Processed 332550 samples. Loss so far: 0.9774. MRR so far: 0.8351 1 (train): Batch 740 (has 450 samples). Processed 333000 samples. Loss so far: 0.9773. MRR so far: 0.8351 1 (train): Batch 741 (has 450 samples). Processed 333450 samples. Loss so far: 0.9772. MRR so far: 0.8351 1 (train): Batch 742 (has 450 samples). Processed 333900 samples. Loss so far: 0.9771. MRR so far: 0.8351 1 (train): Batch 743 (has 450 samples). Processed 334350 samples. Loss so far: 0.9770. MRR so far: 0.8351 1 (train): Batch 744 (has 450 samples). Processed 334800 samples. Loss so far: 0.9769. 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MRR so far: 0.8369 1 (train): Batch 898 (has 450 samples). Processed 404100 samples. Loss so far: 0.9655. MRR so far: 0.8369 1 (train): Batch 899 (has 450 samples). Processed 404550 samples. Loss so far: 0.9653. MRR so far: 0.8369 1 (train): Batch 900 (has 450 samples). Processed 405000 samples. Loss so far: 0.9654. MRR so far: 0.8369 1 (train): Batch 901 (has 450 samples). Processed 405450 samples. Loss so far: 0.9653. MRR so far: 0.8369 1 (train): Batch 902 (has 450 samples). Processed 405900 samples. Loss so far: 0.9653. MRR so far: 0.8369 1 (train): Batch 903 (has 450 samples). Processed 406350 samples. Loss so far: 0.9651. MRR so far: 0.8370 1 (train): Batch 904 (has 450 samples). Processed 406800 samples. Loss so far: 0.9650. MRR so far: 0.8370 1 (train): Batch 905 (has 450 samples). Processed 407250 samples. Loss so far: 0.9649. MRR so far: 0.8370 1 (train): Batch 906 (has 450 samples). Processed 407700 samples. Loss so far: 0.9647. MRR so far: 0.8370 1 (train): Batch 907 (has 450 samples). Processed 408150 samples. Loss so far: 0.9647. MRR so far: 0.8370 1 (train): Batch 908 (has 450 samples). Processed 408600 samples. Loss so far: 0.9646. MRR so far: 0.8370 1 (train): Batch 909 (has 450 samples). Processed 409050 samples. Loss so far: 0.9646. MRR so far: 0.8370 1 (train): Batch 910 (has 450 samples). Processed 409500 samples. Loss so far: 0.9645. MRR so far: 0.8370 1 (train): Batch 911 (has 450 samples). Processed 409950 samples. Loss so far: 0.9644. MRR so far: 0.8371 1 (train): Batch 912 (has 450 samples). Processed 410400 samples. Loss so far: 0.9645. MRR so far: 0.8371 1 (train): Batch 913 (has 450 samples). Processed 410850 samples. Loss so far: 0.9643. MRR so far: 0.8371 1 (train): Batch 914 (has 450 samples). Processed 411300 samples. Loss so far: 0.9643. MRR so far: 0.8371  Epoch 1 (train) took 9118.56s [processed 45 samples/second] + Training Loss: 0.964254 +1 (valid): Batch 0 (has 450 samples). Processed 0 samples. Loss so far: 0.0000. MRR so far: 0.0000 1 (valid): Batch 1 (has 450 samples). Processed 450 samples. Loss so far: 2.6601. MRR so far: 0.5307 1 (valid): Batch 2 (has 450 samples). Processed 900 samples. Loss so far: 2.5352. MRR so far: 0.5670 1 (valid): Batch 3 (has 450 samples). Processed 1350 samples. Loss so far: 2.4845. MRR so far: 0.5767 1 (valid): Batch 4 (has 450 samples). Processed 1800 samples. Loss so far: 2.4346. MRR so far: 0.5833 1 (valid): Batch 5 (has 450 samples). Processed 2250 samples. Loss so far: 2.3725. MRR so far: 0.5965 1 (valid): Batch 6 (has 450 samples). Processed 2700 samples. Loss so far: 2.3330. MRR so far: 0.6053 1 (valid): Batch 7 (has 450 samples). Processed 3150 samples. Loss so far: 2.2956. MRR so far: 0.6146 1 (valid): Batch 8 (has 450 samples). Processed 3600 samples. Loss so far: 2.2613. MRR so far: 0.6226 1 (valid): Batch 9 (has 450 samples). Processed 4050 samples. Loss so far: 2.2297. MRR so far: 0.6296 1 (valid): Batch 10 (has 450 samples). Processed 4500 samples. Loss so far: 2.1816. MRR so far: 0.6383 1 (valid): Batch 11 (has 450 samples). Processed 4950 samples. Loss so far: 2.1657. MRR so far: 0.6423 1 (valid): Batch 12 (has 450 samples). Processed 5400 samples. Loss so far: 2.1435. MRR so far: 0.6470 1 (valid): Batch 13 (has 450 samples). Processed 5850 samples. Loss so far: 2.1243. MRR so far: 0.6514 1 (valid): Batch 14 (has 450 samples). Processed 6300 samples. Loss so far: 2.1055. MRR so far: 0.6547 1 (valid): Batch 15 (has 450 samples). Processed 6750 samples. Loss so far: 2.0821. MRR so far: 0.6574 1 (valid): Batch 16 (has 450 samples). Processed 7200 samples. Loss so far: 2.0621. MRR so far: 0.6600 1 (valid): Batch 17 (has 450 samples). Processed 7650 samples. Loss so far: 2.0436. MRR so far: 0.6623 1 (valid): Batch 18 (has 450 samples). Processed 8100 samples. Loss so far: 2.0253. MRR so far: 0.6652 1 (valid): Batch 19 (has 450 samples). Processed 8550 samples. Loss so far: 2.0121. MRR so far: 0.6681 1 (valid): Batch 20 (has 450 samples). Processed 9000 samples. Loss so far: 1.9955. MRR so far: 0.6704 1 (valid): Batch 21 (has 450 samples). Processed 9450 samples. Loss so far: 1.9839. MRR so far: 0.6724 1 (valid): Batch 22 (has 450 samples). Processed 9900 samples. Loss so far: 1.9684. MRR so far: 0.6755 1 (valid): Batch 23 (has 450 samples). Processed 10350 samples. Loss so far: 1.9501. MRR so far: 0.6782 1 (valid): Batch 24 (has 450 samples). Processed 10800 samples. Loss so far: 1.9393. MRR so far: 0.6802 1 (valid): Batch 25 (has 450 samples). Processed 11250 samples. Loss so far: 1.9304. MRR so far: 0.6818 1 (valid): Batch 26 (has 450 samples). Processed 11700 samples. Loss so far: 1.9156. MRR so far: 0.6846 1 (valid): Batch 27 (has 450 samples). Processed 12150 samples. Loss so far: 1.8952. MRR so far: 0.6885 1 (valid): Batch 28 (has 450 samples). Processed 12600 samples. Loss so far: 1.8899. MRR so far: 0.6897 1 (valid): Batch 29 (has 450 samples). Processed 13050 samples. Loss so far: 1.8833. MRR so far: 0.6912 1 (valid): Batch 30 (has 450 samples). Processed 13500 samples. Loss so far: 1.8742. MRR so far: 0.6927 1 (valid): Batch 31 (has 450 samples). Processed 13950 samples. Loss so far: 1.8616. MRR so far: 0.6947 1 (valid): Batch 32 (has 450 samples). Processed 14400 samples. Loss so far: 1.8584. MRR so far: 0.6958 1 (valid): Batch 33 (has 450 samples). Processed 14850 samples. Loss so far: 1.8553. MRR so far: 0.6968 1 (valid): Batch 34 (has 450 samples). Processed 15300 samples. Loss so far: 1.8460. MRR so far: 0.6984 1 (valid): Batch 35 (has 450 samples). Processed 15750 samples. Loss so far: 1.8409. MRR so far: 0.6991 1 (valid): Batch 36 (has 450 samples). Processed 16200 samples. Loss so far: 1.8407. MRR so far: 0.6993 1 (valid): Batch 37 (has 450 samples). Processed 16650 samples. Loss so far: 1.8327. MRR so far: 0.7004 1 (valid): Batch 38 (has 450 samples). Processed 17100 samples. Loss so far: 1.8246. MRR so far: 0.7015 1 (valid): Batch 39 (has 450 samples). Processed 17550 samples. Loss so far: 1.8257. MRR so far: 0.7016 1 (valid): Batch 40 (has 450 samples). Processed 18000 samples. Loss so far: 1.8260. MRR so far: 0.7017 1 (valid): Batch 41 (has 450 samples). Processed 18450 samples. Loss so far: 1.8162. MRR so far: 0.7033 1 (valid): Batch 42 (has 450 samples). Processed 18900 samples. Loss so far: 1.8212. MRR so far: 0.7030 1 (valid): Batch 43 (has 450 samples). Processed 19350 samples. Loss so far: 1.8191. MRR so far: 0.7034 1 (valid): Batch 44 (has 450 samples). Processed 19800 samples. Loss so far: 1.8164. MRR so far: 0.7040 1 (valid): Batch 45 (has 450 samples). Processed 20250 samples. Loss so far: 1.8143. MRR so far: 0.7047 1 (valid): Batch 46 (has 450 samples). Processed 20700 samples. Loss so far: 1.8091. MRR so far: 0.7057 1 (valid): Batch 47 (has 450 samples). Processed 21150 samples. Loss so far: 1.8067. MRR so far: 0.7060 1 (valid): Batch 48 (has 450 samples). Processed 21600 samples. Loss so far: 1.8122. MRR so far: 0.7052 1 (valid): Batch 49 (has 450 samples). Processed 22050 samples. Loss so far: 1.8140. MRR so far: 0.7052 1 (valid): Batch 50 (has 450 samples). Processed 22500 samples. Loss so far: 1.8157. MRR so far: 0.7051  Epoch 1 (valid) took 193.60s [processed 118 samples/second] + Validation: Loss: 1.814282 | MRR: 0.705266 + Best result so far -- saved model as '/network/home/jangeunb/CodeSearchNet/resources/saved_models/SelfAttentionModel-2020-04-17-22-39-10_model_best.pkl.gz'. +==== Epoch 2 ==== +2 (train): Batch 0 (has 450 samples). Processed 0 samples. Loss so far: 0.0000. MRR so far: 0.0000 2 (train): Batch 1 (has 450 samples). Processed 450 samples. Loss so far: 0.5957. MRR so far: 0.9012 2 (train): Batch 2 (has 450 samples). Processed 900 samples. Loss so far: 0.6006. MRR so far: 0.8980 2 (train): Batch 3 (has 450 samples). Processed 1350 samples. Loss so far: 0.6012. MRR so far: 0.8977 2 (train): Batch 4 (has 450 samples). Processed 1800 samples. Loss so far: 0.5910. MRR so far: 0.8995 2 (train): Batch 5 (has 450 samples). Processed 2250 samples. Loss so far: 0.5890. MRR so far: 0.9013 2 (train): Batch 6 (has 450 samples). Processed 2700 samples. Loss so far: 0.5995. MRR so far: 0.8993 2 (train): Batch 7 (has 450 samples). Processed 3150 samples. Loss so far: 0.5986. MRR so far: 0.8995 2 (train): Batch 8 (has 450 samples). Processed 3600 samples. Loss so far: 0.5970. MRR so far: 0.8993 2 (train): Batch 9 (has 450 samples). Processed 4050 samples. Loss so far: 0.5958. MRR so far: 0.9000 2 (train): Batch 10 (has 450 samples). Processed 4500 samples. Loss so far: 0.5980. MRR so far: 0.8985 2 (train): Batch 11 (has 450 samples). Processed 4950 samples. Loss so far: 0.6014. MRR so far: 0.8991 2 (train): Batch 12 (has 450 samples). Processed 5400 samples. Loss so far: 0.5982. MRR so far: 0.8993 2 (train): Batch 13 (has 450 samples). 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MRR so far: 0.9002 2 (train): Batch 23 (has 450 samples). Processed 10350 samples. Loss so far: 0.5902. MRR so far: 0.9000 2 (train): Batch 24 (has 450 samples). Processed 10800 samples. Loss so far: 0.5898. MRR so far: 0.8998 2 (train): Batch 25 (has 450 samples). Processed 11250 samples. Loss so far: 0.5904. MRR so far: 0.8994 2 (train): Batch 26 (has 450 samples). Processed 11700 samples. Loss so far: 0.5916. MRR so far: 0.8989 2 (train): Batch 27 (has 450 samples). Processed 12150 samples. Loss so far: 0.5934. MRR so far: 0.8983 2 (train): Batch 28 (has 450 samples). Processed 12600 samples. Loss so far: 0.5962. MRR so far: 0.8976 2 (train): Batch 29 (has 450 samples). Processed 13050 samples. Loss so far: 0.5968. MRR so far: 0.8978 2 (train): Batch 30 (has 450 samples). Processed 13500 samples. Loss so far: 0.5993. MRR so far: 0.8976 2 (train): Batch 31 (has 450 samples). Processed 13950 samples. Loss so far: 0.5973. MRR so far: 0.8977 2 (train): Batch 32 (has 450 samples). 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MRR so far: 0.8882 2 (train): Batch 720 (has 450 samples). Processed 324000 samples. Loss so far: 0.6555. MRR so far: 0.8882 2 (train): Batch 721 (has 450 samples). Processed 324450 samples. Loss so far: 0.6556. MRR so far: 0.8882 2 (train): Batch 722 (has 450 samples). Processed 324900 samples. Loss so far: 0.6556. MRR so far: 0.8882 2 (train): Batch 723 (has 450 samples). Processed 325350 samples. Loss so far: 0.6557. MRR so far: 0.8882 2 (train): Batch 724 (has 450 samples). Processed 325800 samples. Loss so far: 0.6558. MRR so far: 0.8882 2 (train): Batch 725 (has 450 samples). Processed 326250 samples. Loss so far: 0.6558. MRR so far: 0.8882 2 (train): Batch 726 (has 450 samples). Processed 326700 samples. Loss so far: 0.6559. MRR so far: 0.8882 2 (train): Batch 727 (has 450 samples). Processed 327150 samples. Loss so far: 0.6558. MRR so far: 0.8882 2 (train): Batch 728 (has 450 samples). Processed 327600 samples. Loss so far: 0.6558. 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MRR so far: 0.8877 2 (train): Batch 891 (has 450 samples). Processed 400950 samples. Loss so far: 0.6580. MRR so far: 0.8877 2 (train): Batch 892 (has 450 samples). Processed 401400 samples. Loss so far: 0.6581. MRR so far: 0.8877 2 (train): Batch 893 (has 450 samples). Processed 401850 samples. Loss so far: 0.6582. MRR so far: 0.8877 2 (train): Batch 894 (has 450 samples). Processed 402300 samples. Loss so far: 0.6582. MRR so far: 0.8877 2 (train): Batch 895 (has 450 samples). Processed 402750 samples. Loss so far: 0.6582. MRR so far: 0.8877 2 (train): Batch 896 (has 450 samples). Processed 403200 samples. Loss so far: 0.6582. MRR so far: 0.8877 2 (train): Batch 897 (has 450 samples). Processed 403650 samples. Loss so far: 0.6582. MRR so far: 0.8876 2 (train): Batch 898 (has 450 samples). Processed 404100 samples. Loss so far: 0.6584. MRR so far: 0.8876 2 (train): Batch 899 (has 450 samples). Processed 404550 samples. Loss so far: 0.6586. MRR so far: 0.8876 2 (train): Batch 900 (has 450 samples). Processed 405000 samples. Loss so far: 0.6586. MRR so far: 0.8876 2 (train): Batch 901 (has 450 samples). Processed 405450 samples. Loss so far: 0.6586. MRR so far: 0.8876 2 (train): Batch 902 (has 450 samples). Processed 405900 samples. Loss so far: 0.6586. MRR so far: 0.8876 2 (train): Batch 903 (has 450 samples). Processed 406350 samples. Loss so far: 0.6585. MRR so far: 0.8876 2 (train): Batch 904 (has 450 samples). Processed 406800 samples. Loss so far: 0.6585. MRR so far: 0.8876 2 (train): Batch 905 (has 450 samples). Processed 407250 samples. Loss so far: 0.6586. MRR so far: 0.8876 2 (train): Batch 906 (has 450 samples). Processed 407700 samples. Loss so far: 0.6585. MRR so far: 0.8876 2 (train): Batch 907 (has 450 samples). Processed 408150 samples. Loss so far: 0.6586. MRR so far: 0.8876 2 (train): Batch 908 (has 450 samples). Processed 408600 samples. Loss so far: 0.6586. MRR so far: 0.8875 2 (train): Batch 909 (has 450 samples). Processed 409050 samples. Loss so far: 0.6585. MRR so far: 0.8876 2 (train): Batch 910 (has 450 samples). Processed 409500 samples. Loss so far: 0.6585. MRR so far: 0.8876 2 (train): Batch 911 (has 450 samples). Processed 409950 samples. Loss so far: 0.6585. MRR so far: 0.8876 2 (train): Batch 912 (has 450 samples). Processed 410400 samples. Loss so far: 0.6584. MRR so far: 0.8876 2 (train): Batch 913 (has 450 samples). Processed 410850 samples. Loss so far: 0.6584. MRR so far: 0.8876 2 (train): Batch 914 (has 450 samples). Processed 411300 samples. Loss so far: 0.6583. MRR so far: 0.8876  Epoch 2 (train) took 9137.62s [processed 45 samples/second] + Training Loss: 0.658319 +2 (valid): Batch 0 (has 450 samples). Processed 0 samples. Loss so far: 0.0000. MRR so far: 0.0000 2 (valid): Batch 1 (has 450 samples). Processed 450 samples. Loss so far: 2.7554. MRR so far: 0.5382 2 (valid): Batch 2 (has 450 samples). Processed 900 samples. Loss so far: 2.5453. MRR so far: 0.5776 2 (valid): Batch 3 (has 450 samples). Processed 1350 samples. Loss so far: 2.4760. MRR so far: 0.5865 2 (valid): Batch 4 (has 450 samples). Processed 1800 samples. Loss so far: 2.4532. MRR so far: 0.5920 2 (valid): Batch 5 (has 450 samples). Processed 2250 samples. Loss so far: 2.4092. MRR so far: 0.6026 2 (valid): Batch 6 (has 450 samples). Processed 2700 samples. Loss so far: 2.3687. MRR so far: 0.6127 2 (valid): Batch 7 (has 450 samples). Processed 3150 samples. Loss so far: 2.3329. MRR so far: 0.6204 2 (valid): Batch 8 (has 450 samples). Processed 3600 samples. Loss so far: 2.2885. MRR so far: 0.6297 2 (valid): Batch 9 (has 450 samples). Processed 4050 samples. Loss so far: 2.2390. MRR so far: 0.6392 2 (valid): Batch 10 (has 450 samples). Processed 4500 samples. Loss so far: 2.1960. MRR so far: 0.6470 2 (valid): Batch 11 (has 450 samples). Processed 4950 samples. Loss so far: 2.1795. MRR so far: 0.6513 2 (valid): Batch 12 (has 450 samples). Processed 5400 samples. Loss so far: 2.1518. MRR so far: 0.6568 2 (valid): Batch 13 (has 450 samples). Processed 5850 samples. Loss so far: 2.1363. MRR so far: 0.6601 2 (valid): Batch 14 (has 450 samples). Processed 6300 samples. Loss so far: 2.1139. MRR so far: 0.6633 2 (valid): Batch 15 (has 450 samples). Processed 6750 samples. Loss so far: 2.0860. MRR so far: 0.6677 2 (valid): Batch 16 (has 450 samples). Processed 7200 samples. Loss so far: 2.0631. MRR so far: 0.6710 2 (valid): Batch 17 (has 450 samples). Processed 7650 samples. Loss so far: 2.0486. MRR so far: 0.6730 2 (valid): Batch 18 (has 450 samples). Processed 8100 samples. Loss so far: 2.0293. MRR so far: 0.6754 2 (valid): Batch 19 (has 450 samples). Processed 8550 samples. Loss so far: 2.0201. MRR so far: 0.6784 2 (valid): Batch 20 (has 450 samples). Processed 9000 samples. Loss so far: 1.9998. MRR so far: 0.6815 2 (valid): Batch 21 (has 450 samples). Processed 9450 samples. Loss so far: 1.9888. MRR so far: 0.6832 2 (valid): Batch 22 (has 450 samples). Processed 9900 samples. Loss so far: 1.9678. MRR so far: 0.6863 2 (valid): Batch 23 (has 450 samples). Processed 10350 samples. Loss so far: 1.9505. MRR so far: 0.6889 2 (valid): Batch 24 (has 450 samples). Processed 10800 samples. Loss so far: 1.9404. MRR so far: 0.6908 2 (valid): Batch 25 (has 450 samples). Processed 11250 samples. Loss so far: 1.9265. MRR so far: 0.6928 2 (valid): Batch 26 (has 450 samples). Processed 11700 samples. Loss so far: 1.9088. MRR so far: 0.6954 2 (valid): Batch 27 (has 450 samples). Processed 12150 samples. Loss so far: 1.8876. MRR so far: 0.6988 2 (valid): Batch 28 (has 450 samples). Processed 12600 samples. Loss so far: 1.8811. MRR so far: 0.6999 2 (valid): Batch 29 (has 450 samples). Processed 13050 samples. Loss so far: 1.8730. MRR so far: 0.7012 2 (valid): Batch 30 (has 450 samples). Processed 13500 samples. Loss so far: 1.8623. 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Processed 18000 samples. Loss so far: 1.8163. MRR so far: 0.7116 2 (valid): Batch 41 (has 450 samples). Processed 18450 samples. Loss so far: 1.8080. MRR so far: 0.7128 2 (valid): Batch 42 (has 450 samples). Processed 18900 samples. Loss so far: 1.8149. MRR so far: 0.7127 2 (valid): Batch 43 (has 450 samples). Processed 19350 samples. Loss so far: 1.8127. MRR so far: 0.7132 2 (valid): Batch 44 (has 450 samples). Processed 19800 samples. Loss so far: 1.8115. MRR so far: 0.7138 2 (valid): Batch 45 (has 450 samples). Processed 20250 samples. Loss so far: 1.8107. MRR so far: 0.7142 2 (valid): Batch 46 (has 450 samples). Processed 20700 samples. Loss so far: 1.8063. MRR so far: 0.7149 2 (valid): Batch 47 (has 450 samples). Processed 21150 samples. Loss so far: 1.8028. MRR so far: 0.7153 2 (valid): Batch 48 (has 450 samples). Processed 21600 samples. Loss so far: 1.8080. MRR so far: 0.7145 2 (valid): Batch 49 (has 450 samples). Processed 22050 samples. Loss so far: 1.8100. MRR so far: 0.7144 2 (valid): Batch 50 (has 450 samples). Processed 22500 samples. Loss so far: 1.8103. MRR so far: 0.7142  Epoch 2 (valid) took 199.88s [processed 114 samples/second] + Validation: Loss: 1.808657 | MRR: 0.714425 + Best result so far -- saved model as '/network/home/jangeunb/CodeSearchNet/resources/saved_models/SelfAttentionModel-2020-04-17-22-39-10_model_best.pkl.gz'. +==== Epoch 3 ==== +3 (train): Batch 0 (has 450 samples). Processed 0 samples. Loss so far: 0.0000. MRR so far: 0.0000 3 (train): Batch 1 (has 450 samples). Processed 450 samples. Loss so far: 0.4696. MRR so far: 0.9216 3 (train): Batch 2 (has 450 samples). Processed 900 samples. Loss so far: 0.4428. MRR so far: 0.9253 3 (train): Batch 3 (has 450 samples). Processed 1350 samples. Loss so far: 0.4310. MRR so far: 0.9234 3 (train): Batch 4 (has 450 samples). Processed 1800 samples. Loss so far: 0.4362. MRR so far: 0.9244 3 (train): Batch 5 (has 450 samples). Processed 2250 samples. Loss so far: 0.4378. 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MRR so far: 0.9146 3 (train): Batch 641 (has 450 samples). Processed 288450 samples. Loss so far: 0.4969. MRR so far: 0.9146 3 (train): Batch 642 (has 450 samples). Processed 288900 samples. Loss so far: 0.4969. MRR so far: 0.9145 3 (train): Batch 643 (has 450 samples). Processed 289350 samples. Loss so far: 0.4970. MRR so far: 0.9145 3 (train): Batch 644 (has 450 samples). Processed 289800 samples. Loss so far: 0.4970. MRR so far: 0.9145 3 (train): Batch 645 (has 450 samples). Processed 290250 samples. Loss so far: 0.4971. MRR so far: 0.9145 3 (train): Batch 646 (has 450 samples). Processed 290700 samples. Loss so far: 0.4972. MRR so far: 0.9145 3 (train): Batch 647 (has 450 samples). Processed 291150 samples. Loss so far: 0.4972. MRR so far: 0.9145 3 (train): Batch 648 (has 450 samples). Processed 291600 samples. Loss so far: 0.4971. MRR so far: 0.9145 3 (train): Batch 649 (has 450 samples). Processed 292050 samples. Loss so far: 0.4971. 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MRR so far: 0.9144 3 (train): Batch 659 (has 450 samples). Processed 296550 samples. Loss so far: 0.4974. MRR so far: 0.9144 3 (train): Batch 660 (has 450 samples). Processed 297000 samples. Loss so far: 0.4975. MRR so far: 0.9144 3 (train): Batch 661 (has 450 samples). Processed 297450 samples. Loss so far: 0.4975. MRR so far: 0.9144 3 (train): Batch 662 (has 450 samples). Processed 297900 samples. Loss so far: 0.4977. MRR so far: 0.9144 3 (train): Batch 663 (has 450 samples). Processed 298350 samples. Loss so far: 0.4978. MRR so far: 0.9143 3 (train): Batch 664 (has 450 samples). Processed 298800 samples. Loss so far: 0.4979. MRR so far: 0.9143 3 (train): Batch 665 (has 450 samples). Processed 299250 samples. Loss so far: 0.4979. MRR so far: 0.9143 3 (train): Batch 666 (has 450 samples). Processed 299700 samples. Loss so far: 0.4979. MRR so far: 0.9143 3 (train): Batch 667 (has 450 samples). Processed 300150 samples. Loss so far: 0.4981. MRR so far: 0.9143 3 (train): Batch 668 (has 450 samples). Processed 300600 samples. Loss so far: 0.4983. MRR so far: 0.9143 3 (train): Batch 669 (has 450 samples). Processed 301050 samples. Loss so far: 0.4983. MRR so far: 0.9143 3 (train): Batch 670 (has 450 samples). Processed 301500 samples. Loss so far: 0.4984. MRR so far: 0.9142 3 (train): Batch 671 (has 450 samples). Processed 301950 samples. Loss so far: 0.4985. MRR so far: 0.9142 3 (train): Batch 672 (has 450 samples). Processed 302400 samples. Loss so far: 0.4986. MRR so far: 0.9142 3 (train): Batch 673 (has 450 samples). Processed 302850 samples. Loss so far: 0.4986. MRR so far: 0.9142 3 (train): Batch 674 (has 450 samples). Processed 303300 samples. Loss so far: 0.4986. MRR so far: 0.9142 3 (train): Batch 675 (has 450 samples). Processed 303750 samples. Loss so far: 0.4988. MRR so far: 0.9141 3 (train): Batch 676 (has 450 samples). Processed 304200 samples. Loss so far: 0.4989. MRR so far: 0.9141 3 (train): Batch 677 (has 450 samples). Processed 304650 samples. Loss so far: 0.4990. MRR so far: 0.9141 3 (train): Batch 678 (has 450 samples). Processed 305100 samples. Loss so far: 0.4990. MRR so far: 0.9141 3 (train): Batch 679 (has 450 samples). Processed 305550 samples. Loss so far: 0.4992. MRR so far: 0.9141 3 (train): Batch 680 (has 450 samples). Processed 306000 samples. Loss so far: 0.4991. MRR so far: 0.9141 3 (train): Batch 681 (has 450 samples). Processed 306450 samples. Loss so far: 0.4991. MRR so far: 0.9141 3 (train): Batch 682 (has 450 samples). Processed 306900 samples. Loss so far: 0.4992. MRR so far: 0.9141 3 (train): Batch 683 (has 450 samples). Processed 307350 samples. Loss so far: 0.4993. MRR so far: 0.9140 3 (train): Batch 684 (has 450 samples). Processed 307800 samples. Loss so far: 0.4993. MRR so far: 0.9140 3 (train): Batch 685 (has 450 samples). Processed 308250 samples. Loss so far: 0.4994. MRR so far: 0.9140 3 (train): Batch 686 (has 450 samples). Processed 308700 samples. Loss so far: 0.4994. MRR so far: 0.9140 3 (train): Batch 687 (has 450 samples). Processed 309150 samples. Loss so far: 0.4995. MRR so far: 0.9140 3 (train): Batch 688 (has 450 samples). Processed 309600 samples. Loss so far: 0.4995. MRR so far: 0.9140 3 (train): Batch 689 (has 450 samples). Processed 310050 samples. Loss so far: 0.4995. MRR so far: 0.9140 3 (train): Batch 690 (has 450 samples). Processed 310500 samples. Loss so far: 0.4995. MRR so far: 0.9140 3 (train): Batch 691 (has 450 samples). Processed 310950 samples. Loss so far: 0.4995. MRR so far: 0.9140 3 (train): Batch 692 (has 450 samples). Processed 311400 samples. Loss so far: 0.4997. MRR so far: 0.9140 3 (train): Batch 693 (has 450 samples). Processed 311850 samples. Loss so far: 0.4998. MRR so far: 0.9139 3 (train): Batch 694 (has 450 samples). Processed 312300 samples. Loss so far: 0.4998. MRR so far: 0.9139 3 (train): Batch 695 (has 450 samples). Processed 312750 samples. Loss so far: 0.4998. MRR so far: 0.9139 3 (train): Batch 696 (has 450 samples). Processed 313200 samples. Loss so far: 0.4998. MRR so far: 0.9139 3 (train): Batch 697 (has 450 samples). Processed 313650 samples. Loss so far: 0.4998. MRR so far: 0.9139 3 (train): Batch 698 (has 450 samples). Processed 314100 samples. Loss so far: 0.5000. MRR so far: 0.9139 3 (train): Batch 699 (has 450 samples). Processed 314550 samples. Loss so far: 0.5000. MRR so far: 0.9139 3 (train): Batch 700 (has 450 samples). Processed 315000 samples. Loss so far: 0.5001. MRR so far: 0.9139 3 (train): Batch 701 (has 450 samples). Processed 315450 samples. Loss so far: 0.5001. MRR so far: 0.9138 3 (train): Batch 702 (has 450 samples). Processed 315900 samples. Loss so far: 0.5002. MRR so far: 0.9138 3 (train): Batch 703 (has 450 samples). Processed 316350 samples. Loss so far: 0.5002. 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MRR so far: 0.9138 3 (train): Batch 713 (has 450 samples). Processed 320850 samples. Loss so far: 0.5006. MRR so far: 0.9138 3 (train): Batch 714 (has 450 samples). Processed 321300 samples. Loss so far: 0.5006. MRR so far: 0.9138 3 (train): Batch 715 (has 450 samples). Processed 321750 samples. Loss so far: 0.5007. MRR so far: 0.9138 3 (train): Batch 716 (has 450 samples). Processed 322200 samples. Loss so far: 0.5009. MRR so far: 0.9138 3 (train): Batch 717 (has 450 samples). Processed 322650 samples. Loss so far: 0.5009. MRR so far: 0.9138 3 (train): Batch 718 (has 450 samples). Processed 323100 samples. Loss so far: 0.5009. MRR so far: 0.9138 3 (train): Batch 719 (has 450 samples). Processed 323550 samples. Loss so far: 0.5011. MRR so far: 0.9137 3 (train): Batch 720 (has 450 samples). Processed 324000 samples. Loss so far: 0.5012. MRR so far: 0.9137 3 (train): Batch 721 (has 450 samples). Processed 324450 samples. Loss so far: 0.5012. MRR so far: 0.9137 3 (train): Batch 722 (has 450 samples). Processed 324900 samples. Loss so far: 0.5013. MRR so far: 0.9137 3 (train): Batch 723 (has 450 samples). Processed 325350 samples. Loss so far: 0.5015. MRR so far: 0.9137 3 (train): Batch 724 (has 450 samples). Processed 325800 samples. Loss so far: 0.5015. MRR so far: 0.9137 3 (train): Batch 725 (has 450 samples). Processed 326250 samples. Loss so far: 0.5014. MRR so far: 0.9137 3 (train): Batch 726 (has 450 samples). Processed 326700 samples. Loss so far: 0.5016. MRR so far: 0.9137 3 (train): Batch 727 (has 450 samples). Processed 327150 samples. Loss so far: 0.5016. MRR so far: 0.9137 3 (train): Batch 728 (has 450 samples). Processed 327600 samples. Loss so far: 0.5017. MRR so far: 0.9137 3 (train): Batch 729 (has 450 samples). Processed 328050 samples. Loss so far: 0.5018. MRR so far: 0.9137 3 (train): Batch 730 (has 450 samples). Processed 328500 samples. Loss so far: 0.5018. MRR so far: 0.9137 3 (train): Batch 731 (has 450 samples). Processed 328950 samples. Loss so far: 0.5019. MRR so far: 0.9136 3 (train): Batch 732 (has 450 samples). Processed 329400 samples. Loss so far: 0.5019. MRR so far: 0.9137 3 (train): Batch 733 (has 450 samples). Processed 329850 samples. Loss so far: 0.5019. MRR so far: 0.9136 3 (train): Batch 734 (has 450 samples). Processed 330300 samples. Loss so far: 0.5018. MRR so far: 0.9137 3 (train): Batch 735 (has 450 samples). Processed 330750 samples. Loss so far: 0.5019. MRR so far: 0.9136 3 (train): Batch 736 (has 450 samples). Processed 331200 samples. Loss so far: 0.5019. MRR so far: 0.9136 3 (train): Batch 737 (has 450 samples). Processed 331650 samples. Loss so far: 0.5018. MRR so far: 0.9136 3 (train): Batch 738 (has 450 samples). Processed 332100 samples. Loss so far: 0.5018. MRR so far: 0.9136 3 (train): Batch 739 (has 450 samples). Processed 332550 samples. Loss so far: 0.5020. MRR so far: 0.9136 3 (train): Batch 740 (has 450 samples). Processed 333000 samples. Loss so far: 0.5022. MRR so far: 0.9136 3 (train): Batch 741 (has 450 samples). Processed 333450 samples. Loss so far: 0.5021. MRR so far: 0.9136 3 (train): Batch 742 (has 450 samples). Processed 333900 samples. Loss so far: 0.5022. MRR so far: 0.9136 3 (train): Batch 743 (has 450 samples). Processed 334350 samples. Loss so far: 0.5022. MRR so far: 0.9136 3 (train): Batch 744 (has 450 samples). Processed 334800 samples. Loss so far: 0.5023. MRR so far: 0.9135 3 (train): Batch 745 (has 450 samples). Processed 335250 samples. Loss so far: 0.5024. MRR so far: 0.9135 3 (train): Batch 746 (has 450 samples). Processed 335700 samples. Loss so far: 0.5024. MRR so far: 0.9135 3 (train): Batch 747 (has 450 samples). Processed 336150 samples. Loss so far: 0.5025. MRR so far: 0.9135 3 (train): Batch 748 (has 450 samples). Processed 336600 samples. Loss so far: 0.5026. MRR so far: 0.9135 3 (train): Batch 749 (has 450 samples). Processed 337050 samples. Loss so far: 0.5025. MRR so far: 0.9135 3 (train): Batch 750 (has 450 samples). Processed 337500 samples. Loss so far: 0.5026. MRR so far: 0.9135 3 (train): Batch 751 (has 450 samples). Processed 337950 samples. Loss so far: 0.5028. MRR so far: 0.9135 3 (train): Batch 752 (has 450 samples). Processed 338400 samples. Loss so far: 0.5027. MRR so far: 0.9135 3 (train): Batch 753 (has 450 samples). Processed 338850 samples. Loss so far: 0.5027. MRR so far: 0.9135 3 (train): Batch 754 (has 450 samples). Processed 339300 samples. Loss so far: 0.5027. MRR so far: 0.9135 3 (train): Batch 755 (has 450 samples). Processed 339750 samples. Loss so far: 0.5027. MRR so far: 0.9135 3 (train): Batch 756 (has 450 samples). Processed 340200 samples. Loss so far: 0.5028. MRR so far: 0.9134 3 (train): Batch 757 (has 450 samples). Processed 340650 samples. Loss so far: 0.5028. MRR so far: 0.9134 3 (train): Batch 758 (has 450 samples). Processed 341100 samples. Loss so far: 0.5028. MRR so far: 0.9134 3 (train): Batch 759 (has 450 samples). Processed 341550 samples. Loss so far: 0.5029. MRR so far: 0.9134 3 (train): Batch 760 (has 450 samples). Processed 342000 samples. Loss so far: 0.5029. MRR so far: 0.9134 3 (train): Batch 761 (has 450 samples). Processed 342450 samples. Loss so far: 0.5029. MRR so far: 0.9134 3 (train): Batch 762 (has 450 samples). Processed 342900 samples. Loss so far: 0.5029. MRR so far: 0.9134 3 (train): Batch 763 (has 450 samples). Processed 343350 samples. Loss so far: 0.5030. MRR so far: 0.9134 3 (train): Batch 764 (has 450 samples). Processed 343800 samples. Loss so far: 0.5029. MRR so far: 0.9134 3 (train): Batch 765 (has 450 samples). Processed 344250 samples. Loss so far: 0.5030. MRR so far: 0.9134 3 (train): Batch 766 (has 450 samples). Processed 344700 samples. Loss so far: 0.5029. MRR so far: 0.9134 3 (train): Batch 767 (has 450 samples). Processed 345150 samples. Loss so far: 0.5031. MRR so far: 0.9133 3 (train): Batch 768 (has 450 samples). Processed 345600 samples. Loss so far: 0.5031. MRR so far: 0.9133 3 (train): Batch 769 (has 450 samples). Processed 346050 samples. Loss so far: 0.5031. MRR so far: 0.9133 3 (train): Batch 770 (has 450 samples). Processed 346500 samples. Loss so far: 0.5031. MRR so far: 0.9133 3 (train): Batch 771 (has 450 samples). Processed 346950 samples. Loss so far: 0.5033. MRR so far: 0.9133 3 (train): Batch 772 (has 450 samples). Processed 347400 samples. Loss so far: 0.5034. MRR so far: 0.9133 3 (train): Batch 773 (has 450 samples). Processed 347850 samples. Loss so far: 0.5034. MRR so far: 0.9133 3 (train): Batch 774 (has 450 samples). Processed 348300 samples. Loss so far: 0.5034. MRR so far: 0.9133 3 (train): Batch 775 (has 450 samples). Processed 348750 samples. Loss so far: 0.5035. MRR so far: 0.9132 3 (train): Batch 776 (has 450 samples). Processed 349200 samples. Loss so far: 0.5034. MRR so far: 0.9133 3 (train): Batch 777 (has 450 samples). Processed 349650 samples. Loss so far: 0.5033. MRR so far: 0.9133 3 (train): Batch 778 (has 450 samples). Processed 350100 samples. Loss so far: 0.5034. MRR so far: 0.9133 3 (train): Batch 779 (has 450 samples). Processed 350550 samples. Loss so far: 0.5034. MRR so far: 0.9133 3 (train): Batch 780 (has 450 samples). Processed 351000 samples. Loss so far: 0.5035. MRR so far: 0.9133 3 (train): Batch 781 (has 450 samples). Processed 351450 samples. Loss so far: 0.5036. MRR so far: 0.9132 3 (train): Batch 782 (has 450 samples). Processed 351900 samples. Loss so far: 0.5037. MRR so far: 0.9132 3 (train): Batch 783 (has 450 samples). Processed 352350 samples. Loss so far: 0.5039. MRR so far: 0.9132 3 (train): Batch 784 (has 450 samples). Processed 352800 samples. Loss so far: 0.5040. MRR so far: 0.9132 3 (train): Batch 785 (has 450 samples). Processed 353250 samples. Loss so far: 0.5041. MRR so far: 0.9132 3 (train): Batch 786 (has 450 samples). Processed 353700 samples. Loss so far: 0.5042. MRR so far: 0.9131 3 (train): Batch 787 (has 450 samples). Processed 354150 samples. Loss so far: 0.5041. MRR so far: 0.9132 3 (train): Batch 788 (has 450 samples). Processed 354600 samples. Loss so far: 0.5043. MRR so far: 0.9131 3 (train): Batch 789 (has 450 samples). Processed 355050 samples. Loss so far: 0.5043. MRR so far: 0.9131 3 (train): Batch 790 (has 450 samples). Processed 355500 samples. Loss so far: 0.5043. MRR so far: 0.9131 3 (train): Batch 791 (has 450 samples). Processed 355950 samples. Loss so far: 0.5043. MRR so far: 0.9131 3 (train): Batch 792 (has 450 samples). Processed 356400 samples. Loss so far: 0.5042. MRR so far: 0.9131 3 (train): Batch 793 (has 450 samples). Processed 356850 samples. Loss so far: 0.5043. MRR so far: 0.9131 3 (train): Batch 794 (has 450 samples). Processed 357300 samples. Loss so far: 0.5047. MRR so far: 0.9130 3 (train): Batch 795 (has 450 samples). Processed 357750 samples. Loss so far: 0.5048. MRR so far: 0.9130 3 (train): Batch 796 (has 450 samples). Processed 358200 samples. Loss so far: 0.5048. MRR so far: 0.9130 3 (train): Batch 797 (has 450 samples). Processed 358650 samples. Loss so far: 0.5047. MRR so far: 0.9130 3 (train): Batch 798 (has 450 samples). Processed 359100 samples. Loss so far: 0.5048. MRR so far: 0.9130 3 (train): Batch 799 (has 450 samples). Processed 359550 samples. Loss so far: 0.5048. MRR so far: 0.9130 3 (train): Batch 800 (has 450 samples). Processed 360000 samples. Loss so far: 0.5049. MRR so far: 0.9130 3 (train): Batch 801 (has 450 samples). Processed 360450 samples. Loss so far: 0.5049. MRR so far: 0.9130 3 (train): Batch 802 (has 450 samples). Processed 360900 samples. Loss so far: 0.5051. 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MRR so far: 0.9129 3 (train): Batch 812 (has 450 samples). Processed 365400 samples. Loss so far: 0.5054. MRR so far: 0.9129 3 (train): Batch 813 (has 450 samples). Processed 365850 samples. Loss so far: 0.5055. MRR so far: 0.9129 3 (train): Batch 814 (has 450 samples). Processed 366300 samples. Loss so far: 0.5054. MRR so far: 0.9129 3 (train): Batch 815 (has 450 samples). Processed 366750 samples. Loss so far: 0.5056. MRR so far: 0.9129 3 (train): Batch 816 (has 450 samples). Processed 367200 samples. Loss so far: 0.5057. MRR so far: 0.9129 3 (train): Batch 817 (has 450 samples). Processed 367650 samples. Loss so far: 0.5058. MRR so far: 0.9129 3 (train): Batch 818 (has 450 samples). Processed 368100 samples. Loss so far: 0.5059. MRR so far: 0.9128 3 (train): Batch 819 (has 450 samples). Processed 368550 samples. Loss so far: 0.5060. MRR so far: 0.9128 3 (train): Batch 820 (has 450 samples). Processed 369000 samples. Loss so far: 0.5060. 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MRR so far: 0.9127 3 (train): Batch 839 (has 450 samples). Processed 377550 samples. Loss so far: 0.5072. MRR so far: 0.9126 3 (train): Batch 840 (has 450 samples). Processed 378000 samples. Loss so far: 0.5072. MRR so far: 0.9126 3 (train): Batch 841 (has 450 samples). Processed 378450 samples. Loss so far: 0.5073. MRR so far: 0.9126 3 (train): Batch 842 (has 450 samples). Processed 378900 samples. Loss so far: 0.5075. MRR so far: 0.9126 3 (train): Batch 843 (has 450 samples). Processed 379350 samples. Loss so far: 0.5075. MRR so far: 0.9126 3 (train): Batch 844 (has 450 samples). Processed 379800 samples. Loss so far: 0.5075. MRR so far: 0.9126 3 (train): Batch 845 (has 450 samples). Processed 380250 samples. Loss so far: 0.5074. MRR so far: 0.9126 3 (train): Batch 846 (has 450 samples). Processed 380700 samples. Loss so far: 0.5076. MRR so far: 0.9126 3 (train): Batch 847 (has 450 samples). Processed 381150 samples. Loss so far: 0.5077. 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MRR so far: 0.9124 3 (train): Batch 857 (has 450 samples). Processed 385650 samples. Loss so far: 0.5084. MRR so far: 0.9124 3 (train): Batch 858 (has 450 samples). Processed 386100 samples. Loss so far: 0.5085. MRR so far: 0.9124 3 (train): Batch 859 (has 450 samples). Processed 386550 samples. Loss so far: 0.5085. MRR so far: 0.9124 3 (train): Batch 860 (has 450 samples). Processed 387000 samples. Loss so far: 0.5086. MRR so far: 0.9124 3 (train): Batch 861 (has 450 samples). Processed 387450 samples. Loss so far: 0.5087. MRR so far: 0.9124 3 (train): Batch 862 (has 450 samples). Processed 387900 samples. Loss so far: 0.5087. MRR so far: 0.9124 3 (train): Batch 863 (has 450 samples). Processed 388350 samples. Loss so far: 0.5087. MRR so far: 0.9124 3 (train): Batch 864 (has 450 samples). Processed 388800 samples. Loss so far: 0.5087. MRR so far: 0.9124 3 (train): Batch 865 (has 450 samples). Processed 389250 samples. Loss so far: 0.5087. MRR so far: 0.9124 3 (train): Batch 866 (has 450 samples). Processed 389700 samples. Loss so far: 0.5087. MRR so far: 0.9124 3 (train): Batch 867 (has 450 samples). Processed 390150 samples. Loss so far: 0.5087. MRR so far: 0.9124 3 (train): Batch 868 (has 450 samples). Processed 390600 samples. Loss so far: 0.5087. MRR so far: 0.9124 3 (train): Batch 869 (has 450 samples). Processed 391050 samples. Loss so far: 0.5087. MRR so far: 0.9124 3 (train): Batch 870 (has 450 samples). Processed 391500 samples. Loss so far: 0.5086. MRR so far: 0.9124 3 (train): Batch 871 (has 450 samples). Processed 391950 samples. Loss so far: 0.5087. MRR so far: 0.9124 3 (train): Batch 872 (has 450 samples). Processed 392400 samples. Loss so far: 0.5089. MRR so far: 0.9124 3 (train): Batch 873 (has 450 samples). Processed 392850 samples. Loss so far: 0.5089. MRR so far: 0.9123 3 (train): Batch 874 (has 450 samples). Processed 393300 samples. Loss so far: 0.5090. MRR so far: 0.9123 3 (train): Batch 875 (has 450 samples). Processed 393750 samples. Loss so far: 0.5092. MRR so far: 0.9123 3 (train): Batch 876 (has 450 samples). Processed 394200 samples. Loss so far: 0.5091. MRR so far: 0.9123 3 (train): Batch 877 (has 450 samples). Processed 394650 samples. Loss so far: 0.5091. MRR so far: 0.9123 3 (train): Batch 878 (has 450 samples). Processed 395100 samples. Loss so far: 0.5092. MRR so far: 0.9123 3 (train): Batch 879 (has 450 samples). Processed 395550 samples. Loss so far: 0.5092. MRR so far: 0.9123 3 (train): Batch 880 (has 450 samples). Processed 396000 samples. Loss so far: 0.5093. MRR so far: 0.9123 3 (train): Batch 881 (has 450 samples). Processed 396450 samples. Loss so far: 0.5093. MRR so far: 0.9122 3 (train): Batch 882 (has 450 samples). Processed 396900 samples. Loss so far: 0.5094. MRR so far: 0.9122 3 (train): Batch 883 (has 450 samples). Processed 397350 samples. Loss so far: 0.5095. MRR so far: 0.9122 3 (train): Batch 884 (has 450 samples). Processed 397800 samples. Loss so far: 0.5096. MRR so far: 0.9122 3 (train): Batch 885 (has 450 samples). Processed 398250 samples. Loss so far: 0.5095. MRR so far: 0.9122 3 (train): Batch 886 (has 450 samples). Processed 398700 samples. Loss so far: 0.5097. MRR so far: 0.9122 3 (train): Batch 887 (has 450 samples). Processed 399150 samples. Loss so far: 0.5097. MRR so far: 0.9122 3 (train): Batch 888 (has 450 samples). Processed 399600 samples. Loss so far: 0.5098. MRR so far: 0.9121 3 (train): Batch 889 (has 450 samples). Processed 400050 samples. Loss so far: 0.5098. MRR so far: 0.9121 3 (train): Batch 890 (has 450 samples). Processed 400500 samples. Loss so far: 0.5099. MRR so far: 0.9121 3 (train): Batch 891 (has 450 samples). Processed 400950 samples. Loss so far: 0.5099. MRR so far: 0.9121 3 (train): Batch 892 (has 450 samples). Processed 401400 samples. Loss so far: 0.5099. MRR so far: 0.9121 3 (train): Batch 893 (has 450 samples). Processed 401850 samples. Loss so far: 0.5099. MRR so far: 0.9121 3 (train): Batch 894 (has 450 samples). Processed 402300 samples. Loss so far: 0.5100. MRR so far: 0.9121 3 (train): Batch 895 (has 450 samples). Processed 402750 samples. Loss so far: 0.5100. MRR so far: 0.9121 3 (train): Batch 896 (has 450 samples). Processed 403200 samples. Loss so far: 0.5100. MRR so far: 0.9121 3 (train): Batch 897 (has 450 samples). Processed 403650 samples. Loss so far: 0.5101. MRR so far: 0.9120 3 (train): Batch 898 (has 450 samples). Processed 404100 samples. Loss so far: 0.5102. MRR so far: 0.9120 3 (train): Batch 899 (has 450 samples). Processed 404550 samples. Loss so far: 0.5104. MRR so far: 0.9120 3 (train): Batch 900 (has 450 samples). Processed 405000 samples. Loss so far: 0.5105. MRR so far: 0.9120 3 (train): Batch 901 (has 450 samples). Processed 405450 samples. Loss so far: 0.5105. MRR so far: 0.9120 3 (train): Batch 902 (has 450 samples). Processed 405900 samples. Loss so far: 0.5107. MRR so far: 0.9119 3 (train): Batch 903 (has 450 samples). Processed 406350 samples. Loss so far: 0.5107. MRR so far: 0.9119 3 (train): Batch 904 (has 450 samples). Processed 406800 samples. Loss so far: 0.5107. MRR so far: 0.9119 3 (train): Batch 905 (has 450 samples). Processed 407250 samples. Loss so far: 0.5109. MRR so far: 0.9119 3 (train): Batch 906 (has 450 samples). Processed 407700 samples. Loss so far: 0.5110. MRR so far: 0.9119 3 (train): Batch 907 (has 450 samples). Processed 408150 samples. Loss so far: 0.5110. MRR so far: 0.9118 3 (train): Batch 908 (has 450 samples). Processed 408600 samples. Loss so far: 0.5111. MRR so far: 0.9118 3 (train): Batch 909 (has 450 samples). Processed 409050 samples. Loss so far: 0.5111. MRR so far: 0.9118 3 (train): Batch 910 (has 450 samples). Processed 409500 samples. Loss so far: 0.5112. MRR so far: 0.9118 3 (train): Batch 911 (has 450 samples). Processed 409950 samples. Loss so far: 0.5112. MRR so far: 0.9118 3 (train): Batch 912 (has 450 samples). Processed 410400 samples. Loss so far: 0.5113. MRR so far: 0.9118 3 (train): Batch 913 (has 450 samples). Processed 410850 samples. Loss so far: 0.5114. MRR so far: 0.9118 3 (train): Batch 914 (has 450 samples). Processed 411300 samples. Loss so far: 0.5114. MRR so far: 0.9118  Epoch 3 (train) took 9128.70s [processed 45 samples/second] + Training Loss: 0.511398 +3 (valid): Batch 0 (has 450 samples). Processed 0 samples. Loss so far: 0.0000. MRR so far: 0.0000 3 (valid): Batch 1 (has 450 samples). Processed 450 samples. Loss so far: 2.8901. MRR so far: 0.5454 3 (valid): Batch 2 (has 450 samples). Processed 900 samples. Loss so far: 2.6618. MRR so far: 0.5784 3 (valid): Batch 3 (has 450 samples). Processed 1350 samples. Loss so far: 2.5659. MRR so far: 0.5941 3 (valid): Batch 4 (has 450 samples). Processed 1800 samples. Loss so far: 2.5080. MRR so far: 0.5997 3 (valid): Batch 5 (has 450 samples). Processed 2250 samples. Loss so far: 2.4532. MRR so far: 0.6090 3 (valid): Batch 6 (has 450 samples). Processed 2700 samples. Loss so far: 2.3956. MRR so far: 0.6197 3 (valid): Batch 7 (has 450 samples). Processed 3150 samples. Loss so far: 2.3615. MRR so far: 0.6257 3 (valid): Batch 8 (has 450 samples). Processed 3600 samples. Loss so far: 2.3065. MRR so far: 0.6348 3 (valid): Batch 9 (has 450 samples). Processed 4050 samples. Loss so far: 2.2590. MRR so far: 0.6434 3 (valid): Batch 10 (has 450 samples). Processed 4500 samples. Loss so far: 2.2051. MRR so far: 0.6526 3 (valid): Batch 11 (has 450 samples). Processed 4950 samples. Loss so far: 2.1850. MRR so far: 0.6572 3 (valid): Batch 12 (has 450 samples). Processed 5400 samples. Loss so far: 2.1599. MRR so far: 0.6621 3 (valid): Batch 13 (has 450 samples). Processed 5850 samples. Loss so far: 2.1490. MRR so far: 0.6647 3 (valid): Batch 14 (has 450 samples). Processed 6300 samples. Loss so far: 2.1253. MRR so far: 0.6674 3 (valid): Batch 15 (has 450 samples). Processed 6750 samples. Loss so far: 2.1016. MRR so far: 0.6710 3 (valid): Batch 16 (has 450 samples). Processed 7200 samples. Loss so far: 2.0766. MRR so far: 0.6740 3 (valid): Batch 17 (has 450 samples). Processed 7650 samples. Loss so far: 2.0568. MRR so far: 0.6771 3 (valid): Batch 18 (has 450 samples). Processed 8100 samples. Loss so far: 2.0341. MRR so far: 0.6808 3 (valid): Batch 19 (has 450 samples). Processed 8550 samples. Loss so far: 2.0129. MRR so far: 0.6835 3 (valid): Batch 20 (has 450 samples). Processed 9000 samples. Loss so far: 1.9937. MRR so far: 0.6858 3 (valid): Batch 21 (has 450 samples). Processed 9450 samples. Loss so far: 1.9795. MRR so far: 0.6887 3 (valid): Batch 22 (has 450 samples). Processed 9900 samples. Loss so far: 1.9596. MRR so far: 0.6919 3 (valid): Batch 23 (has 450 samples). Processed 10350 samples. Loss so far: 1.9444. MRR so far: 0.6942 3 (valid): Batch 24 (has 450 samples). Processed 10800 samples. Loss so far: 1.9339. MRR so far: 0.6955 3 (valid): Batch 25 (has 450 samples). Processed 11250 samples. Loss so far: 1.9255. MRR so far: 0.6975 3 (valid): Batch 26 (has 450 samples). Processed 11700 samples. Loss so far: 1.9077. MRR so far: 0.6998 3 (valid): Batch 27 (has 450 samples). Processed 12150 samples. Loss so far: 1.8903. MRR so far: 0.7028 3 (valid): Batch 28 (has 450 samples). Processed 12600 samples. Loss so far: 1.8836. MRR so far: 0.7041 3 (valid): Batch 29 (has 450 samples). Processed 13050 samples. Loss so far: 1.8781. MRR so far: 0.7053 3 (valid): Batch 30 (has 450 samples). Processed 13500 samples. Loss so far: 1.8656. MRR so far: 0.7069 3 (valid): Batch 31 (has 450 samples). Processed 13950 samples. Loss so far: 1.8514. MRR so far: 0.7088 3 (valid): Batch 32 (has 450 samples). Processed 14400 samples. Loss so far: 1.8469. MRR so far: 0.7100 3 (valid): Batch 33 (has 450 samples). Processed 14850 samples. Loss so far: 1.8458. MRR so far: 0.7108 3 (valid): Batch 34 (has 450 samples). Processed 15300 samples. Loss so far: 1.8406. MRR so far: 0.7123 3 (valid): Batch 35 (has 450 samples). Processed 15750 samples. Loss so far: 1.8356. MRR so far: 0.7131 3 (valid): Batch 36 (has 450 samples). Processed 16200 samples. Loss so far: 1.8386. MRR so far: 0.7130 3 (valid): Batch 37 (has 450 samples). Processed 16650 samples. Loss so far: 1.8319. MRR so far: 0.7140 3 (valid): Batch 38 (has 450 samples). Processed 17100 samples. Loss so far: 1.8243. MRR so far: 0.7151 3 (valid): Batch 39 (has 450 samples). Processed 17550 samples. Loss so far: 1.8255. MRR so far: 0.7154 3 (valid): Batch 40 (has 450 samples). Processed 18000 samples. Loss so far: 1.8248. MRR so far: 0.7158 3 (valid): Batch 41 (has 450 samples). Processed 18450 samples. Loss so far: 1.8162. MRR so far: 0.7170 3 (valid): Batch 42 (has 450 samples). Processed 18900 samples. Loss so far: 1.8225. MRR so far: 0.7166 3 (valid): Batch 43 (has 450 samples). Processed 19350 samples. Loss so far: 1.8195. MRR so far: 0.7171 3 (valid): Batch 44 (has 450 samples). Processed 19800 samples. Loss so far: 1.8200. MRR so far: 0.7174 3 (valid): Batch 45 (has 450 samples). Processed 20250 samples. Loss so far: 1.8210. MRR so far: 0.7179 3 (valid): Batch 46 (has 450 samples). Processed 20700 samples. Loss so far: 1.8159. MRR so far: 0.7182 3 (valid): Batch 47 (has 450 samples). Processed 21150 samples. Loss so far: 1.8123. MRR so far: 0.7188 3 (valid): Batch 48 (has 450 samples). Processed 21600 samples. Loss so far: 1.8140. MRR so far: 0.7188 3 (valid): Batch 49 (has 450 samples). Processed 22050 samples. Loss so far: 1.8159. MRR so far: 0.7188 3 (valid): Batch 50 (has 450 samples). Processed 22500 samples. Loss so far: 1.8184. MRR so far: 0.7183  Epoch 3 (valid) took 195.04s [processed 117 samples/second] + Validation: Loss: 1.818341 | MRR: 0.718600 + Best result so far -- saved model as '/network/home/jangeunb/CodeSearchNet/resources/saved_models/SelfAttentionModel-2020-04-17-22-39-10_model_best.pkl.gz'. +==== Epoch 4 ==== +4 (train): Batch 0 (has 450 samples). Processed 0 samples. Loss so far: 0.0000. MRR so far: 0.0000 4 (train): Batch 1 (has 450 samples). Processed 450 samples. Loss so far: 0.4466. MRR so far: 0.9217 4 (train): Batch 2 (has 450 samples). Processed 900 samples. Loss so far: 0.3894. MRR so far: 0.9334 4 (train): Batch 3 (has 450 samples). Processed 1350 samples. Loss so far: 0.3857. MRR so far: 0.9332 4 (train): Batch 4 (has 450 samples). Processed 1800 samples. Loss so far: 0.3698. MRR so far: 0.9374 4 (train): Batch 5 (has 450 samples). Processed 2250 samples. Loss so far: 0.3639. MRR so far: 0.9379 4 (train): Batch 6 (has 450 samples). Processed 2700 samples. Loss so far: 0.3642. MRR so far: 0.9385 4 (train): Batch 7 (has 450 samples). Processed 3150 samples. Loss so far: 0.3661. MRR so far: 0.9390 4 (train): Batch 8 (has 450 samples). Processed 3600 samples. Loss so far: 0.3693. MRR so far: 0.9387 4 (train): Batch 9 (has 450 samples). Processed 4050 samples. Loss so far: 0.3750. MRR so far: 0.9373 4 (train): Batch 10 (has 450 samples). Processed 4500 samples. Loss so far: 0.3727. MRR so far: 0.9373 4 (train): Batch 11 (has 450 samples). Processed 4950 samples. Loss so far: 0.3716. MRR so far: 0.9370 4 (train): Batch 12 (has 450 samples). Processed 5400 samples. Loss so far: 0.3727. MRR so far: 0.9364 4 (train): Batch 13 (has 450 samples). Processed 5850 samples. Loss so far: 0.3723. MRR so far: 0.9365 4 (train): Batch 14 (has 450 samples). Processed 6300 samples. Loss so far: 0.3684. MRR so far: 0.9369 4 (train): Batch 15 (has 450 samples). Processed 6750 samples. Loss so far: 0.3634. MRR so far: 0.9380 4 (train): Batch 16 (has 450 samples). Processed 7200 samples. Loss so far: 0.3582. MRR so far: 0.9386 4 (train): Batch 17 (has 450 samples). Processed 7650 samples. Loss so far: 0.3641. MRR so far: 0.9378 4 (train): Batch 18 (has 450 samples). Processed 8100 samples. Loss so far: 0.3692. MRR so far: 0.9371 4 (train): Batch 19 (has 450 samples). Processed 8550 samples. Loss so far: 0.3649. MRR so far: 0.9379 4 (train): Batch 20 (has 450 samples). Processed 9000 samples. Loss so far: 0.3668. MRR so far: 0.9376 4 (train): Batch 21 (has 450 samples). Processed 9450 samples. Loss so far: 0.3652. MRR so far: 0.9380 4 (train): Batch 22 (has 450 samples). Processed 9900 samples. Loss so far: 0.3667. MRR so far: 0.9375 4 (train): Batch 23 (has 450 samples). Processed 10350 samples. Loss so far: 0.3680. MRR so far: 0.9373 4 (train): Batch 24 (has 450 samples). Processed 10800 samples. Loss so far: 0.3665. MRR so far: 0.9376 4 (train): Batch 25 (has 450 samples). Processed 11250 samples. Loss so far: 0.3682. MRR so far: 0.9370 4 (train): Batch 26 (has 450 samples). Processed 11700 samples. Loss so far: 0.3670. MRR so far: 0.9375 4 (train): Batch 27 (has 450 samples). Processed 12150 samples. Loss so far: 0.3673. MRR so far: 0.9374 4 (train): Batch 28 (has 450 samples). Processed 12600 samples. Loss so far: 0.3682. MRR so far: 0.9374 4 (train): Batch 29 (has 450 samples). Processed 13050 samples. Loss so far: 0.3683. MRR so far: 0.9374 4 (train): Batch 30 (has 450 samples). Processed 13500 samples. Loss so far: 0.3677. MRR so far: 0.9376 4 (train): Batch 31 (has 450 samples). Processed 13950 samples. Loss so far: 0.3716. MRR so far: 0.9373 4 (train): Batch 32 (has 450 samples). Processed 14400 samples. Loss so far: 0.3724. MRR so far: 0.9372 4 (train): Batch 33 (has 450 samples). Processed 14850 samples. Loss so far: 0.3707. MRR so far: 0.9374 4 (train): Batch 34 (has 450 samples). Processed 15300 samples. Loss so far: 0.3689. MRR so far: 0.9375 4 (train): Batch 35 (has 450 samples). Processed 15750 samples. Loss so far: 0.3693. MRR so far: 0.9377 4 (train): Batch 36 (has 450 samples). Processed 16200 samples. Loss so far: 0.3688. MRR so far: 0.9379 4 (train): Batch 37 (has 450 samples). Processed 16650 samples. Loss so far: 0.3670. MRR so far: 0.9383 4 (train): Batch 38 (has 450 samples). Processed 17100 samples. Loss so far: 0.3660. MRR so far: 0.9384 4 (train): Batch 39 (has 450 samples). Processed 17550 samples. Loss so far: 0.3646. MRR so far: 0.9385 4 (train): Batch 40 (has 450 samples). Processed 18000 samples. Loss so far: 0.3661. MRR so far: 0.9383 4 (train): Batch 41 (has 450 samples). Processed 18450 samples. Loss so far: 0.3678. MRR so far: 0.9378 4 (train): Batch 42 (has 450 samples). Processed 18900 samples. Loss so far: 0.3674. MRR so far: 0.9380 4 (train): Batch 43 (has 450 samples). Processed 19350 samples. Loss so far: 0.3646. MRR so far: 0.9384 4 (train): Batch 44 (has 450 samples). Processed 19800 samples. Loss so far: 0.3638. MRR so far: 0.9384 4 (train): Batch 45 (has 450 samples). Processed 20250 samples. Loss so far: 0.3623. MRR so far: 0.9387 4 (train): Batch 46 (has 450 samples). Processed 20700 samples. Loss so far: 0.3639. MRR so far: 0.9383 4 (train): Batch 47 (has 450 samples). Processed 21150 samples. Loss so far: 0.3626. MRR so far: 0.9385 4 (train): Batch 48 (has 450 samples). Processed 21600 samples. Loss so far: 0.3640. MRR so far: 0.9383 4 (train): Batch 49 (has 450 samples). Processed 22050 samples. Loss so far: 0.3644. MRR so far: 0.9383 4 (train): Batch 50 (has 450 samples). Processed 22500 samples. Loss so far: 0.3652. MRR so far: 0.9381 4 (train): Batch 51 (has 450 samples). Processed 22950 samples. Loss so far: 0.3648. MRR so far: 0.9382 4 (train): Batch 52 (has 450 samples). Processed 23400 samples. Loss so far: 0.3648. MRR so far: 0.9380 4 (train): Batch 53 (has 450 samples). Processed 23850 samples. Loss so far: 0.3657. MRR so far: 0.9380 4 (train): Batch 54 (has 450 samples). 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MRR so far: 0.9274 4 (train): Batch 885 (has 450 samples). Processed 398250 samples. Loss so far: 0.4196. MRR so far: 0.9274 4 (train): Batch 886 (has 450 samples). Processed 398700 samples. Loss so far: 0.4196. MRR so far: 0.9274 4 (train): Batch 887 (has 450 samples). Processed 399150 samples. Loss so far: 0.4197. MRR so far: 0.9273 4 (train): Batch 888 (has 450 samples). Processed 399600 samples. Loss so far: 0.4197. MRR so far: 0.9273 4 (train): Batch 889 (has 450 samples). Processed 400050 samples. Loss so far: 0.4197. MRR so far: 0.9273 4 (train): Batch 890 (has 450 samples). Processed 400500 samples. Loss so far: 0.4197. MRR so far: 0.9273 4 (train): Batch 891 (has 450 samples). Processed 400950 samples. Loss so far: 0.4197. MRR so far: 0.9273 4 (train): Batch 892 (has 450 samples). Processed 401400 samples. Loss so far: 0.4198. MRR so far: 0.9273 4 (train): Batch 893 (has 450 samples). Processed 401850 samples. Loss so far: 0.4198. MRR so far: 0.9273 4 (train): Batch 894 (has 450 samples). Processed 402300 samples. Loss so far: 0.4199. MRR so far: 0.9273 4 (train): Batch 895 (has 450 samples). Processed 402750 samples. Loss so far: 0.4200. MRR so far: 0.9273 4 (train): Batch 896 (has 450 samples). Processed 403200 samples. Loss so far: 0.4201. MRR so far: 0.9273 4 (train): Batch 897 (has 450 samples). Processed 403650 samples. Loss so far: 0.4203. MRR so far: 0.9272 4 (train): Batch 898 (has 450 samples). Processed 404100 samples. Loss so far: 0.4203. MRR so far: 0.9272 4 (train): Batch 899 (has 450 samples). Processed 404550 samples. Loss so far: 0.4203. MRR so far: 0.9272 4 (train): Batch 900 (has 450 samples). Processed 405000 samples. Loss so far: 0.4204. MRR so far: 0.9272 4 (train): Batch 901 (has 450 samples). Processed 405450 samples. Loss so far: 0.4206. MRR so far: 0.9272 4 (train): Batch 902 (has 450 samples). Processed 405900 samples. Loss so far: 0.4205. MRR so far: 0.9272 4 (train): Batch 903 (has 450 samples). Processed 406350 samples. Loss so far: 0.4205. MRR so far: 0.9272 4 (train): Batch 904 (has 450 samples). Processed 406800 samples. Loss so far: 0.4205. MRR so far: 0.9272 4 (train): Batch 905 (has 450 samples). Processed 407250 samples. Loss so far: 0.4205. MRR so far: 0.9272 4 (train): Batch 906 (has 450 samples). Processed 407700 samples. Loss so far: 0.4206. MRR so far: 0.9272 4 (train): Batch 907 (has 450 samples). Processed 408150 samples. Loss so far: 0.4206. MRR so far: 0.9272 4 (train): Batch 908 (has 450 samples). Processed 408600 samples. Loss so far: 0.4206. MRR so far: 0.9271 4 (train): Batch 909 (has 450 samples). Processed 409050 samples. Loss so far: 0.4206. MRR so far: 0.9271 4 (train): Batch 910 (has 450 samples). Processed 409500 samples. Loss so far: 0.4207. MRR so far: 0.9271 4 (train): Batch 911 (has 450 samples). Processed 409950 samples. Loss so far: 0.4207. MRR so far: 0.9271 4 (train): Batch 912 (has 450 samples). Processed 410400 samples. Loss so far: 0.4208. MRR so far: 0.9271 4 (train): Batch 913 (has 450 samples). Processed 410850 samples. Loss so far: 0.4209. MRR so far: 0.9271 4 (train): Batch 914 (has 450 samples). Processed 411300 samples. Loss so far: 0.4210. MRR so far: 0.9271  Epoch 4 (train) took 9144.29s [processed 45 samples/second] + Training Loss: 0.421009 +4 (valid): Batch 0 (has 450 samples). Processed 0 samples. Loss so far: 0.0000. MRR so far: 0.0000 4 (valid): Batch 1 (has 450 samples). Processed 450 samples. Loss so far: 2.9356. MRR so far: 0.5216 4 (valid): Batch 2 (has 450 samples). Processed 900 samples. Loss so far: 2.6969. MRR so far: 0.5575 4 (valid): Batch 3 (has 450 samples). Processed 1350 samples. Loss so far: 2.5901. MRR so far: 0.5797 4 (valid): Batch 4 (has 450 samples). Processed 1800 samples. Loss so far: 2.5493. MRR so far: 0.5904 4 (valid): Batch 5 (has 450 samples). Processed 2250 samples. Loss so far: 2.4915. MRR so far: 0.6047 4 (valid): Batch 6 (has 450 samples). Processed 2700 samples. Loss so far: 2.4351. MRR so far: 0.6166 4 (valid): Batch 7 (has 450 samples). Processed 3150 samples. Loss so far: 2.3941. MRR so far: 0.6256 4 (valid): Batch 8 (has 450 samples). Processed 3600 samples. Loss so far: 2.3480. MRR so far: 0.6343 4 (valid): Batch 9 (has 450 samples). Processed 4050 samples. Loss so far: 2.3060. MRR so far: 0.6424 4 (valid): Batch 10 (has 450 samples). Processed 4500 samples. Loss so far: 2.2410. MRR so far: 0.6513 4 (valid): Batch 11 (has 450 samples). Processed 4950 samples. Loss so far: 2.2192. MRR so far: 0.6563 4 (valid): Batch 12 (has 450 samples). Processed 5400 samples. Loss so far: 2.1870. MRR so far: 0.6615 4 (valid): Batch 13 (has 450 samples). Processed 5850 samples. Loss so far: 2.1806. MRR so far: 0.6644 4 (valid): Batch 14 (has 450 samples). Processed 6300 samples. Loss so far: 2.1637. MRR so far: 0.6666 4 (valid): Batch 15 (has 450 samples). Processed 6750 samples. Loss so far: 2.1369. MRR so far: 0.6709 4 (valid): Batch 16 (has 450 samples). Processed 7200 samples. Loss so far: 2.1147. MRR so far: 0.6740 4 (valid): Batch 17 (has 450 samples). Processed 7650 samples. Loss so far: 2.0954. MRR so far: 0.6762 4 (valid): Batch 18 (has 450 samples). Processed 8100 samples. Loss so far: 2.0735. MRR so far: 0.6802 4 (valid): Batch 19 (has 450 samples). Processed 8550 samples. Loss so far: 2.0598. MRR so far: 0.6827 4 (valid): Batch 20 (has 450 samples). Processed 9000 samples. Loss so far: 2.0403. MRR so far: 0.6854 4 (valid): Batch 21 (has 450 samples). Processed 9450 samples. Loss so far: 2.0212. MRR so far: 0.6883 4 (valid): Batch 22 (has 450 samples). Processed 9900 samples. Loss so far: 2.0029. MRR so far: 0.6917 4 (valid): Batch 23 (has 450 samples). Processed 10350 samples. Loss so far: 1.9869. MRR so far: 0.6943 4 (valid): Batch 24 (has 450 samples). Processed 10800 samples. Loss so far: 1.9752. MRR so far: 0.6961 4 (valid): Batch 25 (has 450 samples). Processed 11250 samples. Loss so far: 1.9665. MRR so far: 0.6981 4 (valid): Batch 26 (has 450 samples). Processed 11700 samples. Loss so far: 1.9480. MRR so far: 0.7005 4 (valid): Batch 27 (has 450 samples). Processed 12150 samples. Loss so far: 1.9285. MRR so far: 0.7034 4 (valid): Batch 28 (has 450 samples). Processed 12600 samples. Loss so far: 1.9217. MRR so far: 0.7047 4 (valid): Batch 29 (has 450 samples). Processed 13050 samples. Loss so far: 1.9179. MRR so far: 0.7058 4 (valid): Batch 30 (has 450 samples). Processed 13500 samples. Loss so far: 1.9090. MRR so far: 0.7074 4 (valid): Batch 31 (has 450 samples). Processed 13950 samples. Loss so far: 1.8942. MRR so far: 0.7099 4 (valid): Batch 32 (has 450 samples). Processed 14400 samples. Loss so far: 1.8899. MRR so far: 0.7108 4 (valid): Batch 33 (has 450 samples). Processed 14850 samples. Loss so far: 1.8868. MRR so far: 0.7121 4 (valid): Batch 34 (has 450 samples). Processed 15300 samples. Loss so far: 1.8773. MRR so far: 0.7139 4 (valid): Batch 35 (has 450 samples). Processed 15750 samples. Loss so far: 1.8700. MRR so far: 0.7151 4 (valid): Batch 36 (has 450 samples). Processed 16200 samples. Loss so far: 1.8718. MRR so far: 0.7149 4 (valid): Batch 37 (has 450 samples). Processed 16650 samples. Loss so far: 1.8656. MRR so far: 0.7160 4 (valid): Batch 38 (has 450 samples). Processed 17100 samples. Loss so far: 1.8613. MRR so far: 0.7165 4 (valid): Batch 39 (has 450 samples). Processed 17550 samples. Loss so far: 1.8646. MRR so far: 0.7166 4 (valid): Batch 40 (has 450 samples). Processed 18000 samples. Loss so far: 1.8672. MRR so far: 0.7168 4 (valid): Batch 41 (has 450 samples). Processed 18450 samples. Loss so far: 1.8582. MRR so far: 0.7181 4 (valid): Batch 42 (has 450 samples). Processed 18900 samples. Loss so far: 1.8647. MRR so far: 0.7177 4 (valid): Batch 43 (has 450 samples). Processed 19350 samples. Loss so far: 1.8625. MRR so far: 0.7181 4 (valid): Batch 44 (has 450 samples). Processed 19800 samples. Loss so far: 1.8596. MRR so far: 0.7186 4 (valid): Batch 45 (has 450 samples). Processed 20250 samples. Loss so far: 1.8609. MRR so far: 0.7189 4 (valid): Batch 46 (has 450 samples). Processed 20700 samples. Loss so far: 1.8570. MRR so far: 0.7193 4 (valid): Batch 47 (has 450 samples). Processed 21150 samples. Loss so far: 1.8535. MRR so far: 0.7196 4 (valid): Batch 48 (has 450 samples). Processed 21600 samples. Loss so far: 1.8566. MRR so far: 0.7191 4 (valid): Batch 49 (has 450 samples). Processed 22050 samples. Loss so far: 1.8599. MRR so far: 0.7190 4 (valid): Batch 50 (has 450 samples). Processed 22500 samples. Loss so far: 1.8622. MRR so far: 0.7188  Epoch 4 (valid) took 196.34s [processed 116 samples/second] + Validation: Loss: 1.861218 | MRR: 0.719086 + Best result so far -- saved model as '/network/home/jangeunb/CodeSearchNet/resources/saved_models/SelfAttentionModel-2020-04-17-22-39-10_model_best.pkl.gz'. +==== Epoch 5 ==== +5 (train): Batch 0 (has 450 samples). Processed 0 samples. Loss so far: 0.0000. MRR so far: 0.0000 5 (train): Batch 1 (has 450 samples). Processed 450 samples. Loss so far: 0.2876. MRR so far: 0.9532 5 (train): Batch 2 (has 450 samples). Processed 900 samples. Loss so far: 0.2853. MRR so far: 0.9518 5 (train): Batch 3 (has 450 samples). Processed 1350 samples. Loss so far: 0.2836. MRR so far: 0.9529 5 (train): Batch 4 (has 450 samples). Processed 1800 samples. Loss so far: 0.2884. MRR so far: 0.9514 5 (train): Batch 5 (has 450 samples). Processed 2250 samples. Loss so far: 0.2894. MRR so far: 0.9519 5 (train): Batch 6 (has 450 samples). Processed 2700 samples. Loss so far: 0.3106. MRR so far: 0.9464 5 (train): Batch 7 (has 450 samples). Processed 3150 samples. Loss so far: 0.3116. MRR so far: 0.9465 5 (train): Batch 8 (has 450 samples). Processed 3600 samples. Loss so far: 0.3191. MRR so far: 0.9458 5 (train): Batch 9 (has 450 samples). Processed 4050 samples. Loss so far: 0.3112. MRR so far: 0.9473 5 (train): Batch 10 (has 450 samples). Processed 4500 samples. Loss so far: 0.3127. MRR so far: 0.9470 5 (train): Batch 11 (has 450 samples). Processed 4950 samples. Loss so far: 0.3158. MRR so far: 0.9459 5 (train): Batch 12 (has 450 samples). Processed 5400 samples. Loss so far: 0.3164. MRR so far: 0.9455 5 (train): Batch 13 (has 450 samples). Processed 5850 samples. Loss so far: 0.3109. MRR so far: 0.9464 5 (train): Batch 14 (has 450 samples). Processed 6300 samples. Loss so far: 0.3123. MRR so far: 0.9468 5 (train): Batch 15 (has 450 samples). Processed 6750 samples. Loss so far: 0.3126. MRR so far: 0.9471 5 (train): Batch 16 (has 450 samples). Processed 7200 samples. Loss so far: 0.3156. MRR so far: 0.9471 5 (train): Batch 17 (has 450 samples). Processed 7650 samples. Loss so far: 0.3111. MRR so far: 0.9478 5 (train): Batch 18 (has 450 samples). Processed 8100 samples. Loss so far: 0.3179. MRR so far: 0.9462 5 (train): Batch 19 (has 450 samples). Processed 8550 samples. Loss so far: 0.3171. MRR so far: 0.9461 5 (train): Batch 20 (has 450 samples). Processed 9000 samples. Loss so far: 0.3179. MRR so far: 0.9461 5 (train): Batch 21 (has 450 samples). Processed 9450 samples. Loss so far: 0.3177. MRR so far: 0.9461 5 (train): Batch 22 (has 450 samples). Processed 9900 samples. Loss so far: 0.3175. MRR so far: 0.9458 5 (train): Batch 23 (has 450 samples). Processed 10350 samples. Loss so far: 0.3167. MRR so far: 0.9455 5 (train): Batch 24 (has 450 samples). Processed 10800 samples. Loss so far: 0.3105. MRR so far: 0.9466 5 (train): Batch 25 (has 450 samples). Processed 11250 samples. Loss so far: 0.3109. MRR so far: 0.9464 5 (train): Batch 26 (has 450 samples). Processed 11700 samples. Loss so far: 0.3111. MRR so far: 0.9465 5 (train): Batch 27 (has 450 samples). Processed 12150 samples. Loss so far: 0.3124. MRR so far: 0.9464 5 (train): Batch 28 (has 450 samples). Processed 12600 samples. Loss so far: 0.3126. MRR so far: 0.9461 5 (train): Batch 29 (has 450 samples). Processed 13050 samples. Loss so far: 0.3116. MRR so far: 0.9461 5 (train): Batch 30 (has 450 samples). Processed 13500 samples. Loss so far: 0.3126. MRR so far: 0.9460 5 (train): Batch 31 (has 450 samples). Processed 13950 samples. Loss so far: 0.3157. MRR so far: 0.9455 5 (train): Batch 32 (has 450 samples). Processed 14400 samples. Loss so far: 0.3146. MRR so far: 0.9458 5 (train): Batch 33 (has 450 samples). Processed 14850 samples. Loss so far: 0.3158. MRR so far: 0.9458 5 (train): Batch 34 (has 450 samples). Processed 15300 samples. Loss so far: 0.3137. MRR so far: 0.9459 5 (train): Batch 35 (has 450 samples). Processed 15750 samples. Loss so far: 0.3143. MRR so far: 0.9457 5 (train): Batch 36 (has 450 samples). Processed 16200 samples. Loss so far: 0.3158. MRR so far: 0.9454 5 (train): Batch 37 (has 450 samples). Processed 16650 samples. Loss so far: 0.3144. MRR so far: 0.9458 5 (train): Batch 38 (has 450 samples). Processed 17100 samples. Loss so far: 0.3158. MRR so far: 0.9456 5 (train): Batch 39 (has 450 samples). Processed 17550 samples. Loss so far: 0.3151. MRR so far: 0.9457 5 (train): Batch 40 (has 450 samples). Processed 18000 samples. Loss so far: 0.3141. MRR so far: 0.9458 5 (train): Batch 41 (has 450 samples). Processed 18450 samples. Loss so far: 0.3127. MRR so far: 0.9461 5 (train): Batch 42 (has 450 samples). Processed 18900 samples. Loss so far: 0.3123. MRR so far: 0.9459 5 (train): Batch 43 (has 450 samples). Processed 19350 samples. Loss so far: 0.3113. MRR so far: 0.9460 5 (train): Batch 44 (has 450 samples). Processed 19800 samples. Loss so far: 0.3108. 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MRR so far: 0.9374 5 (train): Batch 732 (has 450 samples). Processed 329400 samples. Loss so far: 0.3579. MRR so far: 0.9374 5 (train): Batch 733 (has 450 samples). Processed 329850 samples. Loss so far: 0.3579. MRR so far: 0.9374 5 (train): Batch 734 (has 450 samples). Processed 330300 samples. Loss so far: 0.3578. MRR so far: 0.9374 5 (train): Batch 735 (has 450 samples). Processed 330750 samples. Loss so far: 0.3581. MRR so far: 0.9374 5 (train): Batch 736 (has 450 samples). Processed 331200 samples. Loss so far: 0.3582. MRR so far: 0.9374 5 (train): Batch 737 (has 450 samples). Processed 331650 samples. Loss so far: 0.3582. MRR so far: 0.9374 5 (train): Batch 738 (has 450 samples). Processed 332100 samples. Loss so far: 0.3582. MRR so far: 0.9374 5 (train): Batch 739 (has 450 samples). Processed 332550 samples. Loss so far: 0.3582. MRR so far: 0.9374 5 (train): Batch 740 (has 450 samples). Processed 333000 samples. Loss so far: 0.3582. 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MRR so far: 0.9373 5 (train): Batch 750 (has 450 samples). Processed 337500 samples. Loss so far: 0.3584. MRR so far: 0.9374 5 (train): Batch 751 (has 450 samples). Processed 337950 samples. Loss so far: 0.3584. MRR so far: 0.9374 5 (train): Batch 752 (has 450 samples). Processed 338400 samples. Loss so far: 0.3584. MRR so far: 0.9374 5 (train): Batch 753 (has 450 samples). Processed 338850 samples. Loss so far: 0.3584. MRR so far: 0.9374 5 (train): Batch 754 (has 450 samples). Processed 339300 samples. Loss so far: 0.3585. MRR so far: 0.9373 5 (train): Batch 755 (has 450 samples). Processed 339750 samples. Loss so far: 0.3587. MRR so far: 0.9373 5 (train): Batch 756 (has 450 samples). Processed 340200 samples. Loss so far: 0.3587. MRR so far: 0.9373 5 (train): Batch 757 (has 450 samples). Processed 340650 samples. Loss so far: 0.3588. MRR so far: 0.9373 5 (train): Batch 758 (has 450 samples). Processed 341100 samples. Loss so far: 0.3589. 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MRR so far: 0.9372 5 (train): Batch 768 (has 450 samples). Processed 345600 samples. Loss so far: 0.3592. MRR so far: 0.9372 5 (train): Batch 769 (has 450 samples). Processed 346050 samples. Loss so far: 0.3594. MRR so far: 0.9372 5 (train): Batch 770 (has 450 samples). Processed 346500 samples. Loss so far: 0.3595. MRR so far: 0.9372 5 (train): Batch 771 (has 450 samples). Processed 346950 samples. Loss so far: 0.3597. MRR so far: 0.9371 5 (train): Batch 772 (has 450 samples). Processed 347400 samples. Loss so far: 0.3597. MRR so far: 0.9371 5 (train): Batch 773 (has 450 samples). Processed 347850 samples. Loss so far: 0.3597. MRR so far: 0.9372 5 (train): Batch 774 (has 450 samples). Processed 348300 samples. Loss so far: 0.3598. MRR so far: 0.9371 5 (train): Batch 775 (has 450 samples). Processed 348750 samples. Loss so far: 0.3598. MRR so far: 0.9371 5 (train): Batch 776 (has 450 samples). Processed 349200 samples. Loss so far: 0.3599. MRR so far: 0.9371 5 (train): Batch 777 (has 450 samples). Processed 349650 samples. Loss so far: 0.3600. MRR so far: 0.9371 5 (train): Batch 778 (has 450 samples). Processed 350100 samples. Loss so far: 0.3600. MRR so far: 0.9371 5 (train): Batch 779 (has 450 samples). Processed 350550 samples. Loss so far: 0.3601. MRR so far: 0.9371 5 (train): Batch 780 (has 450 samples). Processed 351000 samples. Loss so far: 0.3601. MRR so far: 0.9371 5 (train): Batch 781 (has 450 samples). Processed 351450 samples. Loss so far: 0.3601. MRR so far: 0.9371 5 (train): Batch 782 (has 450 samples). Processed 351900 samples. Loss so far: 0.3601. MRR so far: 0.9371 5 (train): Batch 783 (has 450 samples). Processed 352350 samples. Loss so far: 0.3602. MRR so far: 0.9371 5 (train): Batch 784 (has 450 samples). Processed 352800 samples. Loss so far: 0.3601. MRR so far: 0.9371 5 (train): Batch 785 (has 450 samples). Processed 353250 samples. Loss so far: 0.3601. 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MRR so far: 0.9364 5 (train): Batch 894 (has 450 samples). Processed 402300 samples. Loss so far: 0.3640. MRR so far: 0.9363 5 (train): Batch 895 (has 450 samples). Processed 402750 samples. Loss so far: 0.3640. MRR so far: 0.9364 5 (train): Batch 896 (has 450 samples). Processed 403200 samples. Loss so far: 0.3641. MRR so far: 0.9363 5 (train): Batch 897 (has 450 samples). Processed 403650 samples. Loss so far: 0.3642. MRR so far: 0.9363 5 (train): Batch 898 (has 450 samples). Processed 404100 samples. Loss so far: 0.3642. MRR so far: 0.9363 5 (train): Batch 899 (has 450 samples). Processed 404550 samples. Loss so far: 0.3644. MRR so far: 0.9363 5 (train): Batch 900 (has 450 samples). Processed 405000 samples. Loss so far: 0.3643. MRR so far: 0.9363 5 (train): Batch 901 (has 450 samples). Processed 405450 samples. Loss so far: 0.3643. MRR so far: 0.9363 5 (train): Batch 902 (has 450 samples). Processed 405900 samples. Loss so far: 0.3643. 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MRR so far: 0.9363 5 (train): Batch 912 (has 450 samples). Processed 410400 samples. Loss so far: 0.3646. MRR so far: 0.9363 5 (train): Batch 913 (has 450 samples). Processed 410850 samples. Loss so far: 0.3645. MRR so far: 0.9363 5 (train): Batch 914 (has 450 samples). Processed 411300 samples. Loss so far: 0.3645. MRR so far: 0.9363  Epoch 5 (train) took 9192.12s [processed 44 samples/second] + Training Loss: 0.364598 +5 (valid): Batch 0 (has 450 samples). Processed 0 samples. Loss so far: 0.0000. MRR so far: 0.0000 5 (valid): Batch 1 (has 450 samples). Processed 450 samples. Loss so far: 2.9825. MRR so far: 0.5514 5 (valid): Batch 2 (has 450 samples). Processed 900 samples. Loss so far: 2.7484. MRR so far: 0.5839 5 (valid): Batch 3 (has 450 samples). Processed 1350 samples. Loss so far: 2.6375. MRR so far: 0.5985 5 (valid): Batch 4 (has 450 samples). Processed 1800 samples. Loss so far: 2.6166. MRR so far: 0.6052 5 (valid): Batch 5 (has 450 samples). Processed 2250 samples. Loss so far: 2.5427. MRR so far: 0.6152 5 (valid): Batch 6 (has 450 samples). Processed 2700 samples. Loss so far: 2.4925. MRR so far: 0.6249 5 (valid): Batch 7 (has 450 samples). Processed 3150 samples. Loss so far: 2.4438. MRR so far: 0.6349 5 (valid): Batch 8 (has 450 samples). Processed 3600 samples. Loss so far: 2.4000. MRR so far: 0.6430 5 (valid): Batch 9 (has 450 samples). Processed 4050 samples. Loss so far: 2.3459. MRR so far: 0.6508 5 (valid): Batch 10 (has 450 samples). Processed 4500 samples. Loss so far: 2.2912. MRR so far: 0.6576 5 (valid): Batch 11 (has 450 samples). Processed 4950 samples. Loss so far: 2.2729. MRR so far: 0.6600 5 (valid): Batch 12 (has 450 samples). Processed 5400 samples. Loss so far: 2.2362. MRR so far: 0.6653 5 (valid): Batch 13 (has 450 samples). Processed 5850 samples. Loss so far: 2.2369. MRR so far: 0.6667 5 (valid): Batch 14 (has 450 samples). Processed 6300 samples. Loss so far: 2.2150. MRR so far: 0.6698 5 (valid): Batch 15 (has 450 samples). Processed 6750 samples. Loss so far: 2.1890. MRR so far: 0.6729 5 (valid): Batch 16 (has 450 samples). Processed 7200 samples. Loss so far: 2.1640. MRR so far: 0.6757 5 (valid): Batch 17 (has 450 samples). Processed 7650 samples. Loss so far: 2.1377. MRR so far: 0.6786 5 (valid): Batch 18 (has 450 samples). Processed 8100 samples. Loss so far: 2.1208. MRR so far: 0.6817 5 (valid): Batch 19 (has 450 samples). Processed 8550 samples. Loss so far: 2.1128. MRR so far: 0.6832 5 (valid): Batch 20 (has 450 samples). Processed 9000 samples. Loss so far: 2.0915. MRR so far: 0.6862 5 (valid): Batch 21 (has 450 samples). Processed 9450 samples. Loss so far: 2.0750. MRR so far: 0.6884 5 (valid): Batch 22 (has 450 samples). Processed 9900 samples. Loss so far: 2.0549. MRR so far: 0.6915 5 (valid): Batch 23 (has 450 samples). Processed 10350 samples. Loss so far: 2.0411. MRR so far: 0.6935 5 (valid): Batch 24 (has 450 samples). Processed 10800 samples. Loss so far: 2.0252. MRR so far: 0.6957 5 (valid): Batch 25 (has 450 samples). Processed 11250 samples. Loss so far: 2.0176. MRR so far: 0.6971 5 (valid): Batch 26 (has 450 samples). Processed 11700 samples. Loss so far: 1.9965. MRR so far: 0.6995 5 (valid): Batch 27 (has 450 samples). Processed 12150 samples. Loss so far: 1.9743. MRR so far: 0.7027 5 (valid): Batch 28 (has 450 samples). Processed 12600 samples. Loss so far: 1.9707. MRR so far: 0.7039 5 (valid): Batch 29 (has 450 samples). Processed 13050 samples. Loss so far: 1.9623. MRR so far: 0.7055 5 (valid): Batch 30 (has 450 samples). Processed 13500 samples. Loss so far: 1.9527. MRR so far: 0.7072 5 (valid): Batch 31 (has 450 samples). Processed 13950 samples. Loss so far: 1.9376. MRR so far: 0.7088 5 (valid): Batch 32 (has 450 samples). Processed 14400 samples. Loss so far: 1.9311. MRR so far: 0.7101 5 (valid): Batch 33 (has 450 samples). Processed 14850 samples. Loss so far: 1.9285. MRR so far: 0.7116 5 (valid): Batch 34 (has 450 samples). Processed 15300 samples. Loss so far: 1.9174. MRR so far: 0.7134 5 (valid): Batch 35 (has 450 samples). Processed 15750 samples. Loss so far: 1.9120. MRR so far: 0.7144 5 (valid): Batch 36 (has 450 samples). Processed 16200 samples. Loss so far: 1.9138. MRR so far: 0.7144 5 (valid): Batch 37 (has 450 samples). Processed 16650 samples. Loss so far: 1.9044. MRR so far: 0.7157 5 (valid): Batch 38 (has 450 samples). Processed 17100 samples. Loss so far: 1.9014. MRR so far: 0.7165 5 (valid): Batch 39 (has 450 samples). Processed 17550 samples. Loss so far: 1.9063. MRR so far: 0.7165 5 (valid): Batch 40 (has 450 samples). Processed 18000 samples. Loss so far: 1.9068. MRR so far: 0.7172 5 (valid): Batch 41 (has 450 samples). Processed 18450 samples. Loss so far: 1.8974. MRR so far: 0.7185 5 (valid): Batch 42 (has 450 samples). Processed 18900 samples. Loss so far: 1.9059. MRR so far: 0.7182 5 (valid): Batch 43 (has 450 samples). Processed 19350 samples. Loss so far: 1.9052. MRR so far: 0.7184 5 (valid): Batch 44 (has 450 samples). Processed 19800 samples. Loss so far: 1.9058. MRR so far: 0.7188 5 (valid): Batch 45 (has 450 samples). Processed 20250 samples. Loss so far: 1.9062. MRR so far: 0.7195 5 (valid): Batch 46 (has 450 samples). Processed 20700 samples. Loss so far: 1.9002. MRR so far: 0.7202 5 (valid): Batch 47 (has 450 samples). Processed 21150 samples. Loss so far: 1.8954. MRR so far: 0.7207 5 (valid): Batch 48 (has 450 samples). Processed 21600 samples. Loss so far: 1.8950. MRR so far: 0.7208 5 (valid): Batch 49 (has 450 samples). Processed 22050 samples. Loss so far: 1.8963. MRR so far: 0.7206 5 (valid): Batch 50 (has 450 samples). Processed 22500 samples. Loss so far: 1.8988. MRR so far: 0.7204  Epoch 5 (valid) took 197.03s [processed 116 samples/second] + Validation: Loss: 1.897398 | MRR: 0.720550 + Best result so far -- saved model as '/network/home/jangeunb/CodeSearchNet/resources/saved_models/SelfAttentionModel-2020-04-17-22-39-10_model_best.pkl.gz'. +==== Epoch 6 ==== +6 (train): Batch 0 (has 450 samples). Processed 0 samples. Loss so far: 0.0000. MRR so far: 0.0000 6 (train): Batch 1 (has 450 samples). Processed 450 samples. Loss so far: 0.2668. MRR so far: 0.9526 6 (train): Batch 2 (has 450 samples). Processed 900 samples. Loss so far: 0.2983. MRR so far: 0.9461 6 (train): Batch 3 (has 450 samples). Processed 1350 samples. Loss so far: 0.2995. MRR so far: 0.9468 6 (train): Batch 4 (has 450 samples). Processed 1800 samples. Loss so far: 0.3058. MRR so far: 0.9465 6 (train): Batch 5 (has 450 samples). Processed 2250 samples. Loss so far: 0.2958. MRR so far: 0.9478 6 (train): Batch 6 (has 450 samples). Processed 2700 samples. Loss so far: 0.3051. MRR so far: 0.9461 6 (train): Batch 7 (has 450 samples). Processed 3150 samples. Loss so far: 0.3019. MRR so far: 0.9464 6 (train): Batch 8 (has 450 samples). Processed 3600 samples. Loss so far: 0.2916. MRR so far: 0.9487 6 (train): Batch 9 (has 450 samples). Processed 4050 samples. Loss so far: 0.2940. MRR so far: 0.9481 6 (train): Batch 10 (has 450 samples). Processed 4500 samples. Loss so far: 0.2900. MRR so far: 0.9494 6 (train): Batch 11 (has 450 samples). Processed 4950 samples. Loss so far: 0.2875. MRR so far: 0.9495 6 (train): Batch 12 (has 450 samples). Processed 5400 samples. Loss so far: 0.2836. MRR so far: 0.9500 6 (train): Batch 13 (has 450 samples). Processed 5850 samples. Loss so far: 0.2817. MRR so far: 0.9505 6 (train): Batch 14 (has 450 samples). Processed 6300 samples. Loss so far: 0.2845. MRR so far: 0.9503 6 (train): Batch 15 (has 450 samples). Processed 6750 samples. Loss so far: 0.2872. MRR so far: 0.9500 6 (train): Batch 16 (has 450 samples). 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MRR so far: 0.9454 6 (train): Batch 750 (has 450 samples). Processed 337500 samples. Loss so far: 0.3115. MRR so far: 0.9453 6 (train): Batch 751 (has 450 samples). Processed 337950 samples. Loss so far: 0.3116. MRR so far: 0.9453 6 (train): Batch 752 (has 450 samples). Processed 338400 samples. Loss so far: 0.3116. MRR so far: 0.9453 6 (train): Batch 753 (has 450 samples). Processed 338850 samples. Loss so far: 0.3116. MRR so far: 0.9453 6 (train): Batch 754 (has 450 samples). Processed 339300 samples. Loss so far: 0.3116. MRR so far: 0.9453 6 (train): Batch 755 (has 450 samples). Processed 339750 samples. Loss so far: 0.3119. MRR so far: 0.9453 6 (train): Batch 756 (has 450 samples). Processed 340200 samples. Loss so far: 0.3120. MRR so far: 0.9453 6 (train): Batch 757 (has 450 samples). Processed 340650 samples. Loss so far: 0.3120. MRR so far: 0.9453 6 (train): Batch 758 (has 450 samples). Processed 341100 samples. Loss so far: 0.3120. 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MRR so far: 0.9451 6 (train): Batch 768 (has 450 samples). Processed 345600 samples. Loss so far: 0.3128. MRR so far: 0.9451 6 (train): Batch 769 (has 450 samples). Processed 346050 samples. Loss so far: 0.3130. MRR so far: 0.9451 6 (train): Batch 770 (has 450 samples). Processed 346500 samples. Loss so far: 0.3130. MRR so far: 0.9451 6 (train): Batch 771 (has 450 samples). Processed 346950 samples. Loss so far: 0.3131. MRR so far: 0.9451 6 (train): Batch 772 (has 450 samples). Processed 347400 samples. Loss so far: 0.3131. MRR so far: 0.9451 6 (train): Batch 773 (has 450 samples). Processed 347850 samples. Loss so far: 0.3132. MRR so far: 0.9450 6 (train): Batch 774 (has 450 samples). Processed 348300 samples. Loss so far: 0.3133. MRR so far: 0.9450 6 (train): Batch 775 (has 450 samples). Processed 348750 samples. Loss so far: 0.3133. MRR so far: 0.9450 6 (train): Batch 776 (has 450 samples). Processed 349200 samples. Loss so far: 0.3133. MRR so far: 0.9450 6 (train): Batch 777 (has 450 samples). Processed 349650 samples. Loss so far: 0.3133. MRR so far: 0.9450 6 (train): Batch 778 (has 450 samples). Processed 350100 samples. Loss so far: 0.3134. MRR so far: 0.9450 6 (train): Batch 779 (has 450 samples). Processed 350550 samples. Loss so far: 0.3135. MRR so far: 0.9450 6 (train): Batch 780 (has 450 samples). Processed 351000 samples. Loss so far: 0.3135. MRR so far: 0.9450 6 (train): Batch 781 (has 450 samples). Processed 351450 samples. Loss so far: 0.3135. MRR so far: 0.9450 6 (train): Batch 782 (has 450 samples). Processed 351900 samples. Loss so far: 0.3135. MRR so far: 0.9450 6 (train): Batch 783 (has 450 samples). Processed 352350 samples. Loss so far: 0.3136. MRR so far: 0.9450 6 (train): Batch 784 (has 450 samples). Processed 352800 samples. Loss so far: 0.3136. MRR so far: 0.9450 6 (train): Batch 785 (has 450 samples). Processed 353250 samples. Loss so far: 0.3137. MRR so far: 0.9449 6 (train): Batch 786 (has 450 samples). Processed 353700 samples. Loss so far: 0.3138. MRR so far: 0.9449 6 (train): Batch 787 (has 450 samples). Processed 354150 samples. Loss so far: 0.3138. MRR so far: 0.9449 6 (train): Batch 788 (has 450 samples). Processed 354600 samples. Loss so far: 0.3138. MRR so far: 0.9449 6 (train): Batch 789 (has 450 samples). Processed 355050 samples. Loss so far: 0.3137. MRR so far: 0.9449 6 (train): Batch 790 (has 450 samples). Processed 355500 samples. Loss so far: 0.3137. MRR so far: 0.9449 6 (train): Batch 791 (has 450 samples). Processed 355950 samples. Loss so far: 0.3138. MRR so far: 0.9449 6 (train): Batch 792 (has 450 samples). Processed 356400 samples. Loss so far: 0.3138. MRR so far: 0.9449 6 (train): Batch 793 (has 450 samples). Processed 356850 samples. Loss so far: 0.3138. MRR so far: 0.9449 6 (train): Batch 794 (has 450 samples). Processed 357300 samples. Loss so far: 0.3138. 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Loss so far: 2.5639. MRR so far: 0.6071 6 (valid): Batch 6 (has 450 samples). Processed 2700 samples. Loss so far: 2.5041. MRR so far: 0.6163 6 (valid): Batch 7 (has 450 samples). Processed 3150 samples. Loss so far: 2.4810. MRR so far: 0.6255 6 (valid): Batch 8 (has 450 samples). Processed 3600 samples. Loss so far: 2.4348. MRR so far: 0.6340 6 (valid): Batch 9 (has 450 samples). Processed 4050 samples. Loss so far: 2.3956. MRR so far: 0.6407 6 (valid): Batch 10 (has 450 samples). Processed 4500 samples. Loss so far: 2.3312. MRR so far: 0.6501 6 (valid): Batch 11 (has 450 samples). Processed 4950 samples. Loss so far: 2.3231. MRR so far: 0.6538 6 (valid): Batch 12 (has 450 samples). Processed 5400 samples. Loss so far: 2.2944. MRR so far: 0.6591 6 (valid): Batch 13 (has 450 samples). Processed 5850 samples. Loss so far: 2.2842. MRR so far: 0.6617 6 (valid): Batch 14 (has 450 samples). Processed 6300 samples. Loss so far: 2.2595. 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Processed 10800 samples. Loss so far: 2.0674. MRR so far: 0.6936 6 (valid): Batch 25 (has 450 samples). Processed 11250 samples. Loss so far: 2.0594. MRR so far: 0.6946 6 (valid): Batch 26 (has 450 samples). Processed 11700 samples. Loss so far: 2.0360. MRR so far: 0.6975 6 (valid): Batch 27 (has 450 samples). Processed 12150 samples. Loss so far: 2.0167. MRR so far: 0.7006 6 (valid): Batch 28 (has 450 samples). Processed 12600 samples. Loss so far: 2.0112. MRR so far: 0.7021 6 (valid): Batch 29 (has 450 samples). Processed 13050 samples. Loss so far: 2.0031. MRR so far: 0.7038 6 (valid): Batch 30 (has 450 samples). Processed 13500 samples. Loss so far: 1.9898. MRR so far: 0.7052 6 (valid): Batch 31 (has 450 samples). Processed 13950 samples. Loss so far: 1.9775. MRR so far: 0.7074 6 (valid): Batch 32 (has 450 samples). Processed 14400 samples. Loss so far: 1.9732. MRR so far: 0.7085 6 (valid): Batch 33 (has 450 samples). Processed 14850 samples. Loss so far: 1.9696. MRR so far: 0.7100 6 (valid): Batch 34 (has 450 samples). Processed 15300 samples. Loss so far: 1.9626. MRR so far: 0.7117 6 (valid): Batch 35 (has 450 samples). Processed 15750 samples. Loss so far: 1.9589. MRR so far: 0.7129 6 (valid): Batch 36 (has 450 samples). Processed 16200 samples. Loss so far: 1.9607. MRR so far: 0.7130 6 (valid): Batch 37 (has 450 samples). Processed 16650 samples. Loss so far: 1.9511. MRR so far: 0.7144 6 (valid): Batch 38 (has 450 samples). Processed 17100 samples. Loss so far: 1.9419. MRR so far: 0.7159 6 (valid): Batch 39 (has 450 samples). Processed 17550 samples. Loss so far: 1.9452. MRR so far: 0.7159 6 (valid): Batch 40 (has 450 samples). Processed 18000 samples. Loss so far: 1.9442. MRR so far: 0.7163 6 (valid): Batch 41 (has 450 samples). Processed 18450 samples. Loss so far: 1.9354. MRR so far: 0.7177 6 (valid): Batch 42 (has 450 samples). Processed 18900 samples. Loss so far: 1.9422. MRR so far: 0.7175 6 (valid): Batch 43 (has 450 samples). Processed 19350 samples. Loss so far: 1.9402. MRR so far: 0.7180 6 (valid): Batch 44 (has 450 samples). Processed 19800 samples. Loss so far: 1.9371. MRR so far: 0.7182 6 (valid): Batch 45 (has 450 samples). Processed 20250 samples. Loss so far: 1.9371. MRR so far: 0.7187 6 (valid): Batch 46 (has 450 samples). Processed 20700 samples. Loss so far: 1.9322. MRR so far: 0.7192 6 (valid): Batch 47 (has 450 samples). Processed 21150 samples. Loss so far: 1.9260. MRR so far: 0.7199 6 (valid): Batch 48 (has 450 samples). Processed 21600 samples. Loss so far: 1.9274. MRR so far: 0.7199 6 (valid): Batch 49 (has 450 samples). Processed 22050 samples. Loss so far: 1.9280. MRR so far: 0.7200 6 (valid): Batch 50 (has 450 samples). Processed 22500 samples. Loss so far: 1.9291. MRR so far: 0.7199  Epoch 6 (valid) took 199.19s [processed 115 samples/second] + Validation: Loss: 1.928336 | MRR: 0.720126 +==== Epoch 7 ==== +7 (train): Batch 0 (has 450 samples). Processed 0 samples. Loss so far: 0.0000. MRR so far: 0.0000 7 (train): Batch 1 (has 450 samples). Processed 450 samples. Loss so far: 0.2558. MRR so far: 0.9591 7 (train): Batch 2 (has 450 samples). Processed 900 samples. Loss so far: 0.2553. MRR so far: 0.9553 7 (train): Batch 3 (has 450 samples). Processed 1350 samples. Loss so far: 0.2490. MRR so far: 0.9568 7 (train): Batch 4 (has 450 samples). Processed 1800 samples. Loss so far: 0.2556. MRR so far: 0.9565 7 (train): Batch 5 (has 450 samples). Processed 2250 samples. Loss so far: 0.2432. MRR so far: 0.9575 7 (train): Batch 6 (has 450 samples). Processed 2700 samples. Loss so far: 0.2354. MRR so far: 0.9592 7 (train): Batch 7 (has 450 samples). Processed 3150 samples. Loss so far: 0.2359. MRR so far: 0.9589 7 (train): Batch 8 (has 450 samples). Processed 3600 samples. Loss so far: 0.2319. MRR so far: 0.9593 7 (train): Batch 9 (has 450 samples). Processed 4050 samples. Loss so far: 0.2320. MRR so far: 0.9592 7 (train): Batch 10 (has 450 samples). Processed 4500 samples. 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MRR so far: 0.9488 7 (train): Batch 907 (has 450 samples). Processed 408150 samples. Loss so far: 0.2899. MRR so far: 0.9488 7 (train): Batch 908 (has 450 samples). Processed 408600 samples. Loss so far: 0.2900. MRR so far: 0.9488 7 (train): Batch 909 (has 450 samples). Processed 409050 samples. Loss so far: 0.2899. MRR so far: 0.9488 7 (train): Batch 910 (has 450 samples). Processed 409500 samples. Loss so far: 0.2899. MRR so far: 0.9488 7 (train): Batch 911 (has 450 samples). Processed 409950 samples. Loss so far: 0.2900. MRR so far: 0.9488 7 (train): Batch 912 (has 450 samples). Processed 410400 samples. Loss so far: 0.2901. MRR so far: 0.9488 7 (train): Batch 913 (has 450 samples). Processed 410850 samples. Loss so far: 0.2901. MRR so far: 0.9488 7 (train): Batch 914 (has 450 samples). Processed 411300 samples. Loss so far: 0.2901. MRR so far: 0.9488  Epoch 7 (train) took 9273.91s [processed 44 samples/second] + Training Loss: 0.290097 +7 (valid): Batch 0 (has 450 samples). Processed 0 samples. Loss so far: 0.0000. MRR so far: 0.0000 7 (valid): Batch 1 (has 450 samples). Processed 450 samples. Loss so far: 2.9137. MRR so far: 0.5469 7 (valid): Batch 2 (has 450 samples). Processed 900 samples. Loss so far: 2.7506. MRR so far: 0.5760 7 (valid): Batch 3 (has 450 samples). Processed 1350 samples. Loss so far: 2.6758. MRR so far: 0.5916 7 (valid): Batch 4 (has 450 samples). Processed 1800 samples. Loss so far: 2.6656. MRR so far: 0.5998 7 (valid): Batch 5 (has 450 samples). Processed 2250 samples. Loss so far: 2.6369. MRR so far: 0.6054 7 (valid): Batch 6 (has 450 samples). Processed 2700 samples. Loss so far: 2.5910. MRR so far: 0.6158 7 (valid): Batch 7 (has 450 samples). Processed 3150 samples. Loss so far: 2.5330. MRR so far: 0.6261 7 (valid): Batch 8 (has 450 samples). Processed 3600 samples. Loss so far: 2.4856. MRR so far: 0.6359 7 (valid): Batch 9 (has 450 samples). Processed 4050 samples. Loss so far: 2.4478. 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Processed 17100 samples. Loss so far: 1.9775. MRR so far: 0.7179 7 (valid): Batch 39 (has 450 samples). Processed 17550 samples. Loss so far: 1.9818. MRR so far: 0.7180 7 (valid): Batch 40 (has 450 samples). Processed 18000 samples. Loss so far: 1.9838. MRR so far: 0.7182 7 (valid): Batch 41 (has 450 samples). Processed 18450 samples. Loss so far: 1.9752. MRR so far: 0.7193 7 (valid): Batch 42 (has 450 samples). Processed 18900 samples. Loss so far: 1.9835. MRR so far: 0.7187 7 (valid): Batch 43 (has 450 samples). Processed 19350 samples. Loss so far: 1.9816. MRR so far: 0.7189 7 (valid): Batch 44 (has 450 samples). Processed 19800 samples. Loss so far: 1.9780. MRR so far: 0.7193 7 (valid): Batch 45 (has 450 samples). Processed 20250 samples. Loss so far: 1.9770. MRR so far: 0.7200 7 (valid): Batch 46 (has 450 samples). Processed 20700 samples. Loss so far: 1.9695. MRR so far: 0.7209 7 (valid): Batch 47 (has 450 samples). Processed 21150 samples. Loss so far: 1.9641. MRR so far: 0.7212 7 (valid): Batch 48 (has 450 samples). Processed 21600 samples. Loss so far: 1.9661. MRR so far: 0.7208 7 (valid): Batch 49 (has 450 samples). Processed 22050 samples. Loss so far: 1.9707. MRR so far: 0.7207 7 (valid): Batch 50 (has 450 samples). Processed 22500 samples. Loss so far: 1.9713. MRR so far: 0.7207  Epoch 7 (valid) took 201.61s [processed 113 samples/second] + Validation: Loss: 1.967527 | MRR: 0.721201 + Best result so far -- saved model as '/network/home/jangeunb/CodeSearchNet/resources/saved_models/SelfAttentionModel-2020-04-17-22-39-10_model_best.pkl.gz'. +==== Epoch 8 ==== +8 (train): Batch 0 (has 450 samples). Processed 0 samples. Loss so far: 0.0000. MRR so far: 0.0000 8 (train): Batch 1 (has 450 samples). Processed 450 samples. Loss so far: 0.2669. MRR so far: 0.9509 8 (train): Batch 2 (has 450 samples). Processed 900 samples. Loss so far: 0.2308. MRR so far: 0.9593 8 (train): Batch 3 (has 450 samples). Processed 1350 samples. Loss so far: 0.2318. 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MRR so far: 0.9534 8 (train): Batch 900 (has 450 samples). Processed 405000 samples. Loss so far: 0.2643. MRR so far: 0.9533 8 (train): Batch 901 (has 450 samples). Processed 405450 samples. Loss so far: 0.2644. MRR so far: 0.9533 8 (train): Batch 902 (has 450 samples). Processed 405900 samples. Loss so far: 0.2644. MRR so far: 0.9533 8 (train): Batch 903 (has 450 samples). Processed 406350 samples. Loss so far: 0.2645. MRR so far: 0.9533 8 (train): Batch 904 (has 450 samples). Processed 406800 samples. Loss so far: 0.2645. MRR so far: 0.9533 8 (train): Batch 905 (has 450 samples). Processed 407250 samples. Loss so far: 0.2646. MRR so far: 0.9533 8 (train): Batch 906 (has 450 samples). Processed 407700 samples. Loss so far: 0.2646. MRR so far: 0.9533 8 (train): Batch 907 (has 450 samples). Processed 408150 samples. Loss so far: 0.2647. MRR so far: 0.9533 8 (train): Batch 908 (has 450 samples). Processed 408600 samples. Loss so far: 0.2646. MRR so far: 0.9533 8 (train): Batch 909 (has 450 samples). Processed 409050 samples. Loss so far: 0.2647. MRR so far: 0.9533 8 (train): Batch 910 (has 450 samples). Processed 409500 samples. Loss so far: 0.2647. MRR so far: 0.9533 8 (train): Batch 911 (has 450 samples). Processed 409950 samples. Loss so far: 0.2647. MRR so far: 0.9532 8 (train): Batch 912 (has 450 samples). Processed 410400 samples. Loss so far: 0.2647. MRR so far: 0.9532 8 (train): Batch 913 (has 450 samples). Processed 410850 samples. Loss so far: 0.2648. MRR so far: 0.9532 8 (train): Batch 914 (has 450 samples). Processed 411300 samples. Loss so far: 0.2648. MRR so far: 0.9532  Epoch 8 (train) took 9274.43s [processed 44 samples/second] + Training Loss: 0.264784 +8 (valid): Batch 0 (has 450 samples). Processed 0 samples. Loss so far: 0.0000. MRR so far: 0.0000 8 (valid): Batch 1 (has 450 samples). Processed 450 samples. Loss so far: 3.0993. MRR so far: 0.5293 8 (valid): Batch 2 (has 450 samples). Processed 900 samples. Loss so far: 2.8667. MRR so far: 0.5663 8 (valid): Batch 3 (has 450 samples). Processed 1350 samples. Loss so far: 2.7798. MRR so far: 0.5886 8 (valid): Batch 4 (has 450 samples). Processed 1800 samples. Loss so far: 2.7311. MRR so far: 0.5983 8 (valid): Batch 5 (has 450 samples). Processed 2250 samples. Loss so far: 2.6608. MRR so far: 0.6097 8 (valid): Batch 6 (has 450 samples). Processed 2700 samples. Loss so far: 2.6153. MRR so far: 0.6171 8 (valid): Batch 7 (has 450 samples). Processed 3150 samples. Loss so far: 2.5611. MRR so far: 0.6252 8 (valid): Batch 8 (has 450 samples). Processed 3600 samples. Loss so far: 2.5173. MRR so far: 0.6329 8 (valid): Batch 9 (has 450 samples). Processed 4050 samples. Loss so far: 2.4634. MRR so far: 0.6395 8 (valid): Batch 10 (has 450 samples). Processed 4500 samples. Loss so far: 2.4133. MRR so far: 0.6473 8 (valid): Batch 11 (has 450 samples). Processed 4950 samples. Loss so far: 2.4065. MRR so far: 0.6504 8 (valid): Batch 12 (has 450 samples). Processed 5400 samples. Loss so far: 2.3625. MRR so far: 0.6576 8 (valid): Batch 13 (has 450 samples). Processed 5850 samples. Loss so far: 2.3374. MRR so far: 0.6613 8 (valid): Batch 14 (has 450 samples). Processed 6300 samples. Loss so far: 2.3139. MRR so far: 0.6641 8 (valid): Batch 15 (has 450 samples). Processed 6750 samples. Loss so far: 2.2843. MRR so far: 0.6683 8 (valid): Batch 16 (has 450 samples). Processed 7200 samples. Loss so far: 2.2633. MRR so far: 0.6716 8 (valid): Batch 17 (has 450 samples). Processed 7650 samples. Loss so far: 2.2320. MRR so far: 0.6766 8 (valid): Batch 18 (has 450 samples). Processed 8100 samples. Loss so far: 2.2167. MRR so far: 0.6788 8 (valid): Batch 19 (has 450 samples). Processed 8550 samples. Loss so far: 2.2017. MRR so far: 0.6812 8 (valid): Batch 20 (has 450 samples). Processed 9000 samples. Loss so far: 2.1795. MRR so far: 0.6847 8 (valid): Batch 21 (has 450 samples). Processed 9450 samples. Loss so far: 2.1631. MRR so far: 0.6872 8 (valid): Batch 22 (has 450 samples). Processed 9900 samples. Loss so far: 2.1470. MRR so far: 0.6898 8 (valid): Batch 23 (has 450 samples). Processed 10350 samples. Loss so far: 2.1349. MRR so far: 0.6916 8 (valid): Batch 24 (has 450 samples). Processed 10800 samples. Loss so far: 2.1227. MRR so far: 0.6938 8 (valid): Batch 25 (has 450 samples). Processed 11250 samples. Loss so far: 2.1115. MRR so far: 0.6959 8 (valid): Batch 26 (has 450 samples). Processed 11700 samples. Loss so far: 2.0888. MRR so far: 0.6992 8 (valid): Batch 27 (has 450 samples). Processed 12150 samples. Loss so far: 2.0678. MRR so far: 0.7023 8 (valid): Batch 28 (has 450 samples). Processed 12600 samples. Loss so far: 2.0640. MRR so far: 0.7034 8 (valid): Batch 29 (has 450 samples). Processed 13050 samples. Loss so far: 2.0586. MRR so far: 0.7051 8 (valid): Batch 30 (has 450 samples). Processed 13500 samples. Loss so far: 2.0445. 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Processed 18000 samples. Loss so far: 2.0079. MRR so far: 0.7163 8 (valid): Batch 41 (has 450 samples). Processed 18450 samples. Loss so far: 1.9976. MRR so far: 0.7174 8 (valid): Batch 42 (has 450 samples). Processed 18900 samples. Loss so far: 2.0040. MRR so far: 0.7170 8 (valid): Batch 43 (has 450 samples). Processed 19350 samples. Loss so far: 2.0002. MRR so far: 0.7172 8 (valid): Batch 44 (has 450 samples). Processed 19800 samples. Loss so far: 1.9982. MRR so far: 0.7179 8 (valid): Batch 45 (has 450 samples). Processed 20250 samples. Loss so far: 1.9977. MRR so far: 0.7185 8 (valid): Batch 46 (has 450 samples). Processed 20700 samples. Loss so far: 1.9940. MRR so far: 0.7191 8 (valid): Batch 47 (has 450 samples). Processed 21150 samples. Loss so far: 1.9903. MRR so far: 0.7194 8 (valid): Batch 48 (has 450 samples). Processed 21600 samples. Loss so far: 1.9921. MRR so far: 0.7191 8 (valid): Batch 49 (has 450 samples). Processed 22050 samples. Loss so far: 1.9935. MRR so far: 0.7190 8 (valid): Batch 50 (has 450 samples). Processed 22500 samples. Loss so far: 1.9939. MRR so far: 0.7190  Epoch 8 (valid) took 200.94s [processed 114 samples/second] + Validation: Loss: 1.992987 | MRR: 0.719146 +==== Epoch 9 ==== +9 (train): Batch 0 (has 450 samples). Processed 0 samples. Loss so far: 0.0000. MRR so far: 0.0000 9 (train): Batch 1 (has 450 samples). Processed 450 samples. Loss so far: 0.1764. MRR so far: 0.9707 9 (train): Batch 2 (has 450 samples). Processed 900 samples. Loss so far: 0.1749. MRR so far: 0.9700 9 (train): Batch 3 (has 450 samples). Processed 1350 samples. Loss so far: 0.1822. MRR so far: 0.9682 9 (train): Batch 4 (has 450 samples). Processed 1800 samples. Loss so far: 0.1771. MRR so far: 0.9690 9 (train): Batch 5 (has 450 samples). Processed 2250 samples. Loss so far: 0.1826. MRR so far: 0.9682 9 (train): Batch 6 (has 450 samples). Processed 2700 samples. Loss so far: 0.1889. MRR so far: 0.9664 9 (train): Batch 7 (has 450 samples). Processed 3150 samples. Loss so far: 0.1824. MRR so far: 0.9680 9 (train): Batch 8 (has 450 samples). Processed 3600 samples. Loss so far: 0.1852. MRR so far: 0.9675 9 (train): Batch 9 (has 450 samples). Processed 4050 samples. Loss so far: 0.1838. MRR so far: 0.9678 9 (train): Batch 10 (has 450 samples). Processed 4500 samples. Loss so far: 0.1847. MRR so far: 0.9676 9 (train): Batch 11 (has 450 samples). Processed 4950 samples. Loss so far: 0.1908. MRR so far: 0.9669 9 (train): Batch 12 (has 450 samples). Processed 5400 samples. Loss so far: 0.1939. MRR so far: 0.9664 9 (train): Batch 13 (has 450 samples). Processed 5850 samples. Loss so far: 0.1954. MRR so far: 0.9658 9 (train): Batch 14 (has 450 samples). Processed 6300 samples. Loss so far: 0.1983. MRR so far: 0.9657 9 (train): Batch 15 (has 450 samples). Processed 6750 samples. Loss so far: 0.2013. MRR so far: 0.9648 9 (train): Batch 16 (has 450 samples). Processed 7200 samples. Loss so far: 0.2009. MRR so far: 0.9652 9 (train): Batch 17 (has 450 samples). Processed 7650 samples. Loss so far: 0.1990. MRR so far: 0.9658 9 (train): Batch 18 (has 450 samples). Processed 8100 samples. Loss so far: 0.2038. MRR so far: 0.9648 9 (train): Batch 19 (has 450 samples). Processed 8550 samples. Loss so far: 0.2043. MRR so far: 0.9648 9 (train): Batch 20 (has 450 samples). Processed 9000 samples. Loss so far: 0.2065. MRR so far: 0.9646 9 (train): Batch 21 (has 450 samples). Processed 9450 samples. Loss so far: 0.2074. MRR so far: 0.9646 9 (train): Batch 22 (has 450 samples). Processed 9900 samples. Loss so far: 0.2049. MRR so far: 0.9650 9 (train): Batch 23 (has 450 samples). Processed 10350 samples. Loss so far: 0.2034. MRR so far: 0.9651 9 (train): Batch 24 (has 450 samples). Processed 10800 samples. Loss so far: 0.2047. MRR so far: 0.9651 9 (train): Batch 25 (has 450 samples). Processed 11250 samples. Loss so far: 0.2064. MRR so far: 0.9649 9 (train): Batch 26 (has 450 samples). 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MRR so far: 0.9568 9 (train): Batch 904 (has 450 samples). Processed 406800 samples. Loss so far: 0.2452. MRR so far: 0.9568 9 (train): Batch 905 (has 450 samples). Processed 407250 samples. Loss so far: 0.2452. MRR so far: 0.9568 9 (train): Batch 906 (has 450 samples). Processed 407700 samples. Loss so far: 0.2452. MRR so far: 0.9568 9 (train): Batch 907 (has 450 samples). Processed 408150 samples. Loss so far: 0.2452. MRR so far: 0.9568 9 (train): Batch 908 (has 450 samples). Processed 408600 samples. Loss so far: 0.2452. MRR so far: 0.9568 9 (train): Batch 909 (has 450 samples). Processed 409050 samples. Loss so far: 0.2452. MRR so far: 0.9568 9 (train): Batch 910 (has 450 samples). Processed 409500 samples. Loss so far: 0.2451. MRR so far: 0.9568 9 (train): Batch 911 (has 450 samples). Processed 409950 samples. Loss so far: 0.2452. MRR so far: 0.9568 9 (train): Batch 912 (has 450 samples). Processed 410400 samples. Loss so far: 0.2451. MRR so far: 0.9568 9 (train): Batch 913 (has 450 samples). Processed 410850 samples. Loss so far: 0.2452. MRR so far: 0.9568 9 (train): Batch 914 (has 450 samples). Processed 411300 samples. Loss so far: 0.2452. MRR so far: 0.9568  Epoch 9 (train) took 9106.41s [processed 45 samples/second] + Training Loss: 0.245261 +9 (valid): Batch 0 (has 450 samples). Processed 0 samples. Loss so far: 0.0000. MRR so far: 0.0000 9 (valid): Batch 1 (has 450 samples). Processed 450 samples. Loss so far: 3.1101. MRR so far: 0.5321 9 (valid): Batch 2 (has 450 samples). Processed 900 samples. Loss so far: 2.9609. MRR so far: 0.5729 9 (valid): Batch 3 (has 450 samples). Processed 1350 samples. Loss so far: 2.8767. MRR so far: 0.5854 9 (valid): Batch 4 (has 450 samples). Processed 1800 samples. Loss so far: 2.8365. MRR so far: 0.5947 9 (valid): Batch 5 (has 450 samples). Processed 2250 samples. Loss so far: 2.7572. MRR so far: 0.6070 9 (valid): Batch 6 (has 450 samples). Processed 2700 samples. Loss so far: 2.6917. MRR so far: 0.6174 9 (valid): Batch 7 (has 450 samples). Processed 3150 samples. Loss so far: 2.6595. MRR so far: 0.6237 9 (valid): Batch 8 (has 450 samples). Processed 3600 samples. Loss so far: 2.5993. MRR so far: 0.6330 9 (valid): Batch 9 (has 450 samples). Processed 4050 samples. Loss so far: 2.5442. MRR so far: 0.6409 9 (valid): Batch 10 (has 450 samples). Processed 4500 samples. Loss so far: 2.4846. MRR so far: 0.6495 9 (valid): Batch 11 (has 450 samples). Processed 4950 samples. Loss so far: 2.4730. MRR so far: 0.6538 9 (valid): Batch 12 (has 450 samples). Processed 5400 samples. Loss so far: 2.4340. MRR so far: 0.6600 9 (valid): Batch 13 (has 450 samples). Processed 5850 samples. Loss so far: 2.4110. MRR so far: 0.6639 9 (valid): Batch 14 (has 450 samples). Processed 6300 samples. Loss so far: 2.3864. MRR so far: 0.6678 9 (valid): Batch 15 (has 450 samples). Processed 6750 samples. Loss so far: 2.3583. MRR so far: 0.6711 9 (valid): Batch 16 (has 450 samples). Processed 7200 samples. Loss so far: 2.3352. MRR so far: 0.6749 9 (valid): Batch 17 (has 450 samples). Processed 7650 samples. Loss so far: 2.2997. MRR so far: 0.6796 9 (valid): Batch 18 (has 450 samples). Processed 8100 samples. Loss so far: 2.2750. MRR so far: 0.6827 9 (valid): Batch 19 (has 450 samples). Processed 8550 samples. Loss so far: 2.2506. MRR so far: 0.6862 9 (valid): Batch 20 (has 450 samples). Processed 9000 samples. Loss so far: 2.2274. MRR so far: 0.6884 9 (valid): Batch 21 (has 450 samples). Processed 9450 samples. Loss so far: 2.2066. MRR so far: 0.6915 9 (valid): Batch 22 (has 450 samples). Processed 9900 samples. Loss so far: 2.1863. MRR so far: 0.6941 9 (valid): Batch 23 (has 450 samples). Processed 10350 samples. Loss so far: 2.1718. MRR so far: 0.6958 9 (valid): Batch 24 (has 450 samples). Processed 10800 samples. Loss so far: 2.1592. MRR so far: 0.6975 9 (valid): Batch 25 (has 450 samples). Processed 11250 samples. Loss so far: 2.1511. MRR so far: 0.6993 9 (valid): Batch 26 (has 450 samples). Processed 11700 samples. Loss so far: 2.1294. MRR so far: 0.7021 9 (valid): Batch 27 (has 450 samples). Processed 12150 samples. Loss so far: 2.1077. MRR so far: 0.7053 9 (valid): Batch 28 (has 450 samples). Processed 12600 samples. Loss so far: 2.0993. MRR so far: 0.7063 9 (valid): Batch 29 (has 450 samples). Processed 13050 samples. Loss so far: 2.0922. MRR so far: 0.7077 9 (valid): Batch 30 (has 450 samples). Processed 13500 samples. Loss so far: 2.0790. MRR so far: 0.7090 9 (valid): Batch 31 (has 450 samples). Processed 13950 samples. Loss so far: 2.0619. MRR so far: 0.7113 9 (valid): Batch 32 (has 450 samples). Processed 14400 samples. Loss so far: 2.0574. MRR so far: 0.7121 9 (valid): Batch 33 (has 450 samples). Processed 14850 samples. Loss so far: 2.0516. MRR so far: 0.7133 9 (valid): Batch 34 (has 450 samples). Processed 15300 samples. Loss so far: 2.0442. MRR so far: 0.7147 9 (valid): Batch 35 (has 450 samples). Processed 15750 samples. Loss so far: 2.0399. MRR so far: 0.7153 9 (valid): Batch 36 (has 450 samples). Processed 16200 samples. Loss so far: 2.0467. MRR so far: 0.7155 9 (valid): Batch 37 (has 450 samples). Processed 16650 samples. Loss so far: 2.0401. MRR so far: 0.7164 9 (valid): Batch 38 (has 450 samples). Processed 17100 samples. Loss so far: 2.0308. MRR so far: 0.7179 9 (valid): Batch 39 (has 450 samples). Processed 17550 samples. Loss so far: 2.0349. MRR so far: 0.7181 9 (valid): Batch 40 (has 450 samples). Processed 18000 samples. Loss so far: 2.0362. MRR so far: 0.7185 9 (valid): Batch 41 (has 450 samples). Processed 18450 samples. Loss so far: 2.0258. MRR so far: 0.7195 9 (valid): Batch 42 (has 450 samples). Processed 18900 samples. Loss so far: 2.0335. MRR so far: 0.7190 9 (valid): Batch 43 (has 450 samples). Processed 19350 samples. Loss so far: 2.0282. MRR so far: 0.7196 9 (valid): Batch 44 (has 450 samples). Processed 19800 samples. Loss so far: 2.0228. MRR so far: 0.7204 9 (valid): Batch 45 (has 450 samples). Processed 20250 samples. Loss so far: 2.0233. MRR so far: 0.7210 9 (valid): Batch 46 (has 450 samples). Processed 20700 samples. Loss so far: 2.0191. MRR so far: 0.7214 9 (valid): Batch 47 (has 450 samples). Processed 21150 samples. Loss so far: 2.0151. MRR so far: 0.7214 9 (valid): Batch 48 (has 450 samples). Processed 21600 samples. Loss so far: 2.0175. MRR so far: 0.7211 9 (valid): Batch 49 (has 450 samples). Processed 22050 samples. Loss so far: 2.0184. MRR so far: 0.7212 9 (valid): Batch 50 (has 450 samples). Processed 22500 samples. Loss so far: 2.0172. MRR so far: 0.7213  Epoch 9 (valid) took 195.46s [processed 117 samples/second] + Validation: Loss: 2.016020 | MRR: 0.721641 + Best result so far -- saved model as '/network/home/jangeunb/CodeSearchNet/resources/saved_models/SelfAttentionModel-2020-04-17-22-39-10_model_best.pkl.gz'. +==== Epoch 10 ==== +10 (train): Batch 0 (has 450 samples). Processed 0 samples. Loss so far: 0.0000. MRR so far: 0.0000 10 (train): Batch 1 (has 450 samples). Processed 450 samples. Loss so far: 0.2119. MRR so far: 0.9701 10 (train): Batch 2 (has 450 samples). Processed 900 samples. Loss so far: 0.2122. MRR so far: 0.9686 10 (train): Batch 3 (has 450 samples). Processed 1350 samples. Loss so far: 0.2123. MRR so far: 0.9659 10 (train): Batch 4 (has 450 samples). Processed 1800 samples. Loss so far: 0.2063. MRR so far: 0.9676 10 (train): Batch 5 (has 450 samples). Processed 2250 samples. Loss so far: 0.2014. MRR so far: 0.9678 10 (train): Batch 6 (has 450 samples). Processed 2700 samples. 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MRR so far: 0.9595 10 (train): Batch 899 (has 450 samples). Processed 404550 samples. Loss so far: 0.2281. MRR so far: 0.9595 10 (train): Batch 900 (has 450 samples). Processed 405000 samples. Loss so far: 0.2281. MRR so far: 0.9595 10 (train): Batch 901 (has 450 samples). Processed 405450 samples. Loss so far: 0.2281. MRR so far: 0.9595 10 (train): Batch 902 (has 450 samples). Processed 405900 samples. Loss so far: 0.2282. MRR so far: 0.9595 10 (train): Batch 903 (has 450 samples). Processed 406350 samples. Loss so far: 0.2282. MRR so far: 0.9595 10 (train): Batch 904 (has 450 samples). Processed 406800 samples. Loss so far: 0.2282. MRR so far: 0.9595 10 (train): Batch 905 (has 450 samples). Processed 407250 samples. Loss so far: 0.2282. MRR so far: 0.9595 10 (train): Batch 906 (has 450 samples). Processed 407700 samples. Loss so far: 0.2283. MRR so far: 0.9595 10 (train): Batch 907 (has 450 samples). Processed 408150 samples. Loss so far: 0.2284. MRR so far: 0.9595 10 (train): Batch 908 (has 450 samples). Processed 408600 samples. Loss so far: 0.2284. MRR so far: 0.9595 10 (train): Batch 909 (has 450 samples). Processed 409050 samples. Loss so far: 0.2284. MRR so far: 0.9595 10 (train): Batch 910 (has 450 samples). Processed 409500 samples. Loss so far: 0.2283. MRR so far: 0.9595 10 (train): Batch 911 (has 450 samples). Processed 409950 samples. Loss so far: 0.2284. MRR so far: 0.9595 10 (train): Batch 912 (has 450 samples). Processed 410400 samples. Loss so far: 0.2283. MRR so far: 0.9595 10 (train): Batch 913 (has 450 samples). Processed 410850 samples. Loss so far: 0.2284. MRR so far: 0.9595 10 (train): Batch 914 (has 450 samples). Processed 411300 samples. Loss so far: 0.2284. MRR so far: 0.9595  Epoch 10 (train) took 8960.67s [processed 45 samples/second] + Training Loss: 0.228426 +10 (valid): Batch 0 (has 450 samples). Processed 0 samples. Loss so far: 0.0000. MRR so far: 0.0000 10 (valid): Batch 1 (has 450 samples). Processed 450 samples. Loss so far: 3.1814. MRR so far: 0.5406 10 (valid): Batch 2 (has 450 samples). Processed 900 samples. Loss so far: 2.9471. MRR so far: 0.5709 10 (valid): Batch 3 (has 450 samples). Processed 1350 samples. Loss so far: 2.8444. MRR so far: 0.5850 10 (valid): Batch 4 (has 450 samples). Processed 1800 samples. Loss so far: 2.8011. MRR so far: 0.5962 10 (valid): Batch 5 (has 450 samples). Processed 2250 samples. Loss so far: 2.7824. MRR so far: 0.6042 10 (valid): Batch 6 (has 450 samples). Processed 2700 samples. Loss so far: 2.7369. MRR so far: 0.6138 10 (valid): Batch 7 (has 450 samples). Processed 3150 samples. Loss so far: 2.6809. MRR so far: 0.6242 10 (valid): Batch 8 (has 450 samples). Processed 3600 samples. Loss so far: 2.6246. MRR so far: 0.6323 10 (valid): Batch 9 (has 450 samples). Processed 4050 samples. Loss so far: 2.5587. MRR so far: 0.6421 10 (valid): Batch 10 (has 450 samples). Processed 4500 samples. Loss so far: 2.4996. MRR so far: 0.6500 10 (valid): Batch 11 (has 450 samples). Processed 4950 samples. Loss so far: 2.4915. MRR so far: 0.6536 10 (valid): Batch 12 (has 450 samples). Processed 5400 samples. Loss so far: 2.4461. MRR so far: 0.6606 10 (valid): Batch 13 (has 450 samples). Processed 5850 samples. Loss so far: 2.4327. MRR so far: 0.6640 10 (valid): Batch 14 (has 450 samples). Processed 6300 samples. Loss so far: 2.4014. MRR so far: 0.6679 10 (valid): Batch 15 (has 450 samples). Processed 6750 samples. Loss so far: 2.3774. MRR so far: 0.6705 10 (valid): Batch 16 (has 450 samples). Processed 7200 samples. Loss so far: 2.3483. MRR so far: 0.6754 10 (valid): Batch 17 (has 450 samples). Processed 7650 samples. Loss so far: 2.3177. MRR so far: 0.6798 10 (valid): Batch 18 (has 450 samples). Processed 8100 samples. Loss so far: 2.2945. MRR so far: 0.6837 10 (valid): Batch 19 (has 450 samples). Processed 8550 samples. Loss so far: 2.2703. MRR so far: 0.6868 10 (valid): Batch 20 (has 450 samples). Processed 9000 samples. Loss so far: 2.2441. MRR so far: 0.6900 10 (valid): Batch 21 (has 450 samples). Processed 9450 samples. Loss so far: 2.2266. MRR so far: 0.6915 10 (valid): Batch 22 (has 450 samples). Processed 9900 samples. Loss so far: 2.2048. MRR so far: 0.6951 10 (valid): Batch 23 (has 450 samples). Processed 10350 samples. Loss so far: 2.1939. MRR so far: 0.6969 10 (valid): Batch 24 (has 450 samples). Processed 10800 samples. Loss so far: 2.1847. MRR so far: 0.6984 10 (valid): Batch 25 (has 450 samples). Processed 11250 samples. Loss so far: 2.1726. MRR so far: 0.7007 10 (valid): Batch 26 (has 450 samples). Processed 11700 samples. Loss so far: 2.1506. MRR so far: 0.7031 10 (valid): Batch 27 (has 450 samples). Processed 12150 samples. Loss so far: 2.1274. MRR so far: 0.7061 10 (valid): Batch 28 (has 450 samples). Processed 12600 samples. Loss so far: 2.1226. MRR so far: 0.7073 10 (valid): Batch 29 (has 450 samples). Processed 13050 samples. Loss so far: 2.1146. MRR so far: 0.7085 10 (valid): Batch 30 (has 450 samples). Processed 13500 samples. Loss so far: 2.1029. MRR so far: 0.7098 10 (valid): Batch 31 (has 450 samples). Processed 13950 samples. Loss so far: 2.0878. MRR so far: 0.7119 10 (valid): Batch 32 (has 450 samples). Processed 14400 samples. Loss so far: 2.0875. MRR so far: 0.7128 10 (valid): Batch 33 (has 450 samples). Processed 14850 samples. Loss so far: 2.0840. MRR so far: 0.7142 10 (valid): Batch 34 (has 450 samples). Processed 15300 samples. Loss so far: 2.0754. MRR so far: 0.7163 10 (valid): Batch 35 (has 450 samples). Processed 15750 samples. Loss so far: 2.0697. MRR so far: 0.7173 10 (valid): Batch 36 (has 450 samples). Processed 16200 samples. Loss so far: 2.0762. MRR so far: 0.7174 10 (valid): Batch 37 (has 450 samples). Processed 16650 samples. Loss so far: 2.0685. MRR so far: 0.7184 10 (valid): Batch 38 (has 450 samples). Processed 17100 samples. Loss so far: 2.0607. MRR so far: 0.7195 10 (valid): Batch 39 (has 450 samples). Processed 17550 samples. Loss so far: 2.0638. MRR so far: 0.7198 10 (valid): Batch 40 (has 450 samples). Processed 18000 samples. Loss so far: 2.0646. MRR so far: 0.7202 10 (valid): Batch 41 (has 450 samples). Processed 18450 samples. Loss so far: 2.0578. MRR so far: 0.7211 10 (valid): Batch 42 (has 450 samples). Processed 18900 samples. Loss so far: 2.0672. MRR so far: 0.7207 10 (valid): Batch 43 (has 450 samples). Processed 19350 samples. Loss so far: 2.0634. MRR so far: 0.7214 10 (valid): Batch 44 (has 450 samples). Processed 19800 samples. Loss so far: 2.0606. MRR so far: 0.7215 10 (valid): Batch 45 (has 450 samples). Processed 20250 samples. Loss so far: 2.0624. MRR so far: 0.7220 10 (valid): Batch 46 (has 450 samples). Processed 20700 samples. Loss so far: 2.0572. MRR so far: 0.7228 10 (valid): Batch 47 (has 450 samples). Processed 21150 samples. Loss so far: 2.0520. MRR so far: 0.7233 10 (valid): Batch 48 (has 450 samples). Processed 21600 samples. Loss so far: 2.0541. MRR so far: 0.7231 10 (valid): Batch 49 (has 450 samples). Processed 22050 samples. Loss so far: 2.0564. MRR so far: 0.7231 10 (valid): Batch 50 (has 450 samples). Processed 22500 samples. Loss so far: 2.0550. MRR so far: 0.7232  Epoch 10 (valid) took 194.02s [processed 118 samples/second] + Validation: Loss: 2.053283 | MRR: 0.723463 + Best result so far -- saved model as '/network/home/jangeunb/CodeSearchNet/resources/saved_models/SelfAttentionModel-2020-04-17-22-39-10_model_best.pkl.gz'. +==== Epoch 11 ==== +11 (train): Batch 0 (has 450 samples). Processed 0 samples. Loss so far: 0.0000. MRR so far: 0.0000 11 (train): Batch 1 (has 450 samples). Processed 450 samples. Loss so far: 0.2142. MRR so far: 0.9612 11 (train): Batch 2 (has 450 samples). Processed 900 samples. Loss so far: 0.1921. MRR so far: 0.9680 11 (train): Batch 3 (has 450 samples). Processed 1350 samples. 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MRR so far: 0.9616 11 (train): Batch 905 (has 450 samples). Processed 407250 samples. Loss so far: 0.2168. MRR so far: 0.9616 11 (train): Batch 906 (has 450 samples). Processed 407700 samples. Loss so far: 0.2168. MRR so far: 0.9616 11 (train): Batch 907 (has 450 samples). Processed 408150 samples. Loss so far: 0.2168. MRR so far: 0.9615 11 (train): Batch 908 (has 450 samples). Processed 408600 samples. Loss so far: 0.2168. MRR so far: 0.9615 11 (train): Batch 909 (has 450 samples). Processed 409050 samples. Loss so far: 0.2170. MRR so far: 0.9615 11 (train): Batch 910 (has 450 samples). Processed 409500 samples. Loss so far: 0.2170. MRR so far: 0.9615 11 (train): Batch 911 (has 450 samples). Processed 409950 samples. Loss so far: 0.2171. MRR so far: 0.9615 11 (train): Batch 912 (has 450 samples). Processed 410400 samples. Loss so far: 0.2171. MRR so far: 0.9615 11 (train): Batch 913 (has 450 samples). Processed 410850 samples. Loss so far: 0.2171. MRR so far: 0.9615 11 (train): Batch 914 (has 450 samples). Processed 411300 samples. Loss so far: 0.2172. MRR so far: 0.9615  Epoch 11 (train) took 8790.87s [processed 46 samples/second] + Training Loss: 0.217254 +11 (valid): Batch 0 (has 450 samples). Processed 0 samples. Loss so far: 0.0000. MRR so far: 0.0000 11 (valid): Batch 1 (has 450 samples). Processed 450 samples. Loss so far: 3.0601. MRR so far: 0.5534 11 (valid): Batch 2 (has 450 samples). Processed 900 samples. Loss so far: 2.8079. MRR so far: 0.5952 11 (valid): Batch 3 (has 450 samples). Processed 1350 samples. Loss so far: 2.7218. MRR so far: 0.6073 11 (valid): Batch 4 (has 450 samples). Processed 1800 samples. Loss so far: 2.6992. MRR so far: 0.6090 11 (valid): Batch 5 (has 450 samples). Processed 2250 samples. Loss so far: 2.6536. MRR so far: 0.6191 11 (valid): Batch 6 (has 450 samples). Processed 2700 samples. Loss so far: 2.6204. MRR so far: 0.6301 11 (valid): Batch 7 (has 450 samples). Processed 3150 samples. Loss so far: 2.5925. MRR so far: 0.6380 11 (valid): Batch 8 (has 450 samples). Processed 3600 samples. Loss so far: 2.5461. MRR so far: 0.6448 11 (valid): Batch 9 (has 450 samples). Processed 4050 samples. Loss so far: 2.5031. MRR so far: 0.6529 11 (valid): Batch 10 (has 450 samples). Processed 4500 samples. Loss so far: 2.4524. MRR so far: 0.6603 11 (valid): Batch 11 (has 450 samples). Processed 4950 samples. Loss so far: 2.4410. MRR so far: 0.6626 11 (valid): Batch 12 (has 450 samples). Processed 5400 samples. Loss so far: 2.4120. MRR so far: 0.6662 11 (valid): Batch 13 (has 450 samples). Processed 5850 samples. Loss so far: 2.3988. MRR so far: 0.6698 11 (valid): Batch 14 (has 450 samples). Processed 6300 samples. Loss so far: 2.3703. MRR so far: 0.6732 11 (valid): Batch 15 (has 450 samples). Processed 6750 samples. Loss so far: 2.3408. MRR so far: 0.6779 11 (valid): Batch 16 (has 450 samples). Processed 7200 samples. Loss so far: 2.3143. MRR so far: 0.6819 11 (valid): Batch 17 (has 450 samples). Processed 7650 samples. Loss so far: 2.2806. MRR so far: 0.6855 11 (valid): Batch 18 (has 450 samples). Processed 8100 samples. Loss so far: 2.2611. MRR so far: 0.6882 11 (valid): Batch 19 (has 450 samples). Processed 8550 samples. Loss so far: 2.2372. MRR so far: 0.6912 11 (valid): Batch 20 (has 450 samples). Processed 9000 samples. Loss so far: 2.2146. MRR so far: 0.6937 11 (valid): Batch 21 (has 450 samples). Processed 9450 samples. Loss so far: 2.1917. MRR so far: 0.6958 11 (valid): Batch 22 (has 450 samples). Processed 9900 samples. Loss so far: 2.1717. MRR so far: 0.6990 11 (valid): Batch 23 (has 450 samples). Processed 10350 samples. Loss so far: 2.1597. MRR so far: 0.7015 11 (valid): Batch 24 (has 450 samples). Processed 10800 samples. Loss so far: 2.1517. MRR so far: 0.7026 11 (valid): Batch 25 (has 450 samples). Processed 11250 samples. Loss so far: 2.1434. MRR so far: 0.7040 11 (valid): Batch 26 (has 450 samples). Processed 11700 samples. Loss so far: 2.1242. MRR so far: 0.7064 11 (valid): Batch 27 (has 450 samples). Processed 12150 samples. Loss so far: 2.1007. MRR so far: 0.7093 11 (valid): Batch 28 (has 450 samples). Processed 12600 samples. Loss so far: 2.0954. MRR so far: 0.7105 11 (valid): Batch 29 (has 450 samples). Processed 13050 samples. Loss so far: 2.0857. MRR so far: 0.7120 11 (valid): Batch 30 (has 450 samples). Processed 13500 samples. Loss so far: 2.0692. MRR so far: 0.7136 11 (valid): Batch 31 (has 450 samples). Processed 13950 samples. Loss so far: 2.0541. MRR so far: 0.7159 11 (valid): Batch 32 (has 450 samples). Processed 14400 samples. Loss so far: 2.0500. MRR so far: 0.7165 11 (valid): Batch 33 (has 450 samples). Processed 14850 samples. Loss so far: 2.0522. MRR so far: 0.7174 11 (valid): Batch 34 (has 450 samples). Processed 15300 samples. Loss so far: 2.0435. MRR so far: 0.7191 11 (valid): Batch 35 (has 450 samples). Processed 15750 samples. Loss so far: 2.0384. MRR so far: 0.7196 11 (valid): Batch 36 (has 450 samples). Processed 16200 samples. Loss so far: 2.0420. MRR so far: 0.7197 11 (valid): Batch 37 (has 450 samples). Processed 16650 samples. Loss so far: 2.0321. MRR so far: 0.7206 11 (valid): Batch 38 (has 450 samples). Processed 17100 samples. Loss so far: 2.0295. MRR so far: 0.7214 11 (valid): Batch 39 (has 450 samples). Processed 17550 samples. Loss so far: 2.0317. MRR so far: 0.7216 11 (valid): Batch 40 (has 450 samples). Processed 18000 samples. Loss so far: 2.0294. MRR so far: 0.7222 11 (valid): Batch 41 (has 450 samples). Processed 18450 samples. Loss so far: 2.0208. MRR so far: 0.7231 11 (valid): Batch 42 (has 450 samples). Processed 18900 samples. Loss so far: 2.0285. MRR so far: 0.7227 11 (valid): Batch 43 (has 450 samples). Processed 19350 samples. Loss so far: 2.0228. MRR so far: 0.7232 11 (valid): Batch 44 (has 450 samples). Processed 19800 samples. Loss so far: 2.0221. MRR so far: 0.7235 11 (valid): Batch 45 (has 450 samples). Processed 20250 samples. Loss so far: 2.0228. MRR so far: 0.7238 11 (valid): Batch 46 (has 450 samples). Processed 20700 samples. Loss so far: 2.0153. MRR so far: 0.7244 11 (valid): Batch 47 (has 450 samples). Processed 21150 samples. Loss so far: 2.0121. MRR so far: 0.7243 11 (valid): Batch 48 (has 450 samples). Processed 21600 samples. Loss so far: 2.0142. MRR so far: 0.7241 11 (valid): Batch 49 (has 450 samples). Processed 22050 samples. Loss so far: 2.0179. MRR so far: 0.7243 11 (valid): Batch 50 (has 450 samples). Processed 22500 samples. Loss so far: 2.0210. MRR so far: 0.7240  Epoch 11 (valid) took 193.78s [processed 118 samples/second] + Validation: Loss: 2.020079 | MRR: 0.724117 + Best result so far -- saved model as '/network/home/jangeunb/CodeSearchNet/resources/saved_models/SelfAttentionModel-2020-04-17-22-39-10_model_best.pkl.gz'. +==== Epoch 12 ==== +12 (train): Batch 0 (has 450 samples). Processed 0 samples. Loss so far: 0.0000. MRR so far: 0.0000 12 (train): Batch 1 (has 450 samples). Processed 450 samples. Loss so far: 0.1671. MRR so far: 0.9717 12 (train): Batch 2 (has 450 samples). Processed 900 samples. Loss so far: 0.1491. MRR so far: 0.9721 12 (train): Batch 3 (has 450 samples). Processed 1350 samples. Loss so far: 0.1586. MRR so far: 0.9709 12 (train): Batch 4 (has 450 samples). Processed 1800 samples. Loss so far: 0.1489. MRR so far: 0.9729 12 (train): Batch 5 (has 450 samples). Processed 2250 samples. Loss so far: 0.1539. MRR so far: 0.9726 12 (train): Batch 6 (has 450 samples). Processed 2700 samples. Loss so far: 0.1610. MRR so far: 0.9716 12 (train): Batch 7 (has 450 samples). Processed 3150 samples. Loss so far: 0.1616. MRR so far: 0.9709 12 (train): Batch 8 (has 450 samples). Processed 3600 samples. Loss so far: 0.1721. MRR so far: 0.9686 12 (train): Batch 9 (has 450 samples). Processed 4050 samples. Loss so far: 0.1783. 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MRR so far: 0.9638 12 (train): Batch 911 (has 450 samples). Processed 409950 samples. Loss so far: 0.2052. MRR so far: 0.9638 12 (train): Batch 912 (has 450 samples). Processed 410400 samples. Loss so far: 0.2053. MRR so far: 0.9638 12 (train): Batch 913 (has 450 samples). Processed 410850 samples. Loss so far: 0.2054. MRR so far: 0.9637 12 (train): Batch 914 (has 450 samples). Processed 411300 samples. Loss so far: 0.2055. MRR so far: 0.9637  Epoch 12 (train) took 8757.78s [processed 47 samples/second] + Training Loss: 0.205576 +12 (valid): Batch 0 (has 450 samples). Processed 0 samples. Loss so far: 0.0000. MRR so far: 0.0000 12 (valid): Batch 1 (has 450 samples). Processed 450 samples. Loss so far: 2.9402. MRR so far: 0.5504 12 (valid): Batch 2 (has 450 samples). Processed 900 samples. Loss so far: 2.7941. MRR so far: 0.5831 12 (valid): Batch 3 (has 450 samples). Processed 1350 samples. Loss so far: 2.7239. MRR so far: 0.5978 12 (valid): Batch 4 (has 450 samples). Processed 1800 samples. Loss so far: 2.6849. MRR so far: 0.6072 12 (valid): Batch 5 (has 450 samples). Processed 2250 samples. Loss so far: 2.6452. MRR so far: 0.6151 12 (valid): Batch 6 (has 450 samples). Processed 2700 samples. Loss so far: 2.6095. MRR so far: 0.6256 12 (valid): Batch 7 (has 450 samples). Processed 3150 samples. Loss so far: 2.6050. MRR so far: 0.6331 12 (valid): Batch 8 (has 450 samples). Processed 3600 samples. Loss so far: 2.5516. MRR so far: 0.6423 12 (valid): Batch 9 (has 450 samples). Processed 4050 samples. Loss so far: 2.5036. MRR so far: 0.6491 12 (valid): Batch 10 (has 450 samples). Processed 4500 samples. Loss so far: 2.4532. MRR so far: 0.6566 12 (valid): Batch 11 (has 450 samples). Processed 4950 samples. Loss so far: 2.4441. MRR so far: 0.6599 12 (valid): Batch 12 (has 450 samples). Processed 5400 samples. Loss so far: 2.4203. MRR so far: 0.6640 12 (valid): Batch 13 (has 450 samples). Processed 5850 samples. Loss so far: 2.4021. MRR so far: 0.6671 12 (valid): Batch 14 (has 450 samples). Processed 6300 samples. Loss so far: 2.3709. MRR so far: 0.6710 12 (valid): Batch 15 (has 450 samples). Processed 6750 samples. Loss so far: 2.3414. MRR so far: 0.6746 12 (valid): Batch 16 (has 450 samples). Processed 7200 samples. Loss so far: 2.3201. MRR so far: 0.6775 12 (valid): Batch 17 (has 450 samples). Processed 7650 samples. Loss so far: 2.2853. MRR so far: 0.6827 12 (valid): Batch 18 (has 450 samples). Processed 8100 samples. Loss so far: 2.2660. MRR so far: 0.6860 12 (valid): Batch 19 (has 450 samples). Processed 8550 samples. Loss so far: 2.2437. MRR so far: 0.6886 12 (valid): Batch 20 (has 450 samples). Processed 9000 samples. Loss so far: 2.2238. MRR so far: 0.6913 12 (valid): Batch 21 (has 450 samples). Processed 9450 samples. Loss so far: 2.2039. MRR so far: 0.6935 12 (valid): Batch 22 (has 450 samples). Processed 9900 samples. Loss so far: 2.1802. MRR so far: 0.6969 12 (valid): Batch 23 (has 450 samples). Processed 10350 samples. Loss so far: 2.1694. MRR so far: 0.6985 12 (valid): Batch 24 (has 450 samples). Processed 10800 samples. Loss so far: 2.1594. MRR so far: 0.7004 12 (valid): Batch 25 (has 450 samples). Processed 11250 samples. Loss so far: 2.1485. MRR so far: 0.7024 12 (valid): Batch 26 (has 450 samples). Processed 11700 samples. Loss so far: 2.1304. MRR so far: 0.7049 12 (valid): Batch 27 (has 450 samples). Processed 12150 samples. Loss so far: 2.1056. MRR so far: 0.7079 12 (valid): Batch 28 (has 450 samples). Processed 12600 samples. Loss so far: 2.1008. MRR so far: 0.7090 12 (valid): Batch 29 (has 450 samples). Processed 13050 samples. Loss so far: 2.0908. MRR so far: 0.7105 12 (valid): Batch 30 (has 450 samples). Processed 13500 samples. Loss so far: 2.0771. MRR so far: 0.7114 12 (valid): Batch 31 (has 450 samples). Processed 13950 samples. Loss so far: 2.0639. MRR so far: 0.7138 12 (valid): Batch 32 (has 450 samples). Processed 14400 samples. Loss so far: 2.0623. MRR so far: 0.7146 12 (valid): Batch 33 (has 450 samples). Processed 14850 samples. Loss so far: 2.0648. MRR so far: 0.7155 12 (valid): Batch 34 (has 450 samples). Processed 15300 samples. Loss so far: 2.0574. MRR so far: 0.7169 12 (valid): Batch 35 (has 450 samples). Processed 15750 samples. Loss so far: 2.0513. MRR so far: 0.7178 12 (valid): Batch 36 (has 450 samples). Processed 16200 samples. Loss so far: 2.0549. MRR so far: 0.7180 12 (valid): Batch 37 (has 450 samples). Processed 16650 samples. Loss so far: 2.0472. MRR so far: 0.7191 12 (valid): Batch 38 (has 450 samples). Processed 17100 samples. Loss so far: 2.0388. MRR so far: 0.7203 12 (valid): Batch 39 (has 450 samples). Processed 17550 samples. Loss so far: 2.0424. MRR so far: 0.7203 12 (valid): Batch 40 (has 450 samples). Processed 18000 samples. Loss so far: 2.0441. MRR so far: 0.7205 12 (valid): Batch 41 (has 450 samples). Processed 18450 samples. Loss so far: 2.0343. MRR so far: 0.7218 12 (valid): Batch 42 (has 450 samples). Processed 18900 samples. Loss so far: 2.0425. MRR so far: 0.7214 12 (valid): Batch 43 (has 450 samples). Processed 19350 samples. Loss so far: 2.0437. MRR so far: 0.7215 12 (valid): Batch 44 (has 450 samples). Processed 19800 samples. Loss so far: 2.0395. MRR so far: 0.7219 12 (valid): Batch 45 (has 450 samples). Processed 20250 samples. Loss so far: 2.0408. MRR so far: 0.7221 12 (valid): Batch 46 (has 450 samples). Processed 20700 samples. Loss so far: 2.0351. MRR so far: 0.7226 12 (valid): Batch 47 (has 450 samples). Processed 21150 samples. Loss so far: 2.0314. MRR so far: 0.7232 12 (valid): Batch 48 (has 450 samples). Processed 21600 samples. Loss so far: 2.0336. MRR so far: 0.7229 12 (valid): Batch 49 (has 450 samples). Processed 22050 samples. Loss so far: 2.0335. MRR so far: 0.7232 12 (valid): Batch 50 (has 450 samples). Processed 22500 samples. Loss so far: 2.0358. MRR so far: 0.7227  Epoch 12 (valid) took 192.46s [processed 119 samples/second] + Validation: Loss: 2.034787 | MRR: 0.722789 +==== Epoch 13 ==== +13 (train): Batch 0 (has 450 samples). Processed 0 samples. Loss so far: 0.0000. MRR so far: 0.0000 13 (train): Batch 1 (has 450 samples). Processed 450 samples. Loss so far: 0.1750. MRR so far: 0.9677 13 (train): Batch 2 (has 450 samples). Processed 900 samples. Loss so far: 0.1778. MRR so far: 0.9674 13 (train): Batch 3 (has 450 samples). Processed 1350 samples. Loss so far: 0.1698. MRR so far: 0.9693 13 (train): Batch 4 (has 450 samples). Processed 1800 samples. Loss so far: 0.1884. MRR so far: 0.9662 13 (train): Batch 5 (has 450 samples). Processed 2250 samples. Loss so far: 0.1837. MRR so far: 0.9671 13 (train): Batch 6 (has 450 samples). Processed 2700 samples. Loss so far: 0.1816. MRR so far: 0.9679 13 (train): Batch 7 (has 450 samples). Processed 3150 samples. Loss so far: 0.1763. MRR so far: 0.9692 13 (train): Batch 8 (has 450 samples). Processed 3600 samples. Loss so far: 0.1694. MRR so far: 0.9706 13 (train): Batch 9 (has 450 samples). Processed 4050 samples. Loss so far: 0.1678. MRR so far: 0.9706 13 (train): Batch 10 (has 450 samples). Processed 4500 samples. Loss so far: 0.1739. MRR so far: 0.9705 13 (train): Batch 11 (has 450 samples). Processed 4950 samples. Loss so far: 0.1796. MRR so far: 0.9702 13 (train): Batch 12 (has 450 samples). Processed 5400 samples. Loss so far: 0.1847. MRR so far: 0.9690 13 (train): Batch 13 (has 450 samples). Processed 5850 samples. Loss so far: 0.1848. MRR so far: 0.9693 13 (train): Batch 14 (has 450 samples). Processed 6300 samples. Loss so far: 0.1863. MRR so far: 0.9692 13 (train): Batch 15 (has 450 samples). Processed 6750 samples. Loss so far: 0.1833. MRR so far: 0.9693 13 (train): Batch 16 (has 450 samples). Processed 7200 samples. Loss so far: 0.1821. MRR so far: 0.9697 13 (train): Batch 17 (has 450 samples). Processed 7650 samples. Loss so far: 0.1832. MRR so far: 0.9696 13 (train): Batch 18 (has 450 samples). Processed 8100 samples. Loss so far: 0.1843. MRR so far: 0.9694 13 (train): Batch 19 (has 450 samples). Processed 8550 samples. Loss so far: 0.1809. MRR so far: 0.9700 13 (train): Batch 20 (has 450 samples). Processed 9000 samples. Loss so far: 0.1806. MRR so far: 0.9700 13 (train): Batch 21 (has 450 samples). Processed 9450 samples. Loss so far: 0.1807. MRR so far: 0.9698 13 (train): Batch 22 (has 450 samples). Processed 9900 samples. Loss so far: 0.1801. MRR so far: 0.9695 13 (train): Batch 23 (has 450 samples). Processed 10350 samples. Loss so far: 0.1793. MRR so far: 0.9698 13 (train): Batch 24 (has 450 samples). Processed 10800 samples. Loss so far: 0.1797. MRR so far: 0.9698 13 (train): Batch 25 (has 450 samples). Processed 11250 samples. Loss so far: 0.1783. MRR so far: 0.9702 13 (train): Batch 26 (has 450 samples). Processed 11700 samples. Loss so far: 0.1800. MRR so far: 0.9699 13 (train): Batch 27 (has 450 samples). Processed 12150 samples. Loss so far: 0.1820. MRR so far: 0.9695 13 (train): Batch 28 (has 450 samples). Processed 12600 samples. Loss so far: 0.1817. MRR so far: 0.9694 13 (train): Batch 29 (has 450 samples). Processed 13050 samples. Loss so far: 0.1811. MRR so far: 0.9694 13 (train): Batch 30 (has 450 samples). Processed 13500 samples. Loss so far: 0.1810. MRR so far: 0.9694 13 (train): Batch 31 (has 450 samples). Processed 13950 samples. Loss so far: 0.1801. MRR so far: 0.9694 13 (train): Batch 32 (has 450 samples). Processed 14400 samples. Loss so far: 0.1807. MRR so far: 0.9691 13 (train): Batch 33 (has 450 samples). Processed 14850 samples. Loss so far: 0.1806. MRR so far: 0.9690 13 (train): Batch 34 (has 450 samples). Processed 15300 samples. Loss so far: 0.1805. MRR so far: 0.9690 13 (train): Batch 35 (has 450 samples). Processed 15750 samples. Loss so far: 0.1809. 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MRR so far: 0.9651 13 (train): Batch 909 (has 450 samples). Processed 409050 samples. Loss so far: 0.1973. MRR so far: 0.9651 13 (train): Batch 910 (has 450 samples). Processed 409500 samples. Loss so far: 0.1973. MRR so far: 0.9651 13 (train): Batch 911 (has 450 samples). Processed 409950 samples. Loss so far: 0.1973. MRR so far: 0.9651 13 (train): Batch 912 (has 450 samples). Processed 410400 samples. Loss so far: 0.1973. MRR so far: 0.9651 13 (train): Batch 913 (has 450 samples). Processed 410850 samples. Loss so far: 0.1973. MRR so far: 0.9651 13 (train): Batch 914 (has 450 samples). Processed 411300 samples. Loss so far: 0.1972. MRR so far: 0.9651  Epoch 13 (train) took 8650.46s [processed 47 samples/second] + Training Loss: 0.197224 +13 (valid): Batch 0 (has 450 samples). Processed 0 samples. Loss so far: 0.0000. MRR so far: 0.0000 13 (valid): Batch 1 (has 450 samples). Processed 450 samples. Loss so far: 3.2772. MRR so far: 0.5378 13 (valid): Batch 2 (has 450 samples). Processed 900 samples. Loss so far: 3.0196. MRR so far: 0.5813 13 (valid): Batch 3 (has 450 samples). Processed 1350 samples. Loss so far: 2.9311. MRR so far: 0.5922 13 (valid): Batch 4 (has 450 samples). Processed 1800 samples. Loss so far: 2.8849. MRR so far: 0.6026 13 (valid): Batch 5 (has 450 samples). Processed 2250 samples. Loss so far: 2.8123. MRR so far: 0.6153 13 (valid): Batch 6 (has 450 samples). Processed 2700 samples. Loss so far: 2.7357. MRR so far: 0.6256 13 (valid): Batch 7 (has 450 samples). Processed 3150 samples. Loss so far: 2.6837. MRR so far: 0.6338 13 (valid): Batch 8 (has 450 samples). Processed 3600 samples. Loss so far: 2.6220. MRR so far: 0.6412 13 (valid): Batch 9 (has 450 samples). Processed 4050 samples. Loss so far: 2.5727. MRR so far: 0.6493 13 (valid): Batch 10 (has 450 samples). Processed 4500 samples. Loss so far: 2.5136. MRR so far: 0.6586 13 (valid): Batch 11 (has 450 samples). Processed 4950 samples. Loss so far: 2.5020. MRR so far: 0.6607 13 (valid): Batch 12 (has 450 samples). Processed 5400 samples. Loss so far: 2.4659. MRR so far: 0.6667 13 (valid): Batch 13 (has 450 samples). Processed 5850 samples. Loss so far: 2.4429. MRR so far: 0.6699 13 (valid): Batch 14 (has 450 samples). Processed 6300 samples. Loss so far: 2.4046. MRR so far: 0.6733 13 (valid): Batch 15 (has 450 samples). Processed 6750 samples. Loss so far: 2.3831. MRR so far: 0.6776 13 (valid): Batch 16 (has 450 samples). Processed 7200 samples. Loss so far: 2.3500. MRR so far: 0.6820 13 (valid): Batch 17 (has 450 samples). Processed 7650 samples. Loss so far: 2.3144. MRR so far: 0.6862 13 (valid): Batch 18 (has 450 samples). Processed 8100 samples. Loss so far: 2.2956. MRR so far: 0.6889 13 (valid): Batch 19 (has 450 samples). Processed 8550 samples. Loss so far: 2.2720. MRR so far: 0.6920 13 (valid): Batch 20 (has 450 samples). Processed 9000 samples. Loss so far: 2.2522. MRR so far: 0.6948 13 (valid): Batch 21 (has 450 samples). Processed 9450 samples. Loss so far: 2.2307. MRR so far: 0.6966 13 (valid): Batch 22 (has 450 samples). Processed 9900 samples. Loss so far: 2.2100. MRR so far: 0.6997 13 (valid): Batch 23 (has 450 samples). Processed 10350 samples. Loss so far: 2.1929. MRR so far: 0.7024 13 (valid): Batch 24 (has 450 samples). Processed 10800 samples. Loss so far: 2.1825. MRR so far: 0.7045 13 (valid): Batch 25 (has 450 samples). Processed 11250 samples. Loss so far: 2.1765. MRR so far: 0.7063 13 (valid): Batch 26 (has 450 samples). Processed 11700 samples. Loss so far: 2.1575. MRR so far: 0.7083 13 (valid): Batch 27 (has 450 samples). Processed 12150 samples. Loss so far: 2.1391. MRR so far: 0.7109 13 (valid): Batch 28 (has 450 samples). Processed 12600 samples. Loss so far: 2.1318. MRR so far: 0.7124 13 (valid): Batch 29 (has 450 samples). Processed 13050 samples. Loss so far: 2.1301. MRR so far: 0.7130 13 (valid): Batch 30 (has 450 samples). Processed 13500 samples. Loss so far: 2.1189. 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MRR so far: 0.7229 13 (valid): Batch 40 (has 450 samples). Processed 18000 samples. Loss so far: 2.0796. MRR so far: 0.7233 13 (valid): Batch 41 (has 450 samples). Processed 18450 samples. Loss so far: 2.0683. MRR so far: 0.7247 13 (valid): Batch 42 (has 450 samples). Processed 18900 samples. Loss so far: 2.0779. MRR so far: 0.7241 13 (valid): Batch 43 (has 450 samples). Processed 19350 samples. Loss so far: 2.0750. MRR so far: 0.7246 13 (valid): Batch 44 (has 450 samples). Processed 19800 samples. Loss so far: 2.0727. MRR so far: 0.7250 13 (valid): Batch 45 (has 450 samples). Processed 20250 samples. Loss so far: 2.0717. MRR so far: 0.7253 13 (valid): Batch 46 (has 450 samples). Processed 20700 samples. Loss so far: 2.0659. MRR so far: 0.7257 13 (valid): Batch 47 (has 450 samples). Processed 21150 samples. Loss so far: 2.0583. MRR so far: 0.7262 13 (valid): Batch 48 (has 450 samples). Processed 21600 samples. Loss so far: 2.0633. MRR so far: 0.7258 13 (valid): Batch 49 (has 450 samples). Processed 22050 samples. Loss so far: 2.0647. MRR so far: 0.7256 13 (valid): Batch 50 (has 450 samples). Processed 22500 samples. Loss so far: 2.0670. MRR so far: 0.7255  Epoch 13 (valid) took 185.12s [processed 123 samples/second] + Validation: Loss: 2.064758 | MRR: 0.725738 + Best result so far -- saved model as '/network/home/jangeunb/CodeSearchNet/resources/saved_models/SelfAttentionModel-2020-04-17-22-39-10_model_best.pkl.gz'. +==== Epoch 14 ==== +14 (train): Batch 0 (has 450 samples). Processed 0 samples. Loss so far: 0.0000. MRR so far: 0.0000 14 (train): Batch 1 (has 450 samples). Processed 450 samples. Loss so far: 0.1702. MRR so far: 0.9697 14 (train): Batch 2 (has 450 samples). Processed 900 samples. Loss so far: 0.1703. MRR so far: 0.9692 14 (train): Batch 3 (has 450 samples). Processed 1350 samples. Loss so far: 0.1517. MRR so far: 0.9715 14 (train): Batch 4 (has 450 samples). Processed 1800 samples. 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MRR so far: 0.9667  Epoch 14 (train) took 8613.26s [processed 47 samples/second] + Training Loss: 0.187753 +14 (valid): Batch 0 (has 450 samples). Processed 0 samples. Loss so far: 0.0000. MRR so far: 0.0000 14 (valid): Batch 1 (has 450 samples). Processed 450 samples. Loss so far: 3.2176. MRR so far: 0.5376 14 (valid): Batch 2 (has 450 samples). Processed 900 samples. Loss so far: 2.9577. MRR so far: 0.5793 14 (valid): Batch 3 (has 450 samples). Processed 1350 samples. Loss so far: 2.8518. MRR so far: 0.5961 14 (valid): Batch 4 (has 450 samples). Processed 1800 samples. Loss so far: 2.8354. MRR so far: 0.6035 14 (valid): Batch 5 (has 450 samples). Processed 2250 samples. Loss so far: 2.7846. MRR so far: 0.6142 14 (valid): Batch 6 (has 450 samples). Processed 2700 samples. Loss so far: 2.7209. MRR so far: 0.6244 14 (valid): Batch 7 (has 450 samples). Processed 3150 samples. Loss so far: 2.6659. MRR so far: 0.6328 14 (valid): Batch 8 (has 450 samples). Processed 3600 samples. Loss so far: 2.6190. MRR so far: 0.6408 14 (valid): Batch 9 (has 450 samples). Processed 4050 samples. Loss so far: 2.5791. MRR so far: 0.6471 14 (valid): Batch 10 (has 450 samples). Processed 4500 samples. Loss so far: 2.5066. MRR so far: 0.6569 14 (valid): Batch 11 (has 450 samples). Processed 4950 samples. Loss so far: 2.4966. MRR so far: 0.6590 14 (valid): Batch 12 (has 450 samples). Processed 5400 samples. Loss so far: 2.4659. MRR so far: 0.6631 14 (valid): Batch 13 (has 450 samples). Processed 5850 samples. Loss so far: 2.4465. MRR so far: 0.6660 14 (valid): Batch 14 (has 450 samples). Processed 6300 samples. Loss so far: 2.4271. MRR so far: 0.6690 14 (valid): Batch 15 (has 450 samples). Processed 6750 samples. Loss so far: 2.3918. MRR so far: 0.6733 14 (valid): Batch 16 (has 450 samples). Processed 7200 samples. Loss so far: 2.3596. MRR so far: 0.6770 14 (valid): Batch 17 (has 450 samples). Processed 7650 samples. Loss so far: 2.3226. MRR so far: 0.6814 14 (valid): Batch 18 (has 450 samples). Processed 8100 samples. Loss so far: 2.3038. MRR so far: 0.6840 14 (valid): Batch 19 (has 450 samples). Processed 8550 samples. Loss so far: 2.2846. MRR so far: 0.6867 14 (valid): Batch 20 (has 450 samples). Processed 9000 samples. Loss so far: 2.2657. MRR so far: 0.6893 14 (valid): Batch 21 (has 450 samples). Processed 9450 samples. Loss so far: 2.2367. MRR so far: 0.6924 14 (valid): Batch 22 (has 450 samples). Processed 9900 samples. Loss so far: 2.2154. MRR so far: 0.6956 14 (valid): Batch 23 (has 450 samples). Processed 10350 samples. Loss so far: 2.2013. MRR so far: 0.6971 14 (valid): Batch 24 (has 450 samples). Processed 10800 samples. Loss so far: 2.1883. MRR so far: 0.6991 14 (valid): Batch 25 (has 450 samples). Processed 11250 samples. Loss so far: 2.1813. MRR so far: 0.7009 14 (valid): Batch 26 (has 450 samples). Processed 11700 samples. Loss so far: 2.1603. MRR so far: 0.7037 14 (valid): Batch 27 (has 450 samples). Processed 12150 samples. Loss so far: 2.1410. MRR so far: 0.7065 14 (valid): Batch 28 (has 450 samples). Processed 12600 samples. Loss so far: 2.1350. MRR so far: 0.7080 14 (valid): Batch 29 (has 450 samples). Processed 13050 samples. Loss so far: 2.1281. MRR so far: 0.7094 14 (valid): Batch 30 (has 450 samples). Processed 13500 samples. Loss so far: 2.1111. MRR so far: 0.7108 14 (valid): Batch 31 (has 450 samples). Processed 13950 samples. Loss so far: 2.0964. MRR so far: 0.7128 14 (valid): Batch 32 (has 450 samples). Processed 14400 samples. Loss so far: 2.0935. MRR so far: 0.7143 14 (valid): Batch 33 (has 450 samples). Processed 14850 samples. Loss so far: 2.0902. MRR so far: 0.7157 14 (valid): Batch 34 (has 450 samples). Processed 15300 samples. Loss so far: 2.0829. MRR so far: 0.7172 14 (valid): Batch 35 (has 450 samples). Processed 15750 samples. Loss so far: 2.0774. MRR so far: 0.7178 14 (valid): Batch 36 (has 450 samples). Processed 16200 samples. Loss so far: 2.0856. MRR so far: 0.7169 14 (valid): Batch 37 (has 450 samples). Processed 16650 samples. Loss so far: 2.0768. MRR so far: 0.7179 14 (valid): Batch 38 (has 450 samples). Processed 17100 samples. Loss so far: 2.0653. MRR so far: 0.7197 14 (valid): Batch 39 (has 450 samples). Processed 17550 samples. Loss so far: 2.0697. MRR so far: 0.7197 14 (valid): Batch 40 (has 450 samples). Processed 18000 samples. Loss so far: 2.0684. MRR so far: 0.7200 14 (valid): Batch 41 (has 450 samples). Processed 18450 samples. Loss so far: 2.0583. MRR so far: 0.7212 14 (valid): Batch 42 (has 450 samples). Processed 18900 samples. Loss so far: 2.0635. MRR so far: 0.7210 14 (valid): Batch 43 (has 450 samples). Processed 19350 samples. Loss so far: 2.0610. MRR so far: 0.7212 14 (valid): Batch 44 (has 450 samples). Processed 19800 samples. Loss so far: 2.0556. MRR so far: 0.7218 14 (valid): Batch 45 (has 450 samples). Processed 20250 samples. Loss so far: 2.0540. MRR so far: 0.7222 14 (valid): Batch 46 (has 450 samples). Processed 20700 samples. Loss so far: 2.0475. MRR so far: 0.7230 14 (valid): Batch 47 (has 450 samples). Processed 21150 samples. Loss so far: 2.0421. MRR so far: 0.7237 14 (valid): Batch 48 (has 450 samples). Processed 21600 samples. Loss so far: 2.0446. MRR so far: 0.7234 14 (valid): Batch 49 (has 450 samples). Processed 22050 samples. Loss so far: 2.0460. MRR so far: 0.7236 14 (valid): Batch 50 (has 450 samples). Processed 22500 samples. Loss so far: 2.0465. MRR so far: 0.7236  Epoch 14 (valid) took 190.17s [processed 120 samples/second] + Validation: Loss: 2.045440 | MRR: 0.723933 +==== Epoch 15 ==== +15 (train): Batch 0 (has 450 samples). Processed 0 samples. Loss so far: 0.0000. MRR so far: 0.0000 15 (train): Batch 1 (has 450 samples). Processed 450 samples. Loss so far: 0.1260. MRR so far: 0.9767 15 (train): Batch 2 (has 450 samples). Processed 900 samples. Loss so far: 0.1485. MRR so far: 0.9731 15 (train): Batch 3 (has 450 samples). Processed 1350 samples. Loss so far: 0.1462. MRR so far: 0.9734 15 (train): Batch 4 (has 450 samples). Processed 1800 samples. Loss so far: 0.1513. MRR so far: 0.9741 15 (train): Batch 5 (has 450 samples). Processed 2250 samples. Loss so far: 0.1553. MRR so far: 0.9739 15 (train): Batch 6 (has 450 samples). Processed 2700 samples. Loss so far: 0.1596. MRR so far: 0.9730 15 (train): Batch 7 (has 450 samples). Processed 3150 samples. Loss so far: 0.1582. MRR so far: 0.9727 15 (train): Batch 8 (has 450 samples). Processed 3600 samples. Loss so far: 0.1541. MRR so far: 0.9732 15 (train): Batch 9 (has 450 samples). Processed 4050 samples. Loss so far: 0.1582. MRR so far: 0.9723 15 (train): Batch 10 (has 450 samples). Processed 4500 samples. Loss so far: 0.1618. MRR so far: 0.9721 15 (train): Batch 11 (has 450 samples). Processed 4950 samples. Loss so far: 0.1576. MRR so far: 0.9730 15 (train): Batch 12 (has 450 samples). Processed 5400 samples. Loss so far: 0.1564. MRR so far: 0.9733 15 (train): Batch 13 (has 450 samples). Processed 5850 samples. Loss so far: 0.1584. MRR so far: 0.9727 15 (train): Batch 14 (has 450 samples). Processed 6300 samples. Loss so far: 0.1600. MRR so far: 0.9723 15 (train): Batch 15 (has 450 samples). Processed 6750 samples. Loss so far: 0.1552. MRR so far: 0.9730 15 (train): Batch 16 (has 450 samples). Processed 7200 samples. Loss so far: 0.1532. MRR so far: 0.9735 15 (train): Batch 17 (has 450 samples). Processed 7650 samples. Loss so far: 0.1540. MRR so far: 0.9732 15 (train): Batch 18 (has 450 samples). Processed 8100 samples. Loss so far: 0.1522. MRR so far: 0.9733 15 (train): Batch 19 (has 450 samples). Processed 8550 samples. Loss so far: 0.1516. MRR so far: 0.9733 15 (train): Batch 20 (has 450 samples). Processed 9000 samples. Loss so far: 0.1516. MRR so far: 0.9733 15 (train): Batch 21 (has 450 samples). Processed 9450 samples. Loss so far: 0.1503. MRR so far: 0.9736 15 (train): Batch 22 (has 450 samples). Processed 9900 samples. Loss so far: 0.1493. MRR so far: 0.9738 15 (train): Batch 23 (has 450 samples). Processed 10350 samples. Loss so far: 0.1524. MRR so far: 0.9733 15 (train): Batch 24 (has 450 samples). Processed 10800 samples. Loss so far: 0.1524. MRR so far: 0.9731 15 (train): Batch 25 (has 450 samples). Processed 11250 samples. Loss so far: 0.1516. MRR so far: 0.9735 15 (train): Batch 26 (has 450 samples). Processed 11700 samples. Loss so far: 0.1529. MRR so far: 0.9733 15 (train): Batch 27 (has 450 samples). Processed 12150 samples. Loss so far: 0.1539. MRR so far: 0.9729 15 (train): Batch 28 (has 450 samples). Processed 12600 samples. Loss so far: 0.1541. MRR so far: 0.9728 15 (train): Batch 29 (has 450 samples). Processed 13050 samples. Loss so far: 0.1546. MRR so far: 0.9727 15 (train): Batch 30 (has 450 samples). Processed 13500 samples. Loss so far: 0.1542. 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MRR so far: 0.9682 15 (train): Batch 841 (has 450 samples). Processed 378450 samples. Loss so far: 0.1778. MRR so far: 0.9682 15 (train): Batch 842 (has 450 samples). Processed 378900 samples. Loss so far: 0.1778. MRR so far: 0.9682 15 (train): Batch 843 (has 450 samples). Processed 379350 samples. Loss so far: 0.1778. MRR so far: 0.9682 15 (train): Batch 844 (has 450 samples). Processed 379800 samples. Loss so far: 0.1779. MRR so far: 0.9682 15 (train): Batch 845 (has 450 samples). Processed 380250 samples. Loss so far: 0.1779. MRR so far: 0.9682 15 (train): Batch 846 (has 450 samples). Processed 380700 samples. Loss so far: 0.1779. MRR so far: 0.9682 15 (train): Batch 847 (has 450 samples). Processed 381150 samples. Loss so far: 0.1779. MRR so far: 0.9682 15 (train): Batch 848 (has 450 samples). Processed 381600 samples. Loss so far: 0.1779. MRR so far: 0.9682 15 (train): Batch 849 (has 450 samples). Processed 382050 samples. Loss so far: 0.1780. MRR so far: 0.9682 15 (train): Batch 850 (has 450 samples). Processed 382500 samples. Loss so far: 0.1780. MRR so far: 0.9682 15 (train): Batch 851 (has 450 samples). Processed 382950 samples. Loss so far: 0.1780. MRR so far: 0.9682 15 (train): Batch 852 (has 450 samples). Processed 383400 samples. Loss so far: 0.1781. MRR so far: 0.9681 15 (train): Batch 853 (has 450 samples). Processed 383850 samples. Loss so far: 0.1781. MRR so far: 0.9681 15 (train): Batch 854 (has 450 samples). Processed 384300 samples. Loss so far: 0.1781. MRR so far: 0.9681 15 (train): Batch 855 (has 450 samples). Processed 384750 samples. Loss so far: 0.1780. MRR so far: 0.9681 15 (train): Batch 856 (has 450 samples). Processed 385200 samples. Loss so far: 0.1780. MRR so far: 0.9681 15 (train): Batch 857 (has 450 samples). Processed 385650 samples. Loss so far: 0.1781. MRR so far: 0.9681 15 (train): Batch 858 (has 450 samples). Processed 386100 samples. Loss so far: 0.1781. 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MRR so far: 0.9680 15 (train): Batch 895 (has 450 samples). Processed 402750 samples. Loss so far: 0.1785. MRR so far: 0.9681 15 (train): Batch 896 (has 450 samples). Processed 403200 samples. Loss so far: 0.1785. MRR so far: 0.9681 15 (train): Batch 897 (has 450 samples). Processed 403650 samples. Loss so far: 0.1786. MRR so far: 0.9681 15 (train): Batch 898 (has 450 samples). Processed 404100 samples. Loss so far: 0.1786. MRR so far: 0.9681 15 (train): Batch 899 (has 450 samples). Processed 404550 samples. Loss so far: 0.1786. MRR so far: 0.9680 15 (train): Batch 900 (has 450 samples). Processed 405000 samples. Loss so far: 0.1786. MRR so far: 0.9681 15 (train): Batch 901 (has 450 samples). Processed 405450 samples. Loss so far: 0.1785. MRR so far: 0.9681 15 (train): Batch 902 (has 450 samples). Processed 405900 samples. Loss so far: 0.1785. MRR so far: 0.9681 15 (train): Batch 903 (has 450 samples). Processed 406350 samples. Loss so far: 0.1786. MRR so far: 0.9681 15 (train): Batch 904 (has 450 samples). Processed 406800 samples. Loss so far: 0.1786. MRR so far: 0.9680 15 (train): Batch 905 (has 450 samples). Processed 407250 samples. Loss so far: 0.1787. MRR so far: 0.9680 15 (train): Batch 906 (has 450 samples). Processed 407700 samples. Loss so far: 0.1787. MRR so far: 0.9680 15 (train): Batch 907 (has 450 samples). Processed 408150 samples. Loss so far: 0.1787. MRR so far: 0.9680 15 (train): Batch 908 (has 450 samples). Processed 408600 samples. Loss so far: 0.1787. MRR so far: 0.9680 15 (train): Batch 909 (has 450 samples). Processed 409050 samples. Loss so far: 0.1787. MRR so far: 0.9680 15 (train): Batch 910 (has 450 samples). Processed 409500 samples. Loss so far: 0.1787. MRR so far: 0.9680 15 (train): Batch 911 (has 450 samples). Processed 409950 samples. Loss so far: 0.1787. MRR so far: 0.9680 15 (train): Batch 912 (has 450 samples). Processed 410400 samples. Loss so far: 0.1787. MRR so far: 0.9680 15 (train): Batch 913 (has 450 samples). Processed 410850 samples. Loss so far: 0.1787. MRR so far: 0.9680 15 (train): Batch 914 (has 450 samples). Processed 411300 samples. Loss so far: 0.1787. MRR so far: 0.9680  Epoch 15 (train) took 8629.36s [processed 47 samples/second] + Training Loss: 0.178668 +15 (valid): Batch 0 (has 450 samples). Processed 0 samples. Loss so far: 0.0000. MRR so far: 0.0000 15 (valid): Batch 1 (has 450 samples). Processed 450 samples. Loss so far: 3.3693. MRR so far: 0.5246 15 (valid): Batch 2 (has 450 samples). Processed 900 samples. Loss so far: 3.0371. MRR so far: 0.5791 15 (valid): Batch 3 (has 450 samples). Processed 1350 samples. Loss so far: 2.9264. MRR so far: 0.5951 15 (valid): Batch 4 (has 450 samples). Processed 1800 samples. Loss so far: 2.9091. MRR so far: 0.5964 15 (valid): Batch 5 (has 450 samples). Processed 2250 samples. Loss so far: 2.8126. MRR so far: 0.6106 15 (valid): Batch 6 (has 450 samples). Processed 2700 samples. Loss so far: 2.7458. MRR so far: 0.6237 15 (valid): Batch 7 (has 450 samples). Processed 3150 samples. Loss so far: 2.6911. MRR so far: 0.6335 15 (valid): Batch 8 (has 450 samples). Processed 3600 samples. Loss so far: 2.6557. MRR so far: 0.6417 15 (valid): Batch 9 (has 450 samples). Processed 4050 samples. Loss so far: 2.6124. MRR so far: 0.6485 15 (valid): Batch 10 (has 450 samples). Processed 4500 samples. Loss so far: 2.5496. MRR so far: 0.6561 15 (valid): Batch 11 (has 450 samples). Processed 4950 samples. Loss so far: 2.5280. MRR so far: 0.6603 15 (valid): Batch 12 (has 450 samples). Processed 5400 samples. Loss so far: 2.5003. MRR so far: 0.6655 15 (valid): Batch 13 (has 450 samples). Processed 5850 samples. Loss so far: 2.4832. MRR so far: 0.6677 15 (valid): Batch 14 (has 450 samples). Processed 6300 samples. Loss so far: 2.4614. MRR so far: 0.6695 15 (valid): Batch 15 (has 450 samples). Processed 6750 samples. Loss so far: 2.4291. MRR so far: 0.6741 15 (valid): Batch 16 (has 450 samples). Processed 7200 samples. Loss so far: 2.3982. MRR so far: 0.6782 15 (valid): Batch 17 (has 450 samples). Processed 7650 samples. Loss so far: 2.3647. MRR so far: 0.6817 15 (valid): Batch 18 (has 450 samples). Processed 8100 samples. Loss so far: 2.3494. MRR so far: 0.6842 15 (valid): Batch 19 (has 450 samples). Processed 8550 samples. Loss so far: 2.3293. MRR so far: 0.6868 15 (valid): Batch 20 (has 450 samples). Processed 9000 samples. Loss so far: 2.3021. MRR so far: 0.6908 15 (valid): Batch 21 (has 450 samples). Processed 9450 samples. Loss so far: 2.2806. MRR so far: 0.6938 15 (valid): Batch 22 (has 450 samples). Processed 9900 samples. Loss so far: 2.2623. MRR so far: 0.6970 15 (valid): Batch 23 (has 450 samples). Processed 10350 samples. Loss so far: 2.2487. MRR so far: 0.6989 15 (valid): Batch 24 (has 450 samples). Processed 10800 samples. Loss so far: 2.2312. MRR so far: 0.7013 15 (valid): Batch 25 (has 450 samples). Processed 11250 samples. Loss so far: 2.2233. MRR so far: 0.7027 15 (valid): Batch 26 (has 450 samples). Processed 11700 samples. Loss so far: 2.2015. MRR so far: 0.7052 15 (valid): Batch 27 (has 450 samples). Processed 12150 samples. Loss so far: 2.1797. MRR so far: 0.7080 15 (valid): Batch 28 (has 450 samples). Processed 12600 samples. Loss so far: 2.1719. MRR so far: 0.7092 15 (valid): Batch 29 (has 450 samples). Processed 13050 samples. Loss so far: 2.1649. MRR so far: 0.7108 15 (valid): Batch 30 (has 450 samples). Processed 13500 samples. Loss so far: 2.1541. MRR so far: 0.7117 15 (valid): Batch 31 (has 450 samples). Processed 13950 samples. Loss so far: 2.1445. MRR so far: 0.7133 15 (valid): Batch 32 (has 450 samples). Processed 14400 samples. Loss so far: 2.1387. MRR so far: 0.7146 15 (valid): Batch 33 (has 450 samples). Processed 14850 samples. Loss so far: 2.1354. MRR so far: 0.7160 15 (valid): Batch 34 (has 450 samples). Processed 15300 samples. Loss so far: 2.1318. MRR so far: 0.7173 15 (valid): Batch 35 (has 450 samples). Processed 15750 samples. Loss so far: 2.1252. MRR so far: 0.7181 15 (valid): Batch 36 (has 450 samples). Processed 16200 samples. Loss so far: 2.1288. MRR so far: 0.7183 15 (valid): Batch 37 (has 450 samples). Processed 16650 samples. Loss so far: 2.1225. MRR so far: 0.7190 15 (valid): Batch 38 (has 450 samples). Processed 17100 samples. Loss so far: 2.1121. MRR so far: 0.7208 15 (valid): Batch 39 (has 450 samples). Processed 17550 samples. Loss so far: 2.1167. MRR so far: 0.7207 15 (valid): Batch 40 (has 450 samples). Processed 18000 samples. Loss so far: 2.1178. MRR so far: 0.7208 15 (valid): Batch 41 (has 450 samples). Processed 18450 samples. Loss so far: 2.1104. MRR so far: 0.7217 15 (valid): Batch 42 (has 450 samples). Processed 18900 samples. Loss so far: 2.1236. MRR so far: 0.7213 15 (valid): Batch 43 (has 450 samples). Processed 19350 samples. Loss so far: 2.1209. MRR so far: 0.7215 15 (valid): Batch 44 (has 450 samples). Processed 19800 samples. Loss so far: 2.1148. MRR so far: 0.7222 15 (valid): Batch 45 (has 450 samples). Processed 20250 samples. Loss so far: 2.1142. MRR so far: 0.7222 15 (valid): Batch 46 (has 450 samples). Processed 20700 samples. Loss so far: 2.1088. MRR so far: 0.7228 15 (valid): Batch 47 (has 450 samples). Processed 21150 samples. Loss so far: 2.1037. MRR so far: 0.7232 15 (valid): Batch 48 (has 450 samples). Processed 21600 samples. Loss so far: 2.1088. MRR so far: 0.7227 15 (valid): Batch 49 (has 450 samples). Processed 22050 samples. Loss so far: 2.1115. MRR so far: 0.7228 15 (valid): Batch 50 (has 450 samples). Processed 22500 samples. Loss so far: 2.1108. MRR so far: 0.7229  Epoch 15 (valid) took 195.68s [processed 117 samples/second] + Validation: Loss: 2.110032 | MRR: 0.723309 +==== Epoch 16 ==== +16 (train): Batch 0 (has 450 samples). Processed 0 samples. Loss so far: 0.0000. MRR so far: 0.0000 16 (train): Batch 1 (has 450 samples). Processed 450 samples. Loss so far: 0.1535. MRR so far: 0.9731 16 (train): Batch 2 (has 450 samples). Processed 900 samples. Loss so far: 0.1429. MRR so far: 0.9760 16 (train): Batch 3 (has 450 samples). Processed 1350 samples. Loss so far: 0.1512. MRR so far: 0.9723 16 (train): Batch 4 (has 450 samples). Processed 1800 samples. Loss so far: 0.1455. MRR so far: 0.9733 16 (train): Batch 5 (has 450 samples). Processed 2250 samples. Loss so far: 0.1562. MRR so far: 0.9717 16 (train): Batch 6 (has 450 samples). Processed 2700 samples. Loss so far: 0.1601. MRR so far: 0.9715 16 (train): Batch 7 (has 450 samples). Processed 3150 samples. Loss so far: 0.1547. MRR so far: 0.9721 16 (train): Batch 8 (has 450 samples). Processed 3600 samples. Loss so far: 0.1592. MRR so far: 0.9703 16 (train): Batch 9 (has 450 samples). Processed 4050 samples. Loss so far: 0.1631. MRR so far: 0.9698 16 (train): Batch 10 (has 450 samples). Processed 4500 samples. Loss so far: 0.1618. MRR so far: 0.9701 16 (train): Batch 11 (has 450 samples). Processed 4950 samples. Loss so far: 0.1569. MRR so far: 0.9712 16 (train): Batch 12 (has 450 samples). Processed 5400 samples. Loss so far: 0.1574. MRR so far: 0.9710 16 (train): Batch 13 (has 450 samples). Processed 5850 samples. Loss so far: 0.1574. MRR so far: 0.9708 16 (train): Batch 14 (has 450 samples). Processed 6300 samples. Loss so far: 0.1585. MRR so far: 0.9709 16 (train): Batch 15 (has 450 samples). Processed 6750 samples. Loss so far: 0.1564. MRR so far: 0.9711 16 (train): Batch 16 (has 450 samples). Processed 7200 samples. Loss so far: 0.1574. MRR so far: 0.9714 16 (train): Batch 17 (has 450 samples). Processed 7650 samples. Loss so far: 0.1579. MRR so far: 0.9716 16 (train): Batch 18 (has 450 samples). Processed 8100 samples. Loss so far: 0.1585. MRR so far: 0.9716 16 (train): Batch 19 (has 450 samples). Processed 8550 samples. Loss so far: 0.1618. MRR so far: 0.9710 16 (train): Batch 20 (has 450 samples). Processed 9000 samples. Loss so far: 0.1615. MRR so far: 0.9710 16 (train): Batch 21 (has 450 samples). Processed 9450 samples. Loss so far: 0.1611. MRR so far: 0.9713 16 (train): Batch 22 (has 450 samples). Processed 9900 samples. Loss so far: 0.1623. MRR so far: 0.9712 16 (train): Batch 23 (has 450 samples). Processed 10350 samples. Loss so far: 0.1626. MRR so far: 0.9710 16 (train): Batch 24 (has 450 samples). Processed 10800 samples. Loss so far: 0.1635. MRR so far: 0.9712 16 (train): Batch 25 (has 450 samples). Processed 11250 samples. Loss so far: 0.1600. MRR so far: 0.9719 16 (train): Batch 26 (has 450 samples). Processed 11700 samples. Loss so far: 0.1585. MRR so far: 0.9721 16 (train): Batch 27 (has 450 samples). Processed 12150 samples. Loss so far: 0.1594. MRR so far: 0.9721 16 (train): Batch 28 (has 450 samples). Processed 12600 samples. Loss so far: 0.1593. 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MRR so far: 0.9692 16 (train): Batch 911 (has 450 samples). Processed 409950 samples. Loss so far: 0.1740. MRR so far: 0.9692 16 (train): Batch 912 (has 450 samples). Processed 410400 samples. Loss so far: 0.1741. MRR so far: 0.9691 16 (train): Batch 913 (has 450 samples). Processed 410850 samples. Loss so far: 0.1741. MRR so far: 0.9692 16 (train): Batch 914 (has 450 samples). Processed 411300 samples. Loss so far: 0.1741. MRR so far: 0.9691  Epoch 16 (train) took 8712.65s [processed 47 samples/second] + Training Loss: 0.174115 +16 (valid): Batch 0 (has 450 samples). Processed 0 samples. Loss so far: 0.0000. MRR so far: 0.0000 16 (valid): Batch 1 (has 450 samples). Processed 450 samples. Loss so far: 3.2637. MRR so far: 0.5390 16 (valid): Batch 2 (has 450 samples). Processed 900 samples. Loss so far: 3.0654. MRR so far: 0.5797 16 (valid): Batch 3 (has 450 samples). Processed 1350 samples. Loss so far: 2.9589. MRR so far: 0.5936 16 (valid): Batch 4 (has 450 samples). Processed 1800 samples. Loss so far: 2.8906. MRR so far: 0.6009 16 (valid): Batch 5 (has 450 samples). Processed 2250 samples. Loss so far: 2.8485. MRR so far: 0.6126 16 (valid): Batch 6 (has 450 samples). Processed 2700 samples. Loss so far: 2.7981. MRR so far: 0.6227 16 (valid): Batch 7 (has 450 samples). Processed 3150 samples. Loss so far: 2.7385. MRR so far: 0.6313 16 (valid): Batch 8 (has 450 samples). Processed 3600 samples. Loss so far: 2.6977. MRR so far: 0.6405 16 (valid): Batch 9 (has 450 samples). Processed 4050 samples. Loss so far: 2.6253. MRR so far: 0.6492 16 (valid): Batch 10 (has 450 samples). Processed 4500 samples. Loss so far: 2.5568. MRR so far: 0.6569 16 (valid): Batch 11 (has 450 samples). Processed 4950 samples. Loss so far: 2.5438. MRR so far: 0.6607 16 (valid): Batch 12 (has 450 samples). Processed 5400 samples. Loss so far: 2.5152. MRR so far: 0.6659 16 (valid): Batch 13 (has 450 samples). Processed 5850 samples. Loss so far: 2.5110. MRR so far: 0.6668 16 (valid): Batch 14 (has 450 samples). Processed 6300 samples. Loss so far: 2.4778. MRR so far: 0.6711 16 (valid): Batch 15 (has 450 samples). Processed 6750 samples. Loss so far: 2.4439. MRR so far: 0.6750 16 (valid): Batch 16 (has 450 samples). Processed 7200 samples. Loss so far: 2.4212. MRR so far: 0.6779 16 (valid): Batch 17 (has 450 samples). Processed 7650 samples. Loss so far: 2.3825. MRR so far: 0.6829 16 (valid): Batch 18 (has 450 samples). Processed 8100 samples. Loss so far: 2.3679. MRR so far: 0.6851 16 (valid): Batch 19 (has 450 samples). Processed 8550 samples. Loss so far: 2.3460. MRR so far: 0.6882 16 (valid): Batch 20 (has 450 samples). Processed 9000 samples. Loss so far: 2.3233. MRR so far: 0.6911 16 (valid): Batch 21 (has 450 samples). Processed 9450 samples. Loss so far: 2.3030. MRR so far: 0.6932 16 (valid): Batch 22 (has 450 samples). Processed 9900 samples. Loss so far: 2.2755. MRR so far: 0.6971 16 (valid): Batch 23 (has 450 samples). Processed 10350 samples. Loss so far: 2.2529. MRR so far: 0.7004 16 (valid): Batch 24 (has 450 samples). Processed 10800 samples. Loss so far: 2.2397. MRR so far: 0.7024 16 (valid): Batch 25 (has 450 samples). Processed 11250 samples. Loss so far: 2.2330. MRR so far: 0.7038 16 (valid): Batch 26 (has 450 samples). Processed 11700 samples. Loss so far: 2.2080. MRR so far: 0.7074 16 (valid): Batch 27 (has 450 samples). Processed 12150 samples. Loss so far: 2.1894. MRR so far: 0.7100 16 (valid): Batch 28 (has 450 samples). Processed 12600 samples. Loss so far: 2.1785. MRR so far: 0.7121 16 (valid): Batch 29 (has 450 samples). Processed 13050 samples. Loss so far: 2.1718. MRR so far: 0.7134 16 (valid): Batch 30 (has 450 samples). Processed 13500 samples. Loss so far: 2.1555. MRR so far: 0.7150 16 (valid): Batch 31 (has 450 samples). Processed 13950 samples. Loss so far: 2.1390. MRR so far: 0.7168 16 (valid): Batch 32 (has 450 samples). Processed 14400 samples. Loss so far: 2.1375. MRR so far: 0.7175 16 (valid): Batch 33 (has 450 samples). Processed 14850 samples. Loss so far: 2.1327. MRR so far: 0.7186 16 (valid): Batch 34 (has 450 samples). Processed 15300 samples. Loss so far: 2.1263. MRR so far: 0.7201 16 (valid): Batch 35 (has 450 samples). Processed 15750 samples. Loss so far: 2.1168. MRR so far: 0.7213 16 (valid): Batch 36 (has 450 samples). Processed 16200 samples. Loss so far: 2.1236. MRR so far: 0.7212 16 (valid): Batch 37 (has 450 samples). Processed 16650 samples. Loss so far: 2.1137. MRR so far: 0.7223 16 (valid): Batch 38 (has 450 samples). Processed 17100 samples. Loss so far: 2.1041. MRR so far: 0.7235 16 (valid): Batch 39 (has 450 samples). Processed 17550 samples. Loss so far: 2.1068. MRR so far: 0.7237 16 (valid): Batch 40 (has 450 samples). Processed 18000 samples. Loss so far: 2.1078. MRR so far: 0.7242 16 (valid): Batch 41 (has 450 samples). Processed 18450 samples. Loss so far: 2.0954. MRR so far: 0.7255 16 (valid): Batch 42 (has 450 samples). Processed 18900 samples. Loss so far: 2.1048. MRR so far: 0.7249 16 (valid): Batch 43 (has 450 samples). Processed 19350 samples. Loss so far: 2.0999. MRR so far: 0.7255 16 (valid): Batch 44 (has 450 samples). Processed 19800 samples. Loss so far: 2.0964. MRR so far: 0.7260 16 (valid): Batch 45 (has 450 samples). Processed 20250 samples. Loss so far: 2.0954. MRR so far: 0.7260 16 (valid): Batch 46 (has 450 samples). Processed 20700 samples. Loss so far: 2.0922. MRR so far: 0.7264 16 (valid): Batch 47 (has 450 samples). Processed 21150 samples. Loss so far: 2.0908. MRR so far: 0.7265 16 (valid): Batch 48 (has 450 samples). Processed 21600 samples. Loss so far: 2.0964. MRR so far: 0.7261 16 (valid): Batch 49 (has 450 samples). Processed 22050 samples. Loss so far: 2.0961. MRR so far: 0.7262 16 (valid): Batch 50 (has 450 samples). Processed 22500 samples. Loss so far: 2.0952. MRR so far: 0.7261  Epoch 16 (valid) took 190.97s [processed 120 samples/second] + Validation: Loss: 2.092453 | MRR: 0.726496 + Best result so far -- saved model as '/network/home/jangeunb/CodeSearchNet/resources/saved_models/SelfAttentionModel-2020-04-17-22-39-10_model_best.pkl.gz'. +==== Epoch 17 ==== +17 (train): Batch 0 (has 450 samples). Processed 0 samples. Loss so far: 0.0000. MRR so far: 0.0000 17 (train): Batch 1 (has 450 samples). Processed 450 samples. Loss so far: 0.1206. MRR so far: 0.9769 17 (train): Batch 2 (has 450 samples). Processed 900 samples. Loss so far: 0.1357. MRR so far: 0.9722 17 (train): Batch 3 (has 450 samples). Processed 1350 samples. Loss so far: 0.1362. MRR so far: 0.9740 17 (train): Batch 4 (has 450 samples). Processed 1800 samples. Loss so far: 0.1435. MRR so far: 0.9727 17 (train): Batch 5 (has 450 samples). Processed 2250 samples. Loss so far: 0.1443. MRR so far: 0.9725 17 (train): Batch 6 (has 450 samples). Processed 2700 samples. 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MRR so far: 0.9704 17 (train): Batch 872 (has 450 samples). Processed 392400 samples. Loss so far: 0.1666. MRR so far: 0.9704 17 (train): Batch 873 (has 450 samples). Processed 392850 samples. Loss so far: 0.1666. MRR so far: 0.9704 17 (train): Batch 874 (has 450 samples). Processed 393300 samples. Loss so far: 0.1666. MRR so far: 0.9704 17 (train): Batch 875 (has 450 samples). Processed 393750 samples. Loss so far: 0.1666. MRR so far: 0.9704 17 (train): Batch 876 (has 450 samples). Processed 394200 samples. Loss so far: 0.1667. MRR so far: 0.9704 17 (train): Batch 877 (has 450 samples). Processed 394650 samples. Loss so far: 0.1667. MRR so far: 0.9704 17 (train): Batch 878 (has 450 samples). Processed 395100 samples. Loss so far: 0.1667. MRR so far: 0.9704 17 (train): Batch 879 (has 450 samples). Processed 395550 samples. Loss so far: 0.1667. MRR so far: 0.9704 17 (train): Batch 880 (has 450 samples). Processed 396000 samples. Loss so far: 0.1667. MRR so far: 0.9704 17 (train): Batch 881 (has 450 samples). Processed 396450 samples. Loss so far: 0.1668. MRR so far: 0.9704 17 (train): Batch 882 (has 450 samples). Processed 396900 samples. Loss so far: 0.1668. MRR so far: 0.9704 17 (train): Batch 883 (has 450 samples). Processed 397350 samples. Loss so far: 0.1668. MRR so far: 0.9704 17 (train): Batch 884 (has 450 samples). Processed 397800 samples. Loss so far: 0.1668. MRR so far: 0.9704 17 (train): Batch 885 (has 450 samples). Processed 398250 samples. Loss so far: 0.1669. MRR so far: 0.9704 17 (train): Batch 886 (has 450 samples). Processed 398700 samples. Loss so far: 0.1669. MRR so far: 0.9704 17 (train): Batch 887 (has 450 samples). Processed 399150 samples. Loss so far: 0.1669. MRR so far: 0.9704 17 (train): Batch 888 (has 450 samples). Processed 399600 samples. Loss so far: 0.1668. MRR so far: 0.9704 17 (train): Batch 889 (has 450 samples). Processed 400050 samples. Loss so far: 0.1669. MRR so far: 0.9703 17 (train): Batch 890 (has 450 samples). Processed 400500 samples. Loss so far: 0.1669. MRR so far: 0.9703 17 (train): Batch 891 (has 450 samples). Processed 400950 samples. Loss so far: 0.1669. MRR so far: 0.9703 17 (train): Batch 892 (has 450 samples). Processed 401400 samples. Loss so far: 0.1669. MRR so far: 0.9703 17 (train): Batch 893 (has 450 samples). Processed 401850 samples. Loss so far: 0.1670. MRR so far: 0.9703 17 (train): Batch 894 (has 450 samples). Processed 402300 samples. Loss so far: 0.1670. MRR so far: 0.9703 17 (train): Batch 895 (has 450 samples). Processed 402750 samples. Loss so far: 0.1669. MRR so far: 0.9703 17 (train): Batch 896 (has 450 samples). Processed 403200 samples. Loss so far: 0.1669. MRR so far: 0.9703 17 (train): Batch 897 (has 450 samples). Processed 403650 samples. Loss so far: 0.1669. MRR so far: 0.9703 17 (train): Batch 898 (has 450 samples). Processed 404100 samples. Loss so far: 0.1669. MRR so far: 0.9703 17 (train): Batch 899 (has 450 samples). Processed 404550 samples. Loss so far: 0.1669. MRR so far: 0.9703 17 (train): Batch 900 (has 450 samples). Processed 405000 samples. Loss so far: 0.1669. MRR so far: 0.9703 17 (train): Batch 901 (has 450 samples). Processed 405450 samples. Loss so far: 0.1669. MRR so far: 0.9703 17 (train): Batch 902 (has 450 samples). Processed 405900 samples. Loss so far: 0.1669. MRR so far: 0.9703 17 (train): Batch 903 (has 450 samples). Processed 406350 samples. Loss so far: 0.1669. MRR so far: 0.9703 17 (train): Batch 904 (has 450 samples). Processed 406800 samples. Loss so far: 0.1670. MRR so far: 0.9703 17 (train): Batch 905 (has 450 samples). Processed 407250 samples. Loss so far: 0.1670. MRR so far: 0.9703 17 (train): Batch 906 (has 450 samples). Processed 407700 samples. Loss so far: 0.1671. MRR so far: 0.9703 17 (train): Batch 907 (has 450 samples). Processed 408150 samples. Loss so far: 0.1670. MRR so far: 0.9703 17 (train): Batch 908 (has 450 samples). Processed 408600 samples. Loss so far: 0.1671. MRR so far: 0.9703 17 (train): Batch 909 (has 450 samples). Processed 409050 samples. Loss so far: 0.1670. MRR so far: 0.9703 17 (train): Batch 910 (has 450 samples). Processed 409500 samples. Loss so far: 0.1670. MRR so far: 0.9703 17 (train): Batch 911 (has 450 samples). Processed 409950 samples. Loss so far: 0.1669. MRR so far: 0.9703 17 (train): Batch 912 (has 450 samples). Processed 410400 samples. Loss so far: 0.1670. MRR so far: 0.9703 17 (train): Batch 913 (has 450 samples). Processed 410850 samples. Loss so far: 0.1670. MRR so far: 0.9703 17 (train): Batch 914 (has 450 samples). Processed 411300 samples. Loss so far: 0.1671. MRR so far: 0.9703  Epoch 17 (train) took 8813.73s [processed 46 samples/second] + Training Loss: 0.167049 +17 (valid): Batch 0 (has 450 samples). Processed 0 samples. Loss so far: 0.0000. MRR so far: 0.0000 17 (valid): Batch 1 (has 450 samples). Processed 450 samples. Loss so far: 3.3465. MRR so far: 0.5337 17 (valid): Batch 2 (has 450 samples). Processed 900 samples. Loss so far: 3.1063. MRR so far: 0.5776 17 (valid): Batch 3 (has 450 samples). Processed 1350 samples. Loss so far: 2.9952. MRR so far: 0.5972 17 (valid): Batch 4 (has 450 samples). Processed 1800 samples. Loss so far: 2.9575. MRR so far: 0.6027 17 (valid): Batch 5 (has 450 samples). Processed 2250 samples. Loss so far: 2.8904. MRR so far: 0.6116 17 (valid): Batch 6 (has 450 samples). Processed 2700 samples. Loss so far: 2.8373. MRR so far: 0.6201 17 (valid): Batch 7 (has 450 samples). Processed 3150 samples. Loss so far: 2.7837. MRR so far: 0.6308 17 (valid): Batch 8 (has 450 samples). Processed 3600 samples. Loss so far: 2.7446. MRR so far: 0.6386 17 (valid): Batch 9 (has 450 samples). Processed 4050 samples. Loss so far: 2.6950. MRR so far: 0.6461 17 (valid): Batch 10 (has 450 samples). Processed 4500 samples. Loss so far: 2.6203. MRR so far: 0.6550 17 (valid): Batch 11 (has 450 samples). Processed 4950 samples. Loss so far: 2.6049. MRR so far: 0.6585 17 (valid): Batch 12 (has 450 samples). Processed 5400 samples. Loss so far: 2.5817. MRR so far: 0.6631 17 (valid): Batch 13 (has 450 samples). Processed 5850 samples. Loss so far: 2.5640. MRR so far: 0.6662 17 (valid): Batch 14 (has 450 samples). Processed 6300 samples. Loss so far: 2.5345. MRR so far: 0.6699 17 (valid): Batch 15 (has 450 samples). Processed 6750 samples. Loss so far: 2.5038. MRR so far: 0.6744 17 (valid): Batch 16 (has 450 samples). Processed 7200 samples. Loss so far: 2.4770. MRR so far: 0.6766 17 (valid): Batch 17 (has 450 samples). Processed 7650 samples. Loss so far: 2.4325. MRR so far: 0.6816 17 (valid): Batch 18 (has 450 samples). Processed 8100 samples. Loss so far: 2.4151. MRR so far: 0.6843 17 (valid): Batch 19 (has 450 samples). Processed 8550 samples. Loss so far: 2.3935. MRR so far: 0.6871 17 (valid): Batch 20 (has 450 samples). Processed 9000 samples. Loss so far: 2.3694. MRR so far: 0.6905 17 (valid): Batch 21 (has 450 samples). Processed 9450 samples. Loss so far: 2.3488. MRR so far: 0.6932 17 (valid): Batch 22 (has 450 samples). Processed 9900 samples. Loss so far: 2.3251. MRR so far: 0.6963 17 (valid): Batch 23 (has 450 samples). Processed 10350 samples. Loss so far: 2.2976. MRR so far: 0.6996 17 (valid): Batch 24 (has 450 samples). Processed 10800 samples. Loss so far: 2.2864. MRR so far: 0.7016 17 (valid): Batch 25 (has 450 samples). Processed 11250 samples. Loss so far: 2.2824. MRR so far: 0.7034 17 (valid): Batch 26 (has 450 samples). Processed 11700 samples. Loss so far: 2.2624. MRR so far: 0.7059 17 (valid): Batch 27 (has 450 samples). Processed 12150 samples. Loss so far: 2.2403. MRR so far: 0.7088 17 (valid): Batch 28 (has 450 samples). Processed 12600 samples. Loss so far: 2.2358. MRR so far: 0.7102 17 (valid): Batch 29 (has 450 samples). Processed 13050 samples. Loss so far: 2.2273. MRR so far: 0.7117 17 (valid): Batch 30 (has 450 samples). Processed 13500 samples. Loss so far: 2.2143. MRR so far: 0.7131 17 (valid): Batch 31 (has 450 samples). Processed 13950 samples. Loss so far: 2.2042. MRR so far: 0.7148 17 (valid): Batch 32 (has 450 samples). Processed 14400 samples. Loss so far: 2.1995. MRR so far: 0.7158 17 (valid): Batch 33 (has 450 samples). Processed 14850 samples. Loss so far: 2.1980. MRR so far: 0.7167 17 (valid): Batch 34 (has 450 samples). Processed 15300 samples. Loss so far: 2.1918. MRR so far: 0.7180 17 (valid): Batch 35 (has 450 samples). Processed 15750 samples. Loss so far: 2.1829. MRR so far: 0.7188 17 (valid): Batch 36 (has 450 samples). Processed 16200 samples. Loss so far: 2.1928. MRR so far: 0.7184 17 (valid): Batch 37 (has 450 samples). Processed 16650 samples. Loss so far: 2.1818. MRR so far: 0.7195 17 (valid): Batch 38 (has 450 samples). Processed 17100 samples. Loss so far: 2.1744. MRR so far: 0.7201 17 (valid): Batch 39 (has 450 samples). Processed 17550 samples. Loss so far: 2.1765. MRR so far: 0.7203 17 (valid): Batch 40 (has 450 samples). Processed 18000 samples. Loss so far: 2.1796. MRR so far: 0.7205 17 (valid): Batch 41 (has 450 samples). Processed 18450 samples. Loss so far: 2.1674. MRR so far: 0.7220 17 (valid): Batch 42 (has 450 samples). Processed 18900 samples. Loss so far: 2.1841. MRR so far: 0.7214 17 (valid): Batch 43 (has 450 samples). Processed 19350 samples. Loss so far: 2.1807. MRR so far: 0.7216 17 (valid): Batch 44 (has 450 samples). Processed 19800 samples. Loss so far: 2.1781. MRR so far: 0.7223 17 (valid): Batch 45 (has 450 samples). Processed 20250 samples. Loss so far: 2.1760. MRR so far: 0.7228 17 (valid): Batch 46 (has 450 samples). Processed 20700 samples. Loss so far: 2.1710. MRR so far: 0.7233 17 (valid): Batch 47 (has 450 samples). Processed 21150 samples. Loss so far: 2.1684. MRR so far: 0.7238 17 (valid): Batch 48 (has 450 samples). Processed 21600 samples. Loss so far: 2.1751. MRR so far: 0.7232 17 (valid): Batch 49 (has 450 samples). Processed 22050 samples. Loss so far: 2.1776. MRR so far: 0.7228 17 (valid): Batch 50 (has 450 samples). Processed 22500 samples. Loss so far: 2.1767. MRR so far: 0.7228  Epoch 17 (valid) took 197.25s [processed 116 samples/second] + Validation: Loss: 2.176146 | MRR: 0.723060 +==== Epoch 18 ==== +18 (train): Batch 0 (has 450 samples). Processed 0 samples. Loss so far: 0.0000. MRR so far: 0.0000 18 (train): Batch 1 (has 450 samples). Processed 450 samples. Loss so far: 0.1552. MRR so far: 0.9761 18 (train): Batch 2 (has 450 samples). Processed 900 samples. Loss so far: 0.1287. MRR so far: 0.9794 18 (train): Batch 3 (has 450 samples). Processed 1350 samples. Loss so far: 0.1201. MRR so far: 0.9825 18 (train): Batch 4 (has 450 samples). Processed 1800 samples. Loss so far: 0.1187. MRR so far: 0.9809 18 (train): Batch 5 (has 450 samples). Processed 2250 samples. Loss so far: 0.1204. MRR so far: 0.9794 18 (train): Batch 6 (has 450 samples). Processed 2700 samples. Loss so far: 0.1273. MRR so far: 0.9776 18 (train): Batch 7 (has 450 samples). Processed 3150 samples. Loss so far: 0.1260. MRR so far: 0.9776 18 (train): Batch 8 (has 450 samples). Processed 3600 samples. Loss so far: 0.1244. MRR so far: 0.9770 18 (train): Batch 9 (has 450 samples). Processed 4050 samples. Loss so far: 0.1296. MRR so far: 0.9762 18 (train): Batch 10 (has 450 samples). Processed 4500 samples. Loss so far: 0.1290. MRR so far: 0.9763 18 (train): Batch 11 (has 450 samples). Processed 4950 samples. Loss so far: 0.1310. MRR so far: 0.9764 18 (train): Batch 12 (has 450 samples). Processed 5400 samples. Loss so far: 0.1390. MRR so far: 0.9747 18 (train): Batch 13 (has 450 samples). Processed 5850 samples. Loss so far: 0.1402. MRR so far: 0.9749 18 (train): Batch 14 (has 450 samples). Processed 6300 samples. Loss so far: 0.1419. MRR so far: 0.9747 18 (train): Batch 15 (has 450 samples). Processed 6750 samples. Loss so far: 0.1412. MRR so far: 0.9749 18 (train): Batch 16 (has 450 samples). Processed 7200 samples. Loss so far: 0.1439. MRR so far: 0.9743 18 (train): Batch 17 (has 450 samples). Processed 7650 samples. Loss so far: 0.1449. MRR so far: 0.9741 18 (train): Batch 18 (has 450 samples). Processed 8100 samples. Loss so far: 0.1459. MRR so far: 0.9742 18 (train): Batch 19 (has 450 samples). Processed 8550 samples. Loss so far: 0.1446. MRR so far: 0.9743 18 (train): Batch 20 (has 450 samples). Processed 9000 samples. Loss so far: 0.1446. MRR so far: 0.9743 18 (train): Batch 21 (has 450 samples). Processed 9450 samples. Loss so far: 0.1467. MRR so far: 0.9740 18 (train): Batch 22 (has 450 samples). Processed 9900 samples. Loss so far: 0.1460. MRR so far: 0.9741 18 (train): Batch 23 (has 450 samples). Processed 10350 samples. Loss so far: 0.1451. MRR so far: 0.9742 18 (train): Batch 24 (has 450 samples). Processed 10800 samples. Loss so far: 0.1451. MRR so far: 0.9742 18 (train): Batch 25 (has 450 samples). Processed 11250 samples. Loss so far: 0.1443. MRR so far: 0.9745 18 (train): Batch 26 (has 450 samples). Processed 11700 samples. Loss so far: 0.1462. MRR so far: 0.9742 18 (train): Batch 27 (has 450 samples). Processed 12150 samples. Loss so far: 0.1482. MRR so far: 0.9742 18 (train): Batch 28 (has 450 samples). Processed 12600 samples. Loss so far: 0.1464. MRR so far: 0.9745 18 (train): Batch 29 (has 450 samples). Processed 13050 samples. Loss so far: 0.1460. MRR so far: 0.9744 18 (train): Batch 30 (has 450 samples). Processed 13500 samples. Loss so far: 0.1462. MRR so far: 0.9744 18 (train): Batch 31 (has 450 samples). Processed 13950 samples. Loss so far: 0.1452. MRR so far: 0.9746 18 (train): Batch 32 (has 450 samples). Processed 14400 samples. Loss so far: 0.1447. MRR so far: 0.9747 18 (train): Batch 33 (has 450 samples). Processed 14850 samples. Loss so far: 0.1434. MRR so far: 0.9750 18 (train): Batch 34 (has 450 samples). Processed 15300 samples. Loss so far: 0.1437. MRR so far: 0.9750 18 (train): Batch 35 (has 450 samples). Processed 15750 samples. Loss so far: 0.1429. MRR so far: 0.9752 18 (train): Batch 36 (has 450 samples). Processed 16200 samples. Loss so far: 0.1428. MRR so far: 0.9753 18 (train): Batch 37 (has 450 samples). Processed 16650 samples. Loss so far: 0.1416. MRR so far: 0.9755 18 (train): Batch 38 (has 450 samples). Processed 17100 samples. Loss so far: 0.1408. MRR so far: 0.9756 18 (train): Batch 39 (has 450 samples). Processed 17550 samples. Loss so far: 0.1414. MRR so far: 0.9756 18 (train): Batch 40 (has 450 samples). Processed 18000 samples. Loss so far: 0.1400. MRR so far: 0.9759 18 (train): Batch 41 (has 450 samples). Processed 18450 samples. Loss so far: 0.1398. MRR so far: 0.9758 18 (train): Batch 42 (has 450 samples). Processed 18900 samples. Loss so far: 0.1401. MRR so far: 0.9757 18 (train): Batch 43 (has 450 samples). Processed 19350 samples. Loss so far: 0.1395. MRR so far: 0.9757 18 (train): Batch 44 (has 450 samples). Processed 19800 samples. Loss so far: 0.1400. MRR so far: 0.9756 18 (train): Batch 45 (has 450 samples). Processed 20250 samples. Loss so far: 0.1408. MRR so far: 0.9754 18 (train): Batch 46 (has 450 samples). Processed 20700 samples. Loss so far: 0.1424. MRR so far: 0.9751 18 (train): Batch 47 (has 450 samples). Processed 21150 samples. Loss so far: 0.1420. MRR so far: 0.9751 18 (train): Batch 48 (has 450 samples). Processed 21600 samples. Loss so far: 0.1426. MRR so far: 0.9750 18 (train): Batch 49 (has 450 samples). Processed 22050 samples. Loss so far: 0.1418. MRR so far: 0.9751 18 (train): Batch 50 (has 450 samples). Processed 22500 samples. Loss so far: 0.1420. 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MRR so far: 0.9716 slurmstepd: error: *** JOB 413761 ON mila02 CANCELLED AT 2020-04-19T22:39:24 DUE TO TIME LIMIT *** + +======== GPU REPORT ======== + +==============NVSMI LOG============== + +Timestamp : Sun Apr 19 22:39:25 2020 +Driver Version : 418.116.00 +CUDA Version : 10.1 + +Attached GPUs : 2 +GPU 00000000:0A:00.0 + Accounting Mode : Enabled + Accounting Mode Buffer Size : 4000 + Accounted Processes : None + +GPU 00000000:0B:00.0 + Accounting Mode : Enabled + Accounting Mode Buffer Size : 4000 + Accounted Processes : None + +Sun Apr 19 22:39:25 2020 ++-----------------------------------------------------------------------------+ +| NVIDIA-SMI 418.116.00 Driver Version: 418.116.00 CUDA Version: 10.1 | +|-------------------------------+----------------------+----------------------+ +| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | +| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | +|===============================+======================+======================| +| 0 Tesla V100-SXM2... On | 00000000:0A:00.0 Off | 0 | +| N/A 29C P0 41W / 163W | 0MiB / 32480MiB | 0% Default | ++-------------------------------+----------------------+----------------------+ +| 1 Tesla V100-SXM2... On | 00000000:0B:00.0 Off | 0 | +| N/A 28C P0 40W / 163W | 0MiB / 32480MiB | 0% Default | ++-------------------------------+----------------------+----------------------+ + ++-----------------------------------------------------------------------------+ +| Processes: GPU Memory | +| GPU PID Type Process name Usage | +|=============================================================================| +| No running processes found | ++-----------------------------------------------------------------------------+ From a6f25490383238841631c4f0ae5be76c7cd4ee79 Mon Sep 17 00:00:00 2001 From: Eunbee Jang Date: Mon, 20 Apr 2020 00:54:04 -0400 Subject: [PATCH 11/11] run script for slurm --- src/job2.sh | 15 +++++++++++++++ 1 file changed, 15 insertions(+) create mode 100644 src/job2.sh diff --git a/src/job2.sh b/src/job2.sh new file mode 100644 index 00000000..7c2cb7bf --- /dev/null +++ b/src/job2.sh @@ -0,0 +1,15 @@ +#!/bin/bash + + +#SBATCH --partition=unkillable +#SBATCH --cpus-per-task=8 +#SBATCH --gres=gpu:v100-32gb:2 +#SBATCH --mem=32G +#SBATCH --time=96:00:00 +#SBATCH -o /network/home/jangeunb/slurm_strict-%j.out + +module load python/3.7 + +pip install -r requirements.txt + +python train.py --model SelfAttentionModel --max-num-epochs 30