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BiTransDPI
提交 2dfa9ebc 作者: 朱学凯
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updata .gitignore

上级 b51ff548
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.idea/CPI.iml deleted 100644 → 0
<?xml version="1.0" encoding="UTF-8"?>
<module type="PYTHON_MODULE" version="4">
<component name="NewModuleRootManager">
<content url="file://$MODULE_DIR$" />
<orderEntry type="jdk" jdkName="Python 3.6 (py3.6)" jdkType="Python SDK" />
<orderEntry type="sourceFolder" forTests="false" />
</component>
<component name="PyDocumentationSettings">
<option name="renderExternalDocumentation" value="true" />
</component>
</module>
\ No newline at end of file
.idea/inspectionProfiles/Project_Default.xml deleted 100644 → 0
<component name="InspectionProjectProfileManager">
<profile version="1.0">
<option name="myName" value="Project Default" />
<inspection_tool class="PyPackageRequirementsInspection" enabled="true" level="WARNING" enabled_by_default="true">
<option name="ignoredPackages">
<value>
<list size="1">
<item index="0" class="java.lang.String" itemvalue="subword-nmt" />
</list>
</value>
</option>
</inspection_tool>
</profile>
</component>
\ No newline at end of file
.idea/inspectionProfiles/profiles_settings.xml deleted 100644 → 0
<component name="InspectionProjectProfileManager">
<settings>
<option name="USE_PROJECT_PROFILE" value="false" />
<version value="1.0" />
</settings>
</component>
\ No newline at end of file
.idea/misc.xml deleted 100644 → 0
<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="ProjectRootManager" version="2" project-jdk-name="Python 3.6 (py3.6)" project-jdk-type="Python SDK" />
</project>
\ No newline at end of file
.idea/modules.xml deleted 100644 → 0
<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="ProjectModuleManager">
<modules>
<module fileurl="file://$PROJECT_DIR$/.idea/CPI.iml" filepath="$PROJECT_DIR$/.idea/CPI.iml" />
</modules>
</component>
</project>
\ No newline at end of file
.idea/other.xml deleted 100644 → 0
<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="PySciProjectComponent">
<option name="PY_SCI_VIEW" value="true" />
<option name="PY_SCI_VIEW_SUGGESTED" value="true" />
</component>
</project>
\ No newline at end of file
.idea/shelf/Uncommitted_changes_before_Update_at_2021_4_29,_1_41_下午_[Default_Changelist]/shelved.patch deleted 100644 → 0
Index: .idea/shelf/Uncommitted_changes_before_Update_at_2021_4_16__11_22___Default_Changelist_.xml
++ /dev/null
Index: .idea/shelf/Uncommitted_changes_before_Update_at_2021_4_16__11_22___Default_Changelist_.xml
===================================================================
diff --git a/.idea/shelf/Uncommitted_changes_before_Update_at_2021_4_16__11_22___Default_Changelist_.xml b/.idea/shelf/Uncommitted_changes_before_Update_at_2021_4_16__11_22___Default_Changelist_.xml
deleted file mode 100644
--- a/.idea/shelf/Uncommitted_changes_before_Update_at_2021_4_16__11_22___Default_Changelist_.xml (revision a43ff66ca17fa5aa99e18028f5990e68a6469c5b)
+++ /dev/null (revision a43ff66ca17fa5aa99e18028f5990e68a6469c5b)
@@ -1,4 +0,0 @@
-<changelist name="Uncommitted_changes_before_Update_at_2021_4_16,_11_22_上午_[Default_Changelist]" date="1618543353862" recycled="true" deleted="true">
- <option name="PATH" value="$PROJECT_DIR$/.idea/shelf/Uncommitted_changes_before_Update_at_2021_4_16,_11_22_上午_[Default_Changelist]/shelved.patch" />
- <option name="DESCRIPTION" value="Uncommitted changes before Update at 2021/4/16, 11:22 上午 [Default Changelist]" />
-</changelist>
\ No newline at end of file
Index: .idea/shelf/Uncommitted_changes_before_Update_at_2021_4_16,_11_22_上午_[Default_Changelist]/shelved.patch
===================================================================
diff --git a/.idea/shelf/Uncommitted_changes_before_Update_at_2021_4_16,_11_22_上午_[Default_Changelist]/shelved.patch b/.idea/shelf/Uncommitted_changes_before_Update_at_2021_4_16,_11_22_上午_[Default_Changelist]/shelved.patch
deleted file mode 100644
--- a/.idea/shelf/Uncommitted_changes_before_Update_at_2021_4_16,_11_22_上午_[Default_Changelist]/shelved.patch (revision a43ff66ca17fa5aa99e18028f5990e68a6469c5b)
+++ /dev/null (revision a43ff66ca17fa5aa99e18028f5990e68a6469c5b)
@@ -1,20 +0,0 @@
-Index: .idea/workspace.xml
-IDEA additional info:
-Subsystem: com.intellij.openapi.diff.impl.patch.BaseRevisionTextPatchEP
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/>\n </component>\n <component name=\"Git.Settings\">\n <option name=\"RECENT_GIT_ROOT_PATH\" value=\"$PROJECT_DIR$\" />\n <option name=\"UPDATE_TYPE\" value=\"REBASE\" />\n </component>\n <component name=\"ProjectId\" id=\"1qpu2Wq6VU5TQVQOm73pQEwAahA\" />\n <component name=\"ProjectLevelVcsManager\">\n <ConfirmationsSetting value=\"1\" id=\"Add\" />\n </component>\n <component name=\"ProjectViewState\">\n <option name=\"hideEmptyMiddlePackages\" value=\"true\" />\n <option name=\"showLibraryContents\" value=\"true\" />\n </component>\n <component name=\"PropertiesComponent\">\n <property name=\"ASKED_ADD_EXTERNAL_FILES\" value=\"true\" />\n <property name=\"RunOnceActivity.OpenProjectViewOnStart\" value=\"true\" />\n <property name=\"RunOnceActivity.ShowReadmeOnStart\" value=\"true\" />\n <property name=\"WebServerToolWindowFactoryState\" value=\"false\" />\n <property name=\"restartRequiresConfirmation\" value=\"false\" />\n </component>\n <component name=\"RecentsManager\">\n <key name=\"MoveFile.RECENT_KEYS\">\n <recent name=\"$PROJECT_DIR$/experment_result/learning_rate\" />\n </key>\n </component>\n <component name=\"RunManager\" selected=\"Python.eval\">\n <configuration name=\"eval\" type=\"PythonConfigurationType\" factoryName=\"Python\" temporary=\"true\" nameIsGenerated=\"true\">\n <module name=\"CPI\" />\n <option name=\"INTERPRETER_OPTIONS\" value=\"\" />\n <option name=\"PARENT_ENVS\" value=\"true\" />\n <envs>\n <env name=\"PYTHONUNBUFFERED\" value=\"1\" />\n </envs>\n <option name=\"SDK_HOME\" value=\"\" />\n <option name=\"WORKING_DIRECTORY\" value=\"$PROJECT_DIR$\" />\n <option name=\"IS_MODULE_SDK\" value=\"true\" />\n <option name=\"ADD_CONTENT_ROOTS\" value=\"true\" />\n <option name=\"ADD_SOURCE_ROOTS\" value=\"true\" />\n <EXTENSION ID=\"PythonCoverageRunConfigurationExtension\" runner=\"coverage.py\" />\n <option name=\"SCRIPT_NAME\" value=\"$PROJECT_DIR$/eval.py\" />\n <option name=\"PARAMETERS\" value=\"\" />\n <option 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FILE_PATH=\"coverage/CPI$eval.coverage\" NAME=\"eval Coverage Results\" MODIFIED=\"1618396849549\" SOURCE_PROVIDER=\"com.intellij.coverage.DefaultCoverageFileProvider\" RUNNER=\"coverage.py\" COVERAGE_BY_TEST_ENABLED=\"true\" COVERAGE_TRACING_ENABLED=\"false\" WORKING_DIRECTORY=\"$PROJECT_DIR$\" />\n <SUITE FILE_PATH=\"coverage/CPI$run_interaction.coverage\" NAME=\"run_interaction Coverage Results\" MODIFIED=\"1618133791228\" SOURCE_PROVIDER=\"com.intellij.coverage.DefaultCoverageFileProvider\" RUNNER=\"coverage.py\" COVERAGE_BY_TEST_ENABLED=\"true\" COVERAGE_TRACING_ENABLED=\"false\" WORKING_DIRECTORY=\"$PROJECT_DIR$\" />\n </component>\n</project>
-Subsystem: com.intellij.openapi.diff.impl.patch.CharsetEP
-<+>UTF-8
-===================================================================
-diff --git a/.idea/workspace.xml b/.idea/workspace.xml
---- a/.idea/workspace.xml (revision 9ad087cc206a1aaa224fb400aceeebf955c664e1)
-+++ b/.idea/workspace.xml (date 1618543228916)
-@@ -3,9 +3,6 @@
- <component name="ChangeListManager">
- <list default="true" id="f877ac68-9cea-46d8-9125-207eebe5b5d6" name="Default Changelist" comment="">
- <change beforePath="$PROJECT_DIR$/.idea/workspace.xml" beforeDir="false" afterPath="$PROJECT_DIR$/.idea/workspace.xml" afterDir="false" />
-- <change beforePath="$PROJECT_DIR$/eval.py" beforeDir="false" afterPath="$PROJECT_DIR$/eval.py" afterDir="false" />
-- <change beforePath="$PROJECT_DIR$/experment_result/loss.png" beforeDir="false" afterPath="$PROJECT_DIR$/experment_result/learning_rate/loss.png" afterDir="false" />
-- <change beforePath="$PROJECT_DIR$/experment_result/loss.svg" beforeDir="false" />
- </list>
- <option name="SHOW_DIALOG" value="false" />
- <option name="HIGHLIGHT_CONFLICTS" value="true" />
Index: .idea/workspace.xml
IDEA additional info:
Subsystem: com.intellij.openapi.diff.impl.patch.BaseRevisionTextPatchEP
<+><?xml version=\"1.0\" encoding=\"UTF-8\"?>\r\n<project version=\"4\">\r\n <component name=\"ChangeListManager\">\r\n <list default=\"true\" id=\"f877ac68-9cea-46d8-9125-207eebe5b5d6\" name=\"Default Changelist\" comment=\"\">\r\n <change beforePath=\"$PROJECT_DIR$/.gitignore\" beforeDir=\"false\" afterPath=\"$PROJECT_DIR$/.gitignore\" afterDir=\"false\" />\r\n <change beforePath=\"$PROJECT_DIR$/.idea/workspace.xml\" beforeDir=\"false\" afterPath=\"$PROJECT_DIR$/.idea/workspace.xml\" afterDir=\"false\" />\r\n <change beforePath=\"$PROJECT_DIR$/run_interaction.py\" beforeDir=\"false\" afterPath=\"$PROJECT_DIR$/run_interaction.py\" afterDir=\"false\" />\r\n </list>\r\n <option name=\"SHOW_DIALOG\" value=\"false\" />\r\n <option name=\"HIGHLIGHT_CONFLICTS\" value=\"true\" />\r\n <option name=\"HIGHLIGHT_NON_ACTIVE_CHANGELIST\" value=\"false\" />\r\n <option name=\"LAST_RESOLUTION\" value=\"IGNORE\" />\r\n </component>\r\n <component name=\"FileTemplateManagerImpl\">\r\n <option name=\"RECENT_TEMPLATES\">\r\n <list>\r\n <option value=\"Python Script\" />\r\n </list>\r\n </option>\r\n </component>\r\n <component name=\"Git.Settings\">\r\n <option name=\"RECENT_GIT_ROOT_PATH\" value=\"$PROJECT_DIR$\" />\r\n <option name=\"UPDATE_TYPE\" value=\"REBASE\" />\r\n </component>\r\n <component name=\"GitSEFilterConfiguration\">\r\n <file-type-list>\r\n <filtered-out-file-type name=\"LOCAL_BRANCH\" />\r\n <filtered-out-file-type name=\"REMOTE_BRANCH\" />\r\n <filtered-out-file-type name=\"TAG\" />\r\n <filtered-out-file-type name=\"COMMIT_BY_MESSAGE\" />\r\n </file-type-list>\r\n </component>\r\n <component name=\"ProjectId\" id=\"1qpu2Wq6VU5TQVQOm73pQEwAahA\" />\r\n <component name=\"ProjectLevelVcsManager\">\r\n <ConfirmationsSetting value=\"1\" id=\"Add\" />\r\n </component>\r\n <component name=\"ProjectViewState\">\r\n <option name=\"hideEmptyMiddlePackages\" value=\"true\" />\r\n <option name=\"showLibraryContents\" value=\"true\" />\r\n </component>\r\n <component 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/>\r\n <option name=\"REDIRECT_INPUT\" value=\"false\" />\r\n <option name=\"INPUT_FILE\" value=\"\" />\r\n <method v=\"2\" />\r\n </configuration>\r\n <configuration name=\"test\" type=\"PythonConfigurationType\" factoryName=\"Python\" temporary=\"true\" nameIsGenerated=\"true\">\r\n <module name=\"CPI\" />\r\n <option name=\"INTERPRETER_OPTIONS\" value=\"\" />\r\n <option name=\"PARENT_ENVS\" value=\"true\" />\r\n <envs>\r\n <env name=\"PYTHONUNBUFFERED\" value=\"1\" />\r\n </envs>\r\n <option name=\"SDK_HOME\" value=\"\" />\r\n <option name=\"WORKING_DIRECTORY\" value=\"$PROJECT_DIR$\" />\r\n <option name=\"IS_MODULE_SDK\" value=\"true\" />\r\n <option name=\"ADD_CONTENT_ROOTS\" value=\"true\" />\r\n <option name=\"ADD_SOURCE_ROOTS\" value=\"true\" />\r\n <EXTENSION ID=\"PythonCoverageRunConfigurationExtension\" runner=\"coverage.py\" />\r\n <option name=\"SCRIPT_NAME\" value=\"$PROJECT_DIR$/test.py\" />\r\n <option name=\"PARAMETERS\" value=\"\" />\r\n <option name=\"SHOW_COMMAND_LINE\" value=\"false\" />\r\n <option name=\"EMULATE_TERMINAL\" value=\"false\" />\r\n <option name=\"MODULE_MODE\" value=\"false\" />\r\n <option name=\"REDIRECT_INPUT\" value=\"false\" />\r\n <option name=\"INPUT_FILE\" value=\"\" />\r\n <method v=\"2\" />\r\n </configuration>\r\n <recent_temporary>\r\n <list>\r\n <item itemvalue=\"Python.run_interaction\" />\r\n <item itemvalue=\"Python.test\" />\r\n <item itemvalue=\"Python.dataset\" />\r\n <item itemvalue=\"Python.eval\" />\r\n </list>\r\n </recent_temporary>\r\n </component>\r\n <component name=\"SpellCheckerSettings\" RuntimeDictionaries=\"0\" Folders=\"0\" CustomDictionaries=\"0\" DefaultDictionary=\"application-level\" UseSingleDictionary=\"true\" transferred=\"true\" />\r\n <component name=\"TaskManager\">\r\n <task active=\"true\" id=\"Default\" summary=\"Default task\">\r\n <changelist id=\"f877ac68-9cea-46d8-9125-207eebe5b5d6\" name=\"Default Changelist\" comment=\"\" />\r\n <created>1617788646167</created>\r\n <option name=\"number\" value=\"Default\" />\r\n <option name=\"presentableId\" value=\"Default\" />\r\n <updated>1617788646167</updated>\r\n <workItem from=\"1617788647548\" duration=\"5550000\" />\r\n </task>\r\n <servers />\r\n </component>\r\n <component name=\"TypeScriptGeneratedFilesManager\">\r\n <option name=\"version\" value=\"3\" />\r\n </component>\r\n <component name=\"Vcs.Log.Tabs.Properties\">\r\n <option name=\"TAB_STATES\">\r\n <map>\r\n <entry key=\"MAIN\">\r\n <value>\r\n <State />\r\n </value>\r\n </entry>\r\n </map>\r\n </option>\r\n </component>\r\n <component name=\"XDebuggerManager\">\r\n <breakpoint-manager>\r\n <breakpoints>\r\n <line-breakpoint enabled=\"true\" suspend=\"THREAD\" type=\"python-line\">\r\n <url>file://$PROJECT_DIR$/eval.py</url>\r\n <line>36</line>\r\n <option name=\"timeStamp\" value=\"21\" />\r\n </line-breakpoint>\r\n </breakpoints>\r\n </breakpoint-manager>\r\n </component>\r\n <component name=\"com.intellij.coverage.CoverageDataManagerImpl\">\r\n <SUITE FILE_PATH=\"coverage/CPI$dataset.coverage\" NAME=\"dataset Coverage Results\" MODIFIED=\"1618641059668\" SOURCE_PROVIDER=\"com.intellij.coverage.DefaultCoverageFileProvider\" RUNNER=\"coverage.py\" COVERAGE_BY_TEST_ENABLED=\"true\" COVERAGE_TRACING_ENABLED=\"false\" WORKING_DIRECTORY=\"$PROJECT_DIR$\" />\r\n <SUITE FILE_PATH=\"coverage/CPI$test.coverage\" NAME=\"test Coverage Results\" MODIFIED=\"1618643206375\" SOURCE_PROVIDER=\"com.intellij.coverage.DefaultCoverageFileProvider\" RUNNER=\"coverage.py\" COVERAGE_BY_TEST_ENABLED=\"true\" COVERAGE_TRACING_ENABLED=\"false\" WORKING_DIRECTORY=\"$PROJECT_DIR$\" />\r\n <SUITE FILE_PATH=\"coverage/CPI$eval.coverage\" NAME=\"eval Coverage Results\" MODIFIED=\"1618396849549\" SOURCE_PROVIDER=\"com.intellij.coverage.DefaultCoverageFileProvider\" RUNNER=\"coverage.py\" COVERAGE_BY_TEST_ENABLED=\"true\" COVERAGE_TRACING_ENABLED=\"false\" WORKING_DIRECTORY=\"$PROJECT_DIR$\" />\r\n <SUITE FILE_PATH=\"coverage/CPI$run_interaction.coverage\" NAME=\"run_interaction Coverage Results\" MODIFIED=\"1618917155441\" SOURCE_PROVIDER=\"com.intellij.coverage.DefaultCoverageFileProvider\" RUNNER=\"coverage.py\" COVERAGE_BY_TEST_ENABLED=\"true\" COVERAGE_TRACING_ENABLED=\"false\" WORKING_DIRECTORY=\"$PROJECT_DIR$\" />\r\n </component>\r\n</project>
Subsystem: com.intellij.openapi.diff.impl.patch.CharsetEP
<+>UTF-8
===================================================================
diff --git a/.idea/workspace.xml b/.idea/workspace.xml
--- a/.idea/workspace.xml (revision a43ff66ca17fa5aa99e18028f5990e68a6469c5b)
+++ b/.idea/workspace.xml (date 1619674875599)
@@ -2,9 +2,8 @@
<project version="4">
<component name="ChangeListManager">
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.ipynb_checkpoints/eval-checkpoint.py deleted 100644 → 0
import numpy as np
import re
def eval_result(pred, label):
pred = np.array(pred)
label = np.array(label)
num = len(pred)
diff = pred - label
mse = np.sum(np.power(diff, 2)) / num
rmse = np.sqrt(mse)
pearson_co = np.corrcoef(pred, label)
return rmse, pearson_co
def eval(pred_path, label_path):
with open(pred_path, 'r') as f:
pred = f.readlines()
pred = [float(i.strip()) for i in pred]
with open(label_path, 'r') as f:
label = f.readlines()
label = [float(i.strip()) for i in label]
remse, r_mat = eval_result(pred, label)
r = r_mat[0, 1]
save_path = pred_path.replace('test.txt', 'eval_results')
with open(save_path, 'w') as f:
f.write('RMSE : {} ; Pearson Correlation Coefficient : {}'.format(remse, r))
print('RMSE : {} ; Pearson Correlation Coefficient : {}'.format(remse, r))
if __name__ == '__main__':
with open('pre_test.sh', 'r') as f:
pred_dir = f.readline()
pred_dir = pred_dir.split()[5].split('/')[-1]
pred_result = './predict/{}/test.txt'.format(pred_dir)
test_label_path = './data/test_ic50'
eval(pred_result, test_label_path)
.ipynb_checkpoints/pre_test-checkpoint.sh deleted 100644 → 0
CUDA_VISIBLE_DEVICES=7 python run_interaction.py --task=test --b=64 --output=./predict/lr-1e-5-batch-32-e-10-layer6-0428-step-57659 --config=./config/config_layer_6.json --init=./model/lr-1e-5-batch-32-e-10-layer6-0428/epoch-6-step-57659-loss-0.6694820924709807.pth --do_eval=True
\ No newline at end of file
.ipynb_checkpoints/run_interaction-checkpoint.py deleted 100644 → 0
from argparse import ArgumentParser
from dataset import Data_Encoder
import torch
from torch.utils.data import DataLoader
from configuration_bert import BertConfig
from modeling_bert import BertAffinityModel
from torch.utils.tensorboard import SummaryWriter
import os
from tqdm import tqdm
torch.set_default_tensor_type(torch.DoubleTensor)
def get_task(task_name):
if task_name.lower() == 'train':
df_train = {"sps": './data/train_sps',
"smile": './data/train_smile',
"affinity": './data/train_ic50',
}
tokenizer_config = {"vocab_file": './config/vocab.txt',
"vocab_pair": './config/drug_codes_chembl.txt',
"begin_id": '[CLS]',
"separate_id": "[SEP]",
"max_len": 256
}
return df_train, tokenizer_config
elif task_name.lower() == 'test':
df_test = {"sps": './data/test_sps',
"smile": './data/test_smile',
"affinity": './data/test_ic50',
}
tokenizer_config = {"vocab_file": './config/vocab.txt',
"vocab_pair": './config/drug_codes_chembl.txt',
"begin_id": '[CLS]',
"separate_id": "[SEP]",
"max_len": 256
}
return df_test, tokenizer_config
def train(args, model, dataset):
data_loder_para = {'batch_size': args.batch_size,
'shuffle': True,
'num_workers': args.workers,
}
data_generator = DataLoader(dataset, **data_loder_para)
model.train()
opt = torch.optim.Adam(model.parameters(), lr=args.lr)
loss_fct = torch.nn.MSELoss()
writer = SummaryWriter('./log/' + args.savedir)
num_step = args.epochs * len(data_generator)
step = 0
save_step = num_step // 10
# detect GPU
if torch.cuda.is_available():
model.cuda()
# print(model)
print('epoch num : {}'.format(args.epochs))
print('step num : {}'.format(num_step))
print('batch size : {}'.format(args.batch_size))
print('learning rate : {}'.format(args.lr))
print('begin training')
# training
for epoch in range(args.epochs):
for i, (input, token_type_ids, input_mask, affinity) in enumerate(data_generator):
# use cuda
# input model
if torch.cuda.is_available():
pred_affinity = model(input_ids=input.cuda(), token_type_ids=token_type_ids.cuda(), attention_mask=input_mask.cuda())
loss = loss_fct(pred_affinity, affinity.cuda().unsqueeze(-1))
else:
pred_affinity = model(input_ids=input, token_type_ids=token_type_ids, attention_mask=input_mask)
loss = loss_fct(pred_affinity, affinity.unsqueeze(-1))
step += 1
writer.add_scalar('loss', loss, global_step=step)
# Update gradient
opt.zero_grad()
loss.backward()
opt.step()
# if (i % 100 == 0):
print('Training at Epoch ' + str(epoch + 1) + ' step ' + str(step) + ' with loss ' + str(
loss.cpu().detach().numpy()))
# save
if epoch >= 1 and step % save_step == 0:
save_path = './model/' + args.savedir + '/'
if not os.path.exists(save_path):
os.mkdir(save_path)
torch.save(model.state_dict(), save_path + 'epoch-{}-step-{}-loss-{}.pth'.format(epoch, step, loss))
print('training over')
writer.close()
def test(args, model, dataset):
data_loder_para = {'batch_size': args.batch_size,
'shuffle': False,
'num_workers': args.workers,
}
data_generator = DataLoader(dataset, **data_loder_para)
with torch.no_grad():
if torch.cuda.is_available():
model.load_state_dict(torch.load(args.init), strict=True)
else:
model.load_state_dict(torch.load(args.init, map_location=torch.device('cpu')), strict=True)
model.eval()
if not os.path.exists(args.output):
os.mkdir(args.output)
result = args.output + '/' + '{}.txt'.format(args.task)
print('begin predicting')
with open(result, 'w') as f:
for i, (input, token_type_ids, input_mask, affinity) in enumerate(tqdm(data_generator)):
if torch.cuda.is_available():
model.cuda()
pred_affinity = model(input_ids=input.cuda(), token_type_ids=token_type_ids.cuda(),
attention_mask=input_mask.cuda())
else:
pred_affinity = model(input_ids=input, token_type_ids=token_type_ids, attention_mask=input_mask)
pred_affinity = pred_affinity.cpu().numpy()
for res in range(args.batch_size):
pred = pred_affinity[res, :][0]
f.write(str(pred) + '\n')
if args.do_eval:
os.system('python eval.py')
def main(args):
# load data
data_file, tokenizer_config = get_task(args.task)
dataset = Data_Encoder(data_file, tokenizer_config)
# creat model
print('------------------creat model---------------------------')
config = BertConfig.from_pretrained(args.config)
model = BertAffinityModel(config)
print('model name : BertAffinity')
print('task name : {}'.format(args.task))
if args.task == 'train':
train(args, model, dataset)
elif args.task in ['test']:
test(args, model, dataset)
if __name__ == '__main__':
# get parameter
parser = ArgumentParser(description='BertAffinity')
parser.add_argument('-b', '--batch-size', default=8, type=int,
metavar='N',
help='mini-batch size (default: 16), this is the total '
'batch size of all GPUs on the current node when '
'using Data Parallel or Distributed Data Parallel')
parser.add_argument('-j', '--workers', default=0, type=int, metavar='N',
help='number of data loading workers (default: 0)')
parser.add_argument('--epochs', default=50, type=int, metavar='N',
help='number of total epochs to run')
parser.add_argument('--task', choices=['train', 'test', 'channel', 'ER', 'GPCR', 'kinase'],
default='train', type=str, metavar='TASK',
help='Task name. Could be train, test, channel, ER, GPCR, kinase.')
parser.add_argument('--lr', '--learning-rate', default=1e-5, type=float,
metavar='LR', help='initial learning rate', dest='lr')
parser.add_argument('--config', default='./config/config.json', type=str, help='model config file path')
# parser.add_argument('--log', default='training_log', type=str, help='training log')
parser.add_argument('--savedir', default='train', type=str, help='log and model save path')
# parser.add_argument('--device', default='0', type=str, help='name of GPU')
parser.add_argument('--init', default='model', type=str, help='init checkpoint')
parser.add_argument('--output', default='predict', type=str, help='result save path')
# parser.add_argument('--shuffle', default=True, type=str, help='shuffle data')
parser.add_argument('--do_eval', default=False, type=bool, help='do eval')
args = parser.parse_args()
# local test
# args.task = 'train'
# args.savedir = 'local_test_train'
# args.epochs = 10
# args.lr = 1e-5
# args.config = './config/config_layer_3.json'
# args.task = 'test'
# args.init = './model/lr-1e-5-batch-32-e-10-layer3-0417-add-type-ids-and-mask/epoch-9-step-82370-loss-0.8841055645024439.pth'
# args.output = './predict/test'
# args.config = './config/config_layer_3.json'
main(args)
.ipynb_checkpoints/train-checkpoint.sh deleted 100644 → 0
CUDA_VISIBLE_DEVICES=1 python run_interaction.py --b=32 --task=train --epochs=10 --lr=1e-5 --savedir=lr-1e-5-batch-32-e-10-layer6-0428 --config=./config/config_layer_6.json
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log/experment_recode/.ipynb_checkpoints/layer12-e-10-checkpoint.txt deleted 100644 → 0
------------------creat model---------------------------
model name : BertAffinity
task name : train
epoch num : 10
step num : 41190
batch size : 64
learning rate : 1e-05
begin training
Traceback (most recent call last):
File "run_interaction.py", line 186, in <module>
main(args)
File "run_interaction.py", line 131, in main
train(args, model, dataset)
File "run_interaction.py", line 67, in train
pred_affinity = model(input.cuda().long())
File "/root/.pyenv/versions/3.7.4/lib/python3.7/site-packages/torch/nn/modules/module.py", line 722, in _call_impl
result = self.forward(*input, **kwargs)
File "/root/work/CPI/BertAffinity/CPI-main/modeling_bert.py", line 2001, in forward
return_dict=return_dict,
File "/root/.pyenv/versions/3.7.4/lib/python3.7/site-packages/torch/nn/modules/module.py", line 722, in _call_impl
result = self.forward(*input, **kwargs)
File "/root/work/CPI/BertAffinity/CPI-main/modeling_bert.py", line 577, in forward
output_attentions,
File "/root/.pyenv/versions/3.7.4/lib/python3.7/site-packages/torch/nn/modules/module.py", line 722, in _call_impl
result = self.forward(*input, **kwargs)
File "/root/work/CPI/BertAffinity/CPI-main/modeling_bert.py", line 463, in forward
past_key_value=self_attn_past_key_value,
File "/root/.pyenv/versions/3.7.4/lib/python3.7/site-packages/torch/nn/modules/module.py", line 722, in _call_impl
result = self.forward(*input, **kwargs)
File "/root/work/CPI/BertAffinity/CPI-main/modeling_bert.py", line 396, in forward
output_attentions,
File "/root/.pyenv/versions/3.7.4/lib/python3.7/site-packages/torch/nn/modules/module.py", line 722, in _call_impl
result = self.forward(*input, **kwargs)
File "/root/work/CPI/BertAffinity/CPI-main/modeling_bert.py", line 321, in forward
attention_probs = self.dropout(attention_probs)
File "/root/.pyenv/versions/3.7.4/lib/python3.7/site-packages/torch/nn/modules/module.py", line 722, in _call_impl
result = self.forward(*input, **kwargs)
File "/root/.pyenv/versions/3.7.4/lib/python3.7/site-packages/torch/nn/modules/dropout.py", line 58, in forward
return F.dropout(input, self.p, self.training, self.inplace)
File "/root/.pyenv/versions/3.7.4/lib/python3.7/site-packages/torch/nn/functional.py", line 973, in dropout
else _VF.dropout(input, p, training))
RuntimeError: CUDA out of memory. Tried to allocate 192.00 MiB (GPU 0; 10.76 GiB total capacity; 9.63 GiB already allocated; 173.12 MiB free; 9.64 GiB reserved in total by PyTorch)
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------------------creat model---------------------------
model name : BertAffinity
step num : 41180
epochs num : 10
learning rate : 0.0001
batch size: 64
begin training
Training at Epoch 1 step 0 with loss 32.121964
Training at Epoch 1 step 1 with loss 41.122543
Training at Epoch 1 step 2 with loss 33.69184
Training at Epoch 1 step 3 with loss 35.443447
Training at Epoch 1 step 4 with loss 25.40238
Training at Epoch 1 step 5 with loss 18.373196
Training at Epoch 1 step 6 with loss 22.020073
Training at Epoch 1 step 7 with loss 27.68647
Training at Epoch 1 step 8 with loss 45.857056
Training at Epoch 1 step 9 with loss 18.963127
Training at Epoch 1 step 10 with loss 10.631396
Training at Epoch 1 step 11 with loss 11.438163
Training at Epoch 1 step 12 with loss 20.105278
Training at Epoch 1 step 13 with loss 6.6680965
Training at Epoch 1 step 14 with loss 28.450703
Training at Epoch 1 step 15 with loss 11.723722
Training at Epoch 1 step 16 with loss 11.2000675
Training at Epoch 1 step 17 with loss 22.575245
Training at Epoch 1 step 18 with loss 22.406311
Training at Epoch 1 step 19 with loss 10.027184
Training at Epoch 1 step 20 with loss 12.552686
Training at Epoch 1 step 21 with loss 20.801643
Training at Epoch 1 step 22 with loss 14.534643
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Training at Epoch 1 step 24 with loss 11.993807
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Training at Epoch 1 step 26 with loss 8.750647
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Training at Epoch 1 step 29 with loss 6.23642
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Training at Epoch 1 step 31 with loss 11.159609
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Training at Epoch 1 step 33 with loss 17.28083
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Training at Epoch 1 step 56 with loss 5.2891808
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Training at Epoch 1 step 667 with loss 1.9407538
Training at Epoch 1 step 668 with loss 2.7829275
\ No newline at end of file
log/experment_recode/.ipynb_checkpoints/lr-1e-6-checkpoint.txt deleted 100644 → 0
------------------creat model---------------------------
model name : BertAffinity
step num : 41180
epochs num : 10
learning rate : 1e-06
batch size: 64
begin training
Training at Epoch 1 step 0 with loss 34.132683
Training at Epoch 1 step 1 with loss 47.82978
Training at Epoch 1 step 2 with loss 43.491646
Training at Epoch 1 step 3 with loss 48.055748
Training at Epoch 1 step 4 with loss 39.602318
Training at Epoch 1 step 5 with loss 32.03152
Training at Epoch 1 step 6 with loss 38.5665
Training at Epoch 1 step 7 with loss 48.32738
Training at Epoch 1 step 8 with loss 72.75575
Training at Epoch 1 step 9 with loss 38.825626
Training at Epoch 1 step 10 with loss 27.640772
Training at Epoch 1 step 11 with loss 29.42839
Training at Epoch 1 step 12 with loss 43.771473
Training at Epoch 1 step 13 with loss 22.09098
Training at Epoch 1 step 14 with loss 59.331406
Training at Epoch 1 step 15 with loss 33.811844
Training at Epoch 1 step 16 with loss 32.294384
Training at Epoch 1 step 17 with loss 53.26731
Training at Epoch 1 step 18 with loss 53.861053
Training at Epoch 1 step 19 with loss 30.819302
Training at Epoch 1 step 20 with loss 39.05072
Training at Epoch 1 step 21 with loss 55.90518
Training at Epoch 1 step 22 with loss 47.103195
Training at Epoch 1 step 23 with loss 61.518547
Training at Epoch 1 step 24 with loss 42.434525
Training at Epoch 1 step 25 with loss 41.378654
Training at Epoch 1 step 26 with loss 37.120346
Training at Epoch 1 step 27 with loss 47.73211
Training at Epoch 1 step 28 with loss 51.04039
Training at Epoch 1 step 29 with loss 35.20405
Training at Epoch 1 step 30 with loss 45.458973
Training at Epoch 1 step 31 with loss 47.45685
Training at Epoch 1 step 32 with loss 43.180237
Training at Epoch 1 step 33 with loss 62.32093
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Training at Epoch 1 step 35 with loss 37.221054
Training at Epoch 1 step 36 with loss 40.420326
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Training at Epoch 1 step 38 with loss 45.068565
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Training at Epoch 1 step 41 with loss 42.010365
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Training at Epoch 1 step 43 with loss 21.962568
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Training at Epoch 1 step 45 with loss 41.258488
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Training at Epoch 1 step 51 with loss 36.40724
Training at Epoch 1 step 52 with loss 33.068687
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Training at Epoch 1 step 59 with loss 44.21608
Training at Epoch 1 step 60 with loss 45.80581
Training at Epoch 1 step 61 with loss 52.002277
Training at Epoch 1 step 62 with loss 31.454288
Training at Epoch 1 step 63 with loss 43.793762
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Training at Epoch 1 step 65 with loss 34.539215
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Training at Epoch 1 step 68 with loss 27.130898
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Training at Epoch 1 step 70 with loss 37.902634
Training at Epoch 1 step 71 with loss 42.062702
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Training at Epoch 1 step 73 with loss 61.829384
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Training at Epoch 1 step 75 with loss 47.579365
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Training at Epoch 1 step 77 with loss 59.25753
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Training at Epoch 1 step 79 with loss 50.219185
Training at Epoch 1 step 80 with loss 56.459805
Training at Epoch 1 step 81 with loss 47.435993
Training at Epoch 1 step 82 with loss 52.20339
Training at Epoch 1 step 83 with loss 42.389347
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Training at Epoch 1 step 85 with loss 50.406036
Training at Epoch 1 step 86 with loss 41.897552
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Training at Epoch 1 step 91 with loss 52.593033
Training at Epoch 1 step 92 with loss 49.231873
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Training at Epoch 1 step 95 with loss 45.391407
Training at Epoch 1 step 96 with loss 32.952362
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Training at Epoch 1 step 99 with loss 50.236103
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Training at Epoch 1 step 101 with loss 41.2517
Training at Epoch 1 step 102 with loss 42.554478
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Training at Epoch 1 step 109 with loss 29.41714
Training at Epoch 1 step 110 with loss 30.569994
Training at Epoch 1 step 111 with loss 42.025795
Training at Epoch 1 step 112 with loss 48.692387
Training at Epoch 1 step 113 with loss 54.36868
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Training at Epoch 1 step 120 with loss 34.09145
Training at Epoch 1 step 121 with loss 40.819645
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Training at Epoch 1 step 124 with loss 32.66138
Training at Epoch 1 step 125 with loss 44.597702
Training at Epoch 1 step 126 with loss 35.611496
Training at Epoch 1 step 127 with loss 42.780037
Training at Epoch 1 step 128 with loss 34.679066
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Training at Epoch 1 step 130 with loss 47.829216
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Training at Epoch 1 step 136 with loss 45.66236
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Training at Epoch 1 step 141 with loss 24.25821
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Training at Epoch 1 step 156 with loss 50.03443
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Training at Epoch 1 step 158 with loss 34.047104
Training at Epoch 1 step 159 with loss 40.3133
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Training at Epoch 1 step 161 with loss 41.98937
Training at Epoch 1 step 162 with loss 28.603378
Training at Epoch 1 step 163 with loss 28.816223
Training at Epoch 1 step 164 with loss 25.238605
Training at Epoch 1 step 165 with loss 35.393738
Training at Epoch 1 step 166 with loss 33.32734
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Training at Epoch 1 step 168 with loss 23.329203
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Training at Epoch 1 step 170 with loss 27.341393
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Training at Epoch 1 step 172 with loss 21.23133
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Training at Epoch 1 step 174 with loss 50.305656
Training at Epoch 1 step 175 with loss 37.81417
Training at Epoch 1 step 176 with loss 44.351532
Training at Epoch 1 step 177 with loss 32.946877
Training at Epoch 1 step 178 with loss 34.77916
Training at Epoch 1 step 179 with loss 31.208412
Training at Epoch 1 step 180 with loss 20.413784
Training at Epoch 1 step 181 with loss 23.33643
Training at Epoch 1 step 182 with loss 22.275673
Training at Epoch 1 step 183 with loss 22.534746
Training at Epoch 1 step 184 with loss 19.037754
Training at Epoch 1 step 185 with loss 19.30429
Training at Epoch 1 step 186 with loss 20.99717
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Training at Epoch 1 step 190 with loss 19.067753
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Training at Epoch 1 step 192 with loss 22.839949
Training at Epoch 1 step 193 with loss 23.536552
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Training at Epoch 1 step 197 with loss 22.47995
Training at Epoch 1 step 198 with loss 22.607672
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Training at Epoch 1 step 201 with loss 24.957447
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Training at Epoch 1 step 204 with loss 25.997599
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Training at Epoch 1 step 208 with loss 25.692421
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Training at Epoch 1 step 214 with loss 23.498034
Training at Epoch 1 step 215 with loss 24.714779
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Training at Epoch 1 step 1025 with loss 18.335945
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Training at Epoch 1 step 1038 with loss 33.70241
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Training at Epoch 1 step 1047 with loss 31.26995
Training at Epoch 1 step 1048 with loss 41.91037
Training at Epoch 1 step 1049 with loss 62.400875
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Training at Epoch 1 step 1100 with loss 30.66143
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Training at Epoch 1 step 1140 with loss 28.03708
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Training at Epoch 1 step 1142 with loss 21.052635
Training at Epoch 1 step 1143 with loss 24.973232
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Training at Epoch 1 step 1146 with loss 16.05824
Training at Epoch 1 step 1147 with loss 19.282816
Training at Epoch 1 step 1148 with loss 20.615456
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Training at Epoch 1 step 1150 with loss 14.834539
Training at Epoch 1 step 1151 with loss 4.5786276
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Training at Epoch 1 step 1154 with loss 25.485397
Training at Epoch 1 step 1155 with loss 21.876835
Training at Epoch 1 step 1156 with loss 30.383692
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Training at Epoch 1 step 1159 with loss 10.592911
Training at Epoch 1 step 1160 with loss 22.932278
Training at Epoch 1 step 1161 with loss 16.731476
Training at Epoch 1 step 1162 with loss 37.544193
Training at Epoch 1 step 1163 with loss 8.246988
Training at Epoch 1 step 1164 with loss 9.747112
Training at Epoch 1 step 1165 with loss 20.891777
Training at Epoch 1 step 1166 with loss 32.95698
Training at Epoch 1 step 1167 with loss 30.461332
Training at Epoch 1 step 1168 with loss 35.79828
Training at Epoch 1 step 1169 with loss 43.044422
Training at Epoch 1 step 1170 with loss 39.708473
Training at Epoch 1 step 1171 with loss 37.84747
Training at Epoch 1 step 1172 with loss 42.17486
Training at Epoch 1 step 1173 with loss 36.678505
Training at Epoch 1 step 1174 with loss 24.94218
\ No newline at end of file
log/experment_recode/.ipynb_checkpoints/lr-1e-7-checkpoint.txt deleted 100644 → 0
------------------creat model---------------------------
model name : BertAffinity
step num : 41180
epochs num : 10
learning rate : 1e-07
batch size: 64
begin training
Training at Epoch 1 step 0 with loss 31.612389
Training at Epoch 1 step 1 with loss 45.079308
Training at Epoch 1 step 2 with loss 41.094475
Training at Epoch 1 step 3 with loss 45.70705
Training at Epoch 1 step 4 with loss 37.01832
Training at Epoch 1 step 5 with loss 30.083294
Training at Epoch 1 step 6 with loss 36.22071
Training at Epoch 1 step 7 with loss 45.45024
Training at Epoch 1 step 8 with loss 69.45509
Training at Epoch 1 step 9 with loss 36.69792
Training at Epoch 1 step 10 with loss 25.923634
Training at Epoch 1 step 11 with loss 27.49517
Training at Epoch 1 step 12 with loss 41.985466
Training at Epoch 1 step 13 with loss 20.77277
Training at Epoch 1 step 14 with loss 57.12632
Training at Epoch 1 step 15 with loss 31.910694
Training at Epoch 1 step 16 with loss 30.614618
Training at Epoch 1 step 17 with loss 51.20997
Training at Epoch 1 step 18 with loss 51.74587
Training at Epoch 1 step 19 with loss 29.27938
Training at Epoch 1 step 20 with loss 37.17681
Training at Epoch 1 step 21 with loss 53.645264
Training at Epoch 1 step 22 with loss 45.176094
Training at Epoch 1 step 23 with loss 59.263027
Training at Epoch 1 step 24 with loss 40.67398
Training at Epoch 1 step 25 with loss 39.76707
Training at Epoch 1 step 26 with loss 35.423424
Training at Epoch 1 step 27 with loss 46.094055
Training at Epoch 1 step 28 with loss 49.020866
Training at Epoch 1 step 29 with loss 33.86248
Training at Epoch 1 step 30 with loss 43.799866
Training at Epoch 1 step 31 with loss 45.74183
Training at Epoch 1 step 32 with loss 41.633934
Training at Epoch 1 step 33 with loss 60.59973
Training at Epoch 1 step 34 with loss 51.16494
Training at Epoch 1 step 35 with loss 35.913185
Training at Epoch 1 step 36 with loss 39.144794
Training at Epoch 1 step 37 with loss 37.41182
Training at Epoch 1 step 38 with loss 43.903015
Training at Epoch 1 step 39 with loss 42.471764
Training at Epoch 1 step 40 with loss 34.149616
Training at Epoch 1 step 41 with loss 40.503326
Training at Epoch 1 step 42 with loss 42.24097
Training at Epoch 1 step 43 with loss 21.055695
Training at Epoch 1 step 44 with loss 30.162022
Training at Epoch 1 step 45 with loss 40.08612
Training at Epoch 1 step 46 with loss 40.964245
Training at Epoch 1 step 47 with loss 35.075848
Training at Epoch 1 step 48 with loss 36.57572
Training at Epoch 1 step 49 with loss 33.868393
Training at Epoch 1 step 50 with loss 34.077244
Training at Epoch 1 step 51 with loss 35.35601
Training at Epoch 1 step 52 with loss 32.19318
Training at Epoch 1 step 53 with loss 36.602062
Training at Epoch 1 step 54 with loss 37.536995
Training at Epoch 1 step 55 with loss 31.862183
Training at Epoch 1 step 56 with loss 54.05694
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Training at Epoch 1 step 585 with loss 75.88692
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Training at Epoch 1 step 587 with loss 63.376717
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Training at Epoch 1 step 589 with loss 63.826218
Training at Epoch 1 step 590 with loss 36.664047
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Training at Epoch 1 step 597 with loss 51.650726
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Training at Epoch 1 step 599 with loss 49.652332
Training at Epoch 1 step 600 with loss 65.71828
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Training at Epoch 1 step 602 with loss 65.4209
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Training at Epoch 1 step 622 with loss 35.46168
Training at Epoch 1 step 623 with loss 45.908684
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Training at Epoch 1 step 635 with loss 51.49154
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Training at Epoch 1 step 644 with loss 99.09839
Training at Epoch 1 step 645 with loss 72.02351
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Training at Epoch 1 step 651 with loss 61.999393
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Training at Epoch 1 step 661 with loss 46.32856
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Training at Epoch 1 step 665 with loss 58.563583
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Training at Epoch 1 step 688 with loss 58.526337
Training at Epoch 1 step 689 with loss 61.933983
Training at Epoch 1 step 690 with loss 57.043724
Training at Epoch 1 step 691 with loss 47.747032
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Training at Epoch 1 step 697 with loss 44.580162
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Training at Epoch 1 step 700 with loss 45.80548
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Training at Epoch 1 step 702 with loss 63.79657
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Training at Epoch 1 step 713 with loss 45.28691
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Training at Epoch 1 step 732 with loss 37.00599
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Training at Epoch 1 step 734 with loss 48.300304
Training at Epoch 1 step 735 with loss 63.91234
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Training at Epoch 1 step 745 with loss 44.071976
Training at Epoch 1 step 746 with loss 75.178696
Training at Epoch 1 step 747 with loss 53.41449
Training at Epoch 1 step 748 with loss 63.88651
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Training at Epoch 1 step 750 with loss 48.063572
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Training at Epoch 1 step 752 with loss 46.95184
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Training at Epoch 1 step 755 with loss 48.652184
Training at Epoch 1 step 756 with loss 53.108395
Training at Epoch 1 step 757 with loss 64.39425
Training at Epoch 1 step 758 with loss 51.069355
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Training at Epoch 1 step 761 with loss 45.83921
Training at Epoch 1 step 762 with loss 30.79909
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Training at Epoch 1 step 764 with loss 45.472866
Training at Epoch 1 step 765 with loss 84.468285
Training at Epoch 1 step 766 with loss 60.58728
Training at Epoch 1 step 767 with loss 57.524376
Training at Epoch 1 step 768 with loss 51.951485
Training at Epoch 1 step 769 with loss 48.46676
Training at Epoch 1 step 770 with loss 43.57714
Training at Epoch 1 step 771 with loss 63.01037
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Training at Epoch 1 step 773 with loss 45.36738
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Training at Epoch 1 step 775 with loss 42.921577
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Training at Epoch 1 step 777 with loss 41.576973
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Training at Epoch 1 step 780 with loss 44.92529
Training at Epoch 1 step 781 with loss 44.609062
Training at Epoch 1 step 782 with loss 43.835167
Training at Epoch 1 step 783 with loss 44.010956
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Training at Epoch 1 step 785 with loss 47.207077
Training at Epoch 1 step 786 with loss 56.910698
Training at Epoch 1 step 787 with loss 61.882362
Training at Epoch 1 step 788 with loss 55.996384
Training at Epoch 1 step 789 with loss 58.698326
Training at Epoch 1 step 790 with loss 63.834164
Training at Epoch 1 step 791 with loss 32.813335
Training at Epoch 1 step 792 with loss 61.64474
Training at Epoch 1 step 793 with loss 41.634705
Training at Epoch 1 step 794 with loss 61.05635
Training at Epoch 1 step 795 with loss 59.585793
Training at Epoch 1 step 796 with loss 56.977493
Training at Epoch 1 step 797 with loss 43.987587
Training at Epoch 1 step 798 with loss 49.654877
Training at Epoch 1 step 799 with loss 39.826366
Training at Epoch 1 step 800 with loss 66.71698
Training at Epoch 1 step 801 with loss 95.903275
Training at Epoch 1 step 802 with loss 65.25282
Training at Epoch 1 step 803 with loss 67.26961
Training at Epoch 1 step 804 with loss 59.644997
Training at Epoch 1 step 805 with loss 66.93045
Training at Epoch 1 step 806 with loss 58.091465
Training at Epoch 1 step 807 with loss 29.037186
Training at Epoch 1 step 808 with loss 25.19236
Training at Epoch 1 step 809 with loss 43.230587
Training at Epoch 1 step 810 with loss 31.308706
Training at Epoch 1 step 811 with loss 21.51389
Training at Epoch 1 step 812 with loss 39.04328
Training at Epoch 1 step 813 with loss 57.557304
Training at Epoch 1 step 814 with loss 78.37889
Training at Epoch 1 step 815 with loss 35.06785
Training at Epoch 1 step 816 with loss 25.189562
Training at Epoch 1 step 817 with loss 23.494194
Training at Epoch 1 step 818 with loss 27.061499
Training at Epoch 1 step 819 with loss 44.252342
Training at Epoch 1 step 820 with loss 52.927723
Training at Epoch 1 step 821 with loss 36.031727
Training at Epoch 1 step 822 with loss 37.700607
Training at Epoch 1 step 823 with loss 45.360413
Training at Epoch 1 step 824 with loss 48.093445
Training at Epoch 1 step 825 with loss 54.734894
Training at Epoch 1 step 826 with loss 54.12648
Training at Epoch 1 step 827 with loss 50.800713
Training at Epoch 1 step 828 with loss 34.860455
Training at Epoch 1 step 829 with loss 32.3178
Training at Epoch 1 step 830 with loss 42.051453
Training at Epoch 1 step 831 with loss 34.585323
Training at Epoch 1 step 832 with loss 49.255287
Training at Epoch 1 step 833 with loss 47.495487
Training at Epoch 1 step 834 with loss 30.270977
Training at Epoch 1 step 835 with loss 31.924725
Training at Epoch 1 step 836 with loss 32.754387
Training at Epoch 1 step 837 with loss 30.946743
Training at Epoch 1 step 838 with loss 41.32585
Training at Epoch 1 step 839 with loss 67.29433
Training at Epoch 1 step 840 with loss 59.81017
Training at Epoch 1 step 841 with loss 65.169075
Training at Epoch 1 step 842 with loss 66.80782
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