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BiTransDPI
提交 a43ff66c 作者: 朱学凯
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add linux file

上级 76c56fdc
正在显示 包含 96 行增加 和 4 行删除
.ipynb_checkpoints/pre_test-checkpoint.sh 0 → 100644
CUDA_VISIBLE_DEVICES=1 python run_interaction.py --task=test --output=./predict/lr-1e-5-batch-32-e-10-layer3-0417-add-type-ids-and-mask-step-24711 --config=./config/config_layer_3.json --init=./model/lr-1e-5-batch-32-e-10-layer3-0417-add-type-ids-and-mask/epoch-2-step-24711-loss-0.9765299144620636.pth --do_eval=True
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.ipynb_checkpoints/train-checkpoint.sh 0 → 100644
CUDA_VISIBLE_DEVICES=4 python run_interaction.py --b=32 --task=train --epochs=10 --lr=1e-5 --savedir=lr-1e-5-batch-32-e-10-layer9-0420 --config=./config/config_layer_9.json
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config/.ipynb_checkpoints/vocab-checkpoint.txt 0 → 100755
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log/.ipynb_checkpoints/layer12-e-10-checkpoint.txt 0 → 100644
------------------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)
log/add-type-ids-and-mask-batch-64.txt 0 → 100644
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log/add-type-ids-and-mask.txt 0 → 100644
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log/layer12-e-10.txt 0 → 100644
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log/layer3-e-10.txt 0 → 100644
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log/layer6-e-10.txt 0 → 100644
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log/layer9-e-10.txt 0 → 100644
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log/lr-1e-4.txt 0 → 100644
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log/lr-1e-5-0411.txt 0 → 100644
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log/lr-1e-5.txt 0 → 100644
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log/lr-1e-6-0411.txt 0 → 100644
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log/lr-1e-6.txt 0 → 100644
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log/lr-1e-7.txt 0 → 100644
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pre_test.sh
CUDA_VISIBLE_DEVICES=1 python run_interaction.py --task=test --output=./predict/lr-1e-6-batch-64-layer3-0411-2-9439_test_sh --config=./config/config_layer_3.json --init=./model/lr-1e-6-batch-64-layer3-0411/epoch-2-step-9439-loss-2.063138484954834.pth --do_eval=True
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CUDA_VISIBLE_DEVICES=1 python run_interaction.py --task=test --output=./predict/lr-1e-5-batch-32-e-10-layer3-0417-add-type-ids-and-mask-step-24711 --config=./config/config_layer_3.json --init=./model/lr-1e-5-batch-32-e-10-layer3-0417-add-type-ids-and-mask/epoch-2-step-24711-loss-0.9765299144620636.pth --do_eval=True
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predict/lr-1e-5-batch-32-e-10-layer3-0417-add-type-ids-and-mask-step-24711/.ipynb_checkpoints/eval_results-checkpoint 0 → 100644
RMSE : 1.1800662398679211 ; Pearson Correlation Coefficient : 0.6371230205539953
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predict/lr-1e-5-batch-32-e-10-layer3-0417-add-type-ids-and-mask-step-24711/eval_results 0 → 100644
RMSE : 1.1800662398679211 ; Pearson Correlation Coefficient : 0.6371230205539953
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predict/lr-1e-5-batch-32-e-10-layer3-0417-add-type-ids-and-mask-step-24711/test.txt 0 → 100644
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predict/lr-1e-5-batch-32-e-10-layer3-0417-add-type-ids-and-mask-step-57659/eval_results 0 → 100644
RMSE : 1.0925362502477178 ; Pearson Correlation Coefficient : 0.6900108592743197
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predict/lr-1e-5-batch-32-e-10-layer3-0417-add-type-ids-and-mask-step-57659/test.txt 0 → 100644
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predict/lr-1e-5-batch-32-e-10-layer3-0417-add-type-ids-and-mask-step-74133/eval_results 0 → 100644
RMSE : 1.0801180192483395 ; Pearson Correlation Coefficient : 0.7074726771734463
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predict/lr-1e-5-batch-32-e-10-layer3-0417-add-type-ids-and-mask-step-74133/test.txt 0 → 100644
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predict/lr-1e-5-batch-32-e-10-layer3-0417-add-type-ids-and-mask-step-82370/.ipynb_checkpoints/eval_results-checkpoint 0 → 100644
RMSE : 1.0795645303119095 ; Pearson Correlation Coefficient : 0.7137683236148267
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predict/lr-1e-5-batch-32-e-10-layer3-0417-add-type-ids-and-mask-step-82370/eval_results 0 → 100644
RMSE : 1.0795645303119095 ; Pearson Correlation Coefficient : 0.7137683236148267
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predict/lr-1e-5-batch-32-e-10-layer3-0417-add-type-ids-and-mask-step-82370/test.txt 0 → 100644
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predict/lr-1e-5-batch-64-e-10-layer12-0413-step-22475/eval_results 0 → 100644
RMSE : 1.2921833301238281 ; Pearson Correlation Coefficient : 0.5713543604043899
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predict/lr-1e-5-batch-64-e-10-layer12-0413-step-22475/test.txt 0 → 100644
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predict/lr-1e-5-batch-64-e-10-layer12-0413-step-44786/eval_results 0 → 100644
RMSE : 1.1695102122601202 ; Pearson Correlation Coefficient : 0.6540429753929808
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predict/lr-1e-5-batch-64-e-10-layer12-0413-step-44786/test.txt 0 → 100644
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predict/lr-1e-5-batch-64-e-10-layer12-0413-step-60060/eval_results 0 → 100644
RMSE : 1.1588230163848734 ; Pearson Correlation Coefficient : 0.6776780310033444
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predict/lr-1e-5-batch-64-e-10-layer12-0413-step-60060/test.txt 0 → 100644
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predict/lr-1e-5-batch-64-e-10-layer12-0413-step-62460/eval_results 0 → 100644
RMSE : 1.1284898162374712 ; Pearson Correlation Coefficient : 0.6893424375303417
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predict/lr-1e-5-batch-64-e-10-layer12-0413-step-62460/test.txt 0 → 100644
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predict/lr-1e-5-batch-64-e-10-layer12-0413-step-73097/eval_results 0 → 100644
RMSE : 1.0856860163506974 ; Pearson Correlation Coefficient : 0.7029208377740032
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predict/lr-1e-5-batch-64-e-10-layer12-0413-step-73097/test.txt 0 → 100644
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predict/lr-1e-5-batch-64-e-10-layer12-0413-step-80134/.ipynb_checkpoints/eval_results-checkpoint 0 → 100644
RMSE : 1.091491741778561 ; Pearson Correlation Coefficient : 0.711841625345012
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predict/lr-1e-5-batch-64-e-10-layer12-0413-step-80134/.ipynb_checkpoints/test-checkpoint.txt 0 → 100644
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predict/lr-1e-5-batch-64-e-10-layer12-0413-step-80134/eval_results 0 → 100644
RMSE : 1.091491741778561 ; Pearson Correlation Coefficient : 0.711841625345012
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predict/lr-1e-5-batch-64-e-10-layer12-0413-step-80134/test.txt 0 → 100644
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predict/lr-1e-5-batch-64-e-10-layer3-0413-step-30034/eval_results 0 → 100644
RMSE : 1.1471513950910313 ; Pearson Correlation Coefficient : 0.6513391764384089
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predict/lr-1e-5-batch-64-e-10-layer3-0413-step-30034/test.txt 0 → 100644
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predict/lr-1e-5-batch-64-e-10-layer3-0413-step-40672/.ipynb_checkpoints/eval_results-checkpoint 0 → 100644
RMSE : 1.0806709885951111 ; Pearson Correlation Coefficient : 0.6831883388665838
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predict/lr-1e-5-batch-64-e-10-layer3-0413-step-40672/eval_results 0 → 100644
RMSE : 1.0806709885951111 ; Pearson Correlation Coefficient : 0.6831883388665838
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predict/lr-1e-5-batch-64-e-10-layer3-0413-step-40672/test.txt 0 → 100644
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predict/lr-1e-5-batch-64-e-10-layer6-0413-step-20077/eval_results 0 → 100644
RMSE : 1.1602020910240243 ; Pearson Correlation Coefficient : 0.633741710659639
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predict/lr-1e-5-batch-64-e-10-layer6-0413-step-20077/test.txt 0 → 100644
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predict/lr-1e-5-batch-64-e-10-layer6-0413-step-34153/eval_results 0 → 100644
RMSE : 1.132290226079478 ; Pearson Correlation Coefficient : 0.682157206729335
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predict/lr-1e-5-batch-64-e-10-layer6-0413-step-34153/test.txt 0 → 100644
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predict/lr-1e-5-batch-64-e-10-layer6-0413-step-38272/eval_results 0 → 100644
RMSE : 1.1167758028996482 ; Pearson Correlation Coefficient : 0.690795009775518
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predict/lr-1e-5-batch-64-e-10-layer6-0413-step-38272/test.txt 0 → 100644
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predict/lr-1e-5-batch-64-e-10-layer9-0413-step-28834/eval_results 0 → 100644
RMSE : 1.1406216440849726 ; Pearson Correlation Coefficient : 0.6539626517179749
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predict/lr-1e-5-batch-64-e-10-layer9-0413-step-28834/test.txt 0 → 100644
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predict/lr-1e-5-batch-64-layer3-0413-2-11839/.ipynb_checkpoints/eval_results-checkpoint 0 → 100644
RMSE : 1.2460797962867016 ; Pearson Correlation Coefficient : 0.5748486828479313
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predict/lr-1e-5-batch-64-layer3-0413-2-11839/eval_results 0 → 100644
RMSE : 1.2460797962867016 ; Pearson Correlation Coefficient : 0.5748486828479313
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predict/lr-1e-5-batch-64-layer3-0413-2-11839/test.txt 0 → 100644
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predict/lr-1e-5-batch-64-layer3-0413-2-8239/eval_results 0 → 100644
RMSE : 1.2546981238745938 ; Pearson Correlation Coefficient : 0.5300747252412972
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predict/lr-1e-5-batch-64-layer3-0413-2-8239/test.txt 0 → 100644
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predict/lr-1e-6-batch-64-layer3-0411-2-9439/.ipynb_checkpoints/test-checkpoint.txt 0 → 100644
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train.sh
CUDA_VISIBLE_DEVICES=1 python run_interaction.py --b=64 --task=train --epochs=5 --lr=1e-7 --savedir=lr-1e-7-batch-64-layer3 --config=./config/config_layer_3.json --shuffle=True
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CUDA_VISIBLE_DEVICES=4 python run_interaction.py --b=32 --task=train --epochs=10 --lr=1e-5 --savedir=lr-1e-5-batch-32-e-10-layer9-0420 --config=./config/config_layer_9.json
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