We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
training arguments: if_test: False run_model: seqgan k_label: 2 dataset: oracle model_type: vanilla loss_type: rsgan if_real_data: False cuda: True device: 0 shuffle: False gen_init: truncated_normal dis_init: uniform samples_num: 10000 vocab_size: 5000 mle_epoch: 150 clas_pre_epoch: 10 adv_epoch: 2000 inter_epoch: 15 batch_size: 64 max_seq_len: 20 start_letter: 1 padding_idx: 0 gen_lr: 0.01 gen_adv_lr: 0.0001 dis_lr: 0.0001 clip_norm: 5.0 pre_log_step: 10 adv_log_step: 20 train_data: dataset/oracle.txt test_data: dataset/testdata/oracle_test.txt temp_adpt: exp temperature: 1 ora_pretrain: True gen_pretrain: False dis_pretrain: False adv_g_step: 1 rollout_num: 16 gen_embed_dim: 32 gen_hidden_dim: 32 goal_size: 16 step_size: 4 mem_slots: 1 num_heads: 2 head_size: 256 d_step: 5 d_epoch: 3 adv_d_step: 5 adv_d_epoch: 3 dis_embed_dim: 64 dis_hidden_dim: 64 num_rep: 64 use_nll_oracle: True use_nll_gen: True use_nll_div: True use_bleu: True use_self_bleu: True use_clas_acc: True use_ppl: False log_file: log/log_0731_1038_46.txt save_root: save/20200731/oracle/seqgan_vanilla_lt-rsgan_sl20_temp1_T0731_1038_46/ signal_file: run_signal.txt tips: ==================================================================================================== Starting Generator MLE Training... [MLE-GEN] epoch 0 : pre_loss = 7.8660, NLL_oracle = 9.9152, NLL_gen = 7.7255, NLL_div = 7.7996 [MLE-GEN] epoch 10 : pre_loss = 7.1071, NLL_oracle = 9.2863, NLL_gen = 7.0592, NLL_div = 7.1416 [MLE-GEN] epoch 20 : pre_loss = 6.7752, NLL_oracle = 9.1259, NLL_gen = 6.7668, NLL_div = 6.7878 [MLE-GEN] epoch 30 : pre_loss = 6.5874, NLL_oracle = 9.0911, NLL_gen = 6.5832, NLL_div = 6.5767 [MLE-GEN] epoch 40 : pre_loss = 6.4855, NLL_oracle = 9.0727, NLL_gen = 6.473, NLL_div = 6.4514 [MLE-GEN] epoch 50 : pre_loss = 6.4151, NLL_oracle = 9.0601, NLL_gen = 6.3907, NLL_div = 6.3667 [MLE-GEN] epoch 60 : pre_loss = 6.3669, NLL_oracle = 9.0677, NLL_gen = 6.3345, NLL_div = 6.3069 [MLE-GEN] epoch 70 : pre_loss = 6.3282, NLL_oracle = 9.0544, NLL_gen = 6.2672, NLL_div = 6.2518 [MLE-GEN] epoch 80 : pre_loss = 6.2894, NLL_oracle = 9.0483, NLL_gen = 6.2203, NLL_div = 6.2093 [MLE-GEN] epoch 90 : pre_loss = 6.2711, NLL_oracle = 9.0562, NLL_gen = 6.1969, NLL_div = 6.1857 [MLE-GEN] epoch 100 : pre_loss = 6.2481, NLL_oracle = 9.0306, NLL_gen = 6.1654, NLL_div = 6.1537 [MLE-GEN] epoch 110 : pre_loss = 6.2363, NLL_oracle = 9.0364, NLL_gen = 6.1292, NLL_div = 6.1452 [MLE-GEN] epoch 120 : pre_loss = 6.2178, NLL_oracle = 9.0427, NLL_gen = 6.1125, NLL_div = 6.1228 [MLE-GEN] epoch 130 : pre_loss = 6.2085, NLL_oracle = 9.0212, NLL_gen = 6.1075, NLL_div = 6.108 [MLE-GEN] epoch 140 : pre_loss = 6.2119, NLL_oracle = 9.022, NLL_gen = 6.1081, NLL_div = 6.1021 [MLE-GEN] epoch 149 : pre_loss = 6.1958, NLL_oracle = 9.0302, NLL_gen = 6.085, NLL_div = 6.0905 Traceback (most recent call last): File "main.py", line 131, in inst._run() File "/home/oneseven/text/instructor/oracle_data/seqgan_instructor.py", line 43, in _run torch.save(self.gen.state_dict(), cfg.pretrained_gen_path) File "/home/oneseven/Python-3.6.2/lib/python3.6/site-packages/torch/serialization.py", line 369, in save with _open_file_like(f, 'wb') as opened_file: File "/home/oneseven/Python-3.6.2/lib/python3.6/site-packages/torch/serialization.py", line 234, in _open_file_like return _open_file(name_or_buffer, mode) File "/home/oneseven/Python-3.6.2/lib/python3.6/site-packages/torch/serialization.py", line 215, in init super(_open_file, self).init(open(name, mode)) PermissionError: [Errno 13] Permission denied: 'pretrain/oracle_data/gen_MLE_pretrain_seqgan_vanilla_sl20_sn10000.pt'
training arguments:
if_test: False run_model: seqgan k_label: 2 dataset: oracle model_type: vanilla loss_type: rsgan if_real_data: False cuda: True device: 0 shuffle: False gen_init: truncated_normal dis_init: uniform samples_num: 10000 vocab_size: 5000 mle_epoch: 150 clas_pre_epoch: 10 adv_epoch: 2000 inter_epoch: 15 batch_size: 64 max_seq_len: 20 start_letter: 1 padding_idx: 0 gen_lr: 0.01 gen_adv_lr: 0.0001 dis_lr: 0.0001 clip_norm: 5.0 pre_log_step: 10 adv_log_step: 20 train_data: dataset/oracle.txt test_data: dataset/testdata/oracle_test.txt temp_adpt: exp temperature: 1 ora_pretrain: True gen_pretrain: False dis_pretrain: False adv_g_step: 1 rollout_num: 16 gen_embed_dim: 32 gen_hidden_dim: 32 goal_size: 16 step_size: 4 mem_slots: 1 num_heads: 2 head_size: 256 d_step: 5 d_epoch: 3 adv_d_step: 5 adv_d_epoch: 3 dis_embed_dim: 64 dis_hidden_dim: 64 num_rep: 64 use_nll_oracle: True use_nll_gen: True use_nll_div: True use_bleu: True use_self_bleu: True use_clas_acc: True use_ppl: False log_file: log/log_0731_1038_46.txt save_root: save/20200731/oracle/seqgan_vanilla_lt-rsgan_sl20_temp1_T0731_1038_46/ signal_file: run_signal.txt tips: ==================================================================================================== Starting Generator MLE Training... [MLE-GEN] epoch 0 : pre_loss = 7.8660, NLL_oracle = 9.9152, NLL_gen = 7.7255, NLL_div = 7.7996 [MLE-GEN] epoch 10 : pre_loss = 7.1071, NLL_oracle = 9.2863, NLL_gen = 7.0592, NLL_div = 7.1416 [MLE-GEN] epoch 20 : pre_loss = 6.7752, NLL_oracle = 9.1259, NLL_gen = 6.7668, NLL_div = 6.7878 [MLE-GEN] epoch 30 : pre_loss = 6.5874, NLL_oracle = 9.0911, NLL_gen = 6.5832, NLL_div = 6.5767 [MLE-GEN] epoch 40 : pre_loss = 6.4855, NLL_oracle = 9.0727, NLL_gen = 6.473, NLL_div = 6.4514 [MLE-GEN] epoch 50 : pre_loss = 6.4151, NLL_oracle = 9.0601, NLL_gen = 6.3907, NLL_div = 6.3667 [MLE-GEN] epoch 60 : pre_loss = 6.3669, NLL_oracle = 9.0677, NLL_gen = 6.3345, NLL_div = 6.3069 [MLE-GEN] epoch 70 : pre_loss = 6.3282, NLL_oracle = 9.0544, NLL_gen = 6.2672, NLL_div = 6.2518 [MLE-GEN] epoch 80 : pre_loss = 6.2894, NLL_oracle = 9.0483, NLL_gen = 6.2203, NLL_div = 6.2093 [MLE-GEN] epoch 90 : pre_loss = 6.2711, NLL_oracle = 9.0562, NLL_gen = 6.1969, NLL_div = 6.1857 [MLE-GEN] epoch 100 : pre_loss = 6.2481, NLL_oracle = 9.0306, NLL_gen = 6.1654, NLL_div = 6.1537 [MLE-GEN] epoch 110 : pre_loss = 6.2363, NLL_oracle = 9.0364, NLL_gen = 6.1292, NLL_div = 6.1452 [MLE-GEN] epoch 120 : pre_loss = 6.2178, NLL_oracle = 9.0427, NLL_gen = 6.1125, NLL_div = 6.1228 [MLE-GEN] epoch 130 : pre_loss = 6.2085, NLL_oracle = 9.0212, NLL_gen = 6.1075, NLL_div = 6.108 [MLE-GEN] epoch 140 : pre_loss = 6.2119, NLL_oracle = 9.022, NLL_gen = 6.1081, NLL_div = 6.1021 [MLE-GEN] epoch 149 : pre_loss = 6.1958, NLL_oracle = 9.0302, NLL_gen = 6.085, NLL_div = 6.0905 Traceback (most recent call last): File "main.py", line 131, in inst._run() File "/home/oneseven/text/instructor/oracle_data/seqgan_instructor.py", line 43, in _run torch.save(self.gen.state_dict(), cfg.pretrained_gen_path) File "/home/oneseven/Python-3.6.2/lib/python3.6/site-packages/torch/serialization.py", line 369, in save with _open_file_like(f, 'wb') as opened_file: File "/home/oneseven/Python-3.6.2/lib/python3.6/site-packages/torch/serialization.py", line 234, in _open_file_like return _open_file(name_or_buffer, mode) File "/home/oneseven/Python-3.6.2/lib/python3.6/site-packages/torch/serialization.py", line 215, in init super(_open_file, self).init(open(name, mode)) PermissionError: [Errno 13] Permission denied: 'pretrain/oracle_data/gen_MLE_pretrain_seqgan_vanilla_sl20_sn10000.pt'
The text was updated successfully, but these errors were encountered:
No branches or pull requests
I have no idea why this error happend. Maybe someone have the same question before?
The text was updated successfully, but these errors were encountered: