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3820 3821 3822 3823 3824 3825 3826 3827 3828 3829 3830 3831 3832 3833 3834 3835 3836 3837 3838 3839 3840 3841 3842 3843 3844 3845 3846 3847 3848 3849 3850 3851 3852 3853 3854 3855 3856 3857 3858 3859 3860 3861 3862 3863 3864 3865 3866 3867 3868 | 11/03/2023 11:21:35 - INFO - root - Input args: Namespace(adam_epsilon=1e-08, cache_dir='', config_name='', data_dir='./data/oversample//comp', do_eval=True, do_lower_case=False, do_predict=True, do_predict_dev=False, do_train=True, eval_all_checkpoints=True, eval_test_set=True, evaluate_during_training=False, fp16=False, fp16_opt_level='O1', gradient_accumulation_steps=1, init_checkpoint=None, learning_rate=1e-05, local_rank=-1, log_file='train', logging_steps=50, max_grad_norm=1.0, max_seq_length=256, max_steps=-1, model_name_or_path='roberta-large', model_type='roberta', no_cuda=False, num_train_epochs=10.0, output_dir='./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//', overwrite_cache=False, overwrite_output_dir=True, per_gpu_eval_batch_size=8, per_gpu_train_batch_size=32, save_only_best_checkpoint=True, save_steps=20, seed=42, server_ip='', server_port='', task_name='comp', test_split='test', tokenizer_name='', train_split='train', warmup_steps=0, weight_decay=0.0)
11/03/2023 11:21:35 - WARNING - __main__ - Process rank: -1, device: cuda, n_gpu: 1, distributed training: False, 16-bits training: False
11/03/2023 11:21:35 - INFO - __main__ - config = RobertaConfig {
"architectures": [
"RobertaForMaskedLM"
],
"attention_probs_dropout_prob": 0.1,
"bos_token_id": 0,
"classifier_dropout": null,
"eos_token_id": 2,
"finetuning_task": "comp",
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 1024,
"id2label": {
"0": "LABEL_0",
"1": "LABEL_1",
"2": "LABEL_2"
},
"initializer_range": 0.02,
"intermediate_size": 4096,
"label2id": {
"LABEL_0": 0,
"LABEL_1": 1,
"LABEL_2": 2
},
"layer_norm_eps": 1e-05,
"max_position_embeddings": 514,
"model_type": "roberta",
"num_attention_heads": 16,
"num_hidden_layers": 24,
"pad_token_id": 1,
"position_embedding_type": "absolute",
"transformers_version": "4.34.1",
"type_vocab_size": 1,
"use_cache": true,
"vocab_size": 50265
}
11/03/2023 11:21:36 - INFO - __main__ - Training/evaluation parameters Namespace(adam_epsilon=1e-08, cache_dir='', config_name='', data_dir='./data/oversample//comp', device=device(type='cuda'), do_eval=True, do_lower_case=False, do_predict=True, do_predict_dev=False, do_train=True, eval_all_checkpoints=True, eval_test_set=True, evaluate_during_training=False, fp16=False, fp16_opt_level='O1', gradient_accumulation_steps=1, init_checkpoint=None, learning_rate=1e-05, local_rank=-1, log_file='train', logging_steps=50, max_grad_norm=1.0, max_seq_length=256, max_steps=-1, model_name_or_path='roberta-large', model_type='roberta', n_gpu=1, no_cuda=False, num_train_epochs=10.0, output_dir='./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//', output_mode='classification', overwrite_cache=False, overwrite_output_dir=True, per_gpu_eval_batch_size=8, per_gpu_train_batch_size=32, save_only_best_checkpoint=True, save_steps=20, seed=42, server_ip='', server_port='', task_name='comp', test_split='test', tokenizer_name='', train_split='train', warmup_steps=0, weight_decay=0.0)
11/03/2023 11:21:36 - INFO - __main__ - loading from existing model roberta-large
11/03/2023 11:21:45 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_train_roberta-large_256_comp_
11/03/2023 11:21:45 - INFO - __main__ - ***** Running training *****
11/03/2023 11:21:45 - INFO - __main__ - Num examples = 1696
11/03/2023 11:21:45 - INFO - __main__ - Num Epochs = 10
11/03/2023 11:21:45 - INFO - __main__ - Instantaneous batch size per GPU = 32
11/03/2023 11:21:45 - INFO - __main__ - Total train batch size (w. parallel, distributed & accumulation) = 32
11/03/2023 11:21:45 - INFO - __main__ - Gradient Accumulation steps = 1
11/03/2023 11:21:45 - INFO - __main__ - Total optimization steps = 530
11/03/2023 11:22:11 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 11:22:11 - INFO - __main__ - ***** Running evaluation checkpoint-20 *****
11/03/2023 11:22:11 - INFO - __main__ - Num examples = 527
11/03/2023 11:22:11 - INFO - __main__ - Batch size = 8
11/03/2023 11:22:17 - INFO - __main__ - ***** Eval results checkpoint-20 *****
11/03/2023 11:22:17 - INFO - __main__ - acc = 0.6698292220113852
11/03/2023 11:22:17 - INFO - __main__ - correct = 353
11/03/2023 11:22:17 - INFO - __main__ - f1_0 = 0.8022727272727272
11/03/2023 11:22:17 - INFO - __main__ - f1_1 = 0
11/03/2023 11:22:17 - INFO - __main__ - f1_2 = 0
11/03/2023 11:22:17 - INFO - __main__ - macro_f1 = 0.2674242424242424
11/03/2023 11:22:17 - INFO - __main__ - num = 527
11/03/2023 11:22:17 - INFO - __main__ - prec_0 = 0.6698292220113852
11/03/2023 11:22:17 - INFO - __main__ - prec_1 = 0.0
11/03/2023 11:22:17 - INFO - __main__ - prec_2 = 0.0
11/03/2023 11:22:17 - INFO - __main__ - rec_0 = 1.0
11/03/2023 11:22:17 - INFO - __main__ - rec_1 = 0.0
11/03/2023 11:22:17 - INFO - __main__ - rec_2 = 0.0
11/03/2023 11:27:43 - INFO - root - Input args: Namespace(adam_epsilon=1e-08, cache_dir='', config_name='', data_dir='./data/oversample//comp', do_eval=True, do_lower_case=False, do_predict=True, do_predict_dev=False, do_train=True, eval_all_checkpoints=True, eval_test_set=True, evaluate_during_training=False, fp16=False, fp16_opt_level='O1', gradient_accumulation_steps=1, init_checkpoint=None, learning_rate=1e-05, local_rank=-1, log_file='train', logging_steps=50, max_grad_norm=1.0, max_seq_length=256, max_steps=-1, model_name_or_path='roberta-large', model_type='roberta', no_cuda=False, num_train_epochs=10.0, output_dir='./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//', overwrite_cache=False, overwrite_output_dir=True, per_gpu_eval_batch_size=8, per_gpu_train_batch_size=32, save_only_best_checkpoint=True, save_steps=20, seed=42, server_ip='', server_port='', task_name='comp', test_split='test', tokenizer_name='', train_split='train', warmup_steps=0, weight_decay=0.0)
11/03/2023 11:27:44 - WARNING - __main__ - Process rank: -1, device: cuda, n_gpu: 1, distributed training: False, 16-bits training: False
11/03/2023 11:27:44 - INFO - __main__ - config = RobertaConfig {
"architectures": [
"RobertaForMaskedLM"
],
"attention_probs_dropout_prob": 0.1,
"bos_token_id": 0,
"classifier_dropout": null,
"eos_token_id": 2,
"finetuning_task": "comp",
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 1024,
"id2label": {
"0": "LABEL_0",
"1": "LABEL_1",
"2": "LABEL_2"
},
"initializer_range": 0.02,
"intermediate_size": 4096,
"label2id": {
"LABEL_0": 0,
"LABEL_1": 1,
"LABEL_2": 2
},
"layer_norm_eps": 1e-05,
"max_position_embeddings": 514,
"model_type": "roberta",
"num_attention_heads": 16,
"num_hidden_layers": 24,
"pad_token_id": 1,
"position_embedding_type": "absolute",
"transformers_version": "4.34.1",
"type_vocab_size": 1,
"use_cache": true,
"vocab_size": 50265
}
11/03/2023 11:27:44 - INFO - __main__ - Training/evaluation parameters Namespace(adam_epsilon=1e-08, cache_dir='', config_name='', data_dir='./data/oversample//comp', device=device(type='cuda'), do_eval=True, do_lower_case=False, do_predict=True, do_predict_dev=False, do_train=True, eval_all_checkpoints=True, eval_test_set=True, evaluate_during_training=False, fp16=False, fp16_opt_level='O1', gradient_accumulation_steps=1, init_checkpoint=None, learning_rate=1e-05, local_rank=-1, log_file='train', logging_steps=50, max_grad_norm=1.0, max_seq_length=256, max_steps=-1, model_name_or_path='roberta-large', model_type='roberta', n_gpu=1, no_cuda=False, num_train_epochs=10.0, output_dir='./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//', output_mode='classification', overwrite_cache=False, overwrite_output_dir=True, per_gpu_eval_batch_size=8, per_gpu_train_batch_size=32, save_only_best_checkpoint=True, save_steps=20, seed=42, server_ip='', server_port='', task_name='comp', test_split='test', tokenizer_name='', train_split='train', warmup_steps=0, weight_decay=0.0)
11/03/2023 11:27:44 - INFO - __main__ - loading from existing model roberta-large
11/03/2023 11:27:56 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_train_roberta-large_256_comp_
11/03/2023 11:27:56 - INFO - __main__ - ***** Running training *****
11/03/2023 11:27:56 - INFO - __main__ - Num examples = 1696
11/03/2023 11:27:56 - INFO - __main__ - Num Epochs = 10
11/03/2023 11:27:56 - INFO - __main__ - Instantaneous batch size per GPU = 32
11/03/2023 11:27:56 - INFO - __main__ - Total train batch size (w. parallel, distributed & accumulation) = 32
11/03/2023 11:27:56 - INFO - __main__ - Gradient Accumulation steps = 1
11/03/2023 11:27:56 - INFO - __main__ - Total optimization steps = 530
11/03/2023 11:28:22 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 11:28:22 - INFO - __main__ - ***** Running evaluation checkpoint-20 *****
11/03/2023 11:28:22 - INFO - __main__ - Num examples = 527
11/03/2023 11:28:22 - INFO - __main__ - Batch size = 8
11/03/2023 11:28:29 - INFO - __main__ - ***** Eval results checkpoint-20 *****
11/03/2023 11:28:29 - INFO - __main__ - acc = 0.6698292220113852
11/03/2023 11:28:29 - INFO - __main__ - correct = 353
11/03/2023 11:28:29 - INFO - __main__ - f1_0 = 0.8022727272727272
11/03/2023 11:28:29 - INFO - __main__ - f1_1 = 0
11/03/2023 11:28:29 - INFO - __main__ - f1_2 = 0
11/03/2023 11:28:29 - INFO - __main__ - macro_f1 = 0.2674242424242424
11/03/2023 11:28:29 - INFO - __main__ - num = 527
11/03/2023 11:28:29 - INFO - __main__ - prec_0 = 0.6698292220113852
11/03/2023 11:28:29 - INFO - __main__ - prec_1 = 0.0
11/03/2023 11:28:29 - INFO - __main__ - prec_2 = 0.0
11/03/2023 11:28:29 - INFO - __main__ - rec_0 = 1.0
11/03/2023 11:28:29 - INFO - __main__ - rec_1 = 0.0
11/03/2023 11:28:29 - INFO - __main__ - rec_2 = 0.0
11/03/2023 11:28:29 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 11:28:29 - INFO - __main__ - ***** Running evaluation 20 *****
11/03/2023 11:28:29 - INFO - __main__ - Num examples = 326
11/03/2023 11:28:29 - INFO - __main__ - Batch size = 8
11/03/2023 11:28:32 - INFO - __main__ - ***** Eval results 20 *****
11/03/2023 11:28:32 - INFO - __main__ - acc = 0.6840490797546013
11/03/2023 11:28:32 - INFO - __main__ - correct = 223
11/03/2023 11:28:32 - INFO - __main__ - f1_0 = 0.8123861566484518
11/03/2023 11:28:32 - INFO - __main__ - f1_1 = 0
11/03/2023 11:28:32 - INFO - __main__ - f1_2 = 0
11/03/2023 11:28:32 - INFO - __main__ - macro_f1 = 0.27079538554948396
11/03/2023 11:28:32 - INFO - __main__ - num = 326
11/03/2023 11:28:32 - INFO - __main__ - prec_0 = 0.6840490797546013
11/03/2023 11:28:32 - INFO - __main__ - prec_1 = 0.0
11/03/2023 11:28:32 - INFO - __main__ - prec_2 = 0.0
11/03/2023 11:28:32 - INFO - __main__ - rec_0 = 1.0
11/03/2023 11:28:32 - INFO - __main__ - rec_1 = 0.0
11/03/2023 11:28:32 - INFO - __main__ - rec_2 = 0.0
11/03/2023 11:28:32 - INFO - __main__ - Dev accuracy = 0.6840490797546013
11/03/2023 11:28:32 - INFO - __main__ - result['acc']=0.6840490797546013 > best_score=0
11/03/2023 11:28:34 - INFO - __main__ - Saving model checkpoint to ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//checkpoint-best
11/03/2023 11:28:36 - INFO - __main__ - Saving optimizer and scheduler states to ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//checkpoint-best
11/03/2023 11:28:57 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 11:28:57 - INFO - __main__ - ***** Running evaluation checkpoint-40 *****
11/03/2023 11:28:57 - INFO - __main__ - Num examples = 527
11/03/2023 11:28:57 - INFO - __main__ - Batch size = 8
11/03/2023 11:29:03 - INFO - __main__ - ***** Eval results checkpoint-40 *****
11/03/2023 11:29:03 - INFO - __main__ - acc = 0.6698292220113852
11/03/2023 11:29:03 - INFO - __main__ - correct = 353
11/03/2023 11:29:03 - INFO - __main__ - f1_0 = 0.8022727272727272
11/03/2023 11:29:03 - INFO - __main__ - f1_1 = 0
11/03/2023 11:29:03 - INFO - __main__ - f1_2 = 0
11/03/2023 11:29:03 - INFO - __main__ - macro_f1 = 0.2674242424242424
11/03/2023 11:29:03 - INFO - __main__ - num = 527
11/03/2023 11:29:03 - INFO - __main__ - prec_0 = 0.6698292220113852
11/03/2023 11:29:03 - INFO - __main__ - prec_1 = 0.0
11/03/2023 11:29:03 - INFO - __main__ - prec_2 = 0.0
11/03/2023 11:29:03 - INFO - __main__ - rec_0 = 1.0
11/03/2023 11:29:03 - INFO - __main__ - rec_1 = 0.0
11/03/2023 11:29:03 - INFO - __main__ - rec_2 = 0.0
11/03/2023 11:29:03 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 11:29:03 - INFO - __main__ - ***** Running evaluation 40 *****
11/03/2023 11:29:03 - INFO - __main__ - Num examples = 326
11/03/2023 11:29:03 - INFO - __main__ - Batch size = 8
11/03/2023 11:29:07 - INFO - __main__ - ***** Eval results 40 *****
11/03/2023 11:29:07 - INFO - __main__ - acc = 0.6840490797546013
11/03/2023 11:29:07 - INFO - __main__ - correct = 223
11/03/2023 11:29:07 - INFO - __main__ - f1_0 = 0.8123861566484518
11/03/2023 11:29:07 - INFO - __main__ - f1_1 = 0
11/03/2023 11:29:07 - INFO - __main__ - f1_2 = 0
11/03/2023 11:29:07 - INFO - __main__ - macro_f1 = 0.27079538554948396
11/03/2023 11:29:07 - INFO - __main__ - num = 326
11/03/2023 11:29:07 - INFO - __main__ - prec_0 = 0.6840490797546013
11/03/2023 11:29:07 - INFO - __main__ - prec_1 = 0.0
11/03/2023 11:29:07 - INFO - __main__ - prec_2 = 0.0
11/03/2023 11:29:07 - INFO - __main__ - rec_0 = 1.0
11/03/2023 11:29:07 - INFO - __main__ - rec_1 = 0.0
11/03/2023 11:29:07 - INFO - __main__ - rec_2 = 0.0
11/03/2023 11:29:07 - INFO - __main__ - Dev accuracy = 0.6840490797546013
11/03/2023 11:29:27 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 11:29:27 - INFO - __main__ - ***** Running evaluation checkpoint-60 *****
11/03/2023 11:29:27 - INFO - __main__ - Num examples = 527
11/03/2023 11:29:27 - INFO - __main__ - Batch size = 8
11/03/2023 11:29:34 - INFO - __main__ - ***** Eval results checkpoint-60 *****
11/03/2023 11:29:34 - INFO - __main__ - acc = 0.6698292220113852
11/03/2023 11:29:34 - INFO - __main__ - correct = 353
11/03/2023 11:29:34 - INFO - __main__ - f1_0 = 0.8022727272727272
11/03/2023 11:29:34 - INFO - __main__ - f1_1 = 0
11/03/2023 11:29:34 - INFO - __main__ - f1_2 = 0
11/03/2023 11:29:34 - INFO - __main__ - macro_f1 = 0.2674242424242424
11/03/2023 11:29:34 - INFO - __main__ - num = 527
11/03/2023 11:29:34 - INFO - __main__ - prec_0 = 0.6698292220113852
11/03/2023 11:29:34 - INFO - __main__ - prec_1 = 0.0
11/03/2023 11:29:34 - INFO - __main__ - prec_2 = 0.0
11/03/2023 11:29:34 - INFO - __main__ - rec_0 = 1.0
11/03/2023 11:29:34 - INFO - __main__ - rec_1 = 0.0
11/03/2023 11:29:34 - INFO - __main__ - rec_2 = 0.0
11/03/2023 11:29:34 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 11:29:34 - INFO - __main__ - ***** Running evaluation 60 *****
11/03/2023 11:29:34 - INFO - __main__ - Num examples = 326
11/03/2023 11:29:34 - INFO - __main__ - Batch size = 8
11/03/2023 11:29:37 - INFO - __main__ - ***** Eval results 60 *****
11/03/2023 11:29:37 - INFO - __main__ - acc = 0.6840490797546013
11/03/2023 11:29:37 - INFO - __main__ - correct = 223
11/03/2023 11:29:37 - INFO - __main__ - f1_0 = 0.8123861566484518
11/03/2023 11:29:37 - INFO - __main__ - f1_1 = 0
11/03/2023 11:29:37 - INFO - __main__ - f1_2 = 0
11/03/2023 11:29:37 - INFO - __main__ - macro_f1 = 0.27079538554948396
11/03/2023 11:29:37 - INFO - __main__ - num = 326
11/03/2023 11:29:37 - INFO - __main__ - prec_0 = 0.6840490797546013
11/03/2023 11:29:37 - INFO - __main__ - prec_1 = 0.0
11/03/2023 11:29:37 - INFO - __main__ - prec_2 = 0.0
11/03/2023 11:29:37 - INFO - __main__ - rec_0 = 1.0
11/03/2023 11:29:37 - INFO - __main__ - rec_1 = 0.0
11/03/2023 11:29:37 - INFO - __main__ - rec_2 = 0.0
11/03/2023 11:29:37 - INFO - __main__ - Dev accuracy = 0.6840490797546013
11/03/2023 11:29:58 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 11:29:58 - INFO - __main__ - ***** Running evaluation checkpoint-80 *****
11/03/2023 11:29:58 - INFO - __main__ - Num examples = 527
11/03/2023 11:29:58 - INFO - __main__ - Batch size = 8
11/03/2023 11:30:04 - INFO - __main__ - ***** Eval results checkpoint-80 *****
11/03/2023 11:30:04 - INFO - __main__ - acc = 0.6660341555977229
11/03/2023 11:30:04 - INFO - __main__ - correct = 351
11/03/2023 11:30:04 - INFO - __main__ - f1_0 = 0.8032036613272312
11/03/2023 11:30:04 - INFO - __main__ - f1_1 = 0
11/03/2023 11:30:04 - INFO - __main__ - f1_2 = 0
11/03/2023 11:30:04 - INFO - __main__ - macro_f1 = 0.26773455377574373
11/03/2023 11:30:04 - INFO - __main__ - num = 527
11/03/2023 11:30:04 - INFO - __main__ - prec_0 = 0.6737044145873321
11/03/2023 11:30:04 - INFO - __main__ - prec_1 = 0.0
11/03/2023 11:30:04 - INFO - __main__ - prec_2 = 0.0
11/03/2023 11:30:04 - INFO - __main__ - rec_0 = 0.9943342776203966
11/03/2023 11:30:04 - INFO - __main__ - rec_1 = 0.0
11/03/2023 11:30:04 - INFO - __main__ - rec_2 = 0.0
11/03/2023 11:30:04 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 11:30:04 - INFO - __main__ - ***** Running evaluation 80 *****
11/03/2023 11:30:04 - INFO - __main__ - Num examples = 326
11/03/2023 11:30:04 - INFO - __main__ - Batch size = 8
11/03/2023 11:30:08 - INFO - __main__ - ***** Eval results 80 *****
11/03/2023 11:30:08 - INFO - __main__ - acc = 0.6840490797546013
11/03/2023 11:30:08 - INFO - __main__ - correct = 223
11/03/2023 11:30:08 - INFO - __main__ - f1_0 = 0.8123861566484518
11/03/2023 11:30:08 - INFO - __main__ - f1_1 = 0
11/03/2023 11:30:08 - INFO - __main__ - f1_2 = 0
11/03/2023 11:30:08 - INFO - __main__ - macro_f1 = 0.27079538554948396
11/03/2023 11:30:08 - INFO - __main__ - num = 326
11/03/2023 11:30:08 - INFO - __main__ - prec_0 = 0.6840490797546013
11/03/2023 11:30:08 - INFO - __main__ - prec_1 = 0.0
11/03/2023 11:30:08 - INFO - __main__ - prec_2 = 0.0
11/03/2023 11:30:08 - INFO - __main__ - rec_0 = 1.0
11/03/2023 11:30:08 - INFO - __main__ - rec_1 = 0.0
11/03/2023 11:30:08 - INFO - __main__ - rec_2 = 0.0
11/03/2023 11:30:08 - INFO - __main__ - Dev accuracy = 0.6840490797546013
11/03/2023 11:30:29 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 11:30:29 - INFO - __main__ - ***** Running evaluation checkpoint-100 *****
11/03/2023 11:30:29 - INFO - __main__ - Num examples = 527
11/03/2023 11:30:29 - INFO - __main__ - Batch size = 8
11/03/2023 11:30:35 - INFO - __main__ - ***** Eval results checkpoint-100 *****
11/03/2023 11:30:35 - INFO - __main__ - acc = 0.6736242884250474
11/03/2023 11:30:35 - INFO - __main__ - correct = 355
11/03/2023 11:30:35 - INFO - __main__ - f1_0 = 0.819047619047619
11/03/2023 11:30:35 - INFO - __main__ - f1_1 = 0.08823529411764705
11/03/2023 11:30:35 - INFO - __main__ - f1_2 = 0.1095890410958904
11/03/2023 11:30:35 - INFO - __main__ - macro_f1 = 0.33895731808705215
11/03/2023 11:30:35 - INFO - __main__ - num = 527
11/03/2023 11:30:35 - INFO - __main__ - prec_0 = 0.7063655030800822
11/03/2023 11:30:35 - INFO - __main__ - prec_1 = 0.0967741935483871
11/03/2023 11:30:35 - INFO - __main__ - prec_2 = 0.8888888888888888
11/03/2023 11:30:35 - INFO - __main__ - rec_0 = 0.9745042492917847
11/03/2023 11:30:35 - INFO - __main__ - rec_1 = 0.08108108108108109
11/03/2023 11:30:35 - INFO - __main__ - rec_2 = 0.058394160583941604
11/03/2023 11:30:35 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 11:30:35 - INFO - __main__ - ***** Running evaluation 100 *****
11/03/2023 11:30:35 - INFO - __main__ - Num examples = 326
11/03/2023 11:30:35 - INFO - __main__ - Batch size = 8
11/03/2023 11:30:39 - INFO - __main__ - ***** Eval results 100 *****
11/03/2023 11:30:39 - INFO - __main__ - acc = 0.6901840490797546
11/03/2023 11:30:39 - INFO - __main__ - correct = 225
11/03/2023 11:30:39 - INFO - __main__ - f1_0 = 0.8241965973534972
11/03/2023 11:30:39 - INFO - __main__ - f1_1 = 0.13953488372093023
11/03/2023 11:30:39 - INFO - __main__ - f1_2 = 0.1
11/03/2023 11:30:39 - INFO - __main__ - macro_f1 = 0.35457716035814246
11/03/2023 11:30:39 - INFO - __main__ - num = 326
11/03/2023 11:30:39 - INFO - __main__ - prec_0 = 0.7124183006535948
11/03/2023 11:30:39 - INFO - __main__ - prec_1 = 0.23076923076923078
11/03/2023 11:30:39 - INFO - __main__ - prec_2 = 0.5714285714285714
11/03/2023 11:30:39 - INFO - __main__ - rec_0 = 0.9775784753363229
11/03/2023 11:30:39 - INFO - __main__ - rec_1 = 0.1
11/03/2023 11:30:39 - INFO - __main__ - rec_2 = 0.0547945205479452
11/03/2023 11:30:39 - INFO - __main__ - Dev accuracy = 0.6901840490797546
11/03/2023 11:30:39 - INFO - __main__ - result['acc']=0.6901840490797546 > best_score=0.6840490797546013
11/03/2023 11:30:41 - INFO - __main__ - Saving model checkpoint to ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//checkpoint-best
11/03/2023 11:30:43 - INFO - __main__ - Saving optimizer and scheduler states to ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//checkpoint-best
11/03/2023 11:31:04 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 11:31:04 - INFO - __main__ - ***** Running evaluation checkpoint-120 *****
11/03/2023 11:31:04 - INFO - __main__ - Num examples = 527
11/03/2023 11:31:04 - INFO - __main__ - Batch size = 8
11/03/2023 11:31:11 - INFO - __main__ - ***** Eval results checkpoint-120 *****
11/03/2023 11:31:11 - INFO - __main__ - acc = 0.7229601518026565
11/03/2023 11:31:11 - INFO - __main__ - correct = 381
11/03/2023 11:31:11 - INFO - __main__ - f1_0 = 0.8322324966974901
11/03/2023 11:31:11 - INFO - __main__ - f1_1 = 0.1090909090909091
11/03/2023 11:31:11 - INFO - __main__ - f1_2 = 0.5206611570247933
11/03/2023 11:31:11 - INFO - __main__ - macro_f1 = 0.48732818760439756
11/03/2023 11:31:11 - INFO - __main__ - num = 527
11/03/2023 11:31:11 - INFO - __main__ - prec_0 = 0.7797029702970297
11/03/2023 11:31:11 - INFO - __main__ - prec_1 = 0.16666666666666666
11/03/2023 11:31:11 - INFO - __main__ - prec_2 = 0.6
11/03/2023 11:31:11 - INFO - __main__ - rec_0 = 0.8923512747875354
11/03/2023 11:31:11 - INFO - __main__ - rec_1 = 0.08108108108108109
11/03/2023 11:31:11 - INFO - __main__ - rec_2 = 0.45985401459854014
11/03/2023 11:31:11 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 11:31:11 - INFO - __main__ - ***** Running evaluation 120 *****
11/03/2023 11:31:11 - INFO - __main__ - Num examples = 326
11/03/2023 11:31:11 - INFO - __main__ - Batch size = 8
11/03/2023 11:31:14 - INFO - __main__ - ***** Eval results 120 *****
11/03/2023 11:31:14 - INFO - __main__ - acc = 0.7239263803680982
11/03/2023 11:31:14 - INFO - __main__ - correct = 236
11/03/2023 11:31:14 - INFO - __main__ - f1_0 = 0.8395061728395061
11/03/2023 11:31:14 - INFO - __main__ - f1_1 = 0.15384615384615383
11/03/2023 11:31:14 - INFO - __main__ - f1_2 = 0.4566929133858268
11/03/2023 11:31:14 - INFO - __main__ - macro_f1 = 0.4833484133571622
11/03/2023 11:31:14 - INFO - __main__ - num = 326
11/03/2023 11:31:14 - INFO - __main__ - prec_0 = 0.7756653992395437
11/03/2023 11:31:14 - INFO - __main__ - prec_1 = 0.3333333333333333
11/03/2023 11:31:14 - INFO - __main__ - prec_2 = 0.5370370370370371
11/03/2023 11:31:14 - INFO - __main__ - rec_0 = 0.9147982062780269
11/03/2023 11:31:14 - INFO - __main__ - rec_1 = 0.1
11/03/2023 11:31:14 - INFO - __main__ - rec_2 = 0.3972602739726027
11/03/2023 11:31:14 - INFO - __main__ - Dev accuracy = 0.7239263803680982
11/03/2023 11:31:14 - INFO - __main__ - result['acc']=0.7239263803680982 > best_score=0.6901840490797546
11/03/2023 11:31:16 - INFO - __main__ - Saving model checkpoint to ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//checkpoint-best
11/03/2023 11:31:19 - INFO - __main__ - Saving optimizer and scheduler states to ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//checkpoint-best
11/03/2023 11:31:40 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 11:31:40 - INFO - __main__ - ***** Running evaluation checkpoint-140 *****
11/03/2023 11:31:40 - INFO - __main__ - Num examples = 527
11/03/2023 11:31:40 - INFO - __main__ - Batch size = 8
11/03/2023 11:31:46 - INFO - __main__ - ***** Eval results checkpoint-140 *****
11/03/2023 11:31:46 - INFO - __main__ - acc = 0.7115749525616698
11/03/2023 11:31:46 - INFO - __main__ - correct = 375
11/03/2023 11:31:46 - INFO - __main__ - f1_0 = 0.8307291666666667
11/03/2023 11:31:46 - INFO - __main__ - f1_1 = 0.16666666666666669
11/03/2023 11:31:46 - INFO - __main__ - f1_2 = 0.4672897196261682
11/03/2023 11:31:46 - INFO - __main__ - macro_f1 = 0.48822851765316727
11/03/2023 11:31:46 - INFO - __main__ - num = 527
11/03/2023 11:31:46 - INFO - __main__ - prec_0 = 0.7686746987951807
11/03/2023 11:31:46 - INFO - __main__ - prec_1 = 0.17142857142857143
11/03/2023 11:31:46 - INFO - __main__ - prec_2 = 0.6493506493506493
11/03/2023 11:31:46 - INFO - __main__ - rec_0 = 0.9036827195467422
11/03/2023 11:31:46 - INFO - __main__ - rec_1 = 0.16216216216216217
11/03/2023 11:31:46 - INFO - __main__ - rec_2 = 0.36496350364963503
11/03/2023 11:31:46 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 11:31:46 - INFO - __main__ - ***** Running evaluation 140 *****
11/03/2023 11:31:46 - INFO - __main__ - Num examples = 326
11/03/2023 11:31:46 - INFO - __main__ - Batch size = 8
11/03/2023 11:31:50 - INFO - __main__ - ***** Eval results 140 *****
11/03/2023 11:31:50 - INFO - __main__ - acc = 0.7208588957055214
11/03/2023 11:31:50 - INFO - __main__ - correct = 235
11/03/2023 11:31:50 - INFO - __main__ - f1_0 = 0.8477366255144033
11/03/2023 11:31:50 - INFO - __main__ - f1_1 = 0.1739130434782609
11/03/2023 11:31:50 - INFO - __main__ - f1_2 = 0.41666666666666663
11/03/2023 11:31:50 - INFO - __main__ - macro_f1 = 0.4794387785531103
11/03/2023 11:31:50 - INFO - __main__ - num = 326
11/03/2023 11:31:50 - INFO - __main__ - prec_0 = 0.7832699619771863
11/03/2023 11:31:50 - INFO - __main__ - prec_1 = 0.25
11/03/2023 11:31:50 - INFO - __main__ - prec_2 = 0.5319148936170213
11/03/2023 11:31:50 - INFO - __main__ - rec_0 = 0.9237668161434978
11/03/2023 11:31:50 - INFO - __main__ - rec_1 = 0.13333333333333333
11/03/2023 11:31:50 - INFO - __main__ - rec_2 = 0.3424657534246575
11/03/2023 11:31:50 - INFO - __main__ - Dev accuracy = 0.7208588957055214
11/03/2023 11:32:11 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 11:32:11 - INFO - __main__ - ***** Running evaluation checkpoint-160 *****
11/03/2023 11:32:11 - INFO - __main__ - Num examples = 527
11/03/2023 11:32:11 - INFO - __main__ - Batch size = 8
11/03/2023 11:32:17 - INFO - __main__ - ***** Eval results checkpoint-160 *****
11/03/2023 11:32:17 - INFO - __main__ - acc = 0.6793168880455408
11/03/2023 11:32:17 - INFO - __main__ - correct = 358
11/03/2023 11:32:17 - INFO - __main__ - f1_0 = 0.8134110787172012
11/03/2023 11:32:17 - INFO - __main__ - f1_1 = 0.2268041237113402
11/03/2023 11:32:17 - INFO - __main__ - f1_2 = 0.5018450184501846
11/03/2023 11:32:17 - INFO - __main__ - macro_f1 = 0.514020073626242
11/03/2023 11:32:17 - INFO - __main__ - num = 527
11/03/2023 11:32:17 - INFO - __main__ - prec_0 = 0.8378378378378378
11/03/2023 11:32:17 - INFO - __main__ - prec_1 = 0.18333333333333332
11/03/2023 11:32:17 - INFO - __main__ - prec_2 = 0.5074626865671642
11/03/2023 11:32:17 - INFO - __main__ - rec_0 = 0.7903682719546742
11/03/2023 11:32:17 - INFO - __main__ - rec_1 = 0.2972972972972973
11/03/2023 11:32:17 - INFO - __main__ - rec_2 = 0.49635036496350365
11/03/2023 11:32:17 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 11:32:17 - INFO - __main__ - ***** Running evaluation 160 *****
11/03/2023 11:32:17 - INFO - __main__ - Num examples = 326
11/03/2023 11:32:17 - INFO - __main__ - Batch size = 8
11/03/2023 11:32:21 - INFO - __main__ - ***** Eval results 160 *****
11/03/2023 11:32:21 - INFO - __main__ - acc = 0.6840490797546013
11/03/2023 11:32:21 - INFO - __main__ - correct = 223
11/03/2023 11:32:21 - INFO - __main__ - f1_0 = 0.8277404921700223
11/03/2023 11:32:21 - INFO - __main__ - f1_1 = 0.18750000000000003
11/03/2023 11:32:21 - INFO - __main__ - f1_2 = 0.45390070921985815
11/03/2023 11:32:21 - INFO - __main__ - macro_f1 = 0.48971373379662686
11/03/2023 11:32:21 - INFO - __main__ - num = 326
11/03/2023 11:32:21 - INFO - __main__ - prec_0 = 0.8258928571428571
11/03/2023 11:32:21 - INFO - __main__ - prec_1 = 0.17647058823529413
11/03/2023 11:32:21 - INFO - __main__ - prec_2 = 0.47058823529411764
11/03/2023 11:32:21 - INFO - __main__ - rec_0 = 0.8295964125560538
11/03/2023 11:32:21 - INFO - __main__ - rec_1 = 0.2
11/03/2023 11:32:21 - INFO - __main__ - rec_2 = 0.4383561643835616
11/03/2023 11:32:21 - INFO - __main__ - Dev accuracy = 0.6840490797546013
11/03/2023 11:32:42 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 11:32:42 - INFO - __main__ - ***** Running evaluation checkpoint-180 *****
11/03/2023 11:32:42 - INFO - __main__ - Num examples = 527
11/03/2023 11:32:42 - INFO - __main__ - Batch size = 8
11/03/2023 11:32:48 - INFO - __main__ - ***** Eval results checkpoint-180 *****
11/03/2023 11:32:48 - INFO - __main__ - acc = 0.7020872865275142
11/03/2023 11:32:48 - INFO - __main__ - correct = 370
11/03/2023 11:32:48 - INFO - __main__ - f1_0 = 0.826923076923077
11/03/2023 11:32:48 - INFO - __main__ - f1_1 = 0.07547169811320754
11/03/2023 11:32:48 - INFO - __main__ - f1_2 = 0.28402366863905326
11/03/2023 11:32:48 - INFO - __main__ - macro_f1 = 0.3954728145584459
11/03/2023 11:32:48 - INFO - __main__ - num = 527
11/03/2023 11:32:48 - INFO - __main__ - prec_0 = 0.7181628392484343
11/03/2023 11:32:48 - INFO - __main__ - prec_1 = 0.125
11/03/2023 11:32:48 - INFO - __main__ - prec_2 = 0.75
11/03/2023 11:32:48 - INFO - __main__ - rec_0 = 0.9745042492917847
11/03/2023 11:32:48 - INFO - __main__ - rec_1 = 0.05405405405405406
11/03/2023 11:32:48 - INFO - __main__ - rec_2 = 0.17518248175182483
11/03/2023 11:32:48 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 11:32:48 - INFO - __main__ - ***** Running evaluation 180 *****
11/03/2023 11:32:48 - INFO - __main__ - Num examples = 326
11/03/2023 11:32:48 - INFO - __main__ - Batch size = 8
11/03/2023 11:32:52 - INFO - __main__ - ***** Eval results 180 *****
11/03/2023 11:32:52 - INFO - __main__ - acc = 0.7147239263803681
11/03/2023 11:32:52 - INFO - __main__ - correct = 233
11/03/2023 11:32:52 - INFO - __main__ - f1_0 = 0.838206627680312
11/03/2023 11:32:52 - INFO - __main__ - f1_1 = 0.18181818181818182
11/03/2023 11:32:52 - INFO - __main__ - f1_2 = 0.29473684210526313
11/03/2023 11:32:52 - INFO - __main__ - macro_f1 = 0.438253883867919
11/03/2023 11:32:52 - INFO - __main__ - num = 326
11/03/2023 11:32:52 - INFO - __main__ - prec_0 = 0.7413793103448276
11/03/2023 11:32:52 - INFO - __main__ - prec_1 = 0.2857142857142857
11/03/2023 11:32:52 - INFO - __main__ - prec_2 = 0.6363636363636364
11/03/2023 11:32:52 - INFO - __main__ - rec_0 = 0.9641255605381166
11/03/2023 11:32:52 - INFO - __main__ - rec_1 = 0.13333333333333333
11/03/2023 11:32:52 - INFO - __main__ - rec_2 = 0.1917808219178082
11/03/2023 11:32:52 - INFO - __main__ - Dev accuracy = 0.7147239263803681
11/03/2023 11:33:13 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 11:33:13 - INFO - __main__ - ***** Running evaluation checkpoint-200 *****
11/03/2023 11:33:13 - INFO - __main__ - Num examples = 527
11/03/2023 11:33:13 - INFO - __main__ - Batch size = 8
11/03/2023 11:33:19 - INFO - __main__ - ***** Eval results checkpoint-200 *****
11/03/2023 11:33:19 - INFO - __main__ - acc = 0.7115749525616698
11/03/2023 11:33:19 - INFO - __main__ - correct = 375
11/03/2023 11:33:19 - INFO - __main__ - f1_0 = 0.8326745718050066
11/03/2023 11:33:19 - INFO - __main__ - f1_1 = 0.15873015873015872
11/03/2023 11:33:19 - INFO - __main__ - f1_2 = 0.4655172413793104
11/03/2023 11:33:19 - INFO - __main__ - macro_f1 = 0.48564065730482525
11/03/2023 11:33:19 - INFO - __main__ - num = 527
11/03/2023 11:33:19 - INFO - __main__ - prec_0 = 0.7783251231527094
11/03/2023 11:33:19 - INFO - __main__ - prec_1 = 0.19230769230769232
11/03/2023 11:33:19 - INFO - __main__ - prec_2 = 0.5684210526315789
11/03/2023 11:33:19 - INFO - __main__ - rec_0 = 0.8951841359773371
11/03/2023 11:33:19 - INFO - __main__ - rec_1 = 0.13513513513513514
11/03/2023 11:33:19 - INFO - __main__ - rec_2 = 0.39416058394160586
11/03/2023 11:33:19 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 11:33:19 - INFO - __main__ - ***** Running evaluation 200 *****
11/03/2023 11:33:19 - INFO - __main__ - Num examples = 326
11/03/2023 11:33:19 - INFO - __main__ - Batch size = 8
11/03/2023 11:33:23 - INFO - __main__ - ***** Eval results 200 *****
11/03/2023 11:33:23 - INFO - __main__ - acc = 0.7208588957055214
11/03/2023 11:33:23 - INFO - __main__ - correct = 235
11/03/2023 11:33:23 - INFO - __main__ - f1_0 = 0.839662447257384
11/03/2023 11:33:23 - INFO - __main__ - f1_1 = 0.19047619047619044
11/03/2023 11:33:23 - INFO - __main__ - f1_2 = 0.47058823529411764
11/03/2023 11:33:23 - INFO - __main__ - macro_f1 = 0.5002422910092307
11/03/2023 11:33:23 - INFO - __main__ - num = 326
11/03/2023 11:33:23 - INFO - __main__ - prec_0 = 0.7928286852589641
11/03/2023 11:33:23 - INFO - __main__ - prec_1 = 0.3333333333333333
11/03/2023 11:33:23 - INFO - __main__ - prec_2 = 0.5079365079365079
11/03/2023 11:33:23 - INFO - __main__ - rec_0 = 0.8923766816143498
11/03/2023 11:33:23 - INFO - __main__ - rec_1 = 0.13333333333333333
11/03/2023 11:33:23 - INFO - __main__ - rec_2 = 0.4383561643835616
11/03/2023 11:33:23 - INFO - __main__ - Dev accuracy = 0.7208588957055214
11/03/2023 11:33:44 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 11:33:44 - INFO - __main__ - ***** Running evaluation checkpoint-220 *****
11/03/2023 11:33:44 - INFO - __main__ - Num examples = 527
11/03/2023 11:33:44 - INFO - __main__ - Batch size = 8
11/03/2023 11:33:50 - INFO - __main__ - ***** Eval results checkpoint-220 *****
11/03/2023 11:33:50 - INFO - __main__ - acc = 0.713472485768501
11/03/2023 11:33:50 - INFO - __main__ - correct = 376
11/03/2023 11:33:50 - INFO - __main__ - f1_0 = 0.8284625158831004
11/03/2023 11:33:50 - INFO - __main__ - f1_1 = 0.15151515151515152
11/03/2023 11:33:50 - INFO - __main__ - f1_2 = 0.44776119402985076
11/03/2023 11:33:50 - INFO - __main__ - macro_f1 = 0.47591295380936754
11/03/2023 11:33:50 - INFO - __main__ - num = 527
11/03/2023 11:33:50 - INFO - __main__ - prec_0 = 0.7511520737327189
11/03/2023 11:33:50 - INFO - __main__ - prec_1 = 0.1724137931034483
11/03/2023 11:33:50 - INFO - __main__ - prec_2 = 0.703125
11/03/2023 11:33:50 - INFO - __main__ - rec_0 = 0.9235127478753541
11/03/2023 11:33:50 - INFO - __main__ - rec_1 = 0.13513513513513514
11/03/2023 11:33:50 - INFO - __main__ - rec_2 = 0.3284671532846715
11/03/2023 11:33:50 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 11:33:50 - INFO - __main__ - ***** Running evaluation 220 *****
11/03/2023 11:33:50 - INFO - __main__ - Num examples = 326
11/03/2023 11:33:50 - INFO - __main__ - Batch size = 8
11/03/2023 11:33:54 - INFO - __main__ - ***** Eval results 220 *****
11/03/2023 11:33:54 - INFO - __main__ - acc = 0.7147239263803681
11/03/2023 11:33:54 - INFO - __main__ - correct = 233
11/03/2023 11:33:54 - INFO - __main__ - f1_0 = 0.8427672955974843
11/03/2023 11:33:54 - INFO - __main__ - f1_1 = 0.125
11/03/2023 11:33:54 - INFO - __main__ - f1_2 = 0.4566929133858268
11/03/2023 11:33:54 - INFO - __main__ - macro_f1 = 0.47482006966110374
11/03/2023 11:33:54 - INFO - __main__ - num = 326
11/03/2023 11:33:54 - INFO - __main__ - prec_0 = 0.7913385826771654
11/03/2023 11:33:54 - INFO - __main__ - prec_1 = 0.16666666666666666
11/03/2023 11:33:54 - INFO - __main__ - prec_2 = 0.5370370370370371
11/03/2023 11:33:54 - INFO - __main__ - rec_0 = 0.9013452914798207
11/03/2023 11:33:54 - INFO - __main__ - rec_1 = 0.1
11/03/2023 11:33:54 - INFO - __main__ - rec_2 = 0.3972602739726027
11/03/2023 11:33:54 - INFO - __main__ - Dev accuracy = 0.7147239263803681
11/03/2023 11:34:15 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 11:34:15 - INFO - __main__ - ***** Running evaluation checkpoint-240 *****
11/03/2023 11:34:15 - INFO - __main__ - Num examples = 527
11/03/2023 11:34:15 - INFO - __main__ - Batch size = 8
11/03/2023 11:34:22 - INFO - __main__ - ***** Eval results checkpoint-240 *****
11/03/2023 11:34:22 - INFO - __main__ - acc = 0.6963946869070209
11/03/2023 11:34:22 - INFO - __main__ - correct = 367
11/03/2023 11:34:22 - INFO - __main__ - f1_0 = 0.8399487836107554
11/03/2023 11:34:22 - INFO - __main__ - f1_1 = 0.15730337078651685
11/03/2023 11:34:22 - INFO - __main__ - f1_2 = 0.34782608695652173
11/03/2023 11:34:22 - INFO - __main__ - macro_f1 = 0.44835941378459804
11/03/2023 11:34:22 - INFO - __main__ - num = 527
11/03/2023 11:34:22 - INFO - __main__ - prec_0 = 0.7663551401869159
11/03/2023 11:34:22 - INFO - __main__ - prec_1 = 0.1346153846153846
11/03/2023 11:34:22 - INFO - __main__ - prec_2 = 0.6808510638297872
11/03/2023 11:34:22 - INFO - __main__ - rec_0 = 0.9291784702549575
11/03/2023 11:34:22 - INFO - __main__ - rec_1 = 0.1891891891891892
11/03/2023 11:34:22 - INFO - __main__ - rec_2 = 0.23357664233576642
11/03/2023 11:34:22 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 11:34:22 - INFO - __main__ - ***** Running evaluation 240 *****
11/03/2023 11:34:22 - INFO - __main__ - Num examples = 326
11/03/2023 11:34:22 - INFO - __main__ - Batch size = 8
11/03/2023 11:34:25 - INFO - __main__ - ***** Eval results 240 *****
11/03/2023 11:34:25 - INFO - __main__ - acc = 0.7116564417177914
11/03/2023 11:34:25 - INFO - __main__ - correct = 232
11/03/2023 11:34:25 - INFO - __main__ - f1_0 = 0.8440748440748441
11/03/2023 11:34:25 - INFO - __main__ - f1_1 = 0.2580645161290323
11/03/2023 11:34:25 - INFO - __main__ - f1_2 = 0.3853211009174312
11/03/2023 11:34:25 - INFO - __main__ - macro_f1 = 0.4958201537071026
11/03/2023 11:34:25 - INFO - __main__ - num = 326
11/03/2023 11:34:25 - INFO - __main__ - prec_0 = 0.7868217054263565
11/03/2023 11:34:25 - INFO - __main__ - prec_1 = 0.25
11/03/2023 11:34:25 - INFO - __main__ - prec_2 = 0.5833333333333334
11/03/2023 11:34:25 - INFO - __main__ - rec_0 = 0.9103139013452914
11/03/2023 11:34:25 - INFO - __main__ - rec_1 = 0.26666666666666666
11/03/2023 11:34:25 - INFO - __main__ - rec_2 = 0.2876712328767123
11/03/2023 11:34:25 - INFO - __main__ - Dev accuracy = 0.7116564417177914
11/03/2023 11:34:47 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 11:34:47 - INFO - __main__ - ***** Running evaluation checkpoint-260 *****
11/03/2023 11:34:47 - INFO - __main__ - Num examples = 527
11/03/2023 11:34:47 - INFO - __main__ - Batch size = 8
11/03/2023 11:34:53 - INFO - __main__ - ***** Eval results checkpoint-260 *****
11/03/2023 11:34:53 - INFO - __main__ - acc = 0.7058823529411765
11/03/2023 11:34:53 - INFO - __main__ - correct = 372
11/03/2023 11:34:53 - INFO - __main__ - f1_0 = 0.8345864661654135
11/03/2023 11:34:53 - INFO - __main__ - f1_1 = 0.16438356164383564
11/03/2023 11:34:53 - INFO - __main__ - f1_2 = 0.36065573770491804
11/03/2023 11:34:53 - INFO - __main__ - macro_f1 = 0.4532085885047224
11/03/2023 11:34:53 - INFO - __main__ - num = 527
11/03/2023 11:34:53 - INFO - __main__ - prec_0 = 0.748314606741573
11/03/2023 11:34:53 - INFO - __main__ - prec_1 = 0.16666666666666666
11/03/2023 11:34:53 - INFO - __main__ - prec_2 = 0.717391304347826
11/03/2023 11:34:53 - INFO - __main__ - rec_0 = 0.943342776203966
11/03/2023 11:34:53 - INFO - __main__ - rec_1 = 0.16216216216216217
11/03/2023 11:34:53 - INFO - __main__ - rec_2 = 0.24087591240875914
11/03/2023 11:34:53 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 11:34:53 - INFO - __main__ - ***** Running evaluation 260 *****
11/03/2023 11:34:53 - INFO - __main__ - Num examples = 326
11/03/2023 11:34:53 - INFO - __main__ - Batch size = 8
11/03/2023 11:34:57 - INFO - __main__ - ***** Eval results 260 *****
11/03/2023 11:34:57 - INFO - __main__ - acc = 0.7331288343558282
11/03/2023 11:34:57 - INFO - __main__ - correct = 239
11/03/2023 11:34:57 - INFO - __main__ - f1_0 = 0.8530612244897959
11/03/2023 11:34:57 - INFO - __main__ - f1_1 = 0.30769230769230765
11/03/2023 11:34:57 - INFO - __main__ - f1_2 = 0.4
11/03/2023 11:34:57 - INFO - __main__ - macro_f1 = 0.5202511773940346
11/03/2023 11:34:57 - INFO - __main__ - num = 326
11/03/2023 11:34:57 - INFO - __main__ - prec_0 = 0.7827715355805244
11/03/2023 11:34:57 - INFO - __main__ - prec_1 = 0.36363636363636365
11/03/2023 11:34:57 - INFO - __main__ - prec_2 = 0.5945945945945946
11/03/2023 11:34:57 - INFO - __main__ - rec_0 = 0.9372197309417041
11/03/2023 11:34:57 - INFO - __main__ - rec_1 = 0.26666666666666666
11/03/2023 11:34:57 - INFO - __main__ - rec_2 = 0.3013698630136986
11/03/2023 11:34:57 - INFO - __main__ - Dev accuracy = 0.7331288343558282
11/03/2023 11:34:57 - INFO - __main__ - result['acc']=0.7331288343558282 > best_score=0.7239263803680982
11/03/2023 11:34:58 - INFO - __main__ - Saving model checkpoint to ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//checkpoint-best
11/03/2023 11:35:01 - INFO - __main__ - Saving optimizer and scheduler states to ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//checkpoint-best
11/03/2023 11:35:22 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 11:35:22 - INFO - __main__ - ***** Running evaluation checkpoint-280 *****
11/03/2023 11:35:22 - INFO - __main__ - Num examples = 527
11/03/2023 11:35:22 - INFO - __main__ - Batch size = 8
11/03/2023 11:35:28 - INFO - __main__ - ***** Eval results checkpoint-280 *****
11/03/2023 11:35:28 - INFO - __main__ - acc = 0.7172675521821632
11/03/2023 11:35:28 - INFO - __main__ - correct = 378
11/03/2023 11:35:28 - INFO - __main__ - f1_0 = 0.8360864040660737
11/03/2023 11:35:28 - INFO - __main__ - f1_1 = 0.19718309859154928
11/03/2023 11:35:28 - INFO - __main__ - f1_2 = 0.4285714285714286
11/03/2023 11:35:28 - INFO - __main__ - macro_f1 = 0.4872803104096839
11/03/2023 11:35:28 - INFO - __main__ - num = 527
11/03/2023 11:35:28 - INFO - __main__ - prec_0 = 0.7580645161290323
11/03/2023 11:35:28 - INFO - __main__ - prec_1 = 0.20588235294117646
11/03/2023 11:35:28 - INFO - __main__ - prec_2 = 0.711864406779661
11/03/2023 11:35:28 - INFO - __main__ - rec_0 = 0.9320113314447592
11/03/2023 11:35:28 - INFO - __main__ - rec_1 = 0.1891891891891892
11/03/2023 11:35:28 - INFO - __main__ - rec_2 = 0.30656934306569344
11/03/2023 11:35:28 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 11:35:28 - INFO - __main__ - ***** Running evaluation 280 *****
11/03/2023 11:35:28 - INFO - __main__ - Num examples = 326
11/03/2023 11:35:28 - INFO - __main__ - Batch size = 8
11/03/2023 11:35:32 - INFO - __main__ - ***** Eval results 280 *****
11/03/2023 11:35:32 - INFO - __main__ - acc = 0.7177914110429447
11/03/2023 11:35:32 - INFO - __main__ - correct = 234
11/03/2023 11:35:32 - INFO - __main__ - f1_0 = 0.8518518518518519
11/03/2023 11:35:32 - INFO - __main__ - f1_1 = 0.1702127659574468
11/03/2023 11:35:32 - INFO - __main__ - f1_2 = 0.3865546218487395
11/03/2023 11:35:32 - INFO - __main__ - macro_f1 = 0.4695397465526794
11/03/2023 11:35:32 - INFO - __main__ - num = 326
11/03/2023 11:35:32 - INFO - __main__ - prec_0 = 0.7870722433460076
11/03/2023 11:35:32 - INFO - __main__ - prec_1 = 0.23529411764705882
11/03/2023 11:35:32 - INFO - __main__ - prec_2 = 0.5
11/03/2023 11:35:32 - INFO - __main__ - rec_0 = 0.9282511210762332
11/03/2023 11:35:32 - INFO - __main__ - rec_1 = 0.13333333333333333
11/03/2023 11:35:32 - INFO - __main__ - rec_2 = 0.3150684931506849
11/03/2023 11:35:32 - INFO - __main__ - Dev accuracy = 0.7177914110429447
11/03/2023 11:35:53 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 11:35:53 - INFO - __main__ - ***** Running evaluation checkpoint-300 *****
11/03/2023 11:35:53 - INFO - __main__ - Num examples = 527
11/03/2023 11:35:53 - INFO - __main__ - Batch size = 8
11/03/2023 11:35:59 - INFO - __main__ - ***** Eval results checkpoint-300 *****
11/03/2023 11:35:59 - INFO - __main__ - acc = 0.7305502846299811
11/03/2023 11:35:59 - INFO - __main__ - correct = 385
11/03/2023 11:35:59 - INFO - __main__ - f1_0 = 0.8384710234278668
11/03/2023 11:35:59 - INFO - __main__ - f1_1 = 0.1923076923076923
11/03/2023 11:35:59 - INFO - __main__ - f1_2 = 0.418848167539267
11/03/2023 11:35:59 - INFO - __main__ - macro_f1 = 0.48320896109160866
11/03/2023 11:35:59 - INFO - __main__ - num = 527
11/03/2023 11:35:59 - INFO - __main__ - prec_0 = 0.74235807860262
11/03/2023 11:35:59 - INFO - __main__ - prec_1 = 0.3333333333333333
11/03/2023 11:35:59 - INFO - __main__ - prec_2 = 0.7407407407407407
11/03/2023 11:35:59 - INFO - __main__ - rec_0 = 0.9631728045325779
11/03/2023 11:35:59 - INFO - __main__ - rec_1 = 0.13513513513513514
11/03/2023 11:35:59 - INFO - __main__ - rec_2 = 0.291970802919708
11/03/2023 11:35:59 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 11:35:59 - INFO - __main__ - ***** Running evaluation 300 *****
11/03/2023 11:35:59 - INFO - __main__ - Num examples = 326
11/03/2023 11:35:59 - INFO - __main__ - Batch size = 8
11/03/2023 11:36:03 - INFO - __main__ - ***** Eval results 300 *****
11/03/2023 11:36:03 - INFO - __main__ - acc = 0.7331288343558282
11/03/2023 11:36:03 - INFO - __main__ - correct = 239
11/03/2023 11:36:03 - INFO - __main__ - f1_0 = 0.8548387096774194
11/03/2023 11:36:03 - INFO - __main__ - f1_1 = 0.05555555555555555
11/03/2023 11:36:03 - INFO - __main__ - f1_2 = 0.4333333333333333
11/03/2023 11:36:03 - INFO - __main__ - macro_f1 = 0.44790919952210273
11/03/2023 11:36:03 - INFO - __main__ - num = 326
11/03/2023 11:36:03 - INFO - __main__ - prec_0 = 0.7765567765567766
11/03/2023 11:36:03 - INFO - __main__ - prec_1 = 0.16666666666666666
11/03/2023 11:36:03 - INFO - __main__ - prec_2 = 0.5531914893617021
11/03/2023 11:36:03 - INFO - __main__ - rec_0 = 0.9506726457399103
11/03/2023 11:36:03 - INFO - __main__ - rec_1 = 0.03333333333333333
11/03/2023 11:36:03 - INFO - __main__ - rec_2 = 0.3561643835616438
11/03/2023 11:36:03 - INFO - __main__ - Dev accuracy = 0.7331288343558282
11/03/2023 11:36:24 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 11:36:24 - INFO - __main__ - ***** Running evaluation checkpoint-320 *****
11/03/2023 11:36:24 - INFO - __main__ - Num examples = 527
11/03/2023 11:36:24 - INFO - __main__ - Batch size = 8
11/03/2023 11:36:30 - INFO - __main__ - ***** Eval results checkpoint-320 *****
11/03/2023 11:36:30 - INFO - __main__ - acc = 0.7267552182163188
11/03/2023 11:36:30 - INFO - __main__ - correct = 383
11/03/2023 11:36:30 - INFO - __main__ - f1_0 = 0.8351920693928129
11/03/2023 11:36:30 - INFO - __main__ - f1_1 = 0.163265306122449
11/03/2023 11:36:30 - INFO - __main__ - f1_2 = 0.42424242424242425
11/03/2023 11:36:30 - INFO - __main__ - macro_f1 = 0.47423326658589543
11/03/2023 11:36:30 - INFO - __main__ - num = 527
11/03/2023 11:36:30 - INFO - __main__ - prec_0 = 0.7422907488986784
11/03/2023 11:36:30 - INFO - __main__ - prec_1 = 0.3333333333333333
11/03/2023 11:36:30 - INFO - __main__ - prec_2 = 0.6885245901639344
11/03/2023 11:36:30 - INFO - __main__ - rec_0 = 0.9546742209631728
11/03/2023 11:36:30 - INFO - __main__ - rec_1 = 0.10810810810810811
11/03/2023 11:36:30 - INFO - __main__ - rec_2 = 0.30656934306569344
11/03/2023 11:36:30 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 11:36:30 - INFO - __main__ - ***** Running evaluation 320 *****
11/03/2023 11:36:30 - INFO - __main__ - Num examples = 326
11/03/2023 11:36:30 - INFO - __main__ - Batch size = 8
11/03/2023 11:36:34 - INFO - __main__ - ***** Eval results 320 *****
11/03/2023 11:36:34 - INFO - __main__ - acc = 0.7392638036809815
11/03/2023 11:36:34 - INFO - __main__ - correct = 241
11/03/2023 11:36:34 - INFO - __main__ - f1_0 = 0.8571428571428572
11/03/2023 11:36:34 - INFO - __main__ - f1_1 = 0.15
11/03/2023 11:36:34 - INFO - __main__ - f1_2 = 0.43478260869565216
11/03/2023 11:36:34 - INFO - __main__ - macro_f1 = 0.4806418219461697
11/03/2023 11:36:34 - INFO - __main__ - num = 326
11/03/2023 11:36:34 - INFO - __main__ - prec_0 = 0.7773722627737226
11/03/2023 11:36:34 - INFO - __main__ - prec_1 = 0.3
11/03/2023 11:36:34 - INFO - __main__ - prec_2 = 0.5952380952380952
11/03/2023 11:36:34 - INFO - __main__ - rec_0 = 0.9551569506726457
11/03/2023 11:36:34 - INFO - __main__ - rec_1 = 0.1
11/03/2023 11:36:34 - INFO - __main__ - rec_2 = 0.3424657534246575
11/03/2023 11:36:34 - INFO - __main__ - Dev accuracy = 0.7392638036809815
11/03/2023 11:36:34 - INFO - __main__ - result['acc']=0.7392638036809815 > best_score=0.7331288343558282
11/03/2023 11:36:36 - INFO - __main__ - Saving model checkpoint to ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//checkpoint-best
11/03/2023 11:36:38 - INFO - __main__ - Saving optimizer and scheduler states to ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//checkpoint-best
11/03/2023 11:36:59 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 11:36:59 - INFO - __main__ - ***** Running evaluation checkpoint-340 *****
11/03/2023 11:36:59 - INFO - __main__ - Num examples = 527
11/03/2023 11:36:59 - INFO - __main__ - Batch size = 8
11/03/2023 11:37:06 - INFO - __main__ - ***** Eval results checkpoint-340 *****
11/03/2023 11:37:06 - INFO - __main__ - acc = 0.7248576850094877
11/03/2023 11:37:06 - INFO - __main__ - correct = 382
11/03/2023 11:37:06 - INFO - __main__ - f1_0 = 0.8309677419354838
11/03/2023 11:37:06 - INFO - __main__ - f1_1 = 0.24561403508771934
11/03/2023 11:37:06 - INFO - __main__ - f1_2 = 0.47747747747747743
11/03/2023 11:37:06 - INFO - __main__ - macro_f1 = 0.5180197515002268
11/03/2023 11:37:06 - INFO - __main__ - num = 527
11/03/2023 11:37:06 - INFO - __main__ - prec_0 = 0.7630331753554502
11/03/2023 11:37:06 - INFO - __main__ - prec_1 = 0.35
11/03/2023 11:37:06 - INFO - __main__ - prec_2 = 0.6235294117647059
11/03/2023 11:37:06 - INFO - __main__ - rec_0 = 0.9121813031161473
11/03/2023 11:37:06 - INFO - __main__ - rec_1 = 0.1891891891891892
11/03/2023 11:37:06 - INFO - __main__ - rec_2 = 0.38686131386861317
11/03/2023 11:37:06 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 11:37:06 - INFO - __main__ - ***** Running evaluation 340 *****
11/03/2023 11:37:06 - INFO - __main__ - Num examples = 326
11/03/2023 11:37:06 - INFO - __main__ - Batch size = 8
11/03/2023 11:37:09 - INFO - __main__ - ***** Eval results 340 *****
11/03/2023 11:37:09 - INFO - __main__ - acc = 0.7300613496932515
11/03/2023 11:37:09 - INFO - __main__ - correct = 238
11/03/2023 11:37:09 - INFO - __main__ - f1_0 = 0.860125260960334
11/03/2023 11:37:09 - INFO - __main__ - f1_1 = 0.09302325581395349
11/03/2023 11:37:09 - INFO - __main__ - f1_2 = 0.46153846153846156
11/03/2023 11:37:09 - INFO - __main__ - macro_f1 = 0.4715623261042497
11/03/2023 11:37:09 - INFO - __main__ - num = 326
11/03/2023 11:37:09 - INFO - __main__ - prec_0 = 0.8046875
11/03/2023 11:37:09 - INFO - __main__ - prec_1 = 0.15384615384615385
11/03/2023 11:37:09 - INFO - __main__ - prec_2 = 0.5263157894736842
11/03/2023 11:37:09 - INFO - __main__ - rec_0 = 0.9237668161434978
11/03/2023 11:37:09 - INFO - __main__ - rec_1 = 0.06666666666666667
11/03/2023 11:37:09 - INFO - __main__ - rec_2 = 0.410958904109589
11/03/2023 11:37:09 - INFO - __main__ - Dev accuracy = 0.7300613496932515
11/03/2023 11:37:31 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 11:37:31 - INFO - __main__ - ***** Running evaluation checkpoint-360 *****
11/03/2023 11:37:31 - INFO - __main__ - Num examples = 527
11/03/2023 11:37:31 - INFO - __main__ - Batch size = 8
11/03/2023 11:37:37 - INFO - __main__ - ***** Eval results checkpoint-360 *****
11/03/2023 11:37:37 - INFO - __main__ - acc = 0.7210626185958254
11/03/2023 11:37:37 - INFO - __main__ - correct = 380
11/03/2023 11:37:37 - INFO - __main__ - f1_0 = 0.8303341902313625
11/03/2023 11:37:37 - INFO - __main__ - f1_1 = 0.26666666666666666
11/03/2023 11:37:37 - INFO - __main__ - f1_2 = 0.45370370370370366
11/03/2023 11:37:37 - INFO - __main__ - macro_f1 = 0.5169015202005777
11/03/2023 11:37:37 - INFO - __main__ - num = 527
11/03/2023 11:37:37 - INFO - __main__ - prec_0 = 0.76
11/03/2023 11:37:37 - INFO - __main__ - prec_1 = 0.34782608695652173
11/03/2023 11:37:37 - INFO - __main__ - prec_2 = 0.620253164556962
11/03/2023 11:37:37 - INFO - __main__ - rec_0 = 0.9150141643059491
11/03/2023 11:37:37 - INFO - __main__ - rec_1 = 0.21621621621621623
11/03/2023 11:37:37 - INFO - __main__ - rec_2 = 0.35766423357664234
11/03/2023 11:37:37 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 11:37:37 - INFO - __main__ - ***** Running evaluation 360 *****
11/03/2023 11:37:37 - INFO - __main__ - Num examples = 326
11/03/2023 11:37:37 - INFO - __main__ - Batch size = 8
11/03/2023 11:37:41 - INFO - __main__ - ***** Eval results 360 *****
11/03/2023 11:37:41 - INFO - __main__ - acc = 0.7331288343558282
11/03/2023 11:37:41 - INFO - __main__ - correct = 239
11/03/2023 11:37:41 - INFO - __main__ - f1_0 = 0.8547717842323651
11/03/2023 11:37:41 - INFO - __main__ - f1_1 = 0.18181818181818182
11/03/2023 11:37:41 - INFO - __main__ - f1_2 = 0.46031746031746035
11/03/2023 11:37:41 - INFO - __main__ - macro_f1 = 0.49896914212266913
11/03/2023 11:37:41 - INFO - __main__ - num = 326
11/03/2023 11:37:41 - INFO - __main__ - prec_0 = 0.7953667953667953
11/03/2023 11:37:41 - INFO - __main__ - prec_1 = 0.2857142857142857
11/03/2023 11:37:41 - INFO - __main__ - prec_2 = 0.5471698113207547
11/03/2023 11:37:41 - INFO - __main__ - rec_0 = 0.9237668161434978
11/03/2023 11:37:41 - INFO - __main__ - rec_1 = 0.13333333333333333
11/03/2023 11:37:41 - INFO - __main__ - rec_2 = 0.3972602739726027
11/03/2023 11:37:41 - INFO - __main__ - Dev accuracy = 0.7331288343558282
11/03/2023 11:38:02 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 11:38:02 - INFO - __main__ - ***** Running evaluation checkpoint-380 *****
11/03/2023 11:38:02 - INFO - __main__ - Num examples = 527
11/03/2023 11:38:02 - INFO - __main__ - Batch size = 8
11/03/2023 11:38:08 - INFO - __main__ - ***** Eval results checkpoint-380 *****
11/03/2023 11:38:08 - INFO - __main__ - acc = 0.7096774193548387
11/03/2023 11:38:08 - INFO - __main__ - correct = 374
11/03/2023 11:38:08 - INFO - __main__ - f1_0 = 0.8306148055207028
11/03/2023 11:38:08 - INFO - __main__ - f1_1 = 0.20000000000000004
11/03/2023 11:38:08 - INFO - __main__ - f1_2 = 0.3850267379679144
11/03/2023 11:38:08 - INFO - __main__ - macro_f1 = 0.4718805144962057
11/03/2023 11:38:08 - INFO - __main__ - num = 527
11/03/2023 11:38:08 - INFO - __main__ - prec_0 = 0.7454954954954955
11/03/2023 11:38:08 - INFO - __main__ - prec_1 = 0.21212121212121213
11/03/2023 11:38:08 - INFO - __main__ - prec_2 = 0.72
11/03/2023 11:38:08 - INFO - __main__ - rec_0 = 0.9376770538243626
11/03/2023 11:38:08 - INFO - __main__ - rec_1 = 0.1891891891891892
11/03/2023 11:38:08 - INFO - __main__ - rec_2 = 0.26277372262773724
11/03/2023 11:38:08 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 11:38:08 - INFO - __main__ - ***** Running evaluation 380 *****
11/03/2023 11:38:08 - INFO - __main__ - Num examples = 326
11/03/2023 11:38:08 - INFO - __main__ - Batch size = 8
11/03/2023 11:38:12 - INFO - __main__ - ***** Eval results 380 *****
11/03/2023 11:38:12 - INFO - __main__ - acc = 0.745398773006135
11/03/2023 11:38:12 - INFO - __main__ - correct = 243
11/03/2023 11:38:12 - INFO - __main__ - f1_0 = 0.8635437881873727
11/03/2023 11:38:12 - INFO - __main__ - f1_1 = 0.2857142857142857
11/03/2023 11:38:12 - INFO - __main__ - f1_2 = 0.42857142857142855
11/03/2023 11:38:12 - INFO - __main__ - macro_f1 = 0.525943167491029
11/03/2023 11:38:12 - INFO - __main__ - num = 326
11/03/2023 11:38:12 - INFO - __main__ - prec_0 = 0.7910447761194029
11/03/2023 11:38:12 - INFO - __main__ - prec_1 = 0.3684210526315789
11/03/2023 11:38:12 - INFO - __main__ - prec_2 = 0.6153846153846154
11/03/2023 11:38:12 - INFO - __main__ - rec_0 = 0.9506726457399103
11/03/2023 11:38:12 - INFO - __main__ - rec_1 = 0.23333333333333334
11/03/2023 11:38:12 - INFO - __main__ - rec_2 = 0.3287671232876712
11/03/2023 11:38:12 - INFO - __main__ - Dev accuracy = 0.745398773006135
11/03/2023 11:38:12 - INFO - __main__ - result['acc']=0.745398773006135 > best_score=0.7392638036809815
11/03/2023 11:38:13 - INFO - __main__ - Saving model checkpoint to ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//checkpoint-best
11/03/2023 11:38:16 - INFO - __main__ - Saving optimizer and scheduler states to ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//checkpoint-best
11/03/2023 11:38:37 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 11:38:37 - INFO - __main__ - ***** Running evaluation checkpoint-400 *****
11/03/2023 11:38:37 - INFO - __main__ - Num examples = 527
11/03/2023 11:38:37 - INFO - __main__ - Batch size = 8
11/03/2023 11:38:43 - INFO - __main__ - ***** Eval results checkpoint-400 *****
11/03/2023 11:38:43 - INFO - __main__ - acc = 0.7115749525616698
11/03/2023 11:38:43 - INFO - __main__ - correct = 375
11/03/2023 11:38:43 - INFO - __main__ - f1_0 = 0.832313341493268
11/03/2023 11:38:43 - INFO - __main__ - f1_1 = 0.1935483870967742
11/03/2023 11:38:43 - INFO - __main__ - f1_2 = 0.33142857142857146
11/03/2023 11:38:43 - INFO - __main__ - macro_f1 = 0.45243010000620454
11/03/2023 11:38:43 - INFO - __main__ - num = 527
11/03/2023 11:38:43 - INFO - __main__ - prec_0 = 0.7327586206896551
11/03/2023 11:38:43 - INFO - __main__ - prec_1 = 0.24
11/03/2023 11:38:43 - INFO - __main__ - prec_2 = 0.7631578947368421
11/03/2023 11:38:43 - INFO - __main__ - rec_0 = 0.9631728045325779
11/03/2023 11:38:43 - INFO - __main__ - rec_1 = 0.16216216216216217
11/03/2023 11:38:43 - INFO - __main__ - rec_2 = 0.2116788321167883
11/03/2023 11:38:43 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 11:38:43 - INFO - __main__ - ***** Running evaluation 400 *****
11/03/2023 11:38:43 - INFO - __main__ - Num examples = 326
11/03/2023 11:38:43 - INFO - __main__ - Batch size = 8
11/03/2023 11:38:47 - INFO - __main__ - ***** Eval results 400 *****
11/03/2023 11:38:47 - INFO - __main__ - acc = 0.7392638036809815
11/03/2023 11:38:47 - INFO - __main__ - correct = 241
11/03/2023 11:38:47 - INFO - __main__ - f1_0 = 0.8577154308617234
11/03/2023 11:38:47 - INFO - __main__ - f1_1 = 0.26086956521739135
11/03/2023 11:38:47 - INFO - __main__ - f1_2 = 0.39252336448598124
11/03/2023 11:38:47 - INFO - __main__ - macro_f1 = 0.503702786855032
11/03/2023 11:38:47 - INFO - __main__ - num = 326
11/03/2023 11:38:47 - INFO - __main__ - prec_0 = 0.7753623188405797
11/03/2023 11:38:47 - INFO - __main__ - prec_1 = 0.375
11/03/2023 11:38:47 - INFO - __main__ - prec_2 = 0.6176470588235294
11/03/2023 11:38:47 - INFO - __main__ - rec_0 = 0.9596412556053812
11/03/2023 11:38:47 - INFO - __main__ - rec_1 = 0.2
11/03/2023 11:38:47 - INFO - __main__ - rec_2 = 0.2876712328767123
11/03/2023 11:38:47 - INFO - __main__ - Dev accuracy = 0.7392638036809815
11/03/2023 11:39:08 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 11:39:08 - INFO - __main__ - ***** Running evaluation checkpoint-420 *****
11/03/2023 11:39:08 - INFO - __main__ - Num examples = 527
11/03/2023 11:39:08 - INFO - __main__ - Batch size = 8
11/03/2023 11:39:14 - INFO - __main__ - ***** Eval results checkpoint-420 *****
11/03/2023 11:39:14 - INFO - __main__ - acc = 0.7191650853889943
11/03/2023 11:39:14 - INFO - __main__ - correct = 379
11/03/2023 11:39:14 - INFO - __main__ - f1_0 = 0.8312342569269521
11/03/2023 11:39:14 - INFO - __main__ - f1_1 = 0.22222222222222224
11/03/2023 11:39:14 - INFO - __main__ - f1_2 = 0.4263959390862944
11/03/2023 11:39:14 - INFO - __main__ - macro_f1 = 0.49328413941182286
11/03/2023 11:39:14 - INFO - __main__ - num = 527
11/03/2023 11:39:14 - INFO - __main__ - prec_0 = 0.7482993197278912
11/03/2023 11:39:14 - INFO - __main__ - prec_1 = 0.2692307692307692
11/03/2023 11:39:14 - INFO - __main__ - prec_2 = 0.7
11/03/2023 11:39:14 - INFO - __main__ - rec_0 = 0.9348441926345609
11/03/2023 11:39:14 - INFO - __main__ - rec_1 = 0.1891891891891892
11/03/2023 11:39:14 - INFO - __main__ - rec_2 = 0.30656934306569344
11/03/2023 11:39:14 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 11:39:14 - INFO - __main__ - ***** Running evaluation 420 *****
11/03/2023 11:39:14 - INFO - __main__ - Num examples = 326
11/03/2023 11:39:14 - INFO - __main__ - Batch size = 8
11/03/2023 11:39:18 - INFO - __main__ - ***** Eval results 420 *****
11/03/2023 11:39:18 - INFO - __main__ - acc = 0.745398773006135
11/03/2023 11:39:18 - INFO - __main__ - correct = 243
11/03/2023 11:39:18 - INFO - __main__ - f1_0 = 0.8658536585365852
11/03/2023 11:39:18 - INFO - __main__ - f1_1 = 0.18181818181818182
11/03/2023 11:39:18 - INFO - __main__ - f1_2 = 0.44827586206896547
11/03/2023 11:39:18 - INFO - __main__ - macro_f1 = 0.49864923414124424
11/03/2023 11:39:18 - INFO - __main__ - num = 326
11/03/2023 11:39:18 - INFO - __main__ - prec_0 = 0.79182156133829
11/03/2023 11:39:18 - INFO - __main__ - prec_1 = 0.2857142857142857
11/03/2023 11:39:18 - INFO - __main__ - prec_2 = 0.6046511627906976
11/03/2023 11:39:18 - INFO - __main__ - rec_0 = 0.9551569506726457
11/03/2023 11:39:18 - INFO - __main__ - rec_1 = 0.13333333333333333
11/03/2023 11:39:18 - INFO - __main__ - rec_2 = 0.3561643835616438
11/03/2023 11:39:18 - INFO - __main__ - Dev accuracy = 0.745398773006135
11/03/2023 11:39:39 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 11:39:39 - INFO - __main__ - ***** Running evaluation checkpoint-440 *****
11/03/2023 11:39:39 - INFO - __main__ - Num examples = 527
11/03/2023 11:39:39 - INFO - __main__ - Batch size = 8
11/03/2023 11:39:45 - INFO - __main__ - ***** Eval results checkpoint-440 *****
11/03/2023 11:39:45 - INFO - __main__ - acc = 0.7172675521821632
11/03/2023 11:39:45 - INFO - __main__ - correct = 378
11/03/2023 11:39:45 - INFO - __main__ - f1_0 = 0.8382165605095542
11/03/2023 11:39:45 - INFO - __main__ - f1_1 = 0.23684210526315788
11/03/2023 11:39:45 - INFO - __main__ - f1_2 = 0.41450777202072536
11/03/2023 11:39:45 - INFO - __main__ - macro_f1 = 0.4965221459311458
11/03/2023 11:39:45 - INFO - __main__ - num = 527
11/03/2023 11:39:45 - INFO - __main__ - prec_0 = 0.7615740740740741
11/03/2023 11:39:45 - INFO - __main__ - prec_1 = 0.23076923076923078
11/03/2023 11:39:45 - INFO - __main__ - prec_2 = 0.7142857142857143
11/03/2023 11:39:45 - INFO - __main__ - rec_0 = 0.9320113314447592
11/03/2023 11:39:45 - INFO - __main__ - rec_1 = 0.24324324324324326
11/03/2023 11:39:45 - INFO - __main__ - rec_2 = 0.291970802919708
11/03/2023 11:39:45 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 11:39:45 - INFO - __main__ - ***** Running evaluation 440 *****
11/03/2023 11:39:45 - INFO - __main__ - Num examples = 326
11/03/2023 11:39:45 - INFO - __main__ - Batch size = 8
11/03/2023 11:39:49 - INFO - __main__ - ***** Eval results 440 *****
11/03/2023 11:39:49 - INFO - __main__ - acc = 0.745398773006135
11/03/2023 11:39:49 - INFO - __main__ - correct = 243
11/03/2023 11:39:49 - INFO - __main__ - f1_0 = 0.8670756646216768
11/03/2023 11:39:49 - INFO - __main__ - f1_1 = 0.24489795918367346
11/03/2023 11:39:49 - INFO - __main__ - f1_2 = 0.43859649122807015
11/03/2023 11:39:49 - INFO - __main__ - macro_f1 = 0.5168567050111402
11/03/2023 11:39:49 - INFO - __main__ - num = 326
11/03/2023 11:39:49 - INFO - __main__ - prec_0 = 0.7969924812030075
11/03/2023 11:39:49 - INFO - __main__ - prec_1 = 0.3157894736842105
11/03/2023 11:39:49 - INFO - __main__ - prec_2 = 0.6097560975609756
11/03/2023 11:39:49 - INFO - __main__ - rec_0 = 0.9506726457399103
11/03/2023 11:39:49 - INFO - __main__ - rec_1 = 0.2
11/03/2023 11:39:49 - INFO - __main__ - rec_2 = 0.3424657534246575
11/03/2023 11:39:49 - INFO - __main__ - Dev accuracy = 0.745398773006135
11/03/2023 11:40:10 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 11:40:10 - INFO - __main__ - ***** Running evaluation checkpoint-460 *****
11/03/2023 11:40:10 - INFO - __main__ - Num examples = 527
11/03/2023 11:40:10 - INFO - __main__ - Batch size = 8
11/03/2023 11:40:17 - INFO - __main__ - ***** Eval results checkpoint-460 *****
11/03/2023 11:40:17 - INFO - __main__ - acc = 0.7210626185958254
11/03/2023 11:40:17 - INFO - __main__ - correct = 380
11/03/2023 11:40:17 - INFO - __main__ - f1_0 = 0.834975369458128
11/03/2023 11:40:17 - INFO - __main__ - f1_1 = 0.2
11/03/2023 11:40:17 - INFO - __main__ - f1_2 = 0.38461538461538464
11/03/2023 11:40:17 - INFO - __main__ - macro_f1 = 0.4731969180245042
11/03/2023 11:40:17 - INFO - __main__ - num = 527
11/03/2023 11:40:17 - INFO - __main__ - prec_0 = 0.738562091503268
11/03/2023 11:40:17 - INFO - __main__ - prec_1 = 0.2608695652173913
11/03/2023 11:40:17 - INFO - __main__ - prec_2 = 0.7777777777777778
11/03/2023 11:40:17 - INFO - __main__ - rec_0 = 0.9603399433427762
11/03/2023 11:40:17 - INFO - __main__ - rec_1 = 0.16216216216216217
11/03/2023 11:40:17 - INFO - __main__ - rec_2 = 0.25547445255474455
11/03/2023 11:40:17 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 11:40:17 - INFO - __main__ - ***** Running evaluation 460 *****
11/03/2023 11:40:17 - INFO - __main__ - Num examples = 326
11/03/2023 11:40:17 - INFO - __main__ - Batch size = 8
11/03/2023 11:40:20 - INFO - __main__ - ***** Eval results 460 *****
11/03/2023 11:40:20 - INFO - __main__ - acc = 0.7423312883435583
11/03/2023 11:40:20 - INFO - __main__ - correct = 242
11/03/2023 11:40:20 - INFO - __main__ - f1_0 = 0.8623481781376519
11/03/2023 11:40:20 - INFO - __main__ - f1_1 = 0.2222222222222222
11/03/2023 11:40:20 - INFO - __main__ - f1_2 = 0.4247787610619469
11/03/2023 11:40:20 - INFO - __main__ - macro_f1 = 0.5031163871406069
11/03/2023 11:40:20 - INFO - __main__ - num = 326
11/03/2023 11:40:20 - INFO - __main__ - prec_0 = 0.7859778597785978
11/03/2023 11:40:20 - INFO - __main__ - prec_1 = 0.3333333333333333
11/03/2023 11:40:20 - INFO - __main__ - prec_2 = 0.6
11/03/2023 11:40:20 - INFO - __main__ - rec_0 = 0.9551569506726457
11/03/2023 11:40:20 - INFO - __main__ - rec_1 = 0.16666666666666666
11/03/2023 11:40:20 - INFO - __main__ - rec_2 = 0.3287671232876712
11/03/2023 11:40:20 - INFO - __main__ - Dev accuracy = 0.7423312883435583
11/03/2023 11:40:42 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 11:40:42 - INFO - __main__ - ***** Running evaluation checkpoint-480 *****
11/03/2023 11:40:42 - INFO - __main__ - Num examples = 527
11/03/2023 11:40:42 - INFO - __main__ - Batch size = 8
11/03/2023 11:40:48 - INFO - __main__ - ***** Eval results checkpoint-480 *****
11/03/2023 11:40:48 - INFO - __main__ - acc = 0.7286527514231499
11/03/2023 11:40:48 - INFO - __main__ - correct = 384
11/03/2023 11:40:48 - INFO - __main__ - f1_0 = 0.8339768339768339
11/03/2023 11:40:48 - INFO - __main__ - f1_1 = 0.26865671641791045
11/03/2023 11:40:48 - INFO - __main__ - f1_2 = 0.4857142857142857
11/03/2023 11:40:48 - INFO - __main__ - macro_f1 = 0.5294492787030101
11/03/2023 11:40:48 - INFO - __main__ - num = 527
11/03/2023 11:40:48 - INFO - __main__ - prec_0 = 0.7641509433962265
11/03/2023 11:40:48 - INFO - __main__ - prec_1 = 0.3
11/03/2023 11:40:48 - INFO - __main__ - prec_2 = 0.6986301369863014
11/03/2023 11:40:48 - INFO - __main__ - rec_0 = 0.9178470254957507
11/03/2023 11:40:48 - INFO - __main__ - rec_1 = 0.24324324324324326
11/03/2023 11:40:48 - INFO - __main__ - rec_2 = 0.3722627737226277
11/03/2023 11:40:48 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 11:40:48 - INFO - __main__ - ***** Running evaluation 480 *****
11/03/2023 11:40:48 - INFO - __main__ - Num examples = 326
11/03/2023 11:40:48 - INFO - __main__ - Batch size = 8
11/03/2023 11:40:52 - INFO - __main__ - ***** Eval results 480 *****
11/03/2023 11:40:52 - INFO - __main__ - acc = 0.745398773006135
11/03/2023 11:40:52 - INFO - __main__ - correct = 243
11/03/2023 11:40:52 - INFO - __main__ - f1_0 = 0.8625
11/03/2023 11:40:52 - INFO - __main__ - f1_1 = 0.1739130434782609
11/03/2023 11:40:52 - INFO - __main__ - f1_2 = 0.507936507936508
11/03/2023 11:40:52 - INFO - __main__ - macro_f1 = 0.5147831838049229
11/03/2023 11:40:52 - INFO - __main__ - num = 326
11/03/2023 11:40:52 - INFO - __main__ - prec_0 = 0.8054474708171206
11/03/2023 11:40:52 - INFO - __main__ - prec_1 = 0.25
11/03/2023 11:40:52 - INFO - __main__ - prec_2 = 0.6037735849056604
11/03/2023 11:40:52 - INFO - __main__ - rec_0 = 0.9282511210762332
11/03/2023 11:40:52 - INFO - __main__ - rec_1 = 0.13333333333333333
11/03/2023 11:40:52 - INFO - __main__ - rec_2 = 0.4383561643835616
11/03/2023 11:40:52 - INFO - __main__ - Dev accuracy = 0.745398773006135
11/03/2023 11:41:13 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 11:41:13 - INFO - __main__ - ***** Running evaluation checkpoint-500 *****
11/03/2023 11:41:13 - INFO - __main__ - Num examples = 527
11/03/2023 11:41:13 - INFO - __main__ - Batch size = 8
11/03/2023 11:41:19 - INFO - __main__ - ***** Eval results checkpoint-500 *****
11/03/2023 11:41:19 - INFO - __main__ - acc = 0.7191650853889943
11/03/2023 11:41:19 - INFO - __main__ - correct = 379
11/03/2023 11:41:19 - INFO - __main__ - f1_0 = 0.8376703841387856
11/03/2023 11:41:19 - INFO - __main__ - f1_1 = 0.21212121212121213
11/03/2023 11:41:19 - INFO - __main__ - f1_2 = 0.37569060773480667
11/03/2023 11:41:19 - INFO - __main__ - macro_f1 = 0.47516073466493475
11/03/2023 11:41:19 - INFO - __main__ - num = 527
11/03/2023 11:41:19 - INFO - __main__ - prec_0 = 0.7444933920704846
11/03/2023 11:41:19 - INFO - __main__ - prec_1 = 0.2413793103448276
11/03/2023 11:41:19 - INFO - __main__ - prec_2 = 0.7727272727272727
11/03/2023 11:41:19 - INFO - __main__ - rec_0 = 0.9575070821529745
11/03/2023 11:41:19 - INFO - __main__ - rec_1 = 0.1891891891891892
11/03/2023 11:41:19 - INFO - __main__ - rec_2 = 0.24817518248175183
11/03/2023 11:41:19 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 11:41:19 - INFO - __main__ - ***** Running evaluation 500 *****
11/03/2023 11:41:19 - INFO - __main__ - Num examples = 326
11/03/2023 11:41:19 - INFO - __main__ - Batch size = 8
11/03/2023 11:41:23 - INFO - __main__ - ***** Eval results 500 *****
11/03/2023 11:41:23 - INFO - __main__ - acc = 0.7392638036809815
11/03/2023 11:41:23 - INFO - __main__ - correct = 241
11/03/2023 11:41:23 - INFO - __main__ - f1_0 = 0.8658536585365852
11/03/2023 11:41:23 - INFO - __main__ - f1_1 = 0.21276595744680848
11/03/2023 11:41:23 - INFO - __main__ - f1_2 = 0.4070796460176991
11/03/2023 11:41:23 - INFO - __main__ - macro_f1 = 0.49523308733369764
11/03/2023 11:41:23 - INFO - __main__ - num = 326
11/03/2023 11:41:23 - INFO - __main__ - prec_0 = 0.79182156133829
11/03/2023 11:41:23 - INFO - __main__ - prec_1 = 0.29411764705882354
11/03/2023 11:41:23 - INFO - __main__ - prec_2 = 0.575
11/03/2023 11:41:23 - INFO - __main__ - rec_0 = 0.9551569506726457
11/03/2023 11:41:23 - INFO - __main__ - rec_1 = 0.16666666666666666
11/03/2023 11:41:23 - INFO - __main__ - rec_2 = 0.3150684931506849
11/03/2023 11:41:23 - INFO - __main__ - Dev accuracy = 0.7392638036809815
11/03/2023 11:41:44 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 11:41:44 - INFO - __main__ - ***** Running evaluation checkpoint-520 *****
11/03/2023 11:41:44 - INFO - __main__ - Num examples = 527
11/03/2023 11:41:44 - INFO - __main__ - Batch size = 8
11/03/2023 11:41:50 - INFO - __main__ - ***** Eval results checkpoint-520 *****
11/03/2023 11:41:50 - INFO - __main__ - acc = 0.7248576850094877
11/03/2023 11:41:50 - INFO - __main__ - correct = 382
11/03/2023 11:41:50 - INFO - __main__ - f1_0 = 0.8368617683686178
11/03/2023 11:41:50 - INFO - __main__ - f1_1 = 0.22222222222222224
11/03/2023 11:41:50 - INFO - __main__ - f1_2 = 0.4148936170212766
11/03/2023 11:41:50 - INFO - __main__ - macro_f1 = 0.4913258692040389
11/03/2023 11:41:50 - INFO - __main__ - num = 527
11/03/2023 11:41:50 - INFO - __main__ - prec_0 = 0.7466666666666667
11/03/2023 11:41:50 - INFO - __main__ - prec_1 = 0.2692307692307692
11/03/2023 11:41:50 - INFO - __main__ - prec_2 = 0.7647058823529411
11/03/2023 11:41:50 - INFO - __main__ - rec_0 = 0.9518413597733711
11/03/2023 11:41:50 - INFO - __main__ - rec_1 = 0.1891891891891892
11/03/2023 11:41:50 - INFO - __main__ - rec_2 = 0.2846715328467153
11/03/2023 11:41:50 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 11:41:50 - INFO - __main__ - ***** Running evaluation 520 *****
11/03/2023 11:41:50 - INFO - __main__ - Num examples = 326
11/03/2023 11:41:50 - INFO - __main__ - Batch size = 8
11/03/2023 11:41:54 - INFO - __main__ - ***** Eval results 520 *****
11/03/2023 11:41:54 - INFO - __main__ - acc = 0.7423312883435583
11/03/2023 11:41:54 - INFO - __main__ - correct = 242
11/03/2023 11:41:54 - INFO - __main__ - f1_0 = 0.8658536585365852
11/03/2023 11:41:54 - INFO - __main__ - f1_1 = 0.18181818181818182
11/03/2023 11:41:54 - INFO - __main__ - f1_2 = 0.43103448275862066
11/03/2023 11:41:54 - INFO - __main__ - macro_f1 = 0.49290210770446263
11/03/2023 11:41:54 - INFO - __main__ - num = 326
11/03/2023 11:41:54 - INFO - __main__ - prec_0 = 0.79182156133829
11/03/2023 11:41:54 - INFO - __main__ - prec_1 = 0.2857142857142857
11/03/2023 11:41:54 - INFO - __main__ - prec_2 = 0.5813953488372093
11/03/2023 11:41:54 - INFO - __main__ - rec_0 = 0.9551569506726457
11/03/2023 11:41:54 - INFO - __main__ - rec_1 = 0.13333333333333333
11/03/2023 11:41:54 - INFO - __main__ - rec_2 = 0.3424657534246575
11/03/2023 11:41:54 - INFO - __main__ - Dev accuracy = 0.7423312883435583
11/03/2023 11:42:04 - INFO - __main__ - global_step = 530, average loss = 0.4488010585747378
11/03/2023 11:42:04 - INFO - __main__ - best checkpoint = ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//checkpoint-best, best score = 0.745398773006135
11/03/2023 11:42:04 - INFO - __main__ - Saving model checkpoint to ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//
11/03/2023 11:42:08 - INFO - __main__ - Evaluate the following checkpoints: ['./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256/checkpoint-best', './outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256']
11/03/2023 11:42:11 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 11:42:11 - INFO - __main__ - ***** Running evaluation checkpoint-best *****
11/03/2023 11:42:11 - INFO - __main__ - Num examples = 326
11/03/2023 11:42:11 - INFO - __main__ - Batch size = 8
11/03/2023 11:42:14 - INFO - __main__ - ***** Eval results checkpoint-best *****
11/03/2023 11:42:14 - INFO - __main__ - acc = 0.745398773006135
11/03/2023 11:42:14 - INFO - __main__ - correct = 243
11/03/2023 11:42:14 - INFO - __main__ - f1_0 = 0.8635437881873727
11/03/2023 11:42:14 - INFO - __main__ - f1_1 = 0.2857142857142857
11/03/2023 11:42:14 - INFO - __main__ - f1_2 = 0.42857142857142855
11/03/2023 11:42:14 - INFO - __main__ - macro_f1 = 0.525943167491029
11/03/2023 11:42:14 - INFO - __main__ - num = 326
11/03/2023 11:42:14 - INFO - __main__ - prec_0 = 0.7910447761194029
11/03/2023 11:42:14 - INFO - __main__ - prec_1 = 0.3684210526315789
11/03/2023 11:42:14 - INFO - __main__ - prec_2 = 0.6153846153846154
11/03/2023 11:42:14 - INFO - __main__ - rec_0 = 0.9506726457399103
11/03/2023 11:42:14 - INFO - __main__ - rec_1 = 0.23333333333333334
11/03/2023 11:42:14 - INFO - __main__ - rec_2 = 0.3287671232876712
11/03/2023 11:42:17 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 11:42:17 - INFO - __main__ - ***** Running evaluation *****
11/03/2023 11:42:17 - INFO - __main__ - Num examples = 326
11/03/2023 11:42:17 - INFO - __main__ - Batch size = 8
11/03/2023 11:42:21 - INFO - __main__ - ***** Eval results *****
11/03/2023 11:42:21 - INFO - __main__ - acc = 0.7423312883435583
11/03/2023 11:42:21 - INFO - __main__ - correct = 242
11/03/2023 11:42:21 - INFO - __main__ - f1_0 = 0.8658536585365852
11/03/2023 11:42:21 - INFO - __main__ - f1_1 = 0.18181818181818182
11/03/2023 11:42:21 - INFO - __main__ - f1_2 = 0.43103448275862066
11/03/2023 11:42:21 - INFO - __main__ - macro_f1 = 0.49290210770446263
11/03/2023 11:42:21 - INFO - __main__ - num = 326
11/03/2023 11:42:21 - INFO - __main__ - prec_0 = 0.79182156133829
11/03/2023 11:42:21 - INFO - __main__ - prec_1 = 0.2857142857142857
11/03/2023 11:42:21 - INFO - __main__ - prec_2 = 0.5813953488372093
11/03/2023 11:42:21 - INFO - __main__ - rec_0 = 0.9551569506726457
11/03/2023 11:42:21 - INFO - __main__ - rec_1 = 0.13333333333333333
11/03/2023 11:42:21 - INFO - __main__ - rec_2 = 0.3424657534246575
11/03/2023 11:42:21 - INFO - __main__ - Best checkpoint is ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256/checkpoint-best, best accuracy is 0.745398773006135
11/03/2023 11:42:23 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 11:42:23 - INFO - __main__ - ***** Running evaluation best_checkpoint *****
11/03/2023 11:42:23 - INFO - __main__ - Num examples = 527
11/03/2023 11:42:23 - INFO - __main__ - Batch size = 8
11/03/2023 11:42:30 - INFO - __main__ - ***** Save prediction ******
11/03/2023 11:42:30 - INFO - __main__ - ***** Eval results best_checkpoint *****
11/03/2023 11:42:30 - INFO - __main__ - acc = 0.7096774193548387
11/03/2023 11:42:30 - INFO - __main__ - correct = 374
11/03/2023 11:42:30 - INFO - __main__ - f1_0 = 0.8306148055207028
11/03/2023 11:42:30 - INFO - __main__ - f1_1 = 0.20000000000000004
11/03/2023 11:42:30 - INFO - __main__ - f1_2 = 0.3850267379679144
11/03/2023 11:42:30 - INFO - __main__ - macro_f1 = 0.4718805144962057
11/03/2023 11:42:30 - INFO - __main__ - num = 527
11/03/2023 11:42:30 - INFO - __main__ - prec_0 = 0.7454954954954955
11/03/2023 11:42:30 - INFO - __main__ - prec_1 = 0.21212121212121213
11/03/2023 11:42:30 - INFO - __main__ - prec_2 = 0.72
11/03/2023 11:42:30 - INFO - __main__ - rec_0 = 0.9376770538243626
11/03/2023 11:42:30 - INFO - __main__ - rec_1 = 0.1891891891891892
11/03/2023 11:42:30 - INFO - __main__ - rec_2 = 0.26277372262773724
11/03/2023 11:42:30 - INFO - __main__ - 0.7096774193548387
11/03/2023 12:14:16 - INFO - root - Input args: Namespace(adam_epsilon=1e-08, cache_dir='', config_name='', data_dir='./data/oversample//comp', do_eval=True, do_lower_case=False, do_predict=True, do_predict_dev=False, do_train=True, eval_all_checkpoints=True, eval_test_set=True, evaluate_during_training=False, fp16=False, fp16_opt_level='O1', gradient_accumulation_steps=1, init_checkpoint=None, learning_rate=1e-05, local_rank=-1, log_file='train', logging_steps=50, max_grad_norm=1.0, max_seq_length=256, max_steps=-1, model_name_or_path='roberta-large', model_type='roberta', no_cuda=False, num_train_epochs=10.0, output_dir='./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//', overwrite_cache=False, overwrite_output_dir=True, per_gpu_eval_batch_size=8, per_gpu_train_batch_size=16, save_only_best_checkpoint=True, save_steps=20, seed=42, server_ip='', server_port='', task_name='comp', test_split='test', tokenizer_name='', train_split='train', warmup_steps=0, weight_decay=0.0)
11/03/2023 12:14:17 - WARNING - __main__ - Process rank: -1, device: cuda, n_gpu: 1, distributed training: False, 16-bits training: False
11/03/2023 12:14:17 - INFO - __main__ - config = RobertaConfig {
"architectures": [
"RobertaForMaskedLM"
],
"attention_probs_dropout_prob": 0.1,
"bos_token_id": 0,
"classifier_dropout": null,
"eos_token_id": 2,
"finetuning_task": "comp",
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 1024,
"id2label": {
"0": "LABEL_0",
"1": "LABEL_1",
"2": "LABEL_2"
},
"initializer_range": 0.02,
"intermediate_size": 4096,
"label2id": {
"LABEL_0": 0,
"LABEL_1": 1,
"LABEL_2": 2
},
"layer_norm_eps": 1e-05,
"max_position_embeddings": 514,
"model_type": "roberta",
"num_attention_heads": 16,
"num_hidden_layers": 24,
"pad_token_id": 1,
"position_embedding_type": "absolute",
"transformers_version": "4.34.1",
"type_vocab_size": 1,
"use_cache": true,
"vocab_size": 50265
}
11/03/2023 12:14:17 - INFO - __main__ - Training/evaluation parameters Namespace(adam_epsilon=1e-08, cache_dir='', config_name='', data_dir='./data/oversample//comp', device=device(type='cuda'), do_eval=True, do_lower_case=False, do_predict=True, do_predict_dev=False, do_train=True, eval_all_checkpoints=True, eval_test_set=True, evaluate_during_training=False, fp16=False, fp16_opt_level='O1', gradient_accumulation_steps=1, init_checkpoint=None, learning_rate=1e-05, local_rank=-1, log_file='train', logging_steps=50, max_grad_norm=1.0, max_seq_length=256, max_steps=-1, model_name_or_path='roberta-large', model_type='roberta', n_gpu=1, no_cuda=False, num_train_epochs=10.0, output_dir='./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//', output_mode='classification', overwrite_cache=False, overwrite_output_dir=True, per_gpu_eval_batch_size=8, per_gpu_train_batch_size=16, save_only_best_checkpoint=True, save_steps=20, seed=42, server_ip='', server_port='', task_name='comp', test_split='test', tokenizer_name='', train_split='train', warmup_steps=0, weight_decay=0.0)
11/03/2023 12:14:17 - INFO - __main__ - loading from existing model roberta-large
11/03/2023 12:14:26 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_train_roberta-large_256_comp_
11/03/2023 12:14:26 - INFO - __main__ - ***** Running training *****
11/03/2023 12:14:26 - INFO - __main__ - Num examples = 1696
11/03/2023 12:14:26 - INFO - __main__ - Num Epochs = 10
11/03/2023 12:14:26 - INFO - __main__ - Instantaneous batch size per GPU = 16
11/03/2023 12:14:26 - INFO - __main__ - Total train batch size (w. parallel, distributed & accumulation) = 16
11/03/2023 12:14:26 - INFO - __main__ - Gradient Accumulation steps = 1
11/03/2023 12:14:26 - INFO - __main__ - Total optimization steps = 1060
11/03/2023 12:14:43 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:14:43 - INFO - __main__ - ***** Running evaluation checkpoint-20 *****
11/03/2023 12:14:43 - INFO - __main__ - Num examples = 527
11/03/2023 12:14:43 - INFO - __main__ - Batch size = 8
11/03/2023 12:14:49 - INFO - __main__ - ***** Eval results checkpoint-20 *****
11/03/2023 12:14:49 - INFO - __main__ - acc = 0.6679316888045541
11/03/2023 12:14:49 - INFO - __main__ - correct = 352
11/03/2023 12:14:49 - INFO - __main__ - f1_0 = 0.8027366020524516
11/03/2023 12:14:49 - INFO - __main__ - f1_1 = 0
11/03/2023 12:14:49 - INFO - __main__ - f1_2 = 0
11/03/2023 12:14:49 - INFO - __main__ - macro_f1 = 0.2675788673508172
11/03/2023 12:14:49 - INFO - __main__ - num = 527
11/03/2023 12:14:49 - INFO - __main__ - prec_0 = 0.6717557251908397
11/03/2023 12:14:49 - INFO - __main__ - prec_1 = 0.0
11/03/2023 12:14:49 - INFO - __main__ - prec_2 = 0.0
11/03/2023 12:14:49 - INFO - __main__ - rec_0 = 0.9971671388101983
11/03/2023 12:14:49 - INFO - __main__ - rec_1 = 0.0
11/03/2023 12:14:49 - INFO - __main__ - rec_2 = 0.0
11/03/2023 12:14:49 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:14:49 - INFO - __main__ - ***** Running evaluation 20 *****
11/03/2023 12:14:49 - INFO - __main__ - Num examples = 326
11/03/2023 12:14:49 - INFO - __main__ - Batch size = 8
11/03/2023 12:14:52 - INFO - __main__ - ***** Eval results 20 *****
11/03/2023 12:14:52 - INFO - __main__ - acc = 0.6748466257668712
11/03/2023 12:14:52 - INFO - __main__ - correct = 220
11/03/2023 12:14:52 - INFO - __main__ - f1_0 = 0.8073394495412843
11/03/2023 12:14:52 - INFO - __main__ - f1_1 = 0
11/03/2023 12:14:52 - INFO - __main__ - f1_2 = 0
11/03/2023 12:14:52 - INFO - __main__ - macro_f1 = 0.2691131498470948
11/03/2023 12:14:52 - INFO - __main__ - num = 326
11/03/2023 12:14:52 - INFO - __main__ - prec_0 = 0.6832298136645962
11/03/2023 12:14:52 - INFO - __main__ - prec_1 = 0.0
11/03/2023 12:14:52 - INFO - __main__ - prec_2 = 0.0
11/03/2023 12:14:52 - INFO - __main__ - rec_0 = 0.9865470852017937
11/03/2023 12:14:52 - INFO - __main__ - rec_1 = 0.0
11/03/2023 12:14:52 - INFO - __main__ - rec_2 = 0.0
11/03/2023 12:14:52 - INFO - __main__ - Dev accuracy = 0.6748466257668712
11/03/2023 12:14:52 - INFO - __main__ - result['acc']=0.6748466257668712 > best_score=0
11/03/2023 12:14:54 - INFO - __main__ - Saving model checkpoint to ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//checkpoint-best
11/03/2023 12:14:56 - INFO - __main__ - Saving optimizer and scheduler states to ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//checkpoint-best
11/03/2023 12:15:08 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:15:08 - INFO - __main__ - ***** Running evaluation checkpoint-40 *****
11/03/2023 12:15:08 - INFO - __main__ - Num examples = 527
11/03/2023 12:15:08 - INFO - __main__ - Batch size = 8
11/03/2023 12:15:14 - INFO - __main__ - ***** Eval results checkpoint-40 *****
11/03/2023 12:15:14 - INFO - __main__ - acc = 0.6698292220113852
11/03/2023 12:15:14 - INFO - __main__ - correct = 353
11/03/2023 12:15:14 - INFO - __main__ - f1_0 = 0.8022727272727272
11/03/2023 12:15:14 - INFO - __main__ - f1_1 = 0
11/03/2023 12:15:14 - INFO - __main__ - f1_2 = 0
11/03/2023 12:15:14 - INFO - __main__ - macro_f1 = 0.2674242424242424
11/03/2023 12:15:14 - INFO - __main__ - num = 527
11/03/2023 12:15:14 - INFO - __main__ - prec_0 = 0.6698292220113852
11/03/2023 12:15:14 - INFO - __main__ - prec_1 = 0.0
11/03/2023 12:15:14 - INFO - __main__ - prec_2 = 0.0
11/03/2023 12:15:14 - INFO - __main__ - rec_0 = 1.0
11/03/2023 12:15:14 - INFO - __main__ - rec_1 = 0.0
11/03/2023 12:15:14 - INFO - __main__ - rec_2 = 0.0
11/03/2023 12:15:14 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:15:14 - INFO - __main__ - ***** Running evaluation 40 *****
11/03/2023 12:15:14 - INFO - __main__ - Num examples = 326
11/03/2023 12:15:14 - INFO - __main__ - Batch size = 8
11/03/2023 12:15:17 - INFO - __main__ - ***** Eval results 40 *****
11/03/2023 12:15:17 - INFO - __main__ - acc = 0.6840490797546013
11/03/2023 12:15:17 - INFO - __main__ - correct = 223
11/03/2023 12:15:17 - INFO - __main__ - f1_0 = 0.8123861566484518
11/03/2023 12:15:17 - INFO - __main__ - f1_1 = 0
11/03/2023 12:15:17 - INFO - __main__ - f1_2 = 0
11/03/2023 12:15:17 - INFO - __main__ - macro_f1 = 0.27079538554948396
11/03/2023 12:15:17 - INFO - __main__ - num = 326
11/03/2023 12:15:17 - INFO - __main__ - prec_0 = 0.6840490797546013
11/03/2023 12:15:17 - INFO - __main__ - prec_1 = 0.0
11/03/2023 12:15:17 - INFO - __main__ - prec_2 = 0.0
11/03/2023 12:15:17 - INFO - __main__ - rec_0 = 1.0
11/03/2023 12:15:17 - INFO - __main__ - rec_1 = 0.0
11/03/2023 12:15:17 - INFO - __main__ - rec_2 = 0.0
11/03/2023 12:15:17 - INFO - __main__ - Dev accuracy = 0.6840490797546013
11/03/2023 12:15:17 - INFO - __main__ - result['acc']=0.6840490797546013 > best_score=0.6748466257668712
11/03/2023 12:15:19 - INFO - __main__ - Saving model checkpoint to ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//checkpoint-best
11/03/2023 12:15:21 - INFO - __main__ - Saving optimizer and scheduler states to ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//checkpoint-best
11/03/2023 12:15:32 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:15:32 - INFO - __main__ - ***** Running evaluation checkpoint-60 *****
11/03/2023 12:15:32 - INFO - __main__ - Num examples = 527
11/03/2023 12:15:32 - INFO - __main__ - Batch size = 8
11/03/2023 12:15:38 - INFO - __main__ - ***** Eval results checkpoint-60 *****
11/03/2023 12:15:38 - INFO - __main__ - acc = 0.6698292220113852
11/03/2023 12:15:38 - INFO - __main__ - correct = 353
11/03/2023 12:15:38 - INFO - __main__ - f1_0 = 0.8022727272727272
11/03/2023 12:15:38 - INFO - __main__ - f1_1 = 0
11/03/2023 12:15:38 - INFO - __main__ - f1_2 = 0
11/03/2023 12:15:38 - INFO - __main__ - macro_f1 = 0.2674242424242424
11/03/2023 12:15:38 - INFO - __main__ - num = 527
11/03/2023 12:15:38 - INFO - __main__ - prec_0 = 0.6698292220113852
11/03/2023 12:15:38 - INFO - __main__ - prec_1 = 0.0
11/03/2023 12:15:38 - INFO - __main__ - prec_2 = 0.0
11/03/2023 12:15:38 - INFO - __main__ - rec_0 = 1.0
11/03/2023 12:15:38 - INFO - __main__ - rec_1 = 0.0
11/03/2023 12:15:38 - INFO - __main__ - rec_2 = 0.0
11/03/2023 12:15:38 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:15:38 - INFO - __main__ - ***** Running evaluation 60 *****
11/03/2023 12:15:38 - INFO - __main__ - Num examples = 326
11/03/2023 12:15:38 - INFO - __main__ - Batch size = 8
11/03/2023 12:15:42 - INFO - __main__ - ***** Eval results 60 *****
11/03/2023 12:15:42 - INFO - __main__ - acc = 0.6840490797546013
11/03/2023 12:15:42 - INFO - __main__ - correct = 223
11/03/2023 12:15:42 - INFO - __main__ - f1_0 = 0.8123861566484518
11/03/2023 12:15:42 - INFO - __main__ - f1_1 = 0
11/03/2023 12:15:42 - INFO - __main__ - f1_2 = 0
11/03/2023 12:15:42 - INFO - __main__ - macro_f1 = 0.27079538554948396
11/03/2023 12:15:42 - INFO - __main__ - num = 326
11/03/2023 12:15:42 - INFO - __main__ - prec_0 = 0.6840490797546013
11/03/2023 12:15:42 - INFO - __main__ - prec_1 = 0.0
11/03/2023 12:15:42 - INFO - __main__ - prec_2 = 0.0
11/03/2023 12:15:42 - INFO - __main__ - rec_0 = 1.0
11/03/2023 12:15:42 - INFO - __main__ - rec_1 = 0.0
11/03/2023 12:15:42 - INFO - __main__ - rec_2 = 0.0
11/03/2023 12:15:42 - INFO - __main__ - Dev accuracy = 0.6840490797546013
11/03/2023 12:15:54 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:15:54 - INFO - __main__ - ***** Running evaluation checkpoint-80 *****
11/03/2023 12:15:54 - INFO - __main__ - Num examples = 527
11/03/2023 12:15:54 - INFO - __main__ - Batch size = 8
11/03/2023 12:16:00 - INFO - __main__ - ***** Eval results checkpoint-80 *****
11/03/2023 12:16:00 - INFO - __main__ - acc = 0.6698292220113852
11/03/2023 12:16:00 - INFO - __main__ - correct = 353
11/03/2023 12:16:00 - INFO - __main__ - f1_0 = 0.8022727272727272
11/03/2023 12:16:00 - INFO - __main__ - f1_1 = 0
11/03/2023 12:16:00 - INFO - __main__ - f1_2 = 0
11/03/2023 12:16:00 - INFO - __main__ - macro_f1 = 0.2674242424242424
11/03/2023 12:16:00 - INFO - __main__ - num = 527
11/03/2023 12:16:00 - INFO - __main__ - prec_0 = 0.6698292220113852
11/03/2023 12:16:00 - INFO - __main__ - prec_1 = 0.0
11/03/2023 12:16:00 - INFO - __main__ - prec_2 = 0.0
11/03/2023 12:16:00 - INFO - __main__ - rec_0 = 1.0
11/03/2023 12:16:00 - INFO - __main__ - rec_1 = 0.0
11/03/2023 12:16:00 - INFO - __main__ - rec_2 = 0.0
11/03/2023 12:16:00 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:16:00 - INFO - __main__ - ***** Running evaluation 80 *****
11/03/2023 12:16:00 - INFO - __main__ - Num examples = 326
11/03/2023 12:16:00 - INFO - __main__ - Batch size = 8
11/03/2023 12:16:04 - INFO - __main__ - ***** Eval results 80 *****
11/03/2023 12:16:04 - INFO - __main__ - acc = 0.6840490797546013
11/03/2023 12:16:04 - INFO - __main__ - correct = 223
11/03/2023 12:16:04 - INFO - __main__ - f1_0 = 0.8123861566484518
11/03/2023 12:16:04 - INFO - __main__ - f1_1 = 0
11/03/2023 12:16:04 - INFO - __main__ - f1_2 = 0
11/03/2023 12:16:04 - INFO - __main__ - macro_f1 = 0.27079538554948396
11/03/2023 12:16:04 - INFO - __main__ - num = 326
11/03/2023 12:16:04 - INFO - __main__ - prec_0 = 0.6840490797546013
11/03/2023 12:16:04 - INFO - __main__ - prec_1 = 0.0
11/03/2023 12:16:04 - INFO - __main__ - prec_2 = 0.0
11/03/2023 12:16:04 - INFO - __main__ - rec_0 = 1.0
11/03/2023 12:16:04 - INFO - __main__ - rec_1 = 0.0
11/03/2023 12:16:04 - INFO - __main__ - rec_2 = 0.0
11/03/2023 12:16:04 - INFO - __main__ - Dev accuracy = 0.6840490797546013
11/03/2023 12:16:15 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:16:15 - INFO - __main__ - ***** Running evaluation checkpoint-100 *****
11/03/2023 12:16:15 - INFO - __main__ - Num examples = 527
11/03/2023 12:16:15 - INFO - __main__ - Batch size = 8
11/03/2023 12:16:21 - INFO - __main__ - ***** Eval results checkpoint-100 *****
11/03/2023 12:16:21 - INFO - __main__ - acc = 0.6698292220113852
11/03/2023 12:16:21 - INFO - __main__ - correct = 353
11/03/2023 12:16:21 - INFO - __main__ - f1_0 = 0.8022727272727272
11/03/2023 12:16:21 - INFO - __main__ - f1_1 = 0
11/03/2023 12:16:21 - INFO - __main__ - f1_2 = 0
11/03/2023 12:16:21 - INFO - __main__ - macro_f1 = 0.2674242424242424
11/03/2023 12:16:21 - INFO - __main__ - num = 527
11/03/2023 12:16:21 - INFO - __main__ - prec_0 = 0.6698292220113852
11/03/2023 12:16:21 - INFO - __main__ - prec_1 = 0.0
11/03/2023 12:16:21 - INFO - __main__ - prec_2 = 0.0
11/03/2023 12:16:21 - INFO - __main__ - rec_0 = 1.0
11/03/2023 12:16:21 - INFO - __main__ - rec_1 = 0.0
11/03/2023 12:16:21 - INFO - __main__ - rec_2 = 0.0
11/03/2023 12:16:21 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:16:21 - INFO - __main__ - ***** Running evaluation 100 *****
11/03/2023 12:16:21 - INFO - __main__ - Num examples = 326
11/03/2023 12:16:21 - INFO - __main__ - Batch size = 8
11/03/2023 12:16:25 - INFO - __main__ - ***** Eval results 100 *****
11/03/2023 12:16:25 - INFO - __main__ - acc = 0.6840490797546013
11/03/2023 12:16:25 - INFO - __main__ - correct = 223
11/03/2023 12:16:25 - INFO - __main__ - f1_0 = 0.8123861566484518
11/03/2023 12:16:25 - INFO - __main__ - f1_1 = 0
11/03/2023 12:16:25 - INFO - __main__ - f1_2 = 0
11/03/2023 12:16:25 - INFO - __main__ - macro_f1 = 0.27079538554948396
11/03/2023 12:16:25 - INFO - __main__ - num = 326
11/03/2023 12:16:25 - INFO - __main__ - prec_0 = 0.6840490797546013
11/03/2023 12:16:25 - INFO - __main__ - prec_1 = 0.0
11/03/2023 12:16:25 - INFO - __main__ - prec_2 = 0.0
11/03/2023 12:16:25 - INFO - __main__ - rec_0 = 1.0
11/03/2023 12:16:25 - INFO - __main__ - rec_1 = 0.0
11/03/2023 12:16:25 - INFO - __main__ - rec_2 = 0.0
11/03/2023 12:16:25 - INFO - __main__ - Dev accuracy = 0.6840490797546013
11/03/2023 12:16:36 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:16:36 - INFO - __main__ - ***** Running evaluation checkpoint-120 *****
11/03/2023 12:16:36 - INFO - __main__ - Num examples = 527
11/03/2023 12:16:36 - INFO - __main__ - Batch size = 8
11/03/2023 12:16:42 - INFO - __main__ - ***** Eval results checkpoint-120 *****
11/03/2023 12:16:42 - INFO - __main__ - acc = 0.4364326375711575
11/03/2023 12:16:42 - INFO - __main__ - correct = 230
11/03/2023 12:16:42 - INFO - __main__ - f1_0 = 0.6615384615384615
11/03/2023 12:16:42 - INFO - __main__ - f1_1 = 0.11235955056179775
11/03/2023 12:16:42 - INFO - __main__ - f1_2 = 0
11/03/2023 12:16:42 - INFO - __main__ - macro_f1 = 0.25796600403341974
11/03/2023 12:16:42 - INFO - __main__ - num = 527
11/03/2023 12:16:42 - INFO - __main__ - prec_0 = 0.7239057239057239
11/03/2023 12:16:42 - INFO - __main__ - prec_1 = 0.06521739130434782
11/03/2023 12:16:42 - INFO - __main__ - prec_2 = 0.0
11/03/2023 12:16:42 - INFO - __main__ - rec_0 = 0.6090651558073654
11/03/2023 12:16:42 - INFO - __main__ - rec_1 = 0.40540540540540543
11/03/2023 12:16:42 - INFO - __main__ - rec_2 = 0.0
11/03/2023 12:16:42 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:16:42 - INFO - __main__ - ***** Running evaluation 120 *****
11/03/2023 12:16:42 - INFO - __main__ - Num examples = 326
11/03/2023 12:16:42 - INFO - __main__ - Batch size = 8
11/03/2023 12:16:46 - INFO - __main__ - ***** Eval results 120 *****
11/03/2023 12:16:46 - INFO - __main__ - acc = 0.5306748466257669
11/03/2023 12:16:46 - INFO - __main__ - correct = 173
11/03/2023 12:16:46 - INFO - __main__ - f1_0 = 0.7199999999999999
11/03/2023 12:16:46 - INFO - __main__ - f1_1 = 0.17054263565891473
11/03/2023 12:16:46 - INFO - __main__ - f1_2 = 0
11/03/2023 12:16:46 - INFO - __main__ - macro_f1 = 0.2968475452196382
11/03/2023 12:16:46 - INFO - __main__ - num = 326
11/03/2023 12:16:46 - INFO - __main__ - prec_0 = 0.7136563876651982
11/03/2023 12:16:46 - INFO - __main__ - prec_1 = 0.1111111111111111
11/03/2023 12:16:46 - INFO - __main__ - prec_2 = 0.0
11/03/2023 12:16:46 - INFO - __main__ - rec_0 = 0.726457399103139
11/03/2023 12:16:46 - INFO - __main__ - rec_1 = 0.36666666666666664
11/03/2023 12:16:46 - INFO - __main__ - rec_2 = 0.0
11/03/2023 12:16:46 - INFO - __main__ - Dev accuracy = 0.5306748466257669
11/03/2023 12:16:58 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:16:58 - INFO - __main__ - ***** Running evaluation checkpoint-140 *****
11/03/2023 12:16:58 - INFO - __main__ - Num examples = 527
11/03/2023 12:16:58 - INFO - __main__ - Batch size = 8
11/03/2023 12:17:04 - INFO - __main__ - ***** Eval results checkpoint-140 *****
11/03/2023 12:17:04 - INFO - __main__ - acc = 0.6527514231499051
11/03/2023 12:17:04 - INFO - __main__ - correct = 344
11/03/2023 12:17:04 - INFO - __main__ - f1_0 = 0.800942285041225
11/03/2023 12:17:04 - INFO - __main__ - f1_1 = 0
11/03/2023 12:17:04 - INFO - __main__ - f1_2 = 0.055944055944055944
11/03/2023 12:17:04 - INFO - __main__ - macro_f1 = 0.285628780328427
11/03/2023 12:17:04 - INFO - __main__ - num = 527
11/03/2023 12:17:04 - INFO - __main__ - prec_0 = 0.6854838709677419
11/03/2023 12:17:04 - INFO - __main__ - prec_1 = 0.0
11/03/2023 12:17:04 - INFO - __main__ - prec_2 = 0.6666666666666666
11/03/2023 12:17:04 - INFO - __main__ - rec_0 = 0.9631728045325779
11/03/2023 12:17:04 - INFO - __main__ - rec_1 = 0.0
11/03/2023 12:17:04 - INFO - __main__ - rec_2 = 0.029197080291970802
11/03/2023 12:17:04 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:17:04 - INFO - __main__ - ***** Running evaluation 140 *****
11/03/2023 12:17:04 - INFO - __main__ - Num examples = 326
11/03/2023 12:17:04 - INFO - __main__ - Batch size = 8
11/03/2023 12:17:08 - INFO - __main__ - ***** Eval results 140 *****
11/03/2023 12:17:08 - INFO - __main__ - acc = 0.6625766871165644
11/03/2023 12:17:08 - INFO - __main__ - correct = 216
11/03/2023 12:17:08 - INFO - __main__ - f1_0 = 0.805243445692884
11/03/2023 12:17:08 - INFO - __main__ - f1_1 = 0
11/03/2023 12:17:08 - INFO - __main__ - f1_2 = 0.02531645569620253
11/03/2023 12:17:08 - INFO - __main__ - macro_f1 = 0.27685330046302886
11/03/2023 12:17:08 - INFO - __main__ - num = 326
11/03/2023 12:17:08 - INFO - __main__ - prec_0 = 0.6913183279742765
11/03/2023 12:17:08 - INFO - __main__ - prec_1 = 0.0
11/03/2023 12:17:08 - INFO - __main__ - prec_2 = 0.16666666666666666
11/03/2023 12:17:08 - INFO - __main__ - rec_0 = 0.9641255605381166
11/03/2023 12:17:08 - INFO - __main__ - rec_1 = 0.0
11/03/2023 12:17:08 - INFO - __main__ - rec_2 = 0.0136986301369863
11/03/2023 12:17:08 - INFO - __main__ - Dev accuracy = 0.6625766871165644
11/03/2023 12:17:19 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:17:19 - INFO - __main__ - ***** Running evaluation checkpoint-160 *****
11/03/2023 12:17:19 - INFO - __main__ - Num examples = 527
11/03/2023 12:17:19 - INFO - __main__ - Batch size = 8
11/03/2023 12:17:25 - INFO - __main__ - ***** Eval results checkpoint-160 *****
11/03/2023 12:17:25 - INFO - __main__ - acc = 0.6850094876660342
11/03/2023 12:17:25 - INFO - __main__ - correct = 361
11/03/2023 12:17:25 - INFO - __main__ - f1_0 = 0.8111239860950175
11/03/2023 12:17:25 - INFO - __main__ - f1_1 = 0
11/03/2023 12:17:25 - INFO - __main__ - f1_2 = 0.14666666666666667
11/03/2023 12:17:25 - INFO - __main__ - macro_f1 = 0.3192635509205614
11/03/2023 12:17:25 - INFO - __main__ - num = 527
11/03/2023 12:17:25 - INFO - __main__ - prec_0 = 0.6862745098039216
11/03/2023 12:17:25 - INFO - __main__ - prec_1 = 0.0
11/03/2023 12:17:25 - INFO - __main__ - prec_2 = 0.8461538461538461
11/03/2023 12:17:25 - INFO - __main__ - rec_0 = 0.9915014164305949
11/03/2023 12:17:25 - INFO - __main__ - rec_1 = 0.0
11/03/2023 12:17:25 - INFO - __main__ - rec_2 = 0.08029197080291971
11/03/2023 12:17:25 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:17:25 - INFO - __main__ - ***** Running evaluation 160 *****
11/03/2023 12:17:25 - INFO - __main__ - Num examples = 326
11/03/2023 12:17:25 - INFO - __main__ - Batch size = 8
11/03/2023 12:17:29 - INFO - __main__ - ***** Eval results 160 *****
11/03/2023 12:17:29 - INFO - __main__ - acc = 0.6840490797546013
11/03/2023 12:17:29 - INFO - __main__ - correct = 223
11/03/2023 12:17:29 - INFO - __main__ - f1_0 = 0.8133086876155268
11/03/2023 12:17:29 - INFO - __main__ - f1_1 = 0
11/03/2023 12:17:29 - INFO - __main__ - f1_2 = 0.0759493670886076
11/03/2023 12:17:29 - INFO - __main__ - macro_f1 = 0.2964193515680448
11/03/2023 12:17:29 - INFO - __main__ - num = 326
11/03/2023 12:17:29 - INFO - __main__ - prec_0 = 0.6918238993710691
11/03/2023 12:17:29 - INFO - __main__ - prec_1 = 0.0
11/03/2023 12:17:29 - INFO - __main__ - prec_2 = 0.5
11/03/2023 12:17:29 - INFO - __main__ - rec_0 = 0.9865470852017937
11/03/2023 12:17:29 - INFO - __main__ - rec_1 = 0.0
11/03/2023 12:17:29 - INFO - __main__ - rec_2 = 0.0410958904109589
11/03/2023 12:17:29 - INFO - __main__ - Dev accuracy = 0.6840490797546013
11/03/2023 12:17:40 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:17:40 - INFO - __main__ - ***** Running evaluation checkpoint-180 *****
11/03/2023 12:17:40 - INFO - __main__ - Num examples = 527
11/03/2023 12:17:40 - INFO - __main__ - Batch size = 8
11/03/2023 12:17:47 - INFO - __main__ - ***** Eval results checkpoint-180 *****
11/03/2023 12:17:47 - INFO - __main__ - acc = 0.6679316888045541
11/03/2023 12:17:47 - INFO - __main__ - correct = 352
11/03/2023 12:17:47 - INFO - __main__ - f1_0 = 0.7854137447405329
11/03/2023 12:17:47 - INFO - __main__ - f1_1 = 0.09836065573770492
11/03/2023 12:17:47 - INFO - __main__ - f1_2 = 0.4928571428571429
11/03/2023 12:17:47 - INFO - __main__ - macro_f1 = 0.4588771811117936
11/03/2023 12:17:47 - INFO - __main__ - num = 527
11/03/2023 12:17:47 - INFO - __main__ - prec_0 = 0.7777777777777778
11/03/2023 12:17:47 - INFO - __main__ - prec_1 = 0.125
11/03/2023 12:17:47 - INFO - __main__ - prec_2 = 0.4825174825174825
11/03/2023 12:17:47 - INFO - __main__ - rec_0 = 0.7932011331444759
11/03/2023 12:17:47 - INFO - __main__ - rec_1 = 0.08108108108108109
11/03/2023 12:17:47 - INFO - __main__ - rec_2 = 0.5036496350364964
11/03/2023 12:17:47 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:17:47 - INFO - __main__ - ***** Running evaluation 180 *****
11/03/2023 12:17:47 - INFO - __main__ - Num examples = 326
11/03/2023 12:17:47 - INFO - __main__ - Batch size = 8
11/03/2023 12:17:50 - INFO - __main__ - ***** Eval results 180 *****
11/03/2023 12:17:50 - INFO - __main__ - acc = 0.6779141104294478
11/03/2023 12:17:50 - INFO - __main__ - correct = 221
11/03/2023 12:17:50 - INFO - __main__ - f1_0 = 0.8017241379310345
11/03/2023 12:17:50 - INFO - __main__ - f1_1 = 0
11/03/2023 12:17:50 - INFO - __main__ - f1_2 = 0.4430379746835443
11/03/2023 12:17:50 - INFO - __main__ - macro_f1 = 0.41492070420485955
11/03/2023 12:17:50 - INFO - __main__ - num = 326
11/03/2023 12:17:50 - INFO - __main__ - prec_0 = 0.7717842323651453
11/03/2023 12:17:50 - INFO - __main__ - prec_1 = 0.0
11/03/2023 12:17:50 - INFO - __main__ - prec_2 = 0.4117647058823529
11/03/2023 12:17:50 - INFO - __main__ - rec_0 = 0.8340807174887892
11/03/2023 12:17:50 - INFO - __main__ - rec_1 = 0.0
11/03/2023 12:17:50 - INFO - __main__ - rec_2 = 0.4794520547945205
11/03/2023 12:17:50 - INFO - __main__ - Dev accuracy = 0.6779141104294478
11/03/2023 12:18:02 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:18:02 - INFO - __main__ - ***** Running evaluation checkpoint-200 *****
11/03/2023 12:18:02 - INFO - __main__ - Num examples = 527
11/03/2023 12:18:02 - INFO - __main__ - Batch size = 8
11/03/2023 12:18:08 - INFO - __main__ - ***** Eval results checkpoint-200 *****
11/03/2023 12:18:08 - INFO - __main__ - acc = 0.6584440227703985
11/03/2023 12:18:08 - INFO - __main__ - correct = 347
11/03/2023 12:18:08 - INFO - __main__ - f1_0 = 0.8197530864197531
11/03/2023 12:18:08 - INFO - __main__ - f1_1 = 0.14583333333333334
11/03/2023 12:18:08 - INFO - __main__ - f1_2 = 0.1081081081081081
11/03/2023 12:18:08 - INFO - __main__ - macro_f1 = 0.35789817595373147
11/03/2023 12:18:08 - INFO - __main__ - num = 527
11/03/2023 12:18:08 - INFO - __main__ - prec_0 = 0.7264770240700219
11/03/2023 12:18:08 - INFO - __main__ - prec_1 = 0.11864406779661017
11/03/2023 12:18:08 - INFO - __main__ - prec_2 = 0.7272727272727273
11/03/2023 12:18:08 - INFO - __main__ - rec_0 = 0.9405099150141643
11/03/2023 12:18:08 - INFO - __main__ - rec_1 = 0.1891891891891892
11/03/2023 12:18:08 - INFO - __main__ - rec_2 = 0.058394160583941604
11/03/2023 12:18:08 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:18:08 - INFO - __main__ - ***** Running evaluation 200 *****
11/03/2023 12:18:08 - INFO - __main__ - Num examples = 326
11/03/2023 12:18:08 - INFO - __main__ - Batch size = 8
11/03/2023 12:18:12 - INFO - __main__ - ***** Eval results 200 *****
11/03/2023 12:18:12 - INFO - __main__ - acc = 0.6779141104294478
11/03/2023 12:18:12 - INFO - __main__ - correct = 221
11/03/2023 12:18:12 - INFO - __main__ - f1_0 = 0.8171206225680934
11/03/2023 12:18:12 - INFO - __main__ - f1_1 = 0.045454545454545456
11/03/2023 12:18:12 - INFO - __main__ - f1_2 = 0.2127659574468085
11/03/2023 12:18:12 - INFO - __main__ - macro_f1 = 0.3584470418231491
11/03/2023 12:18:12 - INFO - __main__ - num = 326
11/03/2023 12:18:12 - INFO - __main__ - prec_0 = 0.7216494845360825
11/03/2023 12:18:12 - INFO - __main__ - prec_1 = 0.07142857142857142
11/03/2023 12:18:12 - INFO - __main__ - prec_2 = 0.47619047619047616
11/03/2023 12:18:12 - INFO - __main__ - rec_0 = 0.9417040358744395
11/03/2023 12:18:12 - INFO - __main__ - rec_1 = 0.03333333333333333
11/03/2023 12:18:12 - INFO - __main__ - rec_2 = 0.136986301369863
11/03/2023 12:18:12 - INFO - __main__ - Dev accuracy = 0.6779141104294478
11/03/2023 12:18:23 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:18:23 - INFO - __main__ - ***** Running evaluation checkpoint-220 *****
11/03/2023 12:18:23 - INFO - __main__ - Num examples = 527
11/03/2023 12:18:23 - INFO - __main__ - Batch size = 8
11/03/2023 12:18:29 - INFO - __main__ - ***** Eval results checkpoint-220 *****
11/03/2023 12:18:29 - INFO - __main__ - acc = 0.6204933586337761
11/03/2023 12:18:29 - INFO - __main__ - correct = 327
11/03/2023 12:18:29 - INFO - __main__ - f1_0 = 0.7936085219707057
11/03/2023 12:18:29 - INFO - __main__ - f1_1 = 0.1076923076923077
11/03/2023 12:18:29 - INFO - __main__ - f1_2 = 0.2543352601156069
11/03/2023 12:18:29 - INFO - __main__ - macro_f1 = 0.3852120299262068
11/03/2023 12:18:29 - INFO - __main__ - num = 527
11/03/2023 12:18:29 - INFO - __main__ - prec_0 = 0.7487437185929648
11/03/2023 12:18:29 - INFO - __main__ - prec_1 = 0.07526881720430108
11/03/2023 12:18:29 - INFO - __main__ - prec_2 = 0.6111111111111112
11/03/2023 12:18:29 - INFO - __main__ - rec_0 = 0.8441926345609065
11/03/2023 12:18:29 - INFO - __main__ - rec_1 = 0.1891891891891892
11/03/2023 12:18:29 - INFO - __main__ - rec_2 = 0.16058394160583941
11/03/2023 12:18:29 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:18:29 - INFO - __main__ - ***** Running evaluation 220 *****
11/03/2023 12:18:29 - INFO - __main__ - Num examples = 326
11/03/2023 12:18:29 - INFO - __main__ - Batch size = 8
11/03/2023 12:18:33 - INFO - __main__ - ***** Eval results 220 *****
11/03/2023 12:18:33 - INFO - __main__ - acc = 0.6717791411042945
11/03/2023 12:18:33 - INFO - __main__ - correct = 219
11/03/2023 12:18:33 - INFO - __main__ - f1_0 = 0.8140495867768596
11/03/2023 12:18:33 - INFO - __main__ - f1_1 = 0.10714285714285714
11/03/2023 12:18:33 - INFO - __main__ - f1_2 = 0.33928571428571425
11/03/2023 12:18:33 - INFO - __main__ - macro_f1 = 0.42015938606847697
11/03/2023 12:18:33 - INFO - __main__ - num = 326
11/03/2023 12:18:33 - INFO - __main__ - prec_0 = 0.7547892720306514
11/03/2023 12:18:33 - INFO - __main__ - prec_1 = 0.11538461538461539
11/03/2023 12:18:33 - INFO - __main__ - prec_2 = 0.48717948717948717
11/03/2023 12:18:33 - INFO - __main__ - rec_0 = 0.8834080717488789
11/03/2023 12:18:33 - INFO - __main__ - rec_1 = 0.1
11/03/2023 12:18:33 - INFO - __main__ - rec_2 = 0.2602739726027397
11/03/2023 12:18:33 - INFO - __main__ - Dev accuracy = 0.6717791411042945
11/03/2023 12:18:45 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:18:45 - INFO - __main__ - ***** Running evaluation checkpoint-240 *****
11/03/2023 12:18:45 - INFO - __main__ - Num examples = 527
11/03/2023 12:18:45 - INFO - __main__ - Batch size = 8
11/03/2023 12:18:51 - INFO - __main__ - ***** Eval results checkpoint-240 *****
11/03/2023 12:18:51 - INFO - __main__ - acc = 0.7020872865275142
11/03/2023 12:18:51 - INFO - __main__ - correct = 370
11/03/2023 12:18:51 - INFO - __main__ - f1_0 = 0.8100263852242745
11/03/2023 12:18:51 - INFO - __main__ - f1_1 = 0.163265306122449
11/03/2023 12:18:51 - INFO - __main__ - f1_2 = 0.47773279352226716
11/03/2023 12:18:51 - INFO - __main__ - macro_f1 = 0.4836748282896635
11/03/2023 12:18:51 - INFO - __main__ - num = 527
11/03/2023 12:18:51 - INFO - __main__ - prec_0 = 0.7580246913580246
11/03/2023 12:18:51 - INFO - __main__ - prec_1 = 0.3333333333333333
11/03/2023 12:18:51 - INFO - __main__ - prec_2 = 0.5363636363636364
11/03/2023 12:18:51 - INFO - __main__ - rec_0 = 0.8696883852691218
11/03/2023 12:18:51 - INFO - __main__ - rec_1 = 0.10810810810810811
11/03/2023 12:18:51 - INFO - __main__ - rec_2 = 0.4306569343065693
11/03/2023 12:18:51 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:18:51 - INFO - __main__ - ***** Running evaluation 240 *****
11/03/2023 12:18:51 - INFO - __main__ - Num examples = 326
11/03/2023 12:18:51 - INFO - __main__ - Batch size = 8
11/03/2023 12:18:55 - INFO - __main__ - ***** Eval results 240 *****
11/03/2023 12:18:55 - INFO - __main__ - acc = 0.6748466257668712
11/03/2023 12:18:55 - INFO - __main__ - correct = 220
11/03/2023 12:18:55 - INFO - __main__ - f1_0 = 0.7965738758029978
11/03/2023 12:18:55 - INFO - __main__ - f1_1 = 0
11/03/2023 12:18:55 - INFO - __main__ - f1_2 = 0.44155844155844154
11/03/2023 12:18:55 - INFO - __main__ - macro_f1 = 0.4127107724538131
11/03/2023 12:18:55 - INFO - __main__ - num = 326
11/03/2023 12:18:55 - INFO - __main__ - prec_0 = 0.7622950819672131
11/03/2023 12:18:55 - INFO - __main__ - prec_1 = 0.0
11/03/2023 12:18:55 - INFO - __main__ - prec_2 = 0.41975308641975306
11/03/2023 12:18:55 - INFO - __main__ - rec_0 = 0.8340807174887892
11/03/2023 12:18:55 - INFO - __main__ - rec_1 = 0.0
11/03/2023 12:18:55 - INFO - __main__ - rec_2 = 0.4657534246575342
11/03/2023 12:18:55 - INFO - __main__ - Dev accuracy = 0.6748466257668712
11/03/2023 12:19:06 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:19:06 - INFO - __main__ - ***** Running evaluation checkpoint-260 *****
11/03/2023 12:19:06 - INFO - __main__ - Num examples = 527
11/03/2023 12:19:06 - INFO - __main__ - Batch size = 8
11/03/2023 12:19:12 - INFO - __main__ - ***** Eval results checkpoint-260 *****
11/03/2023 12:19:12 - INFO - __main__ - acc = 0.681214421252372
11/03/2023 12:19:12 - INFO - __main__ - correct = 359
11/03/2023 12:19:12 - INFO - __main__ - f1_0 = 0.8288973384030418
11/03/2023 12:19:12 - INFO - __main__ - f1_1 = 0.11363636363636365
11/03/2023 12:19:12 - INFO - __main__ - f1_2 = 0.3050847457627119
11/03/2023 12:19:12 - INFO - __main__ - macro_f1 = 0.4158728159340391
11/03/2023 12:19:12 - INFO - __main__ - num = 527
11/03/2023 12:19:12 - INFO - __main__ - prec_0 = 0.75
11/03/2023 12:19:12 - INFO - __main__ - prec_1 = 0.09803921568627451
11/03/2023 12:19:12 - INFO - __main__ - prec_2 = 0.675
11/03/2023 12:19:12 - INFO - __main__ - rec_0 = 0.9263456090651558
11/03/2023 12:19:12 - INFO - __main__ - rec_1 = 0.13513513513513514
11/03/2023 12:19:12 - INFO - __main__ - rec_2 = 0.19708029197080293
11/03/2023 12:19:12 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:19:12 - INFO - __main__ - ***** Running evaluation 260 *****
11/03/2023 12:19:12 - INFO - __main__ - Num examples = 326
11/03/2023 12:19:12 - INFO - __main__ - Batch size = 8
11/03/2023 12:19:16 - INFO - __main__ - ***** Eval results 260 *****
11/03/2023 12:19:16 - INFO - __main__ - acc = 0.6748466257668712
11/03/2023 12:19:16 - INFO - __main__ - correct = 220
11/03/2023 12:19:16 - INFO - __main__ - f1_0 = 0.8128772635814889
11/03/2023 12:19:16 - INFO - __main__ - f1_1 = 0.04761904761904761
11/03/2023 12:19:16 - INFO - __main__ - f1_2 = 0.3008849557522124
11/03/2023 12:19:16 - INFO - __main__ - macro_f1 = 0.3871270889842496
11/03/2023 12:19:16 - INFO - __main__ - num = 326
11/03/2023 12:19:16 - INFO - __main__ - prec_0 = 0.7372262773722628
11/03/2023 12:19:16 - INFO - __main__ - prec_1 = 0.08333333333333333
11/03/2023 12:19:16 - INFO - __main__ - prec_2 = 0.425
11/03/2023 12:19:16 - INFO - __main__ - rec_0 = 0.905829596412556
11/03/2023 12:19:16 - INFO - __main__ - rec_1 = 0.03333333333333333
11/03/2023 12:19:16 - INFO - __main__ - rec_2 = 0.2328767123287671
11/03/2023 12:19:16 - INFO - __main__ - Dev accuracy = 0.6748466257668712
11/03/2023 12:19:27 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:19:28 - INFO - __main__ - ***** Running evaluation checkpoint-280 *****
11/03/2023 12:19:28 - INFO - __main__ - Num examples = 527
11/03/2023 12:19:28 - INFO - __main__ - Batch size = 8
11/03/2023 12:19:34 - INFO - __main__ - ***** Eval results checkpoint-280 *****
11/03/2023 12:19:34 - INFO - __main__ - acc = 0.6679316888045541
11/03/2023 12:19:34 - INFO - __main__ - correct = 352
11/03/2023 12:19:34 - INFO - __main__ - f1_0 = 0.8156956004756243
11/03/2023 12:19:34 - INFO - __main__ - f1_1 = 0.030303030303030304
11/03/2023 12:19:34 - INFO - __main__ - f1_2 = 0.10884353741496598
11/03/2023 12:19:34 - INFO - __main__ - macro_f1 = 0.31828072273120683
11/03/2023 12:19:34 - INFO - __main__ - num = 527
11/03/2023 12:19:34 - INFO - __main__ - prec_0 = 0.7028688524590164
11/03/2023 12:19:34 - INFO - __main__ - prec_1 = 0.034482758620689655
11/03/2023 12:19:34 - INFO - __main__ - prec_2 = 0.8
11/03/2023 12:19:34 - INFO - __main__ - rec_0 = 0.9716713881019831
11/03/2023 12:19:34 - INFO - __main__ - rec_1 = 0.02702702702702703
11/03/2023 12:19:34 - INFO - __main__ - rec_2 = 0.058394160583941604
11/03/2023 12:19:34 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:19:34 - INFO - __main__ - ***** Running evaluation 280 *****
11/03/2023 12:19:34 - INFO - __main__ - Num examples = 326
11/03/2023 12:19:34 - INFO - __main__ - Batch size = 8
11/03/2023 12:19:37 - INFO - __main__ - ***** Eval results 280 *****
11/03/2023 12:19:37 - INFO - __main__ - acc = 0.6840490797546013
11/03/2023 12:19:37 - INFO - __main__ - correct = 223
11/03/2023 12:19:37 - INFO - __main__ - f1_0 = 0.8105065666041276
11/03/2023 12:19:37 - INFO - __main__ - f1_1 = 0.058823529411764705
11/03/2023 12:19:37 - INFO - __main__ - f1_2 = 0.1411764705882353
11/03/2023 12:19:37 - INFO - __main__ - macro_f1 = 0.33683552220137586
11/03/2023 12:19:37 - INFO - __main__ - num = 326
11/03/2023 12:19:37 - INFO - __main__ - prec_0 = 0.6967741935483871
11/03/2023 12:19:37 - INFO - __main__ - prec_1 = 0.25
11/03/2023 12:19:37 - INFO - __main__ - prec_2 = 0.5
11/03/2023 12:19:37 - INFO - __main__ - rec_0 = 0.968609865470852
11/03/2023 12:19:37 - INFO - __main__ - rec_1 = 0.03333333333333333
11/03/2023 12:19:37 - INFO - __main__ - rec_2 = 0.0821917808219178
11/03/2023 12:19:37 - INFO - __main__ - Dev accuracy = 0.6840490797546013
11/03/2023 12:19:49 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:19:49 - INFO - __main__ - ***** Running evaluation checkpoint-300 *****
11/03/2023 12:19:49 - INFO - __main__ - Num examples = 527
11/03/2023 12:19:49 - INFO - __main__ - Batch size = 8
11/03/2023 12:19:55 - INFO - __main__ - ***** Eval results checkpoint-300 *****
11/03/2023 12:19:55 - INFO - __main__ - acc = 0.6679316888045541
11/03/2023 12:19:55 - INFO - __main__ - correct = 352
11/03/2023 12:19:55 - INFO - __main__ - f1_0 = 0.8335451080050825
11/03/2023 12:19:55 - INFO - __main__ - f1_1 = 0.11538461538461539
11/03/2023 12:19:55 - INFO - __main__ - f1_2 = 0.22085889570552145
11/03/2023 12:19:55 - INFO - __main__ - macro_f1 = 0.38992953969840644
11/03/2023 12:19:55 - INFO - __main__ - num = 527
11/03/2023 12:19:55 - INFO - __main__ - prec_0 = 0.7557603686635944
11/03/2023 12:19:55 - INFO - __main__ - prec_1 = 0.08955223880597014
11/03/2023 12:19:55 - INFO - __main__ - prec_2 = 0.6923076923076923
11/03/2023 12:19:55 - INFO - __main__ - rec_0 = 0.9291784702549575
11/03/2023 12:19:55 - INFO - __main__ - rec_1 = 0.16216216216216217
11/03/2023 12:19:55 - INFO - __main__ - rec_2 = 0.13138686131386862
11/03/2023 12:19:55 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:19:55 - INFO - __main__ - ***** Running evaluation 300 *****
11/03/2023 12:19:55 - INFO - __main__ - Num examples = 326
11/03/2023 12:19:55 - INFO - __main__ - Batch size = 8
11/03/2023 12:19:59 - INFO - __main__ - ***** Eval results 300 *****
11/03/2023 12:19:59 - INFO - __main__ - acc = 0.6871165644171779
11/03/2023 12:19:59 - INFO - __main__ - correct = 224
11/03/2023 12:19:59 - INFO - __main__ - f1_0 = 0.8249496981891348
11/03/2023 12:19:59 - INFO - __main__ - f1_1 = 0.12
11/03/2023 12:19:59 - INFO - __main__ - f1_2 = 0.30476190476190473
11/03/2023 12:19:59 - INFO - __main__ - macro_f1 = 0.4165705343170132
11/03/2023 12:19:59 - INFO - __main__ - num = 326
11/03/2023 12:19:59 - INFO - __main__ - prec_0 = 0.7481751824817519
11/03/2023 12:19:59 - INFO - __main__ - prec_1 = 0.15
11/03/2023 12:19:59 - INFO - __main__ - prec_2 = 0.5
11/03/2023 12:19:59 - INFO - __main__ - rec_0 = 0.9192825112107623
11/03/2023 12:19:59 - INFO - __main__ - rec_1 = 0.1
11/03/2023 12:19:59 - INFO - __main__ - rec_2 = 0.2191780821917808
11/03/2023 12:19:59 - INFO - __main__ - Dev accuracy = 0.6871165644171779
11/03/2023 12:19:59 - INFO - __main__ - result['acc']=0.6871165644171779 > best_score=0.6840490797546013
11/03/2023 12:20:00 - INFO - __main__ - Saving model checkpoint to ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//checkpoint-best
11/03/2023 12:20:03 - INFO - __main__ - Saving optimizer and scheduler states to ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//checkpoint-best
11/03/2023 12:20:14 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:20:14 - INFO - __main__ - ***** Running evaluation checkpoint-320 *****
11/03/2023 12:20:14 - INFO - __main__ - Num examples = 527
11/03/2023 12:20:14 - INFO - __main__ - Batch size = 8
11/03/2023 12:20:20 - INFO - __main__ - ***** Eval results checkpoint-320 *****
11/03/2023 12:20:20 - INFO - __main__ - acc = 0.7001897533206831
11/03/2023 12:20:20 - INFO - __main__ - correct = 369
11/03/2023 12:20:20 - INFO - __main__ - f1_0 = 0.8245192307692307
11/03/2023 12:20:20 - INFO - __main__ - f1_1 = 0.11320754716981132
11/03/2023 12:20:20 - INFO - __main__ - f1_2 = 0.272189349112426
11/03/2023 12:20:20 - INFO - __main__ - macro_f1 = 0.4033053756838227
11/03/2023 12:20:20 - INFO - __main__ - num = 527
11/03/2023 12:20:20 - INFO - __main__ - prec_0 = 0.7160751565762005
11/03/2023 12:20:20 - INFO - __main__ - prec_1 = 0.1875
11/03/2023 12:20:20 - INFO - __main__ - prec_2 = 0.71875
11/03/2023 12:20:20 - INFO - __main__ - rec_0 = 0.9716713881019831
11/03/2023 12:20:20 - INFO - __main__ - rec_1 = 0.08108108108108109
11/03/2023 12:20:20 - INFO - __main__ - rec_2 = 0.1678832116788321
11/03/2023 12:20:20 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:20:20 - INFO - __main__ - ***** Running evaluation 320 *****
11/03/2023 12:20:20 - INFO - __main__ - Num examples = 326
11/03/2023 12:20:20 - INFO - __main__ - Batch size = 8
11/03/2023 12:20:24 - INFO - __main__ - ***** Eval results 320 *****
11/03/2023 12:20:24 - INFO - __main__ - acc = 0.6932515337423313
11/03/2023 12:20:24 - INFO - __main__ - correct = 226
11/03/2023 12:20:24 - INFO - __main__ - f1_0 = 0.8172888015717092
11/03/2023 12:20:24 - INFO - __main__ - f1_1 = 0.05714285714285715
11/03/2023 12:20:24 - INFO - __main__ - f1_2 = 0.3148148148148148
11/03/2023 12:20:24 - INFO - __main__ - macro_f1 = 0.3964154911764604
11/03/2023 12:20:24 - INFO - __main__ - num = 326
11/03/2023 12:20:24 - INFO - __main__ - prec_0 = 0.7272727272727273
11/03/2023 12:20:24 - INFO - __main__ - prec_1 = 0.2
11/03/2023 12:20:24 - INFO - __main__ - prec_2 = 0.4857142857142857
11/03/2023 12:20:24 - INFO - __main__ - rec_0 = 0.9327354260089686
11/03/2023 12:20:24 - INFO - __main__ - rec_1 = 0.03333333333333333
11/03/2023 12:20:24 - INFO - __main__ - rec_2 = 0.2328767123287671
11/03/2023 12:20:24 - INFO - __main__ - Dev accuracy = 0.6932515337423313
11/03/2023 12:20:24 - INFO - __main__ - result['acc']=0.6932515337423313 > best_score=0.6871165644171779
11/03/2023 12:20:25 - INFO - __main__ - Saving model checkpoint to ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//checkpoint-best
11/03/2023 12:20:28 - INFO - __main__ - Saving optimizer and scheduler states to ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//checkpoint-best
11/03/2023 12:20:39 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:20:39 - INFO - __main__ - ***** Running evaluation checkpoint-340 *****
11/03/2023 12:20:39 - INFO - __main__ - Num examples = 527
11/03/2023 12:20:39 - INFO - __main__ - Batch size = 8
11/03/2023 12:20:45 - INFO - __main__ - ***** Eval results checkpoint-340 *****
11/03/2023 12:20:45 - INFO - __main__ - acc = 0.6888045540796964
11/03/2023 12:20:45 - INFO - __main__ - correct = 363
11/03/2023 12:20:45 - INFO - __main__ - f1_0 = 0.8244274809160306
11/03/2023 12:20:45 - INFO - __main__ - f1_1 = 0.136986301369863
11/03/2023 12:20:45 - INFO - __main__ - f1_2 = 0.3487179487179487
11/03/2023 12:20:45 - INFO - __main__ - macro_f1 = 0.43671057700128074
11/03/2023 12:20:45 - INFO - __main__ - num = 527
11/03/2023 12:20:45 - INFO - __main__ - prec_0 = 0.7482678983833718
11/03/2023 12:20:45 - INFO - __main__ - prec_1 = 0.1388888888888889
11/03/2023 12:20:45 - INFO - __main__ - prec_2 = 0.5862068965517241
11/03/2023 12:20:45 - INFO - __main__ - rec_0 = 0.9178470254957507
11/03/2023 12:20:45 - INFO - __main__ - rec_1 = 0.13513513513513514
11/03/2023 12:20:45 - INFO - __main__ - rec_2 = 0.24817518248175183
11/03/2023 12:20:45 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:20:45 - INFO - __main__ - ***** Running evaluation 340 *****
11/03/2023 12:20:45 - INFO - __main__ - Num examples = 326
11/03/2023 12:20:45 - INFO - __main__ - Batch size = 8
11/03/2023 12:20:49 - INFO - __main__ - ***** Eval results 340 *****
11/03/2023 12:20:49 - INFO - __main__ - acc = 0.696319018404908
11/03/2023 12:20:49 - INFO - __main__ - correct = 227
11/03/2023 12:20:49 - INFO - __main__ - f1_0 = 0.8194726166328601
11/03/2023 12:20:49 - INFO - __main__ - f1_1 = 0.1
11/03/2023 12:20:49 - INFO - __main__ - f1_2 = 0.3865546218487395
11/03/2023 12:20:49 - INFO - __main__ - macro_f1 = 0.4353424128271999
11/03/2023 12:20:49 - INFO - __main__ - num = 326
11/03/2023 12:20:49 - INFO - __main__ - prec_0 = 0.7481481481481481
11/03/2023 12:20:49 - INFO - __main__ - prec_1 = 0.2
11/03/2023 12:20:49 - INFO - __main__ - prec_2 = 0.5
11/03/2023 12:20:49 - INFO - __main__ - rec_0 = 0.905829596412556
11/03/2023 12:20:49 - INFO - __main__ - rec_1 = 0.06666666666666667
11/03/2023 12:20:49 - INFO - __main__ - rec_2 = 0.3150684931506849
11/03/2023 12:20:49 - INFO - __main__ - Dev accuracy = 0.696319018404908
11/03/2023 12:20:49 - INFO - __main__ - result['acc']=0.696319018404908 > best_score=0.6932515337423313
11/03/2023 12:20:50 - INFO - __main__ - Saving model checkpoint to ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//checkpoint-best
11/03/2023 12:20:53 - INFO - __main__ - Saving optimizer and scheduler states to ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//checkpoint-best
11/03/2023 12:21:04 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:21:04 - INFO - __main__ - ***** Running evaluation checkpoint-360 *****
11/03/2023 12:21:04 - INFO - __main__ - Num examples = 527
11/03/2023 12:21:04 - INFO - __main__ - Batch size = 8
11/03/2023 12:21:10 - INFO - __main__ - ***** Eval results checkpoint-360 *****
11/03/2023 12:21:10 - INFO - __main__ - acc = 0.6869070208728653
11/03/2023 12:21:10 - INFO - __main__ - correct = 362
11/03/2023 12:21:10 - INFO - __main__ - f1_0 = 0.818840579710145
11/03/2023 12:21:10 - INFO - __main__ - f1_1 = 0.09836065573770492
11/03/2023 12:21:10 - INFO - __main__ - f1_2 = 0.24242424242424243
11/03/2023 12:21:10 - INFO - __main__ - macro_f1 = 0.3865418259573641
11/03/2023 12:21:10 - INFO - __main__ - num = 527
11/03/2023 12:21:10 - INFO - __main__ - prec_0 = 0.7136842105263158
11/03/2023 12:21:10 - INFO - __main__ - prec_1 = 0.125
11/03/2023 12:21:10 - INFO - __main__ - prec_2 = 0.7142857142857143
11/03/2023 12:21:10 - INFO - __main__ - rec_0 = 0.9603399433427762
11/03/2023 12:21:10 - INFO - __main__ - rec_1 = 0.08108108108108109
11/03/2023 12:21:10 - INFO - __main__ - rec_2 = 0.145985401459854
11/03/2023 12:21:10 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:21:10 - INFO - __main__ - ***** Running evaluation 360 *****
11/03/2023 12:21:10 - INFO - __main__ - Num examples = 326
11/03/2023 12:21:10 - INFO - __main__ - Batch size = 8
11/03/2023 12:21:14 - INFO - __main__ - ***** Eval results 360 *****
11/03/2023 12:21:14 - INFO - __main__ - acc = 0.6809815950920245
11/03/2023 12:21:14 - INFO - __main__ - correct = 222
11/03/2023 12:21:14 - INFO - __main__ - f1_0 = 0.8094302554027505
11/03/2023 12:21:14 - INFO - __main__ - f1_1 = 0.0975609756097561
11/03/2023 12:21:14 - INFO - __main__ - f1_2 = 0.27450980392156865
11/03/2023 12:21:14 - INFO - __main__ - macro_f1 = 0.39383367831135835
11/03/2023 12:21:14 - INFO - __main__ - num = 326
11/03/2023 12:21:14 - INFO - __main__ - prec_0 = 0.7202797202797203
11/03/2023 12:21:14 - INFO - __main__ - prec_1 = 0.18181818181818182
11/03/2023 12:21:14 - INFO - __main__ - prec_2 = 0.4827586206896552
11/03/2023 12:21:14 - INFO - __main__ - rec_0 = 0.9237668161434978
11/03/2023 12:21:14 - INFO - __main__ - rec_1 = 0.06666666666666667
11/03/2023 12:21:14 - INFO - __main__ - rec_2 = 0.1917808219178082
11/03/2023 12:21:14 - INFO - __main__ - Dev accuracy = 0.6809815950920245
11/03/2023 12:21:26 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:21:26 - INFO - __main__ - ***** Running evaluation checkpoint-380 *****
11/03/2023 12:21:26 - INFO - __main__ - Num examples = 527
11/03/2023 12:21:26 - INFO - __main__ - Batch size = 8
11/03/2023 12:21:32 - INFO - __main__ - ***** Eval results checkpoint-380 *****
11/03/2023 12:21:32 - INFO - __main__ - acc = 0.6888045540796964
11/03/2023 12:21:32 - INFO - __main__ - correct = 363
11/03/2023 12:21:32 - INFO - __main__ - f1_0 = 0.819047619047619
11/03/2023 12:21:32 - INFO - __main__ - f1_1 = 0.03703703703703704
11/03/2023 12:21:32 - INFO - __main__ - f1_2 = 0.225
11/03/2023 12:21:32 - INFO - __main__ - macro_f1 = 0.3603615520282187
11/03/2023 12:21:32 - INFO - __main__ - num = 527
11/03/2023 12:21:32 - INFO - __main__ - prec_0 = 0.7063655030800822
11/03/2023 12:21:32 - INFO - __main__ - prec_1 = 0.058823529411764705
11/03/2023 12:21:32 - INFO - __main__ - prec_2 = 0.782608695652174
11/03/2023 12:21:32 - INFO - __main__ - rec_0 = 0.9745042492917847
11/03/2023 12:21:32 - INFO - __main__ - rec_1 = 0.02702702702702703
11/03/2023 12:21:32 - INFO - __main__ - rec_2 = 0.13138686131386862
11/03/2023 12:21:32 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:21:32 - INFO - __main__ - ***** Running evaluation 380 *****
11/03/2023 12:21:32 - INFO - __main__ - Num examples = 326
11/03/2023 12:21:32 - INFO - __main__ - Batch size = 8
11/03/2023 12:21:36 - INFO - __main__ - ***** Eval results 380 *****
11/03/2023 12:21:36 - INFO - __main__ - acc = 0.7085889570552147
11/03/2023 12:21:36 - INFO - __main__ - correct = 231
11/03/2023 12:21:36 - INFO - __main__ - f1_0 = 0.8223938223938225
11/03/2023 12:21:36 - INFO - __main__ - f1_1 = 0.11764705882352941
11/03/2023 12:21:36 - INFO - __main__ - f1_2 = 0.32
11/03/2023 12:21:36 - INFO - __main__ - macro_f1 = 0.42001362707245066
11/03/2023 12:21:36 - INFO - __main__ - num = 326
11/03/2023 12:21:36 - INFO - __main__ - prec_0 = 0.7220338983050848
11/03/2023 12:21:36 - INFO - __main__ - prec_1 = 0.5
11/03/2023 12:21:36 - INFO - __main__ - prec_2 = 0.5925925925925926
11/03/2023 12:21:36 - INFO - __main__ - rec_0 = 0.9551569506726457
11/03/2023 12:21:36 - INFO - __main__ - rec_1 = 0.06666666666666667
11/03/2023 12:21:36 - INFO - __main__ - rec_2 = 0.2191780821917808
11/03/2023 12:21:36 - INFO - __main__ - Dev accuracy = 0.7085889570552147
11/03/2023 12:21:36 - INFO - __main__ - result['acc']=0.7085889570552147 > best_score=0.696319018404908
11/03/2023 12:21:37 - INFO - __main__ - Saving model checkpoint to ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//checkpoint-best
11/03/2023 12:21:39 - INFO - __main__ - Saving optimizer and scheduler states to ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//checkpoint-best
11/03/2023 12:21:51 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:21:51 - INFO - __main__ - ***** Running evaluation checkpoint-400 *****
11/03/2023 12:21:51 - INFO - __main__ - Num examples = 527
11/03/2023 12:21:51 - INFO - __main__ - Batch size = 8
11/03/2023 12:21:57 - INFO - __main__ - ***** Eval results checkpoint-400 *****
11/03/2023 12:21:57 - INFO - __main__ - acc = 0.6850094876660342
11/03/2023 12:21:57 - INFO - __main__ - correct = 361
11/03/2023 12:21:57 - INFO - __main__ - f1_0 = 0.8146399055489965
11/03/2023 12:21:57 - INFO - __main__ - f1_1 = 0.04
11/03/2023 12:21:57 - INFO - __main__ - f1_2 = 0.19108280254777074
11/03/2023 12:21:57 - INFO - __main__ - macro_f1 = 0.34857423603225574
11/03/2023 12:21:57 - INFO - __main__ - num = 527
11/03/2023 12:21:57 - INFO - __main__ - prec_0 = 0.6983805668016194
11/03/2023 12:21:57 - INFO - __main__ - prec_1 = 0.07692307692307693
11/03/2023 12:21:57 - INFO - __main__ - prec_2 = 0.75
11/03/2023 12:21:57 - INFO - __main__ - rec_0 = 0.9773371104815864
11/03/2023 12:21:57 - INFO - __main__ - rec_1 = 0.02702702702702703
11/03/2023 12:21:57 - INFO - __main__ - rec_2 = 0.10948905109489052
11/03/2023 12:21:57 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:21:57 - INFO - __main__ - ***** Running evaluation 400 *****
11/03/2023 12:21:57 - INFO - __main__ - Num examples = 326
11/03/2023 12:21:57 - INFO - __main__ - Batch size = 8
11/03/2023 12:22:01 - INFO - __main__ - ***** Eval results 400 *****
11/03/2023 12:22:01 - INFO - __main__ - acc = 0.7085889570552147
11/03/2023 12:22:01 - INFO - __main__ - correct = 231
11/03/2023 12:22:01 - INFO - __main__ - f1_0 = 0.8266666666666668
11/03/2023 12:22:01 - INFO - __main__ - f1_1 = 0.0625
11/03/2023 12:22:01 - INFO - __main__ - f1_2 = 0.2736842105263158
11/03/2023 12:22:01 - INFO - __main__ - macro_f1 = 0.3876169590643275
11/03/2023 12:22:01 - INFO - __main__ - num = 326
11/03/2023 12:22:01 - INFO - __main__ - prec_0 = 0.7185430463576159
11/03/2023 12:22:01 - INFO - __main__ - prec_1 = 0.5
11/03/2023 12:22:01 - INFO - __main__ - prec_2 = 0.5909090909090909
11/03/2023 12:22:01 - INFO - __main__ - rec_0 = 0.9730941704035875
11/03/2023 12:22:01 - INFO - __main__ - rec_1 = 0.03333333333333333
11/03/2023 12:22:01 - INFO - __main__ - rec_2 = 0.1780821917808219
11/03/2023 12:22:01 - INFO - __main__ - Dev accuracy = 0.7085889570552147
11/03/2023 12:22:12 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:22:12 - INFO - __main__ - ***** Running evaluation checkpoint-420 *****
11/03/2023 12:22:12 - INFO - __main__ - Num examples = 527
11/03/2023 12:22:12 - INFO - __main__ - Batch size = 8
11/03/2023 12:22:18 - INFO - __main__ - ***** Eval results checkpoint-420 *****
11/03/2023 12:22:18 - INFO - __main__ - acc = 0.6850094876660342
11/03/2023 12:22:18 - INFO - __main__ - correct = 361
11/03/2023 12:22:18 - INFO - __main__ - f1_0 = 0.8193939393939395
11/03/2023 12:22:18 - INFO - __main__ - f1_1 = 0.06153846153846154
11/03/2023 12:22:18 - INFO - __main__ - f1_2 = 0.25609756097560976
11/03/2023 12:22:18 - INFO - __main__ - macro_f1 = 0.3790099873026702
11/03/2023 12:22:18 - INFO - __main__ - num = 527
11/03/2023 12:22:18 - INFO - __main__ - prec_0 = 0.7161016949152542
11/03/2023 12:22:18 - INFO - __main__ - prec_1 = 0.07142857142857142
11/03/2023 12:22:18 - INFO - __main__ - prec_2 = 0.7777777777777778
11/03/2023 12:22:18 - INFO - __main__ - rec_0 = 0.9575070821529745
11/03/2023 12:22:18 - INFO - __main__ - rec_1 = 0.05405405405405406
11/03/2023 12:22:18 - INFO - __main__ - rec_2 = 0.15328467153284672
11/03/2023 12:22:18 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:22:18 - INFO - __main__ - ***** Running evaluation 420 *****
11/03/2023 12:22:18 - INFO - __main__ - Num examples = 326
11/03/2023 12:22:18 - INFO - __main__ - Batch size = 8
11/03/2023 12:22:22 - INFO - __main__ - ***** Eval results 420 *****
11/03/2023 12:22:22 - INFO - __main__ - acc = 0.6871165644171779
11/03/2023 12:22:22 - INFO - __main__ - correct = 224
11/03/2023 12:22:22 - INFO - __main__ - f1_0 = 0.8219178082191781
11/03/2023 12:22:22 - INFO - __main__ - f1_1 = 0.13043478260869568
11/03/2023 12:22:22 - INFO - __main__ - f1_2 = 0.23157894736842105
11/03/2023 12:22:22 - INFO - __main__ - macro_f1 = 0.3946438460654316
11/03/2023 12:22:22 - INFO - __main__ - num = 326
11/03/2023 12:22:22 - INFO - __main__ - prec_0 = 0.7291666666666666
11/03/2023 12:22:22 - INFO - __main__ - prec_1 = 0.1875
11/03/2023 12:22:22 - INFO - __main__ - prec_2 = 0.5
11/03/2023 12:22:22 - INFO - __main__ - rec_0 = 0.9417040358744395
11/03/2023 12:22:22 - INFO - __main__ - rec_1 = 0.1
11/03/2023 12:22:22 - INFO - __main__ - rec_2 = 0.1506849315068493
11/03/2023 12:22:22 - INFO - __main__ - Dev accuracy = 0.6871165644171779
11/03/2023 12:22:33 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:22:33 - INFO - __main__ - ***** Running evaluation checkpoint-440 *****
11/03/2023 12:22:33 - INFO - __main__ - Num examples = 527
11/03/2023 12:22:33 - INFO - __main__ - Batch size = 8
11/03/2023 12:22:40 - INFO - __main__ - ***** Eval results checkpoint-440 *****
11/03/2023 12:22:40 - INFO - __main__ - acc = 0.6944971537001897
11/03/2023 12:22:40 - INFO - __main__ - correct = 366
11/03/2023 12:22:40 - INFO - __main__ - f1_0 = 0.8177458033573142
11/03/2023 12:22:40 - INFO - __main__ - f1_1 = 0.0784313725490196
11/03/2023 12:22:40 - INFO - __main__ - f1_2 = 0.272189349112426
11/03/2023 12:22:40 - INFO - __main__ - macro_f1 = 0.3894555083395866
11/03/2023 12:22:40 - INFO - __main__ - num = 527
11/03/2023 12:22:40 - INFO - __main__ - prec_0 = 0.7089397089397089
11/03/2023 12:22:40 - INFO - __main__ - prec_1 = 0.14285714285714285
11/03/2023 12:22:40 - INFO - __main__ - prec_2 = 0.71875
11/03/2023 12:22:40 - INFO - __main__ - rec_0 = 0.9660056657223796
11/03/2023 12:22:40 - INFO - __main__ - rec_1 = 0.05405405405405406
11/03/2023 12:22:40 - INFO - __main__ - rec_2 = 0.1678832116788321
11/03/2023 12:22:40 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:22:40 - INFO - __main__ - ***** Running evaluation 440 *****
11/03/2023 12:22:40 - INFO - __main__ - Num examples = 326
11/03/2023 12:22:40 - INFO - __main__ - Batch size = 8
11/03/2023 12:22:43 - INFO - __main__ - ***** Eval results 440 *****
11/03/2023 12:22:43 - INFO - __main__ - acc = 0.6871165644171779
11/03/2023 12:22:43 - INFO - __main__ - correct = 224
11/03/2023 12:22:43 - INFO - __main__ - f1_0 = 0.8146718146718148
11/03/2023 12:22:43 - INFO - __main__ - f1_1 = 0.05405405405405406
11/03/2023 12:22:43 - INFO - __main__ - f1_2 = 0.24742268041237112
11/03/2023 12:22:43 - INFO - __main__ - macro_f1 = 0.3720495163794133
11/03/2023 12:22:43 - INFO - __main__ - num = 326
11/03/2023 12:22:43 - INFO - __main__ - prec_0 = 0.7152542372881356
11/03/2023 12:22:43 - INFO - __main__ - prec_1 = 0.14285714285714285
11/03/2023 12:22:43 - INFO - __main__ - prec_2 = 0.5
11/03/2023 12:22:43 - INFO - __main__ - rec_0 = 0.9461883408071748
11/03/2023 12:22:43 - INFO - __main__ - rec_1 = 0.03333333333333333
11/03/2023 12:22:43 - INFO - __main__ - rec_2 = 0.1643835616438356
11/03/2023 12:22:43 - INFO - __main__ - Dev accuracy = 0.6871165644171779
11/03/2023 12:22:55 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:22:55 - INFO - __main__ - ***** Running evaluation checkpoint-460 *****
11/03/2023 12:22:55 - INFO - __main__ - Num examples = 527
11/03/2023 12:22:55 - INFO - __main__ - Batch size = 8
11/03/2023 12:23:01 - INFO - __main__ - ***** Eval results checkpoint-460 *****
11/03/2023 12:23:01 - INFO - __main__ - acc = 0.683111954459203
11/03/2023 12:23:01 - INFO - __main__ - correct = 360
11/03/2023 12:23:01 - INFO - __main__ - f1_0 = 0.8265682656826568
11/03/2023 12:23:01 - INFO - __main__ - f1_1 = 0.1095890410958904
11/03/2023 12:23:01 - INFO - __main__ - f1_2 = 0.23809523809523808
11/03/2023 12:23:01 - INFO - __main__ - macro_f1 = 0.3914175149579284
11/03/2023 12:23:01 - INFO - __main__ - num = 527
11/03/2023 12:23:01 - INFO - __main__ - prec_0 = 0.7304347826086957
11/03/2023 12:23:01 - INFO - __main__ - prec_1 = 0.1111111111111111
11/03/2023 12:23:01 - INFO - __main__ - prec_2 = 0.6451612903225806
11/03/2023 12:23:01 - INFO - __main__ - rec_0 = 0.9518413597733711
11/03/2023 12:23:01 - INFO - __main__ - rec_1 = 0.10810810810810811
11/03/2023 12:23:01 - INFO - __main__ - rec_2 = 0.145985401459854
11/03/2023 12:23:01 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:23:01 - INFO - __main__ - ***** Running evaluation 460 *****
11/03/2023 12:23:01 - INFO - __main__ - Num examples = 326
11/03/2023 12:23:01 - INFO - __main__ - Batch size = 8
11/03/2023 12:23:05 - INFO - __main__ - ***** Eval results 460 *****
11/03/2023 12:23:05 - INFO - __main__ - acc = 0.7024539877300614
11/03/2023 12:23:05 - INFO - __main__ - correct = 229
11/03/2023 12:23:05 - INFO - __main__ - f1_0 = 0.8383233532934131
11/03/2023 12:23:05 - INFO - __main__ - f1_1 = 0.16
11/03/2023 12:23:05 - INFO - __main__ - f1_2 = 0.297029702970297
11/03/2023 12:23:05 - INFO - __main__ - macro_f1 = 0.4317843520879034
11/03/2023 12:23:05 - INFO - __main__ - num = 326
11/03/2023 12:23:05 - INFO - __main__ - prec_0 = 0.7553956834532374
11/03/2023 12:23:05 - INFO - __main__ - prec_1 = 0.2
11/03/2023 12:23:05 - INFO - __main__ - prec_2 = 0.5357142857142857
11/03/2023 12:23:05 - INFO - __main__ - rec_0 = 0.9417040358744395
11/03/2023 12:23:05 - INFO - __main__ - rec_1 = 0.13333333333333333
11/03/2023 12:23:05 - INFO - __main__ - rec_2 = 0.2054794520547945
11/03/2023 12:23:05 - INFO - __main__ - Dev accuracy = 0.7024539877300614
11/03/2023 12:23:16 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:23:16 - INFO - __main__ - ***** Running evaluation checkpoint-480 *****
11/03/2023 12:23:16 - INFO - __main__ - Num examples = 527
11/03/2023 12:23:16 - INFO - __main__ - Batch size = 8
11/03/2023 12:23:22 - INFO - __main__ - ***** Eval results checkpoint-480 *****
11/03/2023 12:23:22 - INFO - __main__ - acc = 0.6774193548387096
11/03/2023 12:23:22 - INFO - __main__ - correct = 357
11/03/2023 12:23:22 - INFO - __main__ - f1_0 = 0.8192771084337349
11/03/2023 12:23:22 - INFO - __main__ - f1_1 = 0.08823529411764705
11/03/2023 12:23:22 - INFO - __main__ - f1_2 = 0.1794871794871795
11/03/2023 12:23:22 - INFO - __main__ - macro_f1 = 0.3623331940128538
11/03/2023 12:23:22 - INFO - __main__ - num = 527
11/03/2023 12:23:22 - INFO - __main__ - prec_0 = 0.7127882599580713
11/03/2023 12:23:22 - INFO - __main__ - prec_1 = 0.0967741935483871
11/03/2023 12:23:22 - INFO - __main__ - prec_2 = 0.7368421052631579
11/03/2023 12:23:22 - INFO - __main__ - rec_0 = 0.9631728045325779
11/03/2023 12:23:22 - INFO - __main__ - rec_1 = 0.08108108108108109
11/03/2023 12:23:22 - INFO - __main__ - rec_2 = 0.10218978102189781
11/03/2023 12:23:22 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:23:22 - INFO - __main__ - ***** Running evaluation 480 *****
11/03/2023 12:23:22 - INFO - __main__ - Num examples = 326
11/03/2023 12:23:22 - INFO - __main__ - Batch size = 8
11/03/2023 12:23:26 - INFO - __main__ - ***** Eval results 480 *****
11/03/2023 12:23:26 - INFO - __main__ - acc = 0.7055214723926381
11/03/2023 12:23:26 - INFO - __main__ - correct = 230
11/03/2023 12:23:26 - INFO - __main__ - f1_0 = 0.8287937743190661
11/03/2023 12:23:26 - INFO - __main__ - f1_1 = 0.13636363636363638
11/03/2023 12:23:26 - INFO - __main__ - f1_2 = 0.2978723404255319
11/03/2023 12:23:26 - INFO - __main__ - macro_f1 = 0.4210099170360781
11/03/2023 12:23:26 - INFO - __main__ - num = 326
11/03/2023 12:23:26 - INFO - __main__ - prec_0 = 0.7319587628865979
11/03/2023 12:23:26 - INFO - __main__ - prec_1 = 0.21428571428571427
11/03/2023 12:23:26 - INFO - __main__ - prec_2 = 0.6666666666666666
11/03/2023 12:23:26 - INFO - __main__ - rec_0 = 0.9551569506726457
11/03/2023 12:23:26 - INFO - __main__ - rec_1 = 0.1
11/03/2023 12:23:26 - INFO - __main__ - rec_2 = 0.1917808219178082
11/03/2023 12:23:26 - INFO - __main__ - Dev accuracy = 0.7055214723926381
11/03/2023 12:23:38 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:23:38 - INFO - __main__ - ***** Running evaluation checkpoint-500 *****
11/03/2023 12:23:38 - INFO - __main__ - Num examples = 527
11/03/2023 12:23:38 - INFO - __main__ - Batch size = 8
11/03/2023 12:23:44 - INFO - __main__ - ***** Eval results checkpoint-500 *****
11/03/2023 12:23:44 - INFO - __main__ - acc = 0.6963946869070209
11/03/2023 12:23:44 - INFO - __main__ - correct = 367
11/03/2023 12:23:44 - INFO - __main__ - f1_0 = 0.8217821782178218
11/03/2023 12:23:44 - INFO - __main__ - f1_1 = 0.09836065573770492
11/03/2023 12:23:44 - INFO - __main__ - f1_2 = 0.3459459459459459
11/03/2023 12:23:44 - INFO - __main__ - macro_f1 = 0.4220295933004909
11/03/2023 12:23:44 - INFO - __main__ - num = 527
11/03/2023 12:23:44 - INFO - __main__ - prec_0 = 0.7296703296703296
11/03/2023 12:23:44 - INFO - __main__ - prec_1 = 0.125
11/03/2023 12:23:44 - INFO - __main__ - prec_2 = 0.6666666666666666
11/03/2023 12:23:44 - INFO - __main__ - rec_0 = 0.9405099150141643
11/03/2023 12:23:44 - INFO - __main__ - rec_1 = 0.08108108108108109
11/03/2023 12:23:44 - INFO - __main__ - rec_2 = 0.23357664233576642
11/03/2023 12:23:44 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:23:44 - INFO - __main__ - ***** Running evaluation 500 *****
11/03/2023 12:23:44 - INFO - __main__ - Num examples = 326
11/03/2023 12:23:44 - INFO - __main__ - Batch size = 8
11/03/2023 12:23:48 - INFO - __main__ - ***** Eval results 500 *****
11/03/2023 12:23:48 - INFO - __main__ - acc = 0.7055214723926381
11/03/2023 12:23:48 - INFO - __main__ - correct = 230
11/03/2023 12:23:48 - INFO - __main__ - f1_0 = 0.8316831683168316
11/03/2023 12:23:48 - INFO - __main__ - f1_1 = 0.05
11/03/2023 12:23:48 - INFO - __main__ - f1_2 = 0.3551401869158879
11/03/2023 12:23:48 - INFO - __main__ - macro_f1 = 0.4122744517442398
11/03/2023 12:23:48 - INFO - __main__ - num = 326
11/03/2023 12:23:48 - INFO - __main__ - prec_0 = 0.7446808510638298
11/03/2023 12:23:48 - INFO - __main__ - prec_1 = 0.1
11/03/2023 12:23:48 - INFO - __main__ - prec_2 = 0.5588235294117647
11/03/2023 12:23:48 - INFO - __main__ - rec_0 = 0.9417040358744395
11/03/2023 12:23:48 - INFO - __main__ - rec_1 = 0.03333333333333333
11/03/2023 12:23:48 - INFO - __main__ - rec_2 = 0.2602739726027397
11/03/2023 12:23:48 - INFO - __main__ - Dev accuracy = 0.7055214723926381
11/03/2023 12:23:59 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:23:59 - INFO - __main__ - ***** Running evaluation checkpoint-520 *****
11/03/2023 12:23:59 - INFO - __main__ - Num examples = 527
11/03/2023 12:23:59 - INFO - __main__ - Batch size = 8
11/03/2023 12:24:05 - INFO - __main__ - ***** Eval results checkpoint-520 *****
11/03/2023 12:24:05 - INFO - __main__ - acc = 0.6888045540796964
11/03/2023 12:24:05 - INFO - __main__ - correct = 363
11/03/2023 12:24:05 - INFO - __main__ - f1_0 = 0.8264058679706602
11/03/2023 12:24:05 - INFO - __main__ - f1_1 = 0.08823529411764705
11/03/2023 12:24:05 - INFO - __main__ - f1_2 = 0.2619047619047619
11/03/2023 12:24:05 - INFO - __main__ - macro_f1 = 0.3921819746643564
11/03/2023 12:24:05 - INFO - __main__ - num = 527
11/03/2023 12:24:05 - INFO - __main__ - prec_0 = 0.7268817204301076
11/03/2023 12:24:05 - INFO - __main__ - prec_1 = 0.0967741935483871
11/03/2023 12:24:05 - INFO - __main__ - prec_2 = 0.7096774193548387
11/03/2023 12:24:05 - INFO - __main__ - rec_0 = 0.9575070821529745
11/03/2023 12:24:05 - INFO - __main__ - rec_1 = 0.08108108108108109
11/03/2023 12:24:05 - INFO - __main__ - rec_2 = 0.16058394160583941
11/03/2023 12:24:05 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:24:05 - INFO - __main__ - ***** Running evaluation 520 *****
11/03/2023 12:24:05 - INFO - __main__ - Num examples = 326
11/03/2023 12:24:05 - INFO - __main__ - Batch size = 8
11/03/2023 12:24:09 - INFO - __main__ - ***** Eval results 520 *****
11/03/2023 12:24:09 - INFO - __main__ - acc = 0.6993865030674846
11/03/2023 12:24:09 - INFO - __main__ - correct = 228
11/03/2023 12:24:09 - INFO - __main__ - f1_0 = 0.8326848249027237
11/03/2023 12:24:09 - INFO - __main__ - f1_1 = 0.046511627906976744
11/03/2023 12:24:09 - INFO - __main__ - f1_2 = 0.2736842105263158
11/03/2023 12:24:09 - INFO - __main__ - macro_f1 = 0.38429355444533875
11/03/2023 12:24:09 - INFO - __main__ - num = 326
11/03/2023 12:24:09 - INFO - __main__ - prec_0 = 0.7353951890034365
11/03/2023 12:24:09 - INFO - __main__ - prec_1 = 0.07692307692307693
11/03/2023 12:24:09 - INFO - __main__ - prec_2 = 0.5909090909090909
11/03/2023 12:24:09 - INFO - __main__ - rec_0 = 0.9596412556053812
11/03/2023 12:24:09 - INFO - __main__ - rec_1 = 0.03333333333333333
11/03/2023 12:24:09 - INFO - __main__ - rec_2 = 0.1780821917808219
11/03/2023 12:24:09 - INFO - __main__ - Dev accuracy = 0.6993865030674846
11/03/2023 12:24:21 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:24:21 - INFO - __main__ - ***** Running evaluation checkpoint-540 *****
11/03/2023 12:24:21 - INFO - __main__ - Num examples = 527
11/03/2023 12:24:21 - INFO - __main__ - Batch size = 8
11/03/2023 12:24:27 - INFO - __main__ - ***** Eval results checkpoint-540 *****
11/03/2023 12:24:27 - INFO - __main__ - acc = 0.6793168880455408
11/03/2023 12:24:27 - INFO - __main__ - correct = 358
11/03/2023 12:24:27 - INFO - __main__ - f1_0 = 0.8281053952321203
11/03/2023 12:24:27 - INFO - __main__ - f1_1 = 0.11627906976744186
11/03/2023 12:24:27 - INFO - __main__ - f1_2 = 0.26900584795321636
11/03/2023 12:24:27 - INFO - __main__ - macro_f1 = 0.4044634376509262
11/03/2023 12:24:27 - INFO - __main__ - num = 527
11/03/2023 12:24:27 - INFO - __main__ - prec_0 = 0.7432432432432432
11/03/2023 12:24:27 - INFO - __main__ - prec_1 = 0.10204081632653061
11/03/2023 12:24:27 - INFO - __main__ - prec_2 = 0.6764705882352942
11/03/2023 12:24:27 - INFO - __main__ - rec_0 = 0.9348441926345609
11/03/2023 12:24:27 - INFO - __main__ - rec_1 = 0.13513513513513514
11/03/2023 12:24:27 - INFO - __main__ - rec_2 = 0.1678832116788321
11/03/2023 12:24:27 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:24:27 - INFO - __main__ - ***** Running evaluation 540 *****
11/03/2023 12:24:27 - INFO - __main__ - Num examples = 326
11/03/2023 12:24:27 - INFO - __main__ - Batch size = 8
11/03/2023 12:24:31 - INFO - __main__ - ***** Eval results 540 *****
11/03/2023 12:24:31 - INFO - __main__ - acc = 0.7024539877300614
11/03/2023 12:24:31 - INFO - __main__ - correct = 229
11/03/2023 12:24:31 - INFO - __main__ - f1_0 = 0.8343313373253493
11/03/2023 12:24:31 - INFO - __main__ - f1_1 = 0.21276595744680848
11/03/2023 12:24:31 - INFO - __main__ - f1_2 = 0.28846153846153844
11/03/2023 12:24:31 - INFO - __main__ - macro_f1 = 0.4451862777445654
11/03/2023 12:24:31 - INFO - __main__ - num = 326
11/03/2023 12:24:31 - INFO - __main__ - prec_0 = 0.7517985611510791
11/03/2023 12:24:31 - INFO - __main__ - prec_1 = 0.29411764705882354
11/03/2023 12:24:31 - INFO - __main__ - prec_2 = 0.4838709677419355
11/03/2023 12:24:31 - INFO - __main__ - rec_0 = 0.9372197309417041
11/03/2023 12:24:31 - INFO - __main__ - rec_1 = 0.16666666666666666
11/03/2023 12:24:31 - INFO - __main__ - rec_2 = 0.2054794520547945
11/03/2023 12:24:31 - INFO - __main__ - Dev accuracy = 0.7024539877300614
11/03/2023 12:24:42 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:24:42 - INFO - __main__ - ***** Running evaluation checkpoint-560 *****
11/03/2023 12:24:42 - INFO - __main__ - Num examples = 527
11/03/2023 12:24:42 - INFO - __main__ - Batch size = 8
11/03/2023 12:24:48 - INFO - __main__ - ***** Eval results checkpoint-560 *****
11/03/2023 12:24:48 - INFO - __main__ - acc = 0.6963946869070209
11/03/2023 12:24:48 - INFO - __main__ - correct = 367
11/03/2023 12:24:48 - INFO - __main__ - f1_0 = 0.8292079207920793
11/03/2023 12:24:48 - INFO - __main__ - f1_1 = 0.11764705882352941
11/03/2023 12:24:48 - INFO - __main__ - f1_2 = 0.31460674157303375
11/03/2023 12:24:48 - INFO - __main__ - macro_f1 = 0.42048724039621416
11/03/2023 12:24:48 - INFO - __main__ - num = 527
11/03/2023 12:24:48 - INFO - __main__ - prec_0 = 0.7362637362637363
11/03/2023 12:24:48 - INFO - __main__ - prec_1 = 0.12903225806451613
11/03/2023 12:24:48 - INFO - __main__ - prec_2 = 0.6829268292682927
11/03/2023 12:24:48 - INFO - __main__ - rec_0 = 0.9490084985835694
11/03/2023 12:24:48 - INFO - __main__ - rec_1 = 0.10810810810810811
11/03/2023 12:24:48 - INFO - __main__ - rec_2 = 0.20437956204379562
11/03/2023 12:24:48 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:24:48 - INFO - __main__ - ***** Running evaluation 560 *****
11/03/2023 12:24:48 - INFO - __main__ - Num examples = 326
11/03/2023 12:24:48 - INFO - __main__ - Batch size = 8
11/03/2023 12:24:52 - INFO - __main__ - ***** Eval results 560 *****
11/03/2023 12:24:52 - INFO - __main__ - acc = 0.7024539877300614
11/03/2023 12:24:52 - INFO - __main__ - correct = 229
11/03/2023 12:24:52 - INFO - __main__ - f1_0 = 0.8320000000000001
11/03/2023 12:24:52 - INFO - __main__ - f1_1 = 0.13333333333333333
11/03/2023 12:24:52 - INFO - __main__ - f1_2 = 0.3364485981308411
11/03/2023 12:24:52 - INFO - __main__ - macro_f1 = 0.43392731048805816
11/03/2023 12:24:52 - INFO - __main__ - num = 326
11/03/2023 12:24:52 - INFO - __main__ - prec_0 = 0.7509025270758123
11/03/2023 12:24:52 - INFO - __main__ - prec_1 = 0.2
11/03/2023 12:24:52 - INFO - __main__ - prec_2 = 0.5294117647058824
11/03/2023 12:24:52 - INFO - __main__ - rec_0 = 0.9327354260089686
11/03/2023 12:24:52 - INFO - __main__ - rec_1 = 0.1
11/03/2023 12:24:52 - INFO - __main__ - rec_2 = 0.2465753424657534
11/03/2023 12:24:52 - INFO - __main__ - Dev accuracy = 0.7024539877300614
11/03/2023 12:25:03 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:25:04 - INFO - __main__ - ***** Running evaluation checkpoint-580 *****
11/03/2023 12:25:04 - INFO - __main__ - Num examples = 527
11/03/2023 12:25:04 - INFO - __main__ - Batch size = 8
11/03/2023 12:25:10 - INFO - __main__ - ***** Eval results checkpoint-580 *****
11/03/2023 12:25:10 - INFO - __main__ - acc = 0.7020872865275142
11/03/2023 12:25:10 - INFO - __main__ - correct = 370
11/03/2023 12:25:10 - INFO - __main__ - f1_0 = 0.8339670468948036
11/03/2023 12:25:10 - INFO - __main__ - f1_1 = 0.16666666666666669
11/03/2023 12:25:10 - INFO - __main__ - f1_2 = 0.3626943005181347
11/03/2023 12:25:10 - INFO - __main__ - macro_f1 = 0.4544426713598683
11/03/2023 12:25:10 - INFO - __main__ - num = 527
11/03/2023 12:25:10 - INFO - __main__ - prec_0 = 0.7545871559633027
11/03/2023 12:25:10 - INFO - __main__ - prec_1 = 0.17142857142857143
11/03/2023 12:25:10 - INFO - __main__ - prec_2 = 0.625
11/03/2023 12:25:10 - INFO - __main__ - rec_0 = 0.9320113314447592
11/03/2023 12:25:10 - INFO - __main__ - rec_1 = 0.16216216216216217
11/03/2023 12:25:10 - INFO - __main__ - rec_2 = 0.25547445255474455
11/03/2023 12:25:10 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:25:10 - INFO - __main__ - ***** Running evaluation 580 *****
11/03/2023 12:25:10 - INFO - __main__ - Num examples = 326
11/03/2023 12:25:10 - INFO - __main__ - Batch size = 8
11/03/2023 12:25:13 - INFO - __main__ - ***** Eval results 580 *****
11/03/2023 12:25:13 - INFO - __main__ - acc = 0.7116564417177914
11/03/2023 12:25:13 - INFO - __main__ - correct = 232
11/03/2023 12:25:13 - INFO - __main__ - f1_0 = 0.8373983739837398
11/03/2023 12:25:13 - INFO - __main__ - f1_1 = 0.13636363636363638
11/03/2023 12:25:13 - INFO - __main__ - f1_2 = 0.396551724137931
11/03/2023 12:25:13 - INFO - __main__ - macro_f1 = 0.45677124482843573
11/03/2023 12:25:13 - INFO - __main__ - num = 326
11/03/2023 12:25:13 - INFO - __main__ - prec_0 = 0.7657992565055762
11/03/2023 12:25:13 - INFO - __main__ - prec_1 = 0.21428571428571427
11/03/2023 12:25:13 - INFO - __main__ - prec_2 = 0.5348837209302325
11/03/2023 12:25:13 - INFO - __main__ - rec_0 = 0.9237668161434978
11/03/2023 12:25:13 - INFO - __main__ - rec_1 = 0.1
11/03/2023 12:25:13 - INFO - __main__ - rec_2 = 0.3150684931506849
11/03/2023 12:25:13 - INFO - __main__ - Dev accuracy = 0.7116564417177914
11/03/2023 12:25:13 - INFO - __main__ - result['acc']=0.7116564417177914 > best_score=0.7085889570552147
11/03/2023 12:25:15 - INFO - __main__ - Saving model checkpoint to ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//checkpoint-best
11/03/2023 12:25:17 - INFO - __main__ - Saving optimizer and scheduler states to ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//checkpoint-best
11/03/2023 12:25:29 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:25:29 - INFO - __main__ - ***** Running evaluation checkpoint-600 *****
11/03/2023 12:25:29 - INFO - __main__ - Num examples = 527
11/03/2023 12:25:29 - INFO - __main__ - Batch size = 8
11/03/2023 12:25:35 - INFO - __main__ - ***** Eval results checkpoint-600 *****
11/03/2023 12:25:35 - INFO - __main__ - acc = 0.6641366223908919
11/03/2023 12:25:35 - INFO - __main__ - correct = 350
11/03/2023 12:25:35 - INFO - __main__ - f1_0 = 0.8212435233160622
11/03/2023 12:25:35 - INFO - __main__ - f1_1 = 0.15238095238095237
11/03/2023 12:25:35 - INFO - __main__ - f1_2 = 0.2824858757062147
11/03/2023 12:25:35 - INFO - __main__ - macro_f1 = 0.4187034504677431
11/03/2023 12:25:35 - INFO - __main__ - num = 527
11/03/2023 12:25:35 - INFO - __main__ - prec_0 = 0.7565632458233891
11/03/2023 12:25:35 - INFO - __main__ - prec_1 = 0.11764705882352941
11/03/2023 12:25:35 - INFO - __main__ - prec_2 = 0.625
11/03/2023 12:25:35 - INFO - __main__ - rec_0 = 0.8980169971671388
11/03/2023 12:25:35 - INFO - __main__ - rec_1 = 0.21621621621621623
11/03/2023 12:25:35 - INFO - __main__ - rec_2 = 0.18248175182481752
11/03/2023 12:25:35 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:25:35 - INFO - __main__ - ***** Running evaluation 600 *****
11/03/2023 12:25:35 - INFO - __main__ - Num examples = 326
11/03/2023 12:25:35 - INFO - __main__ - Batch size = 8
11/03/2023 12:25:39 - INFO - __main__ - ***** Eval results 600 *****
11/03/2023 12:25:39 - INFO - __main__ - acc = 0.6932515337423313
11/03/2023 12:25:39 - INFO - __main__ - correct = 226
11/03/2023 12:25:39 - INFO - __main__ - f1_0 = 0.8336755646817249
11/03/2023 12:25:39 - INFO - __main__ - f1_1 = 0.19672131147540983
11/03/2023 12:25:39 - INFO - __main__ - f1_2 = 0.32692307692307687
11/03/2023 12:25:39 - INFO - __main__ - macro_f1 = 0.45243998436007055
11/03/2023 12:25:39 - INFO - __main__ - num = 326
11/03/2023 12:25:39 - INFO - __main__ - prec_0 = 0.7689393939393939
11/03/2023 12:25:39 - INFO - __main__ - prec_1 = 0.1935483870967742
11/03/2023 12:25:39 - INFO - __main__ - prec_2 = 0.5483870967741935
11/03/2023 12:25:39 - INFO - __main__ - rec_0 = 0.9103139013452914
11/03/2023 12:25:39 - INFO - __main__ - rec_1 = 0.2
11/03/2023 12:25:39 - INFO - __main__ - rec_2 = 0.2328767123287671
11/03/2023 12:25:39 - INFO - __main__ - Dev accuracy = 0.6932515337423313
11/03/2023 12:25:50 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:25:50 - INFO - __main__ - ***** Running evaluation checkpoint-620 *****
11/03/2023 12:25:50 - INFO - __main__ - Num examples = 527
11/03/2023 12:25:50 - INFO - __main__ - Batch size = 8
11/03/2023 12:25:56 - INFO - __main__ - ***** Eval results checkpoint-620 *****
11/03/2023 12:25:56 - INFO - __main__ - acc = 0.6907020872865275
11/03/2023 12:25:56 - INFO - __main__ - correct = 364
11/03/2023 12:25:56 - INFO - __main__ - f1_0 = 0.830423940149626
11/03/2023 12:25:56 - INFO - __main__ - f1_1 = 0.15
11/03/2023 12:25:56 - INFO - __main__ - f1_2 = 0.29069767441860467
11/03/2023 12:25:56 - INFO - __main__ - macro_f1 = 0.4237072048560769
11/03/2023 12:25:56 - INFO - __main__ - num = 527
11/03/2023 12:25:56 - INFO - __main__ - prec_0 = 0.7416481069042317
11/03/2023 12:25:56 - INFO - __main__ - prec_1 = 0.13953488372093023
11/03/2023 12:25:56 - INFO - __main__ - prec_2 = 0.7142857142857143
11/03/2023 12:25:56 - INFO - __main__ - rec_0 = 0.943342776203966
11/03/2023 12:25:56 - INFO - __main__ - rec_1 = 0.16216216216216217
11/03/2023 12:25:56 - INFO - __main__ - rec_2 = 0.18248175182481752
11/03/2023 12:25:56 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:25:56 - INFO - __main__ - ***** Running evaluation 620 *****
11/03/2023 12:25:56 - INFO - __main__ - Num examples = 326
11/03/2023 12:25:56 - INFO - __main__ - Batch size = 8
11/03/2023 12:26:00 - INFO - __main__ - ***** Eval results 620 *****
11/03/2023 12:26:00 - INFO - __main__ - acc = 0.7085889570552147
11/03/2023 12:26:00 - INFO - __main__ - correct = 231
11/03/2023 12:26:00 - INFO - __main__ - f1_0 = 0.8383233532934131
11/03/2023 12:26:00 - INFO - __main__ - f1_1 = 0.18867924528301885
11/03/2023 12:26:00 - INFO - __main__ - f1_2 = 0.32653061224489793
11/03/2023 12:26:00 - INFO - __main__ - macro_f1 = 0.4511777369404433
11/03/2023 12:26:00 - INFO - __main__ - num = 326
11/03/2023 12:26:00 - INFO - __main__ - prec_0 = 0.7553956834532374
11/03/2023 12:26:00 - INFO - __main__ - prec_1 = 0.21739130434782608
11/03/2023 12:26:00 - INFO - __main__ - prec_2 = 0.64
11/03/2023 12:26:00 - INFO - __main__ - rec_0 = 0.9417040358744395
11/03/2023 12:26:00 - INFO - __main__ - rec_1 = 0.16666666666666666
11/03/2023 12:26:00 - INFO - __main__ - rec_2 = 0.2191780821917808
11/03/2023 12:26:00 - INFO - __main__ - Dev accuracy = 0.7085889570552147
11/03/2023 12:26:11 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:26:12 - INFO - __main__ - ***** Running evaluation checkpoint-640 *****
11/03/2023 12:26:12 - INFO - __main__ - Num examples = 527
11/03/2023 12:26:12 - INFO - __main__ - Batch size = 8
11/03/2023 12:26:18 - INFO - __main__ - ***** Eval results checkpoint-640 *****
11/03/2023 12:26:18 - INFO - __main__ - acc = 0.7001897533206831
11/03/2023 12:26:18 - INFO - __main__ - correct = 369
11/03/2023 12:26:18 - INFO - __main__ - f1_0 = 0.8319226118500604
11/03/2023 12:26:18 - INFO - __main__ - f1_1 = 0.15873015873015872
11/03/2023 12:26:18 - INFO - __main__ - f1_2 = 0.2439024390243902
11/03/2023 12:26:18 - INFO - __main__ - macro_f1 = 0.41151840320153643
11/03/2023 12:26:18 - INFO - __main__ - num = 527
11/03/2023 12:26:18 - INFO - __main__ - prec_0 = 0.7257383966244726
11/03/2023 12:26:18 - INFO - __main__ - prec_1 = 0.19230769230769232
11/03/2023 12:26:18 - INFO - __main__ - prec_2 = 0.7407407407407407
11/03/2023 12:26:18 - INFO - __main__ - rec_0 = 0.9745042492917847
11/03/2023 12:26:18 - INFO - __main__ - rec_1 = 0.13513513513513514
11/03/2023 12:26:18 - INFO - __main__ - rec_2 = 0.145985401459854
11/03/2023 12:26:18 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:26:18 - INFO - __main__ - ***** Running evaluation 640 *****
11/03/2023 12:26:18 - INFO - __main__ - Num examples = 326
11/03/2023 12:26:18 - INFO - __main__ - Batch size = 8
11/03/2023 12:26:21 - INFO - __main__ - ***** Eval results 640 *****
11/03/2023 12:26:21 - INFO - __main__ - acc = 0.6993865030674846
11/03/2023 12:26:21 - INFO - __main__ - correct = 228
11/03/2023 12:26:21 - INFO - __main__ - f1_0 = 0.8333333333333334
11/03/2023 12:26:21 - INFO - __main__ - f1_1 = 0.046511627906976744
11/03/2023 12:26:21 - INFO - __main__ - f1_2 = 0.25806451612903225
11/03/2023 12:26:21 - INFO - __main__ - macro_f1 = 0.37930315912311413
11/03/2023 12:26:21 - INFO - __main__ - num = 326
11/03/2023 12:26:21 - INFO - __main__ - prec_0 = 0.7337883959044369
11/03/2023 12:26:21 - INFO - __main__ - prec_1 = 0.07692307692307693
11/03/2023 12:26:21 - INFO - __main__ - prec_2 = 0.6
11/03/2023 12:26:21 - INFO - __main__ - rec_0 = 0.9641255605381166
11/03/2023 12:26:21 - INFO - __main__ - rec_1 = 0.03333333333333333
11/03/2023 12:26:21 - INFO - __main__ - rec_2 = 0.1643835616438356
11/03/2023 12:26:21 - INFO - __main__ - Dev accuracy = 0.6993865030674846
11/03/2023 12:26:33 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:26:33 - INFO - __main__ - ***** Running evaluation checkpoint-660 *****
11/03/2023 12:26:33 - INFO - __main__ - Num examples = 527
11/03/2023 12:26:33 - INFO - __main__ - Batch size = 8
11/03/2023 12:26:39 - INFO - __main__ - ***** Eval results checkpoint-660 *****
11/03/2023 12:26:39 - INFO - __main__ - acc = 0.6944971537001897
11/03/2023 12:26:39 - INFO - __main__ - correct = 366
11/03/2023 12:26:39 - INFO - __main__ - f1_0 = 0.8268292682926829
11/03/2023 12:26:39 - INFO - __main__ - f1_1 = 0.14705882352941174
11/03/2023 12:26:39 - INFO - __main__ - f1_2 = 0.2650602409638554
11/03/2023 12:26:39 - INFO - __main__ - macro_f1 = 0.4129827775953167
11/03/2023 12:26:39 - INFO - __main__ - num = 527
11/03/2023 12:26:39 - INFO - __main__ - prec_0 = 0.7259100642398287
11/03/2023 12:26:39 - INFO - __main__ - prec_1 = 0.16129032258064516
11/03/2023 12:26:39 - INFO - __main__ - prec_2 = 0.7586206896551724
11/03/2023 12:26:39 - INFO - __main__ - rec_0 = 0.9603399433427762
11/03/2023 12:26:39 - INFO - __main__ - rec_1 = 0.13513513513513514
11/03/2023 12:26:39 - INFO - __main__ - rec_2 = 0.16058394160583941
11/03/2023 12:26:39 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:26:39 - INFO - __main__ - ***** Running evaluation 660 *****
11/03/2023 12:26:39 - INFO - __main__ - Num examples = 326
11/03/2023 12:26:39 - INFO - __main__ - Batch size = 8
11/03/2023 12:26:43 - INFO - __main__ - ***** Eval results 660 *****
11/03/2023 12:26:43 - INFO - __main__ - acc = 0.6993865030674846
11/03/2023 12:26:43 - INFO - __main__ - correct = 228
11/03/2023 12:26:43 - INFO - __main__ - f1_0 = 0.8301158301158301
11/03/2023 12:26:43 - INFO - __main__ - f1_1 = 0.13953488372093023
11/03/2023 12:26:43 - INFO - __main__ - f1_2 = 0.21978021978021975
11/03/2023 12:26:43 - INFO - __main__ - macro_f1 = 0.3964769778723267
11/03/2023 12:26:43 - INFO - __main__ - num = 326
11/03/2023 12:26:43 - INFO - __main__ - prec_0 = 0.7288135593220338
11/03/2023 12:26:43 - INFO - __main__ - prec_1 = 0.23076923076923078
11/03/2023 12:26:43 - INFO - __main__ - prec_2 = 0.5555555555555556
11/03/2023 12:26:43 - INFO - __main__ - rec_0 = 0.9641255605381166
11/03/2023 12:26:43 - INFO - __main__ - rec_1 = 0.1
11/03/2023 12:26:43 - INFO - __main__ - rec_2 = 0.136986301369863
11/03/2023 12:26:43 - INFO - __main__ - Dev accuracy = 0.6993865030674846
11/03/2023 12:26:54 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:26:54 - INFO - __main__ - ***** Running evaluation checkpoint-680 *****
11/03/2023 12:26:54 - INFO - __main__ - Num examples = 527
11/03/2023 12:26:54 - INFO - __main__ - Batch size = 8
11/03/2023 12:27:01 - INFO - __main__ - ***** Eval results checkpoint-680 *****
11/03/2023 12:27:01 - INFO - __main__ - acc = 0.6774193548387096
11/03/2023 12:27:01 - INFO - __main__ - correct = 357
11/03/2023 12:27:01 - INFO - __main__ - f1_0 = 0.8246913580246913
11/03/2023 12:27:01 - INFO - __main__ - f1_1 = 0.125
11/03/2023 12:27:01 - INFO - __main__ - f1_2 = 0.21951219512195125
11/03/2023 12:27:01 - INFO - __main__ - macro_f1 = 0.3897345177155475
11/03/2023 12:27:01 - INFO - __main__ - num = 527
11/03/2023 12:27:01 - INFO - __main__ - prec_0 = 0.7308533916849015
11/03/2023 12:27:01 - INFO - __main__ - prec_1 = 0.11627906976744186
11/03/2023 12:27:01 - INFO - __main__ - prec_2 = 0.6666666666666666
11/03/2023 12:27:01 - INFO - __main__ - rec_0 = 0.9461756373937678
11/03/2023 12:27:01 - INFO - __main__ - rec_1 = 0.13513513513513514
11/03/2023 12:27:01 - INFO - __main__ - rec_2 = 0.13138686131386862
11/03/2023 12:27:01 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:27:01 - INFO - __main__ - ***** Running evaluation 680 *****
11/03/2023 12:27:01 - INFO - __main__ - Num examples = 326
11/03/2023 12:27:01 - INFO - __main__ - Batch size = 8
11/03/2023 12:27:04 - INFO - __main__ - ***** Eval results 680 *****
11/03/2023 12:27:04 - INFO - __main__ - acc = 0.7147239263803681
11/03/2023 12:27:04 - INFO - __main__ - correct = 233
11/03/2023 12:27:04 - INFO - __main__ - f1_0 = 0.8404669260700388
11/03/2023 12:27:04 - INFO - __main__ - f1_1 = 0.21739130434782608
11/03/2023 12:27:04 - INFO - __main__ - f1_2 = 0.2608695652173913
11/03/2023 12:27:04 - INFO - __main__ - macro_f1 = 0.43957593187841876
11/03/2023 12:27:04 - INFO - __main__ - num = 326
11/03/2023 12:27:04 - INFO - __main__ - prec_0 = 0.7422680412371134
11/03/2023 12:27:04 - INFO - __main__ - prec_1 = 0.3125
11/03/2023 12:27:04 - INFO - __main__ - prec_2 = 0.631578947368421
11/03/2023 12:27:04 - INFO - __main__ - rec_0 = 0.968609865470852
11/03/2023 12:27:04 - INFO - __main__ - rec_1 = 0.16666666666666666
11/03/2023 12:27:04 - INFO - __main__ - rec_2 = 0.1643835616438356
11/03/2023 12:27:04 - INFO - __main__ - Dev accuracy = 0.7147239263803681
11/03/2023 12:27:04 - INFO - __main__ - result['acc']=0.7147239263803681 > best_score=0.7116564417177914
11/03/2023 12:27:06 - INFO - __main__ - Saving model checkpoint to ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//checkpoint-best
11/03/2023 12:27:08 - INFO - __main__ - Saving optimizer and scheduler states to ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//checkpoint-best
11/03/2023 12:27:20 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:27:20 - INFO - __main__ - ***** Running evaluation checkpoint-700 *****
11/03/2023 12:27:20 - INFO - __main__ - Num examples = 527
11/03/2023 12:27:20 - INFO - __main__ - Batch size = 8
11/03/2023 12:27:26 - INFO - __main__ - ***** Eval results checkpoint-700 *****
11/03/2023 12:27:26 - INFO - __main__ - acc = 0.6888045540796964
11/03/2023 12:27:26 - INFO - __main__ - correct = 363
11/03/2023 12:27:26 - INFO - __main__ - f1_0 = 0.8265682656826568
11/03/2023 12:27:26 - INFO - __main__ - f1_1 = 0.14084507042253522
11/03/2023 12:27:26 - INFO - __main__ - f1_2 = 0.2588235294117647
11/03/2023 12:27:26 - INFO - __main__ - macro_f1 = 0.4087456218389856
11/03/2023 12:27:26 - INFO - __main__ - num = 527
11/03/2023 12:27:26 - INFO - __main__ - prec_0 = 0.7304347826086957
11/03/2023 12:27:26 - INFO - __main__ - prec_1 = 0.14705882352941177
11/03/2023 12:27:26 - INFO - __main__ - prec_2 = 0.6666666666666666
11/03/2023 12:27:26 - INFO - __main__ - rec_0 = 0.9518413597733711
11/03/2023 12:27:26 - INFO - __main__ - rec_1 = 0.13513513513513514
11/03/2023 12:27:26 - INFO - __main__ - rec_2 = 0.16058394160583941
11/03/2023 12:27:26 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:27:26 - INFO - __main__ - ***** Running evaluation 700 *****
11/03/2023 12:27:26 - INFO - __main__ - Num examples = 326
11/03/2023 12:27:26 - INFO - __main__ - Batch size = 8
11/03/2023 12:27:30 - INFO - __main__ - ***** Eval results 700 *****
11/03/2023 12:27:30 - INFO - __main__ - acc = 0.7147239263803681
11/03/2023 12:27:30 - INFO - __main__ - correct = 233
11/03/2023 12:27:30 - INFO - __main__ - f1_0 = 0.8404669260700388
11/03/2023 12:27:30 - INFO - __main__ - f1_1 = 0.21739130434782608
11/03/2023 12:27:30 - INFO - __main__ - f1_2 = 0.2608695652173913
11/03/2023 12:27:30 - INFO - __main__ - macro_f1 = 0.43957593187841876
11/03/2023 12:27:30 - INFO - __main__ - num = 326
11/03/2023 12:27:30 - INFO - __main__ - prec_0 = 0.7422680412371134
11/03/2023 12:27:30 - INFO - __main__ - prec_1 = 0.3125
11/03/2023 12:27:30 - INFO - __main__ - prec_2 = 0.631578947368421
11/03/2023 12:27:30 - INFO - __main__ - rec_0 = 0.968609865470852
11/03/2023 12:27:30 - INFO - __main__ - rec_1 = 0.16666666666666666
11/03/2023 12:27:30 - INFO - __main__ - rec_2 = 0.1643835616438356
11/03/2023 12:27:30 - INFO - __main__ - Dev accuracy = 0.7147239263803681
11/03/2023 12:27:41 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:27:41 - INFO - __main__ - ***** Running evaluation checkpoint-720 *****
11/03/2023 12:27:41 - INFO - __main__ - Num examples = 527
11/03/2023 12:27:41 - INFO - __main__ - Batch size = 8
11/03/2023 12:27:47 - INFO - __main__ - ***** Eval results checkpoint-720 *****
11/03/2023 12:27:47 - INFO - __main__ - acc = 0.6907020872865275
11/03/2023 12:27:47 - INFO - __main__ - correct = 364
11/03/2023 12:27:47 - INFO - __main__ - f1_0 = 0.8252427184466019
11/03/2023 12:27:47 - INFO - __main__ - f1_1 = 0.14705882352941174
11/03/2023 12:27:47 - INFO - __main__ - f1_2 = 0.23456790123456792
11/03/2023 12:27:47 - INFO - __main__ - macro_f1 = 0.4022898144035272
11/03/2023 12:27:47 - INFO - __main__ - num = 527
11/03/2023 12:27:47 - INFO - __main__ - prec_0 = 0.721868365180467
11/03/2023 12:27:47 - INFO - __main__ - prec_1 = 0.16129032258064516
11/03/2023 12:27:47 - INFO - __main__ - prec_2 = 0.76
11/03/2023 12:27:47 - INFO - __main__ - rec_0 = 0.9631728045325779
11/03/2023 12:27:47 - INFO - __main__ - rec_1 = 0.13513513513513514
11/03/2023 12:27:47 - INFO - __main__ - rec_2 = 0.1386861313868613
11/03/2023 12:27:47 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:27:47 - INFO - __main__ - ***** Running evaluation 720 *****
11/03/2023 12:27:47 - INFO - __main__ - Num examples = 326
11/03/2023 12:27:47 - INFO - __main__ - Batch size = 8
11/03/2023 12:27:51 - INFO - __main__ - ***** Eval results 720 *****
11/03/2023 12:27:51 - INFO - __main__ - acc = 0.7055214723926381
11/03/2023 12:27:51 - INFO - __main__ - correct = 230
11/03/2023 12:27:51 - INFO - __main__ - f1_0 = 0.8317214700193423
11/03/2023 12:27:51 - INFO - __main__ - f1_1 = 0.14285714285714288
11/03/2023 12:27:51 - INFO - __main__ - f1_2 = 0.25806451612903225
11/03/2023 12:27:51 - INFO - __main__ - macro_f1 = 0.4108810430018391
11/03/2023 12:27:51 - INFO - __main__ - num = 326
11/03/2023 12:27:51 - INFO - __main__ - prec_0 = 0.7312925170068028
11/03/2023 12:27:51 - INFO - __main__ - prec_1 = 0.25
11/03/2023 12:27:51 - INFO - __main__ - prec_2 = 0.6
11/03/2023 12:27:51 - INFO - __main__ - rec_0 = 0.9641255605381166
11/03/2023 12:27:51 - INFO - __main__ - rec_1 = 0.1
11/03/2023 12:27:51 - INFO - __main__ - rec_2 = 0.1643835616438356
11/03/2023 12:27:51 - INFO - __main__ - Dev accuracy = 0.7055214723926381
11/03/2023 12:28:03 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:28:03 - INFO - __main__ - ***** Running evaluation checkpoint-740 *****
11/03/2023 12:28:03 - INFO - __main__ - Num examples = 527
11/03/2023 12:28:03 - INFO - __main__ - Batch size = 8
11/03/2023 12:28:09 - INFO - __main__ - ***** Eval results checkpoint-740 *****
11/03/2023 12:28:09 - INFO - __main__ - acc = 0.6793168880455408
11/03/2023 12:28:09 - INFO - __main__ - correct = 358
11/03/2023 12:28:09 - INFO - __main__ - f1_0 = 0.8207070707070707
11/03/2023 12:28:09 - INFO - __main__ - f1_1 = 0.11904761904761907
11/03/2023 12:28:09 - INFO - __main__ - f1_2 = 0.31460674157303375
11/03/2023 12:28:09 - INFO - __main__ - macro_f1 = 0.4181204771092412
11/03/2023 12:28:09 - INFO - __main__ - num = 527
11/03/2023 12:28:09 - INFO - __main__ - prec_0 = 0.7403189066059226
11/03/2023 12:28:09 - INFO - __main__ - prec_1 = 0.10638297872340426
11/03/2023 12:28:09 - INFO - __main__ - prec_2 = 0.6829268292682927
11/03/2023 12:28:09 - INFO - __main__ - rec_0 = 0.9206798866855525
11/03/2023 12:28:09 - INFO - __main__ - rec_1 = 0.13513513513513514
11/03/2023 12:28:09 - INFO - __main__ - rec_2 = 0.20437956204379562
11/03/2023 12:28:09 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:28:09 - INFO - __main__ - ***** Running evaluation 740 *****
11/03/2023 12:28:09 - INFO - __main__ - Num examples = 326
11/03/2023 12:28:09 - INFO - __main__ - Batch size = 8
11/03/2023 12:28:13 - INFO - __main__ - ***** Eval results 740 *****
11/03/2023 12:28:13 - INFO - __main__ - acc = 0.6993865030674846
11/03/2023 12:28:13 - INFO - __main__ - correct = 228
11/03/2023 12:28:13 - INFO - __main__ - f1_0 = 0.8329979879275654
11/03/2023 12:28:13 - INFO - __main__ - f1_1 = 0.12244897959183673
11/03/2023 12:28:13 - INFO - __main__ - f1_2 = 0.33962264150943394
11/03/2023 12:28:13 - INFO - __main__ - macro_f1 = 0.4316898696762787
11/03/2023 12:28:13 - INFO - __main__ - num = 326
11/03/2023 12:28:13 - INFO - __main__ - prec_0 = 0.7554744525547445
11/03/2023 12:28:13 - INFO - __main__ - prec_1 = 0.15789473684210525
11/03/2023 12:28:13 - INFO - __main__ - prec_2 = 0.5454545454545454
11/03/2023 12:28:13 - INFO - __main__ - rec_0 = 0.9282511210762332
11/03/2023 12:28:13 - INFO - __main__ - rec_1 = 0.1
11/03/2023 12:28:13 - INFO - __main__ - rec_2 = 0.2465753424657534
11/03/2023 12:28:13 - INFO - __main__ - Dev accuracy = 0.6993865030674846
11/03/2023 12:28:24 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:28:24 - INFO - __main__ - ***** Running evaluation checkpoint-760 *****
11/03/2023 12:28:24 - INFO - __main__ - Num examples = 527
11/03/2023 12:28:24 - INFO - __main__ - Batch size = 8
11/03/2023 12:28:30 - INFO - __main__ - ***** Eval results checkpoint-760 *****
11/03/2023 12:28:30 - INFO - __main__ - acc = 0.6944971537001897
11/03/2023 12:28:30 - INFO - __main__ - correct = 366
11/03/2023 12:28:30 - INFO - __main__ - f1_0 = 0.8254364089775561
11/03/2023 12:28:30 - INFO - __main__ - f1_1 = 0.1388888888888889
11/03/2023 12:28:30 - INFO - __main__ - f1_2 = 0.33333333333333337
11/03/2023 12:28:30 - INFO - __main__ - macro_f1 = 0.4325528770665928
11/03/2023 12:28:30 - INFO - __main__ - num = 527
11/03/2023 12:28:30 - INFO - __main__ - prec_0 = 0.7371937639198218
11/03/2023 12:28:30 - INFO - __main__ - prec_1 = 0.14285714285714285
11/03/2023 12:28:30 - INFO - __main__ - prec_2 = 0.6976744186046512
11/03/2023 12:28:30 - INFO - __main__ - rec_0 = 0.9376770538243626
11/03/2023 12:28:30 - INFO - __main__ - rec_1 = 0.13513513513513514
11/03/2023 12:28:30 - INFO - __main__ - rec_2 = 0.21897810218978103
11/03/2023 12:28:30 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:28:30 - INFO - __main__ - ***** Running evaluation 760 *****
11/03/2023 12:28:30 - INFO - __main__ - Num examples = 326
11/03/2023 12:28:30 - INFO - __main__ - Batch size = 8
11/03/2023 12:28:34 - INFO - __main__ - ***** Eval results 760 *****
11/03/2023 12:28:34 - INFO - __main__ - acc = 0.7024539877300614
11/03/2023 12:28:34 - INFO - __main__ - correct = 229
11/03/2023 12:28:34 - INFO - __main__ - f1_0 = 0.8376753507014029
11/03/2023 12:28:34 - INFO - __main__ - f1_1 = 0.08888888888888888
11/03/2023 12:28:34 - INFO - __main__ - f1_2 = 0.33333333333333326
11/03/2023 12:28:34 - INFO - __main__ - macro_f1 = 0.41996585764120836
11/03/2023 12:28:34 - INFO - __main__ - num = 326
11/03/2023 12:28:34 - INFO - __main__ - prec_0 = 0.7572463768115942
11/03/2023 12:28:34 - INFO - __main__ - prec_1 = 0.13333333333333333
11/03/2023 12:28:34 - INFO - __main__ - prec_2 = 0.5142857142857142
11/03/2023 12:28:34 - INFO - __main__ - rec_0 = 0.9372197309417041
11/03/2023 12:28:34 - INFO - __main__ - rec_1 = 0.06666666666666667
11/03/2023 12:28:34 - INFO - __main__ - rec_2 = 0.2465753424657534
11/03/2023 12:28:34 - INFO - __main__ - Dev accuracy = 0.7024539877300614
11/03/2023 12:28:45 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:28:45 - INFO - __main__ - ***** Running evaluation checkpoint-780 *****
11/03/2023 12:28:45 - INFO - __main__ - Num examples = 527
11/03/2023 12:28:45 - INFO - __main__ - Batch size = 8
11/03/2023 12:28:52 - INFO - __main__ - ***** Eval results checkpoint-780 *****
11/03/2023 12:28:52 - INFO - __main__ - acc = 0.6907020872865275
11/03/2023 12:28:52 - INFO - __main__ - correct = 364
11/03/2023 12:28:52 - INFO - __main__ - f1_0 = 0.824969400244798
11/03/2023 12:28:52 - INFO - __main__ - f1_1 = 0.1388888888888889
11/03/2023 12:28:52 - INFO - __main__ - f1_2 = 0.2666666666666666
11/03/2023 12:28:52 - INFO - __main__ - macro_f1 = 0.4101749852667845
11/03/2023 12:28:52 - INFO - __main__ - num = 527
11/03/2023 12:28:52 - INFO - __main__ - prec_0 = 0.7262931034482759
11/03/2023 12:28:52 - INFO - __main__ - prec_1 = 0.14285714285714285
11/03/2023 12:28:52 - INFO - __main__ - prec_2 = 0.7857142857142857
11/03/2023 12:28:52 - INFO - __main__ - rec_0 = 0.9546742209631728
11/03/2023 12:28:52 - INFO - __main__ - rec_1 = 0.13513513513513514
11/03/2023 12:28:52 - INFO - __main__ - rec_2 = 0.16058394160583941
11/03/2023 12:28:52 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:28:52 - INFO - __main__ - ***** Running evaluation 780 *****
11/03/2023 12:28:52 - INFO - __main__ - Num examples = 326
11/03/2023 12:28:52 - INFO - __main__ - Batch size = 8
11/03/2023 12:28:55 - INFO - __main__ - ***** Eval results 780 *****
11/03/2023 12:28:55 - INFO - __main__ - acc = 0.7116564417177914
11/03/2023 12:28:55 - INFO - __main__ - correct = 232
11/03/2023 12:28:55 - INFO - __main__ - f1_0 = 0.8359375000000001
11/03/2023 12:28:55 - INFO - __main__ - f1_1 = 0.17777777777777776
11/03/2023 12:28:55 - INFO - __main__ - f1_2 = 0.29473684210526313
11/03/2023 12:28:55 - INFO - __main__ - macro_f1 = 0.43615070662768035
11/03/2023 12:28:55 - INFO - __main__ - num = 326
11/03/2023 12:28:55 - INFO - __main__ - prec_0 = 0.740484429065744
11/03/2023 12:28:55 - INFO - __main__ - prec_1 = 0.26666666666666666
11/03/2023 12:28:55 - INFO - __main__ - prec_2 = 0.6363636363636364
11/03/2023 12:28:55 - INFO - __main__ - rec_0 = 0.9596412556053812
11/03/2023 12:28:55 - INFO - __main__ - rec_1 = 0.13333333333333333
11/03/2023 12:28:55 - INFO - __main__ - rec_2 = 0.1917808219178082
11/03/2023 12:28:55 - INFO - __main__ - Dev accuracy = 0.7116564417177914
11/03/2023 12:29:07 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:29:07 - INFO - __main__ - ***** Running evaluation checkpoint-800 *****
11/03/2023 12:29:07 - INFO - __main__ - Num examples = 527
11/03/2023 12:29:07 - INFO - __main__ - Batch size = 8
11/03/2023 12:29:13 - INFO - __main__ - ***** Eval results checkpoint-800 *****
11/03/2023 12:29:13 - INFO - __main__ - acc = 0.6717267552182163
11/03/2023 12:29:13 - INFO - __main__ - correct = 354
11/03/2023 12:29:13 - INFO - __main__ - f1_0 = 0.8179487179487179
11/03/2023 12:29:13 - INFO - __main__ - f1_1 = 0.1098901098901099
11/03/2023 12:29:13 - INFO - __main__ - f1_2 = 0.3278688524590164
11/03/2023 12:29:13 - INFO - __main__ - macro_f1 = 0.41856922676594815
11/03/2023 12:29:13 - INFO - __main__ - num = 527
11/03/2023 12:29:13 - INFO - __main__ - prec_0 = 0.747072599531616
11/03/2023 12:29:13 - INFO - __main__ - prec_1 = 0.09259259259259259
11/03/2023 12:29:13 - INFO - __main__ - prec_2 = 0.6521739130434783
11/03/2023 12:29:13 - INFO - __main__ - rec_0 = 0.9036827195467422
11/03/2023 12:29:13 - INFO - __main__ - rec_1 = 0.13513513513513514
11/03/2023 12:29:13 - INFO - __main__ - rec_2 = 0.21897810218978103
11/03/2023 12:29:13 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:29:13 - INFO - __main__ - ***** Running evaluation 800 *****
11/03/2023 12:29:13 - INFO - __main__ - Num examples = 326
11/03/2023 12:29:13 - INFO - __main__ - Batch size = 8
11/03/2023 12:29:17 - INFO - __main__ - ***** Eval results 800 *****
11/03/2023 12:29:17 - INFO - __main__ - acc = 0.7055214723926381
11/03/2023 12:29:17 - INFO - __main__ - correct = 230
11/03/2023 12:29:17 - INFO - __main__ - f1_0 = 0.8356997971602433
11/03/2023 12:29:17 - INFO - __main__ - f1_1 = 0.1923076923076923
11/03/2023 12:29:17 - INFO - __main__ - f1_2 = 0.3551401869158879
11/03/2023 12:29:17 - INFO - __main__ - macro_f1 = 0.4610492254612745
11/03/2023 12:29:17 - INFO - __main__ - num = 326
11/03/2023 12:29:17 - INFO - __main__ - prec_0 = 0.762962962962963
11/03/2023 12:29:17 - INFO - __main__ - prec_1 = 0.22727272727272727
11/03/2023 12:29:17 - INFO - __main__ - prec_2 = 0.5588235294117647
11/03/2023 12:29:17 - INFO - __main__ - rec_0 = 0.9237668161434978
11/03/2023 12:29:17 - INFO - __main__ - rec_1 = 0.16666666666666666
11/03/2023 12:29:17 - INFO - __main__ - rec_2 = 0.2602739726027397
11/03/2023 12:29:17 - INFO - __main__ - Dev accuracy = 0.7055214723926381
11/03/2023 12:29:28 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:29:28 - INFO - __main__ - ***** Running evaluation checkpoint-820 *****
11/03/2023 12:29:28 - INFO - __main__ - Num examples = 527
11/03/2023 12:29:28 - INFO - __main__ - Batch size = 8
11/03/2023 12:29:35 - INFO - __main__ - ***** Eval results checkpoint-820 *****
11/03/2023 12:29:35 - INFO - __main__ - acc = 0.6944971537001897
11/03/2023 12:29:35 - INFO - __main__ - correct = 366
11/03/2023 12:29:35 - INFO - __main__ - f1_0 = 0.8251231527093597
11/03/2023 12:29:35 - INFO - __main__ - f1_1 = 0.14285714285714285
11/03/2023 12:29:35 - INFO - __main__ - f1_2 = 0.3023255813953488
11/03/2023 12:29:35 - INFO - __main__ - macro_f1 = 0.42343529232061705
11/03/2023 12:29:35 - INFO - __main__ - num = 527
11/03/2023 12:29:35 - INFO - __main__ - prec_0 = 0.7298474945533769
11/03/2023 12:29:35 - INFO - __main__ - prec_1 = 0.15151515151515152
11/03/2023 12:29:35 - INFO - __main__ - prec_2 = 0.7428571428571429
11/03/2023 12:29:35 - INFO - __main__ - rec_0 = 0.9490084985835694
11/03/2023 12:29:35 - INFO - __main__ - rec_1 = 0.13513513513513514
11/03/2023 12:29:35 - INFO - __main__ - rec_2 = 0.1897810218978102
11/03/2023 12:29:35 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:29:35 - INFO - __main__ - ***** Running evaluation 820 *****
11/03/2023 12:29:35 - INFO - __main__ - Num examples = 326
11/03/2023 12:29:35 - INFO - __main__ - Batch size = 8
11/03/2023 12:29:38 - INFO - __main__ - ***** Eval results 820 *****
11/03/2023 12:29:38 - INFO - __main__ - acc = 0.7085889570552147
11/03/2023 12:29:38 - INFO - __main__ - correct = 231
11/03/2023 12:29:38 - INFO - __main__ - f1_0 = 0.8375733855185911
11/03/2023 12:29:38 - INFO - __main__ - f1_1 = 0.13636363636363638
11/03/2023 12:29:38 - INFO - __main__ - f1_2 = 0.288659793814433
11/03/2023 12:29:38 - INFO - __main__ - macro_f1 = 0.42086560523222016
11/03/2023 12:29:38 - INFO - __main__ - num = 326
11/03/2023 12:29:38 - INFO - __main__ - prec_0 = 0.7430555555555556
11/03/2023 12:29:38 - INFO - __main__ - prec_1 = 0.21428571428571427
11/03/2023 12:29:38 - INFO - __main__ - prec_2 = 0.5833333333333334
11/03/2023 12:29:38 - INFO - __main__ - rec_0 = 0.9596412556053812
11/03/2023 12:29:38 - INFO - __main__ - rec_1 = 0.1
11/03/2023 12:29:38 - INFO - __main__ - rec_2 = 0.1917808219178082
11/03/2023 12:29:38 - INFO - __main__ - Dev accuracy = 0.7085889570552147
11/03/2023 12:29:50 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:29:50 - INFO - __main__ - ***** Running evaluation checkpoint-840 *****
11/03/2023 12:29:50 - INFO - __main__ - Num examples = 527
11/03/2023 12:29:50 - INFO - __main__ - Batch size = 8
11/03/2023 12:29:56 - INFO - __main__ - ***** Eval results checkpoint-840 *****
11/03/2023 12:29:56 - INFO - __main__ - acc = 0.6888045540796964
11/03/2023 12:29:56 - INFO - __main__ - correct = 363
11/03/2023 12:29:56 - INFO - __main__ - f1_0 = 0.8239700374531835
11/03/2023 12:29:56 - INFO - __main__ - f1_1 = 0.1282051282051282
11/03/2023 12:29:56 - INFO - __main__ - f1_2 = 0.32
11/03/2023 12:29:56 - INFO - __main__ - macro_f1 = 0.4240583885527706
11/03/2023 12:29:56 - INFO - __main__ - num = 527
11/03/2023 12:29:56 - INFO - __main__ - prec_0 = 0.7366071428571429
11/03/2023 12:29:56 - INFO - __main__ - prec_1 = 0.12195121951219512
11/03/2023 12:29:56 - INFO - __main__ - prec_2 = 0.7368421052631579
11/03/2023 12:29:56 - INFO - __main__ - rec_0 = 0.9348441926345609
11/03/2023 12:29:56 - INFO - __main__ - rec_1 = 0.13513513513513514
11/03/2023 12:29:56 - INFO - __main__ - rec_2 = 0.20437956204379562
11/03/2023 12:29:56 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:29:56 - INFO - __main__ - ***** Running evaluation 840 *****
11/03/2023 12:29:56 - INFO - __main__ - Num examples = 326
11/03/2023 12:29:56 - INFO - __main__ - Batch size = 8
11/03/2023 12:30:00 - INFO - __main__ - ***** Eval results 840 *****
11/03/2023 12:30:00 - INFO - __main__ - acc = 0.7055214723926381
11/03/2023 12:30:00 - INFO - __main__ - correct = 230
11/03/2023 12:30:00 - INFO - __main__ - f1_0 = 0.8346456692913385
11/03/2023 12:30:00 - INFO - __main__ - f1_1 = 0.17777777777777776
11/03/2023 12:30:00 - INFO - __main__ - f1_2 = 0.2828282828282828
11/03/2023 12:30:00 - INFO - __main__ - macro_f1 = 0.43175057663246635
11/03/2023 12:30:00 - INFO - __main__ - num = 326
11/03/2023 12:30:00 - INFO - __main__ - prec_0 = 0.743859649122807
11/03/2023 12:30:00 - INFO - __main__ - prec_1 = 0.26666666666666666
11/03/2023 12:30:00 - INFO - __main__ - prec_2 = 0.5384615384615384
11/03/2023 12:30:00 - INFO - __main__ - rec_0 = 0.9506726457399103
11/03/2023 12:30:00 - INFO - __main__ - rec_1 = 0.13333333333333333
11/03/2023 12:30:00 - INFO - __main__ - rec_2 = 0.1917808219178082
11/03/2023 12:30:00 - INFO - __main__ - Dev accuracy = 0.7055214723926381
11/03/2023 12:30:11 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:30:11 - INFO - __main__ - ***** Running evaluation checkpoint-860 *****
11/03/2023 12:30:11 - INFO - __main__ - Num examples = 527
11/03/2023 12:30:11 - INFO - __main__ - Batch size = 8
11/03/2023 12:30:18 - INFO - __main__ - ***** Eval results checkpoint-860 *****
11/03/2023 12:30:18 - INFO - __main__ - acc = 0.683111954459203
11/03/2023 12:30:18 - INFO - __main__ - correct = 360
11/03/2023 12:30:18 - INFO - __main__ - f1_0 = 0.827144686299616
11/03/2023 12:30:18 - INFO - __main__ - f1_1 = 0.12903225806451613
11/03/2023 12:30:18 - INFO - __main__ - f1_2 = 0.34444444444444444
11/03/2023 12:30:18 - INFO - __main__ - macro_f1 = 0.43354046293619214
11/03/2023 12:30:18 - INFO - __main__ - num = 527
11/03/2023 12:30:18 - INFO - __main__ - prec_0 = 0.7546728971962616
11/03/2023 12:30:18 - INFO - __main__ - prec_1 = 0.10714285714285714
11/03/2023 12:30:18 - INFO - __main__ - prec_2 = 0.7209302325581395
11/03/2023 12:30:18 - INFO - __main__ - rec_0 = 0.9150141643059491
11/03/2023 12:30:18 - INFO - __main__ - rec_1 = 0.16216216216216217
11/03/2023 12:30:18 - INFO - __main__ - rec_2 = 0.22627737226277372
11/03/2023 12:30:18 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:30:18 - INFO - __main__ - ***** Running evaluation 860 *****
11/03/2023 12:30:18 - INFO - __main__ - Num examples = 326
11/03/2023 12:30:18 - INFO - __main__ - Batch size = 8
11/03/2023 12:30:21 - INFO - __main__ - ***** Eval results 860 *****
11/03/2023 12:30:21 - INFO - __main__ - acc = 0.7024539877300614
11/03/2023 12:30:21 - INFO - __main__ - correct = 229
11/03/2023 12:30:21 - INFO - __main__ - f1_0 = 0.8309572301425663
11/03/2023 12:30:21 - INFO - __main__ - f1_1 = 0.23076923076923075
11/03/2023 12:30:21 - INFO - __main__ - f1_2 = 0.3486238532110092
11/03/2023 12:30:21 - INFO - __main__ - macro_f1 = 0.4701167713742687
11/03/2023 12:30:21 - INFO - __main__ - num = 326
11/03/2023 12:30:21 - INFO - __main__ - prec_0 = 0.7611940298507462
11/03/2023 12:30:21 - INFO - __main__ - prec_1 = 0.2727272727272727
11/03/2023 12:30:21 - INFO - __main__ - prec_2 = 0.5277777777777778
11/03/2023 12:30:21 - INFO - __main__ - rec_0 = 0.9147982062780269
11/03/2023 12:30:21 - INFO - __main__ - rec_1 = 0.2
11/03/2023 12:30:21 - INFO - __main__ - rec_2 = 0.2602739726027397
11/03/2023 12:30:21 - INFO - __main__ - Dev accuracy = 0.7024539877300614
11/03/2023 12:30:33 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:30:33 - INFO - __main__ - ***** Running evaluation checkpoint-880 *****
11/03/2023 12:30:33 - INFO - __main__ - Num examples = 527
11/03/2023 12:30:33 - INFO - __main__ - Batch size = 8
11/03/2023 12:30:39 - INFO - __main__ - ***** Eval results checkpoint-880 *****
11/03/2023 12:30:39 - INFO - __main__ - acc = 0.7001897533206831
11/03/2023 12:30:39 - INFO - __main__ - correct = 369
11/03/2023 12:30:39 - INFO - __main__ - f1_0 = 0.8286066584463626
11/03/2023 12:30:39 - INFO - __main__ - f1_1 = 0.14705882352941174
11/03/2023 12:30:39 - INFO - __main__ - f1_2 = 0.32
11/03/2023 12:30:39 - INFO - __main__ - macro_f1 = 0.4318884939919248
11/03/2023 12:30:39 - INFO - __main__ - num = 527
11/03/2023 12:30:39 - INFO - __main__ - prec_0 = 0.7336244541484717
11/03/2023 12:30:39 - INFO - __main__ - prec_1 = 0.16129032258064516
11/03/2023 12:30:39 - INFO - __main__ - prec_2 = 0.7368421052631579
11/03/2023 12:30:39 - INFO - __main__ - rec_0 = 0.9518413597733711
11/03/2023 12:30:39 - INFO - __main__ - rec_1 = 0.13513513513513514
11/03/2023 12:30:39 - INFO - __main__ - rec_2 = 0.20437956204379562
11/03/2023 12:30:39 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:30:39 - INFO - __main__ - ***** Running evaluation 880 *****
11/03/2023 12:30:39 - INFO - __main__ - Num examples = 326
11/03/2023 12:30:39 - INFO - __main__ - Batch size = 8
11/03/2023 12:30:43 - INFO - __main__ - ***** Eval results 880 *****
11/03/2023 12:30:43 - INFO - __main__ - acc = 0.7085889570552147
11/03/2023 12:30:43 - INFO - __main__ - correct = 231
11/03/2023 12:30:43 - INFO - __main__ - f1_0 = 0.8352941176470587
11/03/2023 12:30:43 - INFO - __main__ - f1_1 = 0.14634146341463417
11/03/2023 12:30:43 - INFO - __main__ - f1_2 = 0.297029702970297
11/03/2023 12:30:43 - INFO - __main__ - macro_f1 = 0.42622176134399664
11/03/2023 12:30:43 - INFO - __main__ - num = 326
11/03/2023 12:30:43 - INFO - __main__ - prec_0 = 0.7421602787456446
11/03/2023 12:30:43 - INFO - __main__ - prec_1 = 0.2727272727272727
11/03/2023 12:30:43 - INFO - __main__ - prec_2 = 0.5357142857142857
11/03/2023 12:30:43 - INFO - __main__ - rec_0 = 0.9551569506726457
11/03/2023 12:30:43 - INFO - __main__ - rec_1 = 0.1
11/03/2023 12:30:43 - INFO - __main__ - rec_2 = 0.2054794520547945
11/03/2023 12:30:43 - INFO - __main__ - Dev accuracy = 0.7085889570552147
11/03/2023 12:30:54 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:30:54 - INFO - __main__ - ***** Running evaluation checkpoint-900 *****
11/03/2023 12:30:54 - INFO - __main__ - Num examples = 527
11/03/2023 12:30:54 - INFO - __main__ - Batch size = 8
11/03/2023 12:31:00 - INFO - __main__ - ***** Eval results checkpoint-900 *****
11/03/2023 12:31:00 - INFO - __main__ - acc = 0.6793168880455408
11/03/2023 12:31:00 - INFO - __main__ - correct = 358
11/03/2023 12:31:00 - INFO - __main__ - f1_0 = 0.8230668414154653
11/03/2023 12:31:00 - INFO - __main__ - f1_1 = 0.16161616161616163
11/03/2023 12:31:00 - INFO - __main__ - f1_2 = 0.375
11/03/2023 12:31:00 - INFO - __main__ - macro_f1 = 0.45322766767720896
11/03/2023 12:31:00 - INFO - __main__ - num = 527
11/03/2023 12:31:00 - INFO - __main__ - prec_0 = 0.7658536585365854
11/03/2023 12:31:00 - INFO - __main__ - prec_1 = 0.12903225806451613
11/03/2023 12:31:00 - INFO - __main__ - prec_2 = 0.6545454545454545
11/03/2023 12:31:00 - INFO - __main__ - rec_0 = 0.8895184135977338
11/03/2023 12:31:00 - INFO - __main__ - rec_1 = 0.21621621621621623
11/03/2023 12:31:00 - INFO - __main__ - rec_2 = 0.26277372262773724
11/03/2023 12:31:00 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:31:00 - INFO - __main__ - ***** Running evaluation 900 *****
11/03/2023 12:31:00 - INFO - __main__ - Num examples = 326
11/03/2023 12:31:00 - INFO - __main__ - Batch size = 8
11/03/2023 12:31:04 - INFO - __main__ - ***** Eval results 900 *****
11/03/2023 12:31:04 - INFO - __main__ - acc = 0.7085889570552147
11/03/2023 12:31:04 - INFO - __main__ - correct = 231
11/03/2023 12:31:04 - INFO - __main__ - f1_0 = 0.8401639344262296
11/03/2023 12:31:04 - INFO - __main__ - f1_1 = 0.1923076923076923
11/03/2023 12:31:04 - INFO - __main__ - f1_2 = 0.37500000000000006
11/03/2023 12:31:04 - INFO - __main__ - macro_f1 = 0.46915720891130724
11/03/2023 12:31:04 - INFO - __main__ - num = 326
11/03/2023 12:31:04 - INFO - __main__ - prec_0 = 0.7735849056603774
11/03/2023 12:31:04 - INFO - __main__ - prec_1 = 0.22727272727272727
11/03/2023 12:31:04 - INFO - __main__ - prec_2 = 0.5384615384615384
11/03/2023 12:31:04 - INFO - __main__ - rec_0 = 0.9192825112107623
11/03/2023 12:31:04 - INFO - __main__ - rec_1 = 0.16666666666666666
11/03/2023 12:31:04 - INFO - __main__ - rec_2 = 0.2876712328767123
11/03/2023 12:31:04 - INFO - __main__ - Dev accuracy = 0.7085889570552147
11/03/2023 12:31:16 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:31:16 - INFO - __main__ - ***** Running evaluation checkpoint-920 *****
11/03/2023 12:31:16 - INFO - __main__ - Num examples = 527
11/03/2023 12:31:16 - INFO - __main__ - Batch size = 8
11/03/2023 12:31:22 - INFO - __main__ - ***** Eval results checkpoint-920 *****
11/03/2023 12:31:22 - INFO - __main__ - acc = 0.6944971537001897
11/03/2023 12:31:22 - INFO - __main__ - correct = 366
11/03/2023 12:31:22 - INFO - __main__ - f1_0 = 0.8298136645962733
11/03/2023 12:31:22 - INFO - __main__ - f1_1 = 0.13333333333333333
11/03/2023 12:31:22 - INFO - __main__ - f1_2 = 0.3103448275862069
11/03/2023 12:31:22 - INFO - __main__ - macro_f1 = 0.4244972751719378
11/03/2023 12:31:22 - INFO - __main__ - num = 527
11/03/2023 12:31:22 - INFO - __main__ - prec_0 = 0.7389380530973452
11/03/2023 12:31:22 - INFO - __main__ - prec_1 = 0.13157894736842105
11/03/2023 12:31:22 - INFO - __main__ - prec_2 = 0.7297297297297297
11/03/2023 12:31:22 - INFO - __main__ - rec_0 = 0.9461756373937678
11/03/2023 12:31:22 - INFO - __main__ - rec_1 = 0.13513513513513514
11/03/2023 12:31:22 - INFO - __main__ - rec_2 = 0.19708029197080293
11/03/2023 12:31:22 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:31:22 - INFO - __main__ - ***** Running evaluation 920 *****
11/03/2023 12:31:22 - INFO - __main__ - Num examples = 326
11/03/2023 12:31:22 - INFO - __main__ - Batch size = 8
11/03/2023 12:31:26 - INFO - __main__ - ***** Eval results 920 *****
11/03/2023 12:31:26 - INFO - __main__ - acc = 0.7085889570552147
11/03/2023 12:31:26 - INFO - __main__ - correct = 231
11/03/2023 12:31:26 - INFO - __main__ - f1_0 = 0.8330058939096266
11/03/2023 12:31:26 - INFO - __main__ - f1_1 = 0.21739130434782608
11/03/2023 12:31:26 - INFO - __main__ - f1_2 = 0.288659793814433
11/03/2023 12:31:26 - INFO - __main__ - macro_f1 = 0.4463523306906286
11/03/2023 12:31:26 - INFO - __main__ - num = 326
11/03/2023 12:31:26 - INFO - __main__ - prec_0 = 0.7412587412587412
11/03/2023 12:31:26 - INFO - __main__ - prec_1 = 0.3125
11/03/2023 12:31:26 - INFO - __main__ - prec_2 = 0.5833333333333334
11/03/2023 12:31:26 - INFO - __main__ - rec_0 = 0.9506726457399103
11/03/2023 12:31:26 - INFO - __main__ - rec_1 = 0.16666666666666666
11/03/2023 12:31:26 - INFO - __main__ - rec_2 = 0.1917808219178082
11/03/2023 12:31:26 - INFO - __main__ - Dev accuracy = 0.7085889570552147
11/03/2023 12:31:37 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:31:37 - INFO - __main__ - ***** Running evaluation checkpoint-940 *****
11/03/2023 12:31:37 - INFO - __main__ - Num examples = 527
11/03/2023 12:31:37 - INFO - __main__ - Batch size = 8
11/03/2023 12:31:43 - INFO - __main__ - ***** Eval results checkpoint-940 *****
11/03/2023 12:31:43 - INFO - __main__ - acc = 0.6907020872865275
11/03/2023 12:31:43 - INFO - __main__ - correct = 364
11/03/2023 12:31:43 - INFO - __main__ - f1_0 = 0.8272383354350568
11/03/2023 12:31:43 - INFO - __main__ - f1_1 = 0.12345679012345678
11/03/2023 12:31:43 - INFO - __main__ - f1_2 = 0.34444444444444444
11/03/2023 12:31:43 - INFO - __main__ - macro_f1 = 0.431713190000986
11/03/2023 12:31:43 - INFO - __main__ - num = 527
11/03/2023 12:31:43 - INFO - __main__ - prec_0 = 0.7454545454545455
11/03/2023 12:31:43 - INFO - __main__ - prec_1 = 0.11363636363636363
11/03/2023 12:31:43 - INFO - __main__ - prec_2 = 0.7209302325581395
11/03/2023 12:31:43 - INFO - __main__ - rec_0 = 0.9291784702549575
11/03/2023 12:31:43 - INFO - __main__ - rec_1 = 0.13513513513513514
11/03/2023 12:31:43 - INFO - __main__ - rec_2 = 0.22627737226277372
11/03/2023 12:31:43 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:31:43 - INFO - __main__ - ***** Running evaluation 940 *****
11/03/2023 12:31:43 - INFO - __main__ - Num examples = 326
11/03/2023 12:31:43 - INFO - __main__ - Batch size = 8
11/03/2023 12:31:47 - INFO - __main__ - ***** Eval results 940 *****
11/03/2023 12:31:47 - INFO - __main__ - acc = 0.7177914110429447
11/03/2023 12:31:47 - INFO - __main__ - correct = 234
11/03/2023 12:31:47 - INFO - __main__ - f1_0 = 0.8439999999999999
11/03/2023 12:31:47 - INFO - __main__ - f1_1 = 0.20833333333333334
11/03/2023 12:31:47 - INFO - __main__ - f1_2 = 0.34615384615384615
11/03/2023 12:31:47 - INFO - __main__ - macro_f1 = 0.46616239316239305
11/03/2023 12:31:47 - INFO - __main__ - num = 326
11/03/2023 12:31:47 - INFO - __main__ - prec_0 = 0.7617328519855595
11/03/2023 12:31:47 - INFO - __main__ - prec_1 = 0.2777777777777778
11/03/2023 12:31:47 - INFO - __main__ - prec_2 = 0.5806451612903226
11/03/2023 12:31:47 - INFO - __main__ - rec_0 = 0.9461883408071748
11/03/2023 12:31:47 - INFO - __main__ - rec_1 = 0.16666666666666666
11/03/2023 12:31:47 - INFO - __main__ - rec_2 = 0.2465753424657534
11/03/2023 12:31:47 - INFO - __main__ - Dev accuracy = 0.7177914110429447
11/03/2023 12:31:47 - INFO - __main__ - result['acc']=0.7177914110429447 > best_score=0.7147239263803681
11/03/2023 12:31:49 - INFO - __main__ - Saving model checkpoint to ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//checkpoint-best
11/03/2023 12:31:51 - INFO - __main__ - Saving optimizer and scheduler states to ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//checkpoint-best
11/03/2023 12:32:03 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:32:03 - INFO - __main__ - ***** Running evaluation checkpoint-960 *****
11/03/2023 12:32:03 - INFO - __main__ - Num examples = 527
11/03/2023 12:32:03 - INFO - __main__ - Batch size = 8
11/03/2023 12:32:09 - INFO - __main__ - ***** Eval results checkpoint-960 *****
11/03/2023 12:32:09 - INFO - __main__ - acc = 0.6907020872865275
11/03/2023 12:32:09 - INFO - __main__ - correct = 364
11/03/2023 12:32:09 - INFO - __main__ - f1_0 = 0.8297604035308953
11/03/2023 12:32:09 - INFO - __main__ - f1_1 = 0.12048192771084337
11/03/2023 12:32:09 - INFO - __main__ - f1_2 = 0.33707865168539325
11/03/2023 12:32:09 - INFO - __main__ - macro_f1 = 0.429106994309044
11/03/2023 12:32:09 - INFO - __main__ - num = 527
11/03/2023 12:32:09 - INFO - __main__ - prec_0 = 0.7477272727272727
11/03/2023 12:32:09 - INFO - __main__ - prec_1 = 0.10869565217391304
11/03/2023 12:32:09 - INFO - __main__ - prec_2 = 0.7317073170731707
11/03/2023 12:32:09 - INFO - __main__ - rec_0 = 0.9320113314447592
11/03/2023 12:32:09 - INFO - __main__ - rec_1 = 0.13513513513513514
11/03/2023 12:32:09 - INFO - __main__ - rec_2 = 0.21897810218978103
11/03/2023 12:32:09 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:32:09 - INFO - __main__ - ***** Running evaluation 960 *****
11/03/2023 12:32:09 - INFO - __main__ - Num examples = 326
11/03/2023 12:32:09 - INFO - __main__ - Batch size = 8
11/03/2023 12:32:13 - INFO - __main__ - ***** Eval results 960 *****
11/03/2023 12:32:13 - INFO - __main__ - acc = 0.7177914110429447
11/03/2023 12:32:13 - INFO - __main__ - correct = 234
11/03/2023 12:32:13 - INFO - __main__ - f1_0 = 0.8423153692614771
11/03/2023 12:32:13 - INFO - __main__ - f1_1 = 0.21276595744680848
11/03/2023 12:32:13 - INFO - __main__ - f1_2 = 0.34615384615384615
11/03/2023 12:32:13 - INFO - __main__ - macro_f1 = 0.46707839095404396
11/03/2023 12:32:13 - INFO - __main__ - num = 326
11/03/2023 12:32:13 - INFO - __main__ - prec_0 = 0.7589928057553957
11/03/2023 12:32:13 - INFO - __main__ - prec_1 = 0.29411764705882354
11/03/2023 12:32:13 - INFO - __main__ - prec_2 = 0.5806451612903226
11/03/2023 12:32:13 - INFO - __main__ - rec_0 = 0.9461883408071748
11/03/2023 12:32:13 - INFO - __main__ - rec_1 = 0.16666666666666666
11/03/2023 12:32:13 - INFO - __main__ - rec_2 = 0.2465753424657534
11/03/2023 12:32:13 - INFO - __main__ - Dev accuracy = 0.7177914110429447
11/03/2023 12:32:24 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:32:24 - INFO - __main__ - ***** Running evaluation checkpoint-980 *****
11/03/2023 12:32:24 - INFO - __main__ - Num examples = 527
11/03/2023 12:32:24 - INFO - __main__ - Batch size = 8
11/03/2023 12:32:30 - INFO - __main__ - ***** Eval results checkpoint-980 *****
11/03/2023 12:32:30 - INFO - __main__ - acc = 0.6925996204933587
11/03/2023 12:32:30 - INFO - __main__ - correct = 365
11/03/2023 12:32:30 - INFO - __main__ - f1_0 = 0.8287153652392947
11/03/2023 12:32:30 - INFO - __main__ - f1_1 = 0.125
11/03/2023 12:32:30 - INFO - __main__ - f1_2 = 0.34444444444444444
11/03/2023 12:32:30 - INFO - __main__ - macro_f1 = 0.4327199365612464
11/03/2023 12:32:30 - INFO - __main__ - num = 527
11/03/2023 12:32:30 - INFO - __main__ - prec_0 = 0.746031746031746
11/03/2023 12:32:30 - INFO - __main__ - prec_1 = 0.11627906976744186
11/03/2023 12:32:30 - INFO - __main__ - prec_2 = 0.7209302325581395
11/03/2023 12:32:30 - INFO - __main__ - rec_0 = 0.9320113314447592
11/03/2023 12:32:30 - INFO - __main__ - rec_1 = 0.13513513513513514
11/03/2023 12:32:30 - INFO - __main__ - rec_2 = 0.22627737226277372
11/03/2023 12:32:30 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:32:30 - INFO - __main__ - ***** Running evaluation 980 *****
11/03/2023 12:32:30 - INFO - __main__ - Num examples = 326
11/03/2023 12:32:30 - INFO - __main__ - Batch size = 8
11/03/2023 12:32:34 - INFO - __main__ - ***** Eval results 980 *****
11/03/2023 12:32:34 - INFO - __main__ - acc = 0.7085889570552147
11/03/2023 12:32:34 - INFO - __main__ - correct = 231
11/03/2023 12:32:34 - INFO - __main__ - f1_0 = 0.8389662027833003
11/03/2023 12:32:34 - INFO - __main__ - f1_1 = 0.1739130434782609
11/03/2023 12:32:34 - INFO - __main__ - f1_2 = 0.3106796116504854
11/03/2023 12:32:34 - INFO - __main__ - macro_f1 = 0.44118628597068216
11/03/2023 12:32:34 - INFO - __main__ - num = 326
11/03/2023 12:32:34 - INFO - __main__ - prec_0 = 0.7535714285714286
11/03/2023 12:32:34 - INFO - __main__ - prec_1 = 0.25
11/03/2023 12:32:34 - INFO - __main__ - prec_2 = 0.5333333333333333
11/03/2023 12:32:34 - INFO - __main__ - rec_0 = 0.9461883408071748
11/03/2023 12:32:34 - INFO - __main__ - rec_1 = 0.13333333333333333
11/03/2023 12:32:34 - INFO - __main__ - rec_2 = 0.2191780821917808
11/03/2023 12:32:34 - INFO - __main__ - Dev accuracy = 0.7085889570552147
11/03/2023 12:32:45 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:32:45 - INFO - __main__ - ***** Running evaluation checkpoint-1000 *****
11/03/2023 12:32:45 - INFO - __main__ - Num examples = 527
11/03/2023 12:32:45 - INFO - __main__ - Batch size = 8
11/03/2023 12:32:52 - INFO - __main__ - ***** Eval results checkpoint-1000 *****
11/03/2023 12:32:52 - INFO - __main__ - acc = 0.6907020872865275
11/03/2023 12:32:52 - INFO - __main__ - correct = 364
11/03/2023 12:32:52 - INFO - __main__ - f1_0 = 0.8283582089552238
11/03/2023 12:32:52 - INFO - __main__ - f1_1 = 0.12987012987012989
11/03/2023 12:32:52 - INFO - __main__ - f1_2 = 0.3005780346820809
11/03/2023 12:32:52 - INFO - __main__ - macro_f1 = 0.4196021245024782
11/03/2023 12:32:52 - INFO - __main__ - num = 527
11/03/2023 12:32:52 - INFO - __main__ - prec_0 = 0.738359201773836
11/03/2023 12:32:52 - INFO - __main__ - prec_1 = 0.125
11/03/2023 12:32:52 - INFO - __main__ - prec_2 = 0.7222222222222222
11/03/2023 12:32:52 - INFO - __main__ - rec_0 = 0.943342776203966
11/03/2023 12:32:52 - INFO - __main__ - rec_1 = 0.13513513513513514
11/03/2023 12:32:52 - INFO - __main__ - rec_2 = 0.1897810218978102
11/03/2023 12:32:52 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:32:52 - INFO - __main__ - ***** Running evaluation 1000 *****
11/03/2023 12:32:52 - INFO - __main__ - Num examples = 326
11/03/2023 12:32:52 - INFO - __main__ - Batch size = 8
11/03/2023 12:32:55 - INFO - __main__ - ***** Eval results 1000 *****
11/03/2023 12:32:55 - INFO - __main__ - acc = 0.7147239263803681
11/03/2023 12:32:55 - INFO - __main__ - correct = 233
11/03/2023 12:32:55 - INFO - __main__ - f1_0 = 0.8362919132149902
11/03/2023 12:32:55 - INFO - __main__ - f1_1 = 0.21739130434782608
11/03/2023 12:32:55 - INFO - __main__ - f1_2 = 0.3232323232323232
11/03/2023 12:32:55 - INFO - __main__ - macro_f1 = 0.4589718469317132
11/03/2023 12:32:55 - INFO - __main__ - num = 326
11/03/2023 12:32:55 - INFO - __main__ - prec_0 = 0.7464788732394366
11/03/2023 12:32:55 - INFO - __main__ - prec_1 = 0.3125
11/03/2023 12:32:55 - INFO - __main__ - prec_2 = 0.6153846153846154
11/03/2023 12:32:55 - INFO - __main__ - rec_0 = 0.9506726457399103
11/03/2023 12:32:55 - INFO - __main__ - rec_1 = 0.16666666666666666
11/03/2023 12:32:55 - INFO - __main__ - rec_2 = 0.2191780821917808
11/03/2023 12:32:55 - INFO - __main__ - Dev accuracy = 0.7147239263803681
11/03/2023 12:33:07 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:33:07 - INFO - __main__ - ***** Running evaluation checkpoint-1020 *****
11/03/2023 12:33:07 - INFO - __main__ - Num examples = 527
11/03/2023 12:33:07 - INFO - __main__ - Batch size = 8
11/03/2023 12:33:13 - INFO - __main__ - ***** Eval results checkpoint-1020 *****
11/03/2023 12:33:13 - INFO - __main__ - acc = 0.6869070208728653
11/03/2023 12:33:13 - INFO - __main__ - correct = 362
11/03/2023 12:33:13 - INFO - __main__ - f1_0 = 0.8274999999999999
11/03/2023 12:33:13 - INFO - __main__ - f1_1 = 0.12345679012345678
11/03/2023 12:33:13 - INFO - __main__ - f1_2 = 0.3005780346820809
11/03/2023 12:33:13 - INFO - __main__ - macro_f1 = 0.41717827493517917
11/03/2023 12:33:13 - INFO - __main__ - num = 527
11/03/2023 12:33:13 - INFO - __main__ - prec_0 = 0.7404921700223713
11/03/2023 12:33:13 - INFO - __main__ - prec_1 = 0.11363636363636363
11/03/2023 12:33:13 - INFO - __main__ - prec_2 = 0.7222222222222222
11/03/2023 12:33:13 - INFO - __main__ - rec_0 = 0.9376770538243626
11/03/2023 12:33:13 - INFO - __main__ - rec_1 = 0.13513513513513514
11/03/2023 12:33:13 - INFO - __main__ - rec_2 = 0.1897810218978102
11/03/2023 12:33:13 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:33:13 - INFO - __main__ - ***** Running evaluation 1020 *****
11/03/2023 12:33:13 - INFO - __main__ - Num examples = 326
11/03/2023 12:33:13 - INFO - __main__ - Batch size = 8
11/03/2023 12:33:17 - INFO - __main__ - ***** Eval results 1020 *****
11/03/2023 12:33:17 - INFO - __main__ - acc = 0.7116564417177914
11/03/2023 12:33:17 - INFO - __main__ - correct = 232
11/03/2023 12:33:17 - INFO - __main__ - f1_0 = 0.8356435643564357
11/03/2023 12:33:17 - INFO - __main__ - f1_1 = 0.21276595744680848
11/03/2023 12:33:17 - INFO - __main__ - f1_2 = 0.32
11/03/2023 12:33:17 - INFO - __main__ - macro_f1 = 0.45613650726774807
11/03/2023 12:33:17 - INFO - __main__ - num = 326
11/03/2023 12:33:17 - INFO - __main__ - prec_0 = 0.74822695035461
11/03/2023 12:33:17 - INFO - __main__ - prec_1 = 0.29411764705882354
11/03/2023 12:33:17 - INFO - __main__ - prec_2 = 0.5925925925925926
11/03/2023 12:33:17 - INFO - __main__ - rec_0 = 0.9461883408071748
11/03/2023 12:33:17 - INFO - __main__ - rec_1 = 0.16666666666666666
11/03/2023 12:33:17 - INFO - __main__ - rec_2 = 0.2191780821917808
11/03/2023 12:33:17 - INFO - __main__ - Dev accuracy = 0.7116564417177914
11/03/2023 12:33:28 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:33:28 - INFO - __main__ - ***** Running evaluation checkpoint-1040 *****
11/03/2023 12:33:28 - INFO - __main__ - Num examples = 527
11/03/2023 12:33:28 - INFO - __main__ - Batch size = 8
11/03/2023 12:33:34 - INFO - __main__ - ***** Eval results checkpoint-1040 *****
11/03/2023 12:33:34 - INFO - __main__ - acc = 0.6944971537001897
11/03/2023 12:33:34 - INFO - __main__ - correct = 366
11/03/2023 12:33:34 - INFO - __main__ - f1_0 = 0.8293897882938979
11/03/2023 12:33:34 - INFO - __main__ - f1_1 = 0.13157894736842105
11/03/2023 12:33:34 - INFO - __main__ - f1_2 = 0.32
11/03/2023 12:33:34 - INFO - __main__ - macro_f1 = 0.4269895785541063
11/03/2023 12:33:34 - INFO - __main__ - num = 527
11/03/2023 12:33:34 - INFO - __main__ - prec_0 = 0.74
11/03/2023 12:33:34 - INFO - __main__ - prec_1 = 0.1282051282051282
11/03/2023 12:33:34 - INFO - __main__ - prec_2 = 0.7368421052631579
11/03/2023 12:33:34 - INFO - __main__ - rec_0 = 0.943342776203966
11/03/2023 12:33:34 - INFO - __main__ - rec_1 = 0.13513513513513514
11/03/2023 12:33:34 - INFO - __main__ - rec_2 = 0.20437956204379562
11/03/2023 12:33:34 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:33:34 - INFO - __main__ - ***** Running evaluation 1040 *****
11/03/2023 12:33:34 - INFO - __main__ - Num examples = 326
11/03/2023 12:33:34 - INFO - __main__ - Batch size = 8
11/03/2023 12:33:38 - INFO - __main__ - ***** Eval results 1040 *****
11/03/2023 12:33:38 - INFO - __main__ - acc = 0.7116564417177914
11/03/2023 12:33:38 - INFO - __main__ - correct = 232
11/03/2023 12:33:38 - INFO - __main__ - f1_0 = 0.8379446640316205
11/03/2023 12:33:38 - INFO - __main__ - f1_1 = 0.17777777777777776
11/03/2023 12:33:38 - INFO - __main__ - f1_2 = 0.31683168316831684
11/03/2023 12:33:38 - INFO - __main__ - macro_f1 = 0.444184708325905
11/03/2023 12:33:38 - INFO - __main__ - num = 326
11/03/2023 12:33:38 - INFO - __main__ - prec_0 = 0.7491166077738516
11/03/2023 12:33:38 - INFO - __main__ - prec_1 = 0.26666666666666666
11/03/2023 12:33:38 - INFO - __main__ - prec_2 = 0.5714285714285714
11/03/2023 12:33:38 - INFO - __main__ - rec_0 = 0.9506726457399103
11/03/2023 12:33:38 - INFO - __main__ - rec_1 = 0.13333333333333333
11/03/2023 12:33:38 - INFO - __main__ - rec_2 = 0.2191780821917808
11/03/2023 12:33:38 - INFO - __main__ - Dev accuracy = 0.7116564417177914
11/03/2023 12:33:50 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:33:50 - INFO - __main__ - ***** Running evaluation checkpoint-1060 *****
11/03/2023 12:33:50 - INFO - __main__ - Num examples = 527
11/03/2023 12:33:50 - INFO - __main__ - Batch size = 8
11/03/2023 12:33:56 - INFO - __main__ - ***** Eval results checkpoint-1060 *****
11/03/2023 12:33:56 - INFO - __main__ - acc = 0.6944971537001897
11/03/2023 12:33:56 - INFO - __main__ - correct = 366
11/03/2023 12:33:56 - INFO - __main__ - f1_0 = 0.8293897882938979
11/03/2023 12:33:56 - INFO - __main__ - f1_1 = 0.13157894736842105
11/03/2023 12:33:56 - INFO - __main__ - f1_2 = 0.32
11/03/2023 12:33:56 - INFO - __main__ - macro_f1 = 0.4269895785541063
11/03/2023 12:33:56 - INFO - __main__ - num = 527
11/03/2023 12:33:56 - INFO - __main__ - prec_0 = 0.74
11/03/2023 12:33:56 - INFO - __main__ - prec_1 = 0.1282051282051282
11/03/2023 12:33:56 - INFO - __main__ - prec_2 = 0.7368421052631579
11/03/2023 12:33:56 - INFO - __main__ - rec_0 = 0.943342776203966
11/03/2023 12:33:56 - INFO - __main__ - rec_1 = 0.13513513513513514
11/03/2023 12:33:56 - INFO - __main__ - rec_2 = 0.20437956204379562
11/03/2023 12:33:56 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:33:56 - INFO - __main__ - ***** Running evaluation 1060 *****
11/03/2023 12:33:56 - INFO - __main__ - Num examples = 326
11/03/2023 12:33:56 - INFO - __main__ - Batch size = 8
11/03/2023 12:34:00 - INFO - __main__ - ***** Eval results 1060 *****
11/03/2023 12:34:00 - INFO - __main__ - acc = 0.7116564417177914
11/03/2023 12:34:00 - INFO - __main__ - correct = 232
11/03/2023 12:34:00 - INFO - __main__ - f1_0 = 0.8379446640316205
11/03/2023 12:34:00 - INFO - __main__ - f1_1 = 0.17777777777777776
11/03/2023 12:34:00 - INFO - __main__ - f1_2 = 0.31683168316831684
11/03/2023 12:34:00 - INFO - __main__ - macro_f1 = 0.444184708325905
11/03/2023 12:34:00 - INFO - __main__ - num = 326
11/03/2023 12:34:00 - INFO - __main__ - prec_0 = 0.7491166077738516
11/03/2023 12:34:00 - INFO - __main__ - prec_1 = 0.26666666666666666
11/03/2023 12:34:00 - INFO - __main__ - prec_2 = 0.5714285714285714
11/03/2023 12:34:00 - INFO - __main__ - rec_0 = 0.9506726457399103
11/03/2023 12:34:00 - INFO - __main__ - rec_1 = 0.13333333333333333
11/03/2023 12:34:00 - INFO - __main__ - rec_2 = 0.2191780821917808
11/03/2023 12:34:00 - INFO - __main__ - Dev accuracy = 0.7116564417177914
11/03/2023 12:34:00 - INFO - __main__ - global_step = 1060, average loss = 0.31039862611815927
11/03/2023 12:34:00 - INFO - __main__ - best checkpoint = ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//checkpoint-best, best score = 0.7177914110429447
11/03/2023 12:34:00 - INFO - __main__ - Saving model checkpoint to ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//
11/03/2023 12:34:04 - INFO - __main__ - Evaluate the following checkpoints: ['./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256/checkpoint-best', './outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256']
11/03/2023 12:34:06 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:34:06 - INFO - __main__ - ***** Running evaluation checkpoint-best *****
11/03/2023 12:34:06 - INFO - __main__ - Num examples = 326
11/03/2023 12:34:06 - INFO - __main__ - Batch size = 8
11/03/2023 12:34:10 - INFO - __main__ - ***** Eval results checkpoint-best *****
11/03/2023 12:34:10 - INFO - __main__ - acc = 0.7177914110429447
11/03/2023 12:34:10 - INFO - __main__ - correct = 234
11/03/2023 12:34:10 - INFO - __main__ - f1_0 = 0.8439999999999999
11/03/2023 12:34:10 - INFO - __main__ - f1_1 = 0.20833333333333334
11/03/2023 12:34:10 - INFO - __main__ - f1_2 = 0.34615384615384615
11/03/2023 12:34:10 - INFO - __main__ - macro_f1 = 0.46616239316239305
11/03/2023 12:34:10 - INFO - __main__ - num = 326
11/03/2023 12:34:10 - INFO - __main__ - prec_0 = 0.7617328519855595
11/03/2023 12:34:10 - INFO - __main__ - prec_1 = 0.2777777777777778
11/03/2023 12:34:10 - INFO - __main__ - prec_2 = 0.5806451612903226
11/03/2023 12:34:10 - INFO - __main__ - rec_0 = 0.9461883408071748
11/03/2023 12:34:10 - INFO - __main__ - rec_1 = 0.16666666666666666
11/03/2023 12:34:10 - INFO - __main__ - rec_2 = 0.2465753424657534
11/03/2023 12:34:11 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 12:34:12 - INFO - __main__ - ***** Running evaluation *****
11/03/2023 12:34:12 - INFO - __main__ - Num examples = 326
11/03/2023 12:34:12 - INFO - __main__ - Batch size = 8
11/03/2023 12:34:15 - INFO - __main__ - ***** Eval results *****
11/03/2023 12:34:15 - INFO - __main__ - acc = 0.7116564417177914
11/03/2023 12:34:15 - INFO - __main__ - correct = 232
11/03/2023 12:34:15 - INFO - __main__ - f1_0 = 0.8379446640316205
11/03/2023 12:34:15 - INFO - __main__ - f1_1 = 0.17777777777777776
11/03/2023 12:34:15 - INFO - __main__ - f1_2 = 0.31683168316831684
11/03/2023 12:34:15 - INFO - __main__ - macro_f1 = 0.444184708325905
11/03/2023 12:34:15 - INFO - __main__ - num = 326
11/03/2023 12:34:15 - INFO - __main__ - prec_0 = 0.7491166077738516
11/03/2023 12:34:15 - INFO - __main__ - prec_1 = 0.26666666666666666
11/03/2023 12:34:15 - INFO - __main__ - prec_2 = 0.5714285714285714
11/03/2023 12:34:15 - INFO - __main__ - rec_0 = 0.9506726457399103
11/03/2023 12:34:15 - INFO - __main__ - rec_1 = 0.13333333333333333
11/03/2023 12:34:15 - INFO - __main__ - rec_2 = 0.2191780821917808
11/03/2023 12:34:15 - INFO - __main__ - Best checkpoint is ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256/checkpoint-best, best accuracy is 0.7177914110429447
11/03/2023 12:34:17 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 12:34:18 - INFO - __main__ - ***** Running evaluation best_checkpoint *****
11/03/2023 12:34:18 - INFO - __main__ - Num examples = 527
11/03/2023 12:34:18 - INFO - __main__ - Batch size = 8
11/03/2023 12:34:24 - INFO - __main__ - ***** Save prediction ******
11/03/2023 12:34:24 - INFO - __main__ - ***** Eval results best_checkpoint *****
11/03/2023 12:34:24 - INFO - __main__ - acc = 0.6907020872865275
11/03/2023 12:34:24 - INFO - __main__ - correct = 364
11/03/2023 12:34:24 - INFO - __main__ - f1_0 = 0.8272383354350568
11/03/2023 12:34:24 - INFO - __main__ - f1_1 = 0.12345679012345678
11/03/2023 12:34:24 - INFO - __main__ - f1_2 = 0.34444444444444444
11/03/2023 12:34:24 - INFO - __main__ - macro_f1 = 0.431713190000986
11/03/2023 12:34:24 - INFO - __main__ - num = 527
11/03/2023 12:34:24 - INFO - __main__ - prec_0 = 0.7454545454545455
11/03/2023 12:34:24 - INFO - __main__ - prec_1 = 0.11363636363636363
11/03/2023 12:34:24 - INFO - __main__ - prec_2 = 0.7209302325581395
11/03/2023 12:34:24 - INFO - __main__ - rec_0 = 0.9291784702549575
11/03/2023 12:34:24 - INFO - __main__ - rec_1 = 0.13513513513513514
11/03/2023 12:34:24 - INFO - __main__ - rec_2 = 0.22627737226277372
11/03/2023 12:34:24 - INFO - __main__ - 0.6907020872865275
11/03/2023 13:20:29 - INFO - root - Input args: Namespace(adam_epsilon=1e-08, cache_dir='', config_name='', data_dir='./data/oversample//comp', do_eval=True, do_lower_case=False, do_predict=True, do_predict_dev=False, do_train=True, eval_all_checkpoints=True, eval_test_set=True, evaluate_during_training=False, fp16=False, fp16_opt_level='O1', gradient_accumulation_steps=1, init_checkpoint=None, learning_rate=1e-05, local_rank=-1, log_file='train', logging_steps=50, max_grad_norm=1.0, max_seq_length=256, max_steps=-1, model_name_or_path='roberta-large', model_type='roberta', no_cuda=False, num_train_epochs=10.0, output_dir='./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//', overwrite_cache=False, overwrite_output_dir=True, per_gpu_eval_batch_size=8, per_gpu_train_batch_size=64, save_only_best_checkpoint=True, save_steps=20, seed=42, server_ip='', server_port='', task_name='comp', test_split='test', tokenizer_name='', train_split='train', warmup_steps=0, weight_decay=0.0)
11/03/2023 13:20:30 - WARNING - __main__ - Process rank: -1, device: cuda, n_gpu: 1, distributed training: False, 16-bits training: False
11/03/2023 13:20:31 - INFO - __main__ - config = RobertaConfig {
"architectures": [
"RobertaForMaskedLM"
],
"attention_probs_dropout_prob": 0.1,
"bos_token_id": 0,
"classifier_dropout": null,
"eos_token_id": 2,
"finetuning_task": "comp",
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 1024,
"id2label": {
"0": "LABEL_0",
"1": "LABEL_1",
"2": "LABEL_2"
},
"initializer_range": 0.02,
"intermediate_size": 4096,
"label2id": {
"LABEL_0": 0,
"LABEL_1": 1,
"LABEL_2": 2
},
"layer_norm_eps": 1e-05,
"max_position_embeddings": 514,
"model_type": "roberta",
"num_attention_heads": 16,
"num_hidden_layers": 24,
"pad_token_id": 1,
"position_embedding_type": "absolute",
"transformers_version": "4.34.1",
"type_vocab_size": 1,
"use_cache": true,
"vocab_size": 50265
}
11/03/2023 13:20:31 - INFO - __main__ - Training/evaluation parameters Namespace(adam_epsilon=1e-08, cache_dir='', config_name='', data_dir='./data/oversample//comp', device=device(type='cuda'), do_eval=True, do_lower_case=False, do_predict=True, do_predict_dev=False, do_train=True, eval_all_checkpoints=True, eval_test_set=True, evaluate_during_training=False, fp16=False, fp16_opt_level='O1', gradient_accumulation_steps=1, init_checkpoint=None, learning_rate=1e-05, local_rank=-1, log_file='train', logging_steps=50, max_grad_norm=1.0, max_seq_length=256, max_steps=-1, model_name_or_path='roberta-large', model_type='roberta', n_gpu=1, no_cuda=False, num_train_epochs=10.0, output_dir='./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//', output_mode='classification', overwrite_cache=False, overwrite_output_dir=True, per_gpu_eval_batch_size=8, per_gpu_train_batch_size=64, save_only_best_checkpoint=True, save_steps=20, seed=42, server_ip='', server_port='', task_name='comp', test_split='test', tokenizer_name='', train_split='train', warmup_steps=0, weight_decay=0.0)
11/03/2023 13:20:31 - INFO - __main__ - loading from existing model roberta-large
11/03/2023 13:20:41 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_train_roberta-large_256_comp_
11/03/2023 13:20:41 - INFO - __main__ - ***** Running training *****
11/03/2023 13:20:41 - INFO - __main__ - Num examples = 1696
11/03/2023 13:20:41 - INFO - __main__ - Num Epochs = 10
11/03/2023 13:20:41 - INFO - __main__ - Instantaneous batch size per GPU = 64
11/03/2023 13:20:41 - INFO - __main__ - Total train batch size (w. parallel, distributed & accumulation) = 64
11/03/2023 13:20:41 - INFO - __main__ - Gradient Accumulation steps = 1
11/03/2023 13:20:41 - INFO - __main__ - Total optimization steps = 270
11/03/2023 13:21:25 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 13:21:25 - INFO - __main__ - ***** Running evaluation checkpoint-20 *****
11/03/2023 13:21:25 - INFO - __main__ - Num examples = 527
11/03/2023 13:21:25 - INFO - __main__ - Batch size = 8
11/03/2023 13:21:31 - INFO - __main__ - ***** Eval results checkpoint-20 *****
11/03/2023 13:21:31 - INFO - __main__ - acc = 0.6698292220113852
11/03/2023 13:21:31 - INFO - __main__ - correct = 353
11/03/2023 13:21:31 - INFO - __main__ - f1_0 = 0.8022727272727272
11/03/2023 13:21:31 - INFO - __main__ - f1_1 = 0
11/03/2023 13:21:31 - INFO - __main__ - f1_2 = 0
11/03/2023 13:21:31 - INFO - __main__ - macro_f1 = 0.2674242424242424
11/03/2023 13:21:31 - INFO - __main__ - num = 527
11/03/2023 13:21:31 - INFO - __main__ - prec_0 = 0.6698292220113852
11/03/2023 13:21:31 - INFO - __main__ - prec_1 = 0.0
11/03/2023 13:21:31 - INFO - __main__ - prec_2 = 0.0
11/03/2023 13:21:31 - INFO - __main__ - rec_0 = 1.0
11/03/2023 13:21:31 - INFO - __main__ - rec_1 = 0.0
11/03/2023 13:21:31 - INFO - __main__ - rec_2 = 0.0
11/03/2023 13:21:31 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 13:21:32 - INFO - __main__ - ***** Running evaluation 20 *****
11/03/2023 13:21:32 - INFO - __main__ - Num examples = 326
11/03/2023 13:21:32 - INFO - __main__ - Batch size = 8
11/03/2023 13:21:35 - INFO - __main__ - ***** Eval results 20 *****
11/03/2023 13:21:35 - INFO - __main__ - acc = 0.6840490797546013
11/03/2023 13:21:35 - INFO - __main__ - correct = 223
11/03/2023 13:21:35 - INFO - __main__ - f1_0 = 0.8123861566484518
11/03/2023 13:21:35 - INFO - __main__ - f1_1 = 0
11/03/2023 13:21:35 - INFO - __main__ - f1_2 = 0
11/03/2023 13:21:35 - INFO - __main__ - macro_f1 = 0.27079538554948396
11/03/2023 13:21:35 - INFO - __main__ - num = 326
11/03/2023 13:21:35 - INFO - __main__ - prec_0 = 0.6840490797546013
11/03/2023 13:21:35 - INFO - __main__ - prec_1 = 0.0
11/03/2023 13:21:35 - INFO - __main__ - prec_2 = 0.0
11/03/2023 13:21:35 - INFO - __main__ - rec_0 = 1.0
11/03/2023 13:21:35 - INFO - __main__ - rec_1 = 0.0
11/03/2023 13:21:35 - INFO - __main__ - rec_2 = 0.0
11/03/2023 13:21:35 - INFO - __main__ - Dev accuracy = 0.6840490797546013
11/03/2023 13:21:35 - INFO - __main__ - result['acc']=0.6840490797546013 > best_score=0
11/03/2023 13:21:37 - INFO - __main__ - Saving model checkpoint to ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//checkpoint-best
11/03/2023 13:21:39 - INFO - __main__ - Saving optimizer and scheduler states to ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//checkpoint-best
11/03/2023 13:22:18 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 13:22:18 - INFO - __main__ - ***** Running evaluation checkpoint-40 *****
11/03/2023 13:22:18 - INFO - __main__ - Num examples = 527
11/03/2023 13:22:18 - INFO - __main__ - Batch size = 8
11/03/2023 13:22:24 - INFO - __main__ - ***** Eval results checkpoint-40 *****
11/03/2023 13:22:24 - INFO - __main__ - acc = 0.6698292220113852
11/03/2023 13:22:24 - INFO - __main__ - correct = 353
11/03/2023 13:22:24 - INFO - __main__ - f1_0 = 0.8022727272727272
11/03/2023 13:22:24 - INFO - __main__ - f1_1 = 0
11/03/2023 13:22:24 - INFO - __main__ - f1_2 = 0
11/03/2023 13:22:24 - INFO - __main__ - macro_f1 = 0.2674242424242424
11/03/2023 13:22:24 - INFO - __main__ - num = 527
11/03/2023 13:22:24 - INFO - __main__ - prec_0 = 0.6698292220113852
11/03/2023 13:22:24 - INFO - __main__ - prec_1 = 0.0
11/03/2023 13:22:24 - INFO - __main__ - prec_2 = 0.0
11/03/2023 13:22:24 - INFO - __main__ - rec_0 = 1.0
11/03/2023 13:22:24 - INFO - __main__ - rec_1 = 0.0
11/03/2023 13:22:24 - INFO - __main__ - rec_2 = 0.0
11/03/2023 13:22:24 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 13:22:24 - INFO - __main__ - ***** Running evaluation 40 *****
11/03/2023 13:22:24 - INFO - __main__ - Num examples = 326
11/03/2023 13:22:24 - INFO - __main__ - Batch size = 8
11/03/2023 13:22:28 - INFO - __main__ - ***** Eval results 40 *****
11/03/2023 13:22:28 - INFO - __main__ - acc = 0.6840490797546013
11/03/2023 13:22:28 - INFO - __main__ - correct = 223
11/03/2023 13:22:28 - INFO - __main__ - f1_0 = 0.8123861566484518
11/03/2023 13:22:28 - INFO - __main__ - f1_1 = 0
11/03/2023 13:22:28 - INFO - __main__ - f1_2 = 0
11/03/2023 13:22:28 - INFO - __main__ - macro_f1 = 0.27079538554948396
11/03/2023 13:22:28 - INFO - __main__ - num = 326
11/03/2023 13:22:28 - INFO - __main__ - prec_0 = 0.6840490797546013
11/03/2023 13:22:28 - INFO - __main__ - prec_1 = 0.0
11/03/2023 13:22:28 - INFO - __main__ - prec_2 = 0.0
11/03/2023 13:22:28 - INFO - __main__ - rec_0 = 1.0
11/03/2023 13:22:28 - INFO - __main__ - rec_1 = 0.0
11/03/2023 13:22:28 - INFO - __main__ - rec_2 = 0.0
11/03/2023 13:22:28 - INFO - __main__ - Dev accuracy = 0.6840490797546013
11/03/2023 13:23:07 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 13:23:07 - INFO - __main__ - ***** Running evaluation checkpoint-60 *****
11/03/2023 13:23:07 - INFO - __main__ - Num examples = 527
11/03/2023 13:23:07 - INFO - __main__ - Batch size = 8
11/03/2023 13:23:14 - INFO - __main__ - ***** Eval results checkpoint-60 *****
11/03/2023 13:23:14 - INFO - __main__ - acc = 0.6717267552182163
11/03/2023 13:23:14 - INFO - __main__ - correct = 354
11/03/2023 13:23:14 - INFO - __main__ - f1_0 = 0.8031854379977247
11/03/2023 13:23:14 - INFO - __main__ - f1_1 = 0.052631578947368425
11/03/2023 13:23:14 - INFO - __main__ - f1_2 = 0
11/03/2023 13:23:14 - INFO - __main__ - macro_f1 = 0.28527233898169774
11/03/2023 13:23:14 - INFO - __main__ - num = 527
11/03/2023 13:23:14 - INFO - __main__ - prec_0 = 0.6711026615969582
11/03/2023 13:23:14 - INFO - __main__ - prec_1 = 1.0
11/03/2023 13:23:14 - INFO - __main__ - prec_2 = 0.0
11/03/2023 13:23:14 - INFO - __main__ - rec_0 = 1.0
11/03/2023 13:23:14 - INFO - __main__ - rec_1 = 0.02702702702702703
11/03/2023 13:23:14 - INFO - __main__ - rec_2 = 0.0
11/03/2023 13:23:14 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 13:23:14 - INFO - __main__ - ***** Running evaluation 60 *****
11/03/2023 13:23:14 - INFO - __main__ - Num examples = 326
11/03/2023 13:23:14 - INFO - __main__ - Batch size = 8
11/03/2023 13:23:17 - INFO - __main__ - ***** Eval results 60 *****
11/03/2023 13:23:17 - INFO - __main__ - acc = 0.6840490797546013
11/03/2023 13:23:17 - INFO - __main__ - correct = 223
11/03/2023 13:23:17 - INFO - __main__ - f1_0 = 0.8123861566484518
11/03/2023 13:23:17 - INFO - __main__ - f1_1 = 0
11/03/2023 13:23:17 - INFO - __main__ - f1_2 = 0
11/03/2023 13:23:17 - INFO - __main__ - macro_f1 = 0.27079538554948396
11/03/2023 13:23:17 - INFO - __main__ - num = 326
11/03/2023 13:23:17 - INFO - __main__ - prec_0 = 0.6840490797546013
11/03/2023 13:23:17 - INFO - __main__ - prec_1 = 0.0
11/03/2023 13:23:17 - INFO - __main__ - prec_2 = 0.0
11/03/2023 13:23:17 - INFO - __main__ - rec_0 = 1.0
11/03/2023 13:23:17 - INFO - __main__ - rec_1 = 0.0
11/03/2023 13:23:17 - INFO - __main__ - rec_2 = 0.0
11/03/2023 13:23:17 - INFO - __main__ - Dev accuracy = 0.6840490797546013
11/03/2023 13:23:58 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 13:23:58 - INFO - __main__ - ***** Running evaluation checkpoint-80 *****
11/03/2023 13:23:58 - INFO - __main__ - Num examples = 527
11/03/2023 13:23:58 - INFO - __main__ - Batch size = 8
11/03/2023 13:24:04 - INFO - __main__ - ***** Eval results checkpoint-80 *****
11/03/2023 13:24:04 - INFO - __main__ - acc = 0.6774193548387096
11/03/2023 13:24:04 - INFO - __main__ - correct = 357
11/03/2023 13:24:04 - INFO - __main__ - f1_0 = 0.8059360730593608
11/03/2023 13:24:04 - INFO - __main__ - f1_1 = 0.052631578947368425
11/03/2023 13:24:04 - INFO - __main__ - f1_2 = 0.04285714285714286
11/03/2023 13:24:04 - INFO - __main__ - macro_f1 = 0.3004749316212907
11/03/2023 13:24:04 - INFO - __main__ - num = 527
11/03/2023 13:24:04 - INFO - __main__ - prec_0 = 0.6749521988527725
11/03/2023 13:24:04 - INFO - __main__ - prec_1 = 1.0
11/03/2023 13:24:04 - INFO - __main__ - prec_2 = 1.0
11/03/2023 13:24:04 - INFO - __main__ - rec_0 = 1.0
11/03/2023 13:24:04 - INFO - __main__ - rec_1 = 0.02702702702702703
11/03/2023 13:24:04 - INFO - __main__ - rec_2 = 0.021897810218978103
11/03/2023 13:24:04 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 13:24:04 - INFO - __main__ - ***** Running evaluation 80 *****
11/03/2023 13:24:04 - INFO - __main__ - Num examples = 326
11/03/2023 13:24:04 - INFO - __main__ - Batch size = 8
11/03/2023 13:24:08 - INFO - __main__ - ***** Eval results 80 *****
11/03/2023 13:24:08 - INFO - __main__ - acc = 0.6871165644171779
11/03/2023 13:24:08 - INFO - __main__ - correct = 224
11/03/2023 13:24:08 - INFO - __main__ - f1_0 = 0.8138686131386861
11/03/2023 13:24:08 - INFO - __main__ - f1_1 = 0
11/03/2023 13:24:08 - INFO - __main__ - f1_2 = 0.027027027027027025
11/03/2023 13:24:08 - INFO - __main__ - macro_f1 = 0.28029854672190435
11/03/2023 13:24:08 - INFO - __main__ - num = 326
11/03/2023 13:24:08 - INFO - __main__ - prec_0 = 0.6861538461538461
11/03/2023 13:24:08 - INFO - __main__ - prec_1 = 0.0
11/03/2023 13:24:08 - INFO - __main__ - prec_2 = 1.0
11/03/2023 13:24:08 - INFO - __main__ - rec_0 = 1.0
11/03/2023 13:24:08 - INFO - __main__ - rec_1 = 0.0
11/03/2023 13:24:08 - INFO - __main__ - rec_2 = 0.0136986301369863
11/03/2023 13:24:08 - INFO - __main__ - Dev accuracy = 0.6871165644171779
11/03/2023 13:24:08 - INFO - __main__ - result['acc']=0.6871165644171779 > best_score=0.6840490797546013
11/03/2023 13:24:09 - INFO - __main__ - Saving model checkpoint to ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//checkpoint-best
11/03/2023 13:24:11 - INFO - __main__ - Saving optimizer and scheduler states to ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//checkpoint-best
11/03/2023 13:24:51 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 13:24:51 - INFO - __main__ - ***** Running evaluation checkpoint-100 *****
11/03/2023 13:24:51 - INFO - __main__ - Num examples = 527
11/03/2023 13:24:51 - INFO - __main__ - Batch size = 8
11/03/2023 13:24:57 - INFO - __main__ - ***** Eval results checkpoint-100 *****
11/03/2023 13:24:57 - INFO - __main__ - acc = 0.7001897533206831
11/03/2023 13:24:57 - INFO - __main__ - correct = 369
11/03/2023 13:24:57 - INFO - __main__ - f1_0 = 0.8305084745762712
11/03/2023 13:24:57 - INFO - __main__ - f1_1 = 0.125
11/03/2023 13:24:57 - INFO - __main__ - f1_2 = 0.26829268292682923
11/03/2023 13:24:57 - INFO - __main__ - macro_f1 = 0.40793371916770016
11/03/2023 13:24:57 - INFO - __main__ - num = 527
11/03/2023 13:24:57 - INFO - __main__ - prec_0 = 0.7251585623678647
11/03/2023 13:24:57 - INFO - __main__ - prec_1 = 0.14814814814814814
11/03/2023 13:24:57 - INFO - __main__ - prec_2 = 0.8148148148148148
11/03/2023 13:24:57 - INFO - __main__ - rec_0 = 0.9716713881019831
11/03/2023 13:24:57 - INFO - __main__ - rec_1 = 0.10810810810810811
11/03/2023 13:24:57 - INFO - __main__ - rec_2 = 0.16058394160583941
11/03/2023 13:24:57 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 13:24:57 - INFO - __main__ - ***** Running evaluation 100 *****
11/03/2023 13:24:57 - INFO - __main__ - Num examples = 326
11/03/2023 13:24:57 - INFO - __main__ - Batch size = 8
11/03/2023 13:25:01 - INFO - __main__ - ***** Eval results 100 *****
11/03/2023 13:25:01 - INFO - __main__ - acc = 0.7055214723926381
11/03/2023 13:25:01 - INFO - __main__ - correct = 230
11/03/2023 13:25:01 - INFO - __main__ - f1_0 = 0.8326848249027237
11/03/2023 13:25:01 - INFO - __main__ - f1_1 = 0.13953488372093023
11/03/2023 13:25:01 - INFO - __main__ - f1_2 = 0.2736842105263158
11/03/2023 13:25:01 - INFO - __main__ - macro_f1 = 0.41530130638332324
11/03/2023 13:25:01 - INFO - __main__ - num = 326
11/03/2023 13:25:01 - INFO - __main__ - prec_0 = 0.7353951890034365
11/03/2023 13:25:01 - INFO - __main__ - prec_1 = 0.23076923076923078
11/03/2023 13:25:01 - INFO - __main__ - prec_2 = 0.5909090909090909
11/03/2023 13:25:01 - INFO - __main__ - rec_0 = 0.9596412556053812
11/03/2023 13:25:01 - INFO - __main__ - rec_1 = 0.1
11/03/2023 13:25:01 - INFO - __main__ - rec_2 = 0.1780821917808219
11/03/2023 13:25:01 - INFO - __main__ - Dev accuracy = 0.7055214723926381
11/03/2023 13:25:01 - INFO - __main__ - result['acc']=0.7055214723926381 > best_score=0.6871165644171779
11/03/2023 13:25:02 - INFO - __main__ - Saving model checkpoint to ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//checkpoint-best
11/03/2023 13:25:05 - INFO - __main__ - Saving optimizer and scheduler states to ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//checkpoint-best
11/03/2023 13:25:44 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 13:25:44 - INFO - __main__ - ***** Running evaluation checkpoint-120 *****
11/03/2023 13:25:44 - INFO - __main__ - Num examples = 527
11/03/2023 13:25:44 - INFO - __main__ - Batch size = 8
11/03/2023 13:25:50 - INFO - __main__ - ***** Eval results checkpoint-120 *****
11/03/2023 13:25:50 - INFO - __main__ - acc = 0.7286527514231499
11/03/2023 13:25:50 - INFO - __main__ - correct = 384
11/03/2023 13:25:50 - INFO - __main__ - f1_0 = 0.838235294117647
11/03/2023 13:25:50 - INFO - __main__ - f1_1 = 0.2105263157894737
11/03/2023 13:25:50 - INFO - __main__ - f1_2 = 0.39779005524861877
11/03/2023 13:25:50 - INFO - __main__ - macro_f1 = 0.48218388838524645
11/03/2023 13:25:50 - INFO - __main__ - num = 527
11/03/2023 13:25:50 - INFO - __main__ - prec_0 = 0.7386609071274298
11/03/2023 13:25:50 - INFO - __main__ - prec_1 = 0.3
11/03/2023 13:25:50 - INFO - __main__ - prec_2 = 0.8181818181818182
11/03/2023 13:25:50 - INFO - __main__ - rec_0 = 0.9688385269121813
11/03/2023 13:25:50 - INFO - __main__ - rec_1 = 0.16216216216216217
11/03/2023 13:25:50 - INFO - __main__ - rec_2 = 0.26277372262773724
11/03/2023 13:25:50 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 13:25:50 - INFO - __main__ - ***** Running evaluation 120 *****
11/03/2023 13:25:50 - INFO - __main__ - Num examples = 326
11/03/2023 13:25:50 - INFO - __main__ - Batch size = 8
11/03/2023 13:25:54 - INFO - __main__ - ***** Eval results 120 *****
11/03/2023 13:25:54 - INFO - __main__ - acc = 0.7239263803680982
11/03/2023 13:25:54 - INFO - __main__ - correct = 236
11/03/2023 13:25:54 - INFO - __main__ - f1_0 = 0.8452380952380952
11/03/2023 13:25:54 - INFO - __main__ - f1_1 = 0.18181818181818182
11/03/2023 13:25:54 - INFO - __main__ - f1_2 = 0.36538461538461536
11/03/2023 13:25:54 - INFO - __main__ - macro_f1 = 0.46414696414696416
11/03/2023 13:25:54 - INFO - __main__ - num = 326
11/03/2023 13:25:54 - INFO - __main__ - prec_0 = 0.7580071174377224
11/03/2023 13:25:54 - INFO - __main__ - prec_1 = 0.2857142857142857
11/03/2023 13:25:54 - INFO - __main__ - prec_2 = 0.6129032258064516
11/03/2023 13:25:54 - INFO - __main__ - rec_0 = 0.9551569506726457
11/03/2023 13:25:54 - INFO - __main__ - rec_1 = 0.13333333333333333
11/03/2023 13:25:54 - INFO - __main__ - rec_2 = 0.2602739726027397
11/03/2023 13:25:54 - INFO - __main__ - Dev accuracy = 0.7239263803680982
11/03/2023 13:25:54 - INFO - __main__ - result['acc']=0.7239263803680982 > best_score=0.7055214723926381
11/03/2023 13:25:56 - INFO - __main__ - Saving model checkpoint to ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//checkpoint-best
11/03/2023 13:25:58 - INFO - __main__ - Saving optimizer and scheduler states to ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//checkpoint-best
11/03/2023 13:26:38 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 13:26:38 - INFO - __main__ - ***** Running evaluation checkpoint-140 *****
11/03/2023 13:26:38 - INFO - __main__ - Num examples = 527
11/03/2023 13:26:38 - INFO - __main__ - Batch size = 8
11/03/2023 13:26:44 - INFO - __main__ - ***** Eval results checkpoint-140 *****
11/03/2023 13:26:44 - INFO - __main__ - acc = 0.7058823529411765
11/03/2023 13:26:44 - INFO - __main__ - correct = 372
11/03/2023 13:26:44 - INFO - __main__ - f1_0 = 0.83248730964467
11/03/2023 13:26:44 - INFO - __main__ - f1_1 = 0.25
11/03/2023 13:26:44 - INFO - __main__ - f1_2 = 0.3655913978494624
11/03/2023 13:26:44 - INFO - __main__ - macro_f1 = 0.48269290249804414
11/03/2023 13:26:44 - INFO - __main__ - num = 527
11/03/2023 13:26:44 - INFO - __main__ - prec_0 = 0.7540229885057471
11/03/2023 13:26:44 - INFO - __main__ - prec_1 = 0.23255813953488372
11/03/2023 13:26:44 - INFO - __main__ - prec_2 = 0.6938775510204082
11/03/2023 13:26:44 - INFO - __main__ - rec_0 = 0.9291784702549575
11/03/2023 13:26:44 - INFO - __main__ - rec_1 = 0.2702702702702703
11/03/2023 13:26:44 - INFO - __main__ - rec_2 = 0.24817518248175183
11/03/2023 13:26:44 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 13:26:44 - INFO - __main__ - ***** Running evaluation 140 *****
11/03/2023 13:26:44 - INFO - __main__ - Num examples = 326
11/03/2023 13:26:44 - INFO - __main__ - Batch size = 8
11/03/2023 13:26:48 - INFO - __main__ - ***** Eval results 140 *****
11/03/2023 13:26:48 - INFO - __main__ - acc = 0.7331288343558282
11/03/2023 13:26:48 - INFO - __main__ - correct = 239
11/03/2023 13:26:48 - INFO - __main__ - f1_0 = 0.8612244897959184
11/03/2023 13:26:48 - INFO - __main__ - f1_1 = 0.22641509433962265
11/03/2023 13:26:48 - INFO - __main__ - f1_2 = 0.4036697247706422
11/03/2023 13:26:48 - INFO - __main__ - macro_f1 = 0.4971031029687278
11/03/2023 13:26:48 - INFO - __main__ - num = 326
11/03/2023 13:26:48 - INFO - __main__ - prec_0 = 0.7902621722846442
11/03/2023 13:26:48 - INFO - __main__ - prec_1 = 0.2608695652173913
11/03/2023 13:26:48 - INFO - __main__ - prec_2 = 0.6111111111111112
11/03/2023 13:26:48 - INFO - __main__ - rec_0 = 0.9461883408071748
11/03/2023 13:26:48 - INFO - __main__ - rec_1 = 0.2
11/03/2023 13:26:48 - INFO - __main__ - rec_2 = 0.3013698630136986
11/03/2023 13:26:48 - INFO - __main__ - Dev accuracy = 0.7331288343558282
11/03/2023 13:26:48 - INFO - __main__ - result['acc']=0.7331288343558282 > best_score=0.7239263803680982
11/03/2023 13:26:49 - INFO - __main__ - Saving model checkpoint to ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//checkpoint-best
11/03/2023 13:26:51 - INFO - __main__ - Saving optimizer and scheduler states to ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//checkpoint-best
11/03/2023 13:27:32 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 13:27:32 - INFO - __main__ - ***** Running evaluation checkpoint-160 *****
11/03/2023 13:27:32 - INFO - __main__ - Num examples = 527
11/03/2023 13:27:32 - INFO - __main__ - Batch size = 8
11/03/2023 13:27:38 - INFO - __main__ - ***** Eval results checkpoint-160 *****
11/03/2023 13:27:38 - INFO - __main__ - acc = 0.715370018975332
11/03/2023 13:27:38 - INFO - __main__ - correct = 377
11/03/2023 13:27:38 - INFO - __main__ - f1_0 = 0.8308823529411764
11/03/2023 13:27:38 - INFO - __main__ - f1_1 = 0.11320754716981132
11/03/2023 13:27:38 - INFO - __main__ - f1_2 = 0.3783783783783784
11/03/2023 13:27:38 - INFO - __main__ - macro_f1 = 0.44082275949645533
11/03/2023 13:27:38 - INFO - __main__ - num = 527
11/03/2023 13:27:38 - INFO - __main__ - prec_0 = 0.7321814254859611
11/03/2023 13:27:38 - INFO - __main__ - prec_1 = 0.1875
11/03/2023 13:27:38 - INFO - __main__ - prec_2 = 0.7291666666666666
11/03/2023 13:27:38 - INFO - __main__ - rec_0 = 0.9603399433427762
11/03/2023 13:27:38 - INFO - __main__ - rec_1 = 0.08108108108108109
11/03/2023 13:27:38 - INFO - __main__ - rec_2 = 0.25547445255474455
11/03/2023 13:27:38 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 13:27:38 - INFO - __main__ - ***** Running evaluation 160 *****
11/03/2023 13:27:38 - INFO - __main__ - Num examples = 326
11/03/2023 13:27:38 - INFO - __main__ - Batch size = 8
11/03/2023 13:27:42 - INFO - __main__ - ***** Eval results 160 *****
11/03/2023 13:27:42 - INFO - __main__ - acc = 0.7361963190184049
11/03/2023 13:27:42 - INFO - __main__ - correct = 240
11/03/2023 13:27:42 - INFO - __main__ - f1_0 = 0.8473895582329316
11/03/2023 13:27:42 - INFO - __main__ - f1_1 = 0.15
11/03/2023 13:27:42 - INFO - __main__ - f1_2 = 0.45614035087719296
11/03/2023 13:27:42 - INFO - __main__ - macro_f1 = 0.48450996970337484
11/03/2023 13:27:42 - INFO - __main__ - num = 326
11/03/2023 13:27:42 - INFO - __main__ - prec_0 = 0.7672727272727272
11/03/2023 13:27:42 - INFO - __main__ - prec_1 = 0.3
11/03/2023 13:27:42 - INFO - __main__ - prec_2 = 0.6341463414634146
11/03/2023 13:27:42 - INFO - __main__ - rec_0 = 0.9461883408071748
11/03/2023 13:27:42 - INFO - __main__ - rec_1 = 0.1
11/03/2023 13:27:42 - INFO - __main__ - rec_2 = 0.3561643835616438
11/03/2023 13:27:42 - INFO - __main__ - Dev accuracy = 0.7361963190184049
11/03/2023 13:27:42 - INFO - __main__ - result['acc']=0.7361963190184049 > best_score=0.7331288343558282
11/03/2023 13:27:43 - INFO - __main__ - Saving model checkpoint to ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//checkpoint-best
11/03/2023 13:27:45 - INFO - __main__ - Saving optimizer and scheduler states to ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//checkpoint-best
11/03/2023 13:28:25 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 13:28:25 - INFO - __main__ - ***** Running evaluation checkpoint-180 *****
11/03/2023 13:28:25 - INFO - __main__ - Num examples = 527
11/03/2023 13:28:25 - INFO - __main__ - Batch size = 8
11/03/2023 13:28:31 - INFO - __main__ - ***** Eval results checkpoint-180 *****
11/03/2023 13:28:31 - INFO - __main__ - acc = 0.713472485768501
11/03/2023 13:28:31 - INFO - __main__ - correct = 376
11/03/2023 13:28:31 - INFO - __main__ - f1_0 = 0.8331303288672349
11/03/2023 13:28:31 - INFO - __main__ - f1_1 = 0.16666666666666666
11/03/2023 13:28:31 - INFO - __main__ - f1_2 = 0.33526011560693636
11/03/2023 13:28:31 - INFO - __main__ - macro_f1 = 0.44501903704694595
11/03/2023 13:28:31 - INFO - __main__ - num = 527
11/03/2023 13:28:31 - INFO - __main__ - prec_0 = 0.7307692307692307
11/03/2023 13:28:31 - INFO - __main__ - prec_1 = 0.21739130434782608
11/03/2023 13:28:31 - INFO - __main__ - prec_2 = 0.8055555555555556
11/03/2023 13:28:31 - INFO - __main__ - rec_0 = 0.9688385269121813
11/03/2023 13:28:31 - INFO - __main__ - rec_1 = 0.13513513513513514
11/03/2023 13:28:31 - INFO - __main__ - rec_2 = 0.2116788321167883
11/03/2023 13:28:31 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 13:28:31 - INFO - __main__ - ***** Running evaluation 180 *****
11/03/2023 13:28:31 - INFO - __main__ - Num examples = 326
11/03/2023 13:28:31 - INFO - __main__ - Batch size = 8
11/03/2023 13:28:35 - INFO - __main__ - ***** Eval results 180 *****
11/03/2023 13:28:35 - INFO - __main__ - acc = 0.7269938650306749
11/03/2023 13:28:35 - INFO - __main__ - correct = 237
11/03/2023 13:28:35 - INFO - __main__ - f1_0 = 0.8452380952380952
11/03/2023 13:28:35 - INFO - __main__ - f1_1 = 0.19047619047619044
11/03/2023 13:28:35 - INFO - __main__ - f1_2 = 0.3773584905660377
11/03/2023 13:28:35 - INFO - __main__ - macro_f1 = 0.47102425876010773
11/03/2023 13:28:35 - INFO - __main__ - num = 326
11/03/2023 13:28:35 - INFO - __main__ - prec_0 = 0.7580071174377224
11/03/2023 13:28:35 - INFO - __main__ - prec_1 = 0.3333333333333333
11/03/2023 13:28:35 - INFO - __main__ - prec_2 = 0.6060606060606061
11/03/2023 13:28:35 - INFO - __main__ - rec_0 = 0.9551569506726457
11/03/2023 13:28:35 - INFO - __main__ - rec_1 = 0.13333333333333333
11/03/2023 13:28:35 - INFO - __main__ - rec_2 = 0.273972602739726
11/03/2023 13:28:35 - INFO - __main__ - Dev accuracy = 0.7269938650306749
11/03/2023 13:29:15 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 13:29:15 - INFO - __main__ - ***** Running evaluation checkpoint-200 *****
11/03/2023 13:29:15 - INFO - __main__ - Num examples = 527
11/03/2023 13:29:15 - INFO - __main__ - Batch size = 8
11/03/2023 13:29:21 - INFO - __main__ - ***** Eval results checkpoint-200 *****
11/03/2023 13:29:21 - INFO - __main__ - acc = 0.7115749525616698
11/03/2023 13:29:21 - INFO - __main__ - correct = 375
11/03/2023 13:29:21 - INFO - __main__ - f1_0 = 0.8385481852315393
11/03/2023 13:29:21 - INFO - __main__ - f1_1 = 0.2564102564102564
11/03/2023 13:29:21 - INFO - __main__ - f1_2 = 0.33898305084745767
11/03/2023 13:29:21 - INFO - __main__ - macro_f1 = 0.47798049749641774
11/03/2023 13:29:21 - INFO - __main__ - num = 527
11/03/2023 13:29:21 - INFO - __main__ - prec_0 = 0.7511210762331838
11/03/2023 13:29:21 - INFO - __main__ - prec_1 = 0.24390243902439024
11/03/2023 13:29:21 - INFO - __main__ - prec_2 = 0.75
11/03/2023 13:29:21 - INFO - __main__ - rec_0 = 0.9490084985835694
11/03/2023 13:29:21 - INFO - __main__ - rec_1 = 0.2702702702702703
11/03/2023 13:29:21 - INFO - __main__ - rec_2 = 0.21897810218978103
11/03/2023 13:29:21 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 13:29:21 - INFO - __main__ - ***** Running evaluation 200 *****
11/03/2023 13:29:21 - INFO - __main__ - Num examples = 326
11/03/2023 13:29:21 - INFO - __main__ - Batch size = 8
11/03/2023 13:29:25 - INFO - __main__ - ***** Eval results 200 *****
11/03/2023 13:29:25 - INFO - __main__ - acc = 0.7239263803680982
11/03/2023 13:29:25 - INFO - __main__ - correct = 236
11/03/2023 13:29:25 - INFO - __main__ - f1_0 = 0.8525252525252526
11/03/2023 13:29:25 - INFO - __main__ - f1_1 = 0.2
11/03/2023 13:29:25 - INFO - __main__ - f1_2 = 0.37383177570093457
11/03/2023 13:29:25 - INFO - __main__ - macro_f1 = 0.47545234274206244
11/03/2023 13:29:25 - INFO - __main__ - num = 326
11/03/2023 13:29:25 - INFO - __main__ - prec_0 = 0.7757352941176471
11/03/2023 13:29:25 - INFO - __main__ - prec_1 = 0.25
11/03/2023 13:29:25 - INFO - __main__ - prec_2 = 0.5882352941176471
11/03/2023 13:29:25 - INFO - __main__ - rec_0 = 0.9461883408071748
11/03/2023 13:29:25 - INFO - __main__ - rec_1 = 0.16666666666666666
11/03/2023 13:29:25 - INFO - __main__ - rec_2 = 0.273972602739726
11/03/2023 13:29:25 - INFO - __main__ - Dev accuracy = 0.7239263803680982
11/03/2023 13:30:04 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 13:30:04 - INFO - __main__ - ***** Running evaluation checkpoint-220 *****
11/03/2023 13:30:04 - INFO - __main__ - Num examples = 527
11/03/2023 13:30:04 - INFO - __main__ - Batch size = 8
11/03/2023 13:30:10 - INFO - __main__ - ***** Eval results checkpoint-220 *****
11/03/2023 13:30:10 - INFO - __main__ - acc = 0.6963946869070209
11/03/2023 13:30:10 - INFO - __main__ - correct = 367
11/03/2023 13:30:10 - INFO - __main__ - f1_0 = 0.8363636363636363
11/03/2023 13:30:10 - INFO - __main__ - f1_1 = 0.2653061224489796
11/03/2023 13:30:10 - INFO - __main__ - f1_2 = 0.3440860215053763
11/03/2023 13:30:10 - INFO - __main__ - macro_f1 = 0.4819185934393307
11/03/2023 13:30:10 - INFO - __main__ - num = 527
11/03/2023 13:30:10 - INFO - __main__ - prec_0 = 0.7721822541966427
11/03/2023 13:30:10 - INFO - __main__ - prec_1 = 0.21311475409836064
11/03/2023 13:30:10 - INFO - __main__ - prec_2 = 0.6530612244897959
11/03/2023 13:30:10 - INFO - __main__ - rec_0 = 0.9121813031161473
11/03/2023 13:30:10 - INFO - __main__ - rec_1 = 0.35135135135135137
11/03/2023 13:30:10 - INFO - __main__ - rec_2 = 0.23357664233576642
11/03/2023 13:30:10 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 13:30:10 - INFO - __main__ - ***** Running evaluation 220 *****
11/03/2023 13:30:10 - INFO - __main__ - Num examples = 326
11/03/2023 13:30:10 - INFO - __main__ - Batch size = 8
11/03/2023 13:30:14 - INFO - __main__ - ***** Eval results 220 *****
11/03/2023 13:30:14 - INFO - __main__ - acc = 0.745398773006135
11/03/2023 13:30:14 - INFO - __main__ - correct = 243
11/03/2023 13:30:14 - INFO - __main__ - f1_0 = 0.8636363636363638
11/03/2023 13:30:14 - INFO - __main__ - f1_1 = 0.30188679245283023
11/03/2023 13:30:14 - INFO - __main__ - f1_2 = 0.45217391304347826
11/03/2023 13:30:14 - INFO - __main__ - macro_f1 = 0.5392323563775574
11/03/2023 13:30:14 - INFO - __main__ - num = 326
11/03/2023 13:30:14 - INFO - __main__ - prec_0 = 0.8007662835249042
11/03/2023 13:30:14 - INFO - __main__ - prec_1 = 0.34782608695652173
11/03/2023 13:30:14 - INFO - __main__ - prec_2 = 0.6190476190476191
11/03/2023 13:30:14 - INFO - __main__ - rec_0 = 0.9372197309417041
11/03/2023 13:30:14 - INFO - __main__ - rec_1 = 0.26666666666666666
11/03/2023 13:30:14 - INFO - __main__ - rec_2 = 0.3561643835616438
11/03/2023 13:30:14 - INFO - __main__ - Dev accuracy = 0.745398773006135
11/03/2023 13:30:14 - INFO - __main__ - result['acc']=0.745398773006135 > best_score=0.7361963190184049
11/03/2023 13:30:15 - INFO - __main__ - Saving model checkpoint to ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//checkpoint-best
11/03/2023 13:30:18 - INFO - __main__ - Saving optimizer and scheduler states to ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//checkpoint-best
11/03/2023 13:30:58 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 13:30:58 - INFO - __main__ - ***** Running evaluation checkpoint-240 *****
11/03/2023 13:30:58 - INFO - __main__ - Num examples = 527
11/03/2023 13:30:58 - INFO - __main__ - Batch size = 8
11/03/2023 13:31:04 - INFO - __main__ - ***** Eval results checkpoint-240 *****
11/03/2023 13:31:04 - INFO - __main__ - acc = 0.715370018975332
11/03/2023 13:31:04 - INFO - __main__ - correct = 377
11/03/2023 13:31:04 - INFO - __main__ - f1_0 = 0.8387096774193549
11/03/2023 13:31:04 - INFO - __main__ - f1_1 = 0.2894736842105264
11/03/2023 13:31:04 - INFO - __main__ - f1_2 = 0.3255813953488372
11/03/2023 13:31:04 - INFO - __main__ - macro_f1 = 0.4845882523262395
11/03/2023 13:31:04 - INFO - __main__ - num = 527
11/03/2023 13:31:04 - INFO - __main__ - prec_0 = 0.7461368653421634
11/03/2023 13:31:04 - INFO - __main__ - prec_1 = 0.28205128205128205
11/03/2023 13:31:04 - INFO - __main__ - prec_2 = 0.8
11/03/2023 13:31:04 - INFO - __main__ - rec_0 = 0.9575070821529745
11/03/2023 13:31:04 - INFO - __main__ - rec_1 = 0.2972972972972973
11/03/2023 13:31:04 - INFO - __main__ - rec_2 = 0.20437956204379562
11/03/2023 13:31:04 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 13:31:04 - INFO - __main__ - ***** Running evaluation 240 *****
11/03/2023 13:31:04 - INFO - __main__ - Num examples = 326
11/03/2023 13:31:04 - INFO - __main__ - Batch size = 8
11/03/2023 13:31:08 - INFO - __main__ - ***** Eval results 240 *****
11/03/2023 13:31:08 - INFO - __main__ - acc = 0.7177914110429447
11/03/2023 13:31:08 - INFO - __main__ - correct = 234
11/03/2023 13:31:08 - INFO - __main__ - f1_0 = 0.8473895582329316
11/03/2023 13:31:08 - INFO - __main__ - f1_1 = 0.19607843137254902
11/03/2023 13:31:08 - INFO - __main__ - f1_2 = 0.3495145631067961
11/03/2023 13:31:08 - INFO - __main__ - macro_f1 = 0.4643275175707589
11/03/2023 13:31:08 - INFO - __main__ - num = 326
11/03/2023 13:31:08 - INFO - __main__ - prec_0 = 0.7672727272727272
11/03/2023 13:31:08 - INFO - __main__ - prec_1 = 0.23809523809523808
11/03/2023 13:31:08 - INFO - __main__ - prec_2 = 0.6
11/03/2023 13:31:08 - INFO - __main__ - rec_0 = 0.9461883408071748
11/03/2023 13:31:08 - INFO - __main__ - rec_1 = 0.16666666666666666
11/03/2023 13:31:08 - INFO - __main__ - rec_2 = 0.2465753424657534
11/03/2023 13:31:08 - INFO - __main__ - Dev accuracy = 0.7177914110429447
11/03/2023 13:31:48 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 13:31:48 - INFO - __main__ - ***** Running evaluation checkpoint-260 *****
11/03/2023 13:31:48 - INFO - __main__ - Num examples = 527
11/03/2023 13:31:48 - INFO - __main__ - Batch size = 8
11/03/2023 13:31:54 - INFO - __main__ - ***** Eval results checkpoint-260 *****
11/03/2023 13:31:54 - INFO - __main__ - acc = 0.715370018975332
11/03/2023 13:31:54 - INFO - __main__ - correct = 377
11/03/2023 13:31:54 - INFO - __main__ - f1_0 = 0.8411910669975187
11/03/2023 13:31:54 - INFO - __main__ - f1_1 = 0.28571428571428575
11/03/2023 13:31:54 - INFO - __main__ - f1_2 = 0.31578947368421056
11/03/2023 13:31:54 - INFO - __main__ - macro_f1 = 0.48089827546533837
11/03/2023 13:31:54 - INFO - __main__ - num = 527
11/03/2023 13:31:54 - INFO - __main__ - prec_0 = 0.7483443708609272
11/03/2023 13:31:54 - INFO - __main__ - prec_1 = 0.275
11/03/2023 13:31:54 - INFO - __main__ - prec_2 = 0.7941176470588235
11/03/2023 13:31:54 - INFO - __main__ - rec_0 = 0.9603399433427762
11/03/2023 13:31:54 - INFO - __main__ - rec_1 = 0.2972972972972973
11/03/2023 13:31:54 - INFO - __main__ - rec_2 = 0.19708029197080293
11/03/2023 13:31:54 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 13:31:54 - INFO - __main__ - ***** Running evaluation 260 *****
11/03/2023 13:31:54 - INFO - __main__ - Num examples = 326
11/03/2023 13:31:54 - INFO - __main__ - Batch size = 8
11/03/2023 13:31:58 - INFO - __main__ - ***** Eval results 260 *****
11/03/2023 13:31:58 - INFO - __main__ - acc = 0.7024539877300614
11/03/2023 13:31:58 - INFO - __main__ - correct = 229
11/03/2023 13:31:58 - INFO - __main__ - f1_0 = 0.8473895582329316
11/03/2023 13:31:58 - INFO - __main__ - f1_1 = 0.17241379310344826
11/03/2023 13:31:58 - INFO - __main__ - f1_2 = 0.2708333333333333
11/03/2023 13:31:58 - INFO - __main__ - macro_f1 = 0.4302122282232377
11/03/2023 13:31:58 - INFO - __main__ - num = 326
11/03/2023 13:31:58 - INFO - __main__ - prec_0 = 0.7672727272727272
11/03/2023 13:31:58 - INFO - __main__ - prec_1 = 0.17857142857142858
11/03/2023 13:31:58 - INFO - __main__ - prec_2 = 0.5652173913043478
11/03/2023 13:31:58 - INFO - __main__ - rec_0 = 0.9461883408071748
11/03/2023 13:31:58 - INFO - __main__ - rec_1 = 0.16666666666666666
11/03/2023 13:31:58 - INFO - __main__ - rec_2 = 0.1780821917808219
11/03/2023 13:31:58 - INFO - __main__ - Dev accuracy = 0.7024539877300614
11/03/2023 13:32:17 - INFO - __main__ - global_step = 270, average loss = 0.6434159967082518
11/03/2023 13:32:17 - INFO - __main__ - best checkpoint = ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//checkpoint-best, best score = 0.745398773006135
11/03/2023 13:32:17 - INFO - __main__ - Saving model checkpoint to ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256//
11/03/2023 13:32:21 - INFO - __main__ - Evaluate the following checkpoints: ['./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256/checkpoint-best', './outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256']
11/03/2023 13:32:23 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 13:32:23 - INFO - __main__ - ***** Running evaluation checkpoint-best *****
11/03/2023 13:32:23 - INFO - __main__ - Num examples = 326
11/03/2023 13:32:23 - INFO - __main__ - Batch size = 8
11/03/2023 13:32:27 - INFO - __main__ - ***** Eval results checkpoint-best *****
11/03/2023 13:32:27 - INFO - __main__ - acc = 0.745398773006135
11/03/2023 13:32:27 - INFO - __main__ - correct = 243
11/03/2023 13:32:27 - INFO - __main__ - f1_0 = 0.8636363636363638
11/03/2023 13:32:27 - INFO - __main__ - f1_1 = 0.30188679245283023
11/03/2023 13:32:27 - INFO - __main__ - f1_2 = 0.45217391304347826
11/03/2023 13:32:27 - INFO - __main__ - macro_f1 = 0.5392323563775574
11/03/2023 13:32:27 - INFO - __main__ - num = 326
11/03/2023 13:32:27 - INFO - __main__ - prec_0 = 0.8007662835249042
11/03/2023 13:32:27 - INFO - __main__ - prec_1 = 0.34782608695652173
11/03/2023 13:32:27 - INFO - __main__ - prec_2 = 0.6190476190476191
11/03/2023 13:32:27 - INFO - __main__ - rec_0 = 0.9372197309417041
11/03/2023 13:32:27 - INFO - __main__ - rec_1 = 0.26666666666666666
11/03/2023 13:32:27 - INFO - __main__ - rec_2 = 0.3561643835616438
11/03/2023 13:32:29 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_dev_roberta-large_256_comp_
11/03/2023 13:32:29 - INFO - __main__ - ***** Running evaluation *****
11/03/2023 13:32:29 - INFO - __main__ - Num examples = 326
11/03/2023 13:32:29 - INFO - __main__ - Batch size = 8
11/03/2023 13:32:33 - INFO - __main__ - ***** Eval results *****
11/03/2023 13:32:33 - INFO - __main__ - acc = 0.7147239263803681
11/03/2023 13:32:33 - INFO - __main__ - correct = 233
11/03/2023 13:32:33 - INFO - __main__ - f1_0 = 0.8473895582329316
11/03/2023 13:32:33 - INFO - __main__ - f1_1 = 0.1851851851851852
11/03/2023 13:32:33 - INFO - __main__ - f1_2 = 0.34
11/03/2023 13:32:33 - INFO - __main__ - macro_f1 = 0.4575249144727056
11/03/2023 13:32:33 - INFO - __main__ - num = 326
11/03/2023 13:32:33 - INFO - __main__ - prec_0 = 0.7672727272727272
11/03/2023 13:32:33 - INFO - __main__ - prec_1 = 0.20833333333333334
11/03/2023 13:32:33 - INFO - __main__ - prec_2 = 0.6296296296296297
11/03/2023 13:32:33 - INFO - __main__ - rec_0 = 0.9461883408071748
11/03/2023 13:32:33 - INFO - __main__ - rec_1 = 0.16666666666666666
11/03/2023 13:32:33 - INFO - __main__ - rec_2 = 0.2328767123287671
11/03/2023 13:32:33 - INFO - __main__ - Best checkpoint is ./outputs/oversample/comp/roberta-large-LR1e-5-epoch10-MaxLen256/checkpoint-best, best accuracy is 0.745398773006135
11/03/2023 13:32:35 - INFO - __main__ - Loading features from cached file ./data/oversample//comp/cached_test_roberta-large_256_comp_
11/03/2023 13:32:35 - INFO - __main__ - ***** Running evaluation best_checkpoint *****
11/03/2023 13:32:35 - INFO - __main__ - Num examples = 527
11/03/2023 13:32:35 - INFO - __main__ - Batch size = 8
11/03/2023 13:32:41 - INFO - __main__ - ***** Save prediction ******
11/03/2023 13:32:41 - INFO - __main__ - ***** Eval results best_checkpoint *****
11/03/2023 13:32:41 - INFO - __main__ - acc = 0.6963946869070209
11/03/2023 13:32:41 - INFO - __main__ - correct = 367
11/03/2023 13:32:41 - INFO - __main__ - f1_0 = 0.8363636363636363
11/03/2023 13:32:41 - INFO - __main__ - f1_1 = 0.2653061224489796
11/03/2023 13:32:41 - INFO - __main__ - f1_2 = 0.3440860215053763
11/03/2023 13:32:41 - INFO - __main__ - macro_f1 = 0.4819185934393307
11/03/2023 13:32:41 - INFO - __main__ - num = 527
11/03/2023 13:32:41 - INFO - __main__ - prec_0 = 0.7721822541966427
11/03/2023 13:32:41 - INFO - __main__ - prec_1 = 0.21311475409836064
11/03/2023 13:32:41 - INFO - __main__ - prec_2 = 0.6530612244897959
11/03/2023 13:32:41 - INFO - __main__ - rec_0 = 0.9121813031161473
11/03/2023 13:32:41 - INFO - __main__ - rec_1 = 0.35135135135135137
11/03/2023 13:32:41 - INFO - __main__ - rec_2 = 0.23357664233576642
11/03/2023 13:32:41 - INFO - __main__ - 0.6963946869070209
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