Using the `WANDB_DISABLED` environment variable is deprecated and will be removed in v5. Use the --report_to flag to control the integrations used for logging result (for instance --report_to none).

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[INFO|configuration_utils.py:666] 2023-07-03 01:07:03,668 >> loading configuration file /home/yujiepan/bert-base-uncased-imdb/config.json
[INFO|configuration_utils.py:720] 2023-07-03 01:07:03,672 >> Model config BertConfig {
  "_name_or_path": "/home/yujiepan/bert-base-uncased-imdb",
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": 0,
    "1": 1
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "0": 0,
    "1": 1
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.27.4",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 30522
}

[INFO|tokenization_utils_base.py:1800] 2023-07-03 01:07:03,674 >> loading file vocab.txt
[INFO|tokenization_utils_base.py:1800] 2023-07-03 01:07:03,674 >> loading file tokenizer.json
[INFO|tokenization_utils_base.py:1800] 2023-07-03 01:07:03,674 >> loading file added_tokens.json
[INFO|tokenization_utils_base.py:1800] 2023-07-03 01:07:03,674 >> loading file special_tokens_map.json
[INFO|tokenization_utils_base.py:1800] 2023-07-03 01:07:03,674 >> loading file tokenizer_config.json
[INFO|modeling_utils.py:2400] 2023-07-03 01:07:03,725 >> loading weights file /home/yujiepan/bert-base-uncased-imdb/pytorch_model.bin
[INFO|modeling_utils.py:3034] 2023-07-03 01:07:04,944 >> All model checkpoint weights were used when initializing BertForSequenceClassification.

[INFO|modeling_utils.py:3042] 2023-07-03 01:07:04,944 >> All the weights of BertForSequenceClassification were initialized from the model checkpoint at /home/yujiepan/bert-base-uncased-imdb.
If your task is similar to the task the model of the checkpoint was trained on, you can already use BertForSequenceClassification for predictions without further training.

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[INFO|trainer.py:597] 2023-07-03 01:07:36,914 >> Using cuda_amp half precision backend
[INFO|trainer.py:738] 2023-07-03 01:07:36,915 >> The following columns in the training set don't have a corresponding argument in `BertForSequenceClassification.forward` and have been ignored: text. If text are not expected by `BertForSequenceClassification.forward`,  you can safely ignore this message.
[INFO|trainer.py:1741] 2023-07-03 01:07:36,919 >> ***** Running training *****
[INFO|trainer.py:1742] 2023-07-03 01:07:36,919 >>   Num examples = 25000
[INFO|trainer.py:1743] 2023-07-03 01:07:36,919 >>   Num Epochs = 6
[INFO|trainer.py:1744] 2023-07-03 01:07:36,919 >>   Instantaneous batch size per device = 32
[INFO|trainer.py:1745] 2023-07-03 01:07:36,919 >>   Total train batch size (w. parallel, distributed & accumulation) = 32
[INFO|trainer.py:1746] 2023-07-03 01:07:36,919 >>   Gradient Accumulation steps = 1
[INFO|trainer.py:1747] 2023-07-03 01:07:36,919 >>   Total optimization steps = 4692
[INFO|trainer.py:1748] 2023-07-03 01:07:36,920 >>   Number of trainable parameters = 109483778

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  8%|▊         | 391/4692 [01:48<19:55,  3.60it/s][INFO|trainer.py:738] 2023-07-03 01:09:25,195 >> The following columns in the evaluation set don't have a corresponding argument in `BertForSequenceClassification.forward` and have been ignored: text. If text are not expected by `BertForSequenceClassification.forward`,  you can safely ignore this message.
[INFO|trainer.py:3069] 2023-07-03 01:09:25,198 >> ***** Running Evaluation *****
[INFO|trainer.py:3071] 2023-07-03 01:09:25,198 >>   Num examples = 25000
[INFO|trainer.py:3074] 2023-07-03 01:09:25,198 >>   Batch size = 64


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                                                 [INFO|trainer.py:2815] 2023-07-03 01:10:30,679 >> Saving model checkpoint to /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-391
[INFO|configuration_utils.py:457] 2023-07-03 01:10:30,680 >> Configuration saved in /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-391/config.json
[INFO|modeling_utils.py:1762] 2023-07-03 01:10:31,297 >> Model weights saved in /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-391/pytorch_model.bin
[INFO|tokenization_utils_base.py:2163] 2023-07-03 01:10:31,298 >> tokenizer config file saved in /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-391/tokenizer_config.json
[INFO|tokenization_utils_base.py:2170] 2023-07-03 01:10:31,298 >> Special tokens file saved in /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-391/special_tokens_map.json

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[INFO|trainer.py:3069] 2023-07-03 01:12:16,366 >> ***** Running Evaluation *****
[INFO|trainer.py:3071] 2023-07-03 01:12:16,366 >>   Num examples = 25000
[INFO|trainer.py:3074] 2023-07-03 01:12:16,366 >>   Batch size = 64


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                                                 [INFO|trainer.py:2815] 2023-07-03 01:13:20,956 >> Saving model checkpoint to /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-782
[INFO|configuration_utils.py:457] 2023-07-03 01:13:20,957 >> Configuration saved in /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-782/config.json
[INFO|modeling_utils.py:1762] 2023-07-03 01:13:21,482 >> Model weights saved in /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-782/pytorch_model.bin
[INFO|tokenization_utils_base.py:2163] 2023-07-03 01:13:21,483 >> tokenizer config file saved in /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-782/tokenizer_config.json
[INFO|tokenization_utils_base.py:2170] 2023-07-03 01:13:21,483 >> Special tokens file saved in /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-782/special_tokens_map.json
[INFO|trainer.py:2893] 2023-07-03 01:13:22,636 >> Deleting older checkpoint [/nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-391] due to args.save_total_limit

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[INFO|trainer.py:3069] 2023-07-03 01:15:08,772 >> ***** Running Evaluation *****
[INFO|trainer.py:3071] 2023-07-03 01:15:08,772 >>   Num examples = 25000
[INFO|trainer.py:3074] 2023-07-03 01:15:08,772 >>   Batch size = 64


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                                                 [INFO|trainer.py:2815] 2023-07-03 01:16:13,642 >> Saving model checkpoint to /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-1173
[INFO|configuration_utils.py:457] 2023-07-03 01:16:13,643 >> Configuration saved in /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-1173/config.json
[INFO|modeling_utils.py:1762] 2023-07-03 01:16:14,203 >> Model weights saved in /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-1173/pytorch_model.bin
[INFO|tokenization_utils_base.py:2163] 2023-07-03 01:16:14,203 >> tokenizer config file saved in /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-1173/tokenizer_config.json
[INFO|tokenization_utils_base.py:2170] 2023-07-03 01:16:14,204 >> Special tokens file saved in /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-1173/special_tokens_map.json
[INFO|trainer.py:2893] 2023-07-03 01:16:15,360 >> Deleting older checkpoint [/nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-782] due to args.save_total_limit

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[INFO|trainer.py:3069] 2023-07-03 01:19:18,640 >> ***** Running Evaluation *****
[INFO|trainer.py:3071] 2023-07-03 01:19:18,641 >>   Num examples = 25000
[INFO|trainer.py:3074] 2023-07-03 01:19:18,641 >>   Batch size = 64


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                                                 [INFO|trainer.py:2815] 2023-07-03 01:21:28,961 >> Saving model checkpoint to /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-1564
[INFO|configuration_utils.py:457] 2023-07-03 01:21:28,961 >> Configuration saved in /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-1564/config.json
[INFO|modeling_utils.py:1762] 2023-07-03 01:21:29,520 >> Model weights saved in /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-1564/pytorch_model.bin
[INFO|tokenization_utils_base.py:2163] 2023-07-03 01:21:29,521 >> tokenizer config file saved in /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-1564/tokenizer_config.json
[INFO|tokenization_utils_base.py:2170] 2023-07-03 01:21:29,521 >> Special tokens file saved in /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-1564/special_tokens_map.json
[INFO|trainer.py:2893] 2023-07-03 01:21:30,678 >> Deleting older checkpoint [/nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-1173] due to args.save_total_limit

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[INFO|trainer.py:3069] 2023-07-03 01:25:08,537 >> ***** Running Evaluation *****
[INFO|trainer.py:3071] 2023-07-03 01:25:08,538 >>   Num examples = 25000
[INFO|trainer.py:3074] 2023-07-03 01:25:08,538 >>   Batch size = 64


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                                                 [INFO|trainer.py:2815] 2023-07-03 01:27:22,149 >> Saving model checkpoint to /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-1955
[INFO|configuration_utils.py:457] 2023-07-03 01:27:22,150 >> Configuration saved in /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-1955/config.json
[INFO|modeling_utils.py:1762] 2023-07-03 01:27:22,688 >> Model weights saved in /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-1955/pytorch_model.bin
[INFO|tokenization_utils_base.py:2163] 2023-07-03 01:27:22,689 >> tokenizer config file saved in /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-1955/tokenizer_config.json
[INFO|tokenization_utils_base.py:2170] 2023-07-03 01:27:22,689 >> Special tokens file saved in /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-1955/special_tokens_map.json

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[INFO|trainer.py:3069] 2023-07-03 01:31:00,536 >> ***** Running Evaluation *****
[INFO|trainer.py:3071] 2023-07-03 01:31:00,536 >>   Num examples = 25000
[INFO|trainer.py:3074] 2023-07-03 01:31:00,536 >>   Batch size = 64


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                                                 [INFO|trainer.py:2815] 2023-07-03 01:33:10,800 >> Saving model checkpoint to /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-2346
[INFO|configuration_utils.py:457] 2023-07-03 01:33:10,801 >> Configuration saved in /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-2346/config.json
[INFO|modeling_utils.py:1762] 2023-07-03 01:33:11,372 >> Model weights saved in /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-2346/pytorch_model.bin
[INFO|tokenization_utils_base.py:2163] 2023-07-03 01:33:11,372 >> tokenizer config file saved in /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-2346/tokenizer_config.json
[INFO|tokenization_utils_base.py:2170] 2023-07-03 01:33:11,372 >> Special tokens file saved in /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-2346/special_tokens_map.json
[INFO|trainer.py:2893] 2023-07-03 01:33:12,546 >> Deleting older checkpoint [/nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-1955] due to args.save_total_limit

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[INFO|trainer.py:3069] 2023-07-03 01:36:51,572 >> ***** Running Evaluation *****
[INFO|trainer.py:3071] 2023-07-03 01:36:51,572 >>   Num examples = 25000
[INFO|trainer.py:3074] 2023-07-03 01:36:51,572 >>   Batch size = 64


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                                                 [INFO|trainer.py:2815] 2023-07-03 01:39:02,074 >> Saving model checkpoint to /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-2737
[INFO|configuration_utils.py:457] 2023-07-03 01:39:02,075 >> Configuration saved in /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-2737/config.json
[INFO|modeling_utils.py:1762] 2023-07-03 01:39:02,644 >> Model weights saved in /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-2737/pytorch_model.bin
[INFO|tokenization_utils_base.py:2163] 2023-07-03 01:39:02,644 >> tokenizer config file saved in /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-2737/tokenizer_config.json
[INFO|tokenization_utils_base.py:2170] 2023-07-03 01:39:02,644 >> Special tokens file saved in /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-2737/special_tokens_map.json
[INFO|trainer.py:2893] 2023-07-03 01:39:03,786 >> Deleting older checkpoint [/nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-2346] due to args.save_total_limit

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[INFO|trainer.py:3069] 2023-07-03 01:42:42,030 >> ***** Running Evaluation *****
[INFO|trainer.py:3071] 2023-07-03 01:42:42,030 >>   Num examples = 25000
[INFO|trainer.py:3074] 2023-07-03 01:42:42,030 >>   Batch size = 64


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                                                 [INFO|trainer.py:2815] 2023-07-03 01:44:54,514 >> Saving model checkpoint to /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-3128
[INFO|configuration_utils.py:457] 2023-07-03 01:44:54,515 >> Configuration saved in /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-3128/config.json
[INFO|modeling_utils.py:1762] 2023-07-03 01:44:55,086 >> Model weights saved in /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-3128/pytorch_model.bin
[INFO|tokenization_utils_base.py:2163] 2023-07-03 01:44:55,087 >> tokenizer config file saved in /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-3128/tokenizer_config.json
[INFO|tokenization_utils_base.py:2170] 2023-07-03 01:44:55,087 >> Special tokens file saved in /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-3128/special_tokens_map.json
[INFO|trainer.py:2893] 2023-07-03 01:44:56,205 >> Deleting older checkpoint [/nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-1564] due to args.save_total_limit
[INFO|trainer.py:2893] 2023-07-03 01:44:56,364 >> Deleting older checkpoint [/nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-2737] due to args.save_total_limit

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[INFO|trainer.py:3069] 2023-07-03 01:48:35,289 >> ***** Running Evaluation *****
[INFO|trainer.py:3071] 2023-07-03 01:48:35,290 >>   Num examples = 25000
[INFO|trainer.py:3074] 2023-07-03 01:48:35,290 >>   Batch size = 64


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                                                 [INFO|trainer.py:2815] 2023-07-03 01:50:45,810 >> Saving model checkpoint to /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-3519
[INFO|configuration_utils.py:457] 2023-07-03 01:50:45,811 >> Configuration saved in /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-3519/config.json
[INFO|modeling_utils.py:1762] 2023-07-03 01:50:46,420 >> Model weights saved in /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-3519/pytorch_model.bin
[INFO|tokenization_utils_base.py:2163] 2023-07-03 01:50:46,421 >> tokenizer config file saved in /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-3519/tokenizer_config.json
[INFO|tokenization_utils_base.py:2170] 2023-07-03 01:50:46,421 >> Special tokens file saved in /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-3519/special_tokens_map.json
[INFO|trainer.py:2893] 2023-07-03 01:50:47,729 >> Deleting older checkpoint [/nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-3128] due to args.save_total_limit

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[INFO|trainer.py:3069] 2023-07-03 01:54:26,234 >> ***** Running Evaluation *****
[INFO|trainer.py:3071] 2023-07-03 01:54:26,234 >>   Num examples = 25000
[INFO|trainer.py:3074] 2023-07-03 01:54:26,235 >>   Batch size = 64


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                                                 [INFO|trainer.py:2815] 2023-07-03 01:56:36,771 >> Saving model checkpoint to /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-3910
[INFO|configuration_utils.py:457] 2023-07-03 01:56:36,772 >> Configuration saved in /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-3910/config.json
[INFO|modeling_utils.py:1762] 2023-07-03 01:56:37,332 >> Model weights saved in /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-3910/pytorch_model.bin
[INFO|tokenization_utils_base.py:2163] 2023-07-03 01:56:37,333 >> tokenizer config file saved in /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-3910/tokenizer_config.json
[INFO|tokenization_utils_base.py:2170] 2023-07-03 01:56:37,333 >> Special tokens file saved in /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-3910/special_tokens_map.json
[INFO|trainer.py:2893] 2023-07-03 01:56:38,483 >> Deleting older checkpoint [/nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-3519] due to args.save_total_limit

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[INFO|trainer.py:3069] 2023-07-03 02:00:17,232 >> ***** Running Evaluation *****
[INFO|trainer.py:3071] 2023-07-03 02:00:17,232 >>   Num examples = 25000
[INFO|trainer.py:3074] 2023-07-03 02:00:17,232 >>   Batch size = 64


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                                                 [INFO|trainer.py:2815] 2023-07-03 02:02:29,498 >> Saving model checkpoint to /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-4301
[INFO|configuration_utils.py:457] 2023-07-03 02:02:29,499 >> Configuration saved in /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-4301/config.json
[INFO|modeling_utils.py:1762] 2023-07-03 02:02:30,035 >> Model weights saved in /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-4301/pytorch_model.bin
[INFO|tokenization_utils_base.py:2163] 2023-07-03 02:02:30,035 >> tokenizer config file saved in /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-4301/tokenizer_config.json
[INFO|tokenization_utils_base.py:2170] 2023-07-03 02:02:30,035 >> Special tokens file saved in /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-4301/special_tokens_map.json

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100%|██████████| 4692/4692 [58:32<00:00,  2.20it/s][INFO|trainer.py:738] 2023-07-03 02:06:09,343 >> The following columns in the evaluation set don't have a corresponding argument in `BertForSequenceClassification.forward` and have been ignored: text. If text are not expected by `BertForSequenceClassification.forward`,  you can safely ignore this message.
[INFO|trainer.py:3069] 2023-07-03 02:06:09,347 >> ***** Running Evaluation *****
[INFO|trainer.py:3071] 2023-07-03 02:06:09,347 >>   Num examples = 25000
[INFO|trainer.py:3074] 2023-07-03 02:06:09,347 >>   Batch size = 64


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                                                 [INFO|trainer.py:2815] 2023-07-03 02:08:19,611 >> Saving model checkpoint to /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-4692
[INFO|configuration_utils.py:457] 2023-07-03 02:08:19,612 >> Configuration saved in /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-4692/config.json
[INFO|modeling_utils.py:1762] 2023-07-03 02:08:20,183 >> Model weights saved in /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-4692/pytorch_model.bin
[INFO|tokenization_utils_base.py:2163] 2023-07-03 02:08:20,183 >> tokenizer config file saved in /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-4692/tokenizer_config.json
[INFO|tokenization_utils_base.py:2170] 2023-07-03 02:08:20,184 >> Special tokens file saved in /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-4692/special_tokens_map.json
[INFO|trainer.py:2893] 2023-07-03 02:08:21,354 >> Deleting older checkpoint [/nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-3910] due to args.save_total_limit
[INFO|trainer.py:2893] 2023-07-03 02:08:21,468 >> Deleting older checkpoint [/nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-4301] due to args.save_total_limit
[INFO|trainer.py:2013] 2023-07-03 02:08:21,590 >> 

Training completed. Do not forget to share your model on huggingface.co/models =)


[INFO|trainer.py:2133] 2023-07-03 02:08:21,590 >> Loading best model from /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/checkpoint-4692 (score: 0.92816).

                                                     

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[INFO|trainer.py:2815] 2023-07-03 02:08:22,187 >> Saving model checkpoint to /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6
[INFO|configuration_utils.py:457] 2023-07-03 02:08:22,188 >> Configuration saved in /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/config.json
[INFO|modeling_utils.py:1762] 2023-07-03 02:08:22,722 >> Model weights saved in /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/pytorch_model.bin
[INFO|tokenization_utils_base.py:2163] 2023-07-03 02:08:22,722 >> tokenizer config file saved in /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/tokenizer_config.json
[INFO|tokenization_utils_base.py:2170] 2023-07-03 02:08:22,722 >> Special tokens file saved in /nvme1/yujiepan/token-dropping-logs/logs-final/train-imdb-baseline/0703-lr5e-05_warm0.1_epoch6/special_tokens_map.json
[INFO|trainer.py:738] 2023-07-03 02:08:22,754 >> The following columns in the evaluation set don't have a corresponding argument in `BertForSequenceClassification.forward` and have been ignored: text. If text are not expected by `BertForSequenceClassification.forward`,  you can safely ignore this message.
[INFO|trainer.py:3069] 2023-07-03 02:08:22,756 >> ***** Running Evaluation *****
[INFO|trainer.py:3071] 2023-07-03 02:08:22,756 >>   Num examples = 25000
[INFO|trainer.py:3074] 2023-07-03 02:08:22,756 >>   Batch size = 64

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[INFO|trainer.py:738] 2023-07-03 02:10:33,186 >> The following columns in the evaluation set don't have a corresponding argument in `BertForSequenceClassification.forward` and have been ignored: text. If text are not expected by `BertForSequenceClassification.forward`,  you can safely ignore this message.
[INFO|trainer.py:3069] 2023-07-03 02:10:33,188 >> ***** Running Evaluation *****
[INFO|trainer.py:3071] 2023-07-03 02:10:33,188 >>   Num examples = 5958
[INFO|trainer.py:3074] 2023-07-03 02:10:33,188 >>   Batch size = 64

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