WARNING:root:TPU has started up successfully with version pytorch-1.8 WARNING:root:TPU has started up successfully with version pytorch-1.8 03/29/2022 16:47:16 - WARNING - run_mlm - Process rank: -1, device: xla:1, n_gpu: 0distributed training: False, 16-bits training: False 03/29/2022 16:47:16 - INFO - run_mlm - Training/evaluation parameters TrainingArguments( _n_gpu=0, adafactor=False, adam_beta1=0.9, adam_beta2=0.999, adam_epsilon=1e-08, bf16=False, bf16_full_eval=False, data_seed=None, dataloader_drop_last=False, dataloader_num_workers=0, dataloader_pin_memory=True, ddp_bucket_cap_mb=None, ddp_find_unused_parameters=None, debug=[], deepspeed=None, disable_tqdm=False, do_eval=True, do_predict=False, do_train=True, eval_accumulation_steps=None, eval_delay=0, eval_steps=None, evaluation_strategy=IntervalStrategy.NO, fp16=False, fp16_backend=auto, fp16_full_eval=False, fp16_opt_level=O1, gradient_accumulation_steps=1, gradient_checkpointing=False, greater_is_better=None, group_by_length=False, half_precision_backend=auto, hub_model_id=None, hub_strategy=HubStrategy.EVERY_SAVE, hub_token=, ignore_data_skip=False, label_names=None, label_smoothing_factor=0.0, learning_rate=2e-05, length_column_name=length, load_best_model_at_end=False, local_rank=-1, log_level=-1, log_level_replica=-1, log_on_each_node=True, logging_dir=/content/output/runs/Mar29_16-47-16_c7da2365c164, logging_first_step=False, logging_nan_inf_filter=True, logging_steps=500, logging_strategy=IntervalStrategy.STEPS, lr_scheduler_type=SchedulerType.LINEAR, max_grad_norm=1.0, max_steps=-1, metric_for_best_model=None, mp_parameters=, no_cuda=False, num_train_epochs=4.0, optim=OptimizerNames.ADAMW_HF, output_dir=/content/output, overwrite_output_dir=True, past_index=-1, per_device_eval_batch_size=128, per_device_train_batch_size=64, prediction_loss_only=False, push_to_hub=False, push_to_hub_model_id=None, push_to_hub_organization=None, push_to_hub_token=, remove_unused_columns=True, report_to=['tensorboard'], resume_from_checkpoint=None, run_name=/content/output, save_on_each_node=False, save_steps=500, save_strategy=IntervalStrategy.STEPS, save_total_limit=None, seed=42, sharded_ddp=[], skip_memory_metrics=True, tf32=None, tpu_metrics_debug=False, tpu_num_cores=8, use_legacy_prediction_loop=False, warmup_ratio=0.0, warmup_steps=0, weight_decay=0.0, xpu_backend=None, ) 03/29/2022 16:47:16 - WARNING - datasets.builder - Using custom data configuration default-70e7fb910b588de7 03/29/2022 16:47:16 - INFO - datasets.builder - Overwrite dataset info from restored data version. 03/29/2022 16:47:16 - INFO - datasets.info - Loading Dataset info from /root/.cache/huggingface/datasets/text/default-70e7fb910b588de7/0.0.0/4b86d314f7236db91f0a0f5cda32d4375445e64c5eda2692655dd99c2dac68e8 03/29/2022 16:47:16 - WARNING - datasets.builder - Reusing dataset text (/root/.cache/huggingface/datasets/text/default-70e7fb910b588de7/0.0.0/4b86d314f7236db91f0a0f5cda32d4375445e64c5eda2692655dd99c2dac68e8) 03/29/2022 16:47:16 - INFO - datasets.info - Loading Dataset info from /root/.cache/huggingface/datasets/text/default-70e7fb910b588de7/0.0.0/4b86d314f7236db91f0a0f5cda32d4375445e64c5eda2692655dd99c2dac68e8 100% 1/1 [00:01<00:00, 1.34s/it] 03/29/2022 16:47:18 - WARNING - datasets.builder - Using custom data configuration default-70e7fb910b588de7 03/29/2022 16:47:18 - INFO - datasets.builder - Overwrite dataset info from restored data version. 03/29/2022 16:47:18 - INFO - datasets.info - Loading Dataset info from /root/.cache/huggingface/datasets/text/default-70e7fb910b588de7/0.0.0/4b86d314f7236db91f0a0f5cda32d4375445e64c5eda2692655dd99c2dac68e8 03/29/2022 16:47:18 - WARNING - datasets.builder - Reusing dataset text (/root/.cache/huggingface/datasets/text/default-70e7fb910b588de7/0.0.0/4b86d314f7236db91f0a0f5cda32d4375445e64c5eda2692655dd99c2dac68e8) 03/29/2022 16:47:18 - INFO - datasets.info - Loading Dataset info from /root/.cache/huggingface/datasets/text/default-70e7fb910b588de7/0.0.0/4b86d314f7236db91f0a0f5cda32d4375445e64c5eda2692655dd99c2dac68e8 03/29/2022 16:47:18 - WARNING - datasets.builder - Using custom data configuration default-70e7fb910b588de7 03/29/2022 16:47:18 - INFO - datasets.builder - Overwrite dataset info from restored data version. 03/29/2022 16:47:18 - INFO - datasets.info - Loading Dataset info from /root/.cache/huggingface/datasets/text/default-70e7fb910b588de7/0.0.0/4b86d314f7236db91f0a0f5cda32d4375445e64c5eda2692655dd99c2dac68e8 03/29/2022 16:47:18 - WARNING - datasets.builder - Reusing dataset text (/root/.cache/huggingface/datasets/text/default-70e7fb910b588de7/0.0.0/4b86d314f7236db91f0a0f5cda32d4375445e64c5eda2692655dd99c2dac68e8) 03/29/2022 16:47:18 - INFO - datasets.info - Loading Dataset info from /root/.cache/huggingface/datasets/text/default-70e7fb910b588de7/0.0.0/4b86d314f7236db91f0a0f5cda32d4375445e64c5eda2692655dd99c2dac68e8 [INFO|configuration_utils.py:653] 2022-03-29 16:47:18,767 >> loading configuration file https://huggingface.co/bert-base-cased/resolve/main/config.json from cache at /root/.cache/huggingface/transformers/a803e0468a8fe090683bdc453f4fac622804f49de86d7cecaee92365d4a0f829.a64a22196690e0e82ead56f388a3ef3a50de93335926ccfa20610217db589307 [INFO|configuration_utils.py:689] 2022-03-29 16:47:18,768 >> Model config BertConfig { "_name_or_path": "bert-base-cased", "architectures": [ "BertForMaskedLM" ], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "initializer_range": 0.02, "intermediate_size": 3072, "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", "transformers_version": "4.18.0.dev0", "type_vocab_size": 2, "use_cache": true, "vocab_size": 28996 } [INFO|configuration_utils.py:653] 2022-03-29 16:47:19,059 >> loading configuration file https://huggingface.co/bert-base-cased/resolve/main/config.json from cache at /root/.cache/huggingface/transformers/a803e0468a8fe090683bdc453f4fac622804f49de86d7cecaee92365d4a0f829.a64a22196690e0e82ead56f388a3ef3a50de93335926ccfa20610217db589307 [INFO|configuration_utils.py:689] 2022-03-29 16:47:19,060 >> Model config BertConfig { "_name_or_path": "bert-base-cased", "architectures": [ "BertForMaskedLM" ], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "initializer_range": 0.02, "intermediate_size": 3072, "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", "transformers_version": "4.18.0.dev0", "type_vocab_size": 2, "use_cache": true, "vocab_size": 28996 } [INFO|tokenization_utils_base.py:1778] 2022-03-29 16:47:19,915 >> loading file https://huggingface.co/bert-base-cased/resolve/main/vocab.txt from cache at /root/.cache/huggingface/transformers/6508e60ab3c1200bffa26c95f4b58ac6b6d95fba4db1f195f632fa3cd7bc64cc.437aa611e89f6fc6675a049d2b5545390adbc617e7d655286421c191d2be2791 [INFO|tokenization_utils_base.py:1778] 2022-03-29 16:47:19,915 >> loading file https://huggingface.co/bert-base-cased/resolve/main/tokenizer.json from cache at /root/.cache/huggingface/transformers/226a307193a9f4344264cdc76a12988448a25345ba172f2c7421f3b6810fddad.3dab63143af66769bbb35e3811f75f7e16b2320e12b7935e216bd6159ce6d9a6 [INFO|tokenization_utils_base.py:1778] 2022-03-29 16:47:19,916 >> loading file https://huggingface.co/bert-base-cased/resolve/main/added_tokens.json from cache at None [INFO|tokenization_utils_base.py:1778] 2022-03-29 16:47:19,916 >> loading file https://huggingface.co/bert-base-cased/resolve/main/special_tokens_map.json from cache at None [INFO|tokenization_utils_base.py:1778] 2022-03-29 16:47:19,916 >> loading file https://huggingface.co/bert-base-cased/resolve/main/tokenizer_config.json from cache at /root/.cache/huggingface/transformers/ec84e86ee39bfe112543192cf981deebf7e6cbe8c91b8f7f8f63c9be44366158.ec5c189f89475aac7d8cbd243960a0655cfadc3d0474da8ff2ed0bf1699c2a5f 03/29/2022 16:47:20 - WARNING - run_mlm - Process rank: -1, device: xla:0, n_gpu: 0distributed training: False, 16-bits training: False [INFO|configuration_utils.py:653] 2022-03-29 16:47:20,059 >> loading configuration file https://huggingface.co/bert-base-cased/resolve/main/config.json from cache at /root/.cache/huggingface/transformers/a803e0468a8fe090683bdc453f4fac622804f49de86d7cecaee92365d4a0f829.a64a22196690e0e82ead56f388a3ef3a50de93335926ccfa20610217db589307 [INFO|configuration_utils.py:689] 2022-03-29 16:47:20,060 >> Model config BertConfig { "_name_or_path": "bert-base-cased", "architectures": [ "BertForMaskedLM" ], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "initializer_range": 0.02, "intermediate_size": 3072, "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", "transformers_version": "4.18.0.dev0", "type_vocab_size": 2, "use_cache": true, "vocab_size": 28996 } 03/29/2022 16:47:20 - WARNING - datasets.builder - Using custom data configuration default-70e7fb910b588de7 03/29/2022 16:47:20 - WARNING - datasets.builder - Reusing dataset text (/root/.cache/huggingface/datasets/text/default-70e7fb910b588de7/0.0.0/4b86d314f7236db91f0a0f5cda32d4375445e64c5eda2692655dd99c2dac68e8) 100% 1/1 [00:00<00:00, 86.72it/s] [INFO|modeling_utils.py:1771] 2022-03-29 16:47:20,305 >> loading weights file https://huggingface.co/bert-base-cased/resolve/main/pytorch_model.bin from cache at /root/.cache/huggingface/transformers/092cc582560fc3833e556b3f833695c26343cb54b7e88cd02d40821462a74999.1f48cab6c959fc6c360d22bea39d06959e90f5b002e77e836d2da45464875cda 03/29/2022 16:47:20 - WARNING - datasets.builder - Using custom data configuration default-70e7fb910b588de7 03/29/2022 16:47:20 - WARNING - datasets.builder - Reusing dataset text (/root/.cache/huggingface/datasets/text/default-70e7fb910b588de7/0.0.0/4b86d314f7236db91f0a0f5cda32d4375445e64c5eda2692655dd99c2dac68e8) 03/29/2022 16:47:20 - WARNING - datasets.builder - Using custom data configuration default-70e7fb910b588de7 03/29/2022 16:47:20 - WARNING - datasets.builder - Reusing dataset text (/root/.cache/huggingface/datasets/text/default-70e7fb910b588de7/0.0.0/4b86d314f7236db91f0a0f5cda32d4375445e64c5eda2692655dd99c2dac68e8) 03/29/2022 16:47:20 - WARNING - run_mlm - Process rank: -1, device: xla:0, n_gpu: 0distributed training: False, 16-bits training: False 03/29/2022 16:47:20 - WARNING - run_mlm - Process rank: -1, device: xla:0, n_gpu: 0distributed training: False, 16-bits training: False 03/29/2022 16:47:20 - WARNING - datasets.builder - Using custom data configuration default-70e7fb910b588de7 03/29/2022 16:47:20 - WARNING - datasets.builder - Reusing dataset text (/root/.cache/huggingface/datasets/text/default-70e7fb910b588de7/0.0.0/4b86d314f7236db91f0a0f5cda32d4375445e64c5eda2692655dd99c2dac68e8) 0% 0/1 [00:00> Some weights of the model checkpoint at bert-base-cased were not used when initializing BertForMaskedLM: ['cls.seq_relationship.bias', 'cls.seq_relationship.weight'] - This IS expected if you are initializing BertForMaskedLM from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model). - This IS NOT expected if you are initializing BertForMaskedLM from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model). [INFO|modeling_utils.py:2066] 2022-03-29 16:47:32,992 >> All the weights of BertForMaskedLM were initialized from the model checkpoint at bert-base-cased. If your task is similar to the task the model of the checkpoint was trained on, you can already use BertForMaskedLM for predictions without further training. 03/29/2022 16:47:33 - WARNING - datasets.arrow_dataset - Loading cached processed dataset at /root/.cache/huggingface/datasets/text/default-70e7fb910b588de7/0.0.0/4b86d314f7236db91f0a0f5cda32d4375445e64c5eda2692655dd99c2dac68e8/cache-82402e216c1655e1.arrow 03/29/2022 16:47:33 - WARNING - datasets.arrow_dataset - Loading cached processed dataset at /root/.cache/huggingface/datasets/text/default-70e7fb910b588de7/0.0.0/4b86d314f7236db91f0a0f5cda32d4375445e64c5eda2692655dd99c2dac68e8/cache-1f6c9cc3c89e0bfe.arrow [WARNING|modeling_utils.py:2049] 2022-03-29 16:47:39,080 >> Some weights of the model checkpoint at bert-base-cased were not used when initializing BertForMaskedLM: ['cls.seq_relationship.bias', 'cls.seq_relationship.weight'] - This IS expected if you are initializing BertForMaskedLM from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model). - This IS NOT expected if you are initializing BertForMaskedLM from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model). [WARNING|modeling_utils.py:2049] 2022-03-29 16:47:39,632 >> Some weights of the model checkpoint at bert-base-cased were not used when initializing BertForMaskedLM: ['cls.seq_relationship.bias', 'cls.seq_relationship.weight'] - This IS expected if you are initializing BertForMaskedLM from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model). - This IS NOT expected if you are initializing BertForMaskedLM from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model). [WARNING|modeling_utils.py:2049] 2022-03-29 16:47:39,928 >> Some weights of the model checkpoint at bert-base-cased were not used when initializing BertForMaskedLM: ['cls.seq_relationship.bias', 'cls.seq_relationship.weight'] - This IS expected if you are initializing BertForMaskedLM from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model). - This IS NOT expected if you are initializing BertForMaskedLM from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model). [WARNING|modeling_utils.py:2049] 2022-03-29 16:47:40,019 >> Some weights of the model checkpoint at bert-base-cased were not used when initializing BertForMaskedLM: ['cls.seq_relationship.weight', 'cls.seq_relationship.bias'] - This IS expected if you are initializing BertForMaskedLM from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model). - This IS NOT expected if you are initializing BertForMaskedLM from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model). [WARNING|modeling_utils.py:2049] 2022-03-29 16:47:40,179 >> Some weights of the model checkpoint at bert-base-cased were not used when initializing BertForMaskedLM: ['cls.seq_relationship.weight', 'cls.seq_relationship.bias'] - This IS expected if you are initializing BertForMaskedLM from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model). - This IS NOT expected if you are initializing BertForMaskedLM from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model). [WARNING|modeling_utils.py:2049] 2022-03-29 16:47:40,426 >> Some weights of the model checkpoint at bert-base-cased were not used when initializing BertForMaskedLM: ['cls.seq_relationship.bias', 'cls.seq_relationship.weight'] - This IS expected if you are initializing BertForMaskedLM from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model). - This IS NOT expected if you are initializing BertForMaskedLM from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model). [WARNING|modeling_utils.py:2049] 2022-03-29 16:47:40,521 >> Some weights of the model checkpoint at bert-base-cased were not used when initializing BertForMaskedLM: ['cls.seq_relationship.weight', 'cls.seq_relationship.bias'] - This IS expected if you are initializing BertForMaskedLM from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model). - This IS NOT expected if you are initializing BertForMaskedLM from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model). 03/29/2022 16:47:40 - WARNING - datasets.arrow_dataset - Loading cached processed dataset at /root/.cache/huggingface/datasets/text/default-70e7fb910b588de7/0.0.0/4b86d314f7236db91f0a0f5cda32d4375445e64c5eda2692655dd99c2dac68e8/cache-82402e216c1655e1.arrow WARNING:datasets.arrow_dataset:Loading cached processed dataset at /root/.cache/huggingface/datasets/text/default-70e7fb910b588de7/0.0.0/4b86d314f7236db91f0a0f5cda32d4375445e64c5eda2692655dd99c2dac68e8/cache-82402e216c1655e1.arrow 03/29/2022 16:47:40 - WARNING - datasets.arrow_dataset - Loading cached processed dataset at /root/.cache/huggingface/datasets/text/default-70e7fb910b588de7/0.0.0/4b86d314f7236db91f0a0f5cda32d4375445e64c5eda2692655dd99c2dac68e8/cache-82402e216c1655e1.arrow 03/29/2022 16:47:40 - WARNING - datasets.arrow_dataset - Loading cached processed dataset at /root/.cache/huggingface/datasets/text/default-70e7fb910b588de7/0.0.0/4b86d314f7236db91f0a0f5cda32d4375445e64c5eda2692655dd99c2dac68e8/cache-82402e216c1655e1.arrow 03/29/2022 16:47:40 - WARNING - datasets.arrow_dataset - Loading cached processed dataset at /root/.cache/huggingface/datasets/text/default-70e7fb910b588de7/0.0.0/4b86d314f7236db91f0a0f5cda32d4375445e64c5eda2692655dd99c2dac68e8/cache-82402e216c1655e1.arrow 03/29/2022 16:47:40 - WARNING - datasets.arrow_dataset - Loading cached processed dataset at /root/.cache/huggingface/datasets/text/default-70e7fb910b588de7/0.0.0/4b86d314f7236db91f0a0f5cda32d4375445e64c5eda2692655dd99c2dac68e8/cache-82402e216c1655e1.arrow 03/29/2022 16:47:40 - WARNING - datasets.arrow_dataset - Loading cached processed dataset at /root/.cache/huggingface/datasets/text/default-70e7fb910b588de7/0.0.0/4b86d314f7236db91f0a0f5cda32d4375445e64c5eda2692655dd99c2dac68e8/cache-82402e216c1655e1.arrow 03/29/2022 16:47:42 - WARNING - datasets.arrow_dataset - Loading cached processed dataset at /root/.cache/huggingface/datasets/text/default-70e7fb910b588de7/0.0.0/4b86d314f7236db91f0a0f5cda32d4375445e64c5eda2692655dd99c2dac68e8/cache-1f6c9cc3c89e0bfe.arrow 03/29/2022 16:47:42 - WARNING - datasets.arrow_dataset - Loading cached processed dataset at /root/.cache/huggingface/datasets/text/default-70e7fb910b588de7/0.0.0/4b86d314f7236db91f0a0f5cda32d4375445e64c5eda2692655dd99c2dac68e8/cache-1f6c9cc3c89e0bfe.arrow 03/29/2022 16:47:42 - WARNING - datasets.arrow_dataset - Loading cached processed dataset at /root/.cache/huggingface/datasets/text/default-70e7fb910b588de7/0.0.0/4b86d314f7236db91f0a0f5cda32d4375445e64c5eda2692655dd99c2dac68e8/cache-1f6c9cc3c89e0bfe.arrow 03/29/2022 16:47:42 - WARNING - datasets.arrow_dataset - Loading cached processed dataset at /root/.cache/huggingface/datasets/text/default-70e7fb910b588de7/0.0.0/4b86d314f7236db91f0a0f5cda32d4375445e64c5eda2692655dd99c2dac68e8/cache-1f6c9cc3c89e0bfe.arrow WARNING:datasets.arrow_dataset:Loading cached processed dataset at /root/.cache/huggingface/datasets/text/default-70e7fb910b588de7/0.0.0/4b86d314f7236db91f0a0f5cda32d4375445e64c5eda2692655dd99c2dac68e8/cache-1f6c9cc3c89e0bfe.arrow 03/29/2022 16:47:42 - WARNING - datasets.arrow_dataset - Loading cached processed dataset at /root/.cache/huggingface/datasets/text/default-70e7fb910b588de7/0.0.0/4b86d314f7236db91f0a0f5cda32d4375445e64c5eda2692655dd99c2dac68e8/cache-1f6c9cc3c89e0bfe.arrow 03/29/2022 16:47:42 - WARNING - datasets.arrow_dataset - Loading cached processed dataset at /root/.cache/huggingface/datasets/text/default-70e7fb910b588de7/0.0.0/4b86d314f7236db91f0a0f5cda32d4375445e64c5eda2692655dd99c2dac68e8/cache-1f6c9cc3c89e0bfe.arrow /usr/local/lib/python3.7/dist-packages/transformers/optimization.py:309: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning FutureWarning, /usr/local/lib/python3.7/dist-packages/transformers/optimization.py:309: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning FutureWarning, /usr/local/lib/python3.7/dist-packages/transformers/optimization.py:309: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning FutureWarning, /usr/local/lib/python3.7/dist-packages/transformers/optimization.py:309: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning FutureWarning, /usr/local/lib/python3.7/dist-packages/transformers/optimization.py:309: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning FutureWarning, /usr/local/lib/python3.7/dist-packages/transformers/optimization.py:309: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning FutureWarning, [INFO|trainer.py:571] 2022-03-29 16:48:21,453 >> The following columns in the training set don't have a corresponding argument in `BertForMaskedLM.forward` and have been ignored: special_tokens_mask. If special_tokens_mask are not expected by `BertForMaskedLM.forward`, you can safely ignore this message. /usr/local/lib/python3.7/dist-packages/transformers/optimization.py:309: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning FutureWarning, [INFO|trainer.py:1288] 2022-03-29 16:48:21,628 >> ***** Running training ***** [INFO|trainer.py:1289] 2022-03-29 16:48:21,628 >> Num examples = 1783341 [INFO|trainer.py:1290] 2022-03-29 16:48:21,628 >> Num Epochs = 4 [INFO|trainer.py:1291] 2022-03-29 16:48:21,628 >> Instantaneous batch size per device = 64 [INFO|trainer.py:1292] 2022-03-29 16:48:21,628 >> Total train batch size (w. parallel, distributed & accumulation) = 512 [INFO|trainer.py:1293] 2022-03-29 16:48:21,628 >> Gradient Accumulation steps = 1 [INFO|trainer.py:1294] 2022-03-29 16:48:21,629 >> Total optimization steps = 13936 0% 0/13936 [00:00 main() File "/content/transformers/examples/legacy/seq2seq/xla_spawn.py", line 81, in main xmp.spawn(mod._mp_fn, args=(), nprocs=args.num_cores) File "/usr/local/lib/python3.7/dist-packages/torch_xla/distributed/xla_multiprocessing.py", line 394, in spawn start_method=start_method) File "/usr/local/lib/python3.7/dist-packages/torch/multiprocessing/spawn.py", line 188, in start_processes while not context.join(): File "/usr/local/lib/python3.7/dist-packages/torch/multiprocessing/spawn.py", line 101, in join timeout=timeout, File "/usr/lib/python3.7/multiprocessing/connection.py", line 928, in wait return ready File "/usr/lib/python3.7/selectors.py", line 203, in __exit__ self.close() File "/usr/lib/python3.7/selectors.py", line 269, in close self._fd_to_key.clear() KeyboardInterrupt 0% 7/13936 [08:18<275:36:00, 71.23s/it]