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=<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=<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
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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)
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[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
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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
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03/29/2022 16:47:20 - WARNING - datasets.builder - Reusing dataset text (/root/.cache/huggingface/datasets/text/default-70e7fb910b588de7/0.0.0/4b86d314f7236db91f0a0f5cda32d4375445e64c5eda2692655dd99c2dac68e8)
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03/29/2022 16:47:21 - WARNING - datasets.builder - Reusing dataset text (/root/.cache/huggingface/datasets/text/default-70e7fb910b588de7/0.0.0/4b86d314f7236db91f0a0f5cda32d4375445e64c5eda2692655dd99c2dac68e8)
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03/29/2022 16:47:21 - WARNING - run_mlm - Process rank: -1, device: xla:0, n_gpu: 0distributed training: False, 16-bits training: False
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03/29/2022 16:47:21 - WARNING - datasets.builder - Reusing dataset text (/root/.cache/huggingface/datasets/text/default-70e7fb910b588de7/0.0.0/4b86d314f7236db91f0a0f5cda32d4375445e64c5eda2692655dd99c2dac68e8)
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03/29/2022 16:47:22 - WARNING - datasets.builder - Reusing dataset text (/root/.cache/huggingface/datasets/text/default-70e7fb910b588de7/0.0.0/4b86d314f7236db91f0a0f5cda32d4375445e64c5eda2692655dd99c2dac68e8)
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03/29/2022 16:47:22 - WARNING - datasets.builder - Using custom data configuration default-70e7fb910b588de7
WARNING:run_mlm:Process rank: -1, device: xla:0, n_gpu: 0distributed training: False, 16-bits training: False
03/29/2022 16:47:22 - WARNING - datasets.builder - Reusing dataset text (/root/.cache/huggingface/datasets/text/default-70e7fb910b588de7/0.0.0/4b86d314f7236db91f0a0f5cda32d4375445e64c5eda2692655dd99c2dac68e8)
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03/29/2022 16:47:22 - WARNING - datasets.builder - Reusing dataset text (/root/.cache/huggingface/datasets/text/default-70e7fb910b588de7/0.0.0/4b86d314f7236db91f0a0f5cda32d4375445e64c5eda2692655dd99c2dac68e8)
WARNING:datasets.builder:Using custom data configuration default-70e7fb910b588de7
WARNING:datasets.builder:Reusing dataset text (/root/.cache/huggingface/datasets/text/default-70e7fb910b588de7/0.0.0/4b86d314f7236db91f0a0f5cda32d4375445e64c5eda2692655dd99c2dac68e8)
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WARNING:datasets.builder:Using custom data configuration default-70e7fb910b588de7
WARNING:datasets.builder:Reusing dataset text (/root/.cache/huggingface/datasets/text/default-70e7fb910b588de7/0.0.0/4b86d314f7236db91f0a0f5cda32d4375445e64c5eda2692655dd99c2dac68e8)
WARNING:datasets.builder:Using custom data configuration default-70e7fb910b588de7
WARNING:datasets.builder:Reusing dataset text (/root/.cache/huggingface/datasets/text/default-70e7fb910b588de7/0.0.0/4b86d314f7236db91f0a0f5cda32d4375445e64c5eda2692655dd99c2dac68e8)
[WARNING|modeling_utils.py:2049] 2022-03-29 16:47:32,992 >> 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<?, ?it/s]/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,
  0% 7/13936 [05:39<353:19:22, 91.32s/it]Traceback (most recent call last):
  File "/usr/lib/python3.7/multiprocessing/connection.py", line 921, in wait
    ready = selector.select(timeout)
  File "/usr/lib/python3.7/selectors.py", line 415, in select
    fd_event_list = self._selector.poll(timeout)
KeyboardInterrupt

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/content/transformers/examples/legacy/seq2seq/xla_spawn.py", line 85, in <module>
    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]