Commit
•
b0a9076
1
Parent(s):
91fd052
Training in progress, step 500
Browse files- .gitattributes +1 -0
- pytorch_model.bin +1 -1
- run_distributed.sh +36 -0
- run_speech_recognition_seq2seq.py +2 -1
- runs/Mar28_16-59-05_sanchit--v100/1648486774.395873/events.out.tfevents.1648486774.sanchit--v100.258712.1 +3 -0
- runs/Mar28_16-59-05_sanchit--v100/events.out.tfevents.1648486774.sanchit--v100.258712.0 +3 -0
- runs/Mar28_17-01-12_sanchit--v100/1648486901.737252/events.out.tfevents.1648486901.sanchit--v100.260352.1 +3 -0
- runs/Mar28_17-01-12_sanchit--v100/events.out.tfevents.1648486901.sanchit--v100.260352.0 +3 -0
- training_args.bin +1 -1
- wandb/debug-internal.log +1 -1
- wandb/debug.log +1 -1
- wandb/latest-run +1 -1
- wandb/run-20220327_210229-2wif55w7/files/config.yaml +7 -0
- wandb/run-20220327_210229-2wif55w7/files/output.log +17 -0
- wandb/run-20220327_210229-2wif55w7/files/wandb-summary.json +0 -0
- wandb/run-20220327_210229-2wif55w7/logs/debug-internal.log +2 -2
- wandb/run-20220327_210229-2wif55w7/logs/debug.log +106 -0
- wandb/run-20220327_210229-2wif55w7/run-2wif55w7.wandb +2 -2
- wandb/run-20220328_165934-10ki2qcy/files/config.yaml +716 -0
- wandb/run-20220328_165934-10ki2qcy/files/output.log +57 -0
- wandb/run-20220328_165934-10ki2qcy/files/requirements.txt +186 -0
- wandb/run-20220328_165934-10ki2qcy/files/wandb-metadata.json +58 -0
- wandb/run-20220328_165934-10ki2qcy/files/wandb-summary.json +1 -0
- wandb/run-20220328_165934-10ki2qcy/logs/debug-internal.log +76 -0
- wandb/run-20220328_165934-10ki2qcy/logs/debug.log +29 -0
- wandb/run-20220328_165934-10ki2qcy/run-10ki2qcy.wandb +0 -0
- wandb/run-20220328_170142-by95ehra/files/config.yaml +0 -0
- wandb/run-20220328_170142-by95ehra/files/output.log +0 -0
- wandb/run-20220328_170142-by95ehra/files/requirements.txt +186 -0
- wandb/run-20220328_170142-by95ehra/files/wandb-metadata.json +59 -0
- wandb/run-20220328_170142-by95ehra/files/wandb-summary.json +0 -0
- wandb/run-20220328_170142-by95ehra/logs/debug-internal.log +0 -0
- wandb/run-20220328_170142-by95ehra/logs/debug.log +27 -0
- wandb/run-20220328_170142-by95ehra/run-by95ehra.wandb +3 -0
.gitattributes
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@@ -33,3 +33,4 @@ wandb/run-20220326_171130-bdf5nvyg/logs/debug-internal.log filter=lfs diff=lfs m
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wandb/run-20220327_194752-3s89mmo1/run-3s89mmo1.wandb filter=lfs diff=lfs merge=lfs -text
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wandb/run-20220327_210229-2wif55w7/run-2wif55w7.wandb filter=lfs diff=lfs merge=lfs -text
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wandb/run-20220327_210229-2wif55w7/logs/debug-internal.log filter=lfs diff=lfs merge=lfs -text
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wandb/run-20220327_194752-3s89mmo1/run-3s89mmo1.wandb filter=lfs diff=lfs merge=lfs -text
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wandb/run-20220327_210229-2wif55w7/run-2wif55w7.wandb filter=lfs diff=lfs merge=lfs -text
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wandb/run-20220327_210229-2wif55w7/logs/debug-internal.log filter=lfs diff=lfs merge=lfs -text
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wandb/run-20220328_170142-by95ehra/run-by95ehra.wandb filter=lfs diff=lfs merge=lfs -text
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pytorch_model.bin
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run_distributed.sh
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#!/usr/bin/env bash
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python -m torch.distributed.launch \
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--nproc_per_node 2 run_speech_recognition_seq2seq.py \
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--dataset_name="librispeech_asr" \
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--model_name_or_path="./" \
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--dataset_config_name="clean" \
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--train_split_name="train.100" \
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--eval_split_name="validation" \
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--output_dir="./" \
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--preprocessing_num_workers="1" \
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--length_column_name="input_length" \
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--overwrite_output_dir \
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--num_train_epochs="10" \
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--per_device_train_batch_size="8" \
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--per_device_eval_batch_size="8" \
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--gradient_accumulation_steps="16" \
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--generation_max_length="40" \
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--generation_num_beams="1" \
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--learning_rate="3e-4" \
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--warmup_steps="500" \
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--evaluation_strategy="steps" \
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--text_column_name="text" \
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--save_steps="500" \
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--eval_steps="500" \
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--logging_steps="1" \
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--save_total_limit="1" \
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--freeze_feature_encoder \
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--gradient_checkpointing \
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--fp16 \
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--group_by_length \
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--predict_with_generate \
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--do_lower_case \
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--do_eval --do_train \
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--push_to_hub \
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--use_auth_token
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run_speech_recognition_seq2seq.py
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@@ -468,7 +468,7 @@ def main():
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optimizers = (optimizer, None)
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-
#11. Initialize
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trainer = Seq2SeqTrainer(
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model=model,
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tokenizer=feature_extractor,
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data_collator=data_collator,
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compute_metrics=compute_metrics if training_args.predict_with_generate else None,
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)
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# 12. Training
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optimizers = (optimizer, None)
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#11. Initialize Trainer with Adam8bit
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trainer = Seq2SeqTrainer(
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model=model,
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tokenizer=feature_extractor,
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data_collator=data_collator,
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compute_metrics=compute_metrics if training_args.predict_with_generate else None,
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optimizers=optimizers,
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)
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# 12. Training
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runs/Mar28_16-59-05_sanchit--v100/1648486774.395873/events.out.tfevents.1648486774.sanchit--v100.258712.1
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training_args.bin
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eval_steps_per_second = 0.43
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eval_wer = 1.5371
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[INFO|trainer.py:2369] 2022-03-28 11:28:56,189 >> Batch size = 8llowing result as it does not have all the necessary fields:t operations will not be computed-28 11:13:17,895 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
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eval_steps_per_second = 0.43
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eval_wer = 1.5371
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[INFO|trainer.py:2369] 2022-03-28 11:28:56,189 >> Batch size = 8llowing result as it does not have all the necessary fields:t operations will not be computed-28 11:13:17,895 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
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+
[INFO|trainer.py:2369] 2022-03-28 11:28:56,189 >> Batch size = 8llowing result as it does not have all the necessary fields:t operations will not be computed-28 11:13:17,895 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
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[INFO|trainer.py:2369] 2022-03-28 11:28:56,189 >> Batch size = 8llowing result as it does not have all the necessary fields:t operations will not be computed-28 11:13:17,895 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
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+
[INFO|trainer.py:2369] 2022-03-28 11:28:56,189 >> Batch size = 8llowing result as it does not have all the necessary fields:t operations will not be computed-28 11:13:17,895 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
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[INFO|trainer.py:2369] 2022-03-28 11:28:56,189 >> Batch size = 8llowing result as it does not have all the necessary fields:t operations will not be computed-28 11:13:17,895 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
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[INFO|trainer.py:2369] 2022-03-28 11:28:56,189 >> Batch size = 8llowing result as it does not have all the necessary fields:t operations will not be computed-28 11:13:17,895 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
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[INFO|trainer.py:2369] 2022-03-28 11:28:56,189 >> Batch size = 8llowing result as it does not have all the necessary fields:t operations will not be computed-28 11:13:17,895 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
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[INFO|trainer.py:2369] 2022-03-28 11:28:56,189 >> Batch size = 8llowing result as it does not have all the necessary fields:t operations will not be computed-28 11:13:17,895 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
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[INFO|trainer.py:2369] 2022-03-28 11:28:56,189 >> Batch size = 8llowing result as it does not have all the necessary fields:t operations will not be computed-28 11:13:17,895 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
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+
[INFO|trainer.py:2369] 2022-03-28 11:28:56,189 >> Batch size = 8llowing result as it does not have all the necessary fields:t operations will not be computed-28 11:13:17,895 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
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+
[INFO|trainer.py:2369] 2022-03-28 11:28:56,189 >> Batch size = 8llowing result as it does not have all the necessary fields:t operations will not be computed-28 11:13:17,895 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
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+
[INFO|trainer.py:2369] 2022-03-28 11:28:56,189 >> Batch size = 8llowing result as it does not have all the necessary fields:t operations will not be computed-28 11:13:17,895 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
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[INFO|trainer.py:2369] 2022-03-28 11:28:56,189 >> Batch size = 8llowing result as it does not have all the necessary fields:t operations will not be computed-28 11:13:17,895 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
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03/28/2022 11:42:43 - WARNING - huggingface_hub.repository - To https://huggingface.co/sanchit-gandhi/wav2vec2-2-bart-large-cnn
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Upload file runs/Mar27_21-02-01_sanchit--v100/events.out.tfevents.1648467705.sanchit--v100.3678730.2: 100%|█| 358/358 [0ields:t operations will not be computed-28 11:13:17,895 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
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info = model_info(self.finetuned_from)formers/src/transformers/modelcard.py", line 611, in from_trainer, in <module>ields:t operations will not be computed-28 11:13:17,895 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
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info = model_info(self.finetuned_from)formers/src/transformers/modelcard.py", line 611, in from_trainer, in <module>ields:t operations will not be computed-28 11:13:17,895 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
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+
info = model_info(self.finetuned_from)formers/src/transformers/modelcard.py", line 611, in from_trainer, in <module>ields:t operations will not be computed-28 11:13:17,895 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
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wandb/run-20220327_210229-2wif55w7/files/wandb-summary.json
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2022-03-27 21:02:30,923 INFO MainThread:3678730 [wandb_init.py:init():651] run started, returning control to user process
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2022-03-27 21:02:30,925 INFO MainThread:3678730 [wandb_run.py:_config_callback():966] config_cb None None {'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': 'torch.float32', 'use_bfloat16': False, 'pruned_heads': {}, 'tie_word_embeddings': False, 'is_encoder_decoder': True, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'max_length': 40, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 5, 'num_beam_groups': 1, 'diversity_penalty': 0.0, 'temperature': 1.0, 'top_k': 50, 'top_p': 1.0, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'no_repeat_ngram_size': 0, 'encoder_no_repeat_ngram_size': 0, 'bad_words_ids': None, 'num_return_sequences': 1, 'chunk_size_feed_forward': 0, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 'remove_invalid_values': False, 'architectures': ['SpeechEncoderDecoderModel'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': None, 'pad_token_id': 1, 'eos_token_id': 2, 'sep_token_id': None, 'decoder_start_token_id': 0, 'task_specific_params': None, 'problem_type': None, '_name_or_path': './', 'transformers_version': None, 'decoder': {'vocab_size': 50264, 'max_position_embeddings': 1024, 'd_model': 1024, 'encoder_ffn_dim': 4096, 'encoder_layers': 12, 'encoder_attention_heads': 16, 'decoder_ffn_dim': 4096, 'decoder_layers': 12, 'decoder_attention_heads': 16, 'dropout': 0.1, 'attention_dropout': 0.0, 'activation_dropout': 0.0, 'activation_function': 'gelu', 'init_std': 0.02, 'encoder_layerdrop': 0.0, 'decoder_layerdrop': 0.0, 'classifier_dropout': 0.0, 'use_cache': True, 'num_hidden_layers': 12, 'scale_embedding': False, 'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': None, 'use_bfloat16': False, 'pruned_heads': {}, 'tie_word_embeddings': True, 'is_encoder_decoder': False, 'is_decoder': True, 'cross_attention_hidden_size': None, 'add_cross_attention': True, 'tie_encoder_decoder': False, 'max_length': 142, 'min_length': 56, 'do_sample': False, 'early_stopping': True, 'num_beams': 4, 'num_beam_groups': 1, 'diversity_penalty': 0.0, 'temperature': 1.0, 'top_k': 50, 'top_p': 1.0, 'repetition_penalty': 1.0, 'length_penalty': 2.0, 'no_repeat_ngram_size': 3, 'encoder_no_repeat_ngram_size': 0, 'bad_words_ids': None, 'num_return_sequences': 1, 'chunk_size_feed_forward': 0, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': 0, 'forced_eos_token_id': 2, 'remove_invalid_values': False, 'architectures': ['BartForConditionalGeneration'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1', 2: 'LABEL_2'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1, 'LABEL_2': 2}, 'tokenizer_class': None, 'prefix': ' ', 'bos_token_id': 0, 'pad_token_id': 1, 'eos_token_id': 2, 'sep_token_id': None, 'decoder_start_token_id': 2, 'task_specific_params': {'summarization': {'early_stopping': True, 'length_penalty': 2.0, 'max_length': 142, 'min_length': 56, 'no_repeat_ngram_size': 3, 'num_beams': 4}}, 'problem_type': None, '_name_or_path': 'facebook/bart-large-cnn', 'transformers_version': '4.17.0.dev0', '_num_labels': 3, 'add_final_layer_norm': False, 'classif_dropout': 0.0, 'force_bos_token_to_be_generated': True, 'gradient_checkpointing': False, 'normalize_before': False, 'output_past': True, 'model_type': 'bart'}, 'encoder': {'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': None, 'use_bfloat16': False, 'pruned_heads': {}, 'tie_word_embeddings': True, 'is_encoder_decoder': False, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'max_length': 20, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 1, 'num_beam_groups': 1, 'diversity_penalty': 0.0, 'temperature': 1.0, 'top_k': 50, 'top_p': 1.0, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'no_repeat_ngram_size': 0, 'encoder_no_repeat_ngram_size': 0, 'bad_words_ids': None, 'num_return_sequences': 1, 'chunk_size_feed_forward': 0, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 'remove_invalid_values': False, 'architectures': ['Wav2Vec2ForPreTraining'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': 1, 'pad_token_id': 0, 'eos_token_id': 2, 'sep_token_id': None, 'decoder_start_token_id': None, 'task_specific_params': None, 'problem_type': None, '_name_or_path': 'facebook/wav2vec2-large-lv60', 'transformers_version': '4.17.0.dev0', 'feat_extract_dropout': 0.0, 'gradient_checkpointing': False, 'hidden_dropout_prob': 0.1, 'num_feat_extract_layers': 7, 'hidden_size': 1024, 'feat_extract_norm': 'layer', 'feat_extract_activation': 'gelu', 'conv_dim': [512, 512, 512, 512, 512, 512, 512], 'conv_stride': [5, 2, 2, 2, 2, 2, 2], 'conv_kernel': [10, 3, 3, 3, 3, 2, 2], 'conv_bias': True, 'num_conv_pos_embeddings': 128, 'num_conv_pos_embedding_groups': 16, 'num_hidden_layers': 24, 'intermediate_size': 4096, 'hidden_act': 'gelu', 'num_attention_heads': 16, 'hidden_dropout': 0.1, 'attention_dropout': 0.1, 'activation_dropout': 0.1, 'feat_proj_dropout': 0.0, 'final_dropout': 0.0, 'layerdrop': 0.0, 'layer_norm_eps': 1e-05, 'initializer_range': 0.02, 'vocab_size': 32, 'do_stable_layer_norm': True, 'use_weighted_layer_sum': False, 'apply_spec_augment': True, 'mask_time_prob': 0.1, 'mask_time_length': 10, 'mask_time_min_masks': 2, 'mask_feature_prob': 0.0, 'mask_feature_length': 10, 'mask_feature_min_masks': 0, 'num_codevectors_per_group': 320, 'num_codevector_groups': 2, 'contrastive_logits_temperature': 0.1, 'feat_quantizer_dropout': 0.0, 'num_negatives': 100, 'codevector_dim': 768, 'proj_codevector_dim': 768, 'diversity_loss_weight': 0.1, 'ctc_loss_reduction': 'sum', 'ctc_zero_infinity': False, 'add_adapter': True, 'adapter_kernel_size': 3, 'adapter_stride': 2, 'num_adapter_layers': 3, 'output_hidden_size': 1024, 'classifier_proj_size': 256, 'tdnn_dim': [512, 512, 512, 512, 1500], 'tdnn_kernel': [5, 3, 3, 1, 1], 'tdnn_dilation': [1, 2, 3, 1, 1], 'xvector_output_dim': 512, 'model_type': 'wav2vec2'}, 'model_type': 'speech-encoder-decoder', 'processor_class': 'Wav2Vec2Processor', 'use_cache': False, 'output_dir': './', 'overwrite_output_dir': True, 'do_train': True, 'do_eval': True, 'do_predict': False, 'evaluation_strategy': 'steps', 'prediction_loss_only': False, 'per_device_train_batch_size': 8, 'per_device_eval_batch_size': 8, 'per_gpu_train_batch_size': 'None', 'per_gpu_eval_batch_size': 'None', 'gradient_accumulation_steps': 16, 'eval_accumulation_steps': 'None', 'learning_rate': 3e-05, 'weight_decay': 0.0, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 1.0, 'num_train_epochs': 10.0, 'max_steps': -1, 'lr_scheduler_type': 'linear', 'warmup_ratio': 0.0, 'warmup_steps': 500, 'log_level': -1, 'log_level_replica': -1, 'log_on_each_node': True, 'logging_dir': './runs/Mar27_21-02-01_sanchit--v100', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 1, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 500, 'save_total_limit': 1, 'save_on_each_node': False, 'no_cuda': False, 'seed': 42, 'bf16': False, 'fp16': True, 'fp16_opt_level': 'O1', 'half_precision_backend': 'amp', 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': 'None', 'local_rank': -1, 'xpu_backend': 'None', 'tpu_num_cores': 'None', 'tpu_metrics_debug': False, 'debug': '[]', 'dataloader_drop_last': False, 'eval_steps': 500, 'dataloader_num_workers': 0, 'past_index': -1, 'run_name': './', 'disable_tqdm': False, 'remove_unused_columns': True, 'label_names': 'None', 'load_best_model_at_end': False, 'metric_for_best_model': 'None', 'greater_is_better': 'None', 'ignore_data_skip': False, 'sharded_ddp': '[]', 'deepspeed': 'None', 'label_smoothing_factor': 0.0, 'optim': 'adamw_hf', 'adafactor': False, 'group_by_length': True, 'length_column_name': 'input_length', 'report_to': "['tensorboard', 'wandb']", 'ddp_find_unused_parameters': 'None', 'ddp_bucket_cap_mb': 'None', 'dataloader_pin_memory': True, 'skip_memory_metrics': True, 'use_legacy_prediction_loop': False, 'push_to_hub': True, 'resume_from_checkpoint': 'None', 'hub_model_id': 'None', 'hub_strategy': 'every_save', 'hub_token': '<HUB_TOKEN>', 'gradient_checkpointing': True, 'fp16_backend': 'auto', 'push_to_hub_model_id': 'None', 'push_to_hub_organization': 'None', 'push_to_hub_token': '<PUSH_TO_HUB_TOKEN>', '_n_gpu': 1, 'mp_parameters': '', 'sortish_sampler': False, 'predict_with_generate': True, 'generation_max_length': 40, 'generation_num_beams': 1, 'train_batch_size': 8, 'eval_batch_size': 8}
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2022-03-27 21:02:30,928 INFO MainThread:3678730 [wandb_watch.py:watch():43] Watching
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2022-03-27 21:02:30,923 INFO MainThread:3678730 [wandb_init.py:init():651] run started, returning control to user process
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2022-03-27 21:02:30,925 INFO MainThread:3678730 [wandb_run.py:_config_callback():966] config_cb None None {'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': 'torch.float32', 'use_bfloat16': False, 'pruned_heads': {}, 'tie_word_embeddings': False, 'is_encoder_decoder': True, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'max_length': 40, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 5, 'num_beam_groups': 1, 'diversity_penalty': 0.0, 'temperature': 1.0, 'top_k': 50, 'top_p': 1.0, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'no_repeat_ngram_size': 0, 'encoder_no_repeat_ngram_size': 0, 'bad_words_ids': None, 'num_return_sequences': 1, 'chunk_size_feed_forward': 0, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 'remove_invalid_values': False, 'architectures': ['SpeechEncoderDecoderModel'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': None, 'pad_token_id': 1, 'eos_token_id': 2, 'sep_token_id': None, 'decoder_start_token_id': 0, 'task_specific_params': None, 'problem_type': None, '_name_or_path': './', 'transformers_version': None, 'decoder': {'vocab_size': 50264, 'max_position_embeddings': 1024, 'd_model': 1024, 'encoder_ffn_dim': 4096, 'encoder_layers': 12, 'encoder_attention_heads': 16, 'decoder_ffn_dim': 4096, 'decoder_layers': 12, 'decoder_attention_heads': 16, 'dropout': 0.1, 'attention_dropout': 0.0, 'activation_dropout': 0.0, 'activation_function': 'gelu', 'init_std': 0.02, 'encoder_layerdrop': 0.0, 'decoder_layerdrop': 0.0, 'classifier_dropout': 0.0, 'use_cache': True, 'num_hidden_layers': 12, 'scale_embedding': False, 'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': None, 'use_bfloat16': False, 'pruned_heads': {}, 'tie_word_embeddings': True, 'is_encoder_decoder': False, 'is_decoder': True, 'cross_attention_hidden_size': None, 'add_cross_attention': True, 'tie_encoder_decoder': False, 'max_length': 142, 'min_length': 56, 'do_sample': False, 'early_stopping': True, 'num_beams': 4, 'num_beam_groups': 1, 'diversity_penalty': 0.0, 'temperature': 1.0, 'top_k': 50, 'top_p': 1.0, 'repetition_penalty': 1.0, 'length_penalty': 2.0, 'no_repeat_ngram_size': 3, 'encoder_no_repeat_ngram_size': 0, 'bad_words_ids': None, 'num_return_sequences': 1, 'chunk_size_feed_forward': 0, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': 0, 'forced_eos_token_id': 2, 'remove_invalid_values': False, 'architectures': ['BartForConditionalGeneration'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1', 2: 'LABEL_2'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1, 'LABEL_2': 2}, 'tokenizer_class': None, 'prefix': ' ', 'bos_token_id': 0, 'pad_token_id': 1, 'eos_token_id': 2, 'sep_token_id': None, 'decoder_start_token_id': 2, 'task_specific_params': {'summarization': {'early_stopping': True, 'length_penalty': 2.0, 'max_length': 142, 'min_length': 56, 'no_repeat_ngram_size': 3, 'num_beams': 4}}, 'problem_type': None, '_name_or_path': 'facebook/bart-large-cnn', 'transformers_version': '4.17.0.dev0', '_num_labels': 3, 'add_final_layer_norm': False, 'classif_dropout': 0.0, 'force_bos_token_to_be_generated': True, 'gradient_checkpointing': False, 'normalize_before': False, 'output_past': True, 'model_type': 'bart'}, 'encoder': {'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': None, 'use_bfloat16': False, 'pruned_heads': {}, 'tie_word_embeddings': True, 'is_encoder_decoder': False, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'max_length': 20, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 1, 'num_beam_groups': 1, 'diversity_penalty': 0.0, 'temperature': 1.0, 'top_k': 50, 'top_p': 1.0, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'no_repeat_ngram_size': 0, 'encoder_no_repeat_ngram_size': 0, 'bad_words_ids': None, 'num_return_sequences': 1, 'chunk_size_feed_forward': 0, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 'remove_invalid_values': False, 'architectures': ['Wav2Vec2ForPreTraining'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': 1, 'pad_token_id': 0, 'eos_token_id': 2, 'sep_token_id': None, 'decoder_start_token_id': None, 'task_specific_params': None, 'problem_type': None, '_name_or_path': 'facebook/wav2vec2-large-lv60', 'transformers_version': '4.17.0.dev0', 'feat_extract_dropout': 0.0, 'gradient_checkpointing': False, 'hidden_dropout_prob': 0.1, 'num_feat_extract_layers': 7, 'hidden_size': 1024, 'feat_extract_norm': 'layer', 'feat_extract_activation': 'gelu', 'conv_dim': [512, 512, 512, 512, 512, 512, 512], 'conv_stride': [5, 2, 2, 2, 2, 2, 2], 'conv_kernel': [10, 3, 3, 3, 3, 2, 2], 'conv_bias': True, 'num_conv_pos_embeddings': 128, 'num_conv_pos_embedding_groups': 16, 'num_hidden_layers': 24, 'intermediate_size': 4096, 'hidden_act': 'gelu', 'num_attention_heads': 16, 'hidden_dropout': 0.1, 'attention_dropout': 0.1, 'activation_dropout': 0.1, 'feat_proj_dropout': 0.0, 'final_dropout': 0.0, 'layerdrop': 0.0, 'layer_norm_eps': 1e-05, 'initializer_range': 0.02, 'vocab_size': 32, 'do_stable_layer_norm': True, 'use_weighted_layer_sum': False, 'apply_spec_augment': True, 'mask_time_prob': 0.1, 'mask_time_length': 10, 'mask_time_min_masks': 2, 'mask_feature_prob': 0.0, 'mask_feature_length': 10, 'mask_feature_min_masks': 0, 'num_codevectors_per_group': 320, 'num_codevector_groups': 2, 'contrastive_logits_temperature': 0.1, 'feat_quantizer_dropout': 0.0, 'num_negatives': 100, 'codevector_dim': 768, 'proj_codevector_dim': 768, 'diversity_loss_weight': 0.1, 'ctc_loss_reduction': 'sum', 'ctc_zero_infinity': False, 'add_adapter': True, 'adapter_kernel_size': 3, 'adapter_stride': 2, 'num_adapter_layers': 3, 'output_hidden_size': 1024, 'classifier_proj_size': 256, 'tdnn_dim': [512, 512, 512, 512, 1500], 'tdnn_kernel': [5, 3, 3, 1, 1], 'tdnn_dilation': [1, 2, 3, 1, 1], 'xvector_output_dim': 512, 'model_type': 'wav2vec2'}, 'model_type': 'speech-encoder-decoder', 'processor_class': 'Wav2Vec2Processor', 'use_cache': False, 'output_dir': './', 'overwrite_output_dir': True, 'do_train': True, 'do_eval': True, 'do_predict': False, 'evaluation_strategy': 'steps', 'prediction_loss_only': False, 'per_device_train_batch_size': 8, 'per_device_eval_batch_size': 8, 'per_gpu_train_batch_size': 'None', 'per_gpu_eval_batch_size': 'None', 'gradient_accumulation_steps': 16, 'eval_accumulation_steps': 'None', 'learning_rate': 3e-05, 'weight_decay': 0.0, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 1.0, 'num_train_epochs': 10.0, 'max_steps': -1, 'lr_scheduler_type': 'linear', 'warmup_ratio': 0.0, 'warmup_steps': 500, 'log_level': -1, 'log_level_replica': -1, 'log_on_each_node': True, 'logging_dir': './runs/Mar27_21-02-01_sanchit--v100', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 1, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 500, 'save_total_limit': 1, 'save_on_each_node': False, 'no_cuda': False, 'seed': 42, 'bf16': False, 'fp16': True, 'fp16_opt_level': 'O1', 'half_precision_backend': 'amp', 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': 'None', 'local_rank': -1, 'xpu_backend': 'None', 'tpu_num_cores': 'None', 'tpu_metrics_debug': False, 'debug': '[]', 'dataloader_drop_last': False, 'eval_steps': 500, 'dataloader_num_workers': 0, 'past_index': -1, 'run_name': './', 'disable_tqdm': False, 'remove_unused_columns': True, 'label_names': 'None', 'load_best_model_at_end': False, 'metric_for_best_model': 'None', 'greater_is_better': 'None', 'ignore_data_skip': False, 'sharded_ddp': '[]', 'deepspeed': 'None', 'label_smoothing_factor': 0.0, 'optim': 'adamw_hf', 'adafactor': False, 'group_by_length': True, 'length_column_name': 'input_length', 'report_to': "['tensorboard', 'wandb']", 'ddp_find_unused_parameters': 'None', 'ddp_bucket_cap_mb': 'None', 'dataloader_pin_memory': True, 'skip_memory_metrics': True, 'use_legacy_prediction_loop': False, 'push_to_hub': True, 'resume_from_checkpoint': 'None', 'hub_model_id': 'None', 'hub_strategy': 'every_save', 'hub_token': '<HUB_TOKEN>', 'gradient_checkpointing': True, 'fp16_backend': 'auto', 'push_to_hub_model_id': 'None', 'push_to_hub_organization': 'None', 'push_to_hub_token': '<PUSH_TO_HUB_TOKEN>', '_n_gpu': 1, 'mp_parameters': '', 'sortish_sampler': False, 'predict_with_generate': True, 'generation_max_length': 40, 'generation_num_beams': 1, 'train_batch_size': 8, 'eval_batch_size': 8}
|
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2022-03-27 21:02:30,928 INFO MainThread:3678730 [wandb_watch.py:watch():43] Watching
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+
2022-03-28 11:42:47,792 INFO MainThread:3678730 [wandb_run.py:_atexit_cleanup():1797] got exitcode: 1
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+
2022-03-28 11:42:47,795 INFO MainThread:3678730 [wandb_run.py:_restore():1769] restore
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2022-03-28 11:42:50,478 INFO MainThread:3678730 [wandb_run.py:_wait_for_finish():1929] got exit ret: file_counts {
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wandb_count: 1
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}
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pusher_stats {
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uploaded_bytes: 2017
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total_bytes: 2017
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}
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2022-03-28 11:42:50,581 INFO MainThread:3678730 [wandb_run.py:_wait_for_finish():1929] got exit ret: file_counts {
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wandb_count: 1
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}
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pusher_stats {
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uploaded_bytes: 2017
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total_bytes: 2017
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}
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2022-03-28 11:42:50,774 INFO MainThread:3678730 [wandb_run.py:_wait_for_finish():1929] got exit ret: file_counts {
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47 |
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wandb_count: 1
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pusher_stats {
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|
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2022-03-28 11:42:51,873 INFO MainThread:3678730 [wandb_run.py:_wait_for_finish():1929] got exit ret: file_counts {
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wandb_count: 1
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pusher_stats {
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2022-03-28 11:42:52,242 INFO MainThread:3678730 [wandb_run.py:_wait_for_finish():1929] got exit ret: file_counts {
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wandb_count: 4
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2022-03-28 11:42:52,344 INFO MainThread:3678730 [wandb_run.py:_wait_for_finish():1929] got exit ret: file_counts {
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wandb_count: 5
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pusher_stats {
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2022-03-28 11:42:52,446 INFO MainThread:3678730 [wandb_run.py:_wait_for_finish():1929] got exit ret: file_counts {
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79 |
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wandb_count: 5
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pusher_stats {
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total_bytes: 9375261
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|
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2022-03-28 11:42:52,548 INFO MainThread:3678730 [wandb_run.py:_wait_for_finish():1929] got exit ret: file_counts {
|
87 |
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wandb_count: 5
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}
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89 |
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pusher_stats {
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total_bytes: 9375261
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93 |
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|
94 |
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2022-03-28 11:42:52,650 INFO MainThread:3678730 [wandb_run.py:_wait_for_finish():1929] got exit ret: file_counts {
|
95 |
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wandb_count: 5
|
96 |
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}
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97 |
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pusher_stats {
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}
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101 |
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|
102 |
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2022-03-28 11:42:52,752 INFO MainThread:3678730 [wandb_run.py:_wait_for_finish():1929] got exit ret: file_counts {
|
103 |
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wandb_count: 5
|
104 |
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}
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105 |
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pusher_stats {
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uploaded_bytes: 9375261
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total_bytes: 9375261
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}
|
109 |
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|
110 |
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2022-03-28 11:42:53,415 INFO MainThread:3678730 [wandb_run.py:_wait_for_finish():1929] got exit ret: file_counts {
|
111 |
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wandb_count: 5
|
112 |
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}
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113 |
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pusher_stats {
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114 |
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uploaded_bytes: 9375261
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total_bytes: 9375261
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}
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117 |
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|
118 |
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2022-03-28 11:42:53,581 INFO MainThread:3678730 [wandb_run.py:_wait_for_finish():1929] got exit ret: done: true
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119 |
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exit_result {
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120 |
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}
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121 |
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file_counts {
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wandb_count: 5
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pusher_stats {
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uploaded_bytes: 9375261
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total_bytes: 9375261
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local_info {
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}
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131 |
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2022-03-28 11:42:54,806 INFO MainThread:3678730 [wandb_run.py:_append_history():2144] rendering history
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2022-03-28 11:42:54,807 INFO MainThread:3678730 [wandb_run.py:_append_summary():2102] rendering summary
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133 |
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2022-03-28 11:42:54,808 INFO MainThread:3678730 [wandb_run.py:_append_files():2194] logging synced files
|
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prediction_loss_only:
|
577 |
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desc: null
|
578 |
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|
579 |
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prefix:
|
580 |
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desc: null
|
581 |
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|
582 |
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problem_type:
|
583 |
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|
584 |
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|
585 |
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processor_class:
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586 |
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|
587 |
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value: Wav2Vec2Processor
|
588 |
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pruned_heads:
|
589 |
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|
590 |
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value: {}
|
591 |
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push_to_hub:
|
592 |
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desc: null
|
593 |
+
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|
594 |
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push_to_hub_model_id:
|
595 |
+
desc: null
|
596 |
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value: None
|
597 |
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push_to_hub_organization:
|
598 |
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|
599 |
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value: None
|
600 |
+
push_to_hub_token:
|
601 |
+
desc: null
|
602 |
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value: <PUSH_TO_HUB_TOKEN>
|
603 |
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remove_invalid_values:
|
604 |
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605 |
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|
606 |
+
remove_unused_columns:
|
607 |
+
desc: null
|
608 |
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|
609 |
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repetition_penalty:
|
610 |
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|
611 |
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|
612 |
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report_to:
|
613 |
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|
614 |
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value: '[''tensorboard'', ''wandb'']'
|
615 |
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resume_from_checkpoint:
|
616 |
+
desc: null
|
617 |
+
value: None
|
618 |
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return_dict:
|
619 |
+
desc: null
|
620 |
+
value: true
|
621 |
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return_dict_in_generate:
|
622 |
+
desc: null
|
623 |
+
value: false
|
624 |
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run_name:
|
625 |
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desc: null
|
626 |
+
value: ./
|
627 |
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save_on_each_node:
|
628 |
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|
629 |
+
value: false
|
630 |
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save_steps:
|
631 |
+
desc: null
|
632 |
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value: 500
|
633 |
+
save_strategy:
|
634 |
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desc: null
|
635 |
+
value: steps
|
636 |
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save_total_limit:
|
637 |
+
desc: null
|
638 |
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value: 1
|
639 |
+
seed:
|
640 |
+
desc: null
|
641 |
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value: 42
|
642 |
+
sep_token_id:
|
643 |
+
desc: null
|
644 |
+
value: null
|
645 |
+
sharded_ddp:
|
646 |
+
desc: null
|
647 |
+
value: '[]'
|
648 |
+
skip_memory_metrics:
|
649 |
+
desc: null
|
650 |
+
value: true
|
651 |
+
sortish_sampler:
|
652 |
+
desc: null
|
653 |
+
value: false
|
654 |
+
task_specific_params:
|
655 |
+
desc: null
|
656 |
+
value: null
|
657 |
+
temperature:
|
658 |
+
desc: null
|
659 |
+
value: 1.0
|
660 |
+
tf32:
|
661 |
+
desc: null
|
662 |
+
value: None
|
663 |
+
tie_encoder_decoder:
|
664 |
+
desc: null
|
665 |
+
value: false
|
666 |
+
tie_word_embeddings:
|
667 |
+
desc: null
|
668 |
+
value: false
|
669 |
+
tokenizer_class:
|
670 |
+
desc: null
|
671 |
+
value: null
|
672 |
+
top_k:
|
673 |
+
desc: null
|
674 |
+
value: 50
|
675 |
+
top_p:
|
676 |
+
desc: null
|
677 |
+
value: 1.0
|
678 |
+
torch_dtype:
|
679 |
+
desc: null
|
680 |
+
value: torch.float32
|
681 |
+
torchscript:
|
682 |
+
desc: null
|
683 |
+
value: false
|
684 |
+
tpu_metrics_debug:
|
685 |
+
desc: null
|
686 |
+
value: false
|
687 |
+
tpu_num_cores:
|
688 |
+
desc: null
|
689 |
+
value: None
|
690 |
+
train_batch_size:
|
691 |
+
desc: null
|
692 |
+
value: 8
|
693 |
+
transformers_version:
|
694 |
+
desc: null
|
695 |
+
value: null
|
696 |
+
use_bfloat16:
|
697 |
+
desc: null
|
698 |
+
value: false
|
699 |
+
use_cache:
|
700 |
+
desc: null
|
701 |
+
value: false
|
702 |
+
use_legacy_prediction_loop:
|
703 |
+
desc: null
|
704 |
+
value: false
|
705 |
+
warmup_ratio:
|
706 |
+
desc: null
|
707 |
+
value: 0.0
|
708 |
+
warmup_steps:
|
709 |
+
desc: null
|
710 |
+
value: 500
|
711 |
+
weight_decay:
|
712 |
+
desc: null
|
713 |
+
value: 0.0
|
714 |
+
xpu_backend:
|
715 |
+
desc: null
|
716 |
+
value: None
|
wandb/run-20220328_165934-10ki2qcy/files/output.log
ADDED
@@ -0,0 +1,57 @@
|
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|
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|
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|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
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|
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|
1 |
+
|
2 |
+
0%| | 0/2230 [00:00<?, ?it/s][WARNING|modeling_bart.py:1051] 2022-03-28 16:59:37,626 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
|
3 |
+
[WARNING|modeling_utils.py:388] 2022-03-28 16:59:38,446 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
|
4 |
+
[WARNING|modeling_bart.py:1051] 2022-03-28 16:59:39,671 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
|
5 |
+
[WARNING|modeling_utils.py:388] 2022-03-28 16:59:40,344 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
|
6 |
+
[WARNING|modeling_bart.py:1051] 2022-03-28 16:59:41,567 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
|
7 |
+
[WARNING|modeling_utils.py:388] 2022-03-28 16:59:42,214 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
|
8 |
+
[WARNING|modeling_bart.py:1051] 2022-03-28 16:59:43,414 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
|
9 |
+
[WARNING|modeling_utils.py:388] 2022-03-28 16:59:44,083 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
|
10 |
+
[WARNING|modeling_bart.py:1051] 2022-03-28 16:59:45,285 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
|
11 |
+
[WARNING|modeling_utils.py:388] 2022-03-28 16:59:45,922 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
|
12 |
+
[WARNING|modeling_bart.py:1051] 2022-03-28 16:59:47,142 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
|
13 |
+
[WARNING|modeling_utils.py:388] 2022-03-28 16:59:47,775 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
|
14 |
+
[WARNING|modeling_bart.py:1051] 2022-03-28 16:59:48,976 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
|
15 |
+
[WARNING|modeling_utils.py:388] 2022-03-28 16:59:49,640 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
|
16 |
+
[WARNING|modeling_bart.py:1051] 2022-03-28 16:59:50,844 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
|
17 |
+
[WARNING|modeling_utils.py:388] 2022-03-28 16:59:51,509 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
|
18 |
+
[WARNING|modeling_bart.py:1051] 2022-03-28 16:59:52,710 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
|
19 |
+
[WARNING|modeling_utils.py:388] 2022-03-28 16:59:53,428 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
|
20 |
+
[WARNING|modeling_bart.py:1051] 2022-03-28 16:59:54,614 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
|
21 |
+
[WARNING|modeling_utils.py:388] 2022-03-28 16:59:55,274 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
|
22 |
+
[WARNING|modeling_bart.py:1051] 2022-03-28 16:59:56,459 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
|
23 |
+
[WARNING|modeling_utils.py:388] 2022-03-28 16:59:57,112 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
|
24 |
+
[WARNING|modeling_bart.py:1051] 2022-03-28 16:59:58,292 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
|
25 |
+
[WARNING|modeling_utils.py:388] 2022-03-28 16:59:58,921 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
|
26 |
+
[WARNING|modeling_bart.py:1051] 2022-03-28 17:00:00,093 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
|
27 |
+
[WARNING|modeling_utils.py:388] 2022-03-28 17:00:00,757 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
|
28 |
+
[WARNING|modeling_bart.py:1051] 2022-03-28 17:00:01,927 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
|
29 |
+
[WARNING|modeling_utils.py:388] 2022-03-28 17:00:02,553 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
|
30 |
+
[WARNING|modeling_bart.py:1051] 2022-03-28 17:00:03,722 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
|
31 |
+
[WARNING|modeling_utils.py:388] 2022-03-28 17:00:04,347 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
|
32 |
+
[WARNING|modeling_bart.py:1051] 2022-03-28 17:00:05,548 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
|
33 |
+
[WARNING|modeling_utils.py:388] 2022-03-28 17:00:06,195 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
|
34 |
+
0%| | 1/2230 [00:30<18:42:06, 30.20s/it]
|
35 |
+
0%| | 1/2230 [00:30<18:42:06, 30.20s/it][WARNING|modeling_bart.py:1051] 2022-03-28 17:00:07,403 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
|
36 |
+
[WARNING|modeling_utils.py:388] 2022-03-28 17:00:08,017 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
|
37 |
+
[WARNING|modeling_bart.py:1051] 2022-03-28 17:00:09,176 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
|
38 |
+
[WARNING|modeling_utils.py:388] 2022-03-28 17:00:09,804 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
|
39 |
+
[WARNING|modeling_bart.py:1051] 2022-03-28 17:00:10,962 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
|
40 |
+
[WARNING|modeling_utils.py:388] 2022-03-28 17:00:11,609 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
|
41 |
+
[WARNING|modeling_bart.py:1051] 2022-03-28 17:00:12,778 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
|
42 |
+
[WARNING|modeling_utils.py:388] 2022-03-28 17:00:13,401 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
|
43 |
+
[WARNING|modeling_bart.py:1051] 2022-03-28 17:00:14,595 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
|
44 |
+
[WARNING|modeling_utils.py:388] 2022-03-28 17:00:15,240 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
|
45 |
+
[WARNING|modeling_bart.py:1051] 2022-03-28 17:00:16,385 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
|
46 |
+
[WARNING|modeling_utils.py:388] 2022-03-28 17:00:17,008 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
|
47 |
+
[WARNING|modeling_bart.py:1051] 2022-03-28 17:00:18,180 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
|
48 |
+
[WARNING|modeling_utils.py:388] 2022-03-28 17:00:18,824 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
|
49 |
+
[WARNING|modeling_bart.py:1051] 2022-03-28 17:00:20,031 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
|
50 |
+
[WARNING|modeling_utils.py:388] 2022-03-28 17:00:20,676 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
|
51 |
+
[WARNING|modeling_bart.py:1051] 2022-03-28 17:00:21,831 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
|
52 |
+
[WARNING|modeling_utils.py:388] 2022-03-28 17:00:22,439 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
|
53 |
+
[WARNING|modeling_bart.py:1051] 2022-03-28 17:00:23,608 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
|
54 |
+
[WARNING|modeling_utils.py:388] 2022-03-28 17:00:24,253 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
|
55 |
+
[WARNING|modeling_bart.py:1051] 2022-03-28 17:00:25,417 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
|
56 |
+
[WARNING|modeling_utils.py:388] 2022-03-28 17:00:26,038 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
|
57 |
+
[WARNING|modeling_bart.py:1051] 2022-03-28 17:00:27,176 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
|
wandb/run-20220328_165934-10ki2qcy/files/requirements.txt
ADDED
@@ -0,0 +1,186 @@
|
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|
|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
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|
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|
|
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|
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|
|
|
|
|
|
|
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|
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|
|
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|
|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
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|
|
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|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
absl-py==1.0.0
|
2 |
+
aiohttp==3.8.1
|
3 |
+
aiosignal==1.2.0
|
4 |
+
anyio==3.5.0
|
5 |
+
appdirs==1.4.4
|
6 |
+
argon2-cffi-bindings==21.2.0
|
7 |
+
argon2-cffi==21.3.0
|
8 |
+
asttokens==2.0.5
|
9 |
+
async-timeout==4.0.2
|
10 |
+
attrs==21.4.0
|
11 |
+
audioread==2.1.9
|
12 |
+
babel==2.9.1
|
13 |
+
backcall==0.2.0
|
14 |
+
bitsandbytes-cuda113==0.26.0
|
15 |
+
black==22.1.0
|
16 |
+
bleach==4.1.0
|
17 |
+
cachetools==5.0.0
|
18 |
+
certifi==2021.10.8
|
19 |
+
cffi==1.15.0
|
20 |
+
charset-normalizer==2.0.11
|
21 |
+
chex==0.1.0
|
22 |
+
click==8.0.3
|
23 |
+
clldutils==3.10.1
|
24 |
+
colorlog==6.6.0
|
25 |
+
csvw==1.11.0
|
26 |
+
cycler==0.11.0
|
27 |
+
datasets==1.18.3
|
28 |
+
debugpy==1.5.1
|
29 |
+
decorator==5.1.1
|
30 |
+
defusedxml==0.7.1
|
31 |
+
dill==0.3.4
|
32 |
+
dlinfo==1.2.1
|
33 |
+
dm-tree==0.1.6
|
34 |
+
docker-pycreds==0.4.0
|
35 |
+
entrypoints==0.4
|
36 |
+
executing==0.8.2
|
37 |
+
filelock==3.4.2
|
38 |
+
flatbuffers==2.0
|
39 |
+
flax==0.4.0
|
40 |
+
fonttools==4.29.1
|
41 |
+
frozenlist==1.3.0
|
42 |
+
fsspec==2022.1.0
|
43 |
+
gitdb==4.0.9
|
44 |
+
gitpython==3.1.27
|
45 |
+
google-auth-oauthlib==0.4.6
|
46 |
+
google-auth==2.6.0
|
47 |
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2022-03-28 16:59:34,737 INFO MainThread:258712 [wandb_init.py:init():471] starting backend
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2022-03-28 17:00:29,591 INFO MainThread:258712 [wandb_run.py:_restore():1769] restore
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wandb/run-20220328_170142-by95ehra/files/config.yaml
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wandb/run-20220328_170142-by95ehra/files/requirements.txt
ADDED
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wandb/run-20220328_170142-by95ehra/files/wandb-metadata.json
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1 |
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{
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2 |
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11 |
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12 |
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"--local_rank=0",
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13 |
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14 |
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"--model_name_or_path=./",
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15 |
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16 |
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17 |
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18 |
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19 |
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20 |
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21 |
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23 |
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24 |
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25 |
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26 |
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28 |
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29 |
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30 |
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31 |
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32 |
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33 |
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34 |
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35 |
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36 |
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37 |
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38 |
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39 |
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40 |
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41 |
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42 |
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43 |
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44 |
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49 |
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|
50 |
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"git": {
|
51 |
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"remote": "https://huggingface.co/sanchit-gandhi/wav2vec2-2-bart-large-cnn",
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52 |
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|
53 |
+
},
|
54 |
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|
55 |
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|
56 |
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"host": "sanchit--v100",
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57 |
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"username": "sanchit_huggingface_co",
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58 |
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"executable": "/home/sanchit_huggingface_co/gcp/bin/python"
|
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}
|
wandb/run-20220328_170142-by95ehra/files/wandb-summary.json
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wandb/run-20220328_170142-by95ehra/logs/debug-internal.log
ADDED
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wandb/run-20220328_170142-by95ehra/logs/debug.log
ADDED
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|
1 |
+
2022-03-28 17:01:42,189 INFO MainThread:260352 [wandb_setup.py:_flush():75] Loading settings from /home/sanchit_huggingface_co/.config/wandb/settings
|
2 |
+
2022-03-28 17:01:42,189 INFO MainThread:260352 [wandb_setup.py:_flush():75] Loading settings from /home/sanchit_huggingface_co/wav2vec2-2-bart-large-cnn/wandb/settings
|
3 |
+
2022-03-28 17:01:42,189 INFO MainThread:260352 [wandb_setup.py:_flush():75] Loading settings from environment variables: {}
|
4 |
+
2022-03-28 17:01:42,189 INFO MainThread:260352 [wandb_setup.py:_flush():75] Inferring run settings from compute environment: {'program_relpath': 'run_speech_recognition_seq2seq.py', 'program': '/home/sanchit_huggingface_co/wav2vec2-2-bart-large-cnn/run_speech_recognition_seq2seq.py'}
|
5 |
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2022-03-28 17:01:42,189 INFO MainThread:260352 [wandb_init.py:_log_setup():386] Logging user logs to /home/sanchit_huggingface_co/wav2vec2-2-bart-large-cnn/wandb/run-20220328_170142-by95ehra/logs/debug.log
|
6 |
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2022-03-28 17:01:42,190 INFO MainThread:260352 [wandb_init.py:_log_setup():387] Logging internal logs to /home/sanchit_huggingface_co/wav2vec2-2-bart-large-cnn/wandb/run-20220328_170142-by95ehra/logs/debug-internal.log
|
7 |
+
2022-03-28 17:01:42,190 INFO MainThread:260352 [wandb_init.py:init():420] calling init triggers
|
8 |
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2022-03-28 17:01:42,190 INFO MainThread:260352 [wandb_init.py:init():425] wandb.init called with sweep_config: {}
|
9 |
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config: {}
|
10 |
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2022-03-28 17:01:42,190 INFO MainThread:260352 [wandb_init.py:init():471] starting backend
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11 |
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2022-03-28 17:01:42,190 INFO MainThread:260352 [backend.py:_multiprocessing_setup():99] multiprocessing start_methods=fork,spawn,forkserver, using: spawn
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12 |
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2022-03-28 17:01:42,252 INFO MainThread:260352 [backend.py:ensure_launched():219] starting backend process...
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2022-03-28 17:01:43,113 INFO MainThread:260352 [wandb_init.py:init():596] communicating run to backend with 30 second timeout
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2022-03-28 17:01:43,433 INFO MainThread:260352 [wandb_run.py:_config_callback():966] config_cb None None {'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': 'torch.float32', 'use_bfloat16': False, 'pruned_heads': {}, 'tie_word_embeddings': False, 'is_encoder_decoder': True, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'max_length': 40, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 5, 'num_beam_groups': 1, 'diversity_penalty': 0.0, 'temperature': 1.0, 'top_k': 50, 'top_p': 1.0, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'no_repeat_ngram_size': 0, 'encoder_no_repeat_ngram_size': 0, 'bad_words_ids': None, 'num_return_sequences': 1, 'chunk_size_feed_forward': 0, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 'remove_invalid_values': False, 'architectures': ['SpeechEncoderDecoderModel'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': None, 'pad_token_id': 1, 'eos_token_id': 2, 'sep_token_id': None, 'decoder_start_token_id': 0, 'task_specific_params': None, 'problem_type': None, '_name_or_path': './', 'transformers_version': None, 'decoder': {'vocab_size': 50264, 'max_position_embeddings': 1024, 'd_model': 1024, 'encoder_ffn_dim': 4096, 'encoder_layers': 12, 'encoder_attention_heads': 16, 'decoder_ffn_dim': 4096, 'decoder_layers': 12, 'decoder_attention_heads': 16, 'dropout': 0.1, 'attention_dropout': 0.0, 'activation_dropout': 0.0, 'activation_function': 'gelu', 'init_std': 0.02, 'encoder_layerdrop': 0.0, 'decoder_layerdrop': 0.0, 'classifier_dropout': 0.0, 'use_cache': True, 'num_hidden_layers': 12, 'scale_embedding': False, 'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 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'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 1, 'num_beam_groups': 1, 'diversity_penalty': 0.0, 'temperature': 1.0, 'top_k': 50, 'top_p': 1.0, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'no_repeat_ngram_size': 0, 'encoder_no_repeat_ngram_size': 0, 'bad_words_ids': None, 'num_return_sequences': 1, 'chunk_size_feed_forward': 0, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 'remove_invalid_values': False, 'architectures': ['Wav2Vec2ForPreTraining'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': 1, 'pad_token_id': 0, 'eos_token_id': 2, 'sep_token_id': None, 'decoder_start_token_id': None, 'task_specific_params': None, 'problem_type': None, '_name_or_path': 'facebook/wav2vec2-large-lv60', 'transformers_version': '4.17.0.dev0', 'feat_extract_dropout': 0.0, 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'num_codevector_groups': 2, 'contrastive_logits_temperature': 0.1, 'feat_quantizer_dropout': 0.0, 'num_negatives': 100, 'codevector_dim': 768, 'proj_codevector_dim': 768, 'diversity_loss_weight': 0.1, 'ctc_loss_reduction': 'sum', 'ctc_zero_infinity': False, 'add_adapter': True, 'adapter_kernel_size': 3, 'adapter_stride': 2, 'num_adapter_layers': 3, 'output_hidden_size': 1024, 'classifier_proj_size': 256, 'tdnn_dim': [512, 512, 512, 512, 1500], 'tdnn_kernel': [5, 3, 3, 1, 1], 'tdnn_dilation': [1, 2, 3, 1, 1], 'xvector_output_dim': 512, 'model_type': 'wav2vec2'}, 'model_type': 'speech-encoder-decoder', 'processor_class': 'Wav2Vec2Processor', 'use_cache': False, 'output_dir': './', 'overwrite_output_dir': True, 'do_train': True, 'do_eval': True, 'do_predict': False, 'evaluation_strategy': 'steps', 'prediction_loss_only': False, 'per_device_train_batch_size': 8, 'per_device_eval_batch_size': 8, 'per_gpu_train_batch_size': 'None', 'per_gpu_eval_batch_size': 'None', 'gradient_accumulation_steps': 16, 'eval_accumulation_steps': 'None', 'learning_rate': 0.0003, 'weight_decay': 0.0, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 1.0, 'num_train_epochs': 10.0, 'max_steps': -1, 'lr_scheduler_type': 'linear', 'warmup_ratio': 0.0, 'warmup_steps': 500, 'log_level': -1, 'log_level_replica': -1, 'log_on_each_node': True, 'logging_dir': './runs/Mar28_17-01-12_sanchit--v100', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 1, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 500, 'save_total_limit': 1, 'save_on_each_node': False, 'no_cuda': False, 'seed': 42, 'bf16': False, 'fp16': True, 'fp16_opt_level': 'O1', 'half_precision_backend': 'amp', 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': 'None', 'local_rank': 0, 'xpu_backend': 'None', 'tpu_num_cores': 'None', 'tpu_metrics_debug': False, 'debug': '[]', 'dataloader_drop_last': False, 'eval_steps': 500, 'dataloader_num_workers': 0, 'past_index': -1, 'run_name': './', 'disable_tqdm': False, 'remove_unused_columns': True, 'label_names': 'None', 'load_best_model_at_end': False, 'metric_for_best_model': 'None', 'greater_is_better': 'None', 'ignore_data_skip': False, 'sharded_ddp': '[]', 'deepspeed': 'None', 'label_smoothing_factor': 0.0, 'optim': 'adamw_hf', 'adafactor': False, 'group_by_length': True, 'length_column_name': 'input_length', 'report_to': "['tensorboard', 'wandb']", 'ddp_find_unused_parameters': 'None', 'ddp_bucket_cap_mb': 'None', 'dataloader_pin_memory': True, 'skip_memory_metrics': True, 'use_legacy_prediction_loop': False, 'push_to_hub': True, 'resume_from_checkpoint': 'None', 'hub_model_id': 'None', 'hub_strategy': 'every_save', 'hub_token': '<HUB_TOKEN>', 'gradient_checkpointing': True, 'fp16_backend': 'auto', 'push_to_hub_model_id': 'None', 'push_to_hub_organization': 'None', 'push_to_hub_token': '<PUSH_TO_HUB_TOKEN>', '_n_gpu': 1, 'mp_parameters': '', 'sortish_sampler': False, 'predict_with_generate': True, 'generation_max_length': 40, 'generation_num_beams': 1, 'train_batch_size': 8, 'eval_batch_size': 8}
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2022-03-28 17:01:43,436 INFO MainThread:260352 [wandb_watch.py:watch():43] Watching
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wandb/run-20220328_170142-by95ehra/run-by95ehra.wandb
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