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python run_speech_recognition_ctc.py \ |
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--dataset_name="/workspace/data/hy/noizy_student_1/" \ |
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--train_split_name train \ |
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--model_name_or_path="facebook/wav2vec2-xls-r-1b" \ |
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--output_dir="./" \ |
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--overwrite_output_dir \ |
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--max_steps 1200 \ |
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--per_device_train_batch_size="16" \ |
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--per_device_eval_batch_size="64" \ |
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--gradient_accumulation_steps="8" \ |
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--dataloader_num_workers 8 \ |
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--learning_rate="8e-5" \ |
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--lr_scheduler_type cosine \ |
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--adam_beta2 0.98 \ |
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--warmup_ratio 0.1 \ |
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--evaluation_strategy="steps" \ |
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--text_column_name="sentence" \ |
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--chars_to_ignore \, \? \. \! \- \; \: \" \“ \% \‘ \” \� \' « » \( \) ։ ՝ ՞ ՛ ՚ \ |
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--save_steps="100" \ |
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--eval_steps="100" \ |
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--logging_steps="100" \ |
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--save_total_limit="2" \ |
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--freeze_feature_encoder \ |
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--layerdrop="0.1" \ |
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--activation_dropout="0.1" \ |
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--feat_proj_dropout="0.0" \ |
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--mask_time_prob="0.75" \ |
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--mask_time_length="10" \ |
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--mask_feature_prob="0.25" \ |
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--mask_feature_length="64" \ |
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--gradient_checkpointing \ |
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--use_auth_token \ |
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--fp16 \ |
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--group_by_length \ |
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--do_train --do_eval \ |
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--load_best_model_at_end \ |
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--report_to all \ |
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--run_name="xlsr-hy-ns-1b-1" \ |
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--wandb_project="xlsr-hy" \ |
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--seed 842 \ |
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--bnb --tristage_sched |