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WANDB_PROJECT=auto-speech-recognition-french |
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python run_speech_recognition_ctc.py \ |
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--dataset_name="mozilla-foundation/common_voice_8_0" \ |
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--model_name_or_path="./checkpoint-18000" \ |
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--dataset_config_name="fr" \ |
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--tokenizer_name_or_path="./" \ |
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--output_dir="./" \ |
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--overwrite_output_dir \ |
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--num_train_epochs="4" \ |
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--per_device_train_batch_size="64" \ |
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--per_device_eval_batch_size="64" \ |
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--gradient_accumulation_steps="1" \ |
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--learning_rate="1e-4" \ |
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--warmup_steps="2700" \ |
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--length_column_name="input_length" \ |
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--evaluation_strategy="steps" \ |
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--text_column_name="sentence" \ |
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--save_steps="500" \ |
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--eval_steps="500" \ |
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--logging_steps="100" \ |
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--layerdrop="0.0" \ |
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--activation_dropout="0.05" \ |
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--save_total_limit="2" \ |
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--freeze_feature_encoder \ |
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--feat_proj_dropout="0.0" \ |
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--mask_time_prob="0.6" \ |
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--mask_time_length="10" \ |
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--mask_feature_prob="0.25" \ |
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--mask_feature_length="10" \ |
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--gradient_checkpointing \ |
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--report_to="wandb" \ |
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--run_name="xls-r-300m-fr" \ |
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--max_eval_samples="4500" \ |
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--max_duration_in_seconds="10" \ |
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--use_auth_token \ |
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--fp16 \ |
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--group_by_length \ |
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--preprocessing_num_workers="64" \ |
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--do_train --do_eval \ |
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--load_best_model_at_end \ |
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--push_to_hub |
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