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date |
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python ./run_speech_recognition_seq2seq_streaming.py \ |
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--model_name_or_path "openai/whisper-small" \ |
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--model_revision "main" \ |
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--do_train True \ |
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--do_eval True \ |
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--use_auth_token False \ |
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--freeze_encoder False \ |
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--model_index_name "whisper-sm-el-xs" \ |
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--dataset_name "mozilla-foundation/common_voice_11_0" \ |
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--dataset_config_name "el" \ |
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--audio_column_name "audio" \ |
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--text_column_name "sentence" \ |
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--max_duration_in_seconds 30 \ |
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--train_split_name "train+validation" \ |
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--eval_split_name "test" \ |
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--do_lower_case False \ |
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--do_remove_punctuation False \ |
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--do_normalize_eval True \ |
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--language "greek" \ |
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--task "transcribe" \ |
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--shuffle_buffer_size 500 \ |
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--output_dir "./data/finetuningRuns/whisper-sm-el-xs" \ |
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--per_device_train_batch_size 16 \ |
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--gradient_accumulation_steps 4 \ |
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--learning_rate 1e-5 \ |
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--warmup_steps 500 \ |
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--max_steps 5000 \ |
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--gradient_checkpointing True \ |
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--fp16 True \ |
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--evaluation_strategy "steps" \ |
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--per_device_eval_batch_size 8 \ |
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--predict_with_generate True \ |
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--generation_max_length 225 \ |
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--save_steps 1000 \ |
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--eval_steps 1000 \ |
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--logging_steps 25 \ |
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--report_to "tensorboard" \ |
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--load_best_model_at_end True \ |
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--metric_for_best_model "wer" \ |
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--greater_is_better False \ |
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--push_to_hub False \ |
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--overwrite_output_dir True |
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date |