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python src/run_speech_recognition_seq2seq_streaming.py \ |
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--model_name_or_path="openai/whisper-small" \ |
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--dataset_name="mozilla-foundation/common_voice_11_0" \ |
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--dataset_config_name="be" \ |
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--language="be" \ |
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--train_split_name="train" \ |
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--eval_split_name="validation" \ |
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--model_index_name="Whisper Small Belarusian" \ |
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\ |
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--max_steps="12000" \ |
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--output_dir="./" \ |
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--per_device_train_batch_size="64" \ |
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--per_device_eval_batch_size="64" \ |
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--logging_steps="50" \ |
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--logging_first_step \ |
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--learning_rate="1e-4" \ |
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--warmup_steps="500" \ |
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--evaluation_strategy="steps" \ |
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--eval_steps="1000" \ |
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--save_strategy="steps" \ |
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--save_steps="1000" \ |
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--gradient_checkpointing \ |
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--fp16 \ |
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\ |
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--shuffle_buffer_size="500" \ |
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--generation_max_length="225" \ |
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--max_duration_in_seconds="30" \ |
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--text_column_name="sentence" \ |
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--freeze_feature_encoder="False" \ |
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--report_to="tensorboard" \ |
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--metric_for_best_model="wer" \ |
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--greater_is_better="False" \ |
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--load_best_model_at_end \ |
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\ |
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--do_train \ |
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--do_eval \ |
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--ignore_data_skip \ |
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--predict_with_generate \ |
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--do_normalize_eval \ |
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--streaming_train="True" \ |
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--streaming_eval="False" \ |
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--use_auth_token \ |
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--push_to_hub \ |
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--hub_model_id="ales/whisper-small-belarusian" |
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