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python run_distil_audio_multilabel_classification.py \ |
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--model_name_or_path MIT/ast-finetuned-audioset-10-10-0.4593 \ |
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--dataset_name bookbot/audioset \ |
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--output_dir distil-ast-audioset-2 \ |
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--overwrite_output_dir \ |
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--remove_unused_columns False \ |
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--freeze_feature_encoder False \ |
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--do_train --do_eval \ |
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--fp16 \ |
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--learning_rate 3e-5 \ |
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--alpha 0.5 \ |
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--temperature 2.0 \ |
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--layer_prefix audio_spectrogram_transformer.encoder.layer \ |
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--delimiter . \ |
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--teacher_blocks 0 2 4 6 8 10 \ |
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--attention_mask False \ |
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--warmup_ratio 0.1 \ |
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--num_train_epochs 10 \ |
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--per_device_train_batch_size 32 \ |
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--gradient_accumulation_steps 4 \ |
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--per_device_eval_batch_size 32 \ |
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--dataloader_num_workers 4 \ |
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--logging_strategy epoch \ |
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--evaluation_strategy epoch \ |
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--save_strategy epoch \ |
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--save_total_limit 3 \ |
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--seed 0 \ |
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--report_to tensorboard \ |
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--push_to_hub \ |
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--hub_model_id bookbot/distil-ast-audioset-2 \ |
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--hub_private_repo True \ |
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--use_auth_token True |
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