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--- |
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license: apache-2.0 |
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tags: |
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- automatic-speech-recognition |
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- gary109/AI_Light_Dance |
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- generated_from_trainer |
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model-index: |
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- name: ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53-v1 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53-v1 |
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This model is a fine-tuned version of [gary109/ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53-v1](https://huggingface.co/gary109/ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53-v1) on the GARY109/AI_LIGHT_DANCE - ONSET-SINGING3 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5459 |
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- Wer: 0.2463 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-06 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 1000 |
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- num_epochs: 50.0 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:-----:|:------:|:---------------:|:------:| |
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| 0.3909 | 1.0 | 2309 | 0.5615 | 0.2459 | |
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| 0.4094 | 2.0 | 4618 | 0.5654 | 0.2439 | |
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| 0.326 | 3.0 | 6927 | 0.5568 | 0.2470 | |
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| 0.4577 | 4.0 | 9236 | 0.5795 | 0.2474 | |
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| 0.3628 | 5.0 | 11545 | 0.5459 | 0.2463 | |
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| 0.3135 | 6.0 | 13854 | 0.5582 | 0.2473 | |
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| 0.5058 | 7.0 | 16163 | 0.5677 | 0.2439 | |
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| 0.3188 | 8.0 | 18472 | 0.5646 | 0.2445 | |
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| 0.3589 | 9.0 | 20781 | 0.5626 | 0.2479 | |
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| 0.4021 | 10.0 | 23090 | 0.5722 | 0.2452 | |
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| 0.4362 | 11.0 | 25399 | 0.5659 | 0.2431 | |
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| 0.3215 | 12.0 | 27708 | 0.5658 | 0.2445 | |
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| 0.3646 | 13.0 | 30017 | 0.5785 | 0.2459 | |
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| 0.3757 | 14.0 | 32326 | 0.5757 | 0.2418 | |
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| 0.3311 | 15.0 | 34635 | 0.5672 | 0.2455 | |
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| 0.3709 | 16.0 | 36944 | 0.5669 | 0.2434 | |
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| 0.3342 | 17.0 | 39253 | 0.5610 | 0.2455 | |
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| 0.3236 | 18.0 | 41562 | 0.5652 | 0.2436 | |
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| 0.3566 | 19.0 | 43871 | 0.5773 | 0.2407 | |
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| 0.2912 | 20.0 | 46180 | 0.5764 | 0.2453 | |
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| 0.3652 | 21.0 | 48489 | 0.5732 | 0.2423 | |
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| 0.3785 | 22.0 | 50798 | 0.5696 | 0.2423 | |
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| 0.3968 | 23.0 | 53107 | 0.5690 | 0.2429 | |
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| 0.2968 | 24.0 | 55416 | 0.5800 | 0.2427 | |
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| 0.428 | 25.0 | 57725 | 0.5704 | 0.2441 | |
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| 0.383 | 26.0 | 60034 | 0.5739 | 0.2450 | |
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| 0.3694 | 27.0 | 62343 | 0.5791 | 0.2437 | |
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| 0.3449 | 28.0 | 64652 | 0.5780 | 0.2451 | |
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| 0.3008 | 29.0 | 66961 | 0.5749 | 0.2418 | |
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| 0.3939 | 30.0 | 69270 | 0.5737 | 0.2424 | |
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| 0.3451 | 31.0 | 71579 | 0.5805 | 0.2402 | |
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| 0.3513 | 32.0 | 73888 | 0.5670 | 0.2379 | |
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| 0.3866 | 33.0 | 76197 | 0.5706 | 0.2389 | |
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| 0.3831 | 34.0 | 78506 | 0.5635 | 0.2401 | |
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| 0.3641 | 35.0 | 80815 | 0.5708 | 0.2405 | |
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| 0.3345 | 36.0 | 83124 | 0.5699 | 0.2405 | |
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| 0.2902 | 37.0 | 85433 | 0.5711 | 0.2373 | |
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| 0.2868 | 38.0 | 87742 | 0.5713 | 0.2389 | |
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| 0.3232 | 39.0 | 90051 | 0.5702 | 0.2392 | |
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| 0.3277 | 40.0 | 92360 | 0.5658 | 0.2393 | |
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| 0.3234 | 41.0 | 94669 | 0.5732 | 0.2412 | |
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| 0.3625 | 42.0 | 96978 | 0.5740 | 0.2396 | |
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| 0.4075 | 43.0 | 99287 | 0.5733 | 0.2389 | |
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| 0.3473 | 44.0 | 101596 | 0.5735 | 0.2394 | |
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| 0.3157 | 45.0 | 103905 | 0.5721 | 0.2391 | |
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| 0.3866 | 46.0 | 106214 | 0.5715 | 0.2381 | |
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| 0.4062 | 47.0 | 108523 | 0.5711 | 0.2380 | |
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| 0.3871 | 48.0 | 110832 | 0.5716 | 0.2380 | |
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| 0.2924 | 49.0 | 113141 | 0.5723 | 0.2374 | |
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| 0.3655 | 50.0 | 115450 | 0.5709 | 0.2379 | |
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### Framework versions |
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- Transformers 4.21.0.dev0 |
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- Pytorch 1.9.1+cu102 |
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- Datasets 2.3.3.dev0 |
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- Tokenizers 0.12.1 |
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