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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: 0.5352 |
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- Wer: 0.2490 |
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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: 2e-06 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 64 |
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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: 50 |
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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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| 0.3818 | 1.0 | 72 | 0.5569 | 0.2535 | |
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| 0.3686 | 2.0 | 144 | 0.5535 | 0.2501 | |
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| 0.3562 | 3.0 | 216 | 0.5526 | 0.2501 | |
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| 0.3506 | 4.0 | 288 | 0.5460 | 0.2520 | |
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| 0.369 | 5.0 | 360 | 0.5390 | 0.2484 | |
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| 0.3683 | 6.0 | 432 | 0.5426 | 0.2474 | |
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| 0.3541 | 7.0 | 504 | 0.5452 | 0.2495 | |
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| 0.369 | 8.0 | 576 | 0.5468 | 0.2490 | |
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| 0.358 | 9.0 | 648 | 0.5471 | 0.2453 | |
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| 0.3765 | 10.0 | 720 | 0.5376 | 0.2459 | |
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| 0.3654 | 11.0 | 792 | 0.5407 | 0.2486 | |
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| 0.373 | 12.0 | 864 | 0.5390 | 0.2475 | |
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| 0.3606 | 13.0 | 936 | 0.5441 | 0.2472 | |
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| 0.369 | 14.0 | 1008 | 0.5388 | 0.2490 | |
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| 0.3762 | 15.0 | 1080 | 0.5389 | 0.2497 | |
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| 0.3821 | 16.0 | 1152 | 0.5352 | 0.2490 | |
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| 0.3605 | 17.0 | 1224 | 0.5434 | 0.2492 | |
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| 0.3703 | 18.0 | 1296 | 0.5415 | 0.2500 | |
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| 0.3667 | 19.0 | 1368 | 0.5499 | 0.2487 | |
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| 0.3703 | 20.0 | 1440 | 0.5482 | 0.2494 | |
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| 0.369 | 21.0 | 1512 | 0.5418 | 0.2504 | |
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| 0.3708 | 22.0 | 1584 | 0.5437 | 0.2479 | |
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| 0.3609 | 23.0 | 1656 | 0.5453 | 0.2480 | |
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| 0.3534 | 24.0 | 1728 | 0.5393 | 0.2484 | |
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| 0.3656 | 25.0 | 1800 | 0.5363 | 0.2477 | |
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| 0.3713 | 26.0 | 1872 | 0.5406 | 0.2461 | |
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| 0.3572 | 27.0 | 1944 | 0.5369 | 0.2465 | |
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| 0.3665 | 28.0 | 2016 | 0.5375 | 0.2466 | |
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| 0.3748 | 29.0 | 2088 | 0.5367 | 0.2480 | |
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| 0.3769 | 30.0 | 2160 | 0.5359 | 0.2459 | |
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| 0.3634 | 31.0 | 2232 | 0.5417 | 0.2471 | |
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| 0.3627 | 32.0 | 2304 | 0.5398 | 0.2473 | |
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| 0.3497 | 33.0 | 2376 | 0.5428 | 0.2483 | |
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| 0.3479 | 34.0 | 2448 | 0.5390 | 0.2481 | |
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| 0.363 | 35.0 | 2520 | 0.5388 | 0.2478 | |
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| 0.3622 | 36.0 | 2592 | 0.5396 | 0.2490 | |
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| 0.3685 | 37.0 | 2664 | 0.5408 | 0.2479 | |
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| 0.356 | 38.0 | 2736 | 0.5385 | 0.2459 | |
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| 0.3529 | 39.0 | 2808 | 0.5389 | 0.2467 | |
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| 0.3702 | 40.0 | 2880 | 0.5392 | 0.2482 | |
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| 0.3645 | 41.0 | 2952 | 0.5408 | 0.2467 | |
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| 0.3489 | 42.0 | 3024 | 0.5406 | 0.2474 | |
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| 0.3556 | 43.0 | 3096 | 0.5402 | 0.2472 | |
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| 0.356 | 44.0 | 3168 | 0.5386 | 0.2468 | |
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| 0.3632 | 45.0 | 3240 | 0.5402 | 0.2463 | |
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| 0.3693 | 46.0 | 3312 | 0.5401 | 0.2472 | |
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| 0.3593 | 47.0 | 3384 | 0.5390 | 0.2463 | |
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| 0.3515 | 48.0 | 3456 | 0.5399 | 0.2468 | |
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| 0.3485 | 49.0 | 3528 | 0.5392 | 0.2461 | |
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| 0.3591 | 50.0 | 3600 | 0.5403 | 0.2461 | |
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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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