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ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53-v1

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
wav2vec2
gary109/AI_Light_Dance
Generated from Trainer
Inference Endpoints
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update model card README.md

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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
@@ -14,10 +12,10 @@ 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: 0.5391
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- - Wer: 0.2540
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  ## Model description
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@@ -36,72 +34,72 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 4e-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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- - gradient_accumulation_steps: 2
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- - total_train_batch_size: 4
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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: 500
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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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- | 0.4806 | 1.0 | 1154 | 0.5674 | 0.2700 |
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- | 0.4109 | 2.0 | 2308 | 0.5667 | 0.2740 |
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- | 0.4183 | 3.0 | 3462 | 0.5651 | 0.2742 |
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- | 0.4618 | 4.0 | 4616 | 0.5653 | 0.2675 |
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- | 0.4179 | 5.0 | 5770 | 0.5541 | 0.2697 |
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- | 0.4376 | 6.0 | 6924 | 0.5799 | 0.2691 |
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- | 0.4341 | 7.0 | 8078 | 0.5593 | 0.2649 |
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- | 0.4234 | 8.0 | 9232 | 0.5489 | 0.2652 |
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- | 0.3965 | 9.0 | 10386 | 0.5606 | 0.2601 |
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- | 0.4383 | 10.0 | 11540 | 0.5630 | 0.2607 |
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- | 0.4245 | 11.0 | 12694 | 0.5647 | 0.2561 |
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- | 0.3946 | 12.0 | 13848 | 0.5526 | 0.2635 |
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- | 0.3722 | 13.0 | 15002 | 0.5786 | 0.2565 |
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- | 0.3558 | 14.0 | 16156 | 0.5589 | 0.2638 |
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- | 0.392 | 15.0 | 17310 | 0.5581 | 0.2593 |
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- | 0.401 | 16.0 | 18464 | 0.5528 | 0.2566 |
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- | 0.4391 | 17.0 | 19618 | 0.5584 | 0.2554 |
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- | 0.4082 | 18.0 | 20772 | 0.5610 | 0.2528 |
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- | 0.4316 | 19.0 | 21926 | 0.5408 | 0.2507 |
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- | 0.3136 | 20.0 | 23080 | 0.5592 | 0.2525 |
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- | 0.4249 | 21.0 | 24234 | 0.5684 | 0.2560 |
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- | 0.4993 | 22.0 | 25388 | 0.5521 | 0.2529 |
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- | 0.4006 | 23.0 | 26542 | 0.5391 | 0.2540 |
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- | 0.3415 | 24.0 | 27696 | 0.5622 | 0.2503 |
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- | 0.3938 | 25.0 | 28850 | 0.5533 | 0.2541 |
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- | 0.4509 | 26.0 | 30004 | 0.5567 | 0.2486 |
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- | 0.3583 | 27.0 | 31158 | 0.5641 | 0.2523 |
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- | 0.4084 | 28.0 | 32312 | 0.5687 | 0.2521 |
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- | 0.3916 | 29.0 | 33466 | 0.5656 | 0.2495 |
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- | 0.4298 | 30.0 | 34620 | 0.5718 | 0.2499 |
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- | 0.3544 | 31.0 | 35774 | 0.5595 | 0.2445 |
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- | 0.3748 | 32.0 | 36928 | 0.5464 | 0.2461 |
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- | 0.3839 | 33.0 | 38082 | 0.5652 | 0.2475 |
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- | 0.3691 | 34.0 | 39236 | 0.5551 | 0.2428 |
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- | 0.3076 | 35.0 | 40390 | 0.5554 | 0.2463 |
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- | 0.3886 | 36.0 | 41544 | 0.5588 | 0.2461 |
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- | 0.41 | 37.0 | 42698 | 0.5601 | 0.2507 |
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- | 0.3595 | 38.0 | 43852 | 0.5645 | 0.2425 |
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- | 0.4174 | 39.0 | 45006 | 0.5561 | 0.2422 |
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- | 0.3801 | 40.0 | 46160 | 0.5554 | 0.2427 |
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- | 0.3513 | 41.0 | 47314 | 0.5599 | 0.2420 |
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- | 0.3739 | 42.0 | 48468 | 0.5669 | 0.2418 |
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- | 0.3702 | 43.0 | 49622 | 0.5646 | 0.2441 |
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- | 0.3444 | 44.0 | 50776 | 0.5658 | 0.2413 |
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- | 0.3152 | 45.0 | 51930 | 0.5559 | 0.2402 |
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- | 0.4 | 46.0 | 53084 | 0.5599 | 0.2429 |
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- | 0.4154 | 47.0 | 54238 | 0.5568 | 0.2430 |
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- | 0.3158 | 48.0 | 55392 | 0.5608 | 0.2428 |
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- | 0.3577 | 49.0 | 56546 | 0.5593 | 0.2412 |
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- | 0.3456 | 50.0 | 57700 | 0.5583 | 0.2403 |
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  ### Framework versions
 
1
  ---
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  license: apache-2.0
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  tags:
 
 
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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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  # 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 None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5403
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+ - Wer: 0.2461
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  ## Model description
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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