---
license: apache-2.0
tags:
- automatic-speech-recognition
- gary109/AI_Light_Dance
- generated_from_trainer
model-index:
- name: ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53-v1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

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

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.
It achieves the following results on the evaluation set:
- Loss: 0.5352
- Wer: 0.2490

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 50.0
- mixed_precision_training: Native AMP

### Training results

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


### Framework versions

- Transformers 4.21.0.dev0
- Pytorch 1.9.1+cu102
- Datasets 2.3.3.dev0
- Tokenizers 0.12.1