---
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-v2
  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-v2

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: 0.5105
- Wer: 0.2552

## 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: 5e-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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.6154        | 1.0   | 72   | 0.5266          | 0.2551 |
| 0.5958        | 2.0   | 144  | 0.5272          | 0.2586 |
| 0.5825        | 3.0   | 216  | 0.5249          | 0.2587 |
| 0.5717        | 4.0   | 288  | 0.5236          | 0.2571 |
| 0.5831        | 5.0   | 360  | 0.5203          | 0.2590 |
| 0.5652        | 6.0   | 432  | 0.5127          | 0.2575 |
| 0.5665        | 7.0   | 504  | 0.5229          | 0.2587 |
| 0.5625        | 8.0   | 576  | 0.5248          | 0.2547 |
| 0.5661        | 9.0   | 648  | 0.5214          | 0.2558 |
| 0.5583        | 10.0  | 720  | 0.5197          | 0.2582 |
| 0.5605        | 11.0  | 792  | 0.5213          | 0.2611 |
| 0.5784        | 12.0  | 864  | 0.5328          | 0.2583 |
| 0.5636        | 13.0  | 936  | 0.5246          | 0.2586 |
| 0.5581        | 14.0  | 1008 | 0.5230          | 0.2546 |
| 0.567         | 15.0  | 1080 | 0.5205          | 0.2572 |
| 0.5586        | 16.0  | 1152 | 0.5259          | 0.2556 |
| 0.5358        | 17.0  | 1224 | 0.5334          | 0.2605 |
| 0.5526        | 18.0  | 1296 | 0.5181          | 0.2556 |
| 0.5483        | 19.0  | 1368 | 0.5131          | 0.2562 |
| 0.5487        | 20.0  | 1440 | 0.5179          | 0.2561 |
| 0.5489        | 21.0  | 1512 | 0.5259          | 0.2596 |
| 0.5582        | 22.0  | 1584 | 0.5199          | 0.2551 |
| 0.5351        | 23.0  | 1656 | 0.5283          | 0.2535 |
| 0.5572        | 24.0  | 1728 | 0.5120          | 0.2533 |
| 0.5467        | 25.0  | 1800 | 0.5176          | 0.2578 |
| 0.5424        | 26.0  | 1872 | 0.5105          | 0.2552 |
| 0.5344        | 27.0  | 1944 | 0.5212          | 0.2541 |
| 0.5444        | 28.0  | 2016 | 0.5155          | 0.2556 |
| 0.5276        | 29.0  | 2088 | 0.5231          | 0.2551 |
| 0.5501        | 30.0  | 2160 | 0.5224          | 0.2557 |
| 0.5335        | 31.0  | 2232 | 0.5279          | 0.2550 |
| 0.5315        | 32.0  | 2304 | 0.5151          | 0.2545 |
| 0.5344        | 33.0  | 2376 | 0.5204          | 0.2528 |
| 0.5249        | 34.0  | 2448 | 0.5153          | 0.2543 |
| 0.5478        | 35.0  | 2520 | 0.5154          | 0.2544 |
| 0.5346        | 36.0  | 2592 | 0.5123          | 0.2534 |
| 0.5436        | 37.0  | 2664 | 0.5210          | 0.2565 |
| 0.5299        | 38.0  | 2736 | 0.5182          | 0.2537 |
| 0.5248        | 39.0  | 2808 | 0.5240          | 0.2529 |
| 0.5295        | 40.0  | 2880 | 0.5250          | 0.2563 |
| 0.5343        | 41.0  | 2952 | 0.5179          | 0.2536 |
| 0.5255        | 42.0  | 3024 | 0.5213          | 0.2560 |
| 0.525         | 43.0  | 3096 | 0.5221          | 0.2553 |
| 0.5345        | 44.0  | 3168 | 0.5230          | 0.2531 |
| 0.5485        | 45.0  | 3240 | 0.5212          | 0.2537 |
| 0.5471        | 46.0  | 3312 | 0.5215          | 0.2532 |
| 0.5375        | 47.0  | 3384 | 0.5216          | 0.2544 |
| 0.5229        | 48.0  | 3456 | 0.5209          | 0.2551 |
| 0.5218        | 49.0  | 3528 | 0.5216          | 0.2536 |
| 0.5292        | 50.0  | 3600 | 0.5208          | 0.2545 |


### Framework versions

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