---
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: 0.6009
- Wer: 0.3386

## 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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 20.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.6364        | 1.0   | 578   | 0.6806          | 0.4167 |
| 0.6466        | 2.0   | 1156  | 0.7114          | 0.4238 |
| 0.6371        | 3.0   | 1734  | 0.7033          | 0.4318 |
| 0.7171        | 4.0   | 2312  | 0.6488          | 0.3970 |
| 0.6228        | 5.0   | 2890  | 0.6369          | 0.3858 |
| 0.6004        | 6.0   | 3468  | 0.6313          | 0.4088 |
| 0.6074        | 7.0   | 4046  | 0.6295          | 0.3794 |
| 0.6075        | 8.0   | 4624  | 0.6280          | 0.3692 |
| 0.5936        | 9.0   | 5202  | 0.6201          | 0.3648 |
| 0.5737        | 10.0  | 5780  | 0.6289          | 0.3512 |
| 0.5711        | 11.0  | 6358  | 0.6288          | 0.3545 |
| 0.5617        | 12.0  | 6936  | 0.6308          | 0.3662 |
| 0.5796        | 13.0  | 7514  | 0.6088          | 0.3546 |
| 0.5401        | 14.0  | 8092  | 0.6190          | 0.3488 |
| 0.5137        | 15.0  | 8670  | 0.6050          | 0.3397 |
| 0.5038        | 16.0  | 9248  | 0.6019          | 0.3414 |
| 0.5303        | 17.0  | 9826  | 0.6061          | 0.3456 |
| 0.5401        | 18.0  | 10404 | 0.6051          | 0.3410 |
| 0.5394        | 19.0  | 10982 | 0.6061          | 0.3399 |
| 0.4707        | 20.0  | 11560 | 0.6009          | 0.3386 |


### Framework versions

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