---
license: apache-2.0
tags:
- 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 None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5592
- Wer: 0.2671

## 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: 8e-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5000
- num_epochs: 50.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.4853        | 1.0   | 288   | 0.5760          | 0.3098 |
| 0.48          | 2.0   | 576   | 0.5787          | 0.3085 |
| 0.4625        | 3.0   | 864   | 0.5925          | 0.3112 |
| 0.4704        | 4.0   | 1152  | 0.6065          | 0.3108 |
| 0.4854        | 5.0   | 1440  | 0.6036          | 0.3112 |
| 0.4918        | 6.0   | 1728  | 0.6007          | 0.3148 |
| 0.4549        | 7.0   | 2016  | 0.6039          | 0.3073 |
| 0.4546        | 8.0   | 2304  | 0.6129          | 0.3073 |
| 0.4404        | 9.0   | 2592  | 0.6062          | 0.3054 |
| 0.4681        | 10.0  | 2880  | 0.6063          | 0.3075 |
| 0.469         | 11.0  | 3168  | 0.5881          | 0.3031 |
| 0.4903        | 12.0  | 3456  | 0.5913          | 0.3047 |
| 0.4677        | 13.0  | 3744  | 0.5921          | 0.3055 |
| 0.502         | 14.0  | 4032  | 0.5905          | 0.3042 |
| 0.5028        | 15.0  | 4320  | 0.5989          | 0.3088 |
| 0.4706        | 16.0  | 4608  | 0.5665          | 0.3066 |
| 0.4839        | 17.0  | 4896  | 0.6003          | 0.3111 |
| 0.4733        | 18.0  | 5184  | 0.5937          | 0.3039 |
| 0.4544        | 19.0  | 5472  | 0.5903          | 0.3025 |
| 0.4616        | 20.0  | 5760  | 0.6064          | 0.2968 |
| 0.475         | 21.0  | 6048  | 0.5883          | 0.2960 |
| 0.4707        | 22.0  | 6336  | 0.5900          | 0.2888 |
| 0.4562        | 23.0  | 6624  | 0.5642          | 0.2956 |
| 0.455         | 24.0  | 6912  | 0.5732          | 0.2893 |
| 0.5011        | 25.0  | 7200  | 0.5612          | 0.2876 |
| 0.4658        | 26.0  | 7488  | 0.5631          | 0.2915 |
| 0.4423        | 27.0  | 7776  | 0.5668          | 0.2853 |
| 0.4287        | 28.0  | 8064  | 0.5664          | 0.2847 |
| 0.4634        | 29.0  | 8352  | 0.5687          | 0.2875 |
| 0.4413        | 30.0  | 8640  | 0.5684          | 0.2954 |
| 0.4385        | 31.0  | 8928  | 0.5602          | 0.2801 |
| 0.4557        | 32.0  | 9216  | 0.5637          | 0.2747 |
| 0.4344        | 33.0  | 9504  | 0.5690          | 0.2853 |
| 0.4264        | 34.0  | 9792  | 0.5653          | 0.2866 |
| 0.4395        | 35.0  | 10080 | 0.5764          | 0.2808 |
| 0.4278        | 36.0  | 10368 | 0.5758          | 0.2761 |
| 0.44          | 37.0  | 10656 | 0.5816          | 0.2770 |
| 0.4356        | 38.0  | 10944 | 0.5814          | 0.2784 |
| 0.487         | 39.0  | 11232 | 0.5694          | 0.2834 |
| 0.44          | 40.0  | 11520 | 0.5637          | 0.2747 |
| 0.4151        | 41.0  | 11808 | 0.5683          | 0.2763 |
| 0.4208        | 42.0  | 12096 | 0.5720          | 0.2732 |
| 0.4354        | 43.0  | 12384 | 0.5657          | 0.2771 |
| 0.4304        | 44.0  | 12672 | 0.5735          | 0.2724 |
| 0.3991        | 45.0  | 12960 | 0.5638          | 0.2688 |
| 0.4348        | 46.0  | 13248 | 0.5639          | 0.2699 |
| 0.4291        | 47.0  | 13536 | 0.5577          | 0.2682 |
| 0.4252        | 48.0  | 13824 | 0.5611          | 0.2680 |
| 0.4253        | 49.0  | 14112 | 0.5621          | 0.2682 |
| 0.4298        | 50.0  | 14400 | 0.5592          | 0.2671 |


### Framework versions

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