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---
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: 0.6777
- Wer: 0.4204

## 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
- 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: 10.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.6227        | 1.0   | 72   | 0.7283          | 0.4659 |
| 0.6027        | 2.0   | 144  | 0.7168          | 0.4428 |
| 0.5973        | 3.0   | 216  | 0.7061          | 0.4313 |
| 0.5773        | 4.0   | 288  | 0.7068          | 0.4336 |
| 0.5965        | 5.0   | 360  | 0.7038          | 0.4340 |
| 0.5854        | 6.0   | 432  | 0.7054          | 0.4309 |
| 0.5832        | 7.0   | 504  | 0.6990          | 0.4253 |
| 0.5968        | 8.0   | 576  | 0.6988          | 0.4232 |
| 0.5895        | 9.0   | 648  | 0.6867          | 0.4222 |
| 0.6378        | 10.0  | 720  | 0.6777          | 0.4204 |


### Framework versions

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