---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: ai-light-dance_singing_ft_wav2vec2-large-xlsr-53
  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_singing_ft_wav2vec2-large-xlsr-53

This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4405
- Wer: 0.2022

## 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-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 500
- num_epochs: 10.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 1.4089        | 1.0   | 552  | 1.4750          | 0.9054 |
| 0.7995        | 2.0   | 1104 | 0.9044          | 0.6163 |
| 0.6232        | 3.0   | 1656 | 0.6645          | 0.3980 |
| 0.5351        | 4.0   | 2208 | 0.5674          | 0.3120 |
| 0.472         | 5.0   | 2760 | 0.5167          | 0.2579 |
| 0.3913        | 6.0   | 3312 | 0.4553          | 0.2335 |
| 0.3306        | 7.0   | 3864 | 0.4476          | 0.2114 |
| 0.3028        | 8.0   | 4416 | 0.4327          | 0.2043 |
| 0.317         | 9.0   | 4968 | 0.4355          | 0.2033 |
| 0.2494        | 10.0  | 5520 | 0.4405          | 0.2022 |


### Framework versions

- Transformers 4.20.0.dev0
- Pytorch 1.11.0+cu113
- Datasets 2.3.1.dev0
- Tokenizers 0.12.1