---
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-base-finetune-vi-v5
  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. -->

# wav2vec2-base-finetune-vi-v5

This model is a fine-tuned version of [foxxy-hm/wav2vec2-base-finetune-vi-v5](https://huggingface.co/foxxy-hm/wav2vec2-base-finetune-vi-v5) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2484
- Wer: 0.1527

## 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: 0.0001
- 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: 1000
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 11.2332       | 0.49  | 500  | 3.4000          | 1.0    |
| 1.4014        | 0.99  | 1000 | 0.3058          | 0.1825 |
| 0.1614        | 1.48  | 1500 | 0.2742          | 0.1646 |
| 0.1269        | 1.98  | 2000 | 0.2791          | 0.1628 |
| 0.0991        | 2.47  | 2500 | 0.2642          | 0.1589 |
| 0.0913        | 2.96  | 3000 | 0.2483          | 0.1555 |
| 0.0833        | 3.46  | 3500 | 0.2528          | 0.1535 |
| 0.0787        | 3.95  | 4000 | 0.2484          | 0.1527 |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.0
- Datasets 2.8.0
- Tokenizers 0.13.3