---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-large-asr-th-2
  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-large-asr-th-2

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: 0.5485
- Wer: 0.6163
- Cer: 0.1880

## 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: 20
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 40
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 3000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 3.7562        | 0.39  | 500  | 3.6183          | 1.0    | 0.9999 |
| 2.3585        | 0.79  | 1000 | 1.6482          | 0.9893 | 0.4815 |
| 1.1946        | 1.18  | 1500 | 0.7852          | 0.7434 | 0.2404 |
| 1.0082        | 1.58  | 2000 | 0.6294          | 0.6566 | 0.2069 |
| 0.9679        | 1.97  | 2500 | 0.5688          | 0.6272 | 0.1922 |
| 0.9845        | 2.37  | 3000 | 0.5485          | 0.6163 | 0.1880 |


### Framework versions

- Transformers 4.27.3
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2