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

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: 5.1807
- Wer: 1.0
- Cer: 1.0000

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- training_steps: 2000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:---:|:------:|
| 17.808        | 1.09  | 200  | 25.2775         | 1.0 | 1.0000 |
| 6.2017        | 2.19  | 400  | 7.3944          | 1.0 | 1.0000 |
| 4.858         | 3.28  | 600  | 5.1807          | 1.0 | 1.0000 |
| 3.9172        | 4.37  | 800  | 4.4228          | 1.0 | 1.0000 |
| 3.7413        | 5.46  | 1000 | 4.1509          | 1.0 | 1.0000 |
| 3.7496        | 6.56  | 1200 | 4.0403          | 1.0 | 1.0000 |
| 3.6742        | 7.65  | 1400 | 4.0565          | 1.0 | 1.0000 |
| 3.7246        | 8.74  | 1600 | 3.9468          | 1.0 | 1.0000 |
| 3.6329        | 9.84  | 1800 | 3.9271          | 1.0 | 1.0000 |
| 3.6562        | 10.93 | 2000 | 3.9091          | 1.0 | 1.0000 |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2