---
license: apache-2.0
tags:
- generated_from_trainer
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: 3.7473
- Cer: 0.9999

## 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: 0.0005
- 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: 250
- training_steps: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 4.2296        | 0.56  | 100  | 4.0607          | 0.9999 |
| 3.6029        | 1.13  | 200  | 3.9200          | 0.9999 |
| 3.6003        | 1.69  | 300  | 3.7882          | 0.9999 |
| 3.6346        | 2.26  | 400  | 3.7473          | 0.9999 |
| 3.6041        | 2.82  | 500  | 3.9651          | 0.9999 |
| 3.5491        | 3.39  | 600  | 3.9053          | 0.9999 |
| 3.568         | 3.95  | 700  | 3.7021          | 0.9999 |
| 3.5773        | 4.52  | 800  | 3.6694          | 0.9999 |
| 3.5367        | 5.08  | 900  | 3.6426          | 0.9999 |
| 3.5112        | 5.65  | 1000 | 3.6260          | 0.9999 |


### Framework versions

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