---
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
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# wav2vec2-large-asr-th-2

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2713
- Wer: 0.3245
- Cer: 0.0892

## 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: 2e-05
- train_batch_size: 12
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 3
- total_train_batch_size: 36
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 0.0865        | 0.18  | 1000 | 0.5156          | 0.3249 | 0.0892 |
| 0.1075        | 0.36  | 2000 | 0.5144          | 0.3265 | 0.0899 |
| 0.1973        | 0.53  | 3000 | 0.4405          | 0.3298 | 0.0905 |
| 0.8348        | 0.71  | 4000 | 0.2713          | 0.3245 | 0.0892 |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3