---
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-small-tw
  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. -->

# whisper-small-tw

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2367
- Wer: 149.6566

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 8000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.084         | 1.33  | 1000 | 0.1997          | 164.9495 |
| 0.0329        | 2.67  | 2000 | 0.1929          | 157.7172 |
| 0.0085        | 4.0   | 3000 | 0.2002          | 185.5758 |
| 0.0019        | 5.33  | 4000 | 0.2076          | 209.1717 |
| 0.0032        | 6.67  | 5000 | 0.2236          | 185.9394 |
| 0.0022        | 8.0   | 6000 | 0.2272          | 148.3434 |
| 0.0005        | 9.33  | 7000 | 0.2343          | 154.9495 |
| 0.0004        | 10.67 | 8000 | 0.2367          | 149.6566 |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0