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

# openai/whisper-small

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the pphuc25/ChiMed dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1603
- Wer: 84.4794
- Cer: 25.0446

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer      | Cer      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
| 0.6517        | 1.0   | 161  | 0.8312          | 272.4951 | 128.1194 |
| 0.3421        | 2.0   | 322  | 0.7985          | 171.1198 | 63.7478  |
| 0.2206        | 3.0   | 483  | 0.9271          | 152.0629 | 59.8039  |
| 0.103         | 4.0   | 644  | 1.0397          | 85.2652  | 28.4091  |
| 0.0834        | 5.0   | 805  | 1.0335          | 92.7308  | 26.6266  |
| 0.0578        | 6.0   | 966  | 1.0893          | 86.2475  | 28.6319  |
| 0.0617        | 7.0   | 1127 | 1.1243          | 88.2122  | 28.0303  |
| 0.0407        | 8.0   | 1288 | 1.1577          | 84.6758  | 28.6988  |
| 0.032         | 9.0   | 1449 | 1.1847          | 83.3006  | 26.7157  |
| 0.0223        | 10.0  | 1610 | 1.1404          | 94.1061  | 32.5980  |
| 0.0144        | 11.0  | 1771 | 1.1927          | 88.0157  | 28.3645  |
| 0.0087        | 12.0  | 1932 | 1.1309          | 88.4086  | 26.4483  |
| 0.0126        | 13.0  | 2093 | 1.1613          | 84.0864  | 25.5570  |
| 0.0047        | 14.0  | 2254 | 1.1863          | 86.4440  | 25.7353  |
| 0.0061        | 15.0  | 2415 | 1.1674          | 83.6935  | 27.0276  |
| 0.0013        | 16.0  | 2576 | 1.1762          | 83.4971  | 25.2005  |
| 0.0007        | 17.0  | 2737 | 1.1697          | 84.8723  | 25.4679  |
| 0.0006        | 18.0  | 2898 | 1.1614          | 83.8900  | 25.2897  |
| 0.0002        | 19.0  | 3059 | 1.1597          | 84.4794  | 25.0446  |
| 0.0002        | 20.0  | 3220 | 1.1603          | 84.4794  | 25.0446  |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1