---
language:
- zh
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
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: 1.3249
- Cer: 27.8520

## 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 | Cer      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.776         | 1.0   | 161  | 0.9761          | 346.2567 |
| 0.4431        | 2.0   | 322  | 0.9469          | 55.4813  |
| 0.2522        | 3.0   | 483  | 1.1108          | 47.6381  |
| 0.1548        | 4.0   | 644  | 1.1770          | 33.2219  |
| 0.1216        | 5.0   | 805  | 1.2831          | 34.9822  |
| 0.0914        | 6.0   | 966  | 1.2727          | 31.5285  |
| 0.0799        | 7.0   | 1127 | 1.2785          | 33.9795  |
| 0.0503        | 8.0   | 1288 | 1.3214          | 41.1542  |
| 0.0577        | 9.0   | 1449 | 1.3421          | 31.4394  |
| 0.0316        | 10.0  | 1610 | 1.3284          | 35.1381  |
| 0.0249        | 11.0  | 1771 | 1.3602          | 30.2139  |
| 0.0245        | 12.0  | 1932 | 1.3494          | 32.3752  |
| 0.0199        | 13.0  | 2093 | 1.3304          | 30.7041  |
| 0.0126        | 14.0  | 2254 | 1.3625          | 30.6818  |
| 0.0039        | 15.0  | 2415 | 1.3302          | 29.3895  |
| 0.003         | 16.0  | 2576 | 1.3131          | 29.1444  |
| 0.0003        | 17.0  | 2737 | 1.3168          | 28.3422  |
| 0.0003        | 18.0  | 2898 | 1.3202          | 28.0526  |
| 0.0007        | 19.0  | 3059 | 1.3235          | 27.9857  |
| 0.0003        | 20.0  | 3220 | 1.3249          | 27.8520  |


### Framework versions

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