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

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Hanhpt23/ChineseMed dataset.
It achieves the following results on the evaluation set:
- Loss: 4.4161
- Wer: 116.6667

## 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      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.0985        | 1.0   | 371  | 2.8659          | 188.8889 |
| 1.6605        | 2.0   | 742  | 2.8279          | 102.2222 |
| 1.2794        | 3.0   | 1113 | 3.0839          | 110.0000 |
| 0.7344        | 4.0   | 1484 | 3.4284          | 107.7778 |
| 0.4201        | 5.0   | 1855 | 3.6794          | 142.2222 |
| 0.1934        | 6.0   | 2226 | 3.8480          | 111.1111 |
| 0.0892        | 7.0   | 2597 | 4.0445          | 112.2222 |
| 0.0609        | 8.0   | 2968 | 4.1135          | 107.7778 |
| 0.0421        | 9.0   | 3339 | 4.2117          | 116.6667 |
| 0.0264        | 10.0  | 3710 | 4.3500          | 118.8889 |
| 0.0168        | 11.0  | 4081 | 4.2340          | 110.0000 |
| 0.0098        | 12.0  | 4452 | 4.3287          | 115.5556 |
| 0.0053        | 13.0  | 4823 | 4.3447          | 111.1111 |
| 0.0012        | 14.0  | 5194 | 4.3370          | 118.8889 |
| 0.0031        | 15.0  | 5565 | 4.3509          | 118.8889 |
| 0.0012        | 16.0  | 5936 | 4.3898          | 115.5556 |
| 0.0003        | 17.0  | 6307 | 4.3852          | 115.5556 |
| 0.0002        | 18.0  | 6678 | 4.4175          | 116.6667 |
| 0.0002        | 19.0  | 7049 | 4.4100          | 116.6667 |
| 0.0002        | 20.0  | 7420 | 4.4161          | 116.6667 |


### Framework versions

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