---
language:
- zh
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
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 pphuc25/ChiMed dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5036
- Cer: 34.0018

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.9949        | 1.0   | 161  | 1.1720          | 86.6756 |
| 0.6345        | 2.0   | 322  | 1.2101          | 74.7772 |
| 0.4273        | 3.0   | 483  | 1.2770          | 42.6025 |
| 0.2435        | 4.0   | 644  | 1.3652          | 44.5856 |
| 0.1437        | 5.0   | 805  | 1.4654          | 50.7353 |
| 0.097         | 6.0   | 966  | 1.4137          | 53.5873 |
| 0.0808        | 7.0   | 1127 | 1.4085          | 42.1569 |
| 0.049         | 8.0   | 1288 | 1.4790          | 38.6586 |
| 0.0392        | 9.0   | 1449 | 1.5276          | 40.6640 |
| 0.0283        | 10.0  | 1610 | 1.4854          | 42.5802 |
| 0.0164        | 11.0  | 1771 | 1.5004          | 39.7727 |
| 0.0126        | 12.0  | 1932 | 1.5267          | 41.9118 |
| 0.0124        | 13.0  | 2093 | 1.5349          | 36.7870 |
| 0.0061        | 14.0  | 2254 | 1.5172          | 35.6061 |
| 0.0018        | 15.0  | 2415 | 1.5075          | 34.0909 |
| 0.0032        | 16.0  | 2576 | 1.5066          | 34.5365 |
| 0.001         | 17.0  | 2737 | 1.4948          | 33.6453 |
| 0.0007        | 18.0  | 2898 | 1.5060          | 34.3137 |
| 0.0005        | 19.0  | 3059 | 1.5030          | 34.2246 |
| 0.0005        | 20.0  | 3220 | 1.5036          | 34.0018 |


### Framework versions

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