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

This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the pphuc25/ChiMed dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2560
- Wer: 85.6582

## 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      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.7187        | 1.0   | 161  | 0.9482          | 110.4126 |
| 0.4241        | 2.0   | 322  | 0.9742          | 94.1061  |
| 0.2284        | 3.0   | 483  | 1.0348          | 100.9823 |
| 0.1019        | 4.0   | 644  | 1.0740          | 89.9804  |
| 0.0663        | 5.0   | 805  | 1.1215          | 87.4263  |
| 0.0473        | 6.0   | 966  | 1.1625          | 88.4086  |
| 0.0354        | 7.0   | 1127 | 1.1645          | 89.5874  |
| 0.0288        | 8.0   | 1288 | 1.1893          | 105.6974 |
| 0.0194        | 9.0   | 1449 | 1.1955          | 88.0157  |
| 0.0144        | 10.0  | 1610 | 1.1969          | 123.5756 |
| 0.011         | 11.0  | 1771 | 1.2305          | 90.3733  |
| 0.005         | 12.0  | 1932 | 1.2550          | 88.8016  |
| 0.0058        | 13.0  | 2093 | 1.2345          | 87.8193  |
| 0.0018        | 14.0  | 2254 | 1.2281          | 86.8369  |
| 0.0006        | 15.0  | 2415 | 1.2489          | 85.8546  |
| 0.0012        | 16.0  | 2576 | 1.2419          | 86.8369  |
| 0.0005        | 17.0  | 2737 | 1.2564          | 85.6582  |
| 0.0004        | 18.0  | 2898 | 1.2542          | 85.6582  |
| 0.0004        | 19.0  | 3059 | 1.2548          | 85.8546  |
| 0.0004        | 20.0  | 3220 | 1.2560          | 85.6582  |


### Framework versions

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