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

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the pphuc25/ChiMed dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5288
- Cer: 34.8039

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.8597        | 1.0   | 161  | 1.0181          | 51.8271 |
| 0.5092        | 2.0   | 322  | 1.1675          | 45.0980 |
| 0.3538        | 3.0   | 483  | 1.2404          | 43.5606 |
| 0.2113        | 4.0   | 644  | 1.3250          | 40.8868 |
| 0.1571        | 5.0   | 805  | 1.4131          | 42.8253 |
| 0.1351        | 6.0   | 966  | 1.4855          | 36.2077 |
| 0.1041        | 7.0   | 1127 | 1.5188          | 33.1996 |
| 0.0755        | 8.0   | 1288 | 1.4444          | 35.5615 |
| 0.0671        | 9.0   | 1449 | 1.4181          | 32.7540 |
| 0.0467        | 10.0  | 1610 | 1.4439          | 34.6702 |
| 0.0412        | 11.0  | 1771 | 1.5517          | 33.4447 |
| 0.031         | 12.0  | 1932 | 1.4488          | 31.8405 |
| 0.0234        | 13.0  | 2093 | 1.5155          | 31.9742 |
| 0.0185        | 14.0  | 2254 | 1.6007          | 32.4866 |
| 0.0125        | 15.0  | 2415 | 1.5451          | 37.9456 |
| 0.0062        | 16.0  | 2576 | 1.4836          | 31.5062 |
| 0.0009        | 17.0  | 2737 | 1.5238          | 30.1916 |
| 0.0002        | 18.0  | 2898 | 1.5149          | 30.7264 |
| 0.0001        | 19.0  | 3059 | 1.5268          | 34.6925 |
| 0.0002        | 20.0  | 3220 | 1.5288          | 34.8039 |


### Framework versions

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