---
language:
- zh
license: apache-2.0
base_model: openai/whisper-base
tags:
- generated_from_trainer
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: 1.3748
- Cer: 30.8155

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.8187        | 1.0   | 161  | 1.0315          | 58.4225 |
| 0.4746        | 2.0   | 322  | 1.0785          | 42.6025 |
| 0.29          | 3.0   | 483  | 1.1087          | 44.8752 |
| 0.1474        | 4.0   | 644  | 1.2218          | 34.2914 |
| 0.0994        | 5.0   | 805  | 1.2465          | 55.9269 |
| 0.0779        | 6.0   | 966  | 1.3060          | 36.7201 |
| 0.0549        | 7.0   | 1127 | 1.3262          | 32.8877 |
| 0.0504        | 8.0   | 1288 | 1.3147          | 38.2353 |
| 0.032         | 9.0   | 1449 | 1.4272          | 34.0686 |
| 0.0283        | 10.0  | 1610 | 1.3575          | 31.7513 |
| 0.0244        | 11.0  | 1771 | 1.3715          | 33.2442 |
| 0.0131        | 12.0  | 1932 | 1.3905          | 32.4198 |
| 0.0111        | 13.0  | 2093 | 1.3886          | 33.7344 |
| 0.0072        | 14.0  | 2254 | 1.3618          | 36.1854 |
| 0.0015        | 15.0  | 2415 | 1.3707          | 31.2166 |
| 0.0027        | 16.0  | 2576 | 1.3733          | 30.6373 |
| 0.0007        | 17.0  | 2737 | 1.3673          | 31.3503 |
| 0.0004        | 18.0  | 2898 | 1.3741          | 30.8824 |
| 0.0003        | 19.0  | 3059 | 1.3739          | 30.7709 |
| 0.0003        | 20.0  | 3220 | 1.3748          | 30.8155 |


### Framework versions

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