---
language:
- zh
license: apache-2.0
base_model: openai/whisper-medium
tags:
- generated_from_trainer
metrics:
- wer
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: 1.1592
- Wer: 80.9430

## 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      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6574        | 1.0   | 161  | 0.8255          | 104.1257 |
| 0.3457        | 2.0   | 322  | 0.8750          | 90.9627  |
| 0.2273        | 3.0   | 483  | 0.9033          | 84.4794  |
| 0.1392        | 4.0   | 644  | 0.9562          | 81.3360  |
| 1.8629        | 5.0   | 805  | 1.3537          | 127.1120 |
| 0.0816        | 6.0   | 966  | 1.0682          | 88.0157  |
| 0.0722        | 7.0   | 1127 | 1.0343          | 100.0    |
| 0.0494        | 8.0   | 1288 | 1.0605          | 84.4794  |
| 0.0405        | 9.0   | 1449 | 1.0960          | 86.6405  |
| 0.0403        | 10.0  | 1610 | 1.1383          | 87.4263  |
| 0.0216        | 11.0  | 1771 | 1.0693          | 88.9980  |
| 0.0166        | 12.0  | 1932 | 1.0588          | 88.0157  |
| 0.0126        | 13.0  | 2093 | 1.1074          | 79.1749  |
| 0.0083        | 14.0  | 2254 | 1.1398          | 83.6935  |
| 0.0075        | 15.0  | 2415 | 1.1451          | 88.6051  |
| 0.0019        | 16.0  | 2576 | 1.1521          | 85.0688  |
| 0.0006        | 17.0  | 2737 | 1.1442          | 81.1395  |
| 0.0007        | 18.0  | 2898 | 1.1521          | 82.3183  |
| 0.0003        | 19.0  | 3059 | 1.1581          | 80.9430  |
| 0.0002        | 20.0  | 3220 | 1.1592          | 80.9430  |


### Framework versions

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