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---
language:
- zh
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
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 Hanhpt23/ChineseMed dataset.
It achieves the following results on the evaluation set:
- Loss: 4.4161
- Wer: 116.6667
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.0985 | 1.0 | 371 | 2.8659 | 188.8889 |
| 1.6605 | 2.0 | 742 | 2.8279 | 102.2222 |
| 1.2794 | 3.0 | 1113 | 3.0839 | 110.0000 |
| 0.7344 | 4.0 | 1484 | 3.4284 | 107.7778 |
| 0.4201 | 5.0 | 1855 | 3.6794 | 142.2222 |
| 0.1934 | 6.0 | 2226 | 3.8480 | 111.1111 |
| 0.0892 | 7.0 | 2597 | 4.0445 | 112.2222 |
| 0.0609 | 8.0 | 2968 | 4.1135 | 107.7778 |
| 0.0421 | 9.0 | 3339 | 4.2117 | 116.6667 |
| 0.0264 | 10.0 | 3710 | 4.3500 | 118.8889 |
| 0.0168 | 11.0 | 4081 | 4.2340 | 110.0000 |
| 0.0098 | 12.0 | 4452 | 4.3287 | 115.5556 |
| 0.0053 | 13.0 | 4823 | 4.3447 | 111.1111 |
| 0.0012 | 14.0 | 5194 | 4.3370 | 118.8889 |
| 0.0031 | 15.0 | 5565 | 4.3509 | 118.8889 |
| 0.0012 | 16.0 | 5936 | 4.3898 | 115.5556 |
| 0.0003 | 17.0 | 6307 | 4.3852 | 115.5556 |
| 0.0002 | 18.0 | 6678 | 4.4175 | 116.6667 |
| 0.0002 | 19.0 | 7049 | 4.4100 | 116.6667 |
| 0.0002 | 20.0 | 7420 | 4.4161 | 116.6667 |
### Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1
|