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---
language:
- zh
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: openai/whisper-small
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-small
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the pphuc25/ChiMed dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1189
- Wer: 80.7466
- Cer: 23.1952
## 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 | Cer |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------:|
| 0.6947 | 1.0 | 161 | 0.8771 | 224.7544 | 75.6462 |
| 0.3688 | 2.0 | 322 | 0.8461 | 107.2692 | 32.0187 |
| 0.2168 | 3.0 | 483 | 0.9040 | 84.8723 | 26.0472 |
| 0.1117 | 4.0 | 644 | 0.9532 | 90.5697 | 28.1640 |
| 0.0928 | 5.0 | 805 | 0.9663 | 89.7839 | 28.2977 |
| 0.0672 | 6.0 | 966 | 1.0584 | 87.2299 | 31.1275 |
| 0.0534 | 7.0 | 1127 | 1.0810 | 86.4440 | 28.5651 |
| 0.0443 | 8.0 | 1288 | 1.0709 | 83.8900 | 29.1889 |
| 0.0415 | 9.0 | 1449 | 1.0984 | 85.0688 | 26.4929 |
| 0.0198 | 10.0 | 1610 | 1.1180 | 89.9804 | 27.3841 |
| 0.0182 | 11.0 | 1771 | 1.0824 | 86.4440 | 27.1613 |
| 0.0116 | 12.0 | 1932 | 1.1320 | 85.6582 | 26.1809 |
| 0.0107 | 13.0 | 2093 | 1.1042 | 82.5147 | 24.6658 |
| 0.0075 | 14.0 | 2254 | 1.1034 | 80.9430 | 24.5989 |
| 0.0021 | 15.0 | 2415 | 1.0967 | 78.9784 | 23.3734 |
| 0.0003 | 16.0 | 2576 | 1.1061 | 81.1395 | 23.4848 |
| 0.0002 | 17.0 | 2737 | 1.1144 | 81.1395 | 23.5294 |
| 0.0002 | 18.0 | 2898 | 1.1173 | 81.1395 | 23.3957 |
| 0.0004 | 19.0 | 3059 | 1.1184 | 80.7466 | 23.1506 |
| 0.0003 | 20.0 | 3220 | 1.1189 | 80.7466 | 23.1952 |
### Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1
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