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---
language:
- en
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/EngMed dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0004
- Wer: 21.9876
- Cer: 17.0884
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 0.7291 | 1.0 | 386 | 0.3415 | 25.0142 | 20.1560 |
| 0.472 | 2.0 | 772 | 0.2196 | 27.4412 | 24.5293 |
| 0.2716 | 3.0 | 1158 | 0.1239 | 31.2274 | 28.4146 |
| 0.1409 | 4.0 | 1544 | 0.0740 | 38.1165 | 34.4281 |
| 0.1283 | 5.0 | 1930 | 0.0465 | 40.1171 | 35.9613 |
| 0.0631 | 6.0 | 2316 | 0.0310 | 36.5868 | 30.1992 |
| 0.0582 | 7.0 | 2702 | 0.0177 | 32.1775 | 26.2129 |
| 0.0531 | 8.0 | 3088 | 0.0131 | 31.8391 | 27.8444 |
| 0.0238 | 9.0 | 3474 | 0.0091 | 24.2508 | 18.5448 |
| 0.0149 | 10.0 | 3860 | 0.0060 | 24.8696 | 19.3220 |
| 0.0057 | 11.0 | 4246 | 0.0050 | 26.8193 | 21.7715 |
| 0.0077 | 12.0 | 4632 | 0.0031 | 23.0677 | 19.1910 |
| 0.0073 | 13.0 | 5018 | 0.0028 | 24.7584 | 19.3135 |
| 0.0052 | 14.0 | 5404 | 0.0014 | 25.8657 | 19.1331 |
| 0.0031 | 15.0 | 5790 | 0.0009 | 21.5274 | 17.0940 |
| 0.0039 | 16.0 | 6176 | 0.0007 | 22.1520 | 17.1637 |
| 0.0013 | 17.0 | 6562 | 0.0006 | 22.9021 | 17.7620 |
| 0.0009 | 18.0 | 6948 | 0.0005 | 21.9899 | 17.3717 |
| 0.001 | 19.0 | 7334 | 0.0004 | 22.1923 | 17.4027 |
| 0.0004 | 20.0 | 7720 | 0.0004 | 21.9876 | 17.0884 |
### Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1
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