---
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