---
language:
- en
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/SilvarMed dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1653
- Wer: 2.6729

## 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    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.0595        | 1.0   | 2438  | 0.1336          | 4.7314 |
| 0.0301        | 2.0   | 4876  | 0.1503          | 5.6790 |
| 0.0202        | 3.0   | 7314  | 0.1391          | 5.3653 |
| 0.0181        | 4.0   | 9752  | 0.1544          | 6.9011 |
| 0.0155        | 5.0   | 12190 | 0.1623          | 4.4047 |
| 0.0067        | 6.0   | 14628 | 0.1711          | 4.1890 |
| 0.0075        | 7.0   | 17066 | 0.1636          | 3.7577 |
| 0.0073        | 8.0   | 19504 | 0.1676          | 3.2218 |
| 0.005         | 9.0   | 21942 | 0.1756          | 3.5616 |
| 0.0003        | 10.0  | 24380 | 0.1668          | 3.2675 |
| 0.0023        | 11.0  | 26818 | 0.1702          | 3.2741 |
| 0.0025        | 12.0  | 29256 | 0.1662          | 3.0257 |
| 0.0002        | 13.0  | 31694 | 0.1692          | 2.9996 |
| 0.0           | 14.0  | 34132 | 0.1755          | 4.4569 |
| 0.0008        | 15.0  | 36570 | 0.1713          | 3.0192 |
| 0.0001        | 16.0  | 39008 | 0.1620          | 2.7839 |
| 0.0           | 17.0  | 41446 | 0.1718          | 2.7317 |
| 0.0           | 18.0  | 43884 | 0.1659          | 2.7970 |
| 0.0           | 19.0  | 46322 | 0.1653          | 2.6925 |
| 0.0           | 20.0  | 48760 | 0.1653          | 2.6729 |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.3.0
- Datasets 3.2.0
- Tokenizers 0.19.1