---
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 pphuc25/EngMed dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4835
- Wer: 32.2972

## 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     |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 0.8402        | 1.0   | 3491  | 0.9453          | 45.4910 |
| 0.5871        | 2.0   | 6982  | 0.9525          | 54.3790 |
| 0.3779        | 3.0   | 10473 | 0.9838          | 38.5673 |
| 0.2907        | 4.0   | 13964 | 1.0268          | 38.9408 |
| 0.2155        | 5.0   | 17455 | 1.1086          | 47.6326 |
| 0.1331        | 6.0   | 20946 | 1.1735          | 37.2778 |
| 0.1051        | 7.0   | 24437 | 1.2287          | 43.8694 |
| 0.0862        | 8.0   | 27928 | 1.2749          | 38.3380 |
| 0.051         | 9.0   | 31419 | 1.3181          | 38.1879 |
| 0.0505        | 10.0  | 34910 | 1.3519          | 37.6607 |
| 0.0235        | 11.0  | 38401 | 1.3838          | 34.7355 |
| 0.0172        | 12.0  | 41892 | 1.4131          | 34.8962 |
| 0.0145        | 13.0  | 45383 | 1.4257          | 34.5925 |
| 0.0102        | 14.0  | 48874 | 1.4460          | 34.5535 |
| 0.0063        | 15.0  | 52365 | 1.4482          | 33.0453 |
| 0.0023        | 16.0  | 55856 | 1.4666          | 32.8515 |
| 0.0017        | 17.0  | 59347 | 1.4708          | 32.4284 |
| 0.004         | 18.0  | 62838 | 1.4847          | 32.8149 |
| 0.0002        | 19.0  | 66329 | 1.4768          | 32.1459 |
| 0.0001        | 20.0  | 69820 | 1.4835          | 32.2972 |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1