---
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: 1.3026
- Wer: 27.9008

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.6316        | 1.0   | 323  | 0.7416          | 27.0570 |
| 0.3434        | 2.0   | 646  | 0.8113          | 45.2004 |
| 0.1758        | 3.0   | 969  | 0.9400          | 37.6055 |
| 0.0946        | 4.0   | 1292 | 0.9426          | 45.8861 |
| 0.0614        | 5.0   | 1615 | 1.0252          | 40.0844 |
| 0.0435        | 6.0   | 1938 | 1.0605          | 23.1540 |
| 0.0235        | 7.0   | 2261 | 1.1076          | 29.8523 |
| 0.02          | 8.0   | 2584 | 1.1745          | 47.3101 |
| 0.0197        | 9.0   | 2907 | 1.1967          | 34.4937 |
| 0.0094        | 10.0  | 3230 | 1.2394          | 28.4283 |
| 0.0065        | 11.0  | 3553 | 1.2382          | 53.3755 |
| 0.0024        | 12.0  | 3876 | 1.2605          | 37.8165 |
| 0.0036        | 13.0  | 4199 | 1.2512          | 29.9051 |
| 0.002         | 14.0  | 4522 | 1.2735          | 32.7004 |
| 0.001         | 15.0  | 4845 | 1.2824          | 25.4747 |
| 0.0005        | 16.0  | 5168 | 1.2930          | 24.8945 |
| 0.0003        | 17.0  | 5491 | 1.2919          | 27.5844 |
| 0.0004        | 18.0  | 5814 | 1.3033          | 25.1055 |
| 0.0002        | 19.0  | 6137 | 1.2996          | 27.6371 |
| 0.0002        | 20.0  | 6460 | 1.3026          | 27.9008 |


### Framework versions

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