---
language:
- en
license: apache-2.0
base_model: openai/whisper-medium
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: openai/whisper-medium
  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-medium

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the pphuc25/EngMed dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3174
- Wer: 16.8776

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.5925        | 1.0   | 323  | 0.7699          | 21.1498 |
| 0.3437        | 2.0   | 646  | 0.8143          | 36.4451 |
| 0.1856        | 3.0   | 969  | 0.8772          | 20.0422 |
| 0.123         | 4.0   | 1292 | 0.8963          | 22.3629 |
| 0.0975        | 5.0   | 1615 | 0.9559          | 20.4641 |
| 0.0746        | 6.0   | 1938 | 0.9947          | 20.7806 |
| 0.0594        | 7.0   | 2261 | 1.0422          | 18.5654 |
| 0.0405        | 8.0   | 2584 | 1.1209          | 18.9873 |
| 0.0352        | 9.0   | 2907 | 1.1780          | 23.7869 |
| 0.0313        | 10.0  | 3230 | 1.1915          | 19.5148 |
| 0.0213        | 11.0  | 3553 | 1.2019          | 16.8776 |
| 0.0154        | 12.0  | 3876 | 1.1514          | 17.8797 |
| 0.0047        | 13.0  | 4199 | 1.1908          | 19.6730 |
| 0.0091        | 14.0  | 4522 | 1.1906          | 18.7764 |
| 0.0017        | 15.0  | 4845 | 1.2421          | 17.9852 |
| 0.0012        | 16.0  | 5168 | 1.2742          | 18.0907 |
| 0.0003        | 17.0  | 5491 | 1.3038          | 17.5105 |
| 0.0003        | 18.0  | 5814 | 1.3091          | 17.4578 |
| 0.0002        | 19.0  | 6137 | 1.3155          | 16.9304 |
| 0.0           | 20.0  | 6460 | 1.3174          | 16.8776 |


### Framework versions

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