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

This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the pphuc25/EngMed dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3225
- Wer: 27.9808

## 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     |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 0.7862        | 1.0   | 3491  | 0.8811          | 43.2441 |
| 0.5443        | 2.0   | 6982  | 0.8834          | 38.7694 |
| 0.3319        | 3.0   | 10473 | 0.9247          | 34.6764 |
| 0.2412        | 4.0   | 13964 | 0.9765          | 34.9636 |
| 0.1809        | 5.0   | 17455 | 1.0223          | 31.3646 |
| 0.1112        | 6.0   | 20946 | 1.1013          | 33.5169 |
| 0.0786        | 7.0   | 24437 | 1.1217          | 34.1563 |
| 0.0666        | 8.0   | 27928 | 1.1698          | 36.5356 |
| 0.0487        | 9.0   | 31419 | 1.1934          | 33.9412 |
| 0.0395        | 10.0  | 34910 | 1.2259          | 31.4509 |
| 0.0229        | 11.0  | 38401 | 1.2614          | 32.0655 |
| 0.0181        | 12.0  | 41892 | 1.2823          | 30.5444 |
| 0.0118        | 13.0  | 45383 | 1.2890          | 30.2773 |
| 0.0069        | 14.0  | 48874 | 1.3081          | 30.3435 |
| 0.0073        | 15.0  | 52365 | 1.3085          | 30.4097 |
| 0.0017        | 16.0  | 55856 | 1.3099          | 29.4145 |
| 0.0062        | 17.0  | 59347 | 1.3229          | 29.5386 |
| 0.0013        | 18.0  | 62838 | 1.3162          | 28.3058 |
| 0.0001        | 19.0  | 66329 | 1.3197          | 28.0387 |
| 0.0001        | 20.0  | 69820 | 1.3225          | 27.9808 |


### Framework versions

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