---
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: 1.4040
- Wer: 24.2615

## 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     |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 0.7995        | 1.0   | 2268  | 0.8023          | 42.7597 |
| 0.4972        | 2.0   | 4536  | 0.8141          | 31.7847 |
| 0.3198        | 3.0   | 6804  | 0.8778          | 34.2508 |
| 0.2148        | 4.0   | 9072  | 0.9436          | 32.1119 |
| 0.1419        | 5.0   | 11340 | 1.0230          | 29.0506 |
| 0.0918        | 6.0   | 13608 | 1.0874          | 27.6792 |
| 0.0747        | 7.0   | 15876 | 1.1259          | 28.6260 |
| 0.0515        | 8.0   | 18144 | 1.1792          | 28.2198 |
| 0.0271        | 9.0   | 20412 | 1.2107          | 26.5981 |
| 0.0248        | 10.0  | 22680 | 1.2557          | 25.6329 |
| 0.0234        | 11.0  | 24948 | 1.2852          | 25.0377 |
| 0.0123        | 12.0  | 27216 | 1.2924          | 25.9923 |
| 0.0078        | 13.0  | 29484 | 1.3419          | 26.1364 |
| 0.0066        | 14.0  | 31752 | 1.3504          | 25.6874 |
| 0.003         | 15.0  | 34020 | 1.3602          | 23.9576 |
| 0.0028        | 16.0  | 36288 | 1.3710          | 24.7884 |
| 0.0045        | 17.0  | 38556 | 1.3845          | 24.4455 |
| 0.0003        | 18.0  | 40824 | 1.3914          | 25.2929 |
| 0.0002        | 19.0  | 43092 | 1.3993          | 24.3930 |
| 0.0001        | 20.0  | 45360 | 1.4040          | 24.2615 |


### Framework versions

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