---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-pato-16
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# whisper-pato-16

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2622
- Wer: 18.7245

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1200
- num_epochs: 5.0

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer     |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 0.4191        | 1.0   | 7571  | 0.4169          | 35.9921 |
| 0.2812        | 2.0   | 15142 | 0.3270          | 30.7195 |
| 0.1381        | 3.0   | 22713 | 0.2948          | 24.3961 |
| 0.0485        | 4.0   | 30284 | 0.2677          | 21.0149 |
| 0.0088        | 5.0   | 37855 | 0.2622          | 18.7245 |


### Framework versions

- Transformers 4.45.0
- Pytorch 2.5.1+cu124
- Datasets 3.0.1
- Tokenizers 0.20.0