---
library_name: transformers
language:
- es
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper Small 200 Sep 4 es - Jessica Martinez
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Whisper Small 200 Sep 4 es - Jessica Martinez

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the procesar-videos2024rdm200 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5072
- Wer: 15.5020

## 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: 1e-05
- train_batch_size: 16
- 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: 25
- training_steps: 200
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer     |
|:-------------:|:-------:|:----:|:---------------:|:-------:|
| 0.276         | 4.1667  | 50   | 0.4263          | 19.2554 |
| 0.1108        | 8.3333  | 100  | 0.4481          | 16.7531 |
| 0.0397        | 12.5    | 150  | 0.4945          | 17.0278 |
| 0.0209        | 16.6667 | 200  | 0.5072          | 15.5020 |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1