---
language:
- es
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper Small spanish - ROGRANMAR
  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. -->

# Whisper Small spanish - ROGRANMAR

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the minds dataset.
It achieves the following results on the evaluation set:
- Loss: nan
- Wer: 100.0

## 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: 0.1
- train_batch_size: 64
- 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: 1
- training_steps: 40
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer       |
|:-------------:|:-----:|:----:|:---------------:|:---------:|
| No log        | 5.0   | 10   | 141.9978        | 1248.1793 |
| No log        | 10.0  | 20   | nan             | 100.0     |
| 77.0413       | 15.0  | 30   | nan             | 100.0     |
| 77.0413       | 20.0  | 40   | nan             | 100.0     |


### Framework versions

- Transformers 4.29.0.dev0
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3