---
library_name: transformers
language:
- es
license: apache-2.0
base_model: openai/whisper-large-v3
tags:
- generated_from_trainer
datasets:
- facebook/covost2
metrics:
- wer
model-index:
- name: Whisper-large-v3-spanish-transcription-v2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Whisper-large-v3-spanish-transcription-v2

This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the covost2 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1302
- Wer: 9.3640

## 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: 100
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.113         | 1.0   | 4939 | 0.1302          | 9.3640 |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.20.3