---
library_name: transformers
language:
- es
license: mit
base_model: openai/whisper-large-v3-turbo
tags:
- hf-asr-leaderboard
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper Large SEIN - COES SEIN - Version 4
  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 Large SEIN - COES SEIN - Version 4

This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on the SEIN COES dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6407
- Wer: 45.1515

## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.0           | 500.0  | 1000 | 1.4820          | 45.7576 |
| 0.0           | 1000.0 | 2000 | 1.5722          | 45.1515 |
| 0.0           | 1500.0 | 3000 | 1.6192          | 45.1515 |
| 0.0           | 2000.0 | 4000 | 1.6407          | 45.1515 |


### Framework versions

- Transformers 4.47.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3