---
language:
- es
license: apache-2.0
base_model: openai/whisper-large
tags:
- hf-asr-leaderboard
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper Large SEIN - COES SEIN
  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

This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-large) on the SEIN COES dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000
- Wer: 41.3688

## 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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.0001        | 153.85 | 1000 | 0.0001          | 53.5687 |
| 0.0001        | 307.69 | 2000 | 0.0001          | 39.7393 |
| 0.0           | 461.54 | 3000 | 0.0000          | 42.4443 |
| 0.0           | 615.38 | 4000 | 0.0000          | 41.3688 |


### Framework versions

- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0