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---
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 6
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 6
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: 1.3004
- Wer: 37.6838
## 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 |
|:-------------:|:---------:|:----:|:---------------:|:-------:|
| 0.0001 | 166.6667 | 500 | 1.1083 | 39.1544 |
| 0.0 | 333.3333 | 1000 | 1.1779 | 37.5 |
| 0.0 | 500.0 | 1500 | 1.2174 | 37.5 |
| 0.0 | 666.6667 | 2000 | 1.2450 | 37.3162 |
| 0.0 | 833.3333 | 2500 | 1.2670 | 37.5 |
| 0.0 | 1000.0 | 3000 | 1.2838 | 37.5 |
| 0.0 | 1166.6667 | 3500 | 1.2955 | 37.6838 |
| 0.0 | 1333.3333 | 4000 | 1.3004 | 37.6838 |
### Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.21.0
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