metadata
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: []
Whisper Large SEIN - COES SEIN - Version 4
This model is a fine-tuned version of 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