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Modelo_3_Whisper_Medium
This model is a fine-tuned version of openai/whisper-medium on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1357
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: 0.001
- 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: 50
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6048 | 1.0 | 1295 | 0.4275 |
| 0.4759 | 2.0 | 2590 | 0.3141 |
| 0.3084 | 3.0 | 3885 | 0.2248 |
| 0.1447 | 4.0 | 5180 | 0.1638 |
| 0.0611 | 5.0 | 6475 | 0.1357 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.0+cu118
- Datasets 2.16.1
- Tokenizers 0.15.2
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Model tree for mfidabel/Modelo_3_Whisper_Medium
Base model
openai/whisper-medium