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Modelo_4_Whisper_Tiny
This model is a fine-tuned version of openai/whisper-tiny on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2120
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 |
|---|---|---|---|
| 0.8758 | 1.0 | 1174 | 1.2410 |
| 0.773 | 2.0 | 2348 | 1.1992 |
| 0.7368 | 3.0 | 3522 | 1.2029 |
| 0.6759 | 4.0 | 4696 | 1.1813 |
| 0.588 | 5.0 | 5870 | 1.2120 |
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_4_Whisper_Tiny
Base model
openai/whisper-tiny