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Modelo_1_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: 1.0080
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 |
|---|---|---|---|
| 1.5435 | 1.0 | 121 | 1.4045 |
| 1.0395 | 2.0 | 242 | 1.1484 |
| 0.7843 | 3.0 | 363 | 1.0529 |
| 0.6772 | 4.0 | 484 | 1.0191 |
| 0.5662 | 5.0 | 605 | 1.0080 |
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_1_Whisper_Tiny
Base model
openai/whisper-tiny