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Modelo_4_Whisper_Large_V3
This model is a fine-tuned version of openai/whisper-large-v3 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0477
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 |
|---|---|---|---|
| 0.3663 | 1.0 | 1174 | 0.8212 |
| 0.3104 | 2.0 | 2348 | 0.8361 |
| 0.195 | 3.0 | 3522 | 0.8408 |
| 0.1174 | 4.0 | 4696 | 0.9607 |
| 0.0474 | 5.0 | 5870 | 1.0477 |
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_Large_V3
Base model
openai/whisper-large-v3