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whisper-turbo-tr_combined_90_percent_2
This model is a fine-tuned version of openai/whisper-large-v3-turbo on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2025
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_ratio: 0.1
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2549 | 0.5104 | 1500 | 0.2242 |
| 0.2299 | 1.0208 | 3000 | 0.2111 |
| 0.2231 | 1.5311 | 4500 | 0.2064 |
| 0.2125 | 2.0415 | 6000 | 0.2033 |
| 0.2233 | 2.5519 | 7500 | 0.2025 |
Framework versions
- PEFT 0.15.1
- Transformers 4.48.0
- Pytorch 2.5.1
- Datasets 3.2.0
- Tokenizers 0.21.1
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