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whisper-large-V3-QLoRA-Cantones
This model is a fine-tuned version of openai/whisper-large-v3 on the common_voice_13_0 dataset. It achieves the following results on the evaluation set:
- Loss: 3.0897
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: 0.005
- train_batch_size: 8
- 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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.7995 | 1.0 | 1753 | 3.7999 |
| 3.5221 | 2.0 | 3506 | 3.3667 |
| 3.0697 | 3.0 | 5259 | 3.0897 |
Framework versions
- PEFT 0.12.1.dev0
- Transformers 4.45.0.dev0
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for FunPang/whisper-large-V3-QLoRA-Cantones
Base model
openai/whisper-large-v3