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whisper-large-v2-ft-cv16-1_mix_snr0x1-241031-v1
This model is a fine-tuned version of openai/whisper-large-v2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.9295
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: 5e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.4233 | 1.0 | 1 | 6.4726 |
| 6.9082 | 2.0 | 2 | 5.8656 |
| 5.7584 | 3.0 | 3 | 4.8092 |
| 4.5737 | 4.0 | 4 | 3.9981 |
| 3.8165 | 5.0 | 5 | 3.4801 |
| 3.5179 | 6.0 | 6 | 3.2032 |
| 3.3755 | 7.0 | 7 | 3.0721 |
| 3.4115 | 8.0 | 8 | 2.9978 |
| 3.2989 | 9.0 | 9 | 2.9515 |
| 3.3197 | 10.0 | 10 | 2.9295 |
Framework versions
- PEFT 0.13.0
- Transformers 4.45.1
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.0
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Model tree for dylanewbie/whisper-large-v2-ft-cv16-1_mix_snr0x1-241031-v1
Base model
openai/whisper-large-v2