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whisper-large-v2-ft-cv16-1_mix_snr0x1-241031-v2
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: 0.1316
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 |
|---|---|---|---|
| 4.2095 | 1.0 | 56 | 2.2318 |
| 1.559 | 2.0 | 112 | 0.5799 |
| 0.261 | 3.0 | 168 | 0.1321 |
| 0.1435 | 4.0 | 224 | 0.1274 |
| 0.1249 | 5.0 | 280 | 0.1268 |
| 0.1112 | 6.0 | 336 | 0.1275 |
| 0.1006 | 7.0 | 392 | 0.1307 |
| 0.094 | 8.0 | 448 | 0.1299 |
| 0.0887 | 9.0 | 504 | 0.1310 |
| 0.0848 | 10.0 | 560 | 0.1316 |
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-v2
Base model
openai/whisper-large-v2