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whisper-large-v2-ft-car50-allB-e3n4_owner12-copy2x-241210-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: 2.5429
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 |
|---|---|---|---|
| 11.3078 | 1.0 | 5 | 9.3827 |
| 7.2036 | 2.0 | 10 | 4.7295 |
| 4.093 | 3.0 | 15 | 3.5798 |
| 3.4153 | 4.0 | 20 | 3.2637 |
| 3.1367 | 5.0 | 25 | 3.0486 |
| 2.9393 | 6.0 | 30 | 2.8729 |
| 2.7736 | 7.0 | 35 | 2.7334 |
| 2.6539 | 8.0 | 40 | 2.6309 |
| 2.5664 | 9.0 | 45 | 2.5671 |
| 2.5179 | 10.0 | 50 | 2.5429 |
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-car50-allB-e3n4_owner12-copy2x-241210-v1
Base model
openai/whisper-large-v2