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whisper-large-v2-ft-my_dataset_car500_owner12_snr0x8_mp3-241019-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: 0.0074
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 |
|---|---|---|---|
| 4.5938 | 1.0 | 188 | 0.2099 |
| 0.1007 | 2.0 | 376 | 0.0513 |
| 0.0344 | 3.0 | 564 | 0.0271 |
| 0.0164 | 4.0 | 752 | 0.0190 |
| 0.0086 | 5.0 | 940 | 0.0134 |
| 0.0047 | 6.0 | 1128 | 0.0121 |
| 0.0027 | 7.0 | 1316 | 0.0100 |
| 0.0015 | 8.0 | 1504 | 0.0087 |
| 0.0008 | 9.0 | 1692 | 0.0075 |
| 0.0005 | 10.0 | 1880 | 0.0074 |
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-my_dataset_car500_owner12_snr0x8_mp3-241019-v2
Base model
openai/whisper-large-v2