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whisper-large-v2-ft-my_dataset_car50_owner12_notmix_copy8x_mp3-241111-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: 0.0004
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 |
|---|---|---|---|
| 8.9392 | 1.0 | 19 | 4.6785 |
| 3.4526 | 2.0 | 38 | 2.7787 |
| 2.2422 | 3.0 | 57 | 1.7955 |
| 1.3773 | 4.0 | 76 | 0.7962 |
| 0.3194 | 5.0 | 95 | 0.0412 |
| 0.0168 | 6.0 | 114 | 0.0075 |
| 0.0044 | 7.0 | 133 | 0.0022 |
| 0.0014 | 8.0 | 152 | 0.0009 |
| 0.0007 | 9.0 | 171 | 0.0005 |
| 0.0004 | 10.0 | 190 | 0.0004 |
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_car50_owner12_notmix_copy8x_mp3-241111-v1
Base model
openai/whisper-large-v2