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whisper-large-v2-ft-my_dataset_car100_owner12_notmix_copy4x_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: 0.0018
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 |
|---|---|---|---|
| 8.976 | 1.0 | 19 | 4.5909 |
| 3.4777 | 2.0 | 38 | 2.7646 |
| 2.2635 | 3.0 | 57 | 1.8117 |
| 1.4155 | 4.0 | 76 | 0.8651 |
| 0.9728 | 5.0 | 95 | 0.0721 |
| 0.0271 | 6.0 | 114 | 0.0166 |
| 0.0106 | 7.0 | 133 | 0.0072 |
| 0.0045 | 8.0 | 152 | 0.0033 |
| 0.0025 | 9.0 | 171 | 0.0021 |
| 0.0018 | 10.0 | 190 | 0.0018 |
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_car100_owner12_notmix_copy4x_mp3-241111-v1
Base model
openai/whisper-large-v2