sf_20240220_v2
This model is a fine-tuned version of nvidia/mit-b0 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0514
- Validation Loss: 0.0698
- Epoch: 14
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:
- optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 0.0006, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
Training results
Train Loss | Validation Loss | Epoch |
---|---|---|
0.1435 | 0.1090 | 0 |
0.0923 | 0.0976 | 1 |
0.0815 | 0.0951 | 2 |
0.0760 | 0.0959 | 3 |
0.0735 | 0.0844 | 4 |
0.0710 | 0.0824 | 5 |
0.0669 | 0.0719 | 6 |
0.0628 | 0.0738 | 7 |
0.0664 | 0.0801 | 8 |
0.0665 | 0.0756 | 9 |
0.0612 | 0.0672 | 10 |
0.0571 | 0.0703 | 11 |
0.0546 | 0.0714 | 12 |
0.0553 | 0.0841 | 13 |
0.0514 | 0.0698 | 14 |
Framework versions
- Transformers 4.37.0
- TensorFlow 2.15.0
- Datasets 2.1.0
- Tokenizers 0.15.1
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