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kasrahabib/all-MiniLM-L6-v2-finetuned-PRFNF
This model is a fine-tuned version of sentence-transformers/all-MiniLM-L6-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0289
- Validation Loss: 0.3008
- Epoch: 13
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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 930, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 0.6644 | 0.6105 | 0 |
| 0.4381 | 0.2948 | 1 |
| 0.2171 | 0.2302 | 2 |
| 0.1171 | 0.2247 | 3 |
| 0.0806 | 0.2386 | 4 |
| 0.0637 | 0.2627 | 5 |
| 0.0495 | 0.2653 | 6 |
| 0.0417 | 0.2727 | 7 |
| 0.0419 | 0.2849 | 8 |
| 0.0378 | 0.2918 | 9 |
| 0.0374 | 0.2903 | 10 |
| 0.0296 | 0.2940 | 11 |
| 0.0341 | 0.2978 | 12 |
| 0.0289 | 0.3008 | 13 |
Framework versions
- Transformers 4.26.1
- TensorFlow 2.11.0
- Datasets 2.10.1
- Tokenizers 0.13.2
