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kasrahabib/100-200-bucket-finetunned
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: 0.0595
- Validation Loss: 0.2551
- Epoch: 9
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', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 1240, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 1.4464 | 1.0900 | 0 |
| 0.8067 | 0.5640 | 1 |
| 0.3831 | 0.3874 | 2 |
| 0.2202 | 0.3008 | 3 |
| 0.1416 | 0.2800 | 4 |
| 0.0993 | 0.2666 | 5 |
| 0.0790 | 0.2587 | 6 |
| 0.0696 | 0.2591 | 7 |
| 0.0626 | 0.2561 | 8 |
| 0.0595 | 0.2551 | 9 |
Framework versions
- Transformers 4.26.0
- TensorFlow 2.9.2
- Datasets 2.9.0
- Tokenizers 0.13.2
