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kasrahabib/200-500-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: 0.0280
- Validation Loss: 0.3784
- 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': 3110, '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 |
|---|---|---|
| 1.0739 | 0.6559 | 0 |
| 0.4665 | 0.4309 | 1 |
| 0.2473 | 0.3669 | 2 |
| 0.1437 | 0.3746 | 3 |
| 0.0825 | 0.3663 | 4 |
| 0.0592 | 0.3649 | 5 |
| 0.0451 | 0.3523 | 6 |
| 0.0345 | 0.3710 | 7 |
| 0.0292 | 0.3705 | 8 |
| 0.0280 | 0.3784 | 9 |
Framework versions
- Transformers 4.26.0
- TensorFlow 2.9.2
- Datasets 2.9.0
- Tokenizers 0.13.2
