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kasrahabib/500-100-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: 0.0050
- Validation Loss: 0.1358
- 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': 2800, '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 |
|---|---|---|
| 0.3514 | 0.1493 | 0 |
| 0.1166 | 0.1159 | 1 |
| 0.0628 | 0.1066 | 2 |
| 0.0282 | 0.1249 | 3 |
| 0.0245 | 0.1338 | 4 |
| 0.0181 | 0.1298 | 5 |
| 0.0103 | 0.1246 | 6 |
| 0.0085 | 0.1303 | 7 |
| 0.0044 | 0.1343 | 8 |
| 0.0050 | 0.1358 | 9 |
Framework versions
- Transformers 4.26.0
- TensorFlow 2.9.2
- Datasets 2.9.0
- Tokenizers 0.13.2
