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YSKartal/SSCI-SciBERT-e2-finetuned-svident
This model is a fine-tuned version of KM4STfulltext/SSCI-SciBERT-e2 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.1916
- Validation Loss: 0.4552
- Train F1: 0.7665
- Epoch: 4
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': 351, '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 | Train F1 | Epoch |
|---|---|---|---|
| 0.1946 | 0.4552 | 0.7665 | 0 |
| 0.1944 | 0.4552 | 0.7665 | 1 |
| 0.1928 | 0.4552 | 0.7665 | 2 |
| 0.1963 | 0.4552 | 0.7665 | 3 |
| 0.1916 | 0.4552 | 0.7665 | 4 |
Framework versions
- Transformers 4.24.0
- TensorFlow 2.9.2
- Datasets 2.6.1
- Tokenizers 0.13.2
