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maxivimax/FitModelPostik
This model is a fine-tuned version of Eliac11/tinkNLP on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 2.7928
- Validation Loss: 3.8404
- 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': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.005}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 5.0401 | 4.9605 | 0 |
| 4.7600 | 4.7852 | 1 |
| 4.4683 | 4.6138 | 2 |
| 4.2046 | 4.4533 | 3 |
| 3.9289 | 4.3035 | 4 |
| 3.6479 | 4.1901 | 5 |
| 3.4646 | 4.0660 | 6 |
| 3.1921 | 3.9863 | 7 |
| 3.0209 | 3.8974 | 8 |
| 2.7928 | 3.8404 | 9 |
Framework versions
- Transformers 4.33.1
- TensorFlow 2.13.0
- Datasets 2.14.5
- Tokenizers 0.13.3
