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Thalesian/SciGPT-2-finetuned-papers
This model is a fine-tuned version of distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 1.8928
- Validation Loss: 2.0726
- Epoch: 19
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', 'clipvalue': 0.7, 'learning_rate': {'class_name': 'ExponentialDecay', 'config': {'initial_learning_rate': 0.0005, 'decay_steps': 500, 'decay_rate': 0.95, 'staircase': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.1}
- training_precision: float32
Training results
Train Loss | Validation Loss | Epoch |
---|---|---|
1.8976 | 2.0729 | 0 |
1.8954 | 2.0728 | 1 |
1.8942 | 2.0725 | 2 |
1.8937 | 2.0726 | 3 |
1.8932 | 2.0727 | 4 |
1.8929 | 2.0727 | 5 |
1.8929 | 2.0727 | 6 |
1.8926 | 2.0726 | 7 |
1.8928 | 2.0726 | 8 |
1.8926 | 2.0726 | 9 |
1.8927 | 2.0726 | 10 |
1.8927 | 2.0726 | 11 |
1.8927 | 2.0726 | 12 |
1.8926 | 2.0726 | 13 |
1.8927 | 2.0726 | 14 |
1.8927 | 2.0726 | 15 |
1.8927 | 2.0726 | 16 |
1.8927 | 2.0726 | 17 |
1.8927 | 2.0726 | 18 |
1.8928 | 2.0726 | 19 |
Framework versions
- Transformers 4.25.1
- TensorFlow 2.8.0
- Datasets 2.8.0
- Tokenizers 0.13.2