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prikarsartam/Chatelet
This model is a fine-tuned version of prikarsartam/Chatelet on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 2.6426
- Validation Loss: 2.4740
- Train Rouge1: 28.4570
- Train Rouge2: 7.8923
- Train Rougel: 22.4844
- Train Rougelsum: 22.5176
- Train Gen Len: 18.839
- Epoch: 2
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-06, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train Gen Len | Epoch |
|---|---|---|---|---|---|---|---|
| 2.6549 | 2.4765 | 28.4405 | 7.9286 | 22.5463 | 22.5954 | 18.839 | 0 |
| 2.6498 | 2.4752 | 28.4785 | 7.9250 | 22.5438 | 22.5986 | 18.84 | 1 |
| 2.6426 | 2.4740 | 28.4570 | 7.8923 | 22.4844 | 22.5176 | 18.839 | 2 |
Framework versions
- Transformers 4.22.1
- TensorFlow 2.8.2
- Datasets 2.4.0
- Tokenizers 0.12.1
