priecar/TFG-summarization-2-epoch
This model is a fine-tuned version of priecar/TFG-summarization-1-epoch on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 1.7384
- Validation Loss: 1.9394
- Train Rouge1: 19.6164
- Train Rouge2: 9.4083
- Train Rougel: 17.1886
- Train Rougelsum: 18.0354
- Train Gen Len: 18.9899
- Epoch: 0
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': 0.01}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train Gen Len | Epoch |
|---|---|---|---|---|---|---|---|
| 1.7384 | 1.9394 | 19.6164 | 9.4083 | 17.1886 | 18.0354 | 18.9899 | 0 |
Framework versions
- Transformers 4.26.1
- TensorFlow 2.11.0
- Datasets 2.10.0
- Tokenizers 0.13.2