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salemmarah4/t5-base-finetuned-xsum
This model is a fine-tuned version of ThomasSimonini/t5-end2end-question-generation on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.4229
- Validation Loss: 0.2018
- Train Rouge1: 31.6228
- Train Rouge2: 26.9829
- Train Rougel: 30.4108
- Train Rougelsum: 30.6027
- Train Gen Len: 18.9996
- 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': 5e-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 |
|---|---|---|---|---|---|---|---|
| 0.4229 | 0.2018 | 31.6228 | 26.9829 | 30.4108 | 30.6027 | 18.9996 | 0 |
Framework versions
- Transformers 4.26.0
- TensorFlow 2.9.2
- Datasets 2.9.0
- Tokenizers 0.13.2
