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TestZee/t5-base-finetuned-question-generation-data-t5-base
This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 4.0855
- Validation Loss: 4.4354
- Train Rouge1: 27.4892
- Train Rouge2: 8.6370
- Train Rougel: 24.3146
- Train Rougelsum: 24.3146
- Train Gen Len: 19.0
- 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': 1e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.001}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train Gen Len | Epoch |
|---|---|---|---|---|---|---|---|
| 4.0855 | 4.4354 | 27.4892 | 8.6370 | 24.3146 | 24.3146 | 19.0 | 0 |
Framework versions
- Transformers 4.26.1
- TensorFlow 2.9.2
- Datasets 2.9.0
- Tokenizers 0.13.2
