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gogzy/t5-base-finetuned_renre_2021_70_item1
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: 2.9249
- Validation Loss: 3.4095
- Train Rouge1: 23.3982
- Train Rouge2: 19.6757
- Train Rougel: 22.3564
- Train Rougelsum: 22.8412
- Train Gen Len: 19.0
- Epoch: 4
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 |
|---|---|---|---|---|---|---|---|
| 9.7749 | 6.6798 | 18.9434 | 12.6370 | 16.9890 | 17.7338 | 19.0 | 0 |
| 4.9973 | 4.2477 | 22.6855 | 17.2847 | 21.5463 | 21.7509 | 19.0 | 1 |
| 3.5151 | 3.8275 | 23.5077 | 18.3312 | 21.6536 | 21.9844 | 19.0 | 2 |
| 3.2552 | 3.5650 | 22.6213 | 18.1468 | 21.3466 | 21.8323 | 19.0 | 3 |
| 2.9249 | 3.4095 | 23.3982 | 19.6757 | 22.3564 | 22.8412 | 19.0 | 4 |
Framework versions
- Transformers 4.24.0
- TensorFlow 2.9.2
- Datasets 2.6.1
- Tokenizers 0.13.1
