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gogzy/t5-base-finetuned_renre_2021_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: 6.0647
- Validation Loss: 4.9004
- Train Rouge1: 14.8649
- Train Rouge2: 8.2192
- Train Rougel: 12.1622
- Train Rougelsum: 14.8649
- 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 |
|---|---|---|---|---|---|---|---|
| 10.3805 | 9.9375 | 14.8649 | 8.2192 | 12.1622 | 14.8649 | 19.0 | 0 |
| 9.2108 | 8.9290 | 14.8649 | 8.2192 | 12.1622 | 14.8649 | 19.0 | 1 |
| 8.1249 | 7.6832 | 14.8649 | 8.2192 | 12.1622 | 14.8649 | 19.0 | 2 |
| 7.3542 | 6.2012 | 14.8649 | 8.2192 | 12.1622 | 14.8649 | 19.0 | 3 |
| 6.0647 | 4.9004 | 14.8649 | 8.2192 | 12.1622 | 14.8649 | 19.0 | 4 |
Framework versions
- Transformers 4.24.0
- TensorFlow 2.9.2
- Datasets 2.6.1
- Tokenizers 0.13.1
