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bernie318/t5-small-finetuned-xsum
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 2.5983
- Validation Loss: 2.5954
- Train Rouge1: 30.6145
- Train Rouge2: 11.0867
- Train Rougel: 27.8563
- Train Rougelsum: 28.3062
- Train Gen Len: 14.3943
- Epoch: 9
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 |
|---|---|---|---|---|---|---|---|
| 3.2144 | 2.8769 | 28.3666 | 9.8105 | 25.9011 | 26.2622 | 13.9779 | 0 |
| 2.9969 | 2.7981 | 29.3521 | 9.8982 | 26.6170 | 26.9810 | 13.6696 | 1 |
| 2.9113 | 2.7524 | 29.7706 | 10.2436 | 26.8957 | 27.3153 | 14.0797 | 2 |
| 2.8458 | 2.7190 | 29.9319 | 10.3847 | 27.0670 | 27.4480 | 13.8896 | 3 |
| 2.7936 | 2.6886 | 30.1697 | 10.7656 | 27.2649 | 27.7447 | 14.1183 | 4 |
| 2.7465 | 2.6623 | 30.1171 | 10.5863 | 27.2924 | 27.7829 | 14.0591 | 5 |
| 2.7092 | 2.6465 | 30.0256 | 10.5645 | 27.2227 | 27.6142 | 14.0702 | 6 |
| 2.6670 | 2.6238 | 30.4114 | 10.8832 | 27.6397 | 28.0416 | 13.8983 | 7 |
| 2.6350 | 2.6066 | 30.7765 | 10.8859 | 27.8242 | 28.2338 | 13.6972 | 8 |
| 2.5983 | 2.5954 | 30.6145 | 11.0867 | 27.8563 | 28.3062 | 14.3943 | 9 |
Framework versions
- Transformers 4.30.2
- TensorFlow 2.12.0
- Datasets 2.13.1
- Tokenizers 0.13.3
