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Cpod/t5-small-finetuned-xsum-3-epochs
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: 2.5151
- Validation Loss: 2.2954
- Train Rouge1: 30.4781
- Train Rouge2: 9.4208
- Train Rougel: 24.2600
- Train Rougelsum: 24.2563
- Train Gen Len: 18.8283
- Epoch: 2
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 |
|---|---|---|---|---|---|---|---|
| 2.7188 | 2.3969 | 29.4812 | 8.5338 | 23.3274 | 23.3240 | 18.7924 | 0 |
| 2.5793 | 2.3335 | 30.1460 | 9.1220 | 23.9854 | 23.9780 | 18.8129 | 1 |
| 2.5151 | 2.2954 | 30.4781 | 9.4208 | 24.2600 | 24.2563 | 18.8283 | 2 |
Framework versions
- Transformers 4.26.1
- TensorFlow 2.11.0
- Datasets 2.10.1
- Tokenizers 0.13.2
