<!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this comment. -->
juanarturovargas/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: 2.6991
- Validation Loss: 2.3063
- Train Rouge1: 12.4391
- Train Rouge2: 4.7412
- Train Rougel: 12.2704
- Train Rougelsum: 12.2483
- Train Gen Len: 8.8482
- 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': 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 |
|---|---|---|---|---|---|---|---|
| 2.6991 | 2.3063 | 12.4391 | 4.7412 | 12.2704 | 12.2483 | 8.8482 | 0 |
Framework versions
- Transformers 4.23.1
- TensorFlow 2.8.2
- Datasets 2.5.2
- Tokenizers 0.13.1
