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pablo-chocobar/xsum_headlines_t5small
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: 2.8756
- Validation Loss: 2.6937
- Train Rouge1: 0.2334
- Train Rouge2: 0.0495
- Train Rougel: 0.1834
- Train Rougelsum: 0.1834
- Train Gen Len: 18.7884
- 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 |
|---|---|---|---|---|---|---|---|
| 3.2117 | 2.8067 | 0.2073 | 0.0406 | 0.1611 | 0.1612 | 18.612 | 0 |
| 2.9396 | 2.7271 | 0.2257 | 0.0474 | 0.1776 | 0.1777 | 18.6914 | 1 |
| 2.8756 | 2.6937 | 0.2334 | 0.0495 | 0.1834 | 0.1834 | 18.7884 | 2 |
Framework versions
- Transformers 4.30.2
- TensorFlow 2.12.0
- Datasets 2.13.1
- Tokenizers 0.13.3
