MarPla/t5-small-finetuned1-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: 3.2112
- Validation Loss: 2.6915
- Train Rouge1: 21.8316
- Train Rouge2: 4.6573
- Train Rougel: 17.4999
- Train Rougelsum: 17.5098
- Train Gen Len: 18.4414
- 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 |
|---|---|---|---|---|---|---|---|
| 3.2112 | 2.6915 | 21.8316 | 4.6573 | 17.4999 | 17.5098 | 18.4414 | 0 |
Framework versions
- Transformers 4.39.3
- TensorFlow 2.15.0
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for MarPla/t5-small-finetuned1-xsum
Base model
google-t5/t5-small