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IGustavsen/t5-v1_1-small-finetuned-english-wikilingua
This model is a fine-tuned version of google/t5-v1_1-small on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 2.9250
- Validation Loss: 2.2343
- Train Rouge1: 27.1439
- Train Rouge2: 9.6842
- Train Rougel: 23.0232
- Train Rougelsum: 26.2764
- Train Gen Len: 18.0871
- 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': 1e-04, '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 |
|---|---|---|---|---|---|---|---|
| 2.9250 | 2.2343 | 27.1439 | 9.6842 | 23.0232 | 26.2764 | 18.0871 | 0 |
Framework versions
- Transformers 4.29.2
- TensorFlow 2.12.0
- Datasets 2.12.0
- Tokenizers 0.13.3
