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prikarsartam/Olga
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: 2.8904
- Validation Loss: 2.6281
- Train Rouge1: 25.0368
- Train Rouge2: 5.6914
- Train Rougel: 19.4806
- Train Rougelsum: 19.4874
- Train Gen Len: 18.7987
- Epoch: 1
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-06, '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 |
|---|---|---|---|---|---|---|---|
| 3.0715 | 2.6854 | 23.4337 | 4.8994 | 18.1348 | 18.1316 | 18.7024 | 0 |
| 2.8904 | 2.6281 | 25.0368 | 5.6914 | 19.4806 | 19.4874 | 18.7987 | 1 |
Framework versions
- Transformers 4.22.1
- TensorFlow 2.8.2
- Datasets 2.5.1
- Tokenizers 0.12.1
