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AliiaR/t5-small-finetuned-model
This model is a fine-tuned version of AliiaR/t5-small-finetuned-model on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 1.4127
- Validation Loss: 1.1016
- Train Rouge1: 14.9189
- Train Rouge2: 3.7554
- Train Rougel: 13.6461
- Train Rougelsum: 13.6801
- Train Gen Len: 13.4191
- 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 |
|---|---|---|---|---|---|---|---|
| 1.4127 | 1.1016 | 14.9189 | 3.7554 | 13.6461 | 13.6801 | 13.4191 | 0 |
Framework versions
- Transformers 4.28.1
- TensorFlow 2.12.0
- Datasets 2.12.0
- Tokenizers 0.13.3
