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smehta12/initial_t5_small_model-finetuned-webis-tldr-17
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: 3.5103
- Validation Loss: 3.2985
- Train Rouge1: 17.6080
- Train Rouge2: 3.9092
- Train Rougel: 14.0764
- Train Rougelsum: 15.2964
- Train Gen Len: 18.2270
- 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 |
|---|---|---|---|---|---|---|---|
| 3.5103 | 3.2985 | 17.6080 | 3.9092 | 14.0764 | 15.2964 | 18.2270 | 0 |
Framework versions
- Transformers 4.34.1
- TensorFlow 2.13.0
- Datasets 2.14.5
- Tokenizers 0.14.1
