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shirsh10mall/Fine_Tune_T5_Model_News_Summarization
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: 1.8874
- Validation Loss: 1.6657
- Train Lr: 2e-05
- Epoch: 9
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 Lr | Epoch |
|---|---|---|---|
| 1.9197 | 1.7073 | 2e-05 | 0 |
| 1.8816 | 1.6956 | 2e-05 | 1 |
| 1.8680 | 1.6860 | 2e-05 | 2 |
| 1.8640 | 1.6779 | 2e-05 | 3 |
| 1.8556 | 1.6773 | 2e-05 | 4 |
| 1.8522 | 1.6751 | 2e-05 | 5 |
| 1.8468 | 1.6725 | 2e-05 | 6 |
| 1.8424 | 1.6665 | 2e-05 | 7 |
| 1.8432 | 1.6650 | 2e-05 | 8 |
| 1.8874 | 1.6657 | 2e-05 | 9 |
Framework versions
- Transformers 4.30.1
- TensorFlow 2.12.0
- Datasets 2.1.0
- Tokenizers 0.13.3
