tush1308/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: 1.9113
- Validation Loss: 1.6949
- Train Lr: 2e-05
- 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 Lr | Epoch |
---|---|---|---|
1.9113 | 1.6949 | 2e-05 | 0 |
Framework versions
- Transformers 4.30.1
- TensorFlow 2.12.0
- Datasets 2.1.0
- Tokenizers 0.13.3
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