Summarization_Model
This model is a fine-tuned version of google-t5/t5-small on an unknown dataset.
Model description
Fine-tuned version of t5-small on the BillSum dataset for summarization tasks.
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.57.1
- Pytorch 2.9.0
- Datasets 4.3.0
- Tokenizers 0.22.1
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Model tree for Fathi7ma/Legal_Summarizer
Base model
google-t5/t5-small