--- license: apache-2.0 library_name: peft tags: - generated_from_trainer metrics: - rouge base_model: AathifMohammed/t5baseflan model-index: - name: T5LegalAbstractiveSummarization results: [] --- # T5LegalAbstractiveSummarization This model is a fine-tuned version of [AathifMohammed/t5baseflan](https://huggingface.co/AathifMohammed/t5baseflan) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 2.3609 - Rouge1: 46.0257 - Rouge2: 19.7049 - Rougel: 27.1994 - Rougelsum: 41.5335 - Gen Len: 269.53 ## 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: - learning_rate: 5e-05 - train_batch_size: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 10 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| | No log | 1.0 | 32 | 2.3728 | 46.5257 | 20.1572 | 27.2915 | 41.9231 | 268.37 | | No log | 2.0 | 64 | 2.3723 | 46.6356 | 20.2894 | 27.4219 | 42.0149 | 267.67 | | No log | 3.0 | 96 | 2.3711 | 46.6278 | 20.272 | 27.4113 | 42.0144 | 268.32 | | No log | 4.0 | 128 | 2.3692 | 46.5747 | 20.2018 | 27.4114 | 41.8886 | 270.68 | | No log | 5.0 | 160 | 2.3671 | 46.3585 | 19.8511 | 27.1805 | 41.627 | 271.06 | | No log | 6.0 | 192 | 2.3652 | 46.1954 | 19.7736 | 27.1616 | 41.5316 | 270.98 | | No log | 7.0 | 224 | 2.3636 | 46.1564 | 19.6929 | 27.1374 | 41.5196 | 269.82 | | No log | 8.0 | 256 | 2.3622 | 46.1804 | 19.7607 | 27.2296 | 41.6105 | 270.93 | | No log | 9.0 | 288 | 2.3613 | 45.9359 | 19.5433 | 27.1402 | 41.4038 | 269.49 | | No log | 10.0 | 320 | 2.3609 | 46.0257 | 19.7049 | 27.1994 | 41.5335 | 269.53 | ### Framework versions - PEFT 0.10.1.dev0 - Transformers 4.40.0.dev0 - Pytorch 2.2.1+cu121 - Datasets 2.18.0 - Tokenizers 0.15.2