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LegalAbstractiveSummarization

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metadata
license: apache-2.0
library_name: peft
tags:
  - generated_from_trainer
metrics:
  - rouge
base_model: AathifMohammed/t5baseflan
model-index:
  - name: LegalAbstractiveSummarization
    results: []

LegalAbstractiveSummarization

This model is a fine-tuned version of AathifMohammed/t5baseflan on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 2.3803
  • Rouge1: 47.7228
  • Rouge2: 21.5558
  • Rougel: 28.288
  • Rougelsum: 43.2466
  • Gen Len: 278.26

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: 2
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
No log 1.0 125 2.3840 47.6864 21.5113 28.2396 43.1664 276.951
No log 2.0 250 2.3803 47.7228 21.5558 28.288 43.2466 278.26

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