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Final_Fine_Tuned_Legal_Led

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text2text-generation
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metadata
license: mit
library_name: transformers
base_model: nsi319/legal-led-base-16384
model-index:
  - name: results
    results: []
pipeline_tag: summarization

results

This model is a fine-tuned version of nsi319/legal-led-base-16384 on the joelniklaus/legal_case_document_summarization dataset. It achieves the following results on the evaluation set:

  • Loss: 2.7401

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: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss
3.2 1.0 1924 2.8550
3.6193 2.0 3848 2.7593
2.7776 3.0 5772 2.7401

Framework versions

  • PEFT 0.7.1
  • Transformers 4.36.0
  • Pytorch 2.0.0
  • Datasets 2.1.0
  • Tokenizers 0.15.0