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Training completed!
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metadata
license: cc-by-sa-4.0
base_model: nlpaueb/legal-bert-base-uncased
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: >-
      unsummarized-partisan-legal-bert-base-uncased-supreme-court-32batch_3epoch_2e5lr_01wd
    results: []

unsummarized-partisan-legal-bert-base-uncased-supreme-court-32batch_3epoch_2e5lr_01wd

This model is a fine-tuned version of nlpaueb/legal-bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5720
  • Accuracy: 0.6867

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: 2e-05
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 7
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.5666 1.0 660 0.5456 0.6644
0.514 2.0 1320 0.5460 0.6852
0.4584 3.0 1980 0.5720 0.6867

Framework versions

  • Transformers 4.35.1
  • Pytorch 2.1.0+cu121
  • Datasets 2.14.6
  • Tokenizers 0.14.1