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topic-legal-bert-base-uncased-supreme-court-16batch_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: 0.7456
  • Accuracy: 0.7784

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: 16
  • eval_batch_size: 16
  • 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
0.8618 1.0 1319 0.7770 0.7625
0.5796 2.0 2638 0.7247 0.7821
0.4043 3.0 3957 0.7456 0.7784

Framework versions

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