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legalbert-large-1.7M-1_class_actions

This model is a fine-tuned version of pile-of-law/legalbert-large-1.7M-1 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6901
  • Accuracy: 0.55

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: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 14

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 150 0.6892 0.55
No log 2.0 300 0.6913 0.55
No log 3.0 450 0.7061 0.45
0.7143 4.0 600 0.6908 0.55
0.7143 5.0 750 0.6925 0.55
0.7143 6.0 900 0.6951 0.45
0.7164 7.0 1050 0.6893 0.55
0.7164 8.0 1200 0.6884 0.55
0.7164 9.0 1350 0.6910 0.55
0.7042 10.0 1500 0.6882 0.55
0.7042 11.0 1650 0.7099 0.45
0.7042 12.0 1800 0.6910 0.55
0.7042 13.0 1950 0.6910 0.55
0.6999 14.0 2100 0.6901 0.55

Framework versions

  • Transformers 4.29.2
  • Pytorch 2.0.1+cu118
  • Datasets 2.12.0
  • Tokenizers 0.13.3
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