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dc1576c
metadata
license: cc-by-sa-4.0
tags:
  - generated_from_trainer
datasets:
  - alex-apostolo/filtered-cuad
model-index:
  - name: legal-bert-base-uncased-finetuned-filtered-cuad
    results: []

legal-bert-base-uncased-finetuned-filtered-cuad

This model is a fine-tuned version of nlpaueb/legal-bert-base-uncased on the filtered-cuad dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0436

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: 42
  • 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
0.0606 1.0 7312 0.0467
0.0379 2.0 14624 0.0455
0.0296 3.0 21936 0.0436

Framework versions

  • Transformers 4.21.0
  • Pytorch 1.12.0+cu113
  • Datasets 2.4.0
  • Tokenizers 0.12.1