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

legal-bert-small-uncased-filtered-filtered-cuad

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

  • Loss: 0.0604

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: 64
  • eval_batch_size: 64
  • 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
0.0768 1.0 2571 0.0701
0.0667 2.0 5142 0.0638
0.0548 3.0 7713 0.0604

Framework versions

  • Transformers 4.21.1
  • Pytorch 1.12.0+cu113
  • Datasets 2.4.0
  • Tokenizers 0.12.1