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Add evaluation results on the alex-apostolo--filtered-cuad config and test split of alex-apostolo/filtered-cuad
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metadata
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - alex-apostolo/filtered-cuad
model-index:
  - name: legal-roberta-base-filtered-cuad
    results:
      - task:
          type: question-answering
          name: Question Answering
        dataset:
          name: alex-apostolo/filtered-cuad
          type: alex-apostolo/filtered-cuad
          config: alex-apostolo--filtered-cuad
          split: test
        metrics:
          - type: f1
            value: 71.2057
            name: F1
            verified: true
            verifyToken: >-
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          - type: exact
            value: 69.0171
            name: Exact Match
            verified: true
            verifyToken: >-
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          - type: loss
            value: 0.06303470581769943
            name: loss
            verified: true
            verifyToken: >-
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legal-roberta-base-filtered-cuad

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

  • Loss: 0.0428

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: 22
  • eval_batch_size: 22
  • 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
0.0556 1.0 12279 0.0517
0.0406 2.0 24558 0.0425
0.0332 3.0 36837 0.0428

Framework versions

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