bert-leg-al-corpus / README.md
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metadata
license: cc
base_model: joelniklaus/legal-xlm-roberta-base
tags:
  - generated_from_trainer
model-index:
  - name: bert-leg-al-corpus
    results: []

bert-leg-al-corpus

This model is a fine-tuned version of joelniklaus/legal-xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.7948

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-06
  • train_batch_size: 16
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 4

Training results

Training Loss Epoch Step Validation Loss
1.8679 0.4219 100 1.8208
1.8623 0.8439 200 1.8081
1.8987 1.2658 300 1.8153
1.8659 1.6878 400 1.7836
1.8685 2.1097 500 1.7825
1.8734 2.5316 600 1.7903
1.9124 2.9536 700 1.7771
1.8875 3.3755 800 1.7819
1.9029 3.7975 900 1.8032

Framework versions

  • Transformers 4.41.2
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.2
  • Tokenizers 0.19.1