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bert-leg-al-corpus

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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: 1.8639

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: 24
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
2.408 0.6329 100 2.0952
2.1264 1.2658 200 1.9866
2.0701 1.8987 300 1.9136
2.0156 2.5316 400 1.8920
2.004 3.1646 500 1.8745
1.9702 3.7975 600 1.8537
1.9569 4.4304 700 1.8493

Framework versions

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