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Indo-LegalBERT

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Indo-LegalBERT / README.md
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metadata
license: mit
base_model: indobenchmark/indobert-base-p2
tags:
  - generated_from_trainer
model-index:
  - name: Indonesian-LegalBERT-lite
    results: []

Indonesian-LegalBERT-lite

This model is a fine-tuned version of indobenchmark/indobert-base-p2 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.7597

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: 128
  • eval_batch_size: 128
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss
2.1802 1.0 5866 1.7617

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.0
  • Tokenizers 0.13.3