Mwnthai/pretrained-bodo-legal-bert

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legal-bert

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

• —Loss: 4.3914
• —Accuracy: 0.1512

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: 0.0003
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Use adamwtorch with betas=(0.9,0.98) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 1000
• —num_epochs: 4.0

Training results

Framework versions

• —Transformers 4.48.3
• —Pytorch 2.0.1+cu117
• —Datasets 3.2.0
• —Tokenizers 0.21.0