legal-led

This model is a fine-tuned version of nsi319/legal-led-base-16384 on the Mwnthai/bodo-legal-summary-data dataset. It achieves the following results on the evaluation set:

• Loss: 4.1035
• Accuracy: 0.1612

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
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use adamw_torch with betas=(0.9,0.98) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_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