Legal Ai India Ner Results

🚀 legal_ai_India_ner_results

This model is a fine - tuned version of [nlpaueb/legal - bert - base - uncased](https://huggingface.co/nlpaueb/legal - bert - base - uncased) on the opennyaiorg/InLegalNER dataset, achieving high performance on evaluation metrics.

🚀 Quick Start

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

• Loss: 0.1057
• Precision: 0.8370
• Recall: 0.8742
• F1: 0.8552
• Accuracy: 0.9741

✨ Features

• Fine - Tuned: Based on the nlpaueb/legal - bert - base - uncased model, fine - tuned on the opennyaiorg/InLegalNER dataset.
• High Performance: Achieves good results on evaluation metrics such as precision, recall, F1, and accuracy.

🔧 Technical Details

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e - 05
• train_batch_size: 12
• eval_batch_size: 12
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon = 1e - 08 and optimizer_args = No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Framework versions

• Transformers 4.48.3
• Pytorch 2.5.1+cu124
• Datasets 3.3.2
• Tokenizers 0.21.0

📄 License

This model is licensed under cc - by - sa - 4.0.

📚 Documentation

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed