indian-legal-model

This model is a fine-tuned version of law-ai/InLegalBERT on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.4278
• Accuracy: 0.0
• F1: 0.0

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	1	2.6339	0.0	0.0
No log	2.0	2	2.5504	0.0	0.0
No log	3.0	3	2.4888	0.0	0.0
No log	4.0	4	2.4510	0.0	0.0
No log	5.0	5	2.4278	0.0	0.0

Framework versions

• Transformers 5.5.0
• Pytorch 2.11.0+cu130
• Datasets 4.0.0
• Tokenizers 0.22.2