Pakistan-Legal-ChatBot

This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: nan
• Rouge1: 0.2365
• Rouge2: 0.0907
• Rougel: 0.1905
• Rougelsum: 0.1906

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: 0.0005
• 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
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
No log	1.0	245	nan	0.2365	0.0907	0.1905	0.1906
No log	2.0	490	nan	0.2365	0.0907	0.1905	0.1906
0.0	3.0	735	nan	0.2365	0.0907	0.1905	0.1906
0.0	4.0	980	nan	0.2365	0.0907	0.1905	0.1906
0.0	5.0	1225	nan	0.2365	0.0907	0.1905	0.1906

Framework versions

• PEFT 0.18.0
• Transformers 4.57.3
• Pytorch 2.9.0+cu126
• Datasets 4.0.0
• Tokenizers 0.22.2