legal-dataset

This model is a fine-tuned version of ai4bharat/indictrans2-en-indic-dist-200M on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.3157

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: 3e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.8361	1.0661	500	0.3789
0.3623	2.1322	1000	0.3157

Framework versions

• Transformers 4.43.3
• Pytorch 2.10.0+cu128
• Datasets 4.8.3
• Tokenizers 0.19.1