20260503T032943Z-legal_extraction_v2-baseline-2b-3k-01243689

• Loss: 0.1289

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

• learning_rate: 0.0001
• train_batch_size: 4
• eval_batch_size: 4
• seed: 14
• gradient_accumulation_steps: 8
• total_train_batch_size: 32
• 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
• lr_scheduler_warmup_ratio: 0.03
• num_epochs: 3

Training results

Framework versions

• PEFT 0.17.1
• Transformers 4.57.0
• Pytorch 2.11.0a0+eb65b36914.nv26.02
• Datasets 4.1.1
• Tokenizers 0.22.2