gpad-v2-full-taskB-smpl-1

• Loss: 1.6207
• Accuracy: 0.515
• F1 Macro: 0.0618
• F1 Weighted: 0.3501
• Precision Macro: 0.0468
• Recall Macro: 0.0909

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

• learning_rate: 2e-05
• train_batch_size: 8
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.38.2
• Pytorch 2.8.0+cu128
• Datasets 4.0.0
• Tokenizers 0.15.2