NeoBERT_druglib_regression_6ep_5e-06lr

• Loss: 0.9323
• Accuracy: 0.6284
• Macro Precision: 0.6396
• Macro Recall: 0.5598
• Macro F1: 0.5573

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

• learning_rate: 5e-06
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use adamw_torch 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: 0.2
• num_epochs: 6
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.47.0
• Pytorch 2.5.1+cu121
• Datasets 3.3.1
• Tokenizers 0.21.0