DaInternet12/bert_affinity_pred

results

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

• Loss: 0.6862
• Mse: 0.6862
• Mae: 0.6459

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: 1e-06
• weight_decay: 3e-5
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use lamb_torch 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	Mse	Mae
0.4487	1.1416	500	0.7357	0.7357	0.6692
0.7676	2.2831	1000	0.7138	0.7138	0.6618
0.7356	3.4247	1500	0.6736	0.6736	0.6426
0.5261	4.5662	2000	0.6592	0.6592	0.6393

Framework versions

• Transformers 4.47.1
• Pytorch 2.5.1+cu121
• Datasets 3.2.0
• Tokenizers 0.21.0