esm2_t6_8M-lora-binding-sites_2024-07-02_09-26-54

This model is a fine-tuned version of facebook/esm2_t6_8M_UR50D on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.3706
• Accuracy: 0.8880
• Precision: 0.1563
• Recall: 0.7878
• F1: 0.2608
• Auc: 0.8392
• Mcc: 0.3192

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: 0.0005701568055793089
• train_batch_size: 12
• eval_batch_size: 12
• seed: 8893
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1	Auc	Mcc
0.2569	1.0	14485	0.3706	0.8880	0.1563	0.7878	0.2608	0.8392	0.3192

Framework versions

• PEFT 0.11.1
• Transformers 4.40.2
• Pytorch 2.3.1+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1