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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
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