Edit model card

esm2_t12_35M_qlora_glycosylation_sites_2024-02-14_21-47-37

This model is a fine-tuned version of facebook/esm2_t12_35M_UR50D on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0108
  • Accuracy: 0.9990
  • Precision: 0.3291
  • Recall: 0.9951
  • F1: 0.4946
  • Auc: 0.9970
  • Mcc: 0.5720

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: 0.0003701568055793089
  • train_batch_size: 36
  • eval_batch_size: 36
  • 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
0.0125 1.0 16521 0.0108 0.9990 0.3291 0.9951 0.4946 0.9970 0.5720

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.17.0
  • Tokenizers 0.15.1
Downloads last month

-

Downloads are not tracked for this model. How to track
Inference API
Unable to determine this model's library. Check the docs .

Model tree for nidhinthomas/esm2_t12_35M_qlora_glycosylation_sites_2024-02-14_21-47-37

Finetuned
(36)
this model