sasuface/esm2-t6-8M-lora-256-remote-homology-filtered

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

esm2-t6-8M-lora-256-remote-homology-filtered

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: 0.5982
• —Precision: 0.6901
• —Recall: 0.6529
• —F1-score: 0.6709
• —Accuracy: 0.6788

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: 3e-05
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 5
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —PEFT 0.11.1
• —Transformers 4.39.3
• —Pytorch 2.1.2
• —Datasets 2.18.0
• —Tokenizers 0.15.2