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esm2_t12_35M_qlora_binding_sites_v0
AmelieSchreiber/esm2_t12_35M_qlora_binding_sites_v0
esm2_t12_35M_qlora_binding_sites_v0 is a machine learning model from AmelieSchreiber. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as mit.
The metrics on the PDB datasets from this paper can be found here.
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At a glance
- Library
- peft
- License
- mit
- Access
- Public
- Created
- Sep 29, 2023
- Updated
- Sep 29, 2023
- SHA
- 034b0ba3
Model card
From the Hugging Face model README
ESM-2 QLoRA for Predicting Binding Sites
QLoRA Info
trainable params: 208322 || all params: 17382365 || trainable%: 1.198467527289871
Testing for Overfitting
Train metrics:
{'eval_loss': 0.09572703391313553,
'eval_accuracy': 0.9670769479865963,
'eval_precision': 0.3970221190232079,
'eval_recall': 0.9411011487595375,
'eval_f1': 0.5584507515735834,
'eval_auc': 0.9543828770020467,
'eval_mcc': 0.5996252550053665}
Test metrics:
{'eval_loss': 0.1680256575345993,
'eval_accuracy': 0.943313091525589,
'eval_precision': 0.2342637814982173,
'eval_recall': 0.7618306193745306,
'eval_f1': 0.35833816875074714,
'eval_auc': 0.8544971814140561,
'eval_mcc': 0.40290081143832884}
The metrics on the PDB datasets from this paper can be found here.
- Library
- peft
- License
- mit
- Languages
- en
- Created
- Sep 29, 2023
- Updated
- Sep 29, 2023