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esm2_t12_35M_lora_binding_sites_770K_v1
AmelieSchreiber/esm2_t12_35M_lora_binding_sites_770K_v1
esm2_t12_35M_lora_binding_sites_770K_v1 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.
Generalization capabilities based on this notebook are still lacking.
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At a glance
- Library
- peft
- License
- mit
- Access
- Public
- Created
- Sep 23, 2023
- Updated
- Sep 29, 2023
- SHA
- c9fc3d54
Model card
From the Hugging Face model README
Training procedure
Generalization capabilities based on this notebook are still lacking.
Test Metrics:
'eval_loss': 0.4365999102592468,
'eval_accuracy': 0.9420512498988455,
'eval_precision': 0.2294216317399737,
'eval_recall': 0.7584797572261781,
'eval_f1': 0.35228549223252686,
'eval_auc': 0.8522129916967822,
'eval_mcc': 0.39725936154292724,
The metrics on the train and test datasets from the paper mentioned in this notebook are:
Train metrics:
Average Accuracy: 0.9169
Average Precision: 0.1416
Average Recall: 0.2769
Average F1 Score: 0.1743
Average AUC: 0.6088
Average MCC: 0.1522
Test metrics:
Average Accuracy: 0.9199
Average Precision: 0.1307
Average Recall: 0.2750
Average F1 Score: 0.1677
Average AUC: 0.6081
Average MCC: 0.1474
Framework versions
- PEFT 0.5.0
- Library
- peft
- License
- mit
- Created
- Sep 23, 2023
- Updated
- Sep 29, 2023