AmelieSchreiber
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license: mit
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---
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---
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license: mit
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datasets:
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- AmelieSchreiber/cafa5_pickle_split
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language:
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- en
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metrics:
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- accuracy
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- f1
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- precision
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- recall
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- roc_auc
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library_name: transformers
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tags:
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- esm
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- esm2
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- protein language model
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- biology
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- cafa5
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---
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# ESM-2 Pre-finetuned for CAFA-5 for Protein Function Prediction
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This model is a pre-finetuned for CAFA-5 protein function prediction for four epochs.
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This model is meant to be finetuned in a second stage of training with a Low Rank Adaptation.
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The training script for both the pre-finetuning and second stage finetuning with LoRA is
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[available here](https://huggingface.co/AmelieSchreiber/esm2_t6_8M_lora_cafa5/blob/main/cafa_5_finetune_v2.ipynb).
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This notebook allows you to pre-finetune the base model, and then use a LoRA for the second stage of training.
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Note, the second stage of training is a harder curriculum for the model as it uses class weights so that the
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model better captures the hierarchical (weighted) structure of the gene ontology (GO) terms that serve as
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the labels for the multilabel sequence classification task of predicting a protein's functions (GO terms).
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