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README.md
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pipeline_tag: text-classification
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# Model descriptions
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PPPSL-ESM2(PPPSL, Prediction of prokaryotic protein subcellular localization) is a protein language model fine-tuned from ESM2 pretrained model [facebook/esm2_t36_3B_UR50D](https://huggingface.co/facebook/esm2_t36_3B_UR50D) on a prokaryotic protein subcellular localization dataset. It achieves the following results on the evaluation set:
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Train Loss: 0.0012
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Train Accuracy: 0.9972
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pipeline_tag: text-classification
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# Model descriptions
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In biology, "targeting peptides" typically refer to "targeting signal peptides" or "targeting sequences," also known as "signal peptides" or "signal sequences." These are short amino acid sequences located at the N-terminal or C-terminal of a protein that direct the protein to specific locations within the cell, such as the mitochondria, chloroplasts, plastids, endoplasmic reticulum, and more. Targeting peptides play a crucial signaling role during protein synthesis, ensuring that the protein is correctly localized to its intended cellular destination.
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PPPSL-ESM2(PPPSL, Prediction of prokaryotic protein subcellular localization) is a protein language model fine-tuned from ESM2 pretrained model [facebook/esm2_t36_3B_UR50D](https://huggingface.co/facebook/esm2_t36_3B_UR50D) on a prokaryotic protein subcellular localization dataset. It achieves the following results on the evaluation set:
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Train Loss: 0.0012
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Train Accuracy: 0.9972
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