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  **PPPSL-ESM2**(PPPSL, Prediction of prokaryotic protein subcellular localization) is a protein language model fine-tuned from [**ESM2**](https://github.com/facebookresearch/esm) pretrained model [(***facebook/esm2_t36_3B_UR50D***)](https://huggingface.co/facebook/esm2_t36_3B_UR50D) on a prokaryotic protein subcellular localization dataset.
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  **PPPSL-ESM2** achieved the following results:
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- Train Loss: 0.0015
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- Train Accuracy: 0.9893
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- Validation Loss: 0.0184
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- Validation Accuracy: 0.9702
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  Epoch: 20
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  # The dataset for training **PPPSL-ESM2**
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  The full dataset contains 11,970 protein sequences, including Cellwall (87), Cytoplasmic (6,905), CYtoplasmic Membrane (2,567), Extracellular (1,085), Outer Membrane (758), and Periplasmic (568).
 
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  **PPPSL-ESM2**(PPPSL, Prediction of prokaryotic protein subcellular localization) is a protein language model fine-tuned from [**ESM2**](https://github.com/facebookresearch/esm) pretrained model [(***facebook/esm2_t36_3B_UR50D***)](https://huggingface.co/facebook/esm2_t36_3B_UR50D) on a prokaryotic protein subcellular localization dataset.
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  **PPPSL-ESM2** achieved the following results:
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+ Train Loss: 0.0148
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+ Train Accuracy: 0.9923
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+ Validation Loss: 0.0718
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+ Validation Accuracy: 0.9893
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  Epoch: 20
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  # The dataset for training **PPPSL-ESM2**
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  The full dataset contains 11,970 protein sequences, including Cellwall (87), Cytoplasmic (6,905), CYtoplasmic Membrane (2,567), Extracellular (1,085), Outer Membrane (758), and Periplasmic (568).