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README.md

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+# AptaTrans finetuned checkpoint
+
+- `pytorch_model.bin`: AptaTrans nn.Module state_dict (keys match pyaptamer AptaTrans)
+- `aptatrans_config.json`: architecture+vocab config to reconstruct the model
+- `lightning_last.ckpt`: original Lightning checkpoint (for debugging/resume)

aptatrans_config.json

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+{
+  "n_apta_vocabs": 127,
+  "n_apta_target_vocabs": 344,
+  "apta_max_len": 275,
+  "n_prot_vocabs": 715,
+  "n_prot_target_vocabs": 585,
+  "prot_max_len": 867,
+  "in_dim": 128,
+  "n_encoder_layers": 6,
+  "n_heads": 8,
+  "conv_layers": [
+    3,
+    3,
+    3
+  ],
+  "dropout": 0.1
+}

aptatrans_ft_pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f98415ee1e8a31a9c861e975d248ec200c9527324f3c8713c22af776e037bfb4
+size 25684159

lightning_last.ckpt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a6aa36c4a1e103154b26e7cbc92c53eb173ad18c5c4d52f1098ec987369c8890
+size 74022321