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README.md

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 license: apache-2.0
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+Mirror of OpenFold parameters as provided in https://github.com/aqlaboratory/openfold. Stopgap solution as the original download link was down. All rights to the authors.
+
+OpenFold model parameters, v. 06_22. 
+
+# Training details:
+
+Trained using OpenFold on 44 A100s using the training schedule from Table 4 in
+the AlphaFold supplement. AlphaFold was used as the pre-distillation model. 
+Training data is hosted publicly in the "OpenFold Training Data" RODA repository.
+
+# Parameter files:
+
+Parameter files fall into the following categories:
+
+    initial_training.pt: 
+        OpenFold at the end of the initial training phase.
+    finetuning_x.pt:
+        Checkpoints in chronological order corresponding to peaks in the 
+        validation LDDT-Ca during the finetuning phase. Roughly evenly spaced 
+        across the 45 finetuning epochs.
+    finetuning_ptm_x.pt:
+        Checkpoints in chronological order corresponding to peaks inthe pTM
+        training phase, a short additional training phase that takes place 
+        after finetuning. Models in this category include the pTM module and 
+        comprise the most recent of the checkpoints in this directory.
+    
+Average validation LDDT-Ca scores for each of the checkpoints are listed below. 
+The validation set contains approximately 180 chains drawn from CAMEO over a 
+three-month period at the end of 2021.
+
+    initial_training: 0.9088
+    finetuning_ptm_1: 0.9075
+    finetuning_ptm_2: 0.9097
+    finetuning_1: 0.9089
+    finetuning_2: 0.9061
+    finetuning_3: 0.9075
+    finetuning_4: 0.9059
+    finetuning_5: 0.9054