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mc: yaml changes
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@@ -2,17 +2,18 @@
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# Training configuration for RFD3
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defaults:
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- /debug/default
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#- /debug/default
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- override /model: rfd3_base
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#- override /logger: wandb
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- override /logger: wandb
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- override /datasets: design_base_rfd3na
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- _self_
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name: rfd3na_scratch_clean_test
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tags: [print-model]
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#ckpt: null
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#ckpt_path: /net/scratch/raktim/training/logs/train/rfd3na-fine-tune/2026-02-17_15-21_JOB_3608285/ckpt/epoch-0590.ckpt
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#ckpt_path: /net/scratch/raktim/training/logs/train/rfd3na_scratch/2026-02-17_17-56_JOB_3620867/ckpt/epoch-0030.ckpt
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ckpt_path: /net/scratch/raktim/training/logs/train/rfd3na_scratch_clean_test/2026-02-19_01-58_JOB_3986244/ckpt/epoch-0180.ckpt
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model:
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@@ -58,7 +59,7 @@ datasets:
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max_atoms_in_crop: 2560 # ~10x crop size.
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global_transform_args:
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meta_conditioning_probabilities:
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p_is_nucleic_ss_example: 1.0
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p_is_nucleic_ss_example: 0.25
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p_nucleic_ss_show_partial_feats: 0.7
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p_canonical_bp_filter: 0.2
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#calculate_NA_SS: 0.3
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@@ -79,11 +80,11 @@ datasets:
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train:
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# These are the ratios used in the preprint but we set all pdb sampling by default since not everyone might download the distillation data.
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pdb:
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probability: 0.5
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probability: 0.6
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rna_monomer_distillation:
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probability: 0.3
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monomer_distillation:
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probability: 0.2
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probability: 0.1
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val:
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pseudoknot:
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@@ -8,9 +8,10 @@ defaults:
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- override /datasets: design_base_rfd3na
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- _self_
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name: rfd3na-fine-tune
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name: rfd3na-fine-tune-ss0.5
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tags: [print-model]
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ckpt_path: /projects/ml/aa_design/models/rfd3_latest_foundry.ckpt
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#ckpt_path: /projects/ml/aa_design/models/rfd3_latest_foundry.ckpt
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ckpt_path: /net/scratch/raktim/training/logs/train/rfd3na-fine-tune-ss0.5/2026-02-23_23-57_JOB_4717793/ckpt/epoch-0820.ckpt
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model:
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net:
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@@ -55,7 +56,7 @@ datasets:
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max_atoms_in_crop: 2560 # ~10x crop size.
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global_transform_args:
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meta_conditioning_probabilities:
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p_is_nucleic_ss_example: 0.25
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p_is_nucleic_ss_example: 0.5
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p_nucleic_ss_show_partial_feats: 0.7
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p_canonical_bp_filter: 0.2
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#calculate_NA_SS: 0.3
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@@ -76,11 +77,11 @@ datasets:
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train:
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# These are the ratios used in the preprint but we set all pdb sampling by default since not everyone might download the distillation data.
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pdb:
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probability: 0.5
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probability: 0.6
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rna_monomer_distillation:
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probability: 0.3
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monomer_distillation:
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probability: 0.2
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probability: 0.1
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val:
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pseudoknot:
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@@ -10,7 +10,8 @@ defaults:
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name: rfd3na_no_distill
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tags: [print-model]
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ckpt_path: /net/scratch/raktim/training/logs/train/rfd3na_no_distill/2026-02-17_15-21_JOB_3608348/ckpt/epoch-0020.ckpt
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#ckpt_path: null
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ckpt_path: /net/scratch/raktim/training/logs/train/rfd3na_no_distill/2026-02-19_02-16_JOB_3988845/ckpt/epoch-0170.ckpt
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model:
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net:
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@@ -76,9 +77,9 @@ datasets:
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train:
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# These are the ratios used in the preprint but we set all pdb sampling by default since not everyone might download the distillation data.
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pdb:
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probability: 0.6
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probability: 0.7
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rna_monomer_distillation:
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probability: 0.4
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probability: 0.3
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monomer_distillation:
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probability: 0.0
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