Release KFold weights and matching inference configuration
Browse files- config.json +1 -0
- config.yaml +155 -0
- weights/kfold.pth +3 -0
config.json
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{}
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config.yaml
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# === Model Configuration === #
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channel_s: 384
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channel_z: 256
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dropout: 0.25
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diffusion_type: ecsi
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input_embedder:
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channel_s: 384
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channel_z: 256
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channel_atom: 128
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channel_atompair: 16
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atom_encoder_blocks: 3
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atom_encoder_heads: 4
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ckpt_atom_stack: false
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apo_module:
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channel_apo: 64
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channel_z: 256
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num_blocks: 2
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num_tri_heads: 4
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dropout: 0.1
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num_distogram_bins: 39
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min_dist: 3.25
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max_dist: 50.75
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blocks_per_ckpt: null
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protein_sequence_encoder:
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model_path: null
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cache_dir: null
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vocab_size: 64
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d_model: 2304
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n_heads: 36
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n_layers: 48
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protein_structure_encoder:
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model_path: null
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cache_dir: null
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d_model: 2560
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n_heads: 40
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n_layers: 33
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rna_sequence_encoder:
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model_path: null
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cache_dir: null
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vocab_size: 64
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d_model: 960
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n_heads: 15
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n_layers: 30
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use_moe: true
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trunk:
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num_lm_blocks: 4
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num_main_blocks: 48
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num_refine_blocks: 2
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dropout: 0.25
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blocks_per_ckpt: null
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parcae:
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state_init: trunc_normal
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decay_init: 0.4472135954999579
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score_model:
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channel_a: 1024
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channel_s: 384
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channel_z: 256
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channel_atom: 128
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channel_atompair: 16
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channel_coords: 6
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separate_endpoint_atom_encoder: true
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endpoint_branch_dropout: 0.0
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atom_encoder_blocks: 3
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atom_encoder_heads: 4
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token_transformer_blocks: 16
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token_transformer_heads: 16
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atom_decoder_blocks: 3
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atom_decoder_heads: 4
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blocks_per_ckpt: null
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ckpt_atom_stack: false
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diffusion_head:
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# ECSI preconditioning
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sigma_data: 16.0
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sigma_data_end: 27.0
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cov_xy: 175.0
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# ECSI coefficients
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time_min: 1e-8
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time_max: 0.9999
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gamma_max: 24.0
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gamma_power: 1.0
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eta: 1.0
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# Inference time schedule
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align_x_0_hat_to_x_t: true
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sampler_mode: sde
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sampler_ode_type: ecsi
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sampler_step_scale: 1.0
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sampler_switch_time: 0.1
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sampler_sde_atom_classes: [all]
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churn_factor: 0.1
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churn_max_multiplier: 4.0
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churn_end_time: 0.5
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churn_max_time: null
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churn_step_fraction: 0.4
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churn_step_power: 1.0
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ode_step_power: 2.0
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stepwarp_power: 0.5
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# Training time schedule
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train_time_schedule: logistic
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train_time_schedule_params: [-2.15, 2.25]
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train_x_0_perturb_time_min: 0.7
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train_x_0_perturb_prob: 0.0
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train_x_0_perturb_translation_std: 4.0
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distogram_head:
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channel_z: 256
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num_bins: 64
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min_dist: 2.0
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max_dist: 22.0
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confidence_head:
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channel_s: 384
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channel_z: 256
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num_heads_attn: 16
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num_blocks: 4
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dropout: 0.25
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num_bins: 39
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min_dist: 3.25
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max_dist: 50.75
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min_pae_dist: 0.0
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max_pae_dist: 32.0
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num_pae_bins: 64
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min_pde_dist: 0.0
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max_pde_dist: 32.0
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num_pde_bins: 64
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num_plddt_bins: 50
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blocks_per_ckpt: null
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patch_pair_geometry:
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enabled: true
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channel_z: 256
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num_bins: 64
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min_dist: 2.0
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max_dist: 22.0
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patch_size: 16
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max_patches_per_chain: 8
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max_patch_pairs: 256
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pool_max_tokens_per_patch: 16
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positive_cutoff: 12.0
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hard_negative_cutoff: 18.0
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# Training preconditioning
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diffusion_conditioning_drop_rate: 0.2
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confidence_conditioning_drop_rate: 0.2
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weights/kfold.pth
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:37f7f3b48b5f852c9b226786246f68a3a44635762ac6185a293b081b592f8c93
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size 1354761623
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