data: dataset: seed: 9 max_num_res: 256 cache_num_res: 0 min_num_res: 0 subset: null samples_per_eval_length: 5 num_eval_lengths: 5 min_eval_length: 500 csv_path: class_preprocessed/metadata.csv loader: num_workers: 4 prefetch_factor: 10 sampler: max_batch_size: 100 max_num_res_squared: 500000 interpolant: min_t: 1e-2 rots: train_schedule: linear sample_schedule: exp exp_rate: 10 trans: train_schedule: linear sample_schedule: linear sampling: num_timesteps: 100 self_condition: ${model.edge_features.self_condition} model: node_embed_size: 128 edge_embed_size: 128 symmetric: false node_features: c_s: ${model.node_embed_size} c_pos_emb: 128 c_timestep_emb: 128 embed_diffuse_mask: false max_num_res: 2000 timestep_int: 1000 edge_features: single_bias_transition_n: 2 c_s: ${model.node_embed_size} c_p: ${model.edge_embed_size} relpos_k: 64 use_rbf: true num_rbf: 32 feat_dim: 64 num_bins: 22 self_condition: true ipa: c_s: ${model.node_embed_size} c_z: ${model.edge_embed_size} c_hidden: 128 no_heads: 8 no_qk_points: 8 no_v_points: 4 seq_tfmr_num_heads: 4 seq_tfmr_num_layers: 2 num_blocks: 6 experiment: debug: false seed: 123 #num_devices: 2 warm_start: null warm_start_cfg_override: true use_swa: false batch_ot: enabled: true cost: kabsch noise_per_sample: 1 permute: false training: min_plddt_mask: null loss: se3_vf_loss bb_atom_scale: 0.1 trans_scale: 0.1 translation_loss_weight: 2.0 t_normalize_clip: 0.9 rotation_loss_weights: 1.0 aux_loss_weight: 1.0 aux_loss_t_pass: 0.25 wandb: name: dnmt-test-unconditioned project: se3-fm save_code: true tags: [] optimizer: lr: 0.0001 trainer: overfit_batches: 0 min_epochs: 1 max_epochs: 300 accelerator: gpu log_every_n_steps: 1 deterministic: false #strategy: ddp check_val_every_n_epoch: 2 accumulate_grad_batches: 2 num_sanity_val_steps: 0 checkpointer: dirpath: ckpt/${experiment.wandb.project}/${experiment.wandb.name}/${now:%Y-%m-%d}_${now:%H-%M-%S} save_last: true save_top_k: 3 monitor: valid/non_coil_percent mode: max