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Update yaml
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@@ -0,0 +1,31 @@
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{
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"angles_definitions": "canonical_angles_only",
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"shift_angles_zero_twopi": false,
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"zero_center": true,
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"noise_prior": "gaussian",
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"timesteps": 500,
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"variance_schedule": "linear",
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"variance_scale": 1.0,
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"time_encoding": "gaussian_fourier",
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"implementation": "huggingface_encoder",
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"position_embedding_type": "absolute",
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"num_hidden_layers": 12,
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"hidden_size": 384,
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"intermediate_size": 768,
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"num_heads": 12,
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"dropout_p": 0.1,
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"decoder": "mlp",
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"gradient_clip": 1.0,
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"lr": 5e-5,
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"loss": "smooth_l1",
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"l2_norm": 0.0,
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"l1_norm": 0.0,
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"circle_reg": 0.0,
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"lr_scheduler": "LinearWarmup",
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"min_epochs": 10000,
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"max_epochs": 10000,
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"early_stop_patience": 0,
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"use_swa": false,
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"batch_size": 64,
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"multithread": true
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}
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@@ -1,4 +1,4 @@
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description: CATH canonical angles with zero centering
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description: CATH canonical angles with zero centering and increased timesteps
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target:
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service: sing # Target service platform
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@@ -31,10 +31,10 @@ code:
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local_dir: $CONFIG_DIR/.. # elative to config file directory
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jobs:
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- name: cath_canonical_angles_linear_warmup_zero_centered # Unique name for each job
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- name: cath_canonical_angles_linear_warmup_zero_centered_500_steps # Unique name for each job
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sku: 16G4-V100 # 16G4-P100 = 16GB memory (these may be more free), 4 GPU P100 (16GB VRAM); G1 = any 1 GPU, 8C1 = 8 GB ram, 1 core; 80G1-A100 = A100 GPU, run amlt target list singularity -v
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priority: high
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sla_tier: premium
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command:
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- tar -xzf data/cath/cath-dataset-nonredundant-S40.pdb.tgz -C data/cath
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- python bin/train.py config_jsons/full_run_canonical_angles_only_zero_centered.json -o $$AMLT_OUTPUT_DIR/results
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- python bin/train.py config_jsons/full_run_canonical_angles_only_zero_centered_more_timesteps.json -o $$AMLT_OUTPUT_DIR/results
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