Archive complete JEPA reproduction artifacts (part 12)
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- .gitattributes +4 -0
- JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/logs/q6-gpu3-delay60-kl1e-7.exit_code +1 -0
- JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/logs/q6-gpu3-delay60-kl1e-7.log +0 -0
- JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/logs/q7-gpu3-delay30-kl5e-8.exit_code +1 -0
- JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/logs/q7-gpu3-delay30-kl5e-8.log +0 -0
- JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q0-gpu2-delay50-kl3e-8/pretrain/paper_alignment_manifest.json +247 -0
- JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q0-gpu2-delay50-kl3e-8/pretrain/wjepa_joint/covertype/20260918_032422/downstream_results/autoint_covertype_downstream_results.json +568 -0
- JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q0-gpu2-delay50-kl3e-8/pretrain/wjepa_joint/covertype/20260918_032422/downstream_results/dcnv2_covertype_downstream_results.json +567 -0
- JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q0-gpu2-delay50-kl3e-8/pretrain/wjepa_joint/covertype/20260918_032422/downstream_results/fttransformer_covertype_downstream_results.json +567 -0
- JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q0-gpu2-delay50-kl3e-8/pretrain/wjepa_joint/covertype/20260918_032422/downstream_results/mlp_covertype_downstream_results.json +563 -0
- JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q0-gpu2-delay50-kl3e-8/pretrain/wjepa_joint/covertype/20260918_032422/downstream_results/resnet_covertype_downstream_results.json +566 -0
- JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q0-gpu2-delay50-kl3e-8/pretrain/wjepa_joint/covertype/20260918_032422/embedding.npy +3 -0
- JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q0-gpu2-delay50-kl3e-8/pretrain/wjepa_joint/covertype/20260918_032422/uncertainty.npy +3 -0
- JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q0-gpu2-delay50-kl3e-8/pretrain/wjepa_joint/covertype/20260918_032422/vtjepa_best_model.pth +3 -0
- JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q0-gpu2-delay50-kl3e-8/pretrain/wjepa_joint/covertype/20260918_032422/vtjepa_config.yaml +131 -0
- JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q1-gpu2-delay50-kl7e-8/pretrain/paper_alignment_manifest.json +247 -0
- JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q1-gpu2-delay50-kl7e-8/pretrain/wjepa_joint/covertype/20260918_032445/downstream_results/autoint_covertype_downstream_results.json +568 -0
- JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q1-gpu2-delay50-kl7e-8/pretrain/wjepa_joint/covertype/20260918_032445/downstream_results/dcnv2_covertype_downstream_results.json +567 -0
- JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q1-gpu2-delay50-kl7e-8/pretrain/wjepa_joint/covertype/20260918_032445/downstream_results/fttransformer_covertype_downstream_results.json +567 -0
- JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q1-gpu2-delay50-kl7e-8/pretrain/wjepa_joint/covertype/20260918_032445/downstream_results/mlp_covertype_downstream_results.json +563 -0
- JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q1-gpu2-delay50-kl7e-8/pretrain/wjepa_joint/covertype/20260918_032445/downstream_results/resnet_covertype_downstream_results.json +566 -0
- JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q1-gpu2-delay50-kl7e-8/pretrain/wjepa_joint/covertype/20260918_032445/embedding.npy +3 -0
- JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q1-gpu2-delay50-kl7e-8/pretrain/wjepa_joint/covertype/20260918_032445/uncertainty.npy +3 -0
- JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q1-gpu2-delay50-kl7e-8/pretrain/wjepa_joint/covertype/20260918_032445/vtjepa_best_model.pth +3 -0
- JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q1-gpu2-delay50-kl7e-8/pretrain/wjepa_joint/covertype/20260918_032445/vtjepa_config.yaml +131 -0
- JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q2-gpu2-delay50-kl1e-7/pretrain/paper_alignment_manifest.json +247 -0
- JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q2-gpu2-delay50-kl1e-7/pretrain/wjepa_joint/covertype/20260918_032511/downstream_results/autoint_covertype_downstream_results.json +568 -0
- JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q2-gpu2-delay50-kl1e-7/pretrain/wjepa_joint/covertype/20260918_032511/downstream_results/dcnv2_covertype_downstream_results.json +567 -0
- JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q2-gpu2-delay50-kl1e-7/pretrain/wjepa_joint/covertype/20260918_032511/downstream_results/fttransformer_covertype_downstream_results.json +567 -0
- JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q2-gpu2-delay50-kl1e-7/pretrain/wjepa_joint/covertype/20260918_032511/downstream_results/mlp_covertype_downstream_results.json +563 -0
- JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q2-gpu2-delay50-kl1e-7/pretrain/wjepa_joint/covertype/20260918_032511/downstream_results/resnet_covertype_downstream_results.json +566 -0
- JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q2-gpu2-delay50-kl1e-7/pretrain/wjepa_joint/covertype/20260918_032511/embedding.npy +3 -0
- JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q2-gpu2-delay50-kl1e-7/pretrain/wjepa_joint/covertype/20260918_032511/uncertainty.npy +3 -0
- JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q2-gpu2-delay50-kl1e-7/pretrain/wjepa_joint/covertype/20260918_032511/vtjepa_best_model.pth +3 -0
- JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q2-gpu2-delay50-kl1e-7/pretrain/wjepa_joint/covertype/20260918_032511/vtjepa_config.yaml +131 -0
- JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q3-gpu2-delay40-kl5e-8/pretrain/paper_alignment_manifest.json +247 -0
- JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q3-gpu2-delay40-kl5e-8/pretrain/wjepa_joint/covertype/20260918_032539/downstream_results/autoint_covertype_downstream_results.json +568 -0
- JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q3-gpu2-delay40-kl5e-8/pretrain/wjepa_joint/covertype/20260918_032539/downstream_results/dcnv2_covertype_downstream_results.json +567 -0
- JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q3-gpu2-delay40-kl5e-8/pretrain/wjepa_joint/covertype/20260918_032539/downstream_results/fttransformer_covertype_downstream_results.json +567 -0
- JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q3-gpu2-delay40-kl5e-8/pretrain/wjepa_joint/covertype/20260918_032539/downstream_results/mlp_covertype_downstream_results.json +563 -0
- JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q3-gpu2-delay40-kl5e-8/pretrain/wjepa_joint/covertype/20260918_032539/downstream_results/resnet_covertype_downstream_results.json +566 -0
- JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q3-gpu2-delay40-kl5e-8/pretrain/wjepa_joint/covertype/20260918_032539/embedding.npy +3 -0
- JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q3-gpu2-delay40-kl5e-8/pretrain/wjepa_joint/covertype/20260918_032539/uncertainty.npy +3 -0
- JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q3-gpu2-delay40-kl5e-8/pretrain/wjepa_joint/covertype/20260918_032539/vtjepa_best_model.pth +3 -0
- JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q3-gpu2-delay40-kl5e-8/pretrain/wjepa_joint/covertype/20260918_032539/vtjepa_config.yaml +131 -0
- JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q4-gpu3-delay60-kl3e-8/pretrain/paper_alignment_manifest.json +247 -0
- JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q4-gpu3-delay60-kl3e-8/pretrain/wjepa_joint/covertype/20260918_032422/downstream_results/autoint_covertype_downstream_results.json +568 -0
- JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q4-gpu3-delay60-kl3e-8/pretrain/wjepa_joint/covertype/20260918_032422/downstream_results/dcnv2_covertype_downstream_results.json +567 -0
- JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q4-gpu3-delay60-kl3e-8/pretrain/wjepa_joint/covertype/20260918_032422/downstream_results/fttransformer_covertype_downstream_results.json +567 -0
- JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q4-gpu3-delay60-kl3e-8/pretrain/wjepa_joint/covertype/20260918_032422/downstream_results/mlp_covertype_downstream_results.json +563 -0
.gitattributes
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{
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"code_variant": "paper-aligned-v5-flattened-block-pooled-sw",
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"upstream_commit": "eba7a9b1e01bb6613f4968b0f460d1bd1ae409ef",
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"source_sha256": {
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"src/encoder.py": "c29e003ed6a59e239cfe5cbc6823817fed99c54bfa2f4ffa94bc9ea8eb6f777c",
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"src/mask.py": "e7f57ec6d07cbc6a2d9bc3ef8b48dbaeae8279ecb676b0425226675cbf42c437",
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"src/run_vtjepa.py": "2f44128407503aee95afb939be1faeed557de3124783e7d116a50f53eaf20dc2",
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"src/train_vtjepa.py": "60011dfabb086ae93bb0bb56db2057ca9c1009f2d7fb1a13fcbddb212fbbb1f5",
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| 9 |
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"src/vtjepa.py": "b8eee4631a2599941fc2db8b4cc17c3f383722749838b9bc7e0267e77537cf6e",
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| 10 |
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"src/d_jepa.py": "f0d9b1f435f6d76aebd72f06e48fa255fa37b7c1ebb3906a78502c5e08774866",
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| 11 |
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"src/jepa_model.py": "69f08f390513d6f90566dcb6ea79743143bdaa46020493582f47b4d5cb278927",
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| 12 |
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"src/vtjepa_configs.py": "6f549d93958ab1affbd2c77d8a8ce98e02e4150e008e9989bbcc31323e709a76",
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"src/downstream_pipeline.py": "13e4032713b8fddde763d5310cef40aaf98aeb2dde43d5b2a234cb2f4a60edc5",
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| 14 |
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"src/sliced_wasserstein.py": "2577a99ea0e5c7c2239cd1670ca9d1833f0fd87b9c11754264afd07a33b13053"
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| 15 |
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},
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"dataset": "covertype",
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"objective": "w_jepa_joint",
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| 18 |
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"latent_architecture": "stochastic",
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| 19 |
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"model_selection": "filtered_20",
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"seeds": {
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"torch": 42,
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"numpy": 42,
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"mask": 0,
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| 24 |
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"sliced_wasserstein": 0
|
| 25 |
+
},
|
| 26 |
+
"smoke": false,
|
| 27 |
+
"sw_include_marginals": true,
|
| 28 |
+
"sw_full_num_projections": 2048,
|
| 29 |
+
"sw_marginal_num_projections": 1024,
|
| 30 |
+
"sw_component_weights": {
|
| 31 |
+
"full": 0.001875,
|
| 32 |
+
"s_x": 0.00075,
|
| 33 |
+
"z": 7.5e-05,
|
| 34 |
+
"s_y": 7.5e-05
|
| 35 |
+
},
|
| 36 |
+
"predictive_kl": {
|
| 37 |
+
"enabled": true,
|
| 38 |
+
"direction": "q_target_posterior_to_p_predictor",
|
| 39 |
+
"start_weight": 0.0,
|
| 40 |
+
"end_weight": 3e-08,
|
| 41 |
+
"start_epoch": 50,
|
| 42 |
+
"annealing_epochs": 50
|
| 43 |
+
},
|
| 44 |
+
"sw_annealing_schedule": {
|
| 45 |
+
"full": {
|
| 46 |
+
"start_epoch": 1,
|
| 47 |
+
"annealing_epochs": 60
|
| 48 |
+
},
|
| 49 |
+
"s_x": {
|
| 50 |
+
"start_epoch": 0,
|
| 51 |
+
"annealing_epochs": 30
|
| 52 |
+
},
|
| 53 |
+
"z": {
|
| 54 |
+
"start_epoch": 0,
|
| 55 |
+
"annealing_epochs": 30
|
| 56 |
+
},
|
| 57 |
+
"s_y": {
|
| 58 |
+
"start_epoch": 0,
|
| 59 |
+
"annealing_epochs": 30
|
| 60 |
+
}
|
| 61 |
+
},
|
| 62 |
+
"command": [
|
| 63 |
+
"/pfss/mlde/workspaces/mlde_wsp_MGPATH/truong/JEPA/.venv/bin/python",
|
| 64 |
+
"-W",
|
| 65 |
+
"ignore",
|
| 66 |
+
"-m",
|
| 67 |
+
"src.run_vtjepa",
|
| 68 |
+
"--data_set",
|
| 69 |
+
"covertype",
|
| 70 |
+
"--data_path",
|
| 71 |
+
"/pfss/mlde/workspaces/mlde_wsp_MGPATH/truong/JEPA/baselines/Var-T-JEPA/datasets/subset_views/size_10000",
|
| 72 |
+
"--batch_size",
|
| 73 |
+
"512",
|
| 74 |
+
"--model_dim_hidden",
|
| 75 |
+
"64",
|
| 76 |
+
"--model_dim_feedforward",
|
| 77 |
+
"64",
|
| 78 |
+
"--model_num_layers",
|
| 79 |
+
"8",
|
| 80 |
+
"--model_num_heads",
|
| 81 |
+
"8",
|
| 82 |
+
"--model_dropout_prob",
|
| 83 |
+
"0.0015",
|
| 84 |
+
"--model_feature_index_embedding",
|
| 85 |
+
"true",
|
| 86 |
+
"--model_feature_type_embedding",
|
| 87 |
+
"true",
|
| 88 |
+
"--exp_train_total_epochs",
|
| 89 |
+
"500",
|
| 90 |
+
"--init_type",
|
| 91 |
+
"trunc_normal",
|
| 92 |
+
"--pre_evaluation",
|
| 93 |
+
"true",
|
| 94 |
+
"--pin_memory",
|
| 95 |
+
"false",
|
| 96 |
+
"--mask_min_ctx_share",
|
| 97 |
+
"0.15",
|
| 98 |
+
"--mask_max_ctx_share",
|
| 99 |
+
"0.35",
|
| 100 |
+
"--mask_min_trgt_share",
|
| 101 |
+
"0.15",
|
| 102 |
+
"--mask_max_trgt_share",
|
| 103 |
+
"0.6",
|
| 104 |
+
"--mask_num_preds",
|
| 105 |
+
"4",
|
| 106 |
+
"--pred_num_layers",
|
| 107 |
+
"16",
|
| 108 |
+
"--pred_embed_dim",
|
| 109 |
+
"16",
|
| 110 |
+
"--pred_num_heads",
|
| 111 |
+
"4",
|
| 112 |
+
"--pred_p_dropout",
|
| 113 |
+
"0.002",
|
| 114 |
+
"--pred_dim_feedforward",
|
| 115 |
+
"256",
|
| 116 |
+
"--pred_type",
|
| 117 |
+
"transformer",
|
| 118 |
+
"--probe_model",
|
| 119 |
+
"linear_probe",
|
| 120 |
+
"--probe_cadence",
|
| 121 |
+
"2",
|
| 122 |
+
"--probe_representation_type",
|
| 123 |
+
"mean",
|
| 124 |
+
"--probe_encoder_type",
|
| 125 |
+
"target_posterior",
|
| 126 |
+
"--downstream_evaluation_epochs",
|
| 127 |
+
"50",
|
| 128 |
+
"--downstream_probe_patience",
|
| 129 |
+
"20",
|
| 130 |
+
"--exp_final_lr",
|
| 131 |
+
"0.0",
|
| 132 |
+
"--exp_final_weight_decay",
|
| 133 |
+
"0.0",
|
| 134 |
+
"--exp_start_lr",
|
| 135 |
+
"0.0",
|
| 136 |
+
"--exp_patience",
|
| 137 |
+
"25",
|
| 138 |
+
"--exp_weight_decay",
|
| 139 |
+
"0.0",
|
| 140 |
+
"--exp_lr",
|
| 141 |
+
"0.0005",
|
| 142 |
+
"--exp_warmup",
|
| 143 |
+
"12",
|
| 144 |
+
"--log_tensorboard",
|
| 145 |
+
"false",
|
| 146 |
+
"--n_cls_tokens",
|
| 147 |
+
"1",
|
| 148 |
+
"--vtjepa_kl_x_start_weight",
|
| 149 |
+
"0",
|
| 150 |
+
"--vtjepa_kl_x_end_weight",
|
| 151 |
+
"1e-06",
|
| 152 |
+
"--vtjepa_kl_x_annealing_epochs",
|
| 153 |
+
"60",
|
| 154 |
+
"--vtjepa_kl_z_start_weight",
|
| 155 |
+
"0",
|
| 156 |
+
"--vtjepa_kl_z_end_weight",
|
| 157 |
+
"1e-05",
|
| 158 |
+
"--vtjepa_kl_z_annealing_epochs",
|
| 159 |
+
"60",
|
| 160 |
+
"--vtjepa_kl_y_start_weight",
|
| 161 |
+
"0.0",
|
| 162 |
+
"--vtjepa_kl_y_end_weight",
|
| 163 |
+
"3e-08",
|
| 164 |
+
"--vtjepa_kl_y_annealing_epochs",
|
| 165 |
+
"50",
|
| 166 |
+
"--vtjepa_kl_x_start_epoch",
|
| 167 |
+
"1",
|
| 168 |
+
"--vtjepa_kl_z_start_epoch",
|
| 169 |
+
"1",
|
| 170 |
+
"--vtjepa_kl_y_start_epoch",
|
| 171 |
+
"50",
|
| 172 |
+
"--recon_x_weight",
|
| 173 |
+
"0.001",
|
| 174 |
+
"--recon_y_weight",
|
| 175 |
+
"0.5",
|
| 176 |
+
"--mu_init_std",
|
| 177 |
+
"0.03",
|
| 178 |
+
"--logvar_init_std",
|
| 179 |
+
"0.005",
|
| 180 |
+
"--logvar_init_bias",
|
| 181 |
+
"-4.0",
|
| 182 |
+
"--log_sigma_x_init",
|
| 183 |
+
"-2.0",
|
| 184 |
+
"--log_sigma_y_init",
|
| 185 |
+
"-2.0",
|
| 186 |
+
"--pooled_context_representation_size_for_target_posterior",
|
| 187 |
+
"1",
|
| 188 |
+
"--pooled_context_representation_size_for_auxiliary_encoder",
|
| 189 |
+
"1",
|
| 190 |
+
"--sigma_aggregation",
|
| 191 |
+
"mean",
|
| 192 |
+
"--model_selection",
|
| 193 |
+
"filtered_20",
|
| 194 |
+
"--jepa_objective",
|
| 195 |
+
"w_jepa_joint",
|
| 196 |
+
"--latent_architecture",
|
| 197 |
+
"stochastic",
|
| 198 |
+
"--wjepa_joint_start_weight",
|
| 199 |
+
"0.0",
|
| 200 |
+
"--wjepa_joint_end_weight",
|
| 201 |
+
"0.001875",
|
| 202 |
+
"--wjepa_joint_start_epoch",
|
| 203 |
+
"1",
|
| 204 |
+
"--wjepa_joint_annealing_epochs",
|
| 205 |
+
"60",
|
| 206 |
+
"--wjepa_s_x_start_epoch",
|
| 207 |
+
"0",
|
| 208 |
+
"--wjepa_s_x_annealing_epochs",
|
| 209 |
+
"30",
|
| 210 |
+
"--wjepa_z_start_epoch",
|
| 211 |
+
"0",
|
| 212 |
+
"--wjepa_z_annealing_epochs",
|
| 213 |
+
"30",
|
| 214 |
+
"--wjepa_s_y_start_epoch",
|
| 215 |
+
"0",
|
| 216 |
+
"--wjepa_s_y_annealing_epochs",
|
| 217 |
+
"30",
|
| 218 |
+
"--sw_full_num_projections",
|
| 219 |
+
"2048",
|
| 220 |
+
"--sw_marginal_num_projections",
|
| 221 |
+
"1024",
|
| 222 |
+
"--sw_p",
|
| 223 |
+
"2",
|
| 224 |
+
"--sw_include_marginals",
|
| 225 |
+
"true",
|
| 226 |
+
"--sw_s_x_weight",
|
| 227 |
+
"0.00075",
|
| 228 |
+
"--sw_z_weight",
|
| 229 |
+
"7.5e-05",
|
| 230 |
+
"--sw_s_y_weight",
|
| 231 |
+
"7.5e-05",
|
| 232 |
+
"--torch_seed",
|
| 233 |
+
"42",
|
| 234 |
+
"--np_seed",
|
| 235 |
+
"42",
|
| 236 |
+
"--mask_seed",
|
| 237 |
+
"0",
|
| 238 |
+
"--sw_seed",
|
| 239 |
+
"0",
|
| 240 |
+
"--deterministic_mode",
|
| 241 |
+
"warn",
|
| 242 |
+
"--random",
|
| 243 |
+
"false",
|
| 244 |
+
"--safe_exit",
|
| 245 |
+
"false"
|
| 246 |
+
]
|
| 247 |
+
}
|
JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q0-gpu2-delay50-kl3e-8/pretrain/wjepa_joint/covertype/20260918_032422/downstream_results/autoint_covertype_downstream_results.json
ADDED
|
@@ -0,0 +1,568 @@
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|
JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q0-gpu2-delay50-kl3e-8/pretrain/wjepa_joint/covertype/20260918_032422/downstream_results/dcnv2_covertype_downstream_results.json
ADDED
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|
| 1 |
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| 2 |
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| 3 |
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|
JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q0-gpu2-delay50-kl3e-8/pretrain/wjepa_joint/covertype/20260918_032422/downstream_results/fttransformer_covertype_downstream_results.json
ADDED
|
@@ -0,0 +1,567 @@
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|
| 1 |
+
{
|
| 2 |
+
"dataset": "covertype",
|
| 3 |
+
"model": "fttransformer",
|
| 4 |
+
"config": {
|
| 5 |
+
"script_path": "src/run_benchmark.py",
|
| 6 |
+
"folder_name": "/tmp/tmpmgt2xerl",
|
| 7 |
+
"data_path": "/pfss/mlde/workspaces/mlde_wsp_MGPATH/truong/JEPA/baselines/Var-T-JEPA/datasets/subset_views/size_10000",
|
| 8 |
+
"data_set": "covertype",
|
| 9 |
+
"model_name": "fttransformer",
|
| 10 |
+
"using_embedding": true,
|
| 11 |
+
"emb_train": "/pfss/mlde/workspaces/mlde_wsp_MGPATH/truong/JEPA/reproduction/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q0-gpu2-delay50-kl3e-8/pretrain/wjepa_joint/covertype/20260918_032422/embedding.npy",
|
| 12 |
+
"emb_test": "/pfss/mlde/workspaces/mlde_wsp_MGPATH/truong/JEPA/reproduction/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q0-gpu2-delay50-kl3e-8/pretrain/wjepa_joint/covertype/20260918_032422/embedding.npy",
|
| 13 |
+
"use_split_assignments": true,
|
| 14 |
+
"exp_train_total_epochs": 50,
|
| 15 |
+
"split_config_file": "/tmp/tmpmgt2xerl/split_data/split_config.json",
|
| 16 |
+
"sigma_aggregation": "mean",
|
| 17 |
+
"lr": 0.001,
|
| 18 |
+
"weight_decay": 0.01,
|
| 19 |
+
"batch_size": 128,
|
| 20 |
+
"exp_patience": 16,
|
| 21 |
+
"encoder_type": "linear_flatten",
|
| 22 |
+
"n_blocks": 3,
|
| 23 |
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"d_block": 128,
|
| 24 |
+
"attention_n_heads": 4,
|
| 25 |
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"attention_dropout": 0.1,
|
| 26 |
+
"ffn_d_hidden_multiplier": 2.0,
|
| 27 |
+
"ffn_dropout": 0.1,
|
| 28 |
+
"residual_dropout": 0.0,
|
| 29 |
+
"filter_uncertainty": true,
|
| 30 |
+
"uncertainty_test": "/pfss/mlde/workspaces/mlde_wsp_MGPATH/truong/JEPA/reproduction/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q0-gpu2-delay50-kl3e-8/pretrain/wjepa_joint/covertype/20260918_032422/uncertainty.npy"
|
| 31 |
+
},
|
| 32 |
+
"runs": [
|
| 33 |
+
{
|
| 34 |
+
"seed": 0,
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|
JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q0-gpu2-delay50-kl3e-8/pretrain/wjepa_joint/covertype/20260918_032422/downstream_results/mlp_covertype_downstream_results.json
ADDED
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JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q0-gpu2-delay50-kl3e-8/pretrain/wjepa_joint/covertype/20260918_032422/downstream_results/resnet_covertype_downstream_results.json
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|
| 1 |
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| 2 |
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| 3 |
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| 566 |
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JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q0-gpu2-delay50-kl3e-8/pretrain/wjepa_joint/covertype/20260918_032422/embedding.npy
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version https://git-lfs.github.com/spec/v1
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size 138240128
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JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q0-gpu2-delay50-kl3e-8/pretrain/wjepa_joint/covertype/20260918_032422/uncertainty.npy
ADDED
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version https://git-lfs.github.com/spec/v1
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JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q0-gpu2-delay50-kl3e-8/pretrain/wjepa_joint/covertype/20260918_032422/vtjepa_best_model.pth
ADDED
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version https://git-lfs.github.com/spec/v1
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JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q0-gpu2-delay50-kl3e-8/pretrain/wjepa_joint/covertype/20260918_032422/vtjepa_config.yaml
ADDED
|
@@ -0,0 +1,131 @@
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|
| 1 |
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activation_checkpointing: false
|
| 2 |
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batch_size: 512
|
| 3 |
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data_loader_nprocs: 0
|
| 4 |
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data_path: /pfss/mlde/workspaces/mlde_wsp_MGPATH/truong/JEPA/baselines/Var-T-JEPA/datasets/subset_views/size_10000
|
| 5 |
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data_set: covertype
|
| 6 |
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deterministic_mode: warn
|
| 7 |
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downstream_evaluation_epochs: 50
|
| 8 |
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downstream_probe_patience: 20
|
| 9 |
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exp_cadence_type: improvement
|
| 10 |
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exp_device: null
|
| 11 |
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exp_final_lr: 0.0
|
| 12 |
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exp_final_weight_decay: 0.0
|
| 13 |
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exp_gradient_clipping: 1.0
|
| 14 |
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exp_ipe_scale: 1.0
|
| 15 |
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exp_lr: 0.0005
|
| 16 |
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exp_n_runs: 1
|
| 17 |
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exp_patience: 25
|
| 18 |
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exp_scheduler: true
|
| 19 |
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exp_start_lr: 0.0
|
| 20 |
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exp_train_total_epochs: 500
|
| 21 |
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exp_val_cache_cadence: 1
|
| 22 |
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exp_warmup: 12
|
| 23 |
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exp_weight_decay: 0.0
|
| 24 |
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exp_weight_decay_scheduler: true
|
| 25 |
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full_dataset_cuda: false
|
| 26 |
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init_type: trunc_normal
|
| 27 |
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is_batchlearning: true
|
| 28 |
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iteration: 0
|
| 29 |
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jepa_objective: w_jepa_joint
|
| 30 |
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latent_architecture: stochastic
|
| 31 |
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load_from_checkpoint: false
|
| 32 |
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load_path: null
|
| 33 |
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log_sigma_x_init: -2.0
|
| 34 |
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log_sigma_y_init: -2.0
|
| 35 |
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log_tensorboard: false
|
| 36 |
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logvar_init_bias: -4.0
|
| 37 |
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logvar_init_std: 0.005
|
| 38 |
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mask_allow_overlap: false
|
| 39 |
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mask_max_ctx_share: 0.35
|
| 40 |
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mask_max_trgt_share: 0.6
|
| 41 |
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mask_min_ctx_share: 0.15
|
| 42 |
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mask_min_trgt_share: 0.15
|
| 43 |
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mask_num_encs: 1
|
| 44 |
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mask_num_preds: 4
|
| 45 |
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mask_seed: 0
|
| 46 |
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mock: false
|
| 47 |
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model_act_func: relu
|
| 48 |
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model_amp: false
|
| 49 |
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model_dim_feedforward: 64
|
| 50 |
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model_dim_hidden: 64
|
| 51 |
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model_dropout_prob: 0.0015
|
| 52 |
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model_dtype: float32
|
| 53 |
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model_feature_index_embedding: true
|
| 54 |
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model_feature_type_embedding: true
|
| 55 |
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model_layer_norm_eps: 1.0e-05
|
| 56 |
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model_num_heads: 8
|
| 57 |
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model_num_layers: 8
|
| 58 |
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model_selection: filtered_20
|
| 59 |
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mp_distributed: false
|
| 60 |
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mp_gpus: 1
|
| 61 |
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mp_nodes: 1
|
| 62 |
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mp_nr: 0
|
| 63 |
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mu_init_std: 0.03
|
| 64 |
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n_cls_tokens: 1
|
| 65 |
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np_seed: 42
|
| 66 |
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pin_memory: false
|
| 67 |
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pooled_context_representation_size_for_auxiliary_encoder: 1
|
| 68 |
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pooled_context_representation_size_for_target_posterior: 1
|
| 69 |
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pre_evaluation: true
|
| 70 |
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pred_activation: relu
|
| 71 |
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pred_dim_feedforward: 256
|
| 72 |
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pred_embed_dim: 16
|
| 73 |
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pred_layer_norm_eps: 1.0e-05
|
| 74 |
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pred_num_heads: 4
|
| 75 |
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pred_num_layers: 16
|
| 76 |
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pred_p_dropout: 0.002
|
| 77 |
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pred_type: transformer
|
| 78 |
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predictive_target_detach: false
|
| 79 |
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probe_cadence: 2
|
| 80 |
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probe_encoder_type: target_posterior
|
| 81 |
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probe_model: linear_probe
|
| 82 |
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probe_representation_type: mean
|
| 83 |
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random: false
|
| 84 |
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recon_x_weight: 0.001
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| 85 |
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recon_y_weight: 0.5
|
| 86 |
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res_dir: ./
|
| 87 |
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safe_exit: false
|
| 88 |
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sigma_aggregation: mean
|
| 89 |
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subset_size: -1
|
| 90 |
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sw_full_num_projections: 2048
|
| 91 |
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sw_include_marginals: true
|
| 92 |
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sw_marginal_num_projections: 1024
|
| 93 |
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sw_p: 2
|
| 94 |
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sw_s_x_weight: 0.00075
|
| 95 |
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sw_s_y_weight: 7.5e-05
|
| 96 |
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sw_seed: 0
|
| 97 |
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sw_z_weight: 7.5e-05
|
| 98 |
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test: false
|
| 99 |
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torch_seed: 42
|
| 100 |
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using_embedding: false
|
| 101 |
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verbose: false
|
| 102 |
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vtjepa_kl_x_annealing_epochs: 60
|
| 103 |
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vtjepa_kl_x_end_weight: 1.0e-06
|
| 104 |
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vtjepa_kl_x_start_epoch: 1
|
| 105 |
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vtjepa_kl_x_start_weight: 0.0
|
| 106 |
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vtjepa_kl_y_annealing_epochs: 50
|
| 107 |
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vtjepa_kl_y_end_weight: 3.0e-08
|
| 108 |
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vtjepa_kl_y_start_epoch: 50
|
| 109 |
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vtjepa_kl_y_start_weight: 0.0
|
| 110 |
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vtjepa_kl_z_annealing_epochs: 60
|
| 111 |
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vtjepa_kl_z_end_weight: 1.0e-05
|
| 112 |
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vtjepa_kl_z_start_epoch: 1
|
| 113 |
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vtjepa_kl_z_start_weight: 0.0
|
| 114 |
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wjepa_joint_annealing_epochs: 60
|
| 115 |
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wjepa_joint_end_weight: 0.001875
|
| 116 |
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wjepa_joint_start_epoch: 1
|
| 117 |
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wjepa_joint_start_weight: 0.0
|
| 118 |
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wjepa_marginal_end_scale: 1.0
|
| 119 |
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wjepa_marginal_start_scale: 0.0
|
| 120 |
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wjepa_s_x_annealing_epochs: 30
|
| 121 |
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wjepa_s_x_end_scale: 1.0
|
| 122 |
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wjepa_s_x_start_epoch: 0
|
| 123 |
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wjepa_s_x_start_scale: 0.0
|
| 124 |
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wjepa_s_y_annealing_epochs: 30
|
| 125 |
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wjepa_s_y_end_scale: 1.0
|
| 126 |
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wjepa_s_y_start_epoch: 0
|
| 127 |
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wjepa_s_y_start_scale: 0.0
|
| 128 |
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wjepa_z_annealing_epochs: 30
|
| 129 |
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wjepa_z_end_scale: 1.0
|
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wjepa_z_start_epoch: 0
|
| 131 |
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wjepa_z_start_scale: 0.0
|
JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q1-gpu2-delay50-kl7e-8/pretrain/paper_alignment_manifest.json
ADDED
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@@ -0,0 +1,247 @@
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|
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|
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|
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|
|
|
| 1 |
+
{
|
| 2 |
+
"code_variant": "paper-aligned-v5-flattened-block-pooled-sw",
|
| 3 |
+
"upstream_commit": "eba7a9b1e01bb6613f4968b0f460d1bd1ae409ef",
|
| 4 |
+
"source_sha256": {
|
| 5 |
+
"src/encoder.py": "c29e003ed6a59e239cfe5cbc6823817fed99c54bfa2f4ffa94bc9ea8eb6f777c",
|
| 6 |
+
"src/mask.py": "e7f57ec6d07cbc6a2d9bc3ef8b48dbaeae8279ecb676b0425226675cbf42c437",
|
| 7 |
+
"src/run_vtjepa.py": "2f44128407503aee95afb939be1faeed557de3124783e7d116a50f53eaf20dc2",
|
| 8 |
+
"src/train_vtjepa.py": "60011dfabb086ae93bb0bb56db2057ca9c1009f2d7fb1a13fcbddb212fbbb1f5",
|
| 9 |
+
"src/vtjepa.py": "b8eee4631a2599941fc2db8b4cc17c3f383722749838b9bc7e0267e77537cf6e",
|
| 10 |
+
"src/d_jepa.py": "f0d9b1f435f6d76aebd72f06e48fa255fa37b7c1ebb3906a78502c5e08774866",
|
| 11 |
+
"src/jepa_model.py": "69f08f390513d6f90566dcb6ea79743143bdaa46020493582f47b4d5cb278927",
|
| 12 |
+
"src/vtjepa_configs.py": "6f549d93958ab1affbd2c77d8a8ce98e02e4150e008e9989bbcc31323e709a76",
|
| 13 |
+
"src/downstream_pipeline.py": "13e4032713b8fddde763d5310cef40aaf98aeb2dde43d5b2a234cb2f4a60edc5",
|
| 14 |
+
"src/sliced_wasserstein.py": "2577a99ea0e5c7c2239cd1670ca9d1833f0fd87b9c11754264afd07a33b13053"
|
| 15 |
+
},
|
| 16 |
+
"dataset": "covertype",
|
| 17 |
+
"objective": "w_jepa_joint",
|
| 18 |
+
"latent_architecture": "stochastic",
|
| 19 |
+
"model_selection": "filtered_20",
|
| 20 |
+
"seeds": {
|
| 21 |
+
"torch": 42,
|
| 22 |
+
"numpy": 42,
|
| 23 |
+
"mask": 0,
|
| 24 |
+
"sliced_wasserstein": 0
|
| 25 |
+
},
|
| 26 |
+
"smoke": false,
|
| 27 |
+
"sw_include_marginals": true,
|
| 28 |
+
"sw_full_num_projections": 2048,
|
| 29 |
+
"sw_marginal_num_projections": 1024,
|
| 30 |
+
"sw_component_weights": {
|
| 31 |
+
"full": 0.001875,
|
| 32 |
+
"s_x": 0.00075,
|
| 33 |
+
"z": 7.5e-05,
|
| 34 |
+
"s_y": 7.5e-05
|
| 35 |
+
},
|
| 36 |
+
"predictive_kl": {
|
| 37 |
+
"enabled": true,
|
| 38 |
+
"direction": "q_target_posterior_to_p_predictor",
|
| 39 |
+
"start_weight": 0.0,
|
| 40 |
+
"end_weight": 7e-08,
|
| 41 |
+
"start_epoch": 50,
|
| 42 |
+
"annealing_epochs": 50
|
| 43 |
+
},
|
| 44 |
+
"sw_annealing_schedule": {
|
| 45 |
+
"full": {
|
| 46 |
+
"start_epoch": 1,
|
| 47 |
+
"annealing_epochs": 60
|
| 48 |
+
},
|
| 49 |
+
"s_x": {
|
| 50 |
+
"start_epoch": 0,
|
| 51 |
+
"annealing_epochs": 30
|
| 52 |
+
},
|
| 53 |
+
"z": {
|
| 54 |
+
"start_epoch": 0,
|
| 55 |
+
"annealing_epochs": 30
|
| 56 |
+
},
|
| 57 |
+
"s_y": {
|
| 58 |
+
"start_epoch": 0,
|
| 59 |
+
"annealing_epochs": 30
|
| 60 |
+
}
|
| 61 |
+
},
|
| 62 |
+
"command": [
|
| 63 |
+
"/pfss/mlde/workspaces/mlde_wsp_MGPATH/truong/JEPA/.venv/bin/python",
|
| 64 |
+
"-W",
|
| 65 |
+
"ignore",
|
| 66 |
+
"-m",
|
| 67 |
+
"src.run_vtjepa",
|
| 68 |
+
"--data_set",
|
| 69 |
+
"covertype",
|
| 70 |
+
"--data_path",
|
| 71 |
+
"/pfss/mlde/workspaces/mlde_wsp_MGPATH/truong/JEPA/baselines/Var-T-JEPA/datasets/subset_views/size_10000",
|
| 72 |
+
"--batch_size",
|
| 73 |
+
"512",
|
| 74 |
+
"--model_dim_hidden",
|
| 75 |
+
"64",
|
| 76 |
+
"--model_dim_feedforward",
|
| 77 |
+
"64",
|
| 78 |
+
"--model_num_layers",
|
| 79 |
+
"8",
|
| 80 |
+
"--model_num_heads",
|
| 81 |
+
"8",
|
| 82 |
+
"--model_dropout_prob",
|
| 83 |
+
"0.0015",
|
| 84 |
+
"--model_feature_index_embedding",
|
| 85 |
+
"true",
|
| 86 |
+
"--model_feature_type_embedding",
|
| 87 |
+
"true",
|
| 88 |
+
"--exp_train_total_epochs",
|
| 89 |
+
"500",
|
| 90 |
+
"--init_type",
|
| 91 |
+
"trunc_normal",
|
| 92 |
+
"--pre_evaluation",
|
| 93 |
+
"true",
|
| 94 |
+
"--pin_memory",
|
| 95 |
+
"false",
|
| 96 |
+
"--mask_min_ctx_share",
|
| 97 |
+
"0.15",
|
| 98 |
+
"--mask_max_ctx_share",
|
| 99 |
+
"0.35",
|
| 100 |
+
"--mask_min_trgt_share",
|
| 101 |
+
"0.15",
|
| 102 |
+
"--mask_max_trgt_share",
|
| 103 |
+
"0.6",
|
| 104 |
+
"--mask_num_preds",
|
| 105 |
+
"4",
|
| 106 |
+
"--pred_num_layers",
|
| 107 |
+
"16",
|
| 108 |
+
"--pred_embed_dim",
|
| 109 |
+
"16",
|
| 110 |
+
"--pred_num_heads",
|
| 111 |
+
"4",
|
| 112 |
+
"--pred_p_dropout",
|
| 113 |
+
"0.002",
|
| 114 |
+
"--pred_dim_feedforward",
|
| 115 |
+
"256",
|
| 116 |
+
"--pred_type",
|
| 117 |
+
"transformer",
|
| 118 |
+
"--probe_model",
|
| 119 |
+
"linear_probe",
|
| 120 |
+
"--probe_cadence",
|
| 121 |
+
"2",
|
| 122 |
+
"--probe_representation_type",
|
| 123 |
+
"mean",
|
| 124 |
+
"--probe_encoder_type",
|
| 125 |
+
"target_posterior",
|
| 126 |
+
"--downstream_evaluation_epochs",
|
| 127 |
+
"50",
|
| 128 |
+
"--downstream_probe_patience",
|
| 129 |
+
"20",
|
| 130 |
+
"--exp_final_lr",
|
| 131 |
+
"0.0",
|
| 132 |
+
"--exp_final_weight_decay",
|
| 133 |
+
"0.0",
|
| 134 |
+
"--exp_start_lr",
|
| 135 |
+
"0.0",
|
| 136 |
+
"--exp_patience",
|
| 137 |
+
"25",
|
| 138 |
+
"--exp_weight_decay",
|
| 139 |
+
"0.0",
|
| 140 |
+
"--exp_lr",
|
| 141 |
+
"0.0005",
|
| 142 |
+
"--exp_warmup",
|
| 143 |
+
"12",
|
| 144 |
+
"--log_tensorboard",
|
| 145 |
+
"false",
|
| 146 |
+
"--n_cls_tokens",
|
| 147 |
+
"1",
|
| 148 |
+
"--vtjepa_kl_x_start_weight",
|
| 149 |
+
"0",
|
| 150 |
+
"--vtjepa_kl_x_end_weight",
|
| 151 |
+
"1e-06",
|
| 152 |
+
"--vtjepa_kl_x_annealing_epochs",
|
| 153 |
+
"60",
|
| 154 |
+
"--vtjepa_kl_z_start_weight",
|
| 155 |
+
"0",
|
| 156 |
+
"--vtjepa_kl_z_end_weight",
|
| 157 |
+
"1e-05",
|
| 158 |
+
"--vtjepa_kl_z_annealing_epochs",
|
| 159 |
+
"60",
|
| 160 |
+
"--vtjepa_kl_y_start_weight",
|
| 161 |
+
"0.0",
|
| 162 |
+
"--vtjepa_kl_y_end_weight",
|
| 163 |
+
"7e-08",
|
| 164 |
+
"--vtjepa_kl_y_annealing_epochs",
|
| 165 |
+
"50",
|
| 166 |
+
"--vtjepa_kl_x_start_epoch",
|
| 167 |
+
"1",
|
| 168 |
+
"--vtjepa_kl_z_start_epoch",
|
| 169 |
+
"1",
|
| 170 |
+
"--vtjepa_kl_y_start_epoch",
|
| 171 |
+
"50",
|
| 172 |
+
"--recon_x_weight",
|
| 173 |
+
"0.001",
|
| 174 |
+
"--recon_y_weight",
|
| 175 |
+
"0.5",
|
| 176 |
+
"--mu_init_std",
|
| 177 |
+
"0.03",
|
| 178 |
+
"--logvar_init_std",
|
| 179 |
+
"0.005",
|
| 180 |
+
"--logvar_init_bias",
|
| 181 |
+
"-4.0",
|
| 182 |
+
"--log_sigma_x_init",
|
| 183 |
+
"-2.0",
|
| 184 |
+
"--log_sigma_y_init",
|
| 185 |
+
"-2.0",
|
| 186 |
+
"--pooled_context_representation_size_for_target_posterior",
|
| 187 |
+
"1",
|
| 188 |
+
"--pooled_context_representation_size_for_auxiliary_encoder",
|
| 189 |
+
"1",
|
| 190 |
+
"--sigma_aggregation",
|
| 191 |
+
"mean",
|
| 192 |
+
"--model_selection",
|
| 193 |
+
"filtered_20",
|
| 194 |
+
"--jepa_objective",
|
| 195 |
+
"w_jepa_joint",
|
| 196 |
+
"--latent_architecture",
|
| 197 |
+
"stochastic",
|
| 198 |
+
"--wjepa_joint_start_weight",
|
| 199 |
+
"0.0",
|
| 200 |
+
"--wjepa_joint_end_weight",
|
| 201 |
+
"0.001875",
|
| 202 |
+
"--wjepa_joint_start_epoch",
|
| 203 |
+
"1",
|
| 204 |
+
"--wjepa_joint_annealing_epochs",
|
| 205 |
+
"60",
|
| 206 |
+
"--wjepa_s_x_start_epoch",
|
| 207 |
+
"0",
|
| 208 |
+
"--wjepa_s_x_annealing_epochs",
|
| 209 |
+
"30",
|
| 210 |
+
"--wjepa_z_start_epoch",
|
| 211 |
+
"0",
|
| 212 |
+
"--wjepa_z_annealing_epochs",
|
| 213 |
+
"30",
|
| 214 |
+
"--wjepa_s_y_start_epoch",
|
| 215 |
+
"0",
|
| 216 |
+
"--wjepa_s_y_annealing_epochs",
|
| 217 |
+
"30",
|
| 218 |
+
"--sw_full_num_projections",
|
| 219 |
+
"2048",
|
| 220 |
+
"--sw_marginal_num_projections",
|
| 221 |
+
"1024",
|
| 222 |
+
"--sw_p",
|
| 223 |
+
"2",
|
| 224 |
+
"--sw_include_marginals",
|
| 225 |
+
"true",
|
| 226 |
+
"--sw_s_x_weight",
|
| 227 |
+
"0.00075",
|
| 228 |
+
"--sw_z_weight",
|
| 229 |
+
"7.5e-05",
|
| 230 |
+
"--sw_s_y_weight",
|
| 231 |
+
"7.5e-05",
|
| 232 |
+
"--torch_seed",
|
| 233 |
+
"42",
|
| 234 |
+
"--np_seed",
|
| 235 |
+
"42",
|
| 236 |
+
"--mask_seed",
|
| 237 |
+
"0",
|
| 238 |
+
"--sw_seed",
|
| 239 |
+
"0",
|
| 240 |
+
"--deterministic_mode",
|
| 241 |
+
"warn",
|
| 242 |
+
"--random",
|
| 243 |
+
"false",
|
| 244 |
+
"--safe_exit",
|
| 245 |
+
"false"
|
| 246 |
+
]
|
| 247 |
+
}
|
JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q1-gpu2-delay50-kl7e-8/pretrain/wjepa_joint/covertype/20260918_032445/downstream_results/autoint_covertype_downstream_results.json
ADDED
|
@@ -0,0 +1,568 @@
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|
JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q1-gpu2-delay50-kl7e-8/pretrain/wjepa_joint/covertype/20260918_032445/downstream_results/dcnv2_covertype_downstream_results.json
ADDED
|
@@ -0,0 +1,567 @@
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|
| 1 |
+
{
|
| 2 |
+
"dataset": "covertype",
|
| 3 |
+
"model": "dcnv2",
|
| 4 |
+
"config": {
|
| 5 |
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"script_path": "src/run_benchmark.py",
|
| 6 |
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"folder_name": "/tmp/tmp5wqfd2n3",
|
| 7 |
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"data_path": "/pfss/mlde/workspaces/mlde_wsp_MGPATH/truong/JEPA/baselines/Var-T-JEPA/datasets/subset_views/size_10000",
|
| 8 |
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"data_set": "covertype",
|
| 9 |
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"model_name": "dcnv2",
|
| 10 |
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"using_embedding": true,
|
| 11 |
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"emb_train": "/pfss/mlde/workspaces/mlde_wsp_MGPATH/truong/JEPA/reproduction/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q1-gpu2-delay50-kl7e-8/pretrain/wjepa_joint/covertype/20260918_032445/embedding.npy",
|
| 12 |
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"emb_test": "/pfss/mlde/workspaces/mlde_wsp_MGPATH/truong/JEPA/reproduction/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q1-gpu2-delay50-kl7e-8/pretrain/wjepa_joint/covertype/20260918_032445/embedding.npy",
|
| 13 |
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"use_split_assignments": true,
|
| 14 |
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"exp_train_total_epochs": 50,
|
| 15 |
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"split_config_file": "/tmp/tmp5wqfd2n3/split_data/split_config.json",
|
| 16 |
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"sigma_aggregation": "mean",
|
| 17 |
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"lr": 0.001,
|
| 18 |
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|
| 19 |
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"batch_size": 128,
|
| 20 |
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|
| 21 |
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"encoder_type": "linear_flatten",
|
| 22 |
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"hidden_dim": 128,
|
| 23 |
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"n_hidden_layers": 4,
|
| 24 |
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"n_cross_layers": 2,
|
| 25 |
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"hidden_dropout": 0.1,
|
| 26 |
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"cross_dropout": 0.1,
|
| 27 |
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"d_embedding": 128,
|
| 28 |
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"stacked": true,
|
| 29 |
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"filter_uncertainty": true,
|
| 30 |
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"uncertainty_test": "/pfss/mlde/workspaces/mlde_wsp_MGPATH/truong/JEPA/reproduction/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q1-gpu2-delay50-kl7e-8/pretrain/wjepa_joint/covertype/20260918_032445/uncertainty.npy"
|
| 31 |
+
},
|
| 32 |
+
"runs": [
|
| 33 |
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{
|
| 34 |
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"seed": 0,
|
| 35 |
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"val_metrics": {
|
| 36 |
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"covertype_val_loss": 0.6081099510192871,
|
| 37 |
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"lr": 9.549149399390444e-05,
|
| 38 |
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"covertype_val_accuracy": 0.7627627849578857,
|
| 39 |
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"covertype_val_precision": 0.7530904412269592,
|
| 40 |
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"covertype_val_recall": 0.7627627849578857,
|
| 41 |
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"covertype_val_f1-score": 0.7562083005905151,
|
| 42 |
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"covertype_val_support": 999.0,
|
| 43 |
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"covertype_val_score": 0.7627627849578857
|
| 44 |
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},
|
| 45 |
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"test_metrics": {
|
| 46 |
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"0": {
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| 47 |
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| 48 |
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| 50 |
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| 51 |
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| 54 |
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| 55 |
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},
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| 56 |
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"5": {
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| 57 |
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| 61 |
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| 62 |
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|
| 63 |
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|
JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q1-gpu2-delay50-kl7e-8/pretrain/wjepa_joint/covertype/20260918_032445/downstream_results/fttransformer_covertype_downstream_results.json
ADDED
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@@ -0,0 +1,567 @@
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|
JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q1-gpu2-delay50-kl7e-8/pretrain/wjepa_joint/covertype/20260918_032445/downstream_results/mlp_covertype_downstream_results.json
ADDED
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| 508 |
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| 509 |
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| 510 |
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| 512 |
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| 516 |
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| 563 |
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|
JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q1-gpu2-delay50-kl7e-8/pretrain/wjepa_joint/covertype/20260918_032445/downstream_results/resnet_covertype_downstream_results.json
ADDED
|
@@ -0,0 +1,566 @@
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|
| 1 |
+
{
|
| 2 |
+
"dataset": "covertype",
|
| 3 |
+
"model": "resnet",
|
| 4 |
+
"config": {
|
| 5 |
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"script_path": "src/run_benchmark.py",
|
| 6 |
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"folder_name": "/tmp/tmpoezilmqg",
|
| 7 |
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"data_path": "/pfss/mlde/workspaces/mlde_wsp_MGPATH/truong/JEPA/baselines/Var-T-JEPA/datasets/subset_views/size_10000",
|
| 8 |
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"data_set": "covertype",
|
| 9 |
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"model_name": "resnet",
|
| 10 |
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"using_embedding": true,
|
| 11 |
+
"emb_train": "/pfss/mlde/workspaces/mlde_wsp_MGPATH/truong/JEPA/reproduction/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q1-gpu2-delay50-kl7e-8/pretrain/wjepa_joint/covertype/20260918_032445/embedding.npy",
|
| 12 |
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"emb_test": "/pfss/mlde/workspaces/mlde_wsp_MGPATH/truong/JEPA/reproduction/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q1-gpu2-delay50-kl7e-8/pretrain/wjepa_joint/covertype/20260918_032445/embedding.npy",
|
| 13 |
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"use_split_assignments": true,
|
| 14 |
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"exp_train_total_epochs": 50,
|
| 15 |
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"split_config_file": "/tmp/tmpoezilmqg/split_data/split_config.json",
|
| 16 |
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"sigma_aggregation": "mean",
|
| 17 |
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"lr": 0.001,
|
| 18 |
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"weight_decay": 0.01,
|
| 19 |
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"batch_size": 128,
|
| 20 |
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"exp_patience": 16,
|
| 21 |
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"encoder_type": "linear_flatten",
|
| 22 |
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|
| 23 |
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"d_out": 128,
|
| 24 |
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"d_block": 128,
|
| 25 |
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"d_hidden": 256,
|
| 26 |
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"dropout1": 0.1,
|
| 27 |
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"dropout2": 0.0,
|
| 28 |
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"filter_uncertainty": true,
|
| 29 |
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"uncertainty_test": "/pfss/mlde/workspaces/mlde_wsp_MGPATH/truong/JEPA/reproduction/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q1-gpu2-delay50-kl7e-8/pretrain/wjepa_joint/covertype/20260918_032445/uncertainty.npy"
|
| 30 |
+
},
|
| 31 |
+
"runs": [
|
| 32 |
+
{
|
| 33 |
+
"seed": 0,
|
| 34 |
+
"val_metrics": {
|
| 35 |
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"covertype_val_loss": 0.588982880115509,
|
| 36 |
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"lr": 0.0,
|
| 37 |
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"covertype_val_accuracy": 0.7657657861709595,
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| 38 |
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"covertype_val_precision": 0.762799084186554,
|
| 39 |
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"covertype_val_recall": 0.7657657861709595,
|
| 40 |
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"covertype_val_f1-score": 0.7639675736427307,
|
| 41 |
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"covertype_val_support": 999.0,
|
| 42 |
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"covertype_val_score": 0.7657657861709595
|
| 43 |
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},
|
| 44 |
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"test_metrics": {
|
| 45 |
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"0": {
|
| 46 |
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|
| 47 |
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"lr": 0.0,
|
| 48 |
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"covertype_test_accuracy": 0.7839999794960022,
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| 49 |
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|
| 50 |
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"covertype_test_recall": 0.7839999794960022,
|
| 51 |
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|
| 52 |
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|
| 53 |
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| 54 |
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},
|
| 55 |
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"5": {
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| 56 |
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| 60 |
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"covertype_test_f1-score": 0.789801299571991,
|
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ADDED
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| 1 |
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activation_checkpointing: false
|
| 2 |
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batch_size: 512
|
| 3 |
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data_loader_nprocs: 0
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| 4 |
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data_path: /pfss/mlde/workspaces/mlde_wsp_MGPATH/truong/JEPA/baselines/Var-T-JEPA/datasets/subset_views/size_10000
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| 5 |
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data_set: covertype
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deterministic_mode: warn
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downstream_evaluation_epochs: 50
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downstream_probe_patience: 20
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exp_cadence_type: improvement
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exp_device: null
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exp_final_lr: 0.0
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exp_final_weight_decay: 0.0
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exp_ipe_scale: 1.0
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exp_lr: 0.0005
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exp_n_runs: 1
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exp_patience: 25
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exp_scheduler: true
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exp_start_lr: 0.0
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exp_train_total_epochs: 500
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exp_val_cache_cadence: 1
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exp_warmup: 12
|
| 23 |
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exp_weight_decay: 0.0
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| 24 |
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exp_weight_decay_scheduler: true
|
| 25 |
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full_dataset_cuda: false
|
| 26 |
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init_type: trunc_normal
|
| 27 |
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is_batchlearning: true
|
| 28 |
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iteration: 0
|
| 29 |
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jepa_objective: w_jepa_joint
|
| 30 |
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latent_architecture: stochastic
|
| 31 |
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load_from_checkpoint: false
|
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load_path: null
|
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log_sigma_x_init: -2.0
|
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log_sigma_y_init: -2.0
|
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log_tensorboard: false
|
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logvar_init_bias: -4.0
|
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logvar_init_std: 0.005
|
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mask_allow_overlap: false
|
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mask_max_ctx_share: 0.35
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mask_max_trgt_share: 0.6
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mask_min_ctx_share: 0.15
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mask_min_trgt_share: 0.15
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mask_num_encs: 1
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mask_num_preds: 4
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mask_seed: 0
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mock: false
|
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model_act_func: relu
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model_amp: false
|
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model_dim_feedforward: 64
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model_dim_hidden: 64
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| 51 |
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model_dropout_prob: 0.0015
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model_dtype: float32
|
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model_feature_index_embedding: true
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| 54 |
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|
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model_layer_norm_eps: 1.0e-05
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model_num_heads: 8
|
| 57 |
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model_num_layers: 8
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model_selection: filtered_20
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mp_distributed: false
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mp_gpus: 1
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mp_nodes: 1
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mp_nr: 0
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mu_init_std: 0.03
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n_cls_tokens: 1
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np_seed: 42
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pin_memory: false
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pooled_context_representation_size_for_auxiliary_encoder: 1
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pooled_context_representation_size_for_target_posterior: 1
|
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pre_evaluation: true
|
| 70 |
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pred_activation: relu
|
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pred_dim_feedforward: 256
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pred_embed_dim: 16
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pred_layer_norm_eps: 1.0e-05
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pred_num_heads: 4
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pred_num_layers: 16
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pred_p_dropout: 0.002
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pred_type: transformer
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predictive_target_detach: false
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probe_cadence: 2
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probe_encoder_type: target_posterior
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probe_model: linear_probe
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probe_representation_type: mean
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random: false
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recon_x_weight: 0.001
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recon_y_weight: 0.5
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res_dir: ./
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safe_exit: false
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sigma_aggregation: mean
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subset_size: -1
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torch_seed: 42
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| 104 |
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vtjepa_kl_x_start_epoch: 1
|
| 105 |
+
vtjepa_kl_x_start_weight: 0.0
|
| 106 |
+
vtjepa_kl_y_annealing_epochs: 50
|
| 107 |
+
vtjepa_kl_y_end_weight: 7.0e-08
|
| 108 |
+
vtjepa_kl_y_start_epoch: 50
|
| 109 |
+
vtjepa_kl_y_start_weight: 0.0
|
| 110 |
+
vtjepa_kl_z_annealing_epochs: 60
|
| 111 |
+
vtjepa_kl_z_end_weight: 1.0e-05
|
| 112 |
+
vtjepa_kl_z_start_epoch: 1
|
| 113 |
+
vtjepa_kl_z_start_weight: 0.0
|
| 114 |
+
wjepa_joint_annealing_epochs: 60
|
| 115 |
+
wjepa_joint_end_weight: 0.001875
|
| 116 |
+
wjepa_joint_start_epoch: 1
|
| 117 |
+
wjepa_joint_start_weight: 0.0
|
| 118 |
+
wjepa_marginal_end_scale: 1.0
|
| 119 |
+
wjepa_marginal_start_scale: 0.0
|
| 120 |
+
wjepa_s_x_annealing_epochs: 30
|
| 121 |
+
wjepa_s_x_end_scale: 1.0
|
| 122 |
+
wjepa_s_x_start_epoch: 0
|
| 123 |
+
wjepa_s_x_start_scale: 0.0
|
| 124 |
+
wjepa_s_y_annealing_epochs: 30
|
| 125 |
+
wjepa_s_y_end_scale: 1.0
|
| 126 |
+
wjepa_s_y_start_epoch: 0
|
| 127 |
+
wjepa_s_y_start_scale: 0.0
|
| 128 |
+
wjepa_z_annealing_epochs: 30
|
| 129 |
+
wjepa_z_end_scale: 1.0
|
| 130 |
+
wjepa_z_start_epoch: 0
|
| 131 |
+
wjepa_z_start_scale: 0.0
|
JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q2-gpu2-delay50-kl1e-7/pretrain/paper_alignment_manifest.json
ADDED
|
@@ -0,0 +1,247 @@
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|
| 1 |
+
{
|
| 2 |
+
"code_variant": "paper-aligned-v5-flattened-block-pooled-sw",
|
| 3 |
+
"upstream_commit": "eba7a9b1e01bb6613f4968b0f460d1bd1ae409ef",
|
| 4 |
+
"source_sha256": {
|
| 5 |
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"src/encoder.py": "c29e003ed6a59e239cfe5cbc6823817fed99c54bfa2f4ffa94bc9ea8eb6f777c",
|
| 6 |
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"src/mask.py": "e7f57ec6d07cbc6a2d9bc3ef8b48dbaeae8279ecb676b0425226675cbf42c437",
|
| 7 |
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"src/run_vtjepa.py": "2f44128407503aee95afb939be1faeed557de3124783e7d116a50f53eaf20dc2",
|
| 8 |
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"src/train_vtjepa.py": "60011dfabb086ae93bb0bb56db2057ca9c1009f2d7fb1a13fcbddb212fbbb1f5",
|
| 9 |
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"src/vtjepa.py": "b8eee4631a2599941fc2db8b4cc17c3f383722749838b9bc7e0267e77537cf6e",
|
| 10 |
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"src/d_jepa.py": "f0d9b1f435f6d76aebd72f06e48fa255fa37b7c1ebb3906a78502c5e08774866",
|
| 11 |
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"src/jepa_model.py": "69f08f390513d6f90566dcb6ea79743143bdaa46020493582f47b4d5cb278927",
|
| 12 |
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"src/vtjepa_configs.py": "6f549d93958ab1affbd2c77d8a8ce98e02e4150e008e9989bbcc31323e709a76",
|
| 13 |
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"src/downstream_pipeline.py": "13e4032713b8fddde763d5310cef40aaf98aeb2dde43d5b2a234cb2f4a60edc5",
|
| 14 |
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"src/sliced_wasserstein.py": "2577a99ea0e5c7c2239cd1670ca9d1833f0fd87b9c11754264afd07a33b13053"
|
| 15 |
+
},
|
| 16 |
+
"dataset": "covertype",
|
| 17 |
+
"objective": "w_jepa_joint",
|
| 18 |
+
"latent_architecture": "stochastic",
|
| 19 |
+
"model_selection": "filtered_20",
|
| 20 |
+
"seeds": {
|
| 21 |
+
"torch": 42,
|
| 22 |
+
"numpy": 42,
|
| 23 |
+
"mask": 0,
|
| 24 |
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"sliced_wasserstein": 0
|
| 25 |
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},
|
| 26 |
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"smoke": false,
|
| 27 |
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"sw_include_marginals": true,
|
| 28 |
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"sw_full_num_projections": 2048,
|
| 29 |
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"sw_marginal_num_projections": 1024,
|
| 30 |
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"sw_component_weights": {
|
| 31 |
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"full": 0.001875,
|
| 32 |
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"s_x": 0.00075,
|
| 33 |
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"z": 7.5e-05,
|
| 34 |
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"s_y": 7.5e-05
|
| 35 |
+
},
|
| 36 |
+
"predictive_kl": {
|
| 37 |
+
"enabled": true,
|
| 38 |
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"direction": "q_target_posterior_to_p_predictor",
|
| 39 |
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"start_weight": 0.0,
|
| 40 |
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"end_weight": 1e-07,
|
| 41 |
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"start_epoch": 50,
|
| 42 |
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"annealing_epochs": 50
|
| 43 |
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},
|
| 44 |
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"sw_annealing_schedule": {
|
| 45 |
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"full": {
|
| 46 |
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"start_epoch": 1,
|
| 47 |
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"annealing_epochs": 60
|
| 48 |
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},
|
| 49 |
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"s_x": {
|
| 50 |
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"start_epoch": 0,
|
| 51 |
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"annealing_epochs": 30
|
| 52 |
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},
|
| 53 |
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"z": {
|
| 54 |
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"start_epoch": 0,
|
| 55 |
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"annealing_epochs": 30
|
| 56 |
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},
|
| 57 |
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"s_y": {
|
| 58 |
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"start_epoch": 0,
|
| 59 |
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"annealing_epochs": 30
|
| 60 |
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}
|
| 61 |
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},
|
| 62 |
+
"command": [
|
| 63 |
+
"/pfss/mlde/workspaces/mlde_wsp_MGPATH/truong/JEPA/.venv/bin/python",
|
| 64 |
+
"-W",
|
| 65 |
+
"ignore",
|
| 66 |
+
"-m",
|
| 67 |
+
"src.run_vtjepa",
|
| 68 |
+
"--data_set",
|
| 69 |
+
"covertype",
|
| 70 |
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"--data_path",
|
| 71 |
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"/pfss/mlde/workspaces/mlde_wsp_MGPATH/truong/JEPA/baselines/Var-T-JEPA/datasets/subset_views/size_10000",
|
| 72 |
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"--batch_size",
|
| 73 |
+
"512",
|
| 74 |
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"--model_dim_hidden",
|
| 75 |
+
"64",
|
| 76 |
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"--model_dim_feedforward",
|
| 77 |
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"64",
|
| 78 |
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"--model_num_layers",
|
| 79 |
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"8",
|
| 80 |
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"--model_num_heads",
|
| 81 |
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"8",
|
| 82 |
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"--model_dropout_prob",
|
| 83 |
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"0.0015",
|
| 84 |
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"--model_feature_index_embedding",
|
| 85 |
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"true",
|
| 86 |
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"--model_feature_type_embedding",
|
| 87 |
+
"true",
|
| 88 |
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"--exp_train_total_epochs",
|
| 89 |
+
"500",
|
| 90 |
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"--init_type",
|
| 91 |
+
"trunc_normal",
|
| 92 |
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"--pre_evaluation",
|
| 93 |
+
"true",
|
| 94 |
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"--pin_memory",
|
| 95 |
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"false",
|
| 96 |
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"--mask_min_ctx_share",
|
| 97 |
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"0.15",
|
| 98 |
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"--mask_max_ctx_share",
|
| 99 |
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"0.35",
|
| 100 |
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"--mask_min_trgt_share",
|
| 101 |
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"0.15",
|
| 102 |
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"--mask_max_trgt_share",
|
| 103 |
+
"0.6",
|
| 104 |
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"--mask_num_preds",
|
| 105 |
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"4",
|
| 106 |
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"--pred_num_layers",
|
| 107 |
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"16",
|
| 108 |
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"--pred_embed_dim",
|
| 109 |
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"16",
|
| 110 |
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"--pred_num_heads",
|
| 111 |
+
"4",
|
| 112 |
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"--pred_p_dropout",
|
| 113 |
+
"0.002",
|
| 114 |
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"--pred_dim_feedforward",
|
| 115 |
+
"256",
|
| 116 |
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"--pred_type",
|
| 117 |
+
"transformer",
|
| 118 |
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"--probe_model",
|
| 119 |
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"linear_probe",
|
| 120 |
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"--probe_cadence",
|
| 121 |
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"2",
|
| 122 |
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"--probe_representation_type",
|
| 123 |
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"mean",
|
| 124 |
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"--probe_encoder_type",
|
| 125 |
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"target_posterior",
|
| 126 |
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"--downstream_evaluation_epochs",
|
| 127 |
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"50",
|
| 128 |
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"--downstream_probe_patience",
|
| 129 |
+
"20",
|
| 130 |
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"--exp_final_lr",
|
| 131 |
+
"0.0",
|
| 132 |
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"--exp_final_weight_decay",
|
| 133 |
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"0.0",
|
| 134 |
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"--exp_start_lr",
|
| 135 |
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"0.0",
|
| 136 |
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"--exp_patience",
|
| 137 |
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"25",
|
| 138 |
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"--exp_weight_decay",
|
| 139 |
+
"0.0",
|
| 140 |
+
"--exp_lr",
|
| 141 |
+
"0.0005",
|
| 142 |
+
"--exp_warmup",
|
| 143 |
+
"12",
|
| 144 |
+
"--log_tensorboard",
|
| 145 |
+
"false",
|
| 146 |
+
"--n_cls_tokens",
|
| 147 |
+
"1",
|
| 148 |
+
"--vtjepa_kl_x_start_weight",
|
| 149 |
+
"0",
|
| 150 |
+
"--vtjepa_kl_x_end_weight",
|
| 151 |
+
"1e-06",
|
| 152 |
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"--vtjepa_kl_x_annealing_epochs",
|
| 153 |
+
"60",
|
| 154 |
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"--vtjepa_kl_z_start_weight",
|
| 155 |
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"0",
|
| 156 |
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"--vtjepa_kl_z_end_weight",
|
| 157 |
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"1e-05",
|
| 158 |
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"--vtjepa_kl_z_annealing_epochs",
|
| 159 |
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"60",
|
| 160 |
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"--vtjepa_kl_y_start_weight",
|
| 161 |
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"0.0",
|
| 162 |
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"--vtjepa_kl_y_end_weight",
|
| 163 |
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"1e-07",
|
| 164 |
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"--vtjepa_kl_y_annealing_epochs",
|
| 165 |
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"50",
|
| 166 |
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"--vtjepa_kl_x_start_epoch",
|
| 167 |
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"1",
|
| 168 |
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"--vtjepa_kl_z_start_epoch",
|
| 169 |
+
"1",
|
| 170 |
+
"--vtjepa_kl_y_start_epoch",
|
| 171 |
+
"50",
|
| 172 |
+
"--recon_x_weight",
|
| 173 |
+
"0.001",
|
| 174 |
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"--recon_y_weight",
|
| 175 |
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"0.5",
|
| 176 |
+
"--mu_init_std",
|
| 177 |
+
"0.03",
|
| 178 |
+
"--logvar_init_std",
|
| 179 |
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"0.005",
|
| 180 |
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"--logvar_init_bias",
|
| 181 |
+
"-4.0",
|
| 182 |
+
"--log_sigma_x_init",
|
| 183 |
+
"-2.0",
|
| 184 |
+
"--log_sigma_y_init",
|
| 185 |
+
"-2.0",
|
| 186 |
+
"--pooled_context_representation_size_for_target_posterior",
|
| 187 |
+
"1",
|
| 188 |
+
"--pooled_context_representation_size_for_auxiliary_encoder",
|
| 189 |
+
"1",
|
| 190 |
+
"--sigma_aggregation",
|
| 191 |
+
"mean",
|
| 192 |
+
"--model_selection",
|
| 193 |
+
"filtered_20",
|
| 194 |
+
"--jepa_objective",
|
| 195 |
+
"w_jepa_joint",
|
| 196 |
+
"--latent_architecture",
|
| 197 |
+
"stochastic",
|
| 198 |
+
"--wjepa_joint_start_weight",
|
| 199 |
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"0.0",
|
| 200 |
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"--wjepa_joint_end_weight",
|
| 201 |
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"0.001875",
|
| 202 |
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"--wjepa_joint_start_epoch",
|
| 203 |
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"1",
|
| 204 |
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"--wjepa_joint_annealing_epochs",
|
| 205 |
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"60",
|
| 206 |
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"--wjepa_s_x_start_epoch",
|
| 207 |
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"0",
|
| 208 |
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"--wjepa_s_x_annealing_epochs",
|
| 209 |
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"30",
|
| 210 |
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"--wjepa_z_start_epoch",
|
| 211 |
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"0",
|
| 212 |
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"--wjepa_z_annealing_epochs",
|
| 213 |
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"30",
|
| 214 |
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"--wjepa_s_y_start_epoch",
|
| 215 |
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"0",
|
| 216 |
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"--wjepa_s_y_annealing_epochs",
|
| 217 |
+
"30",
|
| 218 |
+
"--sw_full_num_projections",
|
| 219 |
+
"2048",
|
| 220 |
+
"--sw_marginal_num_projections",
|
| 221 |
+
"1024",
|
| 222 |
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"--sw_p",
|
| 223 |
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"2",
|
| 224 |
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"--sw_include_marginals",
|
| 225 |
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"true",
|
| 226 |
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"--sw_s_x_weight",
|
| 227 |
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"0.00075",
|
| 228 |
+
"--sw_z_weight",
|
| 229 |
+
"7.5e-05",
|
| 230 |
+
"--sw_s_y_weight",
|
| 231 |
+
"7.5e-05",
|
| 232 |
+
"--torch_seed",
|
| 233 |
+
"42",
|
| 234 |
+
"--np_seed",
|
| 235 |
+
"42",
|
| 236 |
+
"--mask_seed",
|
| 237 |
+
"0",
|
| 238 |
+
"--sw_seed",
|
| 239 |
+
"0",
|
| 240 |
+
"--deterministic_mode",
|
| 241 |
+
"warn",
|
| 242 |
+
"--random",
|
| 243 |
+
"false",
|
| 244 |
+
"--safe_exit",
|
| 245 |
+
"false"
|
| 246 |
+
]
|
| 247 |
+
}
|
JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q2-gpu2-delay50-kl1e-7/pretrain/wjepa_joint/covertype/20260918_032511/downstream_results/autoint_covertype_downstream_results.json
ADDED
|
@@ -0,0 +1,568 @@
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|
| 1 |
+
{
|
| 2 |
+
"dataset": "covertype",
|
| 3 |
+
"model": "autoint",
|
| 4 |
+
"config": {
|
| 5 |
+
"script_path": "src/run_benchmark.py",
|
| 6 |
+
"folder_name": "/tmp/tmpzqup56ug",
|
| 7 |
+
"data_path": "/pfss/mlde/workspaces/mlde_wsp_MGPATH/truong/JEPA/baselines/Var-T-JEPA/datasets/subset_views/size_10000",
|
| 8 |
+
"data_set": "covertype",
|
| 9 |
+
"model_name": "autoint",
|
| 10 |
+
"using_embedding": true,
|
| 11 |
+
"emb_train": "/pfss/mlde/workspaces/mlde_wsp_MGPATH/truong/JEPA/reproduction/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q2-gpu2-delay50-kl1e-7/pretrain/wjepa_joint/covertype/20260918_032511/embedding.npy",
|
| 12 |
+
"emb_test": "/pfss/mlde/workspaces/mlde_wsp_MGPATH/truong/JEPA/reproduction/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q2-gpu2-delay50-kl1e-7/pretrain/wjepa_joint/covertype/20260918_032511/embedding.npy",
|
| 13 |
+
"use_split_assignments": true,
|
| 14 |
+
"exp_train_total_epochs": 50,
|
| 15 |
+
"split_config_file": "/tmp/tmpzqup56ug/split_data/split_config.json",
|
| 16 |
+
"sigma_aggregation": "mean",
|
| 17 |
+
"lr": 0.001,
|
| 18 |
+
"weight_decay": 0.01,
|
| 19 |
+
"batch_size": 128,
|
| 20 |
+
"exp_patience": 16,
|
| 21 |
+
"encoder_type": "linear_flatten",
|
| 22 |
+
"activation": "relu",
|
| 23 |
+
"initialization": "kaiming",
|
| 24 |
+
"n_layers": 3,
|
| 25 |
+
"d_token": 128,
|
| 26 |
+
"n_heads": 2,
|
| 27 |
+
"attention_dropout": 0.1,
|
| 28 |
+
"residual_dropout": 0.1,
|
| 29 |
+
"prenormalization": false,
|
| 30 |
+
"filter_uncertainty": true,
|
| 31 |
+
"uncertainty_test": "/pfss/mlde/workspaces/mlde_wsp_MGPATH/truong/JEPA/reproduction/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q2-gpu2-delay50-kl1e-7/pretrain/wjepa_joint/covertype/20260918_032511/uncertainty.npy"
|
| 32 |
+
},
|
| 33 |
+
"runs": [
|
| 34 |
+
{
|
| 35 |
+
"seed": 0,
|
| 36 |
+
"val_metrics": {
|
| 37 |
+
"covertype_val_loss": 0.5902633666992188,
|
| 38 |
+
"lr": 0.0,
|
| 39 |
+
"covertype_val_accuracy": 0.7657657861709595,
|
| 40 |
+
"covertype_val_precision": 0.759695827960968,
|
| 41 |
+
"covertype_val_recall": 0.7657657861709595,
|
| 42 |
+
"covertype_val_f1-score": 0.7604009509086609,
|
| 43 |
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"covertype_val_support": 999.0,
|
| 44 |
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"covertype_val_score": 0.7657657861709595
|
| 45 |
+
},
|
| 46 |
+
"test_metrics": {
|
| 47 |
+
"0": {
|
| 48 |
+
"covertype_test_loss": 0.5974569916725159,
|
| 49 |
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"lr": 0.0,
|
| 50 |
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"covertype_test_accuracy": 0.7590000033378601,
|
| 51 |
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"covertype_test_precision": 0.7591803073883057,
|
| 52 |
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"covertype_test_recall": 0.7590000033378601,
|
| 53 |
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"covertype_test_f1-score": 0.7569896578788757,
|
| 54 |
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"covertype_test_support": 2000.0,
|
| 55 |
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"covertype_test_score": 0.7590000033378601
|
| 56 |
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},
|
| 57 |
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"5": {
|
| 58 |
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"covertype_test_loss": 0.577203631401062,
|
| 59 |
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"covertype_test_accuracy": 0.7657894492149353,
|
| 60 |
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"covertype_test_precision": 0.7651771903038025,
|
| 61 |
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"covertype_test_recall": 0.7657894492149353,
|
| 62 |
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"covertype_test_f1-score": 0.7641498446464539,
|
| 63 |
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"covertype_test_support": 1900.0,
|
| 64 |
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"covertype_test_score": 0.7657894492149353
|
| 65 |
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},
|
| 66 |
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"10": {
|
| 67 |
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"covertype_test_loss": 0.5676435232162476,
|
| 68 |
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"covertype_test_accuracy": 0.7683333158493042,
|
| 69 |
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"covertype_test_precision": 0.7677152156829834,
|
| 70 |
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"covertype_test_recall": 0.7683333158493042,
|
| 71 |
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"covertype_test_f1-score": 0.766859233379364,
|
| 72 |
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"covertype_test_support": 1800.0,
|
| 73 |
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"covertype_test_score": 0.7683333158493042
|
| 74 |
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},
|
| 75 |
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"20": {
|
| 76 |
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"covertype_test_loss": 0.5204799771308899,
|
| 77 |
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"covertype_test_accuracy": 0.7756249904632568,
|
| 78 |
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|
| 79 |
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"covertype_test_recall": 0.7756249904632568,
|
| 80 |
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"covertype_test_f1-score": 0.7743678092956543,
|
| 81 |
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"covertype_test_support": 1600.0,
|
| 82 |
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"covertype_test_score": 0.7756249904632568
|
| 83 |
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},
|
| 84 |
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"50": {
|
| 85 |
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"covertype_test_loss": 0.5136148929595947,
|
| 86 |
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"covertype_test_accuracy": 0.7770000100135803,
|
| 87 |
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"covertype_test_precision": 0.7781602740287781,
|
| 88 |
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"covertype_test_recall": 0.7770000100135803,
|
| 89 |
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"covertype_test_f1-score": 0.7764983773231506,
|
| 90 |
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"covertype_test_support": 1000.0,
|
| 91 |
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"covertype_test_score": 0.7770000100135803
|
| 92 |
+
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|
JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q2-gpu2-delay50-kl1e-7/pretrain/wjepa_joint/covertype/20260918_032511/downstream_results/dcnv2_covertype_downstream_results.json
ADDED
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@@ -0,0 +1,567 @@
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|
JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q2-gpu2-delay50-kl1e-7/pretrain/wjepa_joint/covertype/20260918_032511/downstream_results/fttransformer_covertype_downstream_results.json
ADDED
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| 540 |
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| 541 |
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| 542 |
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| 543 |
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| 544 |
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| 546 |
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| 547 |
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| 548 |
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| 552 |
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| 553 |
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| 556 |
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| 557 |
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| 558 |
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| 560 |
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| 564 |
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| 565 |
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| 566 |
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| 567 |
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|
JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q2-gpu2-delay50-kl1e-7/pretrain/wjepa_joint/covertype/20260918_032511/downstream_results/mlp_covertype_downstream_results.json
ADDED
|
@@ -0,0 +1,563 @@
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|
| 1 |
+
{
|
| 2 |
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"dataset": "covertype",
|
| 3 |
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"model": "mlp",
|
| 4 |
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"config": {
|
| 5 |
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"script_path": "src/run_benchmark.py",
|
| 6 |
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|
| 7 |
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|
| 8 |
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| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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| 14 |
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| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 20 |
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| 21 |
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| 22 |
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| 23 |
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| 24 |
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| 25 |
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| 26 |
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|
| 27 |
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},
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| 28 |
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"runs": [
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| 29 |
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{
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| 30 |
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"seed": 0,
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| 31 |
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"val_metrics": {
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| 32 |
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| 39 |
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| 40 |
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| 41 |
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|
JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q2-gpu2-delay50-kl1e-7/pretrain/wjepa_joint/covertype/20260918_032511/downstream_results/resnet_covertype_downstream_results.json
ADDED
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@@ -0,0 +1,566 @@
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JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q2-gpu2-delay50-kl1e-7/pretrain/wjepa_joint/covertype/20260918_032511/vtjepa_best_model.pth
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| 1 |
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activation_checkpointing: false
|
| 2 |
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batch_size: 512
|
| 3 |
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data_loader_nprocs: 0
|
| 4 |
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data_path: /pfss/mlde/workspaces/mlde_wsp_MGPATH/truong/JEPA/baselines/Var-T-JEPA/datasets/subset_views/size_10000
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data_set: covertype
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deterministic_mode: warn
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exp_cadence_type: improvement
|
| 10 |
+
exp_device: null
|
| 11 |
+
exp_final_lr: 0.0
|
| 12 |
+
exp_final_weight_decay: 0.0
|
| 13 |
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exp_gradient_clipping: 1.0
|
| 14 |
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exp_ipe_scale: 1.0
|
| 15 |
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exp_lr: 0.0005
|
| 16 |
+
exp_n_runs: 1
|
| 17 |
+
exp_patience: 25
|
| 18 |
+
exp_scheduler: true
|
| 19 |
+
exp_start_lr: 0.0
|
| 20 |
+
exp_train_total_epochs: 500
|
| 21 |
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exp_val_cache_cadence: 1
|
| 22 |
+
exp_warmup: 12
|
| 23 |
+
exp_weight_decay: 0.0
|
| 24 |
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exp_weight_decay_scheduler: true
|
| 25 |
+
full_dataset_cuda: false
|
| 26 |
+
init_type: trunc_normal
|
| 27 |
+
is_batchlearning: true
|
| 28 |
+
iteration: 0
|
| 29 |
+
jepa_objective: w_jepa_joint
|
| 30 |
+
latent_architecture: stochastic
|
| 31 |
+
load_from_checkpoint: false
|
| 32 |
+
load_path: null
|
| 33 |
+
log_sigma_x_init: -2.0
|
| 34 |
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log_sigma_y_init: -2.0
|
| 35 |
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log_tensorboard: false
|
| 36 |
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logvar_init_bias: -4.0
|
| 37 |
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logvar_init_std: 0.005
|
| 38 |
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mask_allow_overlap: false
|
| 39 |
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mask_max_ctx_share: 0.35
|
| 40 |
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mask_max_trgt_share: 0.6
|
| 41 |
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mask_min_ctx_share: 0.15
|
| 42 |
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mask_min_trgt_share: 0.15
|
| 43 |
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mask_num_encs: 1
|
| 44 |
+
mask_num_preds: 4
|
| 45 |
+
mask_seed: 0
|
| 46 |
+
mock: false
|
| 47 |
+
model_act_func: relu
|
| 48 |
+
model_amp: false
|
| 49 |
+
model_dim_feedforward: 64
|
| 50 |
+
model_dim_hidden: 64
|
| 51 |
+
model_dropout_prob: 0.0015
|
| 52 |
+
model_dtype: float32
|
| 53 |
+
model_feature_index_embedding: true
|
| 54 |
+
model_feature_type_embedding: true
|
| 55 |
+
model_layer_norm_eps: 1.0e-05
|
| 56 |
+
model_num_heads: 8
|
| 57 |
+
model_num_layers: 8
|
| 58 |
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model_selection: filtered_20
|
| 59 |
+
mp_distributed: false
|
| 60 |
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mp_gpus: 1
|
| 61 |
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mp_nodes: 1
|
| 62 |
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mp_nr: 0
|
| 63 |
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mu_init_std: 0.03
|
| 64 |
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n_cls_tokens: 1
|
| 65 |
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np_seed: 42
|
| 66 |
+
pin_memory: false
|
| 67 |
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pooled_context_representation_size_for_auxiliary_encoder: 1
|
| 68 |
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pooled_context_representation_size_for_target_posterior: 1
|
| 69 |
+
pre_evaluation: true
|
| 70 |
+
pred_activation: relu
|
| 71 |
+
pred_dim_feedforward: 256
|
| 72 |
+
pred_embed_dim: 16
|
| 73 |
+
pred_layer_norm_eps: 1.0e-05
|
| 74 |
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pred_num_heads: 4
|
| 75 |
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pred_num_layers: 16
|
| 76 |
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pred_p_dropout: 0.002
|
| 77 |
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pred_type: transformer
|
| 78 |
+
predictive_target_detach: false
|
| 79 |
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probe_cadence: 2
|
| 80 |
+
probe_encoder_type: target_posterior
|
| 81 |
+
probe_model: linear_probe
|
| 82 |
+
probe_representation_type: mean
|
| 83 |
+
random: false
|
| 84 |
+
recon_x_weight: 0.001
|
| 85 |
+
recon_y_weight: 0.5
|
| 86 |
+
res_dir: ./
|
| 87 |
+
safe_exit: false
|
| 88 |
+
sigma_aggregation: mean
|
| 89 |
+
subset_size: -1
|
| 90 |
+
sw_full_num_projections: 2048
|
| 91 |
+
sw_include_marginals: true
|
| 92 |
+
sw_marginal_num_projections: 1024
|
| 93 |
+
sw_p: 2
|
| 94 |
+
sw_s_x_weight: 0.00075
|
| 95 |
+
sw_s_y_weight: 7.5e-05
|
| 96 |
+
sw_seed: 0
|
| 97 |
+
sw_z_weight: 7.5e-05
|
| 98 |
+
test: false
|
| 99 |
+
torch_seed: 42
|
| 100 |
+
using_embedding: false
|
| 101 |
+
verbose: false
|
| 102 |
+
vtjepa_kl_x_annealing_epochs: 60
|
| 103 |
+
vtjepa_kl_x_end_weight: 1.0e-06
|
| 104 |
+
vtjepa_kl_x_start_epoch: 1
|
| 105 |
+
vtjepa_kl_x_start_weight: 0.0
|
| 106 |
+
vtjepa_kl_y_annealing_epochs: 50
|
| 107 |
+
vtjepa_kl_y_end_weight: 1.0e-07
|
| 108 |
+
vtjepa_kl_y_start_epoch: 50
|
| 109 |
+
vtjepa_kl_y_start_weight: 0.0
|
| 110 |
+
vtjepa_kl_z_annealing_epochs: 60
|
| 111 |
+
vtjepa_kl_z_end_weight: 1.0e-05
|
| 112 |
+
vtjepa_kl_z_start_epoch: 1
|
| 113 |
+
vtjepa_kl_z_start_weight: 0.0
|
| 114 |
+
wjepa_joint_annealing_epochs: 60
|
| 115 |
+
wjepa_joint_end_weight: 0.001875
|
| 116 |
+
wjepa_joint_start_epoch: 1
|
| 117 |
+
wjepa_joint_start_weight: 0.0
|
| 118 |
+
wjepa_marginal_end_scale: 1.0
|
| 119 |
+
wjepa_marginal_start_scale: 0.0
|
| 120 |
+
wjepa_s_x_annealing_epochs: 30
|
| 121 |
+
wjepa_s_x_end_scale: 1.0
|
| 122 |
+
wjepa_s_x_start_epoch: 0
|
| 123 |
+
wjepa_s_x_start_scale: 0.0
|
| 124 |
+
wjepa_s_y_annealing_epochs: 30
|
| 125 |
+
wjepa_s_y_end_scale: 1.0
|
| 126 |
+
wjepa_s_y_start_epoch: 0
|
| 127 |
+
wjepa_s_y_start_scale: 0.0
|
| 128 |
+
wjepa_z_annealing_epochs: 30
|
| 129 |
+
wjepa_z_end_scale: 1.0
|
| 130 |
+
wjepa_z_start_epoch: 0
|
| 131 |
+
wjepa_z_start_scale: 0.0
|
JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q3-gpu2-delay40-kl5e-8/pretrain/paper_alignment_manifest.json
ADDED
|
@@ -0,0 +1,247 @@
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|
|
| 1 |
+
{
|
| 2 |
+
"code_variant": "paper-aligned-v5-flattened-block-pooled-sw",
|
| 3 |
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"upstream_commit": "eba7a9b1e01bb6613f4968b0f460d1bd1ae409ef",
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"source_sha256": {
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"src/encoder.py": "c29e003ed6a59e239cfe5cbc6823817fed99c54bfa2f4ffa94bc9ea8eb6f777c",
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"src/mask.py": "e7f57ec6d07cbc6a2d9bc3ef8b48dbaeae8279ecb676b0425226675cbf42c437",
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"src/run_vtjepa.py": "2f44128407503aee95afb939be1faeed557de3124783e7d116a50f53eaf20dc2",
|
| 8 |
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"src/train_vtjepa.py": "60011dfabb086ae93bb0bb56db2057ca9c1009f2d7fb1a13fcbddb212fbbb1f5",
|
| 9 |
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"src/vtjepa.py": "b8eee4631a2599941fc2db8b4cc17c3f383722749838b9bc7e0267e77537cf6e",
|
| 10 |
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"src/d_jepa.py": "f0d9b1f435f6d76aebd72f06e48fa255fa37b7c1ebb3906a78502c5e08774866",
|
| 11 |
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"src/jepa_model.py": "69f08f390513d6f90566dcb6ea79743143bdaa46020493582f47b4d5cb278927",
|
| 12 |
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"src/vtjepa_configs.py": "6f549d93958ab1affbd2c77d8a8ce98e02e4150e008e9989bbcc31323e709a76",
|
| 13 |
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"src/downstream_pipeline.py": "13e4032713b8fddde763d5310cef40aaf98aeb2dde43d5b2a234cb2f4a60edc5",
|
| 14 |
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"src/sliced_wasserstein.py": "2577a99ea0e5c7c2239cd1670ca9d1833f0fd87b9c11754264afd07a33b13053"
|
| 15 |
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},
|
| 16 |
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"dataset": "covertype",
|
| 17 |
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"objective": "w_jepa_joint",
|
| 18 |
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"latent_architecture": "stochastic",
|
| 19 |
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"model_selection": "filtered_20",
|
| 20 |
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"seeds": {
|
| 21 |
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"torch": 42,
|
| 22 |
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"numpy": 42,
|
| 23 |
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"mask": 0,
|
| 24 |
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"sliced_wasserstein": 0
|
| 25 |
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},
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| 26 |
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"smoke": false,
|
| 27 |
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"sw_include_marginals": true,
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| 28 |
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| 29 |
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|
| 30 |
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| 31 |
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| 32 |
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"s_x": 0.00075,
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| 33 |
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"z": 7.5e-05,
|
| 34 |
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"s_y": 7.5e-05
|
| 35 |
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},
|
| 36 |
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"predictive_kl": {
|
| 37 |
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"enabled": true,
|
| 38 |
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"direction": "q_target_posterior_to_p_predictor",
|
| 39 |
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"start_weight": 0.0,
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| 40 |
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|
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|
| 42 |
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|
| 43 |
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},
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| 44 |
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| 58 |
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| 59 |
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|
| 60 |
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}
|
| 61 |
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},
|
| 62 |
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"command": [
|
| 63 |
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"/pfss/mlde/workspaces/mlde_wsp_MGPATH/truong/JEPA/.venv/bin/python",
|
| 64 |
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"-W",
|
| 65 |
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"ignore",
|
| 66 |
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"-m",
|
| 67 |
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"src.run_vtjepa",
|
| 68 |
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"--data_set",
|
| 69 |
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"covertype",
|
| 70 |
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"--data_path",
|
| 71 |
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"/pfss/mlde/workspaces/mlde_wsp_MGPATH/truong/JEPA/baselines/Var-T-JEPA/datasets/subset_views/size_10000",
|
| 72 |
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"--batch_size",
|
| 73 |
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"512",
|
| 74 |
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| 75 |
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"64",
|
| 76 |
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| 77 |
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"64",
|
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"8",
|
| 80 |
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"8",
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| 82 |
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"--model_dropout_prob",
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| 83 |
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"0.0015",
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| 84 |
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|
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"true",
|
| 86 |
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"true",
|
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|
| 89 |
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"500",
|
| 90 |
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"--init_type",
|
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"trunc_normal",
|
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"true",
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| 94 |
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"false",
|
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|
| 97 |
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|
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"0.35",
|
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|
| 101 |
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"0.15",
|
| 102 |
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"--mask_max_trgt_share",
|
| 103 |
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"0.6",
|
| 104 |
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"--mask_num_preds",
|
| 105 |
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"4",
|
| 106 |
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"--pred_num_layers",
|
| 107 |
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"16",
|
| 108 |
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"--pred_embed_dim",
|
| 109 |
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"16",
|
| 110 |
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"--pred_num_heads",
|
| 111 |
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"4",
|
| 112 |
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"--pred_p_dropout",
|
| 113 |
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"0.002",
|
| 114 |
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"--pred_dim_feedforward",
|
| 115 |
+
"256",
|
| 116 |
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"--pred_type",
|
| 117 |
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"transformer",
|
| 118 |
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"--probe_model",
|
| 119 |
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"linear_probe",
|
| 120 |
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"--probe_cadence",
|
| 121 |
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"2",
|
| 122 |
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"--probe_representation_type",
|
| 123 |
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"mean",
|
| 124 |
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"--probe_encoder_type",
|
| 125 |
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"target_posterior",
|
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"--downstream_evaluation_epochs",
|
| 127 |
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"50",
|
| 128 |
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"--downstream_probe_patience",
|
| 129 |
+
"20",
|
| 130 |
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"--exp_final_lr",
|
| 131 |
+
"0.0",
|
| 132 |
+
"--exp_final_weight_decay",
|
| 133 |
+
"0.0",
|
| 134 |
+
"--exp_start_lr",
|
| 135 |
+
"0.0",
|
| 136 |
+
"--exp_patience",
|
| 137 |
+
"25",
|
| 138 |
+
"--exp_weight_decay",
|
| 139 |
+
"0.0",
|
| 140 |
+
"--exp_lr",
|
| 141 |
+
"0.0005",
|
| 142 |
+
"--exp_warmup",
|
| 143 |
+
"12",
|
| 144 |
+
"--log_tensorboard",
|
| 145 |
+
"false",
|
| 146 |
+
"--n_cls_tokens",
|
| 147 |
+
"1",
|
| 148 |
+
"--vtjepa_kl_x_start_weight",
|
| 149 |
+
"0",
|
| 150 |
+
"--vtjepa_kl_x_end_weight",
|
| 151 |
+
"1e-06",
|
| 152 |
+
"--vtjepa_kl_x_annealing_epochs",
|
| 153 |
+
"60",
|
| 154 |
+
"--vtjepa_kl_z_start_weight",
|
| 155 |
+
"0",
|
| 156 |
+
"--vtjepa_kl_z_end_weight",
|
| 157 |
+
"1e-05",
|
| 158 |
+
"--vtjepa_kl_z_annealing_epochs",
|
| 159 |
+
"60",
|
| 160 |
+
"--vtjepa_kl_y_start_weight",
|
| 161 |
+
"0.0",
|
| 162 |
+
"--vtjepa_kl_y_end_weight",
|
| 163 |
+
"5e-08",
|
| 164 |
+
"--vtjepa_kl_y_annealing_epochs",
|
| 165 |
+
"50",
|
| 166 |
+
"--vtjepa_kl_x_start_epoch",
|
| 167 |
+
"1",
|
| 168 |
+
"--vtjepa_kl_z_start_epoch",
|
| 169 |
+
"1",
|
| 170 |
+
"--vtjepa_kl_y_start_epoch",
|
| 171 |
+
"40",
|
| 172 |
+
"--recon_x_weight",
|
| 173 |
+
"0.001",
|
| 174 |
+
"--recon_y_weight",
|
| 175 |
+
"0.5",
|
| 176 |
+
"--mu_init_std",
|
| 177 |
+
"0.03",
|
| 178 |
+
"--logvar_init_std",
|
| 179 |
+
"0.005",
|
| 180 |
+
"--logvar_init_bias",
|
| 181 |
+
"-4.0",
|
| 182 |
+
"--log_sigma_x_init",
|
| 183 |
+
"-2.0",
|
| 184 |
+
"--log_sigma_y_init",
|
| 185 |
+
"-2.0",
|
| 186 |
+
"--pooled_context_representation_size_for_target_posterior",
|
| 187 |
+
"1",
|
| 188 |
+
"--pooled_context_representation_size_for_auxiliary_encoder",
|
| 189 |
+
"1",
|
| 190 |
+
"--sigma_aggregation",
|
| 191 |
+
"mean",
|
| 192 |
+
"--model_selection",
|
| 193 |
+
"filtered_20",
|
| 194 |
+
"--jepa_objective",
|
| 195 |
+
"w_jepa_joint",
|
| 196 |
+
"--latent_architecture",
|
| 197 |
+
"stochastic",
|
| 198 |
+
"--wjepa_joint_start_weight",
|
| 199 |
+
"0.0",
|
| 200 |
+
"--wjepa_joint_end_weight",
|
| 201 |
+
"0.001875",
|
| 202 |
+
"--wjepa_joint_start_epoch",
|
| 203 |
+
"1",
|
| 204 |
+
"--wjepa_joint_annealing_epochs",
|
| 205 |
+
"60",
|
| 206 |
+
"--wjepa_s_x_start_epoch",
|
| 207 |
+
"0",
|
| 208 |
+
"--wjepa_s_x_annealing_epochs",
|
| 209 |
+
"30",
|
| 210 |
+
"--wjepa_z_start_epoch",
|
| 211 |
+
"0",
|
| 212 |
+
"--wjepa_z_annealing_epochs",
|
| 213 |
+
"30",
|
| 214 |
+
"--wjepa_s_y_start_epoch",
|
| 215 |
+
"0",
|
| 216 |
+
"--wjepa_s_y_annealing_epochs",
|
| 217 |
+
"30",
|
| 218 |
+
"--sw_full_num_projections",
|
| 219 |
+
"2048",
|
| 220 |
+
"--sw_marginal_num_projections",
|
| 221 |
+
"1024",
|
| 222 |
+
"--sw_p",
|
| 223 |
+
"2",
|
| 224 |
+
"--sw_include_marginals",
|
| 225 |
+
"true",
|
| 226 |
+
"--sw_s_x_weight",
|
| 227 |
+
"0.00075",
|
| 228 |
+
"--sw_z_weight",
|
| 229 |
+
"7.5e-05",
|
| 230 |
+
"--sw_s_y_weight",
|
| 231 |
+
"7.5e-05",
|
| 232 |
+
"--torch_seed",
|
| 233 |
+
"42",
|
| 234 |
+
"--np_seed",
|
| 235 |
+
"42",
|
| 236 |
+
"--mask_seed",
|
| 237 |
+
"0",
|
| 238 |
+
"--sw_seed",
|
| 239 |
+
"0",
|
| 240 |
+
"--deterministic_mode",
|
| 241 |
+
"warn",
|
| 242 |
+
"--random",
|
| 243 |
+
"false",
|
| 244 |
+
"--safe_exit",
|
| 245 |
+
"false"
|
| 246 |
+
]
|
| 247 |
+
}
|
JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q3-gpu2-delay40-kl5e-8/pretrain/wjepa_joint/covertype/20260918_032539/downstream_results/autoint_covertype_downstream_results.json
ADDED
|
@@ -0,0 +1,568 @@
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|
| 1 |
+
{
|
| 2 |
+
"dataset": "covertype",
|
| 3 |
+
"model": "autoint",
|
| 4 |
+
"config": {
|
| 5 |
+
"script_path": "src/run_benchmark.py",
|
| 6 |
+
"folder_name": "/tmp/tmpgbilp61y",
|
| 7 |
+
"data_path": "/pfss/mlde/workspaces/mlde_wsp_MGPATH/truong/JEPA/baselines/Var-T-JEPA/datasets/subset_views/size_10000",
|
| 8 |
+
"data_set": "covertype",
|
| 9 |
+
"model_name": "autoint",
|
| 10 |
+
"using_embedding": true,
|
| 11 |
+
"emb_train": "/pfss/mlde/workspaces/mlde_wsp_MGPATH/truong/JEPA/reproduction/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q3-gpu2-delay40-kl5e-8/pretrain/wjepa_joint/covertype/20260918_032539/embedding.npy",
|
| 12 |
+
"emb_test": "/pfss/mlde/workspaces/mlde_wsp_MGPATH/truong/JEPA/reproduction/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q3-gpu2-delay40-kl5e-8/pretrain/wjepa_joint/covertype/20260918_032539/embedding.npy",
|
| 13 |
+
"use_split_assignments": true,
|
| 14 |
+
"exp_train_total_epochs": 50,
|
| 15 |
+
"split_config_file": "/tmp/tmpgbilp61y/split_data/split_config.json",
|
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JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q3-gpu2-delay40-kl5e-8/pretrain/wjepa_joint/covertype/20260918_032539/downstream_results/dcnv2_covertype_downstream_results.json
ADDED
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JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q3-gpu2-delay40-kl5e-8/pretrain/wjepa_joint/covertype/20260918_032539/downstream_results/fttransformer_covertype_downstream_results.json
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|
| 1 |
+
{
|
| 2 |
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| 3 |
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| 4 |
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| 5 |
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| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 10 |
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| 11 |
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| 12 |
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| 13 |
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| 14 |
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| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 31 |
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| 32 |
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| 33 |
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|
JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q3-gpu2-delay40-kl5e-8/pretrain/wjepa_joint/covertype/20260918_032539/downstream_results/mlp_covertype_downstream_results.json
ADDED
|
@@ -0,0 +1,563 @@
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|
| 1 |
+
{
|
| 2 |
+
"dataset": "covertype",
|
| 3 |
+
"model": "mlp",
|
| 4 |
+
"config": {
|
| 5 |
+
"script_path": "src/run_benchmark.py",
|
| 6 |
+
"folder_name": "/tmp/tmp5r2ghewq",
|
| 7 |
+
"data_path": "/pfss/mlde/workspaces/mlde_wsp_MGPATH/truong/JEPA/baselines/Var-T-JEPA/datasets/subset_views/size_10000",
|
| 8 |
+
"data_set": "covertype",
|
| 9 |
+
"model_name": "mlp",
|
| 10 |
+
"using_embedding": true,
|
| 11 |
+
"emb_train": "/pfss/mlde/workspaces/mlde_wsp_MGPATH/truong/JEPA/reproduction/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q3-gpu2-delay40-kl5e-8/pretrain/wjepa_joint/covertype/20260918_032539/embedding.npy",
|
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|
JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q3-gpu2-delay40-kl5e-8/pretrain/wjepa_joint/covertype/20260918_032539/downstream_results/resnet_covertype_downstream_results.json
ADDED
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|
JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q3-gpu2-delay40-kl5e-8/pretrain/wjepa_joint/covertype/20260918_032539/embedding.npy
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:edd2c6c5e5c32ef5cdaca76bb0866367f9c1e8fccb2a336aba9e9c7273cd2e1d
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| 3 |
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size 138240128
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JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q3-gpu2-delay40-kl5e-8/pretrain/wjepa_joint/covertype/20260918_032539/uncertainty.npy
ADDED
|
@@ -0,0 +1,3 @@
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|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:c532fd9a06f2c6342961097bae745726bba0bd453958801bd1daa4c7e699633a
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| 3 |
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size 138240128
|
JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q3-gpu2-delay40-kl5e-8/pretrain/wjepa_joint/covertype/20260918_032539/vtjepa_best_model.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:6324a0a07467453882777e77ce11e9b693c73b7a27db77585dd2d676ad8fbb7e
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| 3 |
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size 11517584
|
JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q3-gpu2-delay40-kl5e-8/pretrain/wjepa_joint/covertype/20260918_032539/vtjepa_config.yaml
ADDED
|
@@ -0,0 +1,131 @@
|
|
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|
|
|
|
|
|
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|
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|
|
|
|
| 1 |
+
activation_checkpointing: false
|
| 2 |
+
batch_size: 512
|
| 3 |
+
data_loader_nprocs: 0
|
| 4 |
+
data_path: /pfss/mlde/workspaces/mlde_wsp_MGPATH/truong/JEPA/baselines/Var-T-JEPA/datasets/subset_views/size_10000
|
| 5 |
+
data_set: covertype
|
| 6 |
+
deterministic_mode: warn
|
| 7 |
+
downstream_evaluation_epochs: 50
|
| 8 |
+
downstream_probe_patience: 20
|
| 9 |
+
exp_cadence_type: improvement
|
| 10 |
+
exp_device: null
|
| 11 |
+
exp_final_lr: 0.0
|
| 12 |
+
exp_final_weight_decay: 0.0
|
| 13 |
+
exp_gradient_clipping: 1.0
|
| 14 |
+
exp_ipe_scale: 1.0
|
| 15 |
+
exp_lr: 0.0005
|
| 16 |
+
exp_n_runs: 1
|
| 17 |
+
exp_patience: 25
|
| 18 |
+
exp_scheduler: true
|
| 19 |
+
exp_start_lr: 0.0
|
| 20 |
+
exp_train_total_epochs: 500
|
| 21 |
+
exp_val_cache_cadence: 1
|
| 22 |
+
exp_warmup: 12
|
| 23 |
+
exp_weight_decay: 0.0
|
| 24 |
+
exp_weight_decay_scheduler: true
|
| 25 |
+
full_dataset_cuda: false
|
| 26 |
+
init_type: trunc_normal
|
| 27 |
+
is_batchlearning: true
|
| 28 |
+
iteration: 0
|
| 29 |
+
jepa_objective: w_jepa_joint
|
| 30 |
+
latent_architecture: stochastic
|
| 31 |
+
load_from_checkpoint: false
|
| 32 |
+
load_path: null
|
| 33 |
+
log_sigma_x_init: -2.0
|
| 34 |
+
log_sigma_y_init: -2.0
|
| 35 |
+
log_tensorboard: false
|
| 36 |
+
logvar_init_bias: -4.0
|
| 37 |
+
logvar_init_std: 0.005
|
| 38 |
+
mask_allow_overlap: false
|
| 39 |
+
mask_max_ctx_share: 0.35
|
| 40 |
+
mask_max_trgt_share: 0.6
|
| 41 |
+
mask_min_ctx_share: 0.15
|
| 42 |
+
mask_min_trgt_share: 0.15
|
| 43 |
+
mask_num_encs: 1
|
| 44 |
+
mask_num_preds: 4
|
| 45 |
+
mask_seed: 0
|
| 46 |
+
mock: false
|
| 47 |
+
model_act_func: relu
|
| 48 |
+
model_amp: false
|
| 49 |
+
model_dim_feedforward: 64
|
| 50 |
+
model_dim_hidden: 64
|
| 51 |
+
model_dropout_prob: 0.0015
|
| 52 |
+
model_dtype: float32
|
| 53 |
+
model_feature_index_embedding: true
|
| 54 |
+
model_feature_type_embedding: true
|
| 55 |
+
model_layer_norm_eps: 1.0e-05
|
| 56 |
+
model_num_heads: 8
|
| 57 |
+
model_num_layers: 8
|
| 58 |
+
model_selection: filtered_20
|
| 59 |
+
mp_distributed: false
|
| 60 |
+
mp_gpus: 1
|
| 61 |
+
mp_nodes: 1
|
| 62 |
+
mp_nr: 0
|
| 63 |
+
mu_init_std: 0.03
|
| 64 |
+
n_cls_tokens: 1
|
| 65 |
+
np_seed: 42
|
| 66 |
+
pin_memory: false
|
| 67 |
+
pooled_context_representation_size_for_auxiliary_encoder: 1
|
| 68 |
+
pooled_context_representation_size_for_target_posterior: 1
|
| 69 |
+
pre_evaluation: true
|
| 70 |
+
pred_activation: relu
|
| 71 |
+
pred_dim_feedforward: 256
|
| 72 |
+
pred_embed_dim: 16
|
| 73 |
+
pred_layer_norm_eps: 1.0e-05
|
| 74 |
+
pred_num_heads: 4
|
| 75 |
+
pred_num_layers: 16
|
| 76 |
+
pred_p_dropout: 0.002
|
| 77 |
+
pred_type: transformer
|
| 78 |
+
predictive_target_detach: false
|
| 79 |
+
probe_cadence: 2
|
| 80 |
+
probe_encoder_type: target_posterior
|
| 81 |
+
probe_model: linear_probe
|
| 82 |
+
probe_representation_type: mean
|
| 83 |
+
random: false
|
| 84 |
+
recon_x_weight: 0.001
|
| 85 |
+
recon_y_weight: 0.5
|
| 86 |
+
res_dir: ./
|
| 87 |
+
safe_exit: false
|
| 88 |
+
sigma_aggregation: mean
|
| 89 |
+
subset_size: -1
|
| 90 |
+
sw_full_num_projections: 2048
|
| 91 |
+
sw_include_marginals: true
|
| 92 |
+
sw_marginal_num_projections: 1024
|
| 93 |
+
sw_p: 2
|
| 94 |
+
sw_s_x_weight: 0.00075
|
| 95 |
+
sw_s_y_weight: 7.5e-05
|
| 96 |
+
sw_seed: 0
|
| 97 |
+
sw_z_weight: 7.5e-05
|
| 98 |
+
test: false
|
| 99 |
+
torch_seed: 42
|
| 100 |
+
using_embedding: false
|
| 101 |
+
verbose: false
|
| 102 |
+
vtjepa_kl_x_annealing_epochs: 60
|
| 103 |
+
vtjepa_kl_x_end_weight: 1.0e-06
|
| 104 |
+
vtjepa_kl_x_start_epoch: 1
|
| 105 |
+
vtjepa_kl_x_start_weight: 0.0
|
| 106 |
+
vtjepa_kl_y_annealing_epochs: 50
|
| 107 |
+
vtjepa_kl_y_end_weight: 5.0e-08
|
| 108 |
+
vtjepa_kl_y_start_epoch: 40
|
| 109 |
+
vtjepa_kl_y_start_weight: 0.0
|
| 110 |
+
vtjepa_kl_z_annealing_epochs: 60
|
| 111 |
+
vtjepa_kl_z_end_weight: 1.0e-05
|
| 112 |
+
vtjepa_kl_z_start_epoch: 1
|
| 113 |
+
vtjepa_kl_z_start_weight: 0.0
|
| 114 |
+
wjepa_joint_annealing_epochs: 60
|
| 115 |
+
wjepa_joint_end_weight: 0.001875
|
| 116 |
+
wjepa_joint_start_epoch: 1
|
| 117 |
+
wjepa_joint_start_weight: 0.0
|
| 118 |
+
wjepa_marginal_end_scale: 1.0
|
| 119 |
+
wjepa_marginal_start_scale: 0.0
|
| 120 |
+
wjepa_s_x_annealing_epochs: 30
|
| 121 |
+
wjepa_s_x_end_scale: 1.0
|
| 122 |
+
wjepa_s_x_start_epoch: 0
|
| 123 |
+
wjepa_s_x_start_scale: 0.0
|
| 124 |
+
wjepa_s_y_annealing_epochs: 30
|
| 125 |
+
wjepa_s_y_end_scale: 1.0
|
| 126 |
+
wjepa_s_y_start_epoch: 0
|
| 127 |
+
wjepa_s_y_start_scale: 0.0
|
| 128 |
+
wjepa_z_annealing_epochs: 30
|
| 129 |
+
wjepa_z_end_scale: 1.0
|
| 130 |
+
wjepa_z_start_epoch: 0
|
| 131 |
+
wjepa_z_start_scale: 0.0
|
JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q4-gpu3-delay60-kl3e-8/pretrain/paper_alignment_manifest.json
ADDED
|
@@ -0,0 +1,247 @@
|
|
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|
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|
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|
| 1 |
+
{
|
| 2 |
+
"code_variant": "paper-aligned-v5-flattened-block-pooled-sw",
|
| 3 |
+
"upstream_commit": "eba7a9b1e01bb6613f4968b0f460d1bd1ae409ef",
|
| 4 |
+
"source_sha256": {
|
| 5 |
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"src/encoder.py": "c29e003ed6a59e239cfe5cbc6823817fed99c54bfa2f4ffa94bc9ea8eb6f777c",
|
| 6 |
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"src/mask.py": "e7f57ec6d07cbc6a2d9bc3ef8b48dbaeae8279ecb676b0425226675cbf42c437",
|
| 7 |
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"src/run_vtjepa.py": "2f44128407503aee95afb939be1faeed557de3124783e7d116a50f53eaf20dc2",
|
| 8 |
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"src/train_vtjepa.py": "60011dfabb086ae93bb0bb56db2057ca9c1009f2d7fb1a13fcbddb212fbbb1f5",
|
| 9 |
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"src/vtjepa.py": "b8eee4631a2599941fc2db8b4cc17c3f383722749838b9bc7e0267e77537cf6e",
|
| 10 |
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"src/d_jepa.py": "f0d9b1f435f6d76aebd72f06e48fa255fa37b7c1ebb3906a78502c5e08774866",
|
| 11 |
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"src/jepa_model.py": "69f08f390513d6f90566dcb6ea79743143bdaa46020493582f47b4d5cb278927",
|
| 12 |
+
"src/vtjepa_configs.py": "6f549d93958ab1affbd2c77d8a8ce98e02e4150e008e9989bbcc31323e709a76",
|
| 13 |
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"src/downstream_pipeline.py": "13e4032713b8fddde763d5310cef40aaf98aeb2dde43d5b2a234cb2f4a60edc5",
|
| 14 |
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"src/sliced_wasserstein.py": "2577a99ea0e5c7c2239cd1670ca9d1833f0fd87b9c11754264afd07a33b13053"
|
| 15 |
+
},
|
| 16 |
+
"dataset": "covertype",
|
| 17 |
+
"objective": "w_jepa_joint",
|
| 18 |
+
"latent_architecture": "stochastic",
|
| 19 |
+
"model_selection": "filtered_20",
|
| 20 |
+
"seeds": {
|
| 21 |
+
"torch": 42,
|
| 22 |
+
"numpy": 42,
|
| 23 |
+
"mask": 0,
|
| 24 |
+
"sliced_wasserstein": 0
|
| 25 |
+
},
|
| 26 |
+
"smoke": false,
|
| 27 |
+
"sw_include_marginals": true,
|
| 28 |
+
"sw_full_num_projections": 2048,
|
| 29 |
+
"sw_marginal_num_projections": 1024,
|
| 30 |
+
"sw_component_weights": {
|
| 31 |
+
"full": 0.001875,
|
| 32 |
+
"s_x": 0.00075,
|
| 33 |
+
"z": 7.5e-05,
|
| 34 |
+
"s_y": 7.5e-05
|
| 35 |
+
},
|
| 36 |
+
"predictive_kl": {
|
| 37 |
+
"enabled": true,
|
| 38 |
+
"direction": "q_target_posterior_to_p_predictor",
|
| 39 |
+
"start_weight": 0.0,
|
| 40 |
+
"end_weight": 3e-08,
|
| 41 |
+
"start_epoch": 60,
|
| 42 |
+
"annealing_epochs": 40
|
| 43 |
+
},
|
| 44 |
+
"sw_annealing_schedule": {
|
| 45 |
+
"full": {
|
| 46 |
+
"start_epoch": 1,
|
| 47 |
+
"annealing_epochs": 60
|
| 48 |
+
},
|
| 49 |
+
"s_x": {
|
| 50 |
+
"start_epoch": 0,
|
| 51 |
+
"annealing_epochs": 30
|
| 52 |
+
},
|
| 53 |
+
"z": {
|
| 54 |
+
"start_epoch": 0,
|
| 55 |
+
"annealing_epochs": 30
|
| 56 |
+
},
|
| 57 |
+
"s_y": {
|
| 58 |
+
"start_epoch": 0,
|
| 59 |
+
"annealing_epochs": 30
|
| 60 |
+
}
|
| 61 |
+
},
|
| 62 |
+
"command": [
|
| 63 |
+
"/pfss/mlde/workspaces/mlde_wsp_MGPATH/truong/JEPA/.venv/bin/python",
|
| 64 |
+
"-W",
|
| 65 |
+
"ignore",
|
| 66 |
+
"-m",
|
| 67 |
+
"src.run_vtjepa",
|
| 68 |
+
"--data_set",
|
| 69 |
+
"covertype",
|
| 70 |
+
"--data_path",
|
| 71 |
+
"/pfss/mlde/workspaces/mlde_wsp_MGPATH/truong/JEPA/baselines/Var-T-JEPA/datasets/subset_views/size_10000",
|
| 72 |
+
"--batch_size",
|
| 73 |
+
"512",
|
| 74 |
+
"--model_dim_hidden",
|
| 75 |
+
"64",
|
| 76 |
+
"--model_dim_feedforward",
|
| 77 |
+
"64",
|
| 78 |
+
"--model_num_layers",
|
| 79 |
+
"8",
|
| 80 |
+
"--model_num_heads",
|
| 81 |
+
"8",
|
| 82 |
+
"--model_dropout_prob",
|
| 83 |
+
"0.0015",
|
| 84 |
+
"--model_feature_index_embedding",
|
| 85 |
+
"true",
|
| 86 |
+
"--model_feature_type_embedding",
|
| 87 |
+
"true",
|
| 88 |
+
"--exp_train_total_epochs",
|
| 89 |
+
"500",
|
| 90 |
+
"--init_type",
|
| 91 |
+
"trunc_normal",
|
| 92 |
+
"--pre_evaluation",
|
| 93 |
+
"true",
|
| 94 |
+
"--pin_memory",
|
| 95 |
+
"false",
|
| 96 |
+
"--mask_min_ctx_share",
|
| 97 |
+
"0.15",
|
| 98 |
+
"--mask_max_ctx_share",
|
| 99 |
+
"0.35",
|
| 100 |
+
"--mask_min_trgt_share",
|
| 101 |
+
"0.15",
|
| 102 |
+
"--mask_max_trgt_share",
|
| 103 |
+
"0.6",
|
| 104 |
+
"--mask_num_preds",
|
| 105 |
+
"4",
|
| 106 |
+
"--pred_num_layers",
|
| 107 |
+
"16",
|
| 108 |
+
"--pred_embed_dim",
|
| 109 |
+
"16",
|
| 110 |
+
"--pred_num_heads",
|
| 111 |
+
"4",
|
| 112 |
+
"--pred_p_dropout",
|
| 113 |
+
"0.002",
|
| 114 |
+
"--pred_dim_feedforward",
|
| 115 |
+
"256",
|
| 116 |
+
"--pred_type",
|
| 117 |
+
"transformer",
|
| 118 |
+
"--probe_model",
|
| 119 |
+
"linear_probe",
|
| 120 |
+
"--probe_cadence",
|
| 121 |
+
"2",
|
| 122 |
+
"--probe_representation_type",
|
| 123 |
+
"mean",
|
| 124 |
+
"--probe_encoder_type",
|
| 125 |
+
"target_posterior",
|
| 126 |
+
"--downstream_evaluation_epochs",
|
| 127 |
+
"50",
|
| 128 |
+
"--downstream_probe_patience",
|
| 129 |
+
"20",
|
| 130 |
+
"--exp_final_lr",
|
| 131 |
+
"0.0",
|
| 132 |
+
"--exp_final_weight_decay",
|
| 133 |
+
"0.0",
|
| 134 |
+
"--exp_start_lr",
|
| 135 |
+
"0.0",
|
| 136 |
+
"--exp_patience",
|
| 137 |
+
"25",
|
| 138 |
+
"--exp_weight_decay",
|
| 139 |
+
"0.0",
|
| 140 |
+
"--exp_lr",
|
| 141 |
+
"0.0005",
|
| 142 |
+
"--exp_warmup",
|
| 143 |
+
"12",
|
| 144 |
+
"--log_tensorboard",
|
| 145 |
+
"false",
|
| 146 |
+
"--n_cls_tokens",
|
| 147 |
+
"1",
|
| 148 |
+
"--vtjepa_kl_x_start_weight",
|
| 149 |
+
"0",
|
| 150 |
+
"--vtjepa_kl_x_end_weight",
|
| 151 |
+
"1e-06",
|
| 152 |
+
"--vtjepa_kl_x_annealing_epochs",
|
| 153 |
+
"60",
|
| 154 |
+
"--vtjepa_kl_z_start_weight",
|
| 155 |
+
"0",
|
| 156 |
+
"--vtjepa_kl_z_end_weight",
|
| 157 |
+
"1e-05",
|
| 158 |
+
"--vtjepa_kl_z_annealing_epochs",
|
| 159 |
+
"60",
|
| 160 |
+
"--vtjepa_kl_y_start_weight",
|
| 161 |
+
"0.0",
|
| 162 |
+
"--vtjepa_kl_y_end_weight",
|
| 163 |
+
"3e-08",
|
| 164 |
+
"--vtjepa_kl_y_annealing_epochs",
|
| 165 |
+
"40",
|
| 166 |
+
"--vtjepa_kl_x_start_epoch",
|
| 167 |
+
"1",
|
| 168 |
+
"--vtjepa_kl_z_start_epoch",
|
| 169 |
+
"1",
|
| 170 |
+
"--vtjepa_kl_y_start_epoch",
|
| 171 |
+
"60",
|
| 172 |
+
"--recon_x_weight",
|
| 173 |
+
"0.001",
|
| 174 |
+
"--recon_y_weight",
|
| 175 |
+
"0.5",
|
| 176 |
+
"--mu_init_std",
|
| 177 |
+
"0.03",
|
| 178 |
+
"--logvar_init_std",
|
| 179 |
+
"0.005",
|
| 180 |
+
"--logvar_init_bias",
|
| 181 |
+
"-4.0",
|
| 182 |
+
"--log_sigma_x_init",
|
| 183 |
+
"-2.0",
|
| 184 |
+
"--log_sigma_y_init",
|
| 185 |
+
"-2.0",
|
| 186 |
+
"--pooled_context_representation_size_for_target_posterior",
|
| 187 |
+
"1",
|
| 188 |
+
"--pooled_context_representation_size_for_auxiliary_encoder",
|
| 189 |
+
"1",
|
| 190 |
+
"--sigma_aggregation",
|
| 191 |
+
"mean",
|
| 192 |
+
"--model_selection",
|
| 193 |
+
"filtered_20",
|
| 194 |
+
"--jepa_objective",
|
| 195 |
+
"w_jepa_joint",
|
| 196 |
+
"--latent_architecture",
|
| 197 |
+
"stochastic",
|
| 198 |
+
"--wjepa_joint_start_weight",
|
| 199 |
+
"0.0",
|
| 200 |
+
"--wjepa_joint_end_weight",
|
| 201 |
+
"0.001875",
|
| 202 |
+
"--wjepa_joint_start_epoch",
|
| 203 |
+
"1",
|
| 204 |
+
"--wjepa_joint_annealing_epochs",
|
| 205 |
+
"60",
|
| 206 |
+
"--wjepa_s_x_start_epoch",
|
| 207 |
+
"0",
|
| 208 |
+
"--wjepa_s_x_annealing_epochs",
|
| 209 |
+
"30",
|
| 210 |
+
"--wjepa_z_start_epoch",
|
| 211 |
+
"0",
|
| 212 |
+
"--wjepa_z_annealing_epochs",
|
| 213 |
+
"30",
|
| 214 |
+
"--wjepa_s_y_start_epoch",
|
| 215 |
+
"0",
|
| 216 |
+
"--wjepa_s_y_annealing_epochs",
|
| 217 |
+
"30",
|
| 218 |
+
"--sw_full_num_projections",
|
| 219 |
+
"2048",
|
| 220 |
+
"--sw_marginal_num_projections",
|
| 221 |
+
"1024",
|
| 222 |
+
"--sw_p",
|
| 223 |
+
"2",
|
| 224 |
+
"--sw_include_marginals",
|
| 225 |
+
"true",
|
| 226 |
+
"--sw_s_x_weight",
|
| 227 |
+
"0.00075",
|
| 228 |
+
"--sw_z_weight",
|
| 229 |
+
"7.5e-05",
|
| 230 |
+
"--sw_s_y_weight",
|
| 231 |
+
"7.5e-05",
|
| 232 |
+
"--torch_seed",
|
| 233 |
+
"42",
|
| 234 |
+
"--np_seed",
|
| 235 |
+
"42",
|
| 236 |
+
"--mask_seed",
|
| 237 |
+
"0",
|
| 238 |
+
"--sw_seed",
|
| 239 |
+
"0",
|
| 240 |
+
"--deterministic_mode",
|
| 241 |
+
"warn",
|
| 242 |
+
"--random",
|
| 243 |
+
"false",
|
| 244 |
+
"--safe_exit",
|
| 245 |
+
"false"
|
| 246 |
+
]
|
| 247 |
+
}
|
JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q4-gpu3-delay60-kl3e-8/pretrain/wjepa_joint/covertype/20260918_032422/downstream_results/autoint_covertype_downstream_results.json
ADDED
|
@@ -0,0 +1,568 @@
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|
JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q4-gpu3-delay60-kl3e-8/pretrain/wjepa_joint/covertype/20260918_032422/downstream_results/dcnv2_covertype_downstream_results.json
ADDED
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|
| 1 |
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| 2 |
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| 3 |
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| 4 |
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| 8 |
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| 11 |
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| 13 |
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| 31 |
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|
JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q4-gpu3-delay60-kl3e-8/pretrain/wjepa_joint/covertype/20260918_032422/downstream_results/fttransformer_covertype_downstream_results.json
ADDED
|
@@ -0,0 +1,567 @@
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|
| 1 |
+
{
|
| 2 |
+
"dataset": "covertype",
|
| 3 |
+
"model": "fttransformer",
|
| 4 |
+
"config": {
|
| 5 |
+
"script_path": "src/run_benchmark.py",
|
| 6 |
+
"folder_name": "/tmp/tmpdlbq3utg",
|
| 7 |
+
"data_path": "/pfss/mlde/workspaces/mlde_wsp_MGPATH/truong/JEPA/baselines/Var-T-JEPA/datasets/subset_views/size_10000",
|
| 8 |
+
"data_set": "covertype",
|
| 9 |
+
"model_name": "fttransformer",
|
| 10 |
+
"using_embedding": true,
|
| 11 |
+
"emb_train": "/pfss/mlde/workspaces/mlde_wsp_MGPATH/truong/JEPA/reproduction/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q4-gpu3-delay60-kl3e-8/pretrain/wjepa_joint/covertype/20260918_032422/embedding.npy",
|
| 12 |
+
"emb_test": "/pfss/mlde/workspaces/mlde_wsp_MGPATH/truong/JEPA/reproduction/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q4-gpu3-delay60-kl3e-8/pretrain/wjepa_joint/covertype/20260918_032422/embedding.npy",
|
| 13 |
+
"use_split_assignments": true,
|
| 14 |
+
"exp_train_total_epochs": 50,
|
| 15 |
+
"split_config_file": "/tmp/tmpdlbq3utg/split_data/split_config.json",
|
| 16 |
+
"sigma_aggregation": "mean",
|
| 17 |
+
"lr": 0.001,
|
| 18 |
+
"weight_decay": 0.01,
|
| 19 |
+
"batch_size": 128,
|
| 20 |
+
"exp_patience": 16,
|
| 21 |
+
"encoder_type": "linear_flatten",
|
| 22 |
+
"n_blocks": 3,
|
| 23 |
+
"d_block": 128,
|
| 24 |
+
"attention_n_heads": 4,
|
| 25 |
+
"attention_dropout": 0.1,
|
| 26 |
+
"ffn_d_hidden_multiplier": 2.0,
|
| 27 |
+
"ffn_dropout": 0.1,
|
| 28 |
+
"residual_dropout": 0.0,
|
| 29 |
+
"filter_uncertainty": true,
|
| 30 |
+
"uncertainty_test": "/pfss/mlde/workspaces/mlde_wsp_MGPATH/truong/JEPA/reproduction/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q4-gpu3-delay60-kl3e-8/pretrain/wjepa_joint/covertype/20260918_032422/uncertainty.npy"
|
| 31 |
+
},
|
| 32 |
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|
JEPA/artifacts/wjepa_cov_kl_sweep3_ebe7d90_v1/q4-gpu3-delay60-kl3e-8/pretrain/wjepa_joint/covertype/20260918_032422/downstream_results/mlp_covertype_downstream_results.json
ADDED
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