pod backup 2026-11-07: pykt (3600-4000)

pykt/synth_l/coldstart/pykt-saint_plus_plus-ics2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 80.7, "epochs": 38, "best_epoch": 28, "dev_auc_pykt": 0.786977874430978, "n_train_users": 576, "n_train_chunks": 576, "n_dev_chunks": 144, "batch_size": 64, "seq_len": 200, "n_val_users": 144, "score_s": 1.8, "flip_max_diff": 0.0, "peak_gb": 3.94}

pykt/synth_l/coldstart/pykt-sakt-ics0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 4.7, "epochs": 14, "best_epoch": 4, "dev_auc_pykt": 0.6634888038409037, "n_train_users": 576, "n_train_chunks": 576, "n_dev_chunks": 144, "batch_size": 64, "seq_len": 200, "n_val_users": 144, "score_s": 0.3, "flip_max_diff": 0.0, "peak_gb": 0.42}

pykt/synth_l/coldstart/pykt-sakt-ics1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 6.0, "epochs": 13, "best_epoch": 3, "dev_auc_pykt": 0.6691309279530404, "n_train_users": 576, "n_train_chunks": 576, "n_dev_chunks": 144, "batch_size": 64, "seq_len": 200, "n_val_users": 144, "score_s": 0.4, "flip_max_diff": 0.0, "peak_gb": 0.42}

pykt/synth_l/coldstart/pykt-sakt-ics2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 5.3, "epochs": 13, "best_epoch": 3, "dev_auc_pykt": 0.6688039285002056, "n_train_users": 576, "n_train_chunks": 576, "n_dev_chunks": 144, "batch_size": 64, "seq_len": 200, "n_val_users": 144, "score_s": 0.4, "flip_max_diff": 0.0, "peak_gb": 0.42}

pykt/synth_l/coldstart/pykt-sparsekt-csN128-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 5.5, "epochs": 38, "best_epoch": 28, "dev_auc_pykt": 0.6901313365753021, "n_train_users": 102, "n_train_chunks": 102, "n_dev_chunks": 26, "batch_size": 64, "seq_len": 200, "n_val_users": 26, "score_s": 5.2, "flip_max_diff": 0.0, "peak_gb": 0.8}

pykt/synth_l/coldstart/pykt-sparsekt-csN128-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 4.7, "epochs": 32, "best_epoch": 22, "dev_auc_pykt": 0.6709392704967927, "n_train_users": 102, "n_train_chunks": 102, "n_dev_chunks": 26, "batch_size": 64, "seq_len": 200, "n_val_users": 26, "score_s": 5.4, "flip_max_diff": 0.0, "peak_gb": 0.83}

pykt/synth_l/coldstart/pykt-sparsekt-csN128-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 2.7, "epochs": 17, "best_epoch": 7, "dev_auc_pykt": 0.6447804935232402, "n_train_users": 102, "n_train_chunks": 102, "n_dev_chunks": 26, "batch_size": 64, "seq_len": 200, "n_val_users": 26, "score_s": 5.0, "flip_max_diff": 0.0, "peak_gb": 0.8}

pykt/synth_l/coldstart/pykt-sparsekt-csN128-s3/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 5.0, "epochs": 32, "best_epoch": 22, "dev_auc_pykt": 0.6671442786069652, "n_train_users": 102, "n_train_chunks": 102, "n_dev_chunks": 26, "batch_size": 64, "seq_len": 200, "n_val_users": 26, "score_s": 5.8, "flip_max_diff": 0.0, "peak_gb": 0.8}

pykt/synth_l/coldstart/pykt-sparsekt-csN128-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 3.3, "epochs": 26, "best_epoch": 16, "dev_auc_pykt": 0.6790700201832014, "n_train_users": 102, "n_train_chunks": 102, "n_dev_chunks": 26, "batch_size": 64, "seq_len": 200, "n_val_users": 26, "score_s": 3.3, "flip_max_diff": 0.0, "peak_gb": 0.85}

pykt/synth_l/coldstart/pykt-sparsekt-csN16-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 4.1, "epochs": 35, "best_epoch": 25, "dev_auc_pykt": 0.616703003875969, "n_train_users": 13, "n_train_chunks": 13, "n_dev_chunks": 3, "batch_size": 64, "seq_len": 200, "n_val_users": 3, "score_s": 9.9, "flip_max_diff": 0.0, "peak_gb": 0.54}

pykt/synth_l/coldstart/pykt-sparsekt-csN16-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 3.2, "epochs": 51, "best_epoch": 41, "dev_auc_pykt": 0.6296175220660346, "n_train_users": 13, "n_train_chunks": 13, "n_dev_chunks": 3, "batch_size": 64, "seq_len": 200, "n_val_users": 3, "score_s": 3.6, "flip_max_diff": 0.0, "peak_gb": 0.54}

pykt/synth_l/coldstart/pykt-sparsekt-csN16-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 2.9, "epochs": 52, "best_epoch": 42, "dev_auc_pykt": 0.6833062456466218, "n_train_users": 13, "n_train_chunks": 13, "n_dev_chunks": 3, "batch_size": 64, "seq_len": 200, "n_val_users": 3, "score_s": 4.0, "flip_max_diff": 0.0, "peak_gb": 0.55}

pykt/synth_l/coldstart/pykt-sparsekt-csN16-s3/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 6.2, "epochs": 79, "best_epoch": 69, "dev_auc_pykt": 0.697738937439312, "n_train_users": 13, "n_train_chunks": 13, "n_dev_chunks": 3, "batch_size": 64, "seq_len": 200, "n_val_users": 3, "score_s": 5.5, "flip_max_diff": 0.0, "peak_gb": 0.57}

pykt/synth_l/coldstart/pykt-sparsekt-csN16-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 0.5, "epochs": 11, "best_epoch": 1, "dev_auc_pykt": 0.5173893902707462, "n_train_users": 13, "n_train_chunks": 13, "n_dev_chunks": 3, "batch_size": 64, "seq_len": 200, "n_val_users": 3, "score_s": 5.4, "flip_max_diff": 0.0, "peak_gb": 0.57}

pykt/synth_l/coldstart/pykt-sparsekt-csN256-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 25.9, "epochs": 99, "best_epoch": 89, "dev_auc_pykt": 0.8872938737397043, "n_train_users": 205, "n_train_chunks": 205, "n_dev_chunks": 51, "batch_size": 64, "seq_len": 200, "n_val_users": 51, "score_s": 5.2, "flip_max_diff": 0.0, "peak_gb": 0.89}

pykt/synth_l/coldstart/pykt-sparsekt-csN256-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 30.7, "epochs": 110, "best_epoch": 100, "dev_auc_pykt": 0.8775622532122024, "n_train_users": 205, "n_train_chunks": 205, "n_dev_chunks": 51, "batch_size": 64, "seq_len": 200, "n_val_users": 51, "score_s": 5.6, "flip_max_diff": 0.0, "peak_gb": 0.83}

pykt/synth_l/coldstart/pykt-sparsekt-csN256-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 29.7, "epochs": 106, "best_epoch": 96, "dev_auc_pykt": 0.8971468041428066, "n_train_users": 205, "n_train_chunks": 205, "n_dev_chunks": 51, "batch_size": 64, "seq_len": 200, "n_val_users": 51, "score_s": 5.3, "flip_max_diff": 0.0, "peak_gb": 0.85}

pykt/synth_l/coldstart/pykt-sparsekt-csN256-s3/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 33.0, "epochs": 118, "best_epoch": 108, "dev_auc_pykt": 0.8883298461373387, "n_train_users": 205, "n_train_chunks": 205, "n_dev_chunks": 51, "batch_size": 64, "seq_len": 200, "n_val_users": 51, "score_s": 5.3, "flip_max_diff": 0.0, "peak_gb": 0.83}

pykt/synth_l/coldstart/pykt-sparsekt-csN256-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 28.9, "epochs": 105, "best_epoch": 95, "dev_auc_pykt": 0.8857295821462489, "n_train_users": 205, "n_train_chunks": 205, "n_dev_chunks": 51, "batch_size": 64, "seq_len": 200, "n_val_users": 51, "score_s": 3.2, "flip_max_diff": 0.0, "peak_gb": 0.87}

pykt/synth_l/coldstart/pykt-sparsekt-csN32-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 4.1, "epochs": 23, "best_epoch": 13, "dev_auc_pykt": 0.6293253968253969, "n_train_users": 26, "n_train_chunks": 26, "n_dev_chunks": 6, "batch_size": 64, "seq_len": 200, "n_val_users": 6, "score_s": 10.4, "flip_max_diff": 0.0, "peak_gb": 0.55}

pykt/synth_l/coldstart/pykt-sparsekt-csN32-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 3.0, "epochs": 37, "best_epoch": 27, "dev_auc_pykt": 0.7052023121387283, "n_train_users": 26, "n_train_chunks": 26, "n_dev_chunks": 6, "batch_size": 64, "seq_len": 200, "n_val_users": 6, "score_s": 5.4, "flip_max_diff": 0.0, "peak_gb": 0.57}

pykt/synth_l/coldstart/pykt-sparsekt-csN32-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 0.5, "epochs": 11, "best_epoch": 1, "dev_auc_pykt": 0.6234824957651044, "n_train_users": 26, "n_train_chunks": 26, "n_dev_chunks": 6, "batch_size": 64, "seq_len": 200, "n_val_users": 6, "score_s": 4.8, "flip_max_diff": 0.0, "peak_gb": 0.54}

pykt/synth_l/coldstart/pykt-sparsekt-csN32-s3/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 2.1, "epochs": 25, "best_epoch": 15, "dev_auc_pykt": 0.6509009009009009, "n_train_users": 26, "n_train_chunks": 26, "n_dev_chunks": 6, "batch_size": 64, "seq_len": 200, "n_val_users": 6, "score_s": 5.7, "flip_max_diff": 0.0, "peak_gb": 0.58}

pykt/synth_l/coldstart/pykt-sparsekt-csN32-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 3.4, "epochs": 47, "best_epoch": 37, "dev_auc_pykt": 0.6560242743213125, "n_train_users": 26, "n_train_chunks": 26, "n_dev_chunks": 6, "batch_size": 64, "seq_len": 200, "n_val_users": 6, "score_s": 4.4, "flip_max_diff": 0.0, "peak_gb": 0.54}

pykt/synth_l/coldstart/pykt-sparsekt-csN64-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 4.6, "epochs": 53, "best_epoch": 43, "dev_auc_pykt": 0.6807116720348825, "n_train_users": 51, "n_train_chunks": 51, "n_dev_chunks": 13, "batch_size": 64, "seq_len": 200, "n_val_users": 13, "score_s": 5.2, "flip_max_diff": 0.0, "peak_gb": 0.65}

pykt/synth_l/coldstart/pykt-sparsekt-csN64-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 1.7, "epochs": 19, "best_epoch": 9, "dev_auc_pykt": 0.686303125772177, "n_train_users": 51, "n_train_chunks": 51, "n_dev_chunks": 13, "batch_size": 64, "seq_len": 200, "n_val_users": 13, "score_s": 5.4, "flip_max_diff": 0.0, "peak_gb": 0.64}

pykt/synth_l/coldstart/pykt-sparsekt-csN64-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 6.5, "epochs": 71, "best_epoch": 61, "dev_auc_pykt": 0.6543416583689114, "n_train_users": 51, "n_train_chunks": 51, "n_dev_chunks": 13, "batch_size": 64, "seq_len": 200, "n_val_users": 13, "score_s": 5.2, "flip_max_diff": 0.0, "peak_gb": 0.64}

pykt/synth_l/coldstart/pykt-sparsekt-csN64-s3/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 3.7, "epochs": 37, "best_epoch": 27, "dev_auc_pykt": 0.6711451247165534, "n_train_users": 51, "n_train_chunks": 51, "n_dev_chunks": 13, "batch_size": 64, "seq_len": 200, "n_val_users": 13, "score_s": 5.4, "flip_max_diff": 0.0, "peak_gb": 0.66}

pykt/synth_l/coldstart/pykt-sparsekt-csN64-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 1.2, "epochs": 19, "best_epoch": 9, "dev_auc_pykt": 0.6499282684630738, "n_train_users": 51, "n_train_chunks": 51, "n_dev_chunks": 13, "batch_size": 64, "seq_len": 200, "n_val_users": 13, "score_s": 3.2, "flip_max_diff": 0.0, "peak_gb": 0.66}

pykt/synth_l/coldstart/pykt-sparsekt-csN8-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 1.9, "epochs": 29, "best_epoch": 19, "dev_auc_pykt": 0.6845878136200716, "n_train_users": 6, "n_train_chunks": 6, "n_dev_chunks": 2, "batch_size": 64, "seq_len": 200, "n_val_users": 2, "score_s": 3.4, "flip_max_diff": 0.0, "peak_gb": 0.54}

pykt/synth_l/coldstart/pykt-sparsekt-csN8-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 0.9, "epochs": 12, "best_epoch": 2, "dev_auc_pykt": 0.6778120434994319, "n_train_users": 6, "n_train_chunks": 6, "n_dev_chunks": 2, "batch_size": 64, "seq_len": 200, "n_val_users": 2, "score_s": 5.8, "flip_max_diff": 0.0, "peak_gb": 0.56}

pykt/synth_l/coldstart/pykt-sparsekt-csN8-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 1.8, "epochs": 20, "best_epoch": 10, "dev_auc_pykt": 0.8013513513513514, "n_train_users": 6, "n_train_chunks": 6, "n_dev_chunks": 2, "batch_size": 64, "seq_len": 200, "n_val_users": 2, "score_s": 4.1, "flip_max_diff": 0.0, "peak_gb": 0.6}

pykt/synth_l/coldstart/pykt-sparsekt-csN8-s3/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 0.5, "epochs": 11, "best_epoch": 1, "dev_auc_pykt": 0.7238542890716804, "n_train_users": 6, "n_train_chunks": 6, "n_dev_chunks": 2, "batch_size": 64, "seq_len": 200, "n_val_users": 2, "score_s": 3.8, "flip_max_diff": 0.0, "peak_gb": 0.54}

pykt/synth_l/coldstart/pykt-sparsekt-csN8-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 2.4, "epochs": 19, "best_epoch": 9, "dev_auc_pykt": 0.6112877583465819, "n_train_users": 6, "n_train_chunks": 6, "n_dev_chunks": 2, "batch_size": 64, "seq_len": 200, "n_val_users": 2, "score_s": 7.6, "flip_max_diff": 0.0, "peak_gb": 0.57}

pykt/synth_l/coldstart/pykt-sparsekt-csNall-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 53.0, "epochs": 72, "best_epoch": 62, "dev_auc_pykt": 0.9129355032244789, "n_train_users": 576, "n_train_chunks": 576, "n_dev_chunks": 144, "batch_size": 64, "seq_len": 200, "n_val_users": 144, "score_s": 6.6, "flip_max_diff": 0.0, "peak_gb": 0.85}

pykt/synth_l/coldstart/pykt-sparsekt-csNall-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 55.2, "epochs": 74, "best_epoch": 64, "dev_auc_pykt": 0.905525076553942, "n_train_users": 576, "n_train_chunks": 576, "n_dev_chunks": 144, "batch_size": 64, "seq_len": 200, "n_val_users": 144, "score_s": 6.2, "flip_max_diff": 0.0, "peak_gb": 0.83}

pykt/synth_l/coldstart/pykt-sparsekt-csNall-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 49.0, "epochs": 68, "best_epoch": 58, "dev_auc_pykt": 0.9099469143250556, "n_train_users": 576, "n_train_chunks": 576, "n_dev_chunks": 144, "batch_size": 64, "seq_len": 200, "n_val_users": 144, "score_s": 6.1, "flip_max_diff": 0.0, "peak_gb": 0.85}

pykt/synth_l/coldstart/pykt-sparsekt-csNall-s3/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 45.9, "epochs": 62, "best_epoch": 52, "dev_auc_pykt": 0.9098601832751702, "n_train_users": 576, "n_train_chunks": 576, "n_dev_chunks": 144, "batch_size": 64, "seq_len": 200, "n_val_users": 144, "score_s": 6.2, "flip_max_diff": 0.0, "peak_gb": 0.83}

pykt/synth_l/coldstart/pykt-sparsekt-csNall-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 45.2, "epochs": 64, "best_epoch": 54, "dev_auc_pykt": 0.9132797981686174, "n_train_users": 576, "n_train_chunks": 576, "n_dev_chunks": 144, "batch_size": 64, "seq_len": 200, "n_val_users": 144, "score_s": 6.2, "flip_max_diff": 0.0, "peak_gb": 0.83}

pykt/synth_l/coldstart/pykt-stablekt-csN128-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 11.9, "epochs": 43, "best_epoch": 33, "dev_auc_pykt": 0.6911076112584733, "n_train_users": 102, "n_train_chunks": 102, "n_dev_chunks": 26, "batch_size": 64, "seq_len": 200, "n_val_users": 26, "score_s": 8.4, "flip_max_diff": 0.0, "peak_gb": 2.94}

pykt/synth_l/coldstart/pykt-stablekt-csN128-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 8.7, "epochs": 27, "best_epoch": 17, "dev_auc_pykt": 0.663482698880929, "n_train_users": 102, "n_train_chunks": 102, "n_dev_chunks": 26, "batch_size": 64, "seq_len": 200, "n_val_users": 26, "score_s": 9.1, "flip_max_diff": 0.0, "peak_gb": 2.94}

pykt/synth_l/coldstart/pykt-stablekt-csN128-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 7.8, "epochs": 21, "best_epoch": 11, "dev_auc_pykt": 0.6456850907527891, "n_train_users": 102, "n_train_chunks": 102, "n_dev_chunks": 26, "batch_size": 64, "seq_len": 200, "n_val_users": 26, "score_s": 9.5, "flip_max_diff": 0.0, "peak_gb": 2.92}

pykt/synth_l/coldstart/pykt-stablekt-csN128-s3/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 15.0, "epochs": 44, "best_epoch": 34, "dev_auc_pykt": 0.6634257285003553, "n_train_users": 102, "n_train_chunks": 102, "n_dev_chunks": 26, "batch_size": 64, "seq_len": 200, "n_val_users": 26, "score_s": 7.7, "flip_max_diff": 0.0, "peak_gb": 2.97}

pykt/synth_l/coldstart/pykt-stablekt-csN128-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 8.6, "epochs": 22, "best_epoch": 12, "dev_auc_pykt": 0.6627961496662009, "n_train_users": 102, "n_train_chunks": 102, "n_dev_chunks": 26, "batch_size": 64, "seq_len": 200, "n_val_users": 26, "score_s": 9.6, "flip_max_diff": 0.0, "peak_gb": 2.97}

pykt/synth_l/coldstart/pykt-stablekt-csN16-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 3.6, "epochs": 20, "best_epoch": 10, "dev_auc_pykt": 0.612281976744186, "n_train_users": 13, "n_train_chunks": 13, "n_dev_chunks": 3, "batch_size": 64, "seq_len": 200, "n_val_users": 3, "score_s": 14.4, "flip_max_diff": 0.0, "peak_gb": 0.72}

pykt/synth_l/coldstart/pykt-stablekt-csN16-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 1.2, "epochs": 13, "best_epoch": 3, "dev_auc_pykt": 0.6282009371254222, "n_train_users": 13, "n_train_chunks": 13, "n_dev_chunks": 3, "batch_size": 64, "seq_len": 200, "n_val_users": 3, "score_s": 8.0, "flip_max_diff": 0.0, "peak_gb": 0.72}

pykt/synth_l/coldstart/pykt-stablekt-csN16-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 5.4, "epochs": 30, "best_epoch": 20, "dev_auc_pykt": 0.6404690039470629, "n_train_users": 13, "n_train_chunks": 13, "n_dev_chunks": 3, "batch_size": 64, "seq_len": 200, "n_val_users": 3, "score_s": 9.8, "flip_max_diff": 0.0, "peak_gb": 0.72}

pykt/synth_l/coldstart/pykt-stablekt-csN16-s3/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 3.2, "epochs": 21, "best_epoch": 11, "dev_auc_pykt": 0.6643085032598142, "n_train_users": 13, "n_train_chunks": 13, "n_dev_chunks": 3, "batch_size": 64, "seq_len": 200, "n_val_users": 3, "score_s": 9.8, "flip_max_diff": 0.0, "peak_gb": 0.72}

pykt/synth_l/coldstart/pykt-stablekt-csN16-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 2.1, "epochs": 16, "best_epoch": 6, "dev_auc_pykt": 0.5210213515298261, "n_train_users": 13, "n_train_chunks": 13, "n_dev_chunks": 3, "batch_size": 64, "seq_len": 200, "n_val_users": 3, "score_s": 7.5, "flip_max_diff": 0.0, "peak_gb": 0.74}

pykt/synth_l/coldstart/pykt-stablekt-csN256-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 16.3, "epochs": 30, "best_epoch": 20, "dev_auc_pykt": 0.6687947411093962, "n_train_users": 205, "n_train_chunks": 205, "n_dev_chunks": 51, "batch_size": 64, "seq_len": 200, "n_val_users": 51, "score_s": 8.3, "flip_max_diff": 0.0, "peak_gb": 2.95}