pod backup 2026-11-07: pykt (800-1200)

pykt/assist09/coldstart/pykt-qdkt-csNall-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 305.3, "epochs": 54, "best_epoch": 44, "dev_auc_pykt": 0.6794621742777567, "n_train_users": 1730, "n_train_chunks": 2070, "n_dev_chunks": 501, "batch_size": 32, "seq_len": 200, "n_val_users": 432, "score_s": 15.4, "flip_max_diff": 0.0, "peak_gb": 3.86}

pykt/assist09/coldstart/pykt-qdkt-csNall-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 191.9, "epochs": 18, "best_epoch": 8, "dev_auc_pykt": 0.67701440011298, "n_train_users": 1730, "n_train_chunks": 2060, "n_dev_chunks": 511, "batch_size": 32, "seq_len": 200, "n_val_users": 432, "score_s": 18.8, "flip_max_diff": 0.0, "peak_gb": 3.86}

pykt/assist09/coldstart/pykt-qdkt-csNall-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 170.5, "epochs": 52, "best_epoch": 42, "dev_auc_pykt": 0.682065901343358, "n_train_users": 1730, "n_train_chunks": 2051, "n_dev_chunks": 520, "batch_size": 32, "seq_len": 200, "n_val_users": 432, "score_s": 11.3, "flip_max_diff": 0.0, "peak_gb": 3.86}

pykt/assist09/coldstart/pykt-qdkt-csNall-s3/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 154.1, "epochs": 50, "best_epoch": 40, "dev_auc_pykt": 0.6833651767828983, "n_train_users": 1730, "n_train_chunks": 2062, "n_dev_chunks": 509, "batch_size": 32, "seq_len": 200, "n_val_users": 432, "score_s": 11.4, "flip_max_diff": 0.0, "peak_gb": 3.86}

pykt/assist09/coldstart/pykt-qdkt-csNall-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 149.4, "epochs": 47, "best_epoch": 37, "dev_auc_pykt": 0.685057258220471, "n_train_users": 1730, "n_train_chunks": 2039, "n_dev_chunks": 532, "batch_size": 32, "seq_len": 200, "n_val_users": 432, "score_s": 11.8, "flip_max_diff": 0.0, "peak_gb": 3.86}

pykt/assist09/coldstart/pykt-qdkt-ics0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 323.4, "epochs": 47, "best_epoch": 37, "dev_auc_pykt": 0.672166416331359, "n_train_users": 1730, "n_train_chunks": 1967, "n_dev_chunks": 481, "batch_size": 16, "seq_len": 200, "n_val_users": 432, "score_s": 1.3, "flip_max_diff": 0.0, "peak_gb": 3.72}

pykt/assist09/coldstart/pykt-qdkt_bsprobe-csN32-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 9.7, "epochs": 33, "best_epoch": 23, "dev_auc_pykt": 0.5145699206088414, "n_train_users": 26, "n_train_chunks": 31, "n_dev_chunks": 9, "batch_size": 32, "seq_len": 200, "n_val_users": 6, "score_s": 9.6, "flip_max_diff": 0.0, "peak_gb": 3.86}

pykt/assist09/coldstart/pykt-qikt-csN128-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 6.1, "epochs": 14, "best_epoch": 4, "dev_auc_pykt": 0.6654778552345968, "n_train_users": 102, "n_train_chunks": 115, "n_dev_chunks": 29, "batch_size": 32, "seq_len": 200, "n_val_users": 26, "score_s": 19.3, "flip_max_diff": 0.0, "peak_gb": 4.03}

pykt/assist09/coldstart/pykt-qikt-csN128-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 9.3, "epochs": 14, "best_epoch": 4, "dev_auc_pykt": 0.6478421052631579, "n_train_users": 102, "n_train_chunks": 120, "n_dev_chunks": 28, "batch_size": 32, "seq_len": 200, "n_val_users": 26, "score_s": 28.6, "flip_max_diff": 0.0, "peak_gb": 4.03}

pykt/assist09/coldstart/pykt-qikt-csN128-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 10.2, "epochs": 24, "best_epoch": 14, "dev_auc_pykt": 0.667894646843832, "n_train_users": 102, "n_train_chunks": 111, "n_dev_chunks": 37, "batch_size": 32, "seq_len": 200, "n_val_users": 26, "score_s": 18.2, "flip_max_diff": 0.0, "peak_gb": 4.03}

pykt/assist09/coldstart/pykt-qikt-csN128-s3/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 6.4, "epochs": 14, "best_epoch": 4, "dev_auc_pykt": 0.6745577523413111, "n_train_users": 102, "n_train_chunks": 124, "n_dev_chunks": 32, "batch_size": 32, "seq_len": 200, "n_val_users": 26, "score_s": 15.9, "flip_max_diff": 0.0, "peak_gb": 4.03}

pykt/assist09/coldstart/pykt-qikt-csN128-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 6.0, "epochs": 14, "best_epoch": 4, "dev_auc_pykt": 0.673960216281356, "n_train_users": 102, "n_train_chunks": 115, "n_dev_chunks": 30, "batch_size": 32, "seq_len": 200, "n_val_users": 26, "score_s": 15.5, "flip_max_diff": 0.0, "peak_gb": 4.03}

pykt/assist09/coldstart/pykt-qikt-csN16-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 14.2, "epochs": 27, "best_epoch": 17, "dev_auc_pykt": 0.6373735302160239, "n_train_users": 13, "n_train_chunks": 17, "n_dev_chunks": 4, "batch_size": 32, "seq_len": 200, "n_val_users": 3, "score_s": 15.5, "flip_max_diff": 0.0, "peak_gb": 4.03}

pykt/assist09/coldstart/pykt-qikt-csN16-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 8.2, "epochs": 34, "best_epoch": 24, "dev_auc_pykt": 0.49224328983009114, "n_train_users": 13, "n_train_chunks": 18, "n_dev_chunks": 3, "batch_size": 32, "seq_len": 200, "n_val_users": 3, "score_s": 22.0, "flip_max_diff": 0.0, "peak_gb": 4.03}

pykt/assist09/coldstart/pykt-qikt-csN16-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 2.3, "epochs": 17, "best_epoch": 7, "dev_auc_pykt": 0.5931293612453032, "n_train_users": 13, "n_train_chunks": 13, "n_dev_chunks": 3, "batch_size": 32, "seq_len": 200, "n_val_users": 3, "score_s": 14.7, "flip_max_diff": 0.0, "peak_gb": 4.03}

pykt/assist09/coldstart/pykt-qikt-csN16-s3/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 2.6, "epochs": 19, "best_epoch": 9, "dev_auc_pykt": 0.4881794078656651, "n_train_users": 13, "n_train_chunks": 15, "n_dev_chunks": 3, "batch_size": 32, "seq_len": 200, "n_val_users": 3, "score_s": 15.7, "flip_max_diff": 0.0, "peak_gb": 4.11}

pykt/assist09/coldstart/pykt-qikt-csN16-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 4.6, "epochs": 23, "best_epoch": 13, "dev_auc_pykt": 0.6033525954785797, "n_train_users": 13, "n_train_chunks": 15, "n_dev_chunks": 5, "batch_size": 32, "seq_len": 200, "n_val_users": 3, "score_s": 14.6, "flip_max_diff": 0.0, "peak_gb": 4.03}

pykt/assist09/coldstart/pykt-qikt-csN256-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 20.9, "epochs": 18, "best_epoch": 8, "dev_auc_pykt": 0.7040927947887065, "n_train_users": 205, "n_train_chunks": 235, "n_dev_chunks": 64, "batch_size": 32, "seq_len": 200, "n_val_users": 51, "score_s": 16.6, "flip_max_diff": 0.0, "peak_gb": 4.03}

pykt/assist09/coldstart/pykt-qikt-csN256-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 13.3, "epochs": 13, "best_epoch": 3, "dev_auc_pykt": 0.6506889882957485, "n_train_users": 205, "n_train_chunks": 237, "n_dev_chunks": 59, "batch_size": 32, "seq_len": 200, "n_val_users": 51, "score_s": 21.6, "flip_max_diff": 0.0, "peak_gb": 4.03}

pykt/assist09/coldstart/pykt-qikt-csN256-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 16.7, "epochs": 18, "best_epoch": 8, "dev_auc_pykt": 0.7365543334576146, "n_train_users": 205, "n_train_chunks": 244, "n_dev_chunks": 59, "batch_size": 32, "seq_len": 200, "n_val_users": 51, "score_s": 20.8, "flip_max_diff": 0.0, "peak_gb": 4.03}

pykt/assist09/coldstart/pykt-qikt-csN256-s3/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 38.5, "epochs": 27, "best_epoch": 17, "dev_auc_pykt": 0.6767781935755315, "n_train_users": 205, "n_train_chunks": 249, "n_dev_chunks": 59, "batch_size": 32, "seq_len": 200, "n_val_users": 51, "score_s": 24.5, "flip_max_diff": 0.0, "peak_gb": 4.03}

pykt/assist09/coldstart/pykt-qikt-csN256-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 28.9, "epochs": 20, "best_epoch": 10, "dev_auc_pykt": 0.712794827253426, "n_train_users": 205, "n_train_chunks": 234, "n_dev_chunks": 60, "batch_size": 32, "seq_len": 200, "n_val_users": 51, "score_s": 26.8, "flip_max_diff": 0.0, "peak_gb": 4.03}

pykt/assist09/coldstart/pykt-qikt-csN32-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 4.2, "epochs": 19, "best_epoch": 9, "dev_auc_pykt": 0.6421228118921921, "n_train_users": 26, "n_train_chunks": 31, "n_dev_chunks": 6, "batch_size": 32, "seq_len": 200, "n_val_users": 6, "score_s": 15.2, "flip_max_diff": 0.0, "peak_gb": 4.03}

pykt/assist09/coldstart/pykt-qikt-csN32-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 5.2, "epochs": 14, "best_epoch": 4, "dev_auc_pykt": 0.6547194534707771, "n_train_users": 26, "n_train_chunks": 31, "n_dev_chunks": 9, "batch_size": 8, "seq_len": 200, "n_val_users": 6, "score_s": 25.8, "flip_max_diff": 0.0, "peak_gb": 4.03}

pykt/assist09/coldstart/pykt-qikt-csN32-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 5.5, "epochs": 29, "best_epoch": 19, "dev_auc_pykt": 0.6311799604482531, "n_train_users": 26, "n_train_chunks": 27, "n_dev_chunks": 6, "batch_size": 32, "seq_len": 200, "n_val_users": 6, "score_s": 21.0, "flip_max_diff": 0.0, "peak_gb": 4.03}

pykt/assist09/coldstart/pykt-qikt-csN32-s3/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 3.2, "epochs": 13, "best_epoch": 3, "dev_auc_pykt": 0.6434898880160453, "n_train_users": 26, "n_train_chunks": 30, "n_dev_chunks": 6, "batch_size": 32, "seq_len": 200, "n_val_users": 6, "score_s": 28.8, "flip_max_diff": 0.0, "peak_gb": 4.03}

pykt/assist09/coldstart/pykt-qikt-csN32-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 4.4, "epochs": 22, "best_epoch": 12, "dev_auc_pykt": 0.5464880952380953, "n_train_users": 26, "n_train_chunks": 30, "n_dev_chunks": 6, "batch_size": 32, "seq_len": 200, "n_val_users": 6, "score_s": 15.2, "flip_max_diff": 0.0, "peak_gb": 4.03}

pykt/assist09/coldstart/pykt-qikt-csN64-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 10.9, "epochs": 40, "best_epoch": 30, "dev_auc_pykt": 0.6012012838147639, "n_train_users": 51, "n_train_chunks": 57, "n_dev_chunks": 15, "batch_size": 32, "seq_len": 200, "n_val_users": 13, "score_s": 15.4, "flip_max_diff": 0.0, "peak_gb": 4.03}

pykt/assist09/coldstart/pykt-qikt-csN64-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 7.2, "epochs": 18, "best_epoch": 8, "dev_auc_pykt": 0.590452101844247, "n_train_users": 51, "n_train_chunks": 62, "n_dev_chunks": 18, "batch_size": 32, "seq_len": 200, "n_val_users": 13, "score_s": 20.9, "flip_max_diff": 0.0, "peak_gb": 4.03}

pykt/assist09/coldstart/pykt-qikt-csN64-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 5.1, "epochs": 17, "best_epoch": 7, "dev_auc_pykt": 0.6405007206533924, "n_train_users": 51, "n_train_chunks": 56, "n_dev_chunks": 14, "batch_size": 32, "seq_len": 200, "n_val_users": 13, "score_s": 21.5, "flip_max_diff": 0.0, "peak_gb": 4.03}

pykt/assist09/coldstart/pykt-qikt-csN64-s3/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 15.8, "epochs": 15, "best_epoch": 5, "dev_auc_pykt": 0.6089209151504233, "n_train_users": 51, "n_train_chunks": 56, "n_dev_chunks": 16, "batch_size": 32, "seq_len": 200, "n_val_users": 13, "score_s": 16.0, "flip_max_diff": 0.0, "peak_gb": 4.03}

pykt/assist09/coldstart/pykt-qikt-csN64-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 4.3, "epochs": 15, "best_epoch": 5, "dev_auc_pykt": 0.6324653538166582, "n_train_users": 51, "n_train_chunks": 57, "n_dev_chunks": 16, "batch_size": 32, "seq_len": 200, "n_val_users": 13, "score_s": 15.4, "flip_max_diff": 0.0, "peak_gb": 4.03}

pykt/assist09/coldstart/pykt-qikt-csN8-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 2.4, "epochs": 15, "best_epoch": 5, "dev_auc_pykt": 0.6090909090909091, "n_train_users": 6, "n_train_chunks": 10, "n_dev_chunks": 2, "batch_size": 32, "seq_len": 200, "n_val_users": 2, "score_s": 16.7, "flip_max_diff": 0.0, "peak_gb": 4.03}

pykt/assist09/coldstart/pykt-qikt-csN8-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 3.5, "epochs": 21, "best_epoch": 11, "dev_auc_pykt": 0.6314612033439303, "n_train_users": 6, "n_train_chunks": 8, "n_dev_chunks": 2, "batch_size": 32, "seq_len": 200, "n_val_users": 2, "score_s": 22.0, "flip_max_diff": 0.0, "peak_gb": 4.03}

pykt/assist09/coldstart/pykt-qikt-csN8-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 0.7, "epochs": 11, "best_epoch": 1, "dev_auc_pykt": 0.4594594594594595, "n_train_users": 6, "n_train_chunks": 6, "n_dev_chunks": 2, "batch_size": 32, "seq_len": 200, "n_val_users": 2, "score_s": 13.8, "flip_max_diff": 0.0, "peak_gb": 4.03}

pykt/assist09/coldstart/pykt-qikt-csN8-s3/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 0.7, "epochs": 11, "best_epoch": 1, "dev_auc_pykt": 0.6875, "n_train_users": 6, "n_train_chunks": 6, "n_dev_chunks": 2, "batch_size": 32, "seq_len": 200, "n_val_users": 2, "score_s": 15.5, "flip_max_diff": 0.0, "peak_gb": 4.03}

pykt/assist09/coldstart/pykt-qikt-csN8-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 1.5, "epochs": 11, "best_epoch": 1, "dev_auc_pykt": 0.6051136363636364, "n_train_users": 6, "n_train_chunks": 6, "n_dev_chunks": 2, "batch_size": 32, "seq_len": 200, "n_val_users": 2, "score_s": 24.8, "flip_max_diff": 0.0, "peak_gb": 4.03}

pykt/assist09/coldstart/pykt-qikt-csNall-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 208.7, "epochs": 15, "best_epoch": 5, "dev_auc_pykt": 0.7630964722764355, "n_train_users": 1730, "n_train_chunks": 2070, "n_dev_chunks": 501, "batch_size": 32, "seq_len": 200, "n_val_users": 432, "score_s": 30.5, "flip_max_diff": 0.0, "peak_gb": 4.03}

pykt/assist09/coldstart/pykt-qikt-csNall-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 213.4, "epochs": 15, "best_epoch": 5, "dev_auc_pykt": 0.7492894802266379, "n_train_users": 1730, "n_train_chunks": 2060, "n_dev_chunks": 511, "batch_size": 32, "seq_len": 200, "n_val_users": 432, "score_s": 29.8, "flip_max_diff": 0.0, "peak_gb": 4.03}

pykt/assist09/coldstart/pykt-qikt-csNall-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 176.6, "epochs": 16, "best_epoch": 6, "dev_auc_pykt": 0.7592538490732132, "n_train_users": 1730, "n_train_chunks": 2051, "n_dev_chunks": 520, "batch_size": 32, "seq_len": 200, "n_val_users": 432, "score_s": 26.7, "flip_max_diff": 0.0, "peak_gb": 4.03}

pykt/assist09/coldstart/pykt-qikt-csNall-s3/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 89.2, "epochs": 15, "best_epoch": 5, "dev_auc_pykt": 0.7589899694896364, "n_train_users": 1730, "n_train_chunks": 2062, "n_dev_chunks": 509, "batch_size": 32, "seq_len": 200, "n_val_users": 432, "score_s": 15.4, "flip_max_diff": 0.0, "peak_gb": 4.03}

pykt/assist09/coldstart/pykt-qikt-csNall-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 122.7, "epochs": 19, "best_epoch": 9, "dev_auc_pykt": 0.7514122069958485, "n_train_users": 1730, "n_train_chunks": 2039, "n_dev_chunks": 532, "batch_size": 32, "seq_len": 200, "n_val_users": 432, "score_s": 16.7, "flip_max_diff": 0.0, "peak_gb": 4.03}

pykt/assist09/coldstart/pykt-qikt-ics0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 217.2, "epochs": 21, "best_epoch": 11, "dev_auc_pykt": 0.7580522510831472, "n_train_users": 1730, "n_train_chunks": 1967, "n_dev_chunks": 481, "batch_size": 32, "seq_len": 200, "n_val_users": 432, "score_s": 1.4, "flip_max_diff": 0.0, "peak_gb": 3.89}

pykt/assist09/coldstart/pykt-rekt-csN128-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 68.7, "epochs": 29, "best_epoch": 19, "dev_auc_pykt": 0.6495709394869058, "n_train_users": 102, "n_train_chunks": 122, "n_dev_chunks": 30, "batch_size": 256, "seq_len": 200, "n_val_users": 26, "score_s": 57.6, "flip_max_diff": 0.0, "peak_gb": 0.59}

pykt/assist09/coldstart/pykt-rekt-csN128-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 46.7, "epochs": 27, "best_epoch": 17, "dev_auc_pykt": 0.6907275774114117, "n_train_users": 102, "n_train_chunks": 119, "n_dev_chunks": 31, "batch_size": 256, "seq_len": 200, "n_val_users": 26, "score_s": 35.1, "flip_max_diff": 0.0, "peak_gb": 0.58}

pykt/assist09/coldstart/pykt-rekt-csN16-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 18.9, "epochs": 11, "best_epoch": 1, "dev_auc_pykt": 0.6041129360662413, "n_train_users": 13, "n_train_chunks": 19, "n_dev_chunks": 4, "batch_size": 256, "seq_len": 200, "n_val_users": 3, "score_s": 36.4, "flip_max_diff": 0.0, "peak_gb": 0.32}

pykt/assist09/coldstart/pykt-rekt-csN16-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 25.5, "epochs": 17, "best_epoch": 7, "dev_auc_pykt": 0.6081686429512517, "n_train_users": 13, "n_train_chunks": 13, "n_dev_chunks": 3, "batch_size": 256, "seq_len": 200, "n_val_users": 3, "score_s": 29.6, "flip_max_diff": 0.0, "peak_gb": 0.32}

pykt/assist09/coldstart/pykt-rekt-csN16-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 33.6, "epochs": 14, "best_epoch": 4, "dev_auc_pykt": 0.5763346354166666, "n_train_users": 13, "n_train_chunks": 15, "n_dev_chunks": 6, "batch_size": 256, "seq_len": 200, "n_val_users": 3, "score_s": 54.6, "flip_max_diff": 0.0, "peak_gb": 0.32}

pykt/assist09/coldstart/pykt-rekt-csN256-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 83.0, "epochs": 31, "best_epoch": 21, "dev_auc_pykt": 0.7164140691365205, "n_train_users": 205, "n_train_chunks": 246, "n_dev_chunks": 66, "batch_size": 256, "seq_len": 200, "n_val_users": 51, "score_s": 58.5, "flip_max_diff": 0.0, "peak_gb": 1.15}

pykt/assist09/coldstart/pykt-rekt-csN256-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 105.3, "epochs": 48, "best_epoch": 38, "dev_auc_pykt": 0.6947745041370403, "n_train_users": 205, "n_train_chunks": 245, "n_dev_chunks": 63, "batch_size": 256, "seq_len": 200, "n_val_users": 51, "score_s": 46.0, "flip_max_diff": 0.0, "peak_gb": 1.15}