pod backup 2026-11-07: pykt (2800-3200)

pykt/nips34/coldstart/pykt-dtransformer-csNall-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 2760.8, "epochs": 17, "best_epoch": 7, "dev_auc_pykt": 0.7768737160501873, "n_train_users": 2833, "n_train_chunks": 5428, "n_dev_chunks": 1317, "batch_size": 32, "seq_len": 200, "n_val_users": 708, "score_s": 103.3, "flip_max_diff": 0.0, "peak_gb": 15.13}

pykt/nips34/coldstart/pykt-dtransformer-ics1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 9333.4, "epochs": 30, "best_epoch": 20, "dev_auc_pykt": 0.7842411806036393, "n_train_users": 2833, "n_train_chunks": 4697, "n_dev_chunks": 1167, "batch_size": 2, "seq_len": 200, "n_val_users": 708, "score_s": 2.4, "flip_max_diff": 0.0, "peak_gb": 9.35}

pykt/nips34/coldstart/pykt-dtransformer-ics2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 3784.7, "epochs": 29, "best_epoch": 19, "dev_auc_pykt": 0.7864781775410142, "n_train_users": 2833, "n_train_chunks": 4717, "n_dev_chunks": 1209, "batch_size": 32, "seq_len": 200, "n_val_users": 708, "score_s": 3.7, "flip_max_diff": 0.0, "peak_gb": 15.13}

pykt/nips34/coldstart/pykt-extrakt-csN128-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 13.7, "epochs": 29, "best_epoch": 19, "dev_auc_pykt": 0.7283026922239098, "n_train_users": 102, "n_train_chunks": 190, "n_dev_chunks": 47, "batch_size": 256, "seq_len": 200, "n_val_users": 26, "score_s": 25.6, "flip_max_diff": 0.0, "peak_gb": 8.41}

pykt/nips34/coldstart/pykt-extrakt-csN128-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 19.4, "epochs": 35, "best_epoch": 25, "dev_auc_pykt": 0.7417863910979346, "n_train_users": 102, "n_train_chunks": 197, "n_dev_chunks": 45, "batch_size": 256, "seq_len": 200, "n_val_users": 26, "score_s": 27.8, "flip_max_diff": 0.0, "peak_gb": 8.71}

pykt/nips34/coldstart/pykt-extrakt-csN128-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 18.3, "epochs": 35, "best_epoch": 25, "dev_auc_pykt": 0.7447919635139115, "n_train_users": 102, "n_train_chunks": 205, "n_dev_chunks": 54, "batch_size": 256, "seq_len": 200, "n_val_users": 26, "score_s": 24.8, "flip_max_diff": 0.0, "peak_gb": 9.05}

pykt/nips34/coldstart/pykt-extrakt-csN128-s3/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 20.5, "epochs": 34, "best_epoch": 24, "dev_auc_pykt": 0.7218786415010664, "n_train_users": 102, "n_train_chunks": 203, "n_dev_chunks": 45, "batch_size": 256, "seq_len": 200, "n_val_users": 26, "score_s": 22.7, "flip_max_diff": 0.0, "peak_gb": 8.96}

pykt/nips34/coldstart/pykt-extrakt-csN128-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 33.7, "epochs": 44, "best_epoch": 34, "dev_auc_pykt": 0.7162288501761764, "n_train_users": 102, "n_train_chunks": 200, "n_dev_chunks": 47, "batch_size": 256, "seq_len": 200, "n_val_users": 26, "score_s": 25.1, "flip_max_diff": 0.0, "peak_gb": 8.86}

pykt/nips34/coldstart/pykt-extrakt-csN16-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 8.9, "epochs": 34, "best_epoch": 24, "dev_auc_pykt": 0.7068, "n_train_users": 13, "n_train_chunks": 32, "n_dev_chunks": 4, "batch_size": 256, "seq_len": 200, "n_val_users": 3, "score_s": 37.0, "flip_max_diff": 0.0, "peak_gb": 1.63}

pykt/nips34/coldstart/pykt-extrakt-csN16-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 2.9, "epochs": 14, "best_epoch": 4, "dev_auc_pykt": 0.6123060045492059, "n_train_users": 13, "n_train_chunks": 27, "n_dev_chunks": 6, "batch_size": 256, "seq_len": 200, "n_val_users": 3, "score_s": 20.4, "flip_max_diff": 0.0, "peak_gb": 1.43}

pykt/nips34/coldstart/pykt-extrakt-csN16-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 2.8, "epochs": 14, "best_epoch": 4, "dev_auc_pykt": 0.6194397364171329, "n_train_users": 13, "n_train_chunks": 28, "n_dev_chunks": 6, "batch_size": 256, "seq_len": 200, "n_val_users": 3, "score_s": 18.1, "flip_max_diff": 0.0, "peak_gb": 1.46}

pykt/nips34/coldstart/pykt-extrakt-csN16-s3/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 3.7, "epochs": 17, "best_epoch": 7, "dev_auc_pykt": 0.732383764126227, "n_train_users": 13, "n_train_chunks": 28, "n_dev_chunks": 5, "batch_size": 256, "seq_len": 200, "n_val_users": 3, "score_s": 18.2, "flip_max_diff": 0.0, "peak_gb": 1.46}

pykt/nips34/coldstart/pykt-extrakt-csN16-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 2.5, "epochs": 13, "best_epoch": 3, "dev_auc_pykt": 0.6002862586720881, "n_train_users": 13, "n_train_chunks": 27, "n_dev_chunks": 7, "batch_size": 256, "seq_len": 200, "n_val_users": 3, "score_s": 18.2, "flip_max_diff": 0.0, "peak_gb": 1.43}

pykt/nips34/coldstart/pykt-extrakt-csN256-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 24.7, "epochs": 27, "best_epoch": 17, "dev_auc_pykt": 0.7501553635426335, "n_train_users": 205, "n_train_chunks": 389, "n_dev_chunks": 86, "batch_size": 256, "seq_len": 200, "n_val_users": 51, "score_s": 28.3, "flip_max_diff": 0.0, "peak_gb": 11.27}

pykt/nips34/coldstart/pykt-extrakt-csN256-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 87.6, "epochs": 83, "best_epoch": 73, "dev_auc_pykt": 0.7666756536716135, "n_train_users": 205, "n_train_chunks": 386, "n_dev_chunks": 97, "batch_size": 256, "seq_len": 200, "n_val_users": 51, "score_s": 23.8, "flip_max_diff": 0.0, "peak_gb": 11.26}

pykt/nips34/coldstart/pykt-extrakt-csN256-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 71.8, "epochs": 66, "best_epoch": 56, "dev_auc_pykt": 0.7604701476996192, "n_train_users": 205, "n_train_chunks": 400, "n_dev_chunks": 100, "batch_size": 256, "seq_len": 200, "n_val_users": 51, "score_s": 25.8, "flip_max_diff": 0.0, "peak_gb": 11.24}

pykt/nips34/coldstart/pykt-extrakt-csN256-s3/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 22.9, "epochs": 26, "best_epoch": 16, "dev_auc_pykt": 0.7282608543489801, "n_train_users": 205, "n_train_chunks": 384, "n_dev_chunks": 88, "batch_size": 256, "seq_len": 200, "n_val_users": 51, "score_s": 27.9, "flip_max_diff": 0.0, "peak_gb": 11.24}

pykt/nips34/coldstart/pykt-extrakt-csN256-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 79.9, "epochs": 79, "best_epoch": 69, "dev_auc_pykt": 0.7622427968260383, "n_train_users": 205, "n_train_chunks": 390, "n_dev_chunks": 105, "batch_size": 256, "seq_len": 200, "n_val_users": 51, "score_s": 24.9, "flip_max_diff": 0.0, "peak_gb": 11.26}

pykt/nips34/coldstart/pykt-extrakt-csN32-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 4.9, "epochs": 22, "best_epoch": 12, "dev_auc_pykt": 0.7074542408349226, "n_train_users": 26, "n_train_chunks": 57, "n_dev_chunks": 9, "batch_size": 256, "seq_len": 200, "n_val_users": 6, "score_s": 19.9, "flip_max_diff": 0.0, "peak_gb": 2.73}

pykt/nips34/coldstart/pykt-extrakt-csN32-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 5.2, "epochs": 21, "best_epoch": 11, "dev_auc_pykt": 0.7122019782776031, "n_train_users": 26, "n_train_chunks": 50, "n_dev_chunks": 12, "batch_size": 256, "seq_len": 200, "n_val_users": 6, "score_s": 18.2, "flip_max_diff": 0.0, "peak_gb": 2.4}

pykt/nips34/coldstart/pykt-extrakt-csN32-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 4.8, "epochs": 22, "best_epoch": 12, "dev_auc_pykt": 0.7208267994534466, "n_train_users": 26, "n_train_chunks": 53, "n_dev_chunks": 13, "batch_size": 256, "seq_len": 200, "n_val_users": 6, "score_s": 22.2, "flip_max_diff": 0.0, "peak_gb": 2.53}

pykt/nips34/coldstart/pykt-extrakt-csN32-s3/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 8.8, "epochs": 37, "best_epoch": 27, "dev_auc_pykt": 0.6666890762759071, "n_train_users": 26, "n_train_chunks": 54, "n_dev_chunks": 10, "batch_size": 256, "seq_len": 200, "n_val_users": 6, "score_s": 21.4, "flip_max_diff": 0.0, "peak_gb": 2.6}

pykt/nips34/coldstart/pykt-extrakt-csN32-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 2.4, "epochs": 14, "best_epoch": 4, "dev_auc_pykt": 0.6675204985500223, "n_train_users": 26, "n_train_chunks": 55, "n_dev_chunks": 13, "batch_size": 256, "seq_len": 200, "n_val_users": 6, "score_s": 15.2, "flip_max_diff": 0.0, "peak_gb": 2.65}

pykt/nips34/coldstart/pykt-extrakt-csN64-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 9.2, "epochs": 29, "best_epoch": 19, "dev_auc_pykt": 0.68105436080523, "n_train_users": 51, "n_train_chunks": 99, "n_dev_chunks": 28, "batch_size": 256, "seq_len": 200, "n_val_users": 13, "score_s": 21.2, "flip_max_diff": 0.0, "peak_gb": 4.5}

pykt/nips34/coldstart/pykt-extrakt-csN64-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 14.4, "epochs": 46, "best_epoch": 36, "dev_auc_pykt": 0.80471441410921, "n_train_users": 51, "n_train_chunks": 103, "n_dev_chunks": 23, "batch_size": 256, "seq_len": 200, "n_val_users": 13, "score_s": 21.5, "flip_max_diff": 0.0, "peak_gb": 4.67}

pykt/nips34/coldstart/pykt-extrakt-csN64-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 11.5, "epochs": 34, "best_epoch": 24, "dev_auc_pykt": 0.835626046275511, "n_train_users": 51, "n_train_chunks": 99, "n_dev_chunks": 31, "batch_size": 256, "seq_len": 200, "n_val_users": 13, "score_s": 22.3, "flip_max_diff": 0.0, "peak_gb": 4.53}

pykt/nips34/coldstart/pykt-extrakt-csN64-s3/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 12.9, "epochs": 33, "best_epoch": 23, "dev_auc_pykt": 0.7485604339303216, "n_train_users": 51, "n_train_chunks": 104, "n_dev_chunks": 31, "batch_size": 256, "seq_len": 200, "n_val_users": 13, "score_s": 21.4, "flip_max_diff": 0.0, "peak_gb": 4.72}

pykt/nips34/coldstart/pykt-extrakt-csN64-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 8.2, "epochs": 26, "best_epoch": 16, "dev_auc_pykt": 0.7277477897729797, "n_train_users": 51, "n_train_chunks": 96, "n_dev_chunks": 27, "batch_size": 256, "seq_len": 200, "n_val_users": 13, "score_s": 22.0, "flip_max_diff": 0.0, "peak_gb": 4.38}

pykt/nips34/coldstart/pykt-extrakt-csN8-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 7.4, "epochs": 20, "best_epoch": 10, "dev_auc_pykt": 0.4721802325581395, "n_train_users": 6, "n_train_chunks": 12, "n_dev_chunks": 6, "batch_size": 256, "seq_len": 200, "n_val_users": 2, "score_s": 36.0, "flip_max_diff": 0.0, "peak_gb": 1.2}

pykt/nips34/coldstart/pykt-extrakt-csN8-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 2.8, "epochs": 19, "best_epoch": 9, "dev_auc_pykt": 0.6230702439871495, "n_train_users": 6, "n_train_chunks": 10, "n_dev_chunks": 4, "batch_size": 256, "seq_len": 200, "n_val_users": 2, "score_s": 21.7, "flip_max_diff": 0.0, "peak_gb": 1.18}

pykt/nips34/coldstart/pykt-extrakt-csN8-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 1.9, "epochs": 11, "best_epoch": 1, "dev_auc_pykt": 0.594595837645165, "n_train_users": 6, "n_train_chunks": 14, "n_dev_chunks": 3, "batch_size": 256, "seq_len": 200, "n_val_users": 2, "score_s": 24.6, "flip_max_diff": 0.0, "peak_gb": 1.18}

pykt/nips34/coldstart/pykt-extrakt-csN8-s3/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 4.7, "epochs": 24, "best_epoch": 14, "dev_auc_pykt": 0.6642135642135641, "n_train_users": 6, "n_train_chunks": 17, "n_dev_chunks": 2, "batch_size": 256, "seq_len": 200, "n_val_users": 2, "score_s": 17.5, "flip_max_diff": 0.0, "peak_gb": 1.2}

pykt/nips34/coldstart/pykt-extrakt-csN8-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 2.3, "epochs": 13, "best_epoch": 3, "dev_auc_pykt": 0.5789989997691776, "n_train_users": 6, "n_train_chunks": 9, "n_dev_chunks": 3, "batch_size": 256, "seq_len": 200, "n_val_users": 2, "score_s": 19.1, "flip_max_diff": 0.0, "peak_gb": 1.18}

pykt/nips34/coldstart/pykt-extrakt-csNall-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 382.7, "epochs": 26, "best_epoch": 16, "dev_auc_pykt": 0.7959020142516174, "n_train_users": 2833, "n_train_chunks": 5400, "n_dev_chunks": 1345, "batch_size": 256, "seq_len": 200, "n_val_users": 708, "score_s": 29.5, "flip_max_diff": 0.0, "peak_gb": 11.24}

pykt/nips34/coldstart/pykt-extrakt-csNall-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 413.8, "epochs": 29, "best_epoch": 19, "dev_auc_pykt": 0.7914470818081571, "n_train_users": 2833, "n_train_chunks": 5388, "n_dev_chunks": 1357, "batch_size": 256, "seq_len": 200, "n_val_users": 708, "score_s": 26.4, "flip_max_diff": 0.0, "peak_gb": 11.23}

pykt/nips34/coldstart/pykt-extrakt-csNall-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 331.1, "epochs": 22, "best_epoch": 12, "dev_auc_pykt": 0.792282618273543, "n_train_users": 2833, "n_train_chunks": 5375, "n_dev_chunks": 1370, "batch_size": 256, "seq_len": 200, "n_val_users": 708, "score_s": 30.2, "flip_max_diff": 0.0, "peak_gb": 11.24}

pykt/nips34/coldstart/pykt-extrakt-csNall-s3/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 344.6, "epochs": 23, "best_epoch": 13, "dev_auc_pykt": 0.786330146427701, "n_train_users": 2833, "n_train_chunks": 5378, "n_dev_chunks": 1367, "batch_size": 256, "seq_len": 200, "n_val_users": 708, "score_s": 29.9, "flip_max_diff": 0.0, "peak_gb": 11.23}

pykt/nips34/coldstart/pykt-extrakt-csNall-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 402.0, "epochs": 27, "best_epoch": 17, "dev_auc_pykt": 0.7814616606641295, "n_train_users": 2833, "n_train_chunks": 5428, "n_dev_chunks": 1317, "batch_size": 256, "seq_len": 200, "n_val_users": 708, "score_s": 26.6, "flip_max_diff": 0.0, "peak_gb": 11.23}

pykt/nips34/coldstart/pykt-extrakt-ics0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 383.7, "epochs": 31, "best_epoch": 21, "dev_auc_pykt": 0.7935874822209614, "n_train_users": 2833, "n_train_chunks": 4804, "n_dev_chunks": 1195, "batch_size": 256, "seq_len": 200, "n_val_users": 708, "score_s": 1.2, "flip_max_diff": 0.0, "peak_gb": 11.23}

pykt/nips34/coldstart/pykt-folibikt-csN128-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 72.3, "epochs": 75, "best_epoch": 65, "dev_auc_pykt": 0.7801854038134941, "n_train_users": 102, "n_train_chunks": 190, "n_dev_chunks": 47, "batch_size": 64, "seq_len": 200, "n_val_users": 26, "score_s": 61.2, "flip_max_diff": 0.0, "peak_gb": 8.13}

pykt/nips34/coldstart/pykt-folibikt-csN128-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 28.2, "epochs": 30, "best_epoch": 20, "dev_auc_pykt": 0.7374897312895178, "n_train_users": 102, "n_train_chunks": 197, "n_dev_chunks": 45, "batch_size": 64, "seq_len": 200, "n_val_users": 26, "score_s": 60.5, "flip_max_diff": 0.0, "peak_gb": 8.13}

pykt/nips34/coldstart/pykt-folibikt-csN128-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 52.3, "epochs": 59, "best_epoch": 49, "dev_auc_pykt": 0.769654018599261, "n_train_users": 102, "n_train_chunks": 205, "n_dev_chunks": 54, "batch_size": 64, "seq_len": 200, "n_val_users": 26, "score_s": 53.6, "flip_max_diff": 0.0, "peak_gb": 8.13}

pykt/nips34/coldstart/pykt-folibikt-csN128-s3/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 62.3, "epochs": 58, "best_epoch": 48, "dev_auc_pykt": 0.7612836935551909, "n_train_users": 102, "n_train_chunks": 203, "n_dev_chunks": 45, "batch_size": 64, "seq_len": 200, "n_val_users": 26, "score_s": 60.3, "flip_max_diff": 0.0, "peak_gb": 8.13}

pykt/nips34/coldstart/pykt-folibikt-csN128-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 45.9, "epochs": 68, "best_epoch": 58, "dev_auc_pykt": 0.7404292984129892, "n_train_users": 102, "n_train_chunks": 200, "n_dev_chunks": 47, "batch_size": 64, "seq_len": 200, "n_val_users": 26, "score_s": 32.1, "flip_max_diff": 0.0, "peak_gb": 8.13}

pykt/nips34/coldstart/pykt-folibikt-csN16-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 16.5, "epochs": 30, "best_epoch": 20, "dev_auc_pykt": 0.6764571428571429, "n_train_users": 13, "n_train_chunks": 32, "n_dev_chunks": 4, "batch_size": 64, "seq_len": 200, "n_val_users": 3, "score_s": 90.5, "flip_max_diff": 0.0, "peak_gb": 4.26}

pykt/nips34/coldstart/pykt-folibikt-csN16-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 5.2, "epochs": 20, "best_epoch": 10, "dev_auc_pykt": 0.6316552265544797, "n_train_users": 13, "n_train_chunks": 27, "n_dev_chunks": 6, "batch_size": 64, "seq_len": 200, "n_val_users": 3, "score_s": 45.5, "flip_max_diff": 0.0, "peak_gb": 3.67}

pykt/nips34/coldstart/pykt-folibikt-csN16-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 4.7, "epochs": 19, "best_epoch": 9, "dev_auc_pykt": 0.6015259008164469, "n_train_users": 13, "n_train_chunks": 28, "n_dev_chunks": 6, "batch_size": 64, "seq_len": 200, "n_val_users": 3, "score_s": 61.4, "flip_max_diff": 0.0, "peak_gb": 3.78}

pykt/nips34/coldstart/pykt-folibikt-csN16-s3/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 8.5, "epochs": 31, "best_epoch": 21, "dev_auc_pykt": 0.7063699996089624, "n_train_users": 13, "n_train_chunks": 28, "n_dev_chunks": 5, "batch_size": 64, "seq_len": 200, "n_val_users": 3, "score_s": 44.4, "flip_max_diff": 0.0, "peak_gb": 3.78}

pykt/nips34/coldstart/pykt-folibikt-csN16-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 6.0, "epochs": 34, "best_epoch": 24, "dev_auc_pykt": 0.6189295384306825, "n_train_users": 13, "n_train_chunks": 27, "n_dev_chunks": 7, "batch_size": 64, "seq_len": 200, "n_val_users": 3, "score_s": 61.0, "flip_max_diff": 0.0, "peak_gb": 3.67}

pykt/nips34/coldstart/pykt-folibikt-csN256-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 140.4, "epochs": 64, "best_epoch": 54, "dev_auc_pykt": 0.7903469627347164, "n_train_users": 205, "n_train_chunks": 389, "n_dev_chunks": 86, "batch_size": 64, "seq_len": 200, "n_val_users": 51, "score_s": 61.8, "flip_max_diff": 0.0, "peak_gb": 8.13}