pod backup 2026-11-07: pykt (1200-1600)

pykt/assist2017/coldstart/pykt-extrakt-csN32-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 6.2, "epochs": 24, "best_epoch": 14, "dev_auc_pykt": 0.596067312823045, "n_train_users": 26, "n_train_chunks": 118, "n_dev_chunks": 15, "batch_size": 256, "seq_len": 200, "n_val_users": 6, "score_s": 10.6, "flip_max_diff": 0.0, "peak_gb": 5.32}

pykt/assist2017/coldstart/pykt-extrakt-csN64-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 11.2, "epochs": 15, "best_epoch": 5, "dev_auc_pykt": 0.6693076424768134, "n_train_users": 51, "n_train_chunks": 263, "n_dev_chunks": 71, "batch_size": 256, "seq_len": 200, "n_val_users": 13, "score_s": 15.2, "flip_max_diff": 0.0, "peak_gb": 11.26}

pykt/assist2017/coldstart/pykt-extrakt-csN64-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 14.2, "epochs": 23, "best_epoch": 13, "dev_auc_pykt": 0.6517536056687119, "n_train_users": 51, "n_train_chunks": 249, "n_dev_chunks": 80, "batch_size": 256, "seq_len": 200, "n_val_users": 13, "score_s": 16.4, "flip_max_diff": 0.0, "peak_gb": 10.93}

pykt/assist2017/coldstart/pykt-extrakt-csN64-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 12.0, "epochs": 19, "best_epoch": 9, "dev_auc_pykt": 0.6238747592485531, "n_train_users": 51, "n_train_chunks": 250, "n_dev_chunks": 54, "batch_size": 256, "seq_len": 200, "n_val_users": 13, "score_s": 15.2, "flip_max_diff": 0.0, "peak_gb": 10.98}

pykt/assist2017/coldstart/pykt-extrakt-csN64-s3/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 10.0, "epochs": 19, "best_epoch": 9, "dev_auc_pykt": 0.6836137054266712, "n_train_users": 51, "n_train_chunks": 199, "n_dev_chunks": 48, "batch_size": 256, "seq_len": 200, "n_val_users": 13, "score_s": 16.7, "flip_max_diff": 0.0, "peak_gb": 8.8}

pykt/assist2017/coldstart/pykt-extrakt-csN64-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 7.0, "epochs": 18, "best_epoch": 8, "dev_auc_pykt": 0.7045396792153167, "n_train_users": 51, "n_train_chunks": 199, "n_dev_chunks": 57, "batch_size": 256, "seq_len": 200, "n_val_users": 13, "score_s": 10.5, "flip_max_diff": 0.0, "peak_gb": 8.79}

pykt/assist2017/coldstart/pykt-extrakt-csN8-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 10.5, "epochs": 26, "best_epoch": 16, "dev_auc_pykt": 0.5975900561873109, "n_train_users": 6, "n_train_chunks": 28, "n_dev_chunks": 10, "batch_size": 256, "seq_len": 200, "n_val_users": 2, "score_s": 26.2, "flip_max_diff": 0.0, "peak_gb": 1.47}

pykt/assist2017/coldstart/pykt-extrakt-csN8-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 2.7, "epochs": 15, "best_epoch": 5, "dev_auc_pykt": 0.5250420875420876, "n_train_users": 6, "n_train_chunks": 30, "n_dev_chunks": 6, "batch_size": 256, "seq_len": 200, "n_val_users": 2, "score_s": 12.1, "flip_max_diff": 0.0, "peak_gb": 1.57}

pykt/assist2017/coldstart/pykt-extrakt-csN8-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 6.7, "epochs": 24, "best_epoch": 14, "dev_auc_pykt": 0.6298207015148067, "n_train_users": 6, "n_train_chunks": 35, "n_dev_chunks": 7, "batch_size": 256, "seq_len": 200, "n_val_users": 2, "score_s": 14.6, "flip_max_diff": 0.0, "peak_gb": 1.78}

pykt/assist2017/coldstart/pykt-extrakt-csN8-s3/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 3.2, "epochs": 16, "best_epoch": 6, "dev_auc_pykt": 0.6116377759303148, "n_train_users": 6, "n_train_chunks": 22, "n_dev_chunks": 7, "batch_size": 256, "seq_len": 200, "n_val_users": 2, "score_s": 15.9, "flip_max_diff": 0.0, "peak_gb": 1.2}

pykt/assist2017/coldstart/pykt-extrakt-csN8-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 1.5, "epochs": 14, "best_epoch": 4, "dev_auc_pykt": 0.5392132843337416, "n_train_users": 6, "n_train_chunks": 16, "n_dev_chunks": 7, "batch_size": 256, "seq_len": 200, "n_val_users": 2, "score_s": 10.7, "flip_max_diff": 0.0, "peak_gb": 1.18}

pykt/assist2017/coldstart/pykt-extrakt-csNall-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 579.2, "epochs": 45, "best_epoch": 35, "dev_auc_pykt": 0.7621301054248222, "n_train_users": 983, "n_train_chunks": 4659, "n_dev_chunks": 1096, "batch_size": 256, "seq_len": 200, "n_val_users": 246, "score_s": 20.7, "flip_max_diff": 0.0, "peak_gb": 11.23}

pykt/assist2017/coldstart/pykt-extrakt-csNall-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 501.0, "epochs": 42, "best_epoch": 32, "dev_auc_pykt": 0.7725907575862949, "n_train_users": 983, "n_train_chunks": 4602, "n_dev_chunks": 1153, "batch_size": 256, "seq_len": 200, "n_val_users": 246, "score_s": 20.4, "flip_max_diff": 0.0, "peak_gb": 11.23}

pykt/assist2017/coldstart/pykt-extrakt-csNall-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 545.1, "epochs": 45, "best_epoch": 35, "dev_auc_pykt": 0.764671511026018, "n_train_users": 983, "n_train_chunks": 4611, "n_dev_chunks": 1144, "batch_size": 256, "seq_len": 200, "n_val_users": 246, "score_s": 17.6, "flip_max_diff": 0.0, "peak_gb": 11.23}

pykt/assist2017/coldstart/pykt-extrakt-csNall-s3/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 561.3, "epochs": 42, "best_epoch": 32, "dev_auc_pykt": 0.7664135271932737, "n_train_users": 983, "n_train_chunks": 4576, "n_dev_chunks": 1179, "batch_size": 256, "seq_len": 200, "n_val_users": 246, "score_s": 20.0, "flip_max_diff": 0.0, "peak_gb": 11.23}

pykt/assist2017/coldstart/pykt-extrakt-csNall-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 541.1, "epochs": 41, "best_epoch": 31, "dev_auc_pykt": 0.7584115925694561, "n_train_users": 983, "n_train_chunks": 4613, "n_dev_chunks": 1142, "batch_size": 256, "seq_len": 200, "n_val_users": 246, "score_s": 21.7, "flip_max_diff": 0.0, "peak_gb": 11.23}

pykt/assist2017/coldstart/pykt-folibikt-csN128-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 33.2, "epochs": 12, "best_epoch": 2, "dev_auc_pykt": 0.6387275416642708, "n_train_users": 102, "n_train_chunks": 526, "n_dev_chunks": 126, "batch_size": 64, "seq_len": 200, "n_val_users": 26, "score_s": 42.4, "flip_max_diff": 0.0, "peak_gb": 8.13}

pykt/assist2017/coldstart/pykt-folibikt-csN128-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 25.4, "epochs": 11, "best_epoch": 1, "dev_auc_pykt": 0.6776628666847824, "n_train_users": 102, "n_train_chunks": 475, "n_dev_chunks": 102, "batch_size": 64, "seq_len": 200, "n_val_users": 26, "score_s": 45.3, "flip_max_diff": 0.0, "peak_gb": 8.13}

pykt/assist2017/coldstart/pykt-folibikt-csN128-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 22.4, "epochs": 11, "best_epoch": 1, "dev_auc_pykt": 0.6178856955946739, "n_train_users": 102, "n_train_chunks": 492, "n_dev_chunks": 139, "batch_size": 64, "seq_len": 200, "n_val_users": 26, "score_s": 37.2, "flip_max_diff": 0.0, "peak_gb": 8.13}

pykt/assist2017/coldstart/pykt-folibikt-csN128-s3/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 30.7, "epochs": 12, "best_epoch": 2, "dev_auc_pykt": 0.6358905569511789, "n_train_users": 102, "n_train_chunks": 451, "n_dev_chunks": 126, "batch_size": 64, "seq_len": 200, "n_val_users": 26, "score_s": 43.9, "flip_max_diff": 0.0, "peak_gb": 8.13}

pykt/assist2017/coldstart/pykt-folibikt-csN128-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 24.1, "epochs": 11, "best_epoch": 1, "dev_auc_pykt": 0.6325037513659865, "n_train_users": 102, "n_train_chunks": 397, "n_dev_chunks": 92, "batch_size": 64, "seq_len": 200, "n_val_users": 26, "score_s": 42.7, "flip_max_diff": 0.0, "peak_gb": 8.13}

pykt/assist2017/coldstart/pykt-folibikt-csN16-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 20.3, "epochs": 35, "best_epoch": 25, "dev_auc_pykt": 0.6107731933500689, "n_train_users": 13, "n_train_chunks": 56, "n_dev_chunks": 13, "batch_size": 64, "seq_len": 200, "n_val_users": 3, "score_s": 70.5, "flip_max_diff": 0.0, "peak_gb": 7.16}

pykt/assist2017/coldstart/pykt-folibikt-csN16-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 7.1, "epochs": 21, "best_epoch": 11, "dev_auc_pykt": 0.6523482245131729, "n_train_users": 13, "n_train_chunks": 54, "n_dev_chunks": 13, "batch_size": 64, "seq_len": 200, "n_val_users": 3, "score_s": 36.1, "flip_max_diff": 0.0, "peak_gb": 6.92}

pykt/assist2017/coldstart/pykt-folibikt-csN16-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 7.9, "epochs": 26, "best_epoch": 16, "dev_auc_pykt": 0.6096389276305595, "n_train_users": 13, "n_train_chunks": 64, "n_dev_chunks": 14, "batch_size": 64, "seq_len": 200, "n_val_users": 3, "score_s": 42.5, "flip_max_diff": 0.0, "peak_gb": 8.13}

pykt/assist2017/coldstart/pykt-folibikt-csN16-s3/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 6.8, "epochs": 31, "best_epoch": 21, "dev_auc_pykt": 0.5731934693245254, "n_train_users": 13, "n_train_chunks": 36, "n_dev_chunks": 13, "batch_size": 64, "seq_len": 200, "n_val_users": 3, "score_s": 42.9, "flip_max_diff": 0.0, "peak_gb": 4.75}

pykt/assist2017/coldstart/pykt-folibikt-csN16-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 7.2, "epochs": 22, "best_epoch": 12, "dev_auc_pykt": 0.5385800383773413, "n_train_users": 13, "n_train_chunks": 53, "n_dev_chunks": 9, "batch_size": 64, "seq_len": 200, "n_val_users": 3, "score_s": 41.4, "flip_max_diff": 0.0, "peak_gb": 6.8}

pykt/assist2017/coldstart/pykt-folibikt-csN256-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 352.6, "epochs": 68, "best_epoch": 58, "dev_auc_pykt": 0.7422730987022138, "n_train_users": 205, "n_train_chunks": 1017, "n_dev_chunks": 216, "batch_size": 64, "seq_len": 200, "n_val_users": 51, "score_s": 40.5, "flip_max_diff": 0.0, "peak_gb": 8.13}

pykt/assist2017/coldstart/pykt-folibikt-csN256-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 476.7, "epochs": 104, "best_epoch": 94, "dev_auc_pykt": 0.7318681064075554, "n_train_users": 205, "n_train_chunks": 954, "n_dev_chunks": 240, "batch_size": 64, "seq_len": 200, "n_val_users": 51, "score_s": 43.3, "flip_max_diff": 0.0, "peak_gb": 8.13}

pykt/assist2017/coldstart/pykt-folibikt-csN256-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 372.0, "epochs": 77, "best_epoch": 67, "dev_auc_pykt": 0.7231781505992434, "n_train_users": 205, "n_train_chunks": 955, "n_dev_chunks": 227, "batch_size": 64, "seq_len": 200, "n_val_users": 51, "score_s": 45.1, "flip_max_diff": 0.0, "peak_gb": 8.13}

pykt/assist2017/coldstart/pykt-folibikt-csN256-s3/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 311.5, "epochs": 70, "best_epoch": 60, "dev_auc_pykt": 0.7369892212343677, "n_train_users": 205, "n_train_chunks": 910, "n_dev_chunks": 225, "batch_size": 64, "seq_len": 200, "n_val_users": 51, "score_s": 40.7, "flip_max_diff": 0.0, "peak_gb": 8.13}

pykt/assist2017/coldstart/pykt-folibikt-csN256-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 316.8, "epochs": 73, "best_epoch": 63, "dev_auc_pykt": 0.7283524106198372, "n_train_users": 205, "n_train_chunks": 838, "n_dev_chunks": 209, "batch_size": 64, "seq_len": 200, "n_val_users": 51, "score_s": 41.7, "flip_max_diff": 0.0, "peak_gb": 8.13}

pykt/assist2017/coldstart/pykt-folibikt-csN32-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 10.3, "epochs": 17, "best_epoch": 7, "dev_auc_pykt": 0.6210459300608122, "n_train_users": 26, "n_train_chunks": 103, "n_dev_chunks": 43, "batch_size": 64, "seq_len": 200, "n_val_users": 6, "score_s": 30.5, "flip_max_diff": 0.0, "peak_gb": 8.13}

pykt/assist2017/coldstart/pykt-folibikt-csN32-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 8.8, "epochs": 15, "best_epoch": 5, "dev_auc_pykt": 0.6754845548152635, "n_train_users": 26, "n_train_chunks": 117, "n_dev_chunks": 30, "batch_size": 64, "seq_len": 200, "n_val_users": 6, "score_s": 39.2, "flip_max_diff": 0.0, "peak_gb": 8.13}

pykt/assist2017/coldstart/pykt-folibikt-csN32-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 12.9, "epochs": 15, "best_epoch": 5, "dev_auc_pykt": 0.6120882943083186, "n_train_users": 26, "n_train_chunks": 134, "n_dev_chunks": 28, "batch_size": 64, "seq_len": 200, "n_val_users": 6, "score_s": 33.6, "flip_max_diff": 0.0, "peak_gb": 8.13}

pykt/assist2017/coldstart/pykt-folibikt-csN32-s3/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 8.3, "epochs": 15, "best_epoch": 5, "dev_auc_pykt": 0.6565838363076415, "n_train_users": 26, "n_train_chunks": 91, "n_dev_chunks": 37, "batch_size": 64, "seq_len": 200, "n_val_users": 6, "score_s": 34.7, "flip_max_diff": 0.0, "peak_gb": 8.13}

pykt/assist2017/coldstart/pykt-folibikt-csN32-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 6.3, "epochs": 13, "best_epoch": 3, "dev_auc_pykt": 0.5885491745179712, "n_train_users": 26, "n_train_chunks": 118, "n_dev_chunks": 15, "batch_size": 64, "seq_len": 200, "n_val_users": 6, "score_s": 22.7, "flip_max_diff": 0.0, "peak_gb": 8.14}

pykt/assist2017/coldstart/pykt-folibikt-csN64-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 21.2, "epochs": 15, "best_epoch": 5, "dev_auc_pykt": 0.6052298115055853, "n_train_users": 51, "n_train_chunks": 263, "n_dev_chunks": 71, "batch_size": 64, "seq_len": 200, "n_val_users": 13, "score_s": 41.3, "flip_max_diff": 0.0, "peak_gb": 8.13}

pykt/assist2017/coldstart/pykt-folibikt-csN64-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 11.3, "epochs": 12, "best_epoch": 2, "dev_auc_pykt": 0.637442470722862, "n_train_users": 51, "n_train_chunks": 249, "n_dev_chunks": 80, "batch_size": 64, "seq_len": 200, "n_val_users": 13, "score_s": 37.4, "flip_max_diff": 0.0, "peak_gb": 8.13}

pykt/assist2017/coldstart/pykt-folibikt-csN64-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 15.1, "epochs": 13, "best_epoch": 3, "dev_auc_pykt": 0.6130487658466323, "n_train_users": 51, "n_train_chunks": 250, "n_dev_chunks": 54, "batch_size": 64, "seq_len": 200, "n_val_users": 13, "score_s": 42.4, "flip_max_diff": 0.0, "peak_gb": 8.13}

pykt/assist2017/coldstart/pykt-folibikt-csN64-s3/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 9.9, "epochs": 13, "best_epoch": 3, "dev_auc_pykt": 0.6613511381449784, "n_train_users": 51, "n_train_chunks": 199, "n_dev_chunks": 48, "batch_size": 64, "seq_len": 200, "n_val_users": 13, "score_s": 39.2, "flip_max_diff": 0.0, "peak_gb": 8.13}

pykt/assist2017/coldstart/pykt-folibikt-csN64-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 9.5, "epochs": 12, "best_epoch": 2, "dev_auc_pykt": 0.6828270241024835, "n_train_users": 51, "n_train_chunks": 199, "n_dev_chunks": 57, "batch_size": 64, "seq_len": 200, "n_val_users": 13, "score_s": 21.7, "flip_max_diff": 0.0, "peak_gb": 8.13}

pykt/assist2017/coldstart/pykt-folibikt-csN8-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 7.7, "epochs": 13, "best_epoch": 3, "dev_auc_pykt": 0.5559339463761419, "n_train_users": 6, "n_train_chunks": 28, "n_dev_chunks": 10, "batch_size": 64, "seq_len": 200, "n_val_users": 2, "score_s": 64.9, "flip_max_diff": 0.0, "peak_gb": 3.79}

pykt/assist2017/coldstart/pykt-folibikt-csN8-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 17.6, "epochs": 69, "best_epoch": 59, "dev_auc_pykt": 0.5548039923039922, "n_train_users": 6, "n_train_chunks": 30, "n_dev_chunks": 6, "batch_size": 64, "seq_len": 200, "n_val_users": 2, "score_s": 36.7, "flip_max_diff": 0.0, "peak_gb": 4.02}

pykt/assist2017/coldstart/pykt-folibikt-csN8-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 6.1, "epochs": 25, "best_epoch": 15, "dev_auc_pykt": 0.643552588321574, "n_train_users": 6, "n_train_chunks": 35, "n_dev_chunks": 7, "batch_size": 64, "seq_len": 200, "n_val_users": 2, "score_s": 42.7, "flip_max_diff": 0.0, "peak_gb": 4.62}

pykt/assist2017/coldstart/pykt-folibikt-csN8-s3/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 6.1, "epochs": 24, "best_epoch": 14, "dev_auc_pykt": 0.5836135548634462, "n_train_users": 6, "n_train_chunks": 22, "n_dev_chunks": 7, "batch_size": 64, "seq_len": 200, "n_val_users": 2, "score_s": 38.5, "flip_max_diff": 0.0, "peak_gb": 3.05}

pykt/assist2017/coldstart/pykt-folibikt-csN8-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 2.9, "epochs": 14, "best_epoch": 4, "dev_auc_pykt": 0.5395263372805227, "n_train_users": 6, "n_train_chunks": 16, "n_dev_chunks": 7, "batch_size": 64, "seq_len": 200, "n_val_users": 2, "score_s": 24.4, "flip_max_diff": 0.0, "peak_gb": 2.33}

pykt/assist2017/coldstart/pykt-folibikt-csNall-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 2311.3, "epochs": 93, "best_epoch": 83, "dev_auc_pykt": 0.7754003073684705, "n_train_users": 983, "n_train_chunks": 4659, "n_dev_chunks": 1096, "batch_size": 64, "seq_len": 200, "n_val_users": 246, "score_s": 48.6, "flip_max_diff": 0.0, "peak_gb": 8.13}

pykt/assist2017/coldstart/pykt-folibikt-csNall-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 2110.3, "epochs": 80, "best_epoch": 70, "dev_auc_pykt": 0.7819878065379879, "n_train_users": 983, "n_train_chunks": 4602, "n_dev_chunks": 1153, "batch_size": 64, "seq_len": 200, "n_val_users": 246, "score_s": 50.6, "flip_max_diff": 0.0, "peak_gb": 8.14}

pykt/assist2017/coldstart/pykt-folibikt-csNall-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 1643.1, "epochs": 66, "best_epoch": 56, "dev_auc_pykt": 0.7802961124381527, "n_train_users": 983, "n_train_chunks": 4611, "n_dev_chunks": 1144, "batch_size": 64, "seq_len": 200, "n_val_users": 246, "score_s": 48.8, "flip_max_diff": 0.0, "peak_gb": 8.14}

pykt/assist2017/coldstart/pykt-folibikt-csNall-s3/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 1266.8, "epochs": 53, "best_epoch": 43, "dev_auc_pykt": 0.7753708901201116, "n_train_users": 983, "n_train_chunks": 4576, "n_dev_chunks": 1179, "batch_size": 64, "seq_len": 200, "n_val_users": 246, "score_s": 48.7, "flip_max_diff": 0.0, "peak_gb": 8.13}