Add files using upload-large-folder tool

pykt/algebra2005/coldstart/pykt-akt-ics1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 309.1, "epochs": 27, "best_epoch": 17, "dev_auc_pykt": 0.816657579289279, "n_train_users": 327, "n_train_chunks": 2416, "n_dev_chunks": 473, "batch_size": 64, "seq_len": 200, "n_val_users": 82, "score_s": 2.2, "flip_max_diff": 0.0, "peak_gb": 9.12}

pykt/algebra2005/coldstart/pykt-akt-ics2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 322.9, "epochs": 40, "best_epoch": 30, "dev_auc_pykt": 0.8162942542536871, "n_train_users": 327, "n_train_chunks": 2177, "n_dev_chunks": 701, "batch_size": 64, "seq_len": 200, "n_val_users": 82, "score_s": 1.4, "flip_max_diff": 0.0, "peak_gb": 9.12}

pykt/algebra2005/coldstart/pykt-atdkt-ics1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 20.1, "epochs": 28, "best_epoch": 18, "dev_auc_pykt": 0.809253368583674, "n_train_users": 327, "n_train_chunks": 2416, "n_dev_chunks": 473, "batch_size": 256, "seq_len": 200, "n_val_users": 82, "score_s": 0.2, "flip_max_diff": 0.0, "peak_gb": 1.07}

pykt/algebra2005/coldstart/pykt-atdkt-ics2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 22.7, "epochs": 30, "best_epoch": 20, "dev_auc_pykt": 0.8059630681196792, "n_train_users": 327, "n_train_chunks": 2177, "n_dev_chunks": 701, "batch_size": 256, "seq_len": 200, "n_val_users": 82, "score_s": 0.2, "flip_max_diff": 0.0, "peak_gb": 1.07}

pykt/algebra2005/coldstart/pykt-atkt-csN128-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 29.3, "epochs": 63, "best_epoch": 53, "dev_auc_pykt": 0.7986576042029747, "n_train_users": 102, "n_train_chunks": 862, "n_dev_chunks": 208, "batch_size": 64, "seq_len": 200, "n_val_users": 26, "score_s": 0.9, "flip_max_diff": 0.0, "peak_gb": 0.37}

pykt/algebra2005/coldstart/pykt-atkt-csN128-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 39.8, "epochs": 50, "best_epoch": 40, "dev_auc_pykt": 0.7901059166654918, "n_train_users": 102, "n_train_chunks": 993, "n_dev_chunks": 171, "batch_size": 64, "seq_len": 200, "n_val_users": 26, "score_s": 1.3, "flip_max_diff": 0.0, "peak_gb": 0.37}

pykt/algebra2005/coldstart/pykt-atkt-csN128-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 39.1, "epochs": 61, "best_epoch": 51, "dev_auc_pykt": 0.8094294274503087, "n_train_users": 102, "n_train_chunks": 875, "n_dev_chunks": 252, "batch_size": 64, "seq_len": 200, "n_val_users": 26, "score_s": 1.9, "flip_max_diff": 0.0, "peak_gb": 0.37}

pykt/algebra2005/coldstart/pykt-atkt-csN128-s3/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 41.2, "epochs": 61, "best_epoch": 51, "dev_auc_pykt": 0.8050570823079026, "n_train_users": 102, "n_train_chunks": 965, "n_dev_chunks": 185, "batch_size": 64, "seq_len": 200, "n_val_users": 26, "score_s": 1.9, "flip_max_diff": 0.0, "peak_gb": 0.37}

pykt/algebra2005/coldstart/pykt-atkt-csN128-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 37.4, "epochs": 52, "best_epoch": 42, "dev_auc_pykt": 0.7955756505129479, "n_train_users": 102, "n_train_chunks": 971, "n_dev_chunks": 222, "batch_size": 64, "seq_len": 200, "n_val_users": 26, "score_s": 1.2, "flip_max_diff": 0.0, "peak_gb": 0.37}

pykt/algebra2005/coldstart/pykt-atkt-csN16-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 4.3, "epochs": 66, "best_epoch": 56, "dev_auc_pykt": 0.7527263289210393, "n_train_users": 13, "n_train_chunks": 90, "n_dev_chunks": 34, "batch_size": 64, "seq_len": 200, "n_val_users": 3, "score_s": 0.7, "flip_max_diff": 0.0, "peak_gb": 0.37}

pykt/algebra2005/coldstart/pykt-atkt-csN16-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 8.4, "epochs": 75, "best_epoch": 65, "dev_auc_pykt": 0.8047932945509619, "n_train_users": 13, "n_train_chunks": 120, "n_dev_chunks": 14, "batch_size": 64, "seq_len": 200, "n_val_users": 3, "score_s": 1.7, "flip_max_diff": 0.0, "peak_gb": 0.37}

pykt/algebra2005/coldstart/pykt-atkt-csN16-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 4.8, "epochs": 79, "best_epoch": 69, "dev_auc_pykt": 0.7290378342828194, "n_train_users": 13, "n_train_chunks": 104, "n_dev_chunks": 32, "batch_size": 64, "seq_len": 200, "n_val_users": 3, "score_s": 0.8, "flip_max_diff": 0.0, "peak_gb": 0.37}

pykt/algebra2005/coldstart/pykt-atkt-csN16-s3/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 5.9, "epochs": 77, "best_epoch": 67, "dev_auc_pykt": 0.7306930595997921, "n_train_users": 13, "n_train_chunks": 99, "n_dev_chunks": 19, "batch_size": 64, "seq_len": 200, "n_val_users": 3, "score_s": 0.9, "flip_max_diff": 0.0, "peak_gb": 0.37}

pykt/algebra2005/coldstart/pykt-atkt-csN16-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 3.5, "epochs": 24, "best_epoch": 14, "dev_auc_pykt": 0.6136910268270122, "n_train_users": 13, "n_train_chunks": 119, "n_dev_chunks": 4, "batch_size": 64, "seq_len": 200, "n_val_users": 3, "score_s": 1.6, "flip_max_diff": 0.0, "peak_gb": 0.37}

pykt/algebra2005/coldstart/pykt-atkt-csN256-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 62.3, "epochs": 60, "best_epoch": 50, "dev_auc_pykt": 0.8117320732365726, "n_train_users": 205, "n_train_chunks": 1810, "n_dev_chunks": 365, "batch_size": 64, "seq_len": 200, "n_val_users": 51, "score_s": 0.9, "flip_max_diff": 0.0, "peak_gb": 0.37}

pykt/algebra2005/coldstart/pykt-atkt-csN256-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 110.3, "epochs": 70, "best_epoch": 60, "dev_auc_pykt": 0.8075360762206132, "n_train_users": 205, "n_train_chunks": 1841, "n_dev_chunks": 446, "batch_size": 64, "seq_len": 200, "n_val_users": 51, "score_s": 1.9, "flip_max_diff": 0.0, "peak_gb": 0.37}

pykt/algebra2005/coldstart/pykt-atkt-csN256-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 67.0, "epochs": 50, "best_epoch": 40, "dev_auc_pykt": 0.8133892813921042, "n_train_users": 205, "n_train_chunks": 1802, "n_dev_chunks": 362, "batch_size": 64, "seq_len": 200, "n_val_users": 51, "score_s": 1.6, "flip_max_diff": 0.0, "peak_gb": 0.37}

pykt/algebra2005/coldstart/pykt-atkt-csN256-s3/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 89.0, "epochs": 62, "best_epoch": 52, "dev_auc_pykt": 0.8205246508771007, "n_train_users": 205, "n_train_chunks": 1935, "n_dev_chunks": 319, "batch_size": 64, "seq_len": 200, "n_val_users": 51, "score_s": 1.6, "flip_max_diff": 0.0, "peak_gb": 0.37}

pykt/algebra2005/coldstart/pykt-atkt-csN256-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 80.0, "epochs": 59, "best_epoch": 49, "dev_auc_pykt": 0.8211367506913781, "n_train_users": 205, "n_train_chunks": 1763, "n_dev_chunks": 589, "batch_size": 64, "seq_len": 200, "n_val_users": 51, "score_s": 1.9, "flip_max_diff": 0.0, "peak_gb": 0.37}

pykt/algebra2005/coldstart/pykt-atkt-csN32-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 8.1, "epochs": 65, "best_epoch": 55, "dev_auc_pykt": 0.8005186593342736, "n_train_users": 26, "n_train_chunks": 236, "n_dev_chunks": 46, "batch_size": 64, "seq_len": 200, "n_val_users": 6, "score_s": 0.9, "flip_max_diff": 0.0, "peak_gb": 0.37}

pykt/algebra2005/coldstart/pykt-atkt-csN32-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 13.0, "epochs": 84, "best_epoch": 74, "dev_auc_pykt": 0.7305552162997724, "n_train_users": 26, "n_train_chunks": 197, "n_dev_chunks": 72, "batch_size": 64, "seq_len": 200, "n_val_users": 6, "score_s": 1.0, "flip_max_diff": 0.0, "peak_gb": 0.37}

pykt/algebra2005/coldstart/pykt-atkt-csN32-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 11.1, "epochs": 63, "best_epoch": 53, "dev_auc_pykt": 0.7612582761002098, "n_train_users": 26, "n_train_chunks": 237, "n_dev_chunks": 114, "batch_size": 64, "seq_len": 200, "n_val_users": 6, "score_s": 1.4, "flip_max_diff": 0.0, "peak_gb": 0.37}

pykt/algebra2005/coldstart/pykt-atkt-csN32-s3/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 11.3, "epochs": 76, "best_epoch": 66, "dev_auc_pykt": 0.7955914846728777, "n_train_users": 26, "n_train_chunks": 205, "n_dev_chunks": 25, "batch_size": 64, "seq_len": 200, "n_val_users": 6, "score_s": 1.3, "flip_max_diff": 0.0, "peak_gb": 0.37}

pykt/algebra2005/coldstart/pykt-atkt-csN32-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 12.9, "epochs": 82, "best_epoch": 72, "dev_auc_pykt": 0.7699706838139657, "n_train_users": 26, "n_train_chunks": 240, "n_dev_chunks": 61, "batch_size": 64, "seq_len": 200, "n_val_users": 6, "score_s": 1.3, "flip_max_diff": 0.0, "peak_gb": 0.37}

pykt/algebra2005/coldstart/pykt-atkt-csN64-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 16.0, "epochs": 65, "best_epoch": 55, "dev_auc_pykt": 0.7688165324733827, "n_train_users": 51, "n_train_chunks": 466, "n_dev_chunks": 68, "batch_size": 64, "seq_len": 200, "n_val_users": 13, "score_s": 0.9, "flip_max_diff": 0.0, "peak_gb": 0.37}

pykt/algebra2005/coldstart/pykt-atkt-csN64-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 20.3, "epochs": 58, "best_epoch": 48, "dev_auc_pykt": 0.7816700809189051, "n_train_users": 51, "n_train_chunks": 465, "n_dev_chunks": 205, "batch_size": 64, "seq_len": 200, "n_val_users": 13, "score_s": 1.2, "flip_max_diff": 0.0, "peak_gb": 0.37}

pykt/algebra2005/coldstart/pykt-atkt-csN64-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 18.4, "epochs": 53, "best_epoch": 43, "dev_auc_pykt": 0.7691337656383529, "n_train_users": 51, "n_train_chunks": 477, "n_dev_chunks": 119, "batch_size": 64, "seq_len": 200, "n_val_users": 13, "score_s": 1.4, "flip_max_diff": 0.0, "peak_gb": 0.37}

pykt/algebra2005/coldstart/pykt-atkt-csN64-s3/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 20.0, "epochs": 67, "best_epoch": 57, "dev_auc_pykt": 0.7893151059054009, "n_train_users": 51, "n_train_chunks": 426, "n_dev_chunks": 162, "batch_size": 64, "seq_len": 200, "n_val_users": 13, "score_s": 1.3, "flip_max_diff": 0.0, "peak_gb": 0.37}

pykt/algebra2005/coldstart/pykt-atkt-csN64-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 19.1, "epochs": 56, "best_epoch": 46, "dev_auc_pykt": 0.7852786921987043, "n_train_users": 51, "n_train_chunks": 469, "n_dev_chunks": 109, "batch_size": 64, "seq_len": 200, "n_val_users": 13, "score_s": 1.0, "flip_max_diff": 0.0, "peak_gb": 0.37}

pykt/algebra2005/coldstart/pykt-atkt-csN8-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 2.0, "epochs": 62, "best_epoch": 52, "dev_auc_pykt": 0.6874735847171739, "n_train_users": 6, "n_train_chunks": 21, "n_dev_chunks": 9, "batch_size": 64, "seq_len": 200, "n_val_users": 2, "score_s": 0.7, "flip_max_diff": 0.0, "peak_gb": 0.21}

pykt/algebra2005/coldstart/pykt-atkt-csN8-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 4.2, "epochs": 36, "best_epoch": 26, "dev_auc_pykt": 0.7224514022852055, "n_train_users": 6, "n_train_chunks": 90, "n_dev_chunks": 4, "batch_size": 64, "seq_len": 200, "n_val_users": 2, "score_s": 1.6, "flip_max_diff": 0.0, "peak_gb": 0.37}

pykt/algebra2005/coldstart/pykt-atkt-csN8-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 1.7, "epochs": 19, "best_epoch": 9, "dev_auc_pykt": 0.665755098549556, "n_train_users": 6, "n_train_chunks": 22, "n_dev_chunks": 13, "batch_size": 64, "seq_len": 200, "n_val_users": 2, "score_s": 1.9, "flip_max_diff": 0.0, "peak_gb": 0.21}

pykt/algebra2005/coldstart/pykt-atkt-csN8-s3/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 5.7, "epochs": 62, "best_epoch": 52, "dev_auc_pykt": 0.6772726302123371, "n_train_users": 6, "n_train_chunks": 28, "n_dev_chunks": 50, "batch_size": 64, "seq_len": 200, "n_val_users": 2, "score_s": 1.7, "flip_max_diff": 0.0, "peak_gb": 0.21}

pykt/algebra2005/coldstart/pykt-atkt-csN8-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 4.8, "epochs": 55, "best_epoch": 45, "dev_auc_pykt": 0.7559784217624421, "n_train_users": 6, "n_train_chunks": 60, "n_dev_chunks": 7, "batch_size": 64, "seq_len": 200, "n_val_users": 2, "score_s": 1.7, "flip_max_diff": 0.0, "peak_gb": 0.35}

pykt/algebra2005/coldstart/pykt-atkt-csNall-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 117.5, "epochs": 52, "best_epoch": 42, "dev_auc_pykt": 0.8112173772800846, "n_train_users": 327, "n_train_chunks": 2921, "n_dev_chunks": 612, "batch_size": 64, "seq_len": 200, "n_val_users": 82, "score_s": 1.6, "flip_max_diff": 0.0, "peak_gb": 0.37}

pykt/algebra2005/coldstart/pykt-atkt-csNall-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 132.3, "epochs": 57, "best_epoch": 47, "dev_auc_pykt": 0.8180251353781818, "n_train_users": 327, "n_train_chunks": 2954, "n_dev_chunks": 579, "batch_size": 64, "seq_len": 200, "n_val_users": 82, "score_s": 1.7, "flip_max_diff": 0.0, "peak_gb": 0.37}

pykt/algebra2005/coldstart/pykt-atkt-csNall-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 130.6, "epochs": 60, "best_epoch": 50, "dev_auc_pykt": 0.815953548262892, "n_train_users": 327, "n_train_chunks": 2675, "n_dev_chunks": 858, "batch_size": 64, "seq_len": 200, "n_val_users": 82, "score_s": 1.6, "flip_max_diff": 0.0, "peak_gb": 0.37}

pykt/algebra2005/coldstart/pykt-atkt-csNall-s3/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 108.6, "epochs": 48, "best_epoch": 38, "dev_auc_pykt": 0.8168038693104007, "n_train_users": 327, "n_train_chunks": 2949, "n_dev_chunks": 584, "batch_size": 64, "seq_len": 200, "n_val_users": 82, "score_s": 1.5, "flip_max_diff": 0.0, "peak_gb": 0.37}

pykt/algebra2005/coldstart/pykt-atkt-csNall-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 126.8, "epochs": 54, "best_epoch": 44, "dev_auc_pykt": 0.8131889439440788, "n_train_users": 327, "n_train_chunks": 2883, "n_dev_chunks": 650, "batch_size": 64, "seq_len": 200, "n_val_users": 82, "score_s": 1.5, "flip_max_diff": 0.0, "peak_gb": 0.37}

pykt/algebra2005/coldstart/pykt-atkt-ics0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 124.6, "epochs": 63, "best_epoch": 53, "dev_auc_pykt": 0.8042570551009907, "n_train_users": 327, "n_train_chunks": 2355, "n_dev_chunks": 498, "batch_size": 64, "seq_len": 200, "n_val_users": 82, "score_s": 0.1, "flip_max_diff": 0.0, "peak_gb": 0.37}

pykt/algebra2005/coldstart/pykt-atkt-ics1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 126.2, "epochs": 56, "best_epoch": 46, "dev_auc_pykt": 0.8124205069901996, "n_train_users": 327, "n_train_chunks": 2416, "n_dev_chunks": 473, "batch_size": 64, "seq_len": 200, "n_val_users": 82, "score_s": 0.2, "flip_max_diff": 0.0, "peak_gb": 0.37}

pykt/algebra2005/coldstart/pykt-atkt-ics2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 96.5, "epochs": 54, "best_epoch": 44, "dev_auc_pykt": 0.8049858213676326, "n_train_users": 327, "n_train_chunks": 2177, "n_dev_chunks": 701, "batch_size": 64, "seq_len": 200, "n_val_users": 82, "score_s": 0.3, "flip_max_diff": 0.0, "peak_gb": 0.37}

pykt/algebra2005/coldstart/pykt-atktfix-ics1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 146.5, "epochs": 107, "best_epoch": 97, "dev_auc_pykt": 0.7863100104878623, "n_train_users": 327, "n_train_chunks": 2416, "n_dev_chunks": 473, "batch_size": 256, "seq_len": 200, "n_val_users": 82, "score_s": 0.1, "flip_max_diff": 0.0, "peak_gb": 1.47}

pykt/algebra2005/coldstart/pykt-atktfix-ics2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 164.8, "epochs": 122, "best_epoch": 112, "dev_auc_pykt": 0.7852292063762809, "n_train_users": 327, "n_train_chunks": 2177, "n_dev_chunks": 701, "batch_size": 256, "seq_len": 200, "n_val_users": 82, "score_s": 0.1, "flip_max_diff": 0.0, "peak_gb": 1.47}

pykt/algebra2005/coldstart/pykt-cskt-csN128-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 21.2, "epochs": 30, "best_epoch": 20, "dev_auc_pykt": 0.7984233476328695, "n_train_users": 102, "n_train_chunks": 862, "n_dev_chunks": 208, "batch_size": 256, "seq_len": 200, "n_val_users": 26, "score_s": 2.0, "flip_max_diff": 0.0, "peak_gb": 5.1}

pykt/algebra2005/coldstart/pykt-cskt-csN128-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 35.5, "epochs": 32, "best_epoch": 22, "dev_auc_pykt": 0.8052203979673311, "n_train_users": 102, "n_train_chunks": 993, "n_dev_chunks": 171, "batch_size": 256, "seq_len": 200, "n_val_users": 26, "score_s": 2.2, "flip_max_diff": 0.0, "peak_gb": 5.1}

pykt/algebra2005/coldstart/pykt-cskt-csN128-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 27.6, "epochs": 32, "best_epoch": 22, "dev_auc_pykt": 0.8172406258019657, "n_train_users": 102, "n_train_chunks": 875, "n_dev_chunks": 252, "batch_size": 256, "seq_len": 200, "n_val_users": 26, "score_s": 2.5, "flip_max_diff": 0.0, "peak_gb": 5.1}

pykt/algebra2005/coldstart/pykt-cskt-csN128-s3/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 32.3, "epochs": 33, "best_epoch": 23, "dev_auc_pykt": 0.8119329692680171, "n_train_users": 102, "n_train_chunks": 965, "n_dev_chunks": 185, "batch_size": 256, "seq_len": 200, "n_val_users": 26, "score_s": 2.5, "flip_max_diff": 0.0, "peak_gb": 5.1}

pykt/algebra2005/coldstart/pykt-cskt-csN128-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 35.1, "epochs": 34, "best_epoch": 24, "dev_auc_pykt": 0.8062801338604006, "n_train_users": 102, "n_train_chunks": 971, "n_dev_chunks": 222, "batch_size": 256, "seq_len": 200, "n_val_users": 26, "score_s": 2.7, "flip_max_diff": 0.0, "peak_gb": 5.1}

pykt/algebra2005/coldstart/pykt-cskt-csN16-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 10.5, "epochs": 71, "best_epoch": 61, "dev_auc_pykt": 0.7639919959142324, "n_train_users": 13, "n_train_chunks": 90, "n_dev_chunks": 34, "batch_size": 256, "seq_len": 200, "n_val_users": 3, "score_s": 1.9, "flip_max_diff": 0.0, "peak_gb": 1.97}