pod backup 2026-11-07: pykt (4400-4800)

pykt/xes3g5m/coldstart/pykt-dimkt-csN8-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 8.6, "epochs": 13, "best_epoch": 3, "dev_auc_pykt": 0.6935763888888888, "n_train_users": 6, "n_train_chunks": 15, "n_dev_chunks": 4, "batch_size": 64, "seq_len": 200, "n_val_users": 2, "score_s": 66.7, "flip_max_diff": 0.0, "peak_gb": 0.11}

pykt/xes3g5m/coldstart/pykt-dimkt-csN8-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 9.1, "epochs": 13, "best_epoch": 3, "dev_auc_pykt": 0.5795765586618318, "n_train_users": 6, "n_train_chunks": 13, "n_dev_chunks": 4, "batch_size": 64, "seq_len": 200, "n_val_users": 2, "score_s": 68.1, "flip_max_diff": 0.0, "peak_gb": 0.11}

pykt/xes3g5m/coldstart/pykt-dimkt-csN8-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 9.2, "epochs": 14, "best_epoch": 4, "dev_auc_pykt": 0.605284421460892, "n_train_users": 6, "n_train_chunks": 15, "n_dev_chunks": 4, "batch_size": 64, "seq_len": 200, "n_val_users": 2, "score_s": 68.0, "flip_max_diff": 0.0, "peak_gb": 0.11}

pykt/xes3g5m/coldstart/pykt-dimkt-csN8-s3/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 20.7, "epochs": 30, "best_epoch": 20, "dev_auc_pykt": 0.6341399460593347, "n_train_users": 6, "n_train_chunks": 13, "n_dev_chunks": 5, "batch_size": 64, "seq_len": 200, "n_val_users": 2, "score_s": 70.5, "flip_max_diff": 0.0, "peak_gb": 0.11}

pykt/xes3g5m/coldstart/pykt-dimkt-csN8-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 10.4, "epochs": 15, "best_epoch": 5, "dev_auc_pykt": 0.6553442028985507, "n_train_users": 6, "n_train_chunks": 13, "n_dev_chunks": 4, "batch_size": 64, "seq_len": 200, "n_val_users": 2, "score_s": 65.5, "flip_max_diff": 0.0, "peak_gb": 0.11}

pykt/xes3g5m/coldstart/pykt-dimkt-csNall-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 905.8, "epochs": 16, "best_epoch": 6, "dev_auc_pykt": 0.7991163482555189, "n_train_users": 2880, "n_train_chunks": 6638, "n_dev_chunks": 1661, "batch_size": 64, "seq_len": 200, "n_val_users": 720, "score_s": 68.7, "flip_max_diff": 0.0, "peak_gb": 0.27}

pykt/xes3g5m/coldstart/pykt-dimkt-csNall-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 2302.0, "epochs": 40, "best_epoch": 30, "dev_auc_pykt": 0.8058500125154844, "n_train_users": 2880, "n_train_chunks": 6628, "n_dev_chunks": 1671, "batch_size": 64, "seq_len": 200, "n_val_users": 720, "score_s": 67.8, "flip_max_diff": 0.0, "peak_gb": 0.27}

pykt/xes3g5m/coldstart/pykt-dimkt-csNall-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 4372.6, "epochs": 76, "best_epoch": 66, "dev_auc_pykt": 0.8063628226617127, "n_train_users": 2880, "n_train_chunks": 6641, "n_dev_chunks": 1658, "batch_size": 64, "seq_len": 200, "n_val_users": 720, "score_s": 70.2, "flip_max_diff": 0.0, "peak_gb": 0.27}

pykt/xes3g5m/coldstart/pykt-dimkt-csNall-s3/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 1021.1, "epochs": 17, "best_epoch": 7, "dev_auc_pykt": 0.8018750659591951, "n_train_users": 2880, "n_train_chunks": 6659, "n_dev_chunks": 1640, "batch_size": 64, "seq_len": 200, "n_val_users": 720, "score_s": 70.5, "flip_max_diff": 0.0, "peak_gb": 0.27}

pykt/xes3g5m/coldstart/pykt-dimkt-csNall-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 1207.5, "epochs": 20, "best_epoch": 10, "dev_auc_pykt": 0.8041732779127048, "n_train_users": 2880, "n_train_chunks": 6638, "n_dev_chunks": 1661, "batch_size": 64, "seq_len": 200, "n_val_users": 720, "score_s": 74.2, "flip_max_diff": 0.0, "peak_gb": 0.27}

pykt/xes3g5m/coldstart/pykt-dkvmn-csNall-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 559.5, "epochs": 49, "best_epoch": 39, "dev_auc_pykt": 0.7600249811400875, "n_train_users": 2880, "n_train_chunks": 6638, "n_dev_chunks": 1661, "batch_size": 64, "seq_len": 200, "n_val_users": 720, "score_s": 15.0, "flip_max_diff": 0.0, "peak_gb": 2.64}

pykt/xes3g5m/coldstart/pykt-dkvmn-ics0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 558.5, "epochs": 54, "best_epoch": 44, "dev_auc_pykt": 0.7480073942798064, "n_train_users": 2880, "n_train_chunks": 5697, "n_dev_chunks": 1438, "batch_size": 64, "seq_len": 200, "n_val_users": 720, "score_s": 0.9, "flip_max_diff": 0.0, "peak_gb": 2.64}

pykt/xes3g5m/coldstart/pykt-dkvmn-ics1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 562.5, "epochs": 55, "best_epoch": 45, "dev_auc_pykt": 0.7613032195368468, "n_train_users": 2880, "n_train_chunks": 5561, "n_dev_chunks": 1423, "batch_size": 64, "seq_len": 200, "n_val_users": 720, "score_s": 1.8, "flip_max_diff": 0.0, "peak_gb": 2.64}

pykt/xes3g5m/coldstart/pykt-dkvmn-ics2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 610.6, "epochs": 58, "best_epoch": 48, "dev_auc_pykt": 0.7537624276582386, "n_train_users": 2880, "n_train_chunks": 5705, "n_dev_chunks": 1412, "batch_size": 64, "seq_len": 200, "n_val_users": 720, "score_s": 0.6, "flip_max_diff": 0.0, "peak_gb": 2.64}

pykt/xes3g5m/coldstart/pykt-dtransformer-csN128-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 199.7, "epochs": 32, "best_epoch": 22, "dev_auc_pykt": 0.7062171702977206, "n_train_users": 102, "n_train_chunks": 232, "n_dev_chunks": 61, "batch_size": 32, "seq_len": 200, "n_val_users": 26, "score_s": 92.6, "flip_max_diff": 0.0, "peak_gb": 15.14}

pykt/xes3g5m/coldstart/pykt-dtransformer-csN128-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 115.7, "epochs": 24, "best_epoch": 14, "dev_auc_pykt": 0.7252911814232894, "n_train_users": 102, "n_train_chunks": 244, "n_dev_chunks": 59, "batch_size": 32, "seq_len": 200, "n_val_users": 26, "score_s": 70.5, "flip_max_diff": 0.0, "peak_gb": 15.14}

pykt/xes3g5m/coldstart/pykt-dtransformer-csN16-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 10.5, "epochs": 14, "best_epoch": 4, "dev_auc_pykt": 0.6942652329749103, "n_train_users": 13, "n_train_chunks": 29, "n_dev_chunks": 7, "batch_size": 32, "seq_len": 200, "n_val_users": 3, "score_s": 88.2, "flip_max_diff": 0.0, "peak_gb": 13.74}

pykt/xes3g5m/coldstart/pykt-dtransformer-csN16-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 7.1, "epochs": 11, "best_epoch": 1, "dev_auc_pykt": 0.5468869689142246, "n_train_users": 13, "n_train_chunks": 31, "n_dev_chunks": 6, "batch_size": 32, "seq_len": 200, "n_val_users": 3, "score_s": 69.7, "flip_max_diff": 0.0, "peak_gb": 14.66}

pykt/xes3g5m/coldstart/pykt-dtransformer-csN16-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 10.3, "epochs": 16, "best_epoch": 6, "dev_auc_pykt": 0.6242699647084543, "n_train_users": 13, "n_train_chunks": 29, "n_dev_chunks": 8, "batch_size": 32, "seq_len": 200, "n_val_users": 3, "score_s": 70.2, "flip_max_diff": 0.0, "peak_gb": 13.72}

pykt/xes3g5m/coldstart/pykt-dtransformer-csN256-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 229.0, "epochs": 16, "best_epoch": 6, "dev_auc_pykt": 0.7189051960670623, "n_train_users": 205, "n_train_chunks": 475, "n_dev_chunks": 118, "batch_size": 32, "seq_len": 200, "n_val_users": 51, "score_s": 101.2, "flip_max_diff": 0.0, "peak_gb": 15.16}

pykt/xes3g5m/coldstart/pykt-dtransformer-csN256-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 200.9, "epochs": 17, "best_epoch": 7, "dev_auc_pykt": 0.7513989775467205, "n_train_users": 205, "n_train_chunks": 474, "n_dev_chunks": 116, "batch_size": 32, "seq_len": 200, "n_val_users": 51, "score_s": 83.3, "flip_max_diff": 0.0, "peak_gb": 15.19}

pykt/xes3g5m/coldstart/pykt-dtransformer-csN256-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 288.0, "epochs": 21, "best_epoch": 11, "dev_auc_pykt": 0.7088202557967682, "n_train_users": 205, "n_train_chunks": 487, "n_dev_chunks": 110, "batch_size": 16, "seq_len": 200, "n_val_users": 51, "score_s": 94.8, "flip_max_diff": 0.0, "peak_gb": 9.34}

pykt/xes3g5m/coldstart/pykt-dtransformer-csN32-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 27.3, "epochs": 18, "best_epoch": 8, "dev_auc_pykt": 0.6694248564003245, "n_train_users": 26, "n_train_chunks": 59, "n_dev_chunks": 14, "batch_size": 32, "seq_len": 200, "n_val_users": 6, "score_s": 84.5, "flip_max_diff": 0.0, "peak_gb": 15.16}

pykt/xes3g5m/coldstart/pykt-dtransformer-csN32-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 27.9, "epochs": 19, "best_epoch": 9, "dev_auc_pykt": 0.6103872721928276, "n_train_users": 26, "n_train_chunks": 60, "n_dev_chunks": 15, "batch_size": 32, "seq_len": 200, "n_val_users": 6, "score_s": 87.6, "flip_max_diff": 0.0, "peak_gb": 15.19}

pykt/xes3g5m/coldstart/pykt-dtransformer-csN32-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 30.7, "epochs": 22, "best_epoch": 12, "dev_auc_pykt": 0.6936806462140993, "n_train_users": 26, "n_train_chunks": 64, "n_dev_chunks": 16, "batch_size": 32, "seq_len": 200, "n_val_users": 6, "score_s": 69.4, "flip_max_diff": 0.0, "peak_gb": 15.14}

pykt/xes3g5m/coldstart/pykt-dtransformer-csN64-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 66.2, "epochs": 21, "best_epoch": 11, "dev_auc_pykt": 0.7163695062000147, "n_train_users": 51, "n_train_chunks": 114, "n_dev_chunks": 28, "batch_size": 32, "seq_len": 200, "n_val_users": 13, "score_s": 83.3, "flip_max_diff": 0.0, "peak_gb": 15.16}

pykt/xes3g5m/coldstart/pykt-dtransformer-csN64-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 84.8, "epochs": 28, "best_epoch": 18, "dev_auc_pykt": 0.6762871024734982, "n_train_users": 51, "n_train_chunks": 123, "n_dev_chunks": 29, "batch_size": 32, "seq_len": 200, "n_val_users": 13, "score_s": 72.5, "flip_max_diff": 0.0, "peak_gb": 15.19}

pykt/xes3g5m/coldstart/pykt-dtransformer-csN64-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 48.6, "epochs": 19, "best_epoch": 9, "dev_auc_pykt": 0.7092910860232277, "n_train_users": 51, "n_train_chunks": 125, "n_dev_chunks": 28, "batch_size": 32, "seq_len": 200, "n_val_users": 13, "score_s": 63.8, "flip_max_diff": 0.0, "peak_gb": 15.14}

pykt/xes3g5m/coldstart/pykt-dtransformer-csN8-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 6.7, "epochs": 17, "best_epoch": 7, "dev_auc_pykt": 0.6392195767195767, "n_train_users": 6, "n_train_chunks": 15, "n_dev_chunks": 4, "batch_size": 32, "seq_len": 200, "n_val_users": 2, "score_s": 84.8, "flip_max_diff": 0.0, "peak_gb": 9.36}

pykt/xes3g5m/coldstart/pykt-dtransformer-csN8-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 3.9, "epochs": 11, "best_epoch": 1, "dev_auc_pykt": 0.6041262658909717, "n_train_users": 6, "n_train_chunks": 15, "n_dev_chunks": 4, "batch_size": 32, "seq_len": 200, "n_val_users": 2, "score_s": 71.3, "flip_max_diff": 0.0, "peak_gb": 9.34}

pykt/xes3g5m/coldstart/pykt-dtransformer-csN8-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 4.0, "epochs": 14, "best_epoch": 4, "dev_auc_pykt": 0.6967391304347826, "n_train_users": 6, "n_train_chunks": 13, "n_dev_chunks": 4, "batch_size": 32, "seq_len": 200, "n_val_users": 2, "score_s": 63.5, "flip_max_diff": 0.0, "peak_gb": 9.34}

pykt/xes3g5m/coldstart/pykt-dtransformer-csNall-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 3592.3, "epochs": 24, "best_epoch": 14, "dev_auc_pykt": 0.80015721667845, "n_train_users": 2880, "n_train_chunks": 6628, "n_dev_chunks": 1671, "batch_size": 32, "seq_len": 200, "n_val_users": 720, "score_s": 84.1, "flip_max_diff": 0.0, "peak_gb": 15.14}

pykt/xes3g5m/coldstart/pykt-dtransformer-csNall-s3/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 3388.2, "epochs": 25, "best_epoch": 15, "dev_auc_pykt": 0.7962185552339851, "n_train_users": 2880, "n_train_chunks": 6659, "n_dev_chunks": 1640, "batch_size": 32, "seq_len": 200, "n_val_users": 720, "score_s": 69.2, "flip_max_diff": 0.0, "peak_gb": 15.19}

pykt/xes3g5m/coldstart/pykt-dtransformer-csNall-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 4208.1, "epochs": 22, "best_epoch": 12, "dev_auc_pykt": 0.7997538260157163, "n_train_users": 2880, "n_train_chunks": 6638, "n_dev_chunks": 1661, "batch_size": 32, "seq_len": 200, "n_val_users": 720, "score_s": 70.2, "flip_max_diff": 0.0, "peak_gb": 15.14}

pykt/xes3g5m/coldstart/pykt-dtransformer-ics1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 3249.1, "epochs": 20, "best_epoch": 10, "dev_auc_pykt": 0.7978237026999124, "n_train_users": 2880, "n_train_chunks": 5561, "n_dev_chunks": 1423, "batch_size": 32, "seq_len": 200, "n_val_users": 720, "score_s": 4.0, "flip_max_diff": 0.0, "peak_gb": 15.14}

pykt/xes3g5m/coldstart/pykt-dtransformer-ics2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 3490.4, "epochs": 20, "best_epoch": 10, "dev_auc_pykt": 0.7922054316954237, "n_train_users": 2880, "n_train_chunks": 5705, "n_dev_chunks": 1412, "batch_size": 32, "seq_len": 200, "n_val_users": 720, "score_s": 4.0, "flip_max_diff": 0.0, "peak_gb": 15.14}

pykt/xes3g5m/coldstart/pykt-extrakt-csN128-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 19.1, "epochs": 30, "best_epoch": 20, "dev_auc_pykt": 0.7127314386845903, "n_train_users": 102, "n_train_chunks": 232, "n_dev_chunks": 61, "batch_size": 256, "seq_len": 200, "n_val_users": 26, "score_s": 24.5, "flip_max_diff": 0.0, "peak_gb": 10.24}

pykt/xes3g5m/coldstart/pykt-extrakt-csN128-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 18.2, "epochs": 28, "best_epoch": 18, "dev_auc_pykt": 0.7582612379293827, "n_train_users": 102, "n_train_chunks": 239, "n_dev_chunks": 54, "batch_size": 256, "seq_len": 200, "n_val_users": 26, "score_s": 25.5, "flip_max_diff": 0.0, "peak_gb": 10.52}

pykt/xes3g5m/coldstart/pykt-extrakt-csN128-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 25.2, "epochs": 37, "best_epoch": 27, "dev_auc_pykt": 0.752106084972138, "n_train_users": 102, "n_train_chunks": 242, "n_dev_chunks": 57, "batch_size": 256, "seq_len": 200, "n_val_users": 26, "score_s": 26.2, "flip_max_diff": 0.0, "peak_gb": 10.65}

pykt/xes3g5m/coldstart/pykt-extrakt-csN128-s3/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 22.8, "epochs": 34, "best_epoch": 24, "dev_auc_pykt": 0.6711130006720882, "n_train_users": 102, "n_train_chunks": 230, "n_dev_chunks": 59, "batch_size": 256, "seq_len": 200, "n_val_users": 26, "score_s": 27.4, "flip_max_diff": 0.0, "peak_gb": 10.13}

pykt/xes3g5m/coldstart/pykt-extrakt-csN128-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 33.3, "epochs": 25, "best_epoch": 15, "dev_auc_pykt": 0.7290574986135481, "n_train_users": 102, "n_train_chunks": 244, "n_dev_chunks": 59, "batch_size": 256, "seq_len": 200, "n_val_users": 26, "score_s": 16.0, "flip_max_diff": 0.0, "peak_gb": 10.76}

pykt/xes3g5m/coldstart/pykt-extrakt-csN16-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 7.5, "epochs": 22, "best_epoch": 12, "dev_auc_pykt": 0.7674631620868181, "n_train_users": 13, "n_train_chunks": 29, "n_dev_chunks": 7, "batch_size": 256, "seq_len": 200, "n_val_users": 3, "score_s": 40.8, "flip_max_diff": 0.0, "peak_gb": 1.51}

pykt/xes3g5m/coldstart/pykt-extrakt-csN16-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 2.4, "epochs": 14, "best_epoch": 4, "dev_auc_pykt": 0.6666980082428344, "n_train_users": 13, "n_train_chunks": 29, "n_dev_chunks": 7, "batch_size": 256, "seq_len": 200, "n_val_users": 3, "score_s": 20.6, "flip_max_diff": 0.0, "peak_gb": 1.52}

pykt/xes3g5m/coldstart/pykt-extrakt-csN16-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 3.1, "epochs": 21, "best_epoch": 11, "dev_auc_pykt": 0.6961075977554111, "n_train_users": 13, "n_train_chunks": 31, "n_dev_chunks": 6, "batch_size": 256, "seq_len": 200, "n_val_users": 3, "score_s": 24.1, "flip_max_diff": 0.0, "peak_gb": 1.6}

pykt/xes3g5m/coldstart/pykt-extrakt-csN16-s3/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 3.7, "epochs": 21, "best_epoch": 11, "dev_auc_pykt": 0.6868805460750852, "n_train_users": 13, "n_train_chunks": 30, "n_dev_chunks": 6, "batch_size": 256, "seq_len": 200, "n_val_users": 3, "score_s": 22.8, "flip_max_diff": 0.0, "peak_gb": 1.56}

pykt/xes3g5m/coldstart/pykt-extrakt-csN16-s4/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 7.3, "epochs": 28, "best_epoch": 18, "dev_auc_pykt": 0.6818295387113901, "n_train_users": 13, "n_train_chunks": 29, "n_dev_chunks": 8, "batch_size": 256, "seq_len": 200, "n_val_users": 3, "score_s": 24.0, "flip_max_diff": 0.0, "peak_gb": 1.54}

pykt/xes3g5m/coldstart/pykt-extrakt-csN256-s0/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 33.7, "epochs": 27, "best_epoch": 17, "dev_auc_pykt": 0.7130372858990917, "n_train_users": 205, "n_train_chunks": 475, "n_dev_chunks": 118, "batch_size": 256, "seq_len": 200, "n_val_users": 51, "score_s": 27.0, "flip_max_diff": 0.0, "peak_gb": 11.25}

pykt/xes3g5m/coldstart/pykt-extrakt-csN256-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 28.8, "epochs": 26, "best_epoch": 16, "dev_auc_pykt": 0.7331656151209907, "n_train_users": 205, "n_train_chunks": 466, "n_dev_chunks": 121, "batch_size": 256, "seq_len": 200, "n_val_users": 51, "score_s": 27.3, "flip_max_diff": 0.0, "peak_gb": 11.27}

pykt/xes3g5m/coldstart/pykt-extrakt-csN256-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 32.6, "epochs": 29, "best_epoch": 19, "dev_auc_pykt": 0.7534313249941531, "n_train_users": 205, "n_train_chunks": 474, "n_dev_chunks": 116, "batch_size": 256, "seq_len": 200, "n_val_users": 51, "score_s": 28.8, "flip_max_diff": 0.0, "peak_gb": 11.25}

pykt/xes3g5m/coldstart/pykt-extrakt-csN256-s3/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 31.6, "epochs": 27, "best_epoch": 17, "dev_auc_pykt": 0.732156647677546, "n_train_users": 205, "n_train_chunks": 462, "n_dev_chunks": 118, "batch_size": 256, "seq_len": 200, "n_val_users": 51, "score_s": 25.5, "flip_max_diff": 0.0, "peak_gb": 11.28}