pod backup 2026-11-07: pykt (0-400)

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

@@ -0,0 +1 @@
+{"train_s": 271.8, "epochs": 52, "best_epoch": 42, "dev_auc_pykt": 0.8009902759152567, "n_train_users": 102, "n_train_chunks": 862, "n_dev_chunks": 208, "batch_size": 64, "seq_len": 200, "n_val_users": 26, "score_s": 16.4, "flip_max_diff": 0.0, "peak_gb": 9.12}

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

@@ -0,0 +1 @@
+{"train_s": 240.4, "epochs": 41, "best_epoch": 31, "dev_auc_pykt": 0.7844782981621183, "n_train_users": 102, "n_train_chunks": 993, "n_dev_chunks": 171, "batch_size": 64, "seq_len": 200, "n_val_users": 26, "score_s": 19.3, "flip_max_diff": 0.0, "peak_gb": 9.12}

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

@@ -0,0 +1 @@
+{"train_s": 226.9, "epochs": 47, "best_epoch": 37, "dev_auc_pykt": 0.8176373978808094, "n_train_users": 102, "n_train_chunks": 875, "n_dev_chunks": 252, "batch_size": 64, "seq_len": 200, "n_val_users": 26, "score_s": 15.9, "flip_max_diff": 0.0, "peak_gb": 9.12}

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

@@ -0,0 +1 @@
+{"train_s": 276.6, "epochs": 43, "best_epoch": 33, "dev_auc_pykt": 0.7948803439658768, "n_train_users": 102, "n_train_chunks": 965, "n_dev_chunks": 185, "batch_size": 64, "seq_len": 200, "n_val_users": 26, "score_s": 19.9, "flip_max_diff": 0.0, "peak_gb": 9.12}

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

@@ -0,0 +1 @@
+{"train_s": 206.9, "epochs": 41, "best_epoch": 31, "dev_auc_pykt": 0.7982435677362043, "n_train_users": 102, "n_train_chunks": 971, "n_dev_chunks": 222, "batch_size": 64, "seq_len": 200, "n_val_users": 26, "score_s": 9.4, "flip_max_diff": 0.0, "peak_gb": 9.12}

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

@@ -0,0 +1 @@
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pykt/algebra2005/coldstart/pykt-akt-csN16-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 26.2, "epochs": 35, "best_epoch": 25, "dev_auc_pykt": 0.7660269870228219, "n_train_users": 13, "n_train_chunks": 120, "n_dev_chunks": 14, "batch_size": 64, "seq_len": 200, "n_val_users": 3, "score_s": 16.2, "flip_max_diff": 0.0, "peak_gb": 9.12}

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

@@ -0,0 +1 @@
+{"train_s": 10.2, "epochs": 17, "best_epoch": 7, "dev_auc_pykt": 0.6674429197365732, "n_train_users": 13, "n_train_chunks": 104, "n_dev_chunks": 32, "batch_size": 64, "seq_len": 200, "n_val_users": 3, "score_s": 16.0, "flip_max_diff": 0.0, "peak_gb": 9.12}

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

@@ -0,0 +1 @@
+{"train_s": 53.8, "epochs": 84, "best_epoch": 74, "dev_auc_pykt": 0.7293954023857844, "n_train_users": 13, "n_train_chunks": 99, "n_dev_chunks": 19, "batch_size": 64, "seq_len": 200, "n_val_users": 3, "score_s": 16.3, "flip_max_diff": 0.0, "peak_gb": 9.12}

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

@@ -0,0 +1 @@
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pykt/algebra2005/coldstart/pykt-akt-csN256-s0/train_info.json.done

@@ -0,0 +1 @@
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pykt/algebra2005/coldstart/pykt-akt-csN256-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 373.8, "epochs": 33, "best_epoch": 23, "dev_auc_pykt": 0.8099992074014961, "n_train_users": 205, "n_train_chunks": 1841, "n_dev_chunks": 446, "batch_size": 64, "seq_len": 200, "n_val_users": 51, "score_s": 15.6, "flip_max_diff": 0.0, "peak_gb": 9.12}

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

@@ -0,0 +1 @@
+{"train_s": 415.9, "epochs": 36, "best_epoch": 26, "dev_auc_pykt": 0.8273359388089448, "n_train_users": 205, "n_train_chunks": 1802, "n_dev_chunks": 362, "batch_size": 64, "seq_len": 200, "n_val_users": 51, "score_s": 21.2, "flip_max_diff": 0.0, "peak_gb": 9.12}

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

@@ -0,0 +1 @@
+{"train_s": 337.2, "epochs": 33, "best_epoch": 23, "dev_auc_pykt": 0.8159316411342271, "n_train_users": 205, "n_train_chunks": 1935, "n_dev_chunks": 319, "batch_size": 64, "seq_len": 200, "n_val_users": 51, "score_s": 21.2, "flip_max_diff": 0.0, "peak_gb": 9.12}

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

@@ -0,0 +1 @@
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pykt/algebra2005/coldstart/pykt-akt-csN32-s0/train_info.json.done

@@ -0,0 +1 @@
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pykt/algebra2005/coldstart/pykt-akt-csN32-s1/train_info.json.done

@@ -0,0 +1 @@
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pykt/algebra2005/coldstart/pykt-akt-csN32-s2/train_info.json.done

@@ -0,0 +1 @@
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pykt/algebra2005/coldstart/pykt-akt-csN32-s3/train_info.json.done

@@ -0,0 +1 @@
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pykt/algebra2005/coldstart/pykt-akt-csN32-s4/train_info.json.done

@@ -0,0 +1 @@
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pykt/algebra2005/coldstart/pykt-akt-csN64-s0/train_info.json.done

@@ -0,0 +1 @@
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pykt/algebra2005/coldstart/pykt-akt-csN64-s1/train_info.json.done

@@ -0,0 +1 @@
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pykt/algebra2005/coldstart/pykt-akt-csN64-s2/train_info.json.done

@@ -0,0 +1 @@
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pykt/algebra2005/coldstart/pykt-akt-csN64-s3/train_info.json.done

@@ -0,0 +1 @@
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pykt/algebra2005/coldstart/pykt-akt-csN64-s4/train_info.json.done

@@ -0,0 +1 @@
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pykt/algebra2005/coldstart/pykt-akt-csN8-s0/train_info.json.done

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

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+{"train_s": 17.0, "epochs": 31, "best_epoch": 21, "dev_auc_pykt": 0.6930108324677251, "n_train_users": 6, "n_train_chunks": 90, "n_dev_chunks": 4, "batch_size": 64, "seq_len": 200, "n_val_users": 2, "score_s": 16.3, "flip_max_diff": 0.0, "peak_gb": 9.12}

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

@@ -0,0 +1 @@
+{"train_s": 8.7, "epochs": 27, "best_epoch": 17, "dev_auc_pykt": 0.6927196744748707, "n_train_users": 6, "n_train_chunks": 22, "n_dev_chunks": 13, "batch_size": 64, "seq_len": 200, "n_val_users": 2, "score_s": 13.4, "flip_max_diff": 0.0, "peak_gb": 3.19}

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

@@ -0,0 +1 @@
+{"train_s": 10.2, "epochs": 26, "best_epoch": 16, "dev_auc_pykt": 0.6716996361400092, "n_train_users": 6, "n_train_chunks": 28, "n_dev_chunks": 50, "batch_size": 64, "seq_len": 200, "n_val_users": 2, "score_s": 15.1, "flip_max_diff": 0.0, "peak_gb": 4.05}

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

@@ -0,0 +1 @@
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pykt/algebra2005/coldstart/pykt-akt-csNall-s0/train_info.json.done

@@ -0,0 +1 @@
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pykt/algebra2005/coldstart/pykt-akt-csNall-s1/train_info.json.done

@@ -0,0 +1 @@
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pykt/algebra2005/coldstart/pykt-akt-csNall-s2/train_info.json.done

@@ -0,0 +1 @@
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pykt/algebra2005/coldstart/pykt-akt-csNall-s3/train_info.json.done

@@ -0,0 +1 @@
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pykt/algebra2005/coldstart/pykt-akt-csNall-s4/train_info.json.done

@@ -0,0 +1 @@
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pykt/algebra2005/coldstart/pykt-akt-ics0/train_info.json.done

@@ -0,0 +1 @@
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pykt/algebra2005/coldstart/pykt-atdkt-csN128-s0/train_info.json.done

@@ -0,0 +1 @@
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pykt/algebra2005/coldstart/pykt-atdkt-csN128-s1/train_info.json.done

@@ -0,0 +1 @@
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pykt/algebra2005/coldstart/pykt-atdkt-csN128-s2/train_info.json.done

@@ -0,0 +1 @@
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pykt/algebra2005/coldstart/pykt-atdkt-csN128-s3/train_info.json.done

@@ -0,0 +1 @@
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pykt/algebra2005/coldstart/pykt-atdkt-csN128-s4/train_info.json.done

@@ -0,0 +1 @@
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pykt/algebra2005/coldstart/pykt-atdkt-csN16-s0/train_info.json.done

@@ -0,0 +1 @@
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pykt/algebra2005/coldstart/pykt-atdkt-csN16-s1/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 3.0, "epochs": 37, "best_epoch": 27, "dev_auc_pykt": 0.7992822966507177, "n_train_users": 13, "n_train_chunks": 120, "n_dev_chunks": 14, "batch_size": 256, "seq_len": 200, "n_val_users": 3, "score_s": 1.8, "flip_max_diff": 0.0, "peak_gb": 0.57}

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

@@ -0,0 +1 @@
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pykt/algebra2005/coldstart/pykt-atdkt-csN16-s3/train_info.json.done

@@ -0,0 +1 @@
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pykt/algebra2005/coldstart/pykt-atdkt-csN16-s4/train_info.json.done

@@ -0,0 +1 @@
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pykt/algebra2005/coldstart/pykt-atdkt-csN256-s0/train_info.json.done

@@ -0,0 +1 @@
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pykt/algebra2005/coldstart/pykt-atdkt-csN256-s1/train_info.json.done

@@ -0,0 +1 @@
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pykt/algebra2005/coldstart/pykt-atdkt-csN256-s2/train_info.json.done

@@ -0,0 +1 @@
+{"train_s": 17.1, "epochs": 29, "best_epoch": 19, "dev_auc_pykt": 0.8057368136469664, "n_train_users": 205, "n_train_chunks": 1802, "n_dev_chunks": 362, "batch_size": 256, "seq_len": 200, "n_val_users": 51, "score_s": 1.6, "flip_max_diff": 0.0, "peak_gb": 1.07}

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

@@ -0,0 +1 @@
+{"train_s": 18.2, "epochs": 34, "best_epoch": 24, "dev_auc_pykt": 0.8160026439901369, "n_train_users": 205, "n_train_chunks": 1935, "n_dev_chunks": 319, "batch_size": 256, "seq_len": 200, "n_val_users": 51, "score_s": 1.5, "flip_max_diff": 0.0, "peak_gb": 1.07}