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diff --git a/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_11.json b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_11.json
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diff --git a/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_12.json b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_12.json
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diff --git a/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_13.json b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_13.json
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diff --git a/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_14.json b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_14.json
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diff --git a/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_15.json b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_15.json
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diff --git a/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_16.json b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_16.json
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diff --git a/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_17.json b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_17.json
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diff --git a/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_18.json b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_18.json
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diff --git a/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_19.json b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_19.json
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diff --git a/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_2.json b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_2.json
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diff --git a/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_20.json b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_20.json
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diff --git a/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_21.json b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_21.json
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\ No newline at end of file
diff --git a/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_22.json b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_22.json
new file mode 100644
index 0000000000000000000000000000000000000000..3ea3b0365cfec06f6c3f123108acfa7d09e449e6
--- /dev/null
+++ b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_22.json
@@ -0,0 +1 @@
+{"train": {"Regression_pt": 0.08261095429753372, "Regression_eta": 8.237398897013414e-05, "Regression_sin_phi": 6.739566137175536e-05, "Regression_cos_phi": 6.752459637029175e-05, "Regression_energy": 0.08279389096753795, "Classification_binary": 1.6358139228499158, "Classification": 0.011254135569271712, "MET": 3.410985455311973, "Sliced_Wasserstein_Loss": 31.72381745362563, "Total": 1.8126914260118043}, "valid": {"Regression_pt": 0.0887449826949682, "Regression_eta": 8.129332071313492e-05, "Regression_sin_phi": 6.963286954814043e-05, "Regression_cos_phi": 7.114816719713884e-05, "Regression_energy": 0.08882347131386781, "Classification_binary": 1.6648696508163061, "Classification": 0.011284158780024601, "MET": 3.455170460236378, "Sliced_Wasserstein_Loss": 31.557103866185898, "Total": 1.8539440448467548}, "epoch_train_time": 25317.378588438034, "epoch_valid_time": 15.381145000457764, "epoch_total_time": 25332.759741067886}
\ No newline at end of file
diff --git a/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_23.json b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_23.json
new file mode 100644
index 0000000000000000000000000000000000000000..4c79f6d27d38f59c8aaecaefc7e52ee455107e0c
--- /dev/null
+++ b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_23.json
@@ -0,0 +1 @@
+{"train": {"Regression_pt": 0.08187247213585581, "Regression_eta": 8.209861350099714e-05, "Regression_sin_phi": 6.717336921627565e-05, "Regression_cos_phi": 6.72698503400986e-05, "Regression_energy": 0.08206890447143761, "Classification_binary": 1.6276380691399663, "Classification": 0.011176656944956788, "MET": 3.3938029616357506, "Sliced_Wasserstein_Loss": 31.609177908937607, "Total": 1.802966642074199}, "valid": {"Regression_pt": 0.08800343366769645, "Regression_eta": 8.026776739802116e-05, "Regression_sin_phi": 6.856714399197162e-05, "Regression_cos_phi": 7.072346619306467e-05, "Regression_energy": 0.08792273203531902, "Classification_binary": 1.6597157013721955, "Classification": 0.011242318611878615, "MET": 3.423881335136218, "Sliced_Wasserstein_Loss": 32.09608185596955, "Total": 1.8471038035857372}, "epoch_train_time": 25322.264999628067, "epoch_valid_time": 17.00823187828064, "epoch_total_time": 25339.27324438095}
\ No newline at end of file
diff --git a/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_24.json b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_24.json
new file mode 100644
index 0000000000000000000000000000000000000000..ae5e54dd5a3bb4bf6fdb1e3e1af7ab81ae78d2dd
--- /dev/null
+++ b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_24.json
@@ -0,0 +1 @@
+{"train": {"Regression_pt": 0.08110854665103288, "Regression_eta": 8.181542208383699e-05, "Regression_sin_phi": 6.691013982685983e-05, "Regression_cos_phi": 6.70111722125975e-05, "Regression_energy": 0.08131995678752107, "Classification_binary": 1.619857978499157, "Classification": 0.011104898951306914, "MET": 3.3876204152613827, "Sliced_Wasserstein_Loss": 31.506505059021922, "Total": 1.7936215482715008}, "valid": {"Regression_pt": 0.08869171753907815, "Regression_eta": 8.000495533148448e-05, "Regression_sin_phi": 6.860271932031863e-05, "Regression_cos_phi": 6.974028208507941e-05, "Regression_energy": 0.08856000655736679, "Classification_binary": 1.6577927026993189, "Classification": 0.011130936634846223, "MET": 3.3949827536558495, "Sliced_Wasserstein_Loss": 31.899132361778847, "Total": 1.8463936830178285}, "epoch_train_time": 25332.04486632347, "epoch_valid_time": 15.710119724273682, "epoch_total_time": 25347.755002260208}
\ No newline at end of file
diff --git a/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_25.json b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_25.json
new file mode 100644
index 0000000000000000000000000000000000000000..8a2c2fb373c461d18b0b306139af56b5771e6384
--- /dev/null
+++ b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_25.json
@@ -0,0 +1 @@
+{"train": {"Regression_pt": 0.08034128636172007, "Regression_eta": 8.156519917171278e-05, "Regression_sin_phi": 6.661347152812887e-05, "Regression_cos_phi": 6.669710699663596e-05, "Regression_energy": 0.08054983103657251, "Classification_binary": 1.6126661309021924, "Classification": 0.011035513403443824, "MET": 3.3764571037099493, "Sliced_Wasserstein_Loss": 31.401389123102867, "Total": 1.7848005375210794}, "valid": {"Regression_pt": 0.0871427059173584, "Regression_eta": 8.099942874067869e-05, "Regression_sin_phi": 6.832617024580638e-05, "Regression_cos_phi": 6.96052821018757e-05, "Regression_energy": 0.08685816862644294, "Classification_binary": 1.6478228446764824, "Classification": 0.01108588851415194, "MET": 3.418066171499399, "Sliced_Wasserstein_Loss": 31.652227939703526, "Total": 1.8331283178084936}, "epoch_train_time": 25328.837079763412, "epoch_valid_time": 15.504273891448975, "epoch_total_time": 25344.341367721558}
\ No newline at end of file
diff --git a/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_26.json b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_26.json
new file mode 100644
index 0000000000000000000000000000000000000000..7128fc55fabe22d49667ab2345ab4975a25aabee
--- /dev/null
+++ b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_26.json
@@ -0,0 +1 @@
+{"train": {"Regression_pt": 0.07951112589586846, "Regression_eta": 8.123072966757351e-05, "Regression_sin_phi": 6.632829395956777e-05, "Regression_cos_phi": 6.64208831915767e-05, "Regression_energy": 0.07971185642390388, "Classification_binary": 1.605796005480607, "Classification": 0.010969013902429384, "MET": 3.3621158305227654, "Sliced_Wasserstein_Loss": 31.298368465430016, "Total": 1.7762103446458684}, "valid": {"Regression_pt": 0.08753444598271297, "Regression_eta": 8.122934004626214e-05, "Regression_sin_phi": 6.849066211053959e-05, "Regression_cos_phi": 7.004198283912279e-05, "Regression_energy": 0.087265901076488, "Classification_binary": 1.6462232149564302, "Classification": 0.011076600887836555, "MET": 3.46114994929387, "Sliced_Wasserstein_Loss": 31.327088967347755, "Total": 1.8323197976136818}, "epoch_train_time": 25410.511421203613, "epoch_valid_time": 15.487971067428589, "epoch_total_time": 25425.999415159225}
\ No newline at end of file
diff --git a/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_27.json b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_27.json
new file mode 100644
index 0000000000000000000000000000000000000000..a5462e46c7089b00c2ae46485d426db0db078d4f
--- /dev/null
+++ b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_27.json
@@ -0,0 +1 @@
+{"train": {"Regression_pt": 0.07873202499209528, "Regression_eta": 8.087407477187467e-05, "Regression_sin_phi": 6.605862767057113e-05, "Regression_cos_phi": 6.614803664800892e-05, "Regression_energy": 0.0789382147185919, "Classification_binary": 1.5991474757588533, "Classification": 0.010908313255889018, "MET": 3.372989565767285, "Sliced_Wasserstein_Loss": 31.19829258010118, "Total": 1.7679396342748734}, "valid": {"Regression_pt": 0.08714194786854279, "Regression_eta": 7.994286118982694e-05, "Regression_sin_phi": 6.807763845874713e-05, "Regression_cos_phi": 6.928594591907966e-05, "Regression_energy": 0.08725333213806152, "Classification_binary": 1.6445492475460737, "Classification": 0.010939569045335818, "MET": 3.345864711663662, "Sliced_Wasserstein_Loss": 31.409242287660255, "Total": 1.830101795685597}, "epoch_train_time": 25308.690290927887, "epoch_valid_time": 15.496721744537354, "epoch_total_time": 25324.18702673912}
\ No newline at end of file
diff --git a/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_28.json b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_28.json
new file mode 100644
index 0000000000000000000000000000000000000000..e190af85c9621b51ff1f62068df5e2ab42972630
--- /dev/null
+++ b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_28.json
@@ -0,0 +1 @@
+{"train": {"Regression_pt": 0.07800637153509696, "Regression_eta": 8.059259610875663e-05, "Regression_sin_phi": 6.583221043141255e-05, "Regression_cos_phi": 6.590491000556625e-05, "Regression_energy": 0.07822140466905565, "Classification_binary": 1.5929398977655986, "Classification": 0.010853761412442032, "MET": 3.3396661572512647, "Sliced_Wasserstein_Loss": 31.099879848229342, "Total": 1.760228051222597}, "valid": {"Regression_pt": 0.08607570330301921, "Regression_eta": 7.901935933683164e-05, "Regression_sin_phi": 6.77033721540983e-05, "Regression_cos_phi": 6.920052692294121e-05, "Regression_energy": 0.08604593154711601, "Classification_binary": 1.6420970818935297, "Classification": 0.0109861691792806, "MET": 3.4459075927734375, "Sliced_Wasserstein_Loss": 31.50068860176282, "Total": 1.8254204774514222}, "epoch_train_time": 25367.4074010849, "epoch_valid_time": 15.861040115356445, "epoch_total_time": 25383.26845574379}
\ No newline at end of file
diff --git a/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_29.json b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_29.json
new file mode 100644
index 0000000000000000000000000000000000000000..d6dd28c7c2a43637f7e25157bcea97f759b3b41f
--- /dev/null
+++ b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_29.json
@@ -0,0 +1 @@
+{"train": {"Regression_pt": 0.07729859427698145, "Regression_eta": 8.029464927531816e-05, "Regression_sin_phi": 6.553148941889179e-05, "Regression_cos_phi": 6.564175700658891e-05, "Regression_energy": 0.07752508102339797, "Classification_binary": 1.5869446932967959, "Classification": 0.010801210451688975, "MET": 3.337249947301855, "Sliced_Wasserstein_Loss": 31.00171163575042, "Total": 1.752772976391231}, "valid": {"Regression_pt": 0.08664320065424992, "Regression_eta": 7.957458281173155e-05, "Regression_sin_phi": 6.784291531986151e-05, "Regression_cos_phi": 6.932920465866725e-05, "Regression_energy": 0.08647672946636493, "Classification_binary": 1.6372506557366786, "Classification": 0.010901859173407922, "MET": 3.4638531024639425, "Sliced_Wasserstein_Loss": 31.64110389122596, "Total": 1.8214891873873198}, "epoch_train_time": 25381.74699807167, "epoch_valid_time": 15.184138536453247, "epoch_total_time": 25396.93114876747}
\ No newline at end of file
diff --git a/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_3.json b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_3.json
new file mode 100644
index 0000000000000000000000000000000000000000..66e1359b35f29c02c7be5495996998bfe7610a56
--- /dev/null
+++ b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_3.json
@@ -0,0 +1 @@
+{"train": {"Regression_pt": 0.11914759927013069, "Regression_eta": 9.956702414089672e-05, "Regression_sin_phi": 8.671513697349201e-05, "Regression_cos_phi": 8.693728036864411e-05, "Regression_energy": 0.11852070543054384, "Classification_binary": 2.182312658094435, "Classification": 0.01705549423449357, "MET": 4.573571880269815, "Sliced_Wasserstein_Loss": 37.736998313659356, "Total": 2.43731239460371}, "valid": {"Regression_pt": 0.11438425993308043, "Regression_eta": 9.844419904626333e-05, "Regression_sin_phi": 8.5554527453123e-05, "Regression_cos_phi": 8.784914508652993e-05, "Regression_energy": 0.11363898790799655, "Classification_binary": 2.1309012388571715, "Classification": 0.01658134277050312, "MET": 4.229544223883213, "Sliced_Wasserstein_Loss": 36.70032364282853, "Total": 2.375777611365685}, "epoch_train_time": 32871.051105976105, "epoch_valid_time": 15.257654666900635, "epoch_total_time": 32886.30877280235}
\ No newline at end of file
diff --git a/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_30.json b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_30.json
new file mode 100644
index 0000000000000000000000000000000000000000..3e8c6947db50e19a4635ef4db14abf0275b9fd13
--- /dev/null
+++ b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_30.json
@@ -0,0 +1 @@
+{"train": {"Regression_pt": 0.07667328138174537, "Regression_eta": 7.998468904028856e-05, "Regression_sin_phi": 6.53120277301859e-05, "Regression_cos_phi": 6.540318564661036e-05, "Regression_energy": 0.07691343670952783, "Classification_binary": 1.5811631798060708, "Classification": 0.010750700514795004, "MET": 3.3365364144182124, "Sliced_Wasserstein_Loss": 30.92529089376054, "Total": 1.7457135328836424}, "valid": {"Regression_pt": 0.08613796723194611, "Regression_eta": 7.954238054270927e-05, "Regression_sin_phi": 6.752154933145412e-05, "Regression_cos_phi": 6.948012667588699e-05, "Regression_energy": 0.08592543235191932, "Classification_binary": 1.6312042627579126, "Classification": 0.010763081220480112, "MET": 3.468505076872997, "Sliced_Wasserstein_Loss": 31.15729229266827, "Total": 1.8142473269731572}, "epoch_train_time": 25338.964831352234, "epoch_valid_time": 16.479251861572266, "epoch_total_time": 25355.444095611572}
\ No newline at end of file
diff --git a/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_31.json b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_31.json
new file mode 100644
index 0000000000000000000000000000000000000000..b9f6844cfe0a6f1efad674166ac4ee470a56d3a1
--- /dev/null
+++ b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_31.json
@@ -0,0 +1 @@
+{"train": {"Regression_pt": 0.0760232168265177, "Regression_eta": 7.967599929886765e-05, "Regression_sin_phi": 6.504692476475219e-05, "Regression_cos_phi": 6.51177427217892e-05, "Regression_energy": 0.07628046611509275, "Classification_binary": 1.5755401559865092, "Classification": 0.01070519793093908, "MET": 3.3486024451939294, "Sliced_Wasserstein_Loss": 30.834673271500844, "Total": 1.738741304806071}, "valid": {"Regression_pt": 0.08581980069478352, "Regression_eta": 8.063367567956448e-05, "Regression_sin_phi": 6.734109364258937e-05, "Regression_cos_phi": 6.908406981099874e-05, "Regression_energy": 0.0856330211345966, "Classification_binary": 1.6359500395946014, "Classification": 0.010813080347501315, "MET": 3.3689238719451122, "Sliced_Wasserstein_Loss": 31.384249173677883, "Total": 1.818433125813802}, "epoch_train_time": 25378.886941432953, "epoch_valid_time": 15.664180278778076, "epoch_total_time": 25394.55114030838}
\ No newline at end of file
diff --git a/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_32.json b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_32.json
new file mode 100644
index 0000000000000000000000000000000000000000..4cd691275cb8adf7e4d0ab9ac89e8e704141d8d4
--- /dev/null
+++ b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_32.json
@@ -0,0 +1 @@
+{"train": {"Regression_pt": 0.07542009479078836, "Regression_eta": 7.946629548354253e-05, "Regression_sin_phi": 6.484463886306017e-05, "Regression_cos_phi": 6.492348987778766e-05, "Regression_energy": 0.07569424042211215, "Classification_binary": 1.5702221226812816, "Classification": 0.010664249825437394, "MET": 3.313216694772344, "Sliced_Wasserstein_Loss": 30.755739881956156, "Total": 1.7322121363827994}, "valid": {"Regression_pt": 0.08617066725706443, "Regression_eta": 7.981961019910299e-05, "Regression_sin_phi": 6.743669748688355e-05, "Regression_cos_phi": 6.868644880178648e-05, "Regression_energy": 0.08597159385681152, "Classification_binary": 1.6257901313977363, "Classification": 0.010829907961380787, "MET": 3.398237570738181, "Sliced_Wasserstein_Loss": 31.409943409455128, "Total": 1.8089789366110778}, "epoch_train_time": 25443.690227270126, "epoch_valid_time": 15.90454363822937, "epoch_total_time": 25459.5947971344}
\ No newline at end of file
diff --git a/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_33.json b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_33.json
new file mode 100644
index 0000000000000000000000000000000000000000..5ee3a66e41710012fe9dcdbf5d7c159f58bd6607
--- /dev/null
+++ b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_33.json
@@ -0,0 +1 @@
+{"train": {"Regression_pt": 0.07482245665577572, "Regression_eta": 7.920212930611777e-05, "Regression_sin_phi": 6.464840790875645e-05, "Regression_cos_phi": 6.474574540960045e-05, "Regression_energy": 0.07511456082683389, "Classification_binary": 1.5648023819561552, "Classification": 0.010621775326399135, "MET": 3.3058489671163573, "Sliced_Wasserstein_Loss": 30.670185497470488, "Total": 1.7255725653457}, "valid": {"Regression_pt": 0.08622260582752717, "Regression_eta": 8.018510654950753e-05, "Regression_sin_phi": 6.730280792674958e-05, "Regression_cos_phi": 6.865075407310938e-05, "Regression_energy": 0.08603115570850861, "Classification_binary": 1.6220173958020332, "Classification": 0.010685778581179105, "MET": 3.3296266213441505, "Sliced_Wasserstein_Loss": 31.319210737179485, "Total": 1.805172846867488}, "epoch_train_time": 25386.468634843826, "epoch_valid_time": 15.467100858688354, "epoch_total_time": 25401.935751914978}
\ No newline at end of file
diff --git a/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_34.json b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_34.json
new file mode 100644
index 0000000000000000000000000000000000000000..e3ee78fa86b6f857d41c871c9c31a45d1a04c4a5
--- /dev/null
+++ b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_34.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_35.json b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_35.json
new file mode 100644
index 0000000000000000000000000000000000000000..3d65657bcc533eacefd61b51aa722a6b2c2f6376
--- /dev/null
+++ b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_35.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_36.json b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_36.json
new file mode 100644
index 0000000000000000000000000000000000000000..c95caf06c52ee276a08ef5b2226a342d8532a08d
--- /dev/null
+++ b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_36.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_37.json b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_37.json
new file mode 100644
index 0000000000000000000000000000000000000000..06cf9e7e528904b4f06fdcf2efc4cbeb411a43aa
--- /dev/null
+++ b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_37.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_38.json b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_38.json
new file mode 100644
index 0000000000000000000000000000000000000000..4e67c90f09ee1d685eee87be43a3a33bce721c53
--- /dev/null
+++ b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_38.json
@@ -0,0 +1 @@
+{"train": {"Regression_pt": 0.07192035334106239, "Regression_eta": 7.801802122170768e-05, "Regression_sin_phi": 6.366964134357832e-05, "Regression_cos_phi": 6.376280551415069e-05, "Regression_energy": 0.0723036747075253, "Classification_binary": 1.5376675801011805, "Classification": 0.010416844385671375, "MET": 3.284946247892074, "Sliced_Wasserstein_Loss": 30.252301854974704, "Total": 1.6925086951939292}, "valid": {"Regression_pt": 0.08618578544029823, "Regression_eta": 7.903324559521981e-05, "Regression_sin_phi": 6.635980799985238e-05, "Regression_cos_phi": 6.825344350475531e-05, "Regression_energy": 0.08604891483600323, "Classification_binary": 1.6066700862004206, "Classification": 0.010575386194082407, "MET": 3.3727362217047276, "Sliced_Wasserstein_Loss": 30.653041741786858, "Total": 1.7896939791165865}, "epoch_train_time": 25259.22463607788, "epoch_valid_time": 14.985697507858276, "epoch_total_time": 25274.21035528183}
\ No newline at end of file
diff --git a/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_39.json b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_39.json
new file mode 100644
index 0000000000000000000000000000000000000000..be3d5fdc68278a5e409a697bad13adb9a0627dda
--- /dev/null
+++ b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_39.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_4.json b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_4.json
new file mode 100644
index 0000000000000000000000000000000000000000..915ce87e45eee66e018155df4cc284d39480c4e5
--- /dev/null
+++ b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_4.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_40.json b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_40.json
new file mode 100644
index 0000000000000000000000000000000000000000..11622abf8297bce69dabe9a1e717d74702610b3e
--- /dev/null
+++ b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_40.json
@@ -0,0 +1 @@
+{"train": {"Regression_pt": 0.0707640572301855, "Regression_eta": 7.753259616999763e-05, "Regression_sin_phi": 6.329025828215163e-05, "Regression_cos_phi": 6.337560650470084e-05, "Regression_energy": 0.07118735508010118, "Classification_binary": 1.5272806439713322, "Classification": 0.010339657042118993, "MET": 3.281236825463744, "Sliced_Wasserstein_Loss": 30.086068718381114, "Total": 1.6797724757588532}, "valid": {"Regression_pt": 0.08621589954082783, "Regression_eta": 7.970117701169771e-05, "Regression_sin_phi": 6.620181151307546e-05, "Regression_cos_phi": 6.790761835873127e-05, "Regression_energy": 0.08608290476676746, "Classification_binary": 1.603037614088792, "Classification": 0.010507910679548215, "MET": 3.405813755133213, "Sliced_Wasserstein_Loss": 30.882130158253204, "Total": 1.7860582791841948}, "epoch_train_time": 25348.931288957596, "epoch_valid_time": 16.07982873916626, "epoch_total_time": 25365.011129379272}
\ No newline at end of file
diff --git a/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_41.json b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_41.json
new file mode 100644
index 0000000000000000000000000000000000000000..f2fa991e8a0b15c301b4fa6d6ca992bddc49e359
--- /dev/null
+++ b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_41.json
@@ -0,0 +1 @@
+{"train": {"Regression_pt": 0.07020595917211214, "Regression_eta": 7.729670249591589e-05, "Regression_sin_phi": 6.316568557970841e-05, "Regression_cos_phi": 6.323199248032465e-05, "Regression_energy": 0.07064793192717117, "Classification_binary": 1.5222353235666104, "Classification": 0.010305703791960897, "MET": 3.2925405775716694, "Sliced_Wasserstein_Loss": 29.999114671163575, "Total": 1.6735818929173694}, "valid": {"Regression_pt": 0.08675932272886619, "Regression_eta": 7.851256463581171e-05, "Regression_sin_phi": 6.693239825276229e-05, "Regression_cos_phi": 6.811065862003046e-05, "Regression_energy": 0.08684342946761693, "Classification_binary": 1.6098989829038963, "Classification": 0.010509293812971849, "MET": 3.44894291804387, "Sliced_Wasserstein_Loss": 30.815614357972755, "Total": 1.7942242744641426}, "epoch_train_time": 25270.528970718384, "epoch_valid_time": 15.69401216506958, "epoch_total_time": 25286.222990989685}
\ No newline at end of file
diff --git a/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_42.json b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_42.json
new file mode 100644
index 0000000000000000000000000000000000000000..b7006dcf2f6e6728db8264a119f3750a75c4ea1d
--- /dev/null
+++ b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_42.json
@@ -0,0 +1 @@
+{"train": {"Regression_pt": 0.06963965173113407, "Regression_eta": 7.713110410744986e-05, "Regression_sin_phi": 6.298469250761036e-05, "Regression_cos_phi": 6.305323081314061e-05, "Regression_energy": 0.07009936893971332, "Classification_binary": 1.5175375474283306, "Classification": 0.010274590271922429, "MET": 3.27106239460371, "Sliced_Wasserstein_Loss": 29.92830944350759, "Total": 1.6677517653878584}, "valid": {"Regression_pt": 0.08560586586976662, "Regression_eta": 7.857280807235302e-05, "Regression_sin_phi": 6.655508126967993e-05, "Regression_cos_phi": 6.823417229148057e-05, "Regression_energy": 0.08565899653312488, "Classification_binary": 1.6007036062387319, "Classification": 0.01046658020753127, "MET": 3.4220851017878604, "Sliced_Wasserstein_Loss": 30.813752003205128, "Total": 1.7826485267052283}, "epoch_train_time": 25332.688858509064, "epoch_valid_time": 15.774492263793945, "epoch_total_time": 25348.46336054802}
\ No newline at end of file
diff --git a/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_43.json b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_43.json
new file mode 100644
index 0000000000000000000000000000000000000000..e1322e84455db10cb5098c38f4dc3ce55f8146c9
--- /dev/null
+++ b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_43.json
@@ -0,0 +1 @@
+{"train": {"Regression_pt": 0.06907150397212268, "Regression_eta": 7.685152314364609e-05, "Regression_sin_phi": 6.27774171041196e-05, "Regression_cos_phi": 6.2843450607377e-05, "Regression_energy": 0.06954814634274874, "Classification_binary": 1.512824884064081, "Classification": 0.010245254285017918, "MET": 3.2737613301011805, "Sliced_Wasserstein_Loss": 29.8522913153457, "Total": 1.661905169688027}, "valid": {"Regression_pt": 0.08691790776375012, "Regression_eta": 7.925395113535416e-05, "Regression_sin_phi": 6.695817678402632e-05, "Regression_cos_phi": 6.764095563154954e-05, "Regression_energy": 0.08693322157248473, "Classification_binary": 1.6054518283941808, "Classification": 0.0104123178200844, "MET": 3.403040959284856, "Sliced_Wasserstein_Loss": 30.79100310496795, "Total": 1.7899291209685497}, "epoch_train_time": 25329.863132238388, "epoch_valid_time": 15.00354290008545, "epoch_total_time": 25344.866691589355}
\ No newline at end of file
diff --git a/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_44.json b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_44.json
new file mode 100644
index 0000000000000000000000000000000000000000..4c3731021f343a6a1b000a7a7579b6170f5443ed
--- /dev/null
+++ b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_44.json
@@ -0,0 +1 @@
+{"train": {"Regression_pt": 0.06850357853341063, "Regression_eta": 7.663344050338256e-05, "Regression_sin_phi": 6.260307804126965e-05, "Regression_cos_phi": 6.268900924348107e-05, "Regression_energy": 0.06900317753346333, "Classification_binary": 1.5080297481028668, "Classification": 0.010217462189080944, "MET": 3.2691921374367623, "Sliced_Wasserstein_Loss": 29.76487352445194, "Total": 1.655957130059022}, "valid": {"Regression_pt": 0.08594374167613494, "Regression_eta": 8.054893129529097e-05, "Regression_sin_phi": 6.622029468417168e-05, "Regression_cos_phi": 6.77348639911566e-05, "Regression_energy": 0.08582131679241474, "Classification_binary": 1.6102076799441607, "Classification": 0.010453237172884818, "MET": 3.4976959228515625, "Sliced_Wasserstein_Loss": 30.78118113982372, "Total": 1.7926402947841547}, "epoch_train_time": 25223.38546705246, "epoch_valid_time": 15.473660945892334, "epoch_total_time": 25238.859141111374}
\ No newline at end of file
diff --git a/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_45.json b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_45.json
new file mode 100644
index 0000000000000000000000000000000000000000..cad29c7c6ce8b4c8b8908ad734feebaa9064fe6c
--- /dev/null
+++ b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_45.json
@@ -0,0 +1 @@
+{"train": {"Regression_pt": 0.06794680616304806, "Regression_eta": 7.64090214772731e-05, "Regression_sin_phi": 6.244633692312e-05, "Regression_cos_phi": 6.254220692343494e-05, "Regression_energy": 0.06846246574620574, "Classification_binary": 1.503407593802698, "Classification": 0.010191594810550169, "MET": 3.2662123208263067, "Sliced_Wasserstein_Loss": 29.68276770657673, "Total": 1.6502101338532884}, "valid": {"Regression_pt": 0.0862579345703125, "Regression_eta": 8.024070531320877e-05, "Regression_sin_phi": 6.720245194931825e-05, "Regression_cos_phi": 6.833062387811832e-05, "Regression_energy": 0.08624134919582269, "Classification_binary": 1.6010340177095854, "Classification": 0.010384159974562816, "MET": 3.346986819536258, "Sliced_Wasserstein_Loss": 30.29435534354968, "Total": 1.784133519881811}, "epoch_train_time": 25317.983878850937, "epoch_valid_time": 15.4869384765625, "epoch_total_time": 25333.470829963684}
\ No newline at end of file
diff --git a/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_46.json b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_46.json
new file mode 100644
index 0000000000000000000000000000000000000000..f2ce03d998d5e949ef6519f1b241797200305f37
--- /dev/null
+++ b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_46.json
@@ -0,0 +1 @@
+{"train": {"Regression_pt": 0.06739045373102867, "Regression_eta": 7.618102416220243e-05, "Regression_sin_phi": 6.226188215799316e-05, "Regression_cos_phi": 6.23587371929098e-05, "Regression_energy": 0.06792445473888069, "Classification_binary": 1.498696906618887, "Classification": 0.010167276469290156, "MET": 3.2630048482293423, "Sliced_Wasserstein_Loss": 29.596079258010118, "Total": 1.6443735508010118}, "valid": {"Regression_pt": 0.0864866024408585, "Regression_eta": 7.960942382804859e-05, "Regression_sin_phi": 6.627561882711374e-05, "Regression_cos_phi": 6.744389135677081e-05, "Regression_energy": 0.08657519022623698, "Classification_binary": 1.6016503358498597, "Classification": 0.010370212487685375, "MET": 3.409460214468149, "Sliced_Wasserstein_Loss": 30.686830178285255, "Total": 1.7852957309820714}, "epoch_train_time": 25341.82473540306, "epoch_valid_time": 15.556179523468018, "epoch_total_time": 25357.380934476852}
\ No newline at end of file
diff --git a/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_47.json b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_47.json
new file mode 100644
index 0000000000000000000000000000000000000000..0452233b6249c4452ed3736f567d3266fecb3e4b
--- /dev/null
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diff --git a/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_48.json b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_48.json
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diff --git a/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_5.json b/cld/clusters/v2.2.0/CLD_from_scratch_4M/history/epoch_5.json
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diff --git a/cld/clusters/v2.2.0/CLD_from_scratch_4M/test-config.yaml b/cld/clusters/v2.2.0/CLD_from_scratch_4M/test-config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..6fea9d614ed828481e2855fbbeab306476ffc0ce
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+checkpoint_freq: 1
+comet: false
+comet_name: particleflow-pt
+comet_offline: false
+comet_step_freq: 100
+conv_type: attention
+data_dir: ../tensorflow_datasets/cld/
+dataset: clic
+dtype: float32
+enabled_test_datasets:
+- cld_edm_ttbar_pf
+finetune: null
+gpu_batch_multiplier: 128
+gpus: 1
+load: /pfvolcentral/experiments/scratch_4M_1/checkpoints/best_weights.pth
+lr: 0.0001
+lr_schedule: cosinedecay
+lr_schedule_config:
+  onecycle:
+    pct_start: 0.3
+make_plots: true
+model:
+  attention:
+    activation: relu
+    attention_type: math
+    conv_type: attention
+    dropout_conv_id_ff: 0.0
+    dropout_conv_id_mha: 0.0
+    dropout_conv_reg_ff: 0.0
+    dropout_conv_reg_mha: 0.0
+    dropout_ff: 0.0
+    head_dim: 32
+    num_convs: 3
+    num_heads: 32
+    use_pre_layernorm: true
+  cos_phi_mode: linear
+  energy_mode: direct-elemtype-split
+  eta_mode: linear
+  gnn_lsh:
+    activation: elu
+    bin_size: 32
+    conv_type: gnn_lsh
+    distance_dim: 128
+    embedding_dim: 512
+    ffn_dist_hidden_dim: 128
+    ffn_dist_num_layers: 2
+    layernorm: true
+    max_num_bins: 200
+    num_convs: 8
+    num_node_messages: 2
+    width: 512
+  input_encoding: split
+  learned_representation_mode: last
+  mamba:
+    activation: elu
+    conv_type: mamba
+    d_conv: 4
+    d_state: 16
+    dropout: 0.0
+    embedding_dim: 128
+    expand: 2
+    num_convs: 2
+    num_heads: 2
+    width: 128
+  pt_mode: direct-elemtype-split
+  sin_phi_mode: linear
+  trainable: all
+ntest: 5000
+ntrain: null
+num_epochs: 100
+num_workers: 8
+nvalid: null
+patience: 20
+prefetch_factor: 100
+raytune:
+  asha:
+    brackets: 1
+    grace_period: 10
+    max_t: 200
+    reduction_factor: 4
+  default_metric: val_loss
+  default_mode: min
+  hyperband:
+    max_t: 200
+    reduction_factor: 4
+  hyperopt:
+    n_random_steps: 10
+  local_dir: null
+  nevergrad:
+    n_random_steps: 10
+  sched: null
+  search_alg: null
+relaxed_load: true
+save_attention: true
+sort_data: false
+test: true
+test_dataset:
+  cld_edm_ttbar_pf:
+    splits:
+    - 1
+    - 2
+    - 3
+    - 4
+    - 5
+    - 6
+    - 7
+    - 8
+    - 9
+    - 10
+    version: 2.5.0
+train: null
+train_dataset:
+  clic:
+    physical:
+      batch_size: 1
+      samples:
+        cld_edm_ttbar_pf:
+          splits:
+          - 1
+          - 2
+          - 3
+          - 4
+          - 5
+          - 6
+          - 7
+          - 8
+          - 9
+          - 10
+          version: 2.5.0
+val_freq: null
+valid_dataset:
+  clic:
+    physical:
+      batch_size: 1
+      samples:
+        cld_edm_ttbar_pf:
+          splits:
+          - 1
+          - 2
+          - 3
+          - 4
+          - 5
+          - 6
+          - 7
+          - 8
+          - 9
+          - 10
+          version: 2.5.0
diff --git a/cld/clusters/v2.2.0/CLD_from_scratch_4M/test.log b/cld/clusters/v2.2.0/CLD_from_scratch_4M/test.log
new file mode 100644
index 0000000000000000000000000000000000000000..ca17b8777e8f555bc23454dce037efbe016d1e07
--- /dev/null
+++ b/cld/clusters/v2.2.0/CLD_from_scratch_4M/test.log
@@ -0,0 +1,689 @@
+[2025-02-27 11:56:01,016] INFO: Will use single-gpu: NVIDIA A100-SXM4-80GB
+[2025-02-27 11:56:01,016] INFO: configured dtype=torch.float32 for autocast
+[2025-02-27 11:56:01,016] INFO: configured dtype=torch.float32 for autocast
+[2025-02-27 11:56:01,088] INFO: model_kwargs: {'input_dim': 17, 'num_classes': 6, 'input_encoding': 'split', 'pt_mode': 'direct-elemtype-split', 'eta_mode': 'linear', 'sin_phi_mode': 'linear', 'cos_phi_mode': 'linear', 'energy_mode': 'direct-elemtype-split', 'elemtypes_nonzero': [1, 2], 'learned_representation_mode': 'last', 'conv_type': 'attention', 'num_convs': 3, 'dropout_ff': 0.0, 'dropout_conv_id_mha': 0.0, 'dropout_conv_id_ff': 0.0, 'dropout_conv_reg_mha': 0.0, 'dropout_conv_reg_ff': 0.0, 'activation': 'relu', 'head_dim': 32, 'num_heads': 32, 'attention_type': 'math', 'use_pre_layernorm': True}
+[2025-02-27 11:56:01,088] INFO: model_kwargs: {'input_dim': 17, 'num_classes': 6, 'input_encoding': 'split', 'pt_mode': 'direct-elemtype-split', 'eta_mode': 'linear', 'sin_phi_mode': 'linear', 'cos_phi_mode': 'linear', 'energy_mode': 'direct-elemtype-split', 'elemtypes_nonzero': [1, 2], 'learned_representation_mode': 'last', 'conv_type': 'attention', 'num_convs': 3, 'dropout_ff': 0.0, 'dropout_conv_id_mha': 0.0, 'dropout_conv_id_ff': 0.0, 'dropout_conv_reg_mha': 0.0, 'dropout_conv_reg_ff': 0.0, 'activation': 'relu', 'head_dim': 32, 'num_heads': 32, 'attention_type': 'math', 'use_pre_layernorm': True}
+[2025-02-27 11:56:01,396] INFO: layer conv_id_0 using attention_type=math
+[2025-02-27 11:56:01,396] INFO: layer conv_id_0 using attention_type=math
+[2025-02-27 11:56:01,513] INFO: layer conv_reg_0 using attention_type=math
+[2025-02-27 11:56:01,513] INFO: layer conv_reg_0 using attention_type=math
+[2025-02-27 11:56:01,617] INFO: layer conv_id_1 using attention_type=math
+[2025-02-27 11:56:01,617] INFO: layer conv_id_1 using attention_type=math
+[2025-02-27 11:56:01,738] INFO: layer conv_reg_1 using attention_type=math
+[2025-02-27 11:56:01,738] INFO: layer conv_reg_1 using attention_type=math
+[2025-02-27 11:56:01,850] INFO: layer conv_id_2 using attention_type=math
+[2025-02-27 11:56:01,850] INFO: layer conv_id_2 using attention_type=math
+[2025-02-27 11:56:01,962] INFO: layer conv_reg_2 using attention_type=math
+[2025-02-27 11:56:01,962] INFO: layer conv_reg_2 using attention_type=math
+[2025-02-27 11:56:23,228] WARNING: The following parameters are missing in the checkpoint file ['nn_pu.0.weight', 'nn_pu.0.bias', 'nn_pu.2.weight', 'nn_pu.2.bias', 'nn_pu.4.weight', 'nn_pu.4.bias']
+[2025-02-27 11:56:23,228] WARNING: The following parameters are missing in the checkpoint file ['nn_pu.0.weight', 'nn_pu.0.bias', 'nn_pu.2.weight', 'nn_pu.2.bias', 'nn_pu.4.weight', 'nn_pu.4.bias']
+[2025-02-27 11:56:23,287] WARNING: Optimizer checkpoint will not be loaded
+[2025-02-27 11:56:23,287] WARNING: Optimizer checkpoint will not be loaded
+[2025-02-27 11:56:23,288] INFO: Loaded model weights from /pfvolcentral/experiments/scratch_4M_1/checkpoints/best_weights.pth
+[2025-02-27 11:56:23,288] INFO: Loaded model weights from /pfvolcentral/experiments/scratch_4M_1/checkpoints/best_weights.pth
+[2025-02-27 11:56:23,367] INFO: MLPF(
+  (nn0_id): ModuleList(
+    (0-1): 2 x Sequential(
+      (0): Linear(in_features=17, out_features=1024, bias=True)
+      (1): ReLU()
+      (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+      (3): Dropout(p=0.0, inplace=False)
+      (4): Linear(in_features=1024, out_features=1024, bias=True)
+    )
+  )
+  (nn0_reg): ModuleList(
+    (0-1): 2 x Sequential(
+      (0): Linear(in_features=17, out_features=1024, bias=True)
+      (1): ReLU()
+      (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+      (3): Dropout(p=0.0, inplace=False)
+      (4): Linear(in_features=1024, out_features=1024, bias=True)
+    )
+  )
+  (conv_id): ModuleList(
+    (0-2): 3 x PreLnSelfAttentionLayer(
+      (mha): MultiheadAttention(
+        (out_proj): NonDynamicallyQuantizableLinear(in_features=1024, out_features=1024, bias=True)
+      )
+      (norm0): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+      (norm1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+      (seq): Sequential(
+        (0): Linear(in_features=1024, out_features=1024, bias=True)
+        (1): ReLU()
+        (2): Linear(in_features=1024, out_features=1024, bias=True)
+        (3): ReLU()
+      )
+      (dropout): Dropout(p=0.0, inplace=False)
+    )
+  )
+  (conv_reg): ModuleList(
+    (0-2): 3 x PreLnSelfAttentionLayer(
+      (mha): MultiheadAttention(
+        (out_proj): NonDynamicallyQuantizableLinear(in_features=1024, out_features=1024, bias=True)
+      )
+      (norm0): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+      (norm1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+      (seq): Sequential(
+        (0): Linear(in_features=1024, out_features=1024, bias=True)
+        (1): ReLU()
+        (2): Linear(in_features=1024, out_features=1024, bias=True)
+        (3): ReLU()
+      )
+      (dropout): Dropout(p=0.0, inplace=False)
+    )
+  )
+  (nn_binary_particle): Sequential(
+    (0): Linear(in_features=1024, out_features=1024, bias=True)
+    (1): ReLU()
+    (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+    (3): Dropout(p=0.0, inplace=False)
+    (4): Linear(in_features=1024, out_features=2, bias=True)
+  )
+  (nn_pid): Sequential(
+    (0): Linear(in_features=1024, out_features=1024, bias=True)
+    (1): ReLU()
+    (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+    (3): Dropout(p=0.0, inplace=False)
+    (4): Linear(in_features=1024, out_features=6, bias=True)
+  )
+  (nn_pu): Sequential(
+    (0): Linear(in_features=1024, out_features=1024, bias=True)
+    (1): ReLU()
+    (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+    (3): Dropout(p=0.0, inplace=False)
+    (4): Linear(in_features=1024, out_features=1, bias=True)
+  )
+  (nn_pt): RegressionOutput(
+    (nn): ModuleList(
+      (0-1): 2 x Sequential(
+        (0): Linear(in_features=1024, out_features=1024, bias=True)
+        (1): ReLU()
+        (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+        (3): Dropout(p=0.0, inplace=False)
+        (4): Linear(in_features=1024, out_features=1, bias=True)
+      )
+    )
+  )
+  (nn_eta): RegressionOutput(
+    (nn): Sequential(
+      (0): Linear(in_features=1024, out_features=1024, bias=True)
+      (1): ReLU()
+      (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+      (3): Dropout(p=0.0, inplace=False)
+      (4): Linear(in_features=1024, out_features=2, bias=True)
+    )
+  )
+  (nn_sin_phi): RegressionOutput(
+    (nn): Sequential(
+      (0): Linear(in_features=1024, out_features=1024, bias=True)
+      (1): ReLU()
+      (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+      (3): Dropout(p=0.0, inplace=False)
+      (4): Linear(in_features=1024, out_features=2, bias=True)
+    )
+  )
+  (nn_cos_phi): RegressionOutput(
+    (nn): Sequential(
+      (0): Linear(in_features=1024, out_features=1024, bias=True)
+      (1): ReLU()
+      (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+      (3): Dropout(p=0.0, inplace=False)
+      (4): Linear(in_features=1024, out_features=2, bias=True)
+    )
+  )
+  (nn_energy): RegressionOutput(
+    (nn): ModuleList(
+      (0-1): 2 x Sequential(
+        (0): Linear(in_features=1024, out_features=1024, bias=True)
+        (1): ReLU()
+        (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+        (3): Dropout(p=0.0, inplace=False)
+        (4): Linear(in_features=1024, out_features=1, bias=True)
+      )
+    )
+  )
+  (final_norm_id): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+  (final_norm_reg): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+)
+[2025-02-27 11:56:23,367] INFO: MLPF(
+  (nn0_id): ModuleList(
+    (0-1): 2 x Sequential(
+      (0): Linear(in_features=17, out_features=1024, bias=True)
+      (1): ReLU()
+      (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+      (3): Dropout(p=0.0, inplace=False)
+      (4): Linear(in_features=1024, out_features=1024, bias=True)
+    )
+  )
+  (nn0_reg): ModuleList(
+    (0-1): 2 x Sequential(
+      (0): Linear(in_features=17, out_features=1024, bias=True)
+      (1): ReLU()
+      (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+      (3): Dropout(p=0.0, inplace=False)
+      (4): Linear(in_features=1024, out_features=1024, bias=True)
+    )
+  )
+  (conv_id): ModuleList(
+    (0-2): 3 x PreLnSelfAttentionLayer(
+      (mha): MultiheadAttention(
+        (out_proj): NonDynamicallyQuantizableLinear(in_features=1024, out_features=1024, bias=True)
+      )
+      (norm0): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+      (norm1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+      (seq): Sequential(
+        (0): Linear(in_features=1024, out_features=1024, bias=True)
+        (1): ReLU()
+        (2): Linear(in_features=1024, out_features=1024, bias=True)
+        (3): ReLU()
+      )
+      (dropout): Dropout(p=0.0, inplace=False)
+    )
+  )
+  (conv_reg): ModuleList(
+    (0-2): 3 x PreLnSelfAttentionLayer(
+      (mha): MultiheadAttention(
+        (out_proj): NonDynamicallyQuantizableLinear(in_features=1024, out_features=1024, bias=True)
+      )
+      (norm0): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+      (norm1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+      (seq): Sequential(
+        (0): Linear(in_features=1024, out_features=1024, bias=True)
+        (1): ReLU()
+        (2): Linear(in_features=1024, out_features=1024, bias=True)
+        (3): ReLU()
+      )
+      (dropout): Dropout(p=0.0, inplace=False)
+    )
+  )
+  (nn_binary_particle): Sequential(
+    (0): Linear(in_features=1024, out_features=1024, bias=True)
+    (1): ReLU()
+    (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+    (3): Dropout(p=0.0, inplace=False)
+    (4): Linear(in_features=1024, out_features=2, bias=True)
+  )
+  (nn_pid): Sequential(
+    (0): Linear(in_features=1024, out_features=1024, bias=True)
+    (1): ReLU()
+    (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+    (3): Dropout(p=0.0, inplace=False)
+    (4): Linear(in_features=1024, out_features=6, bias=True)
+  )
+  (nn_pu): Sequential(
+    (0): Linear(in_features=1024, out_features=1024, bias=True)
+    (1): ReLU()
+    (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+    (3): Dropout(p=0.0, inplace=False)
+    (4): Linear(in_features=1024, out_features=1, bias=True)
+  )
+  (nn_pt): RegressionOutput(
+    (nn): ModuleList(
+      (0-1): 2 x Sequential(
+        (0): Linear(in_features=1024, out_features=1024, bias=True)
+        (1): ReLU()
+        (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+        (3): Dropout(p=0.0, inplace=False)
+        (4): Linear(in_features=1024, out_features=1, bias=True)
+      )
+    )
+  )
+  (nn_eta): RegressionOutput(
+    (nn): Sequential(
+      (0): Linear(in_features=1024, out_features=1024, bias=True)
+      (1): ReLU()
+      (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+      (3): Dropout(p=0.0, inplace=False)
+      (4): Linear(in_features=1024, out_features=2, bias=True)
+    )
+  )
+  (nn_sin_phi): RegressionOutput(
+    (nn): Sequential(
+      (0): Linear(in_features=1024, out_features=1024, bias=True)
+      (1): ReLU()
+      (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+      (3): Dropout(p=0.0, inplace=False)
+      (4): Linear(in_features=1024, out_features=2, bias=True)
+    )
+  )
+  (nn_cos_phi): RegressionOutput(
+    (nn): Sequential(
+      (0): Linear(in_features=1024, out_features=1024, bias=True)
+      (1): ReLU()
+      (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+      (3): Dropout(p=0.0, inplace=False)
+      (4): Linear(in_features=1024, out_features=2, bias=True)
+    )
+  )
+  (nn_energy): RegressionOutput(
+    (nn): ModuleList(
+      (0-1): 2 x Sequential(
+        (0): Linear(in_features=1024, out_features=1024, bias=True)
+        (1): ReLU()
+        (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+        (3): Dropout(p=0.0, inplace=False)
+        (4): Linear(in_features=1024, out_features=1, bias=True)
+      )
+    )
+  )
+  (final_norm_id): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+  (final_norm_reg): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+)
+[2025-02-27 11:56:23,369] INFO: Trainable parameters: 52630547
+[2025-02-27 11:56:23,369] INFO: Trainable parameters: 52630547
+[2025-02-27 11:56:23,369] INFO: Non-trainable parameters: 0
+[2025-02-27 11:56:23,369] INFO: Non-trainable parameters: 0
+[2025-02-27 11:56:23,369] INFO: Total parameters: 52630547
+[2025-02-27 11:56:23,369] INFO: Total parameters: 52630547
+[2025-02-27 11:56:23,372] INFO:                        Modules Trainable parameters Non-trainable parameters
+             nn0_id.0.0.weight                17408                        0
+               nn0_id.0.0.bias                 1024                        0
+             nn0_id.0.2.weight                 1024                        0
+               nn0_id.0.2.bias                 1024                        0
+             nn0_id.0.4.weight              1048576                        0
+               nn0_id.0.4.bias                 1024                        0
+             nn0_id.1.0.weight                17408                        0
+               nn0_id.1.0.bias                 1024                        0
+             nn0_id.1.2.weight                 1024                        0
+               nn0_id.1.2.bias                 1024                        0
+             nn0_id.1.4.weight              1048576                        0
+               nn0_id.1.4.bias                 1024                        0
+            nn0_reg.0.0.weight                17408                        0
+              nn0_reg.0.0.bias                 1024                        0
+            nn0_reg.0.2.weight                 1024                        0
+              nn0_reg.0.2.bias                 1024                        0
+            nn0_reg.0.4.weight              1048576                        0
+              nn0_reg.0.4.bias                 1024                        0
+            nn0_reg.1.0.weight                17408                        0
+              nn0_reg.1.0.bias                 1024                        0
+            nn0_reg.1.2.weight                 1024                        0
+              nn0_reg.1.2.bias                 1024                        0
+            nn0_reg.1.4.weight              1048576                        0
+              nn0_reg.1.4.bias                 1024                        0
+  conv_id.0.mha.in_proj_weight              3145728                        0
+    conv_id.0.mha.in_proj_bias                 3072                        0
+ conv_id.0.mha.out_proj.weight              1048576                        0
+   conv_id.0.mha.out_proj.bias                 1024                        0
+        conv_id.0.norm0.weight                 1024                        0
+          conv_id.0.norm0.bias                 1024                        0
+        conv_id.0.norm1.weight                 1024                        0
+          conv_id.0.norm1.bias                 1024                        0
+        conv_id.0.seq.0.weight              1048576                        0
+          conv_id.0.seq.0.bias                 1024                        0
+        conv_id.0.seq.2.weight              1048576                        0
+          conv_id.0.seq.2.bias                 1024                        0
+  conv_id.1.mha.in_proj_weight              3145728                        0
+    conv_id.1.mha.in_proj_bias                 3072                        0
+ conv_id.1.mha.out_proj.weight              1048576                        0
+   conv_id.1.mha.out_proj.bias                 1024                        0
+        conv_id.1.norm0.weight                 1024                        0
+          conv_id.1.norm0.bias                 1024                        0
+        conv_id.1.norm1.weight                 1024                        0
+          conv_id.1.norm1.bias                 1024                        0
+        conv_id.1.seq.0.weight              1048576                        0
+          conv_id.1.seq.0.bias                 1024                        0
+        conv_id.1.seq.2.weight              1048576                        0
+          conv_id.1.seq.2.bias                 1024                        0
+  conv_id.2.mha.in_proj_weight              3145728                        0
+    conv_id.2.mha.in_proj_bias                 3072                        0
+ conv_id.2.mha.out_proj.weight              1048576                        0
+   conv_id.2.mha.out_proj.bias                 1024                        0
+        conv_id.2.norm0.weight                 1024                        0
+          conv_id.2.norm0.bias                 1024                        0
+        conv_id.2.norm1.weight                 1024                        0
+          conv_id.2.norm1.bias                 1024                        0
+        conv_id.2.seq.0.weight              1048576                        0
+          conv_id.2.seq.0.bias                 1024                        0
+        conv_id.2.seq.2.weight              1048576                        0
+          conv_id.2.seq.2.bias                 1024                        0
+ conv_reg.0.mha.in_proj_weight              3145728                        0
+   conv_reg.0.mha.in_proj_bias                 3072                        0
+conv_reg.0.mha.out_proj.weight              1048576                        0
+  conv_reg.0.mha.out_proj.bias                 1024                        0
+       conv_reg.0.norm0.weight                 1024                        0
+         conv_reg.0.norm0.bias                 1024                        0
+       conv_reg.0.norm1.weight                 1024                        0
+         conv_reg.0.norm1.bias                 1024                        0
+       conv_reg.0.seq.0.weight              1048576                        0
+         conv_reg.0.seq.0.bias                 1024                        0
+       conv_reg.0.seq.2.weight              1048576                        0
+         conv_reg.0.seq.2.bias                 1024                        0
+ conv_reg.1.mha.in_proj_weight              3145728                        0
+   conv_reg.1.mha.in_proj_bias                 3072                        0
+conv_reg.1.mha.out_proj.weight              1048576                        0
+  conv_reg.1.mha.out_proj.bias                 1024                        0
+       conv_reg.1.norm0.weight                 1024                        0
+         conv_reg.1.norm0.bias                 1024                        0
+       conv_reg.1.norm1.weight                 1024                        0
+         conv_reg.1.norm1.bias                 1024                        0
+       conv_reg.1.seq.0.weight              1048576                        0
+         conv_reg.1.seq.0.bias                 1024                        0
+       conv_reg.1.seq.2.weight              1048576                        0
+         conv_reg.1.seq.2.bias                 1024                        0
+ conv_reg.2.mha.in_proj_weight              3145728                        0
+   conv_reg.2.mha.in_proj_bias                 3072                        0
+conv_reg.2.mha.out_proj.weight              1048576                        0
+  conv_reg.2.mha.out_proj.bias                 1024                        0
+       conv_reg.2.norm0.weight                 1024                        0
+         conv_reg.2.norm0.bias                 1024                        0
+       conv_reg.2.norm1.weight                 1024                        0
+         conv_reg.2.norm1.bias                 1024                        0
+       conv_reg.2.seq.0.weight              1048576                        0
+         conv_reg.2.seq.0.bias                 1024                        0
+       conv_reg.2.seq.2.weight              1048576                        0
+         conv_reg.2.seq.2.bias                 1024                        0
+   nn_binary_particle.0.weight              1048576                        0
+     nn_binary_particle.0.bias                 1024                        0
+   nn_binary_particle.2.weight                 1024                        0
+     nn_binary_particle.2.bias                 1024                        0
+   nn_binary_particle.4.weight                 2048                        0
+     nn_binary_particle.4.bias                    2                        0
+               nn_pid.0.weight              1048576                        0
+                 nn_pid.0.bias                 1024                        0
+               nn_pid.2.weight                 1024                        0
+                 nn_pid.2.bias                 1024                        0
+               nn_pid.4.weight                 6144                        0
+                 nn_pid.4.bias                    6                        0
+                nn_pu.0.weight              1048576                        0
+                  nn_pu.0.bias                 1024                        0
+                nn_pu.2.weight                 1024                        0
+                  nn_pu.2.bias                 1024                        0
+                nn_pu.4.weight                 1024                        0
+                  nn_pu.4.bias                    1                        0
+           nn_pt.nn.0.0.weight              1048576                        0
+             nn_pt.nn.0.0.bias                 1024                        0
+           nn_pt.nn.0.2.weight                 1024                        0
+             nn_pt.nn.0.2.bias                 1024                        0
+           nn_pt.nn.0.4.weight                 1024                        0
+             nn_pt.nn.0.4.bias                    1                        0
+           nn_pt.nn.1.0.weight              1048576                        0
+             nn_pt.nn.1.0.bias                 1024                        0
+           nn_pt.nn.1.2.weight                 1024                        0
+             nn_pt.nn.1.2.bias                 1024                        0
+           nn_pt.nn.1.4.weight                 1024                        0
+             nn_pt.nn.1.4.bias                    1                        0
+            nn_eta.nn.0.weight              1048576                        0
+              nn_eta.nn.0.bias                 1024                        0
+            nn_eta.nn.2.weight                 1024                        0
+              nn_eta.nn.2.bias                 1024                        0
+            nn_eta.nn.4.weight                 2048                        0
+              nn_eta.nn.4.bias                    2                        0
+        nn_sin_phi.nn.0.weight              1048576                        0
+          nn_sin_phi.nn.0.bias                 1024                        0
+        nn_sin_phi.nn.2.weight                 1024                        0
+          nn_sin_phi.nn.2.bias                 1024                        0
+        nn_sin_phi.nn.4.weight                 2048                        0
+          nn_sin_phi.nn.4.bias                    2                        0
+        nn_cos_phi.nn.0.weight              1048576                        0
+          nn_cos_phi.nn.0.bias                 1024                        0
+        nn_cos_phi.nn.2.weight                 1024                        0
+          nn_cos_phi.nn.2.bias                 1024                        0
+        nn_cos_phi.nn.4.weight                 2048                        0
+          nn_cos_phi.nn.4.bias                    2                        0
+       nn_energy.nn.0.0.weight              1048576                        0
+         nn_energy.nn.0.0.bias                 1024                        0
+       nn_energy.nn.0.2.weight                 1024                        0
+         nn_energy.nn.0.2.bias                 1024                        0
+       nn_energy.nn.0.4.weight                 1024                        0
+         nn_energy.nn.0.4.bias                    1                        0
+       nn_energy.nn.1.0.weight              1048576                        0
+         nn_energy.nn.1.0.bias                 1024                        0
+       nn_energy.nn.1.2.weight                 1024                        0
+         nn_energy.nn.1.2.bias                 1024                        0
+       nn_energy.nn.1.4.weight                 1024                        0
+         nn_energy.nn.1.4.bias                    1                        0
+          final_norm_id.weight                 1024                        0
+            final_norm_id.bias                 1024                        0
+         final_norm_reg.weight                 1024                        0
+           final_norm_reg.bias                 1024                        0
+[2025-02-27 11:56:23,372] INFO:                        Modules Trainable parameters Non-trainable parameters
+             nn0_id.0.0.weight                17408                        0
+               nn0_id.0.0.bias                 1024                        0
+             nn0_id.0.2.weight                 1024                        0
+               nn0_id.0.2.bias                 1024                        0
+             nn0_id.0.4.weight              1048576                        0
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+               nn_pid.0.weight              1048576                        0
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+                nn_pu.0.weight              1048576                        0
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+           nn_pt.nn.0.4.weight                 1024                        0
+             nn_pt.nn.0.4.bias                    1                        0
+           nn_pt.nn.1.0.weight              1048576                        0
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+            nn_eta.nn.0.weight              1048576                        0
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+            nn_eta.nn.2.weight                 1024                        0
+              nn_eta.nn.2.bias                 1024                        0
+            nn_eta.nn.4.weight                 2048                        0
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+        nn_sin_phi.nn.0.weight              1048576                        0
+          nn_sin_phi.nn.0.bias                 1024                        0
+        nn_sin_phi.nn.2.weight                 1024                        0
+          nn_sin_phi.nn.2.bias                 1024                        0
+        nn_sin_phi.nn.4.weight                 2048                        0
+          nn_sin_phi.nn.4.bias                    2                        0
+        nn_cos_phi.nn.0.weight              1048576                        0
+          nn_cos_phi.nn.0.bias                 1024                        0
+        nn_cos_phi.nn.2.weight                 1024                        0
+          nn_cos_phi.nn.2.bias                 1024                        0
+        nn_cos_phi.nn.4.weight                 2048                        0
+          nn_cos_phi.nn.4.bias                    2                        0
+       nn_energy.nn.0.0.weight              1048576                        0
+         nn_energy.nn.0.0.bias                 1024                        0
+       nn_energy.nn.0.2.weight                 1024                        0
+         nn_energy.nn.0.2.bias                 1024                        0
+       nn_energy.nn.0.4.weight                 1024                        0
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+         nn_energy.nn.1.0.bias                 1024                        0
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+       nn_energy.nn.1.4.weight                 1024                        0
+         nn_energy.nn.1.4.bias                    1                        0
+          final_norm_id.weight                 1024                        0
+            final_norm_id.bias                 1024                        0
+         final_norm_reg.weight                 1024                        0
+           final_norm_reg.bias                 1024                        0
+[2025-02-27 11:56:23,372] INFO: split_configs=[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
+[2025-02-27 11:56:23,372] INFO: split_configs=[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
+[2025-02-27 11:56:23,540] INFO: test_dataset: cld_edm_ttbar_pf, 5000
+[2025-02-27 11:56:23,540] INFO: test_dataset: cld_edm_ttbar_pf, 5000
+[2025-02-27 11:56:23,575] INFO: Running predictions on cld_edm_ttbar_pf
+[2025-02-27 11:56:23,575] INFO: Running predictions on cld_edm_ttbar_pf
+[2025-02-27 11:56:31,214] INFO: Saved predictions at /pfvolcentral/experiments/scratch_4M_1/preds_best_weights/cld_edm_ttbar_pf/pred_0_0.parquet
+[2025-02-27 11:56:31,214] INFO: Saved predictions at /pfvolcentral/experiments/scratch_4M_1/preds_best_weights/cld_edm_ttbar_pf/pred_0_0.parquet
+[2025-02-27 11:56:31,987] INFO: Saved predictions at /pfvolcentral/experiments/scratch_4M_1/preds_best_weights/cld_edm_ttbar_pf/pred_0_1.parquet
+[2025-02-27 11:56:31,987] INFO: Saved predictions at /pfvolcentral/experiments/scratch_4M_1/preds_best_weights/cld_edm_ttbar_pf/pred_0_1.parquet
+[2025-02-27 11:56:32,598] INFO: Saved predictions at /pfvolcentral/experiments/scratch_4M_1/preds_best_weights/cld_edm_ttbar_pf/pred_0_2.parquet
+[2025-02-27 11:56:32,598] INFO: Saved predictions at /pfvolcentral/experiments/scratch_4M_1/preds_best_weights/cld_edm_ttbar_pf/pred_0_2.parquet
+[2025-02-27 11:56:33,205] INFO: Saved predictions at /pfvolcentral/experiments/scratch_4M_1/preds_best_weights/cld_edm_ttbar_pf/pred_0_3.parquet
+[2025-02-27 11:56:33,205] INFO: Saved predictions at /pfvolcentral/experiments/scratch_4M_1/preds_best_weights/cld_edm_ttbar_pf/pred_0_3.parquet
+[2025-02-27 11:56:33,892] INFO: Saved predictions at /pfvolcentral/experiments/scratch_4M_1/preds_best_weights/cld_edm_ttbar_pf/pred_0_4.parquet
+[2025-02-27 11:56:33,892] INFO: Saved predictions at /pfvolcentral/experiments/scratch_4M_1/preds_best_weights/cld_edm_ttbar_pf/pred_0_4.parquet
+[2025-02-27 11:56:34,473] INFO: Saved predictions at /pfvolcentral/experiments/scratch_4M_1/preds_best_weights/cld_edm_ttbar_pf/pred_0_5.parquet
+[2025-02-27 11:56:34,473] INFO: Saved predictions at /pfvolcentral/experiments/scratch_4M_1/preds_best_weights/cld_edm_ttbar_pf/pred_0_5.parquet
+[2025-02-27 11:56:35,143] INFO: Saved predictions at /pfvolcentral/experiments/scratch_4M_1/preds_best_weights/cld_edm_ttbar_pf/pred_0_6.parquet
+[2025-02-27 11:56:35,143] INFO: Saved predictions at /pfvolcentral/experiments/scratch_4M_1/preds_best_weights/cld_edm_ttbar_pf/pred_0_6.parquet
+[2025-02-27 11:56:35,799] INFO: Saved predictions at /pfvolcentral/experiments/scratch_4M_1/preds_best_weights/cld_edm_ttbar_pf/pred_0_7.parquet
+[2025-02-27 11:56:35,799] INFO: Saved predictions at /pfvolcentral/experiments/scratch_4M_1/preds_best_weights/cld_edm_ttbar_pf/pred_0_7.parquet
+[2025-02-27 11:56:36,496] INFO: Saved predictions at /pfvolcentral/experiments/scratch_4M_1/preds_best_weights/cld_edm_ttbar_pf/pred_0_8.parquet
+[2025-02-27 11:56:36,496] INFO: Saved predictions at /pfvolcentral/experiments/scratch_4M_1/preds_best_weights/cld_edm_ttbar_pf/pred_0_8.parquet
+[2025-02-27 11:56:37,164] INFO: Saved predictions at /pfvolcentral/experiments/scratch_4M_1/preds_best_weights/cld_edm_ttbar_pf/pred_0_9.parquet
+[2025-02-27 11:56:37,164] INFO: Saved predictions at /pfvolcentral/experiments/scratch_4M_1/preds_best_weights/cld_edm_ttbar_pf/pred_0_9.parquet
+[2025-02-27 11:56:37,854] INFO: Saved predictions at /pfvolcentral/experiments/scratch_4M_1/preds_best_weights/cld_edm_ttbar_pf/pred_0_10.parquet
+[2025-02-27 11:56:37,854] INFO: Saved predictions at /pfvolcentral/experiments/scratch_4M_1/preds_best_weights/cld_edm_ttbar_pf/pred_0_10.parquet
+[2025-02-27 11:56:38,478] INFO: Saved predictions at /pfvolcentral/experiments/scratch_4M_1/preds_best_weights/cld_edm_ttbar_pf/pred_0_11.parquet
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+[2025-02-27 11:56:40,446] INFO: Saved predictions at /pfvolcentral/experiments/scratch_4M_1/preds_best_weights/cld_edm_ttbar_pf/pred_0_14.parquet
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+[2025-02-27 11:56:41,053] INFO: Saved predictions at /pfvolcentral/experiments/scratch_4M_1/preds_best_weights/cld_edm_ttbar_pf/pred_0_15.parquet
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+[2025-02-27 11:56:41,691] INFO: Saved predictions at /pfvolcentral/experiments/scratch_4M_1/preds_best_weights/cld_edm_ttbar_pf/pred_0_16.parquet
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+[2025-02-27 11:56:42,296] INFO: Saved predictions at /pfvolcentral/experiments/scratch_4M_1/preds_best_weights/cld_edm_ttbar_pf/pred_0_17.parquet
+[2025-02-27 11:56:42,296] INFO: Saved predictions at /pfvolcentral/experiments/scratch_4M_1/preds_best_weights/cld_edm_ttbar_pf/pred_0_17.parquet
+[2025-02-27 11:56:42,886] INFO: Saved predictions at /pfvolcentral/experiments/scratch_4M_1/preds_best_weights/cld_edm_ttbar_pf/pred_0_18.parquet
+[2025-02-27 11:56:42,886] INFO: Saved predictions at /pfvolcentral/experiments/scratch_4M_1/preds_best_weights/cld_edm_ttbar_pf/pred_0_18.parquet
+[2025-02-27 11:56:43,599] INFO: Saved predictions at /pfvolcentral/experiments/scratch_4M_1/preds_best_weights/cld_edm_ttbar_pf/pred_0_19.parquet
+[2025-02-27 11:56:43,599] INFO: Saved predictions at /pfvolcentral/experiments/scratch_4M_1/preds_best_weights/cld_edm_ttbar_pf/pred_0_19.parquet
+[2025-02-27 11:56:44,265] INFO: Saved predictions at /pfvolcentral/experiments/scratch_4M_1/preds_best_weights/cld_edm_ttbar_pf/pred_0_20.parquet
+[2025-02-27 11:56:44,265] INFO: Saved predictions at /pfvolcentral/experiments/scratch_4M_1/preds_best_weights/cld_edm_ttbar_pf/pred_0_20.parquet
+[2025-02-27 11:56:44,890] INFO: Saved predictions at /pfvolcentral/experiments/scratch_4M_1/preds_best_weights/cld_edm_ttbar_pf/pred_0_21.parquet
+[2025-02-27 11:56:44,890] INFO: Saved predictions at /pfvolcentral/experiments/scratch_4M_1/preds_best_weights/cld_edm_ttbar_pf/pred_0_21.parquet
+[2025-02-27 11:56:45,506] INFO: Saved predictions at /pfvolcentral/experiments/scratch_4M_1/preds_best_weights/cld_edm_ttbar_pf/pred_0_22.parquet
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+[2025-02-27 11:56:46,831] INFO: Saved predictions at /pfvolcentral/experiments/scratch_4M_1/preds_best_weights/cld_edm_ttbar_pf/pred_0_24.parquet
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+[2025-02-27 11:56:48,169] INFO: Saved predictions at /pfvolcentral/experiments/scratch_4M_1/preds_best_weights/cld_edm_ttbar_pf/pred_0_26.parquet
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+[2025-02-27 11:56:48,748] INFO: Saved predictions at /pfvolcentral/experiments/scratch_4M_1/preds_best_weights/cld_edm_ttbar_pf/pred_0_27.parquet
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+[2025-02-27 11:56:49,403] INFO: Saved predictions at /pfvolcentral/experiments/scratch_4M_1/preds_best_weights/cld_edm_ttbar_pf/pred_0_28.parquet
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+[2025-02-27 11:56:50,026] INFO: Saved predictions at /pfvolcentral/experiments/scratch_4M_1/preds_best_weights/cld_edm_ttbar_pf/pred_0_29.parquet
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+[2025-02-27 11:56:50,649] INFO: Saved predictions at /pfvolcentral/experiments/scratch_4M_1/preds_best_weights/cld_edm_ttbar_pf/pred_0_30.parquet
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+[2025-02-27 11:56:51,947] INFO: Saved predictions at /pfvolcentral/experiments/scratch_4M_1/preds_best_weights/cld_edm_ttbar_pf/pred_0_32.parquet
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+[2025-02-27 11:56:54,539] INFO: Saved predictions at /pfvolcentral/experiments/scratch_4M_1/preds_best_weights/cld_edm_ttbar_pf/pred_0_36.parquet
+[2025-02-27 11:56:54,539] INFO: Saved predictions at /pfvolcentral/experiments/scratch_4M_1/preds_best_weights/cld_edm_ttbar_pf/pred_0_36.parquet
+[2025-02-27 11:56:55,188] INFO: Saved predictions at /pfvolcentral/experiments/scratch_4M_1/preds_best_weights/cld_edm_ttbar_pf/pred_0_37.parquet
+[2025-02-27 11:56:55,188] INFO: Saved predictions at /pfvolcentral/experiments/scratch_4M_1/preds_best_weights/cld_edm_ttbar_pf/pred_0_37.parquet
+[2025-02-27 11:56:55,799] INFO: Saved predictions at /pfvolcentral/experiments/scratch_4M_1/preds_best_weights/cld_edm_ttbar_pf/pred_0_38.parquet
+[2025-02-27 11:56:55,799] INFO: Saved predictions at /pfvolcentral/experiments/scratch_4M_1/preds_best_weights/cld_edm_ttbar_pf/pred_0_38.parquet
+[2025-02-27 11:56:56,070] INFO: Saved predictions at /pfvolcentral/experiments/scratch_4M_1/preds_best_weights/cld_edm_ttbar_pf/pred_0_39.parquet
+[2025-02-27 11:56:56,070] INFO: Saved predictions at /pfvolcentral/experiments/scratch_4M_1/preds_best_weights/cld_edm_ttbar_pf/pred_0_39.parquet
+[2025-02-27 11:56:56,372] INFO: Time taken to make predictions on device 0 is: 0.54 min
+[2025-02-27 11:56:56,372] INFO: Time taken to make predictions on device 0 is: 0.54 min
+[2025-02-27 11:56:56,375] INFO: Plotting distributions for cld_edm_ttbar_pf
+[2025-02-27 11:56:56,375] INFO: Plotting distributions for cld_edm_ttbar_pf
diff --git a/cld/clusters/v2.2.0/CLD_from_scratch_4M/train-config.yaml b/cld/clusters/v2.2.0/CLD_from_scratch_4M/train-config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..960103825c1b13b6b35eefb05287f645e5e4928a
--- /dev/null
+++ b/cld/clusters/v2.2.0/CLD_from_scratch_4M/train-config.yaml
@@ -0,0 +1,147 @@
+checkpoint_freq: 1
+comet: false
+comet_name: particleflow-pt
+comet_offline: false
+comet_step_freq: 100
+conv_type: attention
+data_dir: ../tensorflow_datasets/cld/
+dataset: clic
+dtype: float32
+enabled_test_datasets:
+- cld_edm_ttbar_pf
+finetune: true
+gpu_batch_multiplier: 128
+gpus: 1
+load: null
+lr: 0.0001
+lr_schedule: cosinedecay
+lr_schedule_config:
+  onecycle:
+    pct_start: 0.3
+make_plots: true
+model:
+  attention:
+    activation: relu
+    attention_type: math
+    conv_type: attention
+    dropout_conv_id_ff: 0.0
+    dropout_conv_id_mha: 0.0
+    dropout_conv_reg_ff: 0.0
+    dropout_conv_reg_mha: 0.0
+    dropout_ff: 0.0
+    head_dim: 32
+    num_convs: 3
+    num_heads: 32
+    use_pre_layernorm: true
+  cos_phi_mode: linear
+  energy_mode: direct-elemtype-split
+  eta_mode: linear
+  gnn_lsh:
+    activation: elu
+    bin_size: 32
+    conv_type: gnn_lsh
+    distance_dim: 128
+    embedding_dim: 512
+    ffn_dist_hidden_dim: 128
+    ffn_dist_num_layers: 2
+    layernorm: true
+    max_num_bins: 200
+    num_convs: 8
+    num_node_messages: 2
+    width: 512
+  input_encoding: split
+  learned_representation_mode: last
+  mamba:
+    activation: elu
+    conv_type: mamba
+    d_conv: 4
+    d_state: 16
+    dropout: 0.0
+    embedding_dim: 128
+    expand: 2
+    num_convs: 2
+    num_heads: 2
+    width: 128
+  pt_mode: direct-elemtype-split
+  sin_phi_mode: linear
+  trainable: all
+ntest: 5000
+ntrain: 4000000
+num_epochs: 100
+num_workers: 8
+nvalid: 5000
+patience: 5
+prefetch_factor: 100
+raytune:
+  asha:
+    brackets: 1
+    grace_period: 10
+    max_t: 200
+    reduction_factor: 4
+  default_metric: val_loss
+  default_mode: min
+  hyperband:
+    max_t: 200
+    reduction_factor: 4
+  hyperopt:
+    n_random_steps: 10
+  local_dir: null
+  nevergrad:
+    n_random_steps: 10
+  sched: null
+  search_alg: null
+save_attention: true
+sort_data: false
+test: true
+test_dataset:
+  cld_edm_ttbar_pf:
+    splits:
+    - 1
+    - 2
+    - 3
+    - 4
+    - 5
+    - 6
+    - 7
+    - 8
+    - 9
+    - 10
+    version: 2.5.0
+train: true
+train_dataset:
+  clic:
+    physical:
+      batch_size: 1
+      samples:
+        cld_edm_ttbar_pf:
+          splits:
+          - 1
+          - 2
+          - 3
+          - 4
+          - 5
+          - 6
+          - 7
+          - 8
+          - 9
+          - 10
+          version: 2.5.0
+val_freq: null
+valid_dataset:
+  clic:
+    physical:
+      batch_size: 1
+      samples:
+        cld_edm_ttbar_pf:
+          splits:
+          - 1
+          - 2
+          - 3
+          - 4
+          - 5
+          - 6
+          - 7
+          - 8
+          - 9
+          - 10
+          version: 2.5.0
diff --git a/cld/clusters/v2.2.0/CLD_from_scratch_4M/train.log b/cld/clusters/v2.2.0/CLD_from_scratch_4M/train.log
new file mode 100644
index 0000000000000000000000000000000000000000..539f0f66417f797cc36f6ca19624444bd6651a5b
--- /dev/null
+++ b/cld/clusters/v2.2.0/CLD_from_scratch_4M/train.log
@@ -0,0 +1,799 @@
+[2025-02-05 14:56:02,358] INFO: Will use single-gpu: NVIDIA A100-SXM4-80GB
+[2025-02-05 14:56:02,358] INFO: configured dtype=torch.float32 for autocast
+[2025-02-05 14:56:02,358] INFO: configured dtype=torch.float32 for autocast
+[2025-02-05 14:56:02,566] INFO: layer conv_id_0 using attention_type=math
+[2025-02-05 14:56:02,566] INFO: layer conv_id_0 using attention_type=math
+[2025-02-05 14:56:02,653] INFO: layer conv_reg_0 using attention_type=math
+[2025-02-05 14:56:02,653] INFO: layer conv_reg_0 using attention_type=math
+[2025-02-05 14:56:02,750] INFO: layer conv_id_1 using attention_type=math
+[2025-02-05 14:56:02,750] INFO: layer conv_id_1 using attention_type=math
+[2025-02-05 14:56:02,838] INFO: layer conv_reg_1 using attention_type=math
+[2025-02-05 14:56:02,838] INFO: layer conv_reg_1 using attention_type=math
+[2025-02-05 14:56:02,926] INFO: layer conv_id_2 using attention_type=math
+[2025-02-05 14:56:02,926] INFO: layer conv_id_2 using attention_type=math
+[2025-02-05 14:56:03,015] INFO: layer conv_reg_2 using attention_type=math
+[2025-02-05 14:56:03,015] INFO: layer conv_reg_2 using attention_type=math
+[2025-02-05 14:56:05,348] INFO: MLPF(
+  (nn0_id): ModuleList(
+    (0-1): 2 x Sequential(
+      (0): Linear(in_features=17, out_features=1024, bias=True)
+      (1): ReLU()
+      (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+      (3): Dropout(p=0.0, inplace=False)
+      (4): Linear(in_features=1024, out_features=1024, bias=True)
+    )
+  )
+  (nn0_reg): ModuleList(
+    (0-1): 2 x Sequential(
+      (0): Linear(in_features=17, out_features=1024, bias=True)
+      (1): ReLU()
+      (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+      (3): Dropout(p=0.0, inplace=False)
+      (4): Linear(in_features=1024, out_features=1024, bias=True)
+    )
+  )
+  (conv_id): ModuleList(
+    (0-2): 3 x PreLnSelfAttentionLayer(
+      (mha): MultiheadAttention(
+        (out_proj): NonDynamicallyQuantizableLinear(in_features=1024, out_features=1024, bias=True)
+      )
+      (norm0): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+      (norm1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+      (seq): Sequential(
+        (0): Linear(in_features=1024, out_features=1024, bias=True)
+        (1): ReLU()
+        (2): Linear(in_features=1024, out_features=1024, bias=True)
+        (3): ReLU()
+      )
+      (dropout): Dropout(p=0.0, inplace=False)
+    )
+  )
+  (conv_reg): ModuleList(
+    (0-2): 3 x PreLnSelfAttentionLayer(
+      (mha): MultiheadAttention(
+        (out_proj): NonDynamicallyQuantizableLinear(in_features=1024, out_features=1024, bias=True)
+      )
+      (norm0): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+      (norm1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+      (seq): Sequential(
+        (0): Linear(in_features=1024, out_features=1024, bias=True)
+        (1): ReLU()
+        (2): Linear(in_features=1024, out_features=1024, bias=True)
+        (3): ReLU()
+      )
+      (dropout): Dropout(p=0.0, inplace=False)
+    )
+  )
+  (nn_binary_particle): Sequential(
+    (0): Linear(in_features=1024, out_features=1024, bias=True)
+    (1): ReLU()
+    (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+    (3): Dropout(p=0.0, inplace=False)
+    (4): Linear(in_features=1024, out_features=2, bias=True)
+  )
+  (nn_pid): Sequential(
+    (0): Linear(in_features=1024, out_features=1024, bias=True)
+    (1): ReLU()
+    (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+    (3): Dropout(p=0.0, inplace=False)
+    (4): Linear(in_features=1024, out_features=6, bias=True)
+  )
+  (nn_pt): RegressionOutput(
+    (nn): ModuleList(
+      (0-1): 2 x Sequential(
+        (0): Linear(in_features=1024, out_features=1024, bias=True)
+        (1): ReLU()
+        (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+        (3): Dropout(p=0.0, inplace=False)
+        (4): Linear(in_features=1024, out_features=1, bias=True)
+      )
+    )
+  )
+  (nn_eta): RegressionOutput(
+    (nn): Sequential(
+      (0): Linear(in_features=1024, out_features=1024, bias=True)
+      (1): ReLU()
+      (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+      (3): Dropout(p=0.0, inplace=False)
+      (4): Linear(in_features=1024, out_features=2, bias=True)
+    )
+  )
+  (nn_sin_phi): RegressionOutput(
+    (nn): Sequential(
+      (0): Linear(in_features=1024, out_features=1024, bias=True)
+      (1): ReLU()
+      (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+      (3): Dropout(p=0.0, inplace=False)
+      (4): Linear(in_features=1024, out_features=2, bias=True)
+    )
+  )
+  (nn_cos_phi): RegressionOutput(
+    (nn): Sequential(
+      (0): Linear(in_features=1024, out_features=1024, bias=True)
+      (1): ReLU()
+      (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+      (3): Dropout(p=0.0, inplace=False)
+      (4): Linear(in_features=1024, out_features=2, bias=True)
+    )
+  )
+  (nn_energy): RegressionOutput(
+    (nn): ModuleList(
+      (0-1): 2 x Sequential(
+        (0): Linear(in_features=1024, out_features=1024, bias=True)
+        (1): ReLU()
+        (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+        (3): Dropout(p=0.0, inplace=False)
+        (4): Linear(in_features=1024, out_features=1, bias=True)
+      )
+    )
+  )
+  (final_norm_id): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+  (final_norm_reg): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+)
+[2025-02-05 14:56:05,348] INFO: MLPF(
+  (nn0_id): ModuleList(
+    (0-1): 2 x Sequential(
+      (0): Linear(in_features=17, out_features=1024, bias=True)
+      (1): ReLU()
+      (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+      (3): Dropout(p=0.0, inplace=False)
+      (4): Linear(in_features=1024, out_features=1024, bias=True)
+    )
+  )
+  (nn0_reg): ModuleList(
+    (0-1): 2 x Sequential(
+      (0): Linear(in_features=17, out_features=1024, bias=True)
+      (1): ReLU()
+      (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+      (3): Dropout(p=0.0, inplace=False)
+      (4): Linear(in_features=1024, out_features=1024, bias=True)
+    )
+  )
+  (conv_id): ModuleList(
+    (0-2): 3 x PreLnSelfAttentionLayer(
+      (mha): MultiheadAttention(
+        (out_proj): NonDynamicallyQuantizableLinear(in_features=1024, out_features=1024, bias=True)
+      )
+      (norm0): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+      (norm1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+      (seq): Sequential(
+        (0): Linear(in_features=1024, out_features=1024, bias=True)
+        (1): ReLU()
+        (2): Linear(in_features=1024, out_features=1024, bias=True)
+        (3): ReLU()
+      )
+      (dropout): Dropout(p=0.0, inplace=False)
+    )
+  )
+  (conv_reg): ModuleList(
+    (0-2): 3 x PreLnSelfAttentionLayer(
+      (mha): MultiheadAttention(
+        (out_proj): NonDynamicallyQuantizableLinear(in_features=1024, out_features=1024, bias=True)
+      )
+      (norm0): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+      (norm1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+      (seq): Sequential(
+        (0): Linear(in_features=1024, out_features=1024, bias=True)
+        (1): ReLU()
+        (2): Linear(in_features=1024, out_features=1024, bias=True)
+        (3): ReLU()
+      )
+      (dropout): Dropout(p=0.0, inplace=False)
+    )
+  )
+  (nn_binary_particle): Sequential(
+    (0): Linear(in_features=1024, out_features=1024, bias=True)
+    (1): ReLU()
+    (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+    (3): Dropout(p=0.0, inplace=False)
+    (4): Linear(in_features=1024, out_features=2, bias=True)
+  )
+  (nn_pid): Sequential(
+    (0): Linear(in_features=1024, out_features=1024, bias=True)
+    (1): ReLU()
+    (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+    (3): Dropout(p=0.0, inplace=False)
+    (4): Linear(in_features=1024, out_features=6, bias=True)
+  )
+  (nn_pt): RegressionOutput(
+    (nn): ModuleList(
+      (0-1): 2 x Sequential(
+        (0): Linear(in_features=1024, out_features=1024, bias=True)
+        (1): ReLU()
+        (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+        (3): Dropout(p=0.0, inplace=False)
+        (4): Linear(in_features=1024, out_features=1, bias=True)
+      )
+    )
+  )
+  (nn_eta): RegressionOutput(
+    (nn): Sequential(
+      (0): Linear(in_features=1024, out_features=1024, bias=True)
+      (1): ReLU()
+      (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+      (3): Dropout(p=0.0, inplace=False)
+      (4): Linear(in_features=1024, out_features=2, bias=True)
+    )
+  )
+  (nn_sin_phi): RegressionOutput(
+    (nn): Sequential(
+      (0): Linear(in_features=1024, out_features=1024, bias=True)
+      (1): ReLU()
+      (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+      (3): Dropout(p=0.0, inplace=False)
+      (4): Linear(in_features=1024, out_features=2, bias=True)
+    )
+  )
+  (nn_cos_phi): RegressionOutput(
+    (nn): Sequential(
+      (0): Linear(in_features=1024, out_features=1024, bias=True)
+      (1): ReLU()
+      (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+      (3): Dropout(p=0.0, inplace=False)
+      (4): Linear(in_features=1024, out_features=2, bias=True)
+    )
+  )
+  (nn_energy): RegressionOutput(
+    (nn): ModuleList(
+      (0-1): 2 x Sequential(
+        (0): Linear(in_features=1024, out_features=1024, bias=True)
+        (1): ReLU()
+        (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+        (3): Dropout(p=0.0, inplace=False)
+        (4): Linear(in_features=1024, out_features=1, bias=True)
+      )
+    )
+  )
+  (final_norm_id): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+  (final_norm_reg): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
+)
+[2025-02-05 14:56:05,350] INFO: Trainable parameters: 51577874
+[2025-02-05 14:56:05,350] INFO: Trainable parameters: 51577874
+[2025-02-05 14:56:05,350] INFO: Non-trainable parameters: 0
+[2025-02-05 14:56:05,350] INFO: Non-trainable parameters: 0
+[2025-02-05 14:56:05,350] INFO: Total parameters: 51577874
+[2025-02-05 14:56:05,350] INFO: Total parameters: 51577874
+[2025-02-05 14:56:05,354] INFO:                        Modules Trainable parameters Non-trainable parameters
+             nn0_id.0.0.weight                17408                        0
+               nn0_id.0.0.bias                 1024                        0
+             nn0_id.0.2.weight                 1024                        0
+               nn0_id.0.2.bias                 1024                        0
+             nn0_id.0.4.weight              1048576                        0
+               nn0_id.0.4.bias                 1024                        0
+             nn0_id.1.0.weight                17408                        0
+               nn0_id.1.0.bias                 1024                        0
+             nn0_id.1.2.weight                 1024                        0
+               nn0_id.1.2.bias                 1024                        0
+             nn0_id.1.4.weight              1048576                        0
+               nn0_id.1.4.bias                 1024                        0
+            nn0_reg.0.0.weight                17408                        0
+              nn0_reg.0.0.bias                 1024                        0
+            nn0_reg.0.2.weight                 1024                        0
+              nn0_reg.0.2.bias                 1024                        0
+            nn0_reg.0.4.weight              1048576                        0
+              nn0_reg.0.4.bias                 1024                        0
+            nn0_reg.1.0.weight                17408                        0
+              nn0_reg.1.0.bias                 1024                        0
+            nn0_reg.1.2.weight                 1024                        0
+              nn0_reg.1.2.bias                 1024                        0
+            nn0_reg.1.4.weight              1048576                        0
+              nn0_reg.1.4.bias                 1024                        0
+  conv_id.0.mha.in_proj_weight              3145728                        0
+    conv_id.0.mha.in_proj_bias                 3072                        0
+ conv_id.0.mha.out_proj.weight              1048576                        0
+   conv_id.0.mha.out_proj.bias                 1024                        0
+        conv_id.0.norm0.weight                 1024                        0
+          conv_id.0.norm0.bias                 1024                        0
+        conv_id.0.norm1.weight                 1024                        0
+          conv_id.0.norm1.bias                 1024                        0
+        conv_id.0.seq.0.weight              1048576                        0
+          conv_id.0.seq.0.bias                 1024                        0
+        conv_id.0.seq.2.weight              1048576                        0
+          conv_id.0.seq.2.bias                 1024                        0
+  conv_id.1.mha.in_proj_weight              3145728                        0
+    conv_id.1.mha.in_proj_bias                 3072                        0
+ conv_id.1.mha.out_proj.weight              1048576                        0
+   conv_id.1.mha.out_proj.bias                 1024                        0
+        conv_id.1.norm0.weight                 1024                        0
+          conv_id.1.norm0.bias                 1024                        0
+        conv_id.1.norm1.weight                 1024                        0
+          conv_id.1.norm1.bias                 1024                        0
+        conv_id.1.seq.0.weight              1048576                        0
+          conv_id.1.seq.0.bias                 1024                        0
+        conv_id.1.seq.2.weight              1048576                        0
+          conv_id.1.seq.2.bias                 1024                        0
+  conv_id.2.mha.in_proj_weight              3145728                        0
+    conv_id.2.mha.in_proj_bias                 3072                        0
+ conv_id.2.mha.out_proj.weight              1048576                        0
+   conv_id.2.mha.out_proj.bias                 1024                        0
+        conv_id.2.norm0.weight                 1024                        0
+          conv_id.2.norm0.bias                 1024                        0
+        conv_id.2.norm1.weight                 1024                        0
+          conv_id.2.norm1.bias                 1024                        0
+        conv_id.2.seq.0.weight              1048576                        0
+          conv_id.2.seq.0.bias                 1024                        0
+        conv_id.2.seq.2.weight              1048576                        0
+          conv_id.2.seq.2.bias                 1024                        0
+ conv_reg.0.mha.in_proj_weight              3145728                        0
+   conv_reg.0.mha.in_proj_bias                 3072                        0
+conv_reg.0.mha.out_proj.weight              1048576                        0
+  conv_reg.0.mha.out_proj.bias                 1024                        0
+       conv_reg.0.norm0.weight                 1024                        0
+         conv_reg.0.norm0.bias                 1024                        0
+       conv_reg.0.norm1.weight                 1024                        0
+         conv_reg.0.norm1.bias                 1024                        0
+       conv_reg.0.seq.0.weight              1048576                        0
+         conv_reg.0.seq.0.bias                 1024                        0
+       conv_reg.0.seq.2.weight              1048576                        0
+         conv_reg.0.seq.2.bias                 1024                        0
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+[2025-02-05 14:56:05,354] INFO:                        Modules Trainable parameters Non-trainable parameters
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+            final_norm_id.bias                 1024                        0
+         final_norm_reg.weight                 1024                        0
+           final_norm_reg.bias                 1024                        0
+[2025-02-05 14:56:05,371] INFO: Creating experiment dir /pfvolcentral/experiments/Feb5_scratch_4M_pyg-cld_20250205_145601_936593
+[2025-02-05 14:56:05,371] INFO: Creating experiment dir /pfvolcentral/experiments/Feb5_scratch_4M_pyg-cld_20250205_145601_936593
+[2025-02-05 14:56:05,371] INFO: Model directory /pfvolcentral/experiments/Feb5_scratch_4M_pyg-cld_20250205_145601_936593
+[2025-02-05 14:56:05,371] INFO: Model directory /pfvolcentral/experiments/Feb5_scratch_4M_pyg-cld_20250205_145601_936593
+[2025-02-05 14:56:05,398] INFO: train_dataset: cld_edm_ttbar_pf, 379500
+[2025-02-05 14:56:05,398] INFO: train_dataset: cld_edm_ttbar_pf, 379500
+[2025-02-05 14:56:05,413] INFO: train_dataset: cld_edm_ttbar_pf, 379500
+[2025-02-05 14:56:05,413] INFO: train_dataset: cld_edm_ttbar_pf, 379500
+[2025-02-05 14:56:05,428] INFO: train_dataset: cld_edm_ttbar_pf, 379500
+[2025-02-05 14:56:05,428] INFO: train_dataset: cld_edm_ttbar_pf, 379500
+[2025-02-05 14:56:05,442] INFO: train_dataset: cld_edm_ttbar_pf, 379400
+[2025-02-05 14:56:05,442] INFO: train_dataset: cld_edm_ttbar_pf, 379400
+[2025-02-05 14:56:05,456] INFO: train_dataset: cld_edm_ttbar_pf, 379500
+[2025-02-05 14:56:05,456] INFO: train_dataset: cld_edm_ttbar_pf, 379500
+[2025-02-05 14:56:05,471] INFO: train_dataset: cld_edm_ttbar_pf, 379400
+[2025-02-05 14:56:05,471] INFO: train_dataset: cld_edm_ttbar_pf, 379400
+[2025-02-05 14:56:05,485] INFO: train_dataset: cld_edm_ttbar_pf, 379400
+[2025-02-05 14:56:05,485] INFO: train_dataset: cld_edm_ttbar_pf, 379400
+[2025-02-05 14:56:05,499] INFO: train_dataset: cld_edm_ttbar_pf, 379500
+[2025-02-05 14:56:05,499] INFO: train_dataset: cld_edm_ttbar_pf, 379500
+[2025-02-05 14:56:05,514] INFO: train_dataset: cld_edm_ttbar_pf, 379500
+[2025-02-05 14:56:05,514] INFO: train_dataset: cld_edm_ttbar_pf, 379500
+[2025-02-05 14:56:05,528] INFO: train_dataset: cld_edm_ttbar_pf, 380100
+[2025-02-05 14:56:05,528] INFO: train_dataset: cld_edm_ttbar_pf, 380100
+[2025-02-05 14:56:06,467] INFO: valid_dataset: cld_edm_ttbar_pf, 500
+[2025-02-05 14:56:06,467] INFO: valid_dataset: cld_edm_ttbar_pf, 500
+[2025-02-05 14:56:06,477] INFO: valid_dataset: cld_edm_ttbar_pf, 500
+[2025-02-05 14:56:06,477] INFO: valid_dataset: cld_edm_ttbar_pf, 500
+[2025-02-05 14:56:06,484] INFO: valid_dataset: cld_edm_ttbar_pf, 500
+[2025-02-05 14:56:06,484] INFO: valid_dataset: cld_edm_ttbar_pf, 500
+[2025-02-05 14:56:06,492] INFO: valid_dataset: cld_edm_ttbar_pf, 500
+[2025-02-05 14:56:06,492] INFO: valid_dataset: cld_edm_ttbar_pf, 500
+[2025-02-05 14:56:06,534] INFO: valid_dataset: cld_edm_ttbar_pf, 500
+[2025-02-05 14:56:06,534] INFO: valid_dataset: cld_edm_ttbar_pf, 500
+[2025-02-05 14:56:06,540] INFO: valid_dataset: cld_edm_ttbar_pf, 500
+[2025-02-05 14:56:06,540] INFO: valid_dataset: cld_edm_ttbar_pf, 500
+[2025-02-05 14:56:06,547] INFO: valid_dataset: cld_edm_ttbar_pf, 500
+[2025-02-05 14:56:06,547] INFO: valid_dataset: cld_edm_ttbar_pf, 500
+[2025-02-05 14:56:06,555] INFO: valid_dataset: cld_edm_ttbar_pf, 500
+[2025-02-05 14:56:06,555] INFO: valid_dataset: cld_edm_ttbar_pf, 500
+[2025-02-05 14:56:06,562] INFO: valid_dataset: cld_edm_ttbar_pf, 500
+[2025-02-05 14:56:06,562] INFO: valid_dataset: cld_edm_ttbar_pf, 500
+[2025-02-05 14:56:06,569] INFO: valid_dataset: cld_edm_ttbar_pf, 500
+[2025-02-05 14:56:06,569] INFO: valid_dataset: cld_edm_ttbar_pf, 500
+[2025-02-05 21:58:11,657] INFO: Rank 0: epoch=1/100 train_loss=3.3108 valid_loss=2.7375 stale=0 epoch_train_time=421.71m epoch_valid_time=0.27m epoch_total_time=421.98m eta=41785.3m
+[2025-02-05 21:58:11,657] INFO: Rank 0: epoch=1/100 train_loss=3.3108 valid_loss=2.7375 stale=0 epoch_train_time=421.71m epoch_valid_time=0.27m epoch_total_time=421.98m eta=41785.3m
+[2025-02-06 05:01:17,071] INFO: Rank 0: epoch=2/100 train_loss=2.6045 valid_loss=2.5338 stale=0 epoch_train_time=422.73m epoch_valid_time=0.26m epoch_total_time=422.99m eta=41413.0m
+[2025-02-06 05:01:17,071] INFO: Rank 0: epoch=2/100 train_loss=2.6045 valid_loss=2.5338 stale=0 epoch_train_time=422.73m epoch_valid_time=0.26m epoch_total_time=422.99m eta=41413.0m
+[2025-02-06 14:09:28,658] INFO: Rank 0: epoch=3/100 train_loss=2.4373 valid_loss=2.3758 stale=0 epoch_train_time=547.85m epoch_valid_time=0.25m epoch_total_time=548.11m eta=45051.9m
+[2025-02-06 14:09:28,658] INFO: Rank 0: epoch=3/100 train_loss=2.4373 valid_loss=2.3758 stale=0 epoch_train_time=547.85m epoch_valid_time=0.25m epoch_total_time=548.11m eta=45051.9m
+[2025-02-06 21:12:47,380] INFO: Rank 0: epoch=4/100 train_loss=2.3441 valid_loss=2.3123 stale=0 epoch_train_time=422.97m epoch_valid_time=0.26m epoch_total_time=423.23m eta=43600.0m
+[2025-02-06 21:12:47,380] INFO: Rank 0: epoch=4/100 train_loss=2.3441 valid_loss=2.3123 stale=0 epoch_train_time=422.97m epoch_valid_time=0.26m epoch_total_time=423.23m eta=43600.0m
+[2025-02-07 04:14:43,856] INFO: Rank 0: epoch=5/100 train_loss=2.2765 valid_loss=2.2521 stale=0 epoch_train_time=421.59m epoch_valid_time=0.26m epoch_total_time=421.85m eta=42533.6m
+[2025-02-07 04:14:43,856] INFO: Rank 0: epoch=5/100 train_loss=2.2765 valid_loss=2.2521 stale=0 epoch_train_time=421.59m epoch_valid_time=0.26m epoch_total_time=421.85m eta=42533.6m
+[2025-02-07 11:17:44,260] INFO: Rank 0: epoch=6/100 train_loss=2.2146 valid_loss=2.1891 stale=0 epoch_train_time=422.66m epoch_valid_time=0.26m epoch_total_time=422.92m eta=41698.7m
+[2025-02-07 11:17:44,260] INFO: Rank 0: epoch=6/100 train_loss=2.2146 valid_loss=2.1891 stale=0 epoch_train_time=422.66m epoch_valid_time=0.26m epoch_total_time=422.92m eta=41698.7m
+[2025-02-07 18:20:07,646] INFO: Rank 0: epoch=7/100 train_loss=2.1698 valid_loss=2.1753 stale=0 epoch_train_time=422.05m epoch_valid_time=0.26m epoch_total_time=422.31m eta=40973.2m
+[2025-02-07 18:20:07,646] INFO: Rank 0: epoch=7/100 train_loss=2.1698 valid_loss=2.1753 stale=0 epoch_train_time=422.05m epoch_valid_time=0.26m epoch_total_time=422.31m eta=40973.2m
+[2025-02-08 01:21:58,162] INFO: Rank 0: epoch=8/100 train_loss=2.1343 valid_loss=2.1384 stale=0 epoch_train_time=421.49m epoch_valid_time=0.27m epoch_total_time=421.75m eta=40317.3m
+[2025-02-08 01:21:58,162] INFO: Rank 0: epoch=8/100 train_loss=2.1343 valid_loss=2.1384 stale=0 epoch_train_time=421.49m epoch_valid_time=0.27m epoch_total_time=421.75m eta=40317.3m
+[2025-02-08 08:24:27,689] INFO: Rank 0: epoch=9/100 train_loss=2.1037 valid_loss=2.1061 stale=0 epoch_train_time=422.15m epoch_valid_time=0.25m epoch_total_time=422.40m eta=39719.9m
+[2025-02-08 08:24:27,689] INFO: Rank 0: epoch=9/100 train_loss=2.1037 valid_loss=2.1061 stale=0 epoch_train_time=422.15m epoch_valid_time=0.25m epoch_total_time=422.40m eta=39719.9m
+[2025-02-08 15:25:54,840] INFO: Rank 0: epoch=10/100 train_loss=2.0723 valid_loss=2.0807 stale=0 epoch_train_time=421.12m epoch_valid_time=0.26m epoch_total_time=421.38m eta=39148.1m
+[2025-02-08 15:25:54,840] INFO: Rank 0: epoch=10/100 train_loss=2.0723 valid_loss=2.0807 stale=0 epoch_train_time=421.12m epoch_valid_time=0.26m epoch_total_time=421.38m eta=39148.1m
+[2025-02-08 22:27:12,255] INFO: Rank 0: epoch=11/100 train_loss=2.0338 valid_loss=2.0353 stale=0 epoch_train_time=420.96m epoch_valid_time=0.25m epoch_total_time=421.21m eta=38602.4m
+[2025-02-08 22:27:12,255] INFO: Rank 0: epoch=11/100 train_loss=2.0338 valid_loss=2.0353 stale=0 epoch_train_time=420.96m epoch_valid_time=0.25m epoch_total_time=421.21m eta=38602.4m
+[2025-02-09 05:29:16,363] INFO: Rank 0: epoch=12/100 train_loss=1.9992 valid_loss=2.0109 stale=0 epoch_train_time=421.73m epoch_valid_time=0.25m epoch_total_time=421.98m eta=38083.1m
+[2025-02-09 05:29:16,363] INFO: Rank 0: epoch=12/100 train_loss=1.9992 valid_loss=2.0109 stale=0 epoch_train_time=421.73m epoch_valid_time=0.25m epoch_total_time=421.98m eta=38083.1m
+[2025-02-09 12:30:12,763] INFO: Rank 0: epoch=13/100 train_loss=1.9654 valid_loss=1.9706 stale=0 epoch_train_time=420.56m epoch_valid_time=0.29m epoch_total_time=420.85m eta=37571.2m
+[2025-02-09 12:30:12,763] INFO: Rank 0: epoch=13/100 train_loss=1.9654 valid_loss=1.9706 stale=0 epoch_train_time=420.56m epoch_valid_time=0.29m epoch_total_time=420.85m eta=37571.2m
+[2025-02-09 19:31:22,350] INFO: Rank 0: epoch=14/100 train_loss=1.9344 valid_loss=1.9577 stale=0 epoch_train_time=420.82m epoch_valid_time=0.26m epoch_total_time=421.08m eta=37073.7m
+[2025-02-09 19:31:22,350] INFO: Rank 0: epoch=14/100 train_loss=1.9344 valid_loss=1.9577 stale=0 epoch_train_time=420.82m epoch_valid_time=0.26m epoch_total_time=421.08m eta=37073.7m
+[2025-02-10 03:41:02,758] INFO: Rank 0: epoch=15/100 train_loss=1.9100 valid_loss=1.9332 stale=0 epoch_train_time=489.33m epoch_valid_time=0.26m epoch_total_time=489.59m eta=36974.6m
+[2025-02-10 03:41:02,758] INFO: Rank 0: epoch=15/100 train_loss=1.9100 valid_loss=1.9332 stale=0 epoch_train_time=489.33m epoch_valid_time=0.26m epoch_total_time=489.59m eta=36974.6m
+[2025-02-10 12:15:04,801] INFO: Rank 0: epoch=16/100 train_loss=1.8903 valid_loss=1.9090 stale=0 epoch_train_time=513.70m epoch_valid_time=0.25m epoch_total_time=513.95m eta=36954.5m
+[2025-02-10 12:15:04,801] INFO: Rank 0: epoch=16/100 train_loss=1.8903 valid_loss=1.9090 stale=0 epoch_train_time=513.70m epoch_valid_time=0.25m epoch_total_time=513.95m eta=36954.5m
+[2025-02-10 19:18:48,630] INFO: Rank 0: epoch=17/100 train_loss=1.8736 valid_loss=1.9173 stale=1 epoch_train_time=423.44m epoch_valid_time=0.25m epoch_total_time=423.68m eta=36435.5m
+[2025-02-10 19:18:48,630] INFO: Rank 0: epoch=17/100 train_loss=1.8736 valid_loss=1.9173 stale=1 epoch_train_time=423.44m epoch_valid_time=0.25m epoch_total_time=423.68m eta=36435.5m
+[2025-02-11 02:34:31,197] INFO: Rank 0: epoch=18/100 train_loss=1.8591 valid_loss=1.8922 stale=0 epoch_train_time=435.34m epoch_valid_time=0.27m epoch_total_time=435.61m eta=35981.6m
+[2025-02-11 02:34:31,197] INFO: Rank 0: epoch=18/100 train_loss=1.8591 valid_loss=1.8922 stale=0 epoch_train_time=435.34m epoch_valid_time=0.27m epoch_total_time=435.61m eta=35981.6m
+[2025-02-11 09:36:42,015] INFO: Rank 0: epoch=19/100 train_loss=1.8458 valid_loss=1.8870 stale=0 epoch_train_time=421.83m epoch_valid_time=0.25m epoch_total_time=422.09m eta=35471.9m
+[2025-02-11 09:36:42,015] INFO: Rank 0: epoch=19/100 train_loss=1.8458 valid_loss=1.8870 stale=0 epoch_train_time=421.83m epoch_valid_time=0.25m epoch_total_time=422.09m eta=35471.9m
+[2025-02-11 16:38:47,945] INFO: Rank 0: epoch=20/100 train_loss=1.8341 valid_loss=1.8697 stale=0 epoch_train_time=421.77m epoch_valid_time=0.25m epoch_total_time=422.02m eta=34970.7m
+[2025-02-11 16:38:47,945] INFO: Rank 0: epoch=20/100 train_loss=1.8341 valid_loss=1.8697 stale=0 epoch_train_time=421.77m epoch_valid_time=0.25m epoch_total_time=422.02m eta=34970.7m
+[2025-02-11 23:42:26,265] INFO: Rank 0: epoch=21/100 train_loss=1.8230 valid_loss=1.8668 stale=0 epoch_train_time=423.29m epoch_valid_time=0.26m epoch_total_time=423.55m eta=34482.8m
+[2025-02-11 23:42:26,265] INFO: Rank 0: epoch=21/100 train_loss=1.8230 valid_loss=1.8668 stale=0 epoch_train_time=423.29m epoch_valid_time=0.26m epoch_total_time=423.55m eta=34482.8m
+[2025-02-12 06:44:45,560] INFO: Rank 0: epoch=22/100 train_loss=1.8127 valid_loss=1.8539 stale=0 epoch_train_time=421.96m epoch_valid_time=0.26m epoch_total_time=422.21m eta=33996.1m
+[2025-02-12 06:44:45,560] INFO: Rank 0: epoch=22/100 train_loss=1.8127 valid_loss=1.8539 stale=0 epoch_train_time=421.96m epoch_valid_time=0.26m epoch_total_time=422.21m eta=33996.1m
+[2025-02-12 13:47:09,816] INFO: Rank 0: epoch=23/100 train_loss=1.8030 valid_loss=1.8471 stale=0 epoch_train_time=422.04m epoch_valid_time=0.28m epoch_total_time=422.32m eta=33515.2m
+[2025-02-12 13:47:09,816] INFO: Rank 0: epoch=23/100 train_loss=1.8030 valid_loss=1.8471 stale=0 epoch_train_time=422.04m epoch_valid_time=0.28m epoch_total_time=422.32m eta=33515.2m
+[2025-02-12 20:49:42,931] INFO: Rank 0: epoch=24/100 train_loss=1.7936 valid_loss=1.8464 stale=0 epoch_train_time=422.20m epoch_valid_time=0.26m epoch_total_time=422.46m eta=33039.7m
+[2025-02-12 20:49:42,931] INFO: Rank 0: epoch=24/100 train_loss=1.7936 valid_loss=1.8464 stale=0 epoch_train_time=422.20m epoch_valid_time=0.26m epoch_total_time=422.46m eta=33039.7m
+[2025-02-13 03:52:12,631] INFO: Rank 0: epoch=25/100 train_loss=1.7848 valid_loss=1.8331 stale=0 epoch_train_time=422.15m epoch_valid_time=0.26m epoch_total_time=422.41m eta=32568.3m
+[2025-02-13 03:52:12,631] INFO: Rank 0: epoch=25/100 train_loss=1.7848 valid_loss=1.8331 stale=0 epoch_train_time=422.15m epoch_valid_time=0.26m epoch_total_time=422.41m eta=32568.3m
+[2025-02-13 10:56:04,031] INFO: Rank 0: epoch=26/100 train_loss=1.7762 valid_loss=1.8323 stale=0 epoch_train_time=423.51m epoch_valid_time=0.26m epoch_total_time=423.77m eta=32104.5m
+[2025-02-13 10:56:04,031] INFO: Rank 0: epoch=26/100 train_loss=1.7762 valid_loss=1.8323 stale=0 epoch_train_time=423.51m epoch_valid_time=0.26m epoch_total_time=423.77m eta=32104.5m
+[2025-02-13 17:58:13,531] INFO: Rank 0: epoch=27/100 train_loss=1.7679 valid_loss=1.8301 stale=0 epoch_train_time=421.81m epoch_valid_time=0.26m epoch_total_time=422.07m eta=31639.0m
+[2025-02-13 17:58:13,531] INFO: Rank 0: epoch=27/100 train_loss=1.7679 valid_loss=1.8301 stale=0 epoch_train_time=421.81m epoch_valid_time=0.26m epoch_total_time=422.07m eta=31639.0m
+[2025-02-14 01:01:21,633] INFO: Rank 0: epoch=28/100 train_loss=1.7602 valid_loss=1.8254 stale=0 epoch_train_time=422.79m epoch_valid_time=0.26m epoch_total_time=423.05m eta=31179.2m
+[2025-02-14 01:01:21,633] INFO: Rank 0: epoch=28/100 train_loss=1.7602 valid_loss=1.8254 stale=0 epoch_train_time=422.79m epoch_valid_time=0.26m epoch_total_time=423.05m eta=31179.2m
+[2025-02-14 08:04:43,593] INFO: Rank 0: epoch=29/100 train_loss=1.7528 valid_loss=1.8215 stale=0 epoch_train_time=423.03m epoch_valid_time=0.25m epoch_total_time=423.28m eta=30722.4m
+[2025-02-14 08:04:43,593] INFO: Rank 0: epoch=29/100 train_loss=1.7528 valid_loss=1.8215 stale=0 epoch_train_time=423.03m epoch_valid_time=0.25m epoch_total_time=423.28m eta=30722.4m
+[2025-02-14 15:07:24,327] INFO: Rank 0: epoch=30/100 train_loss=1.7457 valid_loss=1.8142 stale=0 epoch_train_time=422.32m epoch_valid_time=0.27m epoch_total_time=422.59m eta=30266.3m
+[2025-02-14 15:07:24,327] INFO: Rank 0: epoch=30/100 train_loss=1.7457 valid_loss=1.8142 stale=0 epoch_train_time=422.32m epoch_valid_time=0.27m epoch_total_time=422.59m eta=30266.3m
+[2025-02-14 22:10:43,065] INFO: Rank 0: epoch=31/100 train_loss=1.7387 valid_loss=1.8184 stale=1 epoch_train_time=422.98m epoch_valid_time=0.26m epoch_total_time=423.24m eta=29813.8m
+[2025-02-14 22:10:43,065] INFO: Rank 0: epoch=31/100 train_loss=1.7387 valid_loss=1.8184 stale=1 epoch_train_time=422.98m epoch_valid_time=0.26m epoch_total_time=423.24m eta=29813.8m
+[2025-02-15 05:15:08,862] INFO: Rank 0: epoch=32/100 train_loss=1.7322 valid_loss=1.8090 stale=0 epoch_train_time=424.06m epoch_valid_time=0.27m epoch_total_time=424.33m eta=29365.4m
+[2025-02-15 05:15:08,862] INFO: Rank 0: epoch=32/100 train_loss=1.7322 valid_loss=1.8090 stale=0 epoch_train_time=424.06m epoch_valid_time=0.27m epoch_total_time=424.33m eta=29365.4m
+[2025-02-15 12:18:35,587] INFO: Rank 0: epoch=33/100 train_loss=1.7256 valid_loss=1.8052 stale=0 epoch_train_time=423.11m epoch_valid_time=0.26m epoch_total_time=423.37m eta=28916.5m
+[2025-02-15 12:18:35,587] INFO: Rank 0: epoch=33/100 train_loss=1.7256 valid_loss=1.8052 stale=0 epoch_train_time=423.11m epoch_valid_time=0.26m epoch_total_time=423.37m eta=28916.5m
+[2025-02-15 19:23:47,478] INFO: Rank 0: epoch=34/100 train_loss=1.7191 valid_loss=1.7964 stale=0 epoch_train_time=424.76m epoch_valid_time=0.27m epoch_total_time=425.03m eta=28472.5m
+[2025-02-15 19:23:47,478] INFO: Rank 0: epoch=34/100 train_loss=1.7191 valid_loss=1.7964 stale=0 epoch_train_time=424.76m epoch_valid_time=0.27m epoch_total_time=425.03m eta=28472.5m
+[2025-02-16 02:27:06,671] INFO: Rank 0: epoch=35/100 train_loss=1.7125 valid_loss=1.8048 stale=1 epoch_train_time=422.98m epoch_valid_time=0.27m epoch_total_time=423.25m eta=28026.1m
+[2025-02-16 02:27:06,671] INFO: Rank 0: epoch=35/100 train_loss=1.7125 valid_loss=1.8048 stale=1 epoch_train_time=422.98m epoch_valid_time=0.27m epoch_total_time=423.25m eta=28026.1m
+[2025-02-16 10:09:28,031] INFO: Rank 0: epoch=36/100 train_loss=1.7060 valid_loss=1.8053 stale=2 epoch_train_time=462.05m epoch_valid_time=0.25m epoch_total_time=462.30m eta=27650.4m
+[2025-02-16 10:09:28,031] INFO: Rank 0: epoch=36/100 train_loss=1.7060 valid_loss=1.8053 stale=2 epoch_train_time=462.05m epoch_valid_time=0.25m epoch_total_time=462.30m eta=27650.4m
+[2025-02-16 17:12:06,242] INFO: Rank 0: epoch=37/100 train_loss=1.6991 valid_loss=1.7944 stale=0 epoch_train_time=422.31m epoch_valid_time=0.25m epoch_total_time=422.57m eta=27202.3m
+[2025-02-16 17:12:06,242] INFO: Rank 0: epoch=37/100 train_loss=1.6991 valid_loss=1.7944 stale=0 epoch_train_time=422.31m epoch_valid_time=0.25m epoch_total_time=422.57m eta=27202.3m
+[2025-02-17 00:13:27,944] INFO: Rank 0: epoch=38/100 train_loss=1.6925 valid_loss=1.7897 stale=0 epoch_train_time=420.99m epoch_valid_time=0.25m epoch_total_time=421.24m eta=26753.6m
+[2025-02-17 00:13:27,944] INFO: Rank 0: epoch=38/100 train_loss=1.6925 valid_loss=1.7897 stale=0 epoch_train_time=420.99m epoch_valid_time=0.25m epoch_total_time=421.24m eta=26753.6m
+[2025-02-17 07:14:29,835] INFO: Rank 0: epoch=39/100 train_loss=1.6859 valid_loss=1.7890 stale=0 epoch_train_time=420.71m epoch_valid_time=0.25m epoch_total_time=420.96m eta=26305.7m
+[2025-02-17 07:14:29,835] INFO: Rank 0: epoch=39/100 train_loss=1.6859 valid_loss=1.7890 stale=0 epoch_train_time=420.71m epoch_valid_time=0.25m epoch_total_time=420.96m eta=26305.7m
+[2025-02-17 14:17:20,151] INFO: Rank 0: epoch=40/100 train_loss=1.6798 valid_loss=1.7861 stale=0 epoch_train_time=422.48m epoch_valid_time=0.27m epoch_total_time=422.75m eta=25861.8m
+[2025-02-17 14:17:20,151] INFO: Rank 0: epoch=40/100 train_loss=1.6798 valid_loss=1.7861 stale=0 epoch_train_time=422.48m epoch_valid_time=0.27m epoch_total_time=422.75m eta=25861.8m
+[2025-02-17 21:18:50,131] INFO: Rank 0: epoch=41/100 train_loss=1.6736 valid_loss=1.7942 stale=1 epoch_train_time=421.18m epoch_valid_time=0.26m epoch_total_time=421.44m eta=25417.1m
+[2025-02-17 21:18:50,131] INFO: Rank 0: epoch=41/100 train_loss=1.6736 valid_loss=1.7942 stale=1 epoch_train_time=421.18m epoch_valid_time=0.26m epoch_total_time=421.44m eta=25417.1m
+[2025-02-18 04:21:23,994] INFO: Rank 0: epoch=42/100 train_loss=1.6678 valid_loss=1.7826 stale=0 epoch_train_time=422.21m epoch_valid_time=0.26m epoch_total_time=422.47m eta=24974.9m
+[2025-02-18 04:21:23,994] INFO: Rank 0: epoch=42/100 train_loss=1.6678 valid_loss=1.7826 stale=0 epoch_train_time=422.21m epoch_valid_time=0.26m epoch_total_time=422.47m eta=24974.9m
+[2025-02-18 11:23:51,982] INFO: Rank 0: epoch=43/100 train_loss=1.6619 valid_loss=1.7899 stale=1 epoch_train_time=422.16m epoch_valid_time=0.25m epoch_total_time=422.41m eta=24533.5m
+[2025-02-18 11:23:51,982] INFO: Rank 0: epoch=43/100 train_loss=1.6619 valid_loss=1.7899 stale=1 epoch_train_time=422.16m epoch_valid_time=0.25m epoch_total_time=422.41m eta=24533.5m
+[2025-02-18 18:24:34,080] INFO: Rank 0: epoch=44/100 train_loss=1.6560 valid_loss=1.7926 stale=2 epoch_train_time=420.39m epoch_valid_time=0.26m epoch_total_time=420.65m eta=24090.8m
+[2025-02-18 18:24:34,080] INFO: Rank 0: epoch=44/100 train_loss=1.6560 valid_loss=1.7926 stale=2 epoch_train_time=420.39m epoch_valid_time=0.26m epoch_total_time=420.65m eta=24090.8m
+[2025-02-19 01:26:50,572] INFO: Rank 0: epoch=45/100 train_loss=1.6502 valid_loss=1.7841 stale=3 epoch_train_time=421.97m epoch_valid_time=0.26m epoch_total_time=422.22m eta=23650.9m
+[2025-02-19 01:26:50,572] INFO: Rank 0: epoch=45/100 train_loss=1.6502 valid_loss=1.7841 stale=3 epoch_train_time=421.97m epoch_valid_time=0.26m epoch_total_time=422.22m eta=23650.9m
+[2025-02-19 08:29:32,867] INFO: Rank 0: epoch=46/100 train_loss=1.6444 valid_loss=1.7853 stale=4 epoch_train_time=422.36m epoch_valid_time=0.26m epoch_total_time=422.62m eta=23212.3m
+[2025-02-19 08:29:32,867] INFO: Rank 0: epoch=46/100 train_loss=1.6444 valid_loss=1.7853 stale=4 epoch_train_time=422.36m epoch_valid_time=0.26m epoch_total_time=422.62m eta=23212.3m
+[2025-02-19 15:30:47,546] INFO: Rank 0: epoch=47/100 train_loss=1.6384 valid_loss=1.7909 stale=5 epoch_train_time=420.92m epoch_valid_time=0.26m epoch_total_time=421.19m eta=22772.7m
+[2025-02-19 15:30:47,546] INFO: Rank 0: epoch=47/100 train_loss=1.6384 valid_loss=1.7909 stale=5 epoch_train_time=420.92m epoch_valid_time=0.26m epoch_total_time=421.19m eta=22772.7m
+[2025-02-19 22:32:26,955] INFO: Rank 0: epoch=48/100 train_loss=1.6326 valid_loss=1.7855 stale=6 epoch_train_time=421.34m epoch_valid_time=0.26m epoch_total_time=421.60m eta=22334.4m
+[2025-02-19 22:32:26,955] INFO: Rank 0: epoch=48/100 train_loss=1.6326 valid_loss=1.7855 stale=6 epoch_train_time=421.34m epoch_valid_time=0.26m epoch_total_time=421.60m eta=22334.4m
+[2025-02-19 22:32:27,421] INFO: Breaking due to stale epochs: 6
+[2025-02-19 22:32:27,421] INFO: Breaking due to stale epochs: 6
+[2025-02-19 22:32:27,421] INFO: Training completed. Total time on device 0: 20616.336min
+[2025-02-19 22:32:27,421] INFO: Training completed. Total time on device 0: 20616.336min
+[2025-02-19 22:32:44,584] INFO: split_configs=[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
+[2025-02-19 22:32:44,584] INFO: split_configs=[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
+[2025-02-19 22:32:44,765] INFO: test_dataset: cld_edm_ttbar_pf, 5000
+[2025-02-19 22:32:44,765] INFO: test_dataset: cld_edm_ttbar_pf, 5000
+[2025-02-19 22:32:44,867] INFO: Running predictions on cld_edm_ttbar_pf
+[2025-02-19 22:32:44,867] INFO: Running predictions on cld_edm_ttbar_pf
+[2025-02-19 22:32:53,838] INFO: Saved predictions at /pfvolcentral/experiments/Feb5_scratch_4M_pyg-cld_20250205_145601_936593/preds_best_weights/cld_edm_ttbar_pf/pred_0_0.parquet
+[2025-02-19 22:32:53,838] INFO: Saved predictions at /pfvolcentral/experiments/Feb5_scratch_4M_pyg-cld_20250205_145601_936593/preds_best_weights/cld_edm_ttbar_pf/pred_0_0.parquet
+[2025-02-19 22:32:54,845] INFO: Saved predictions at /pfvolcentral/experiments/Feb5_scratch_4M_pyg-cld_20250205_145601_936593/preds_best_weights/cld_edm_ttbar_pf/pred_0_1.parquet
+[2025-02-19 22:32:54,845] INFO: Saved predictions at /pfvolcentral/experiments/Feb5_scratch_4M_pyg-cld_20250205_145601_936593/preds_best_weights/cld_edm_ttbar_pf/pred_0_1.parquet
+[2025-02-19 22:32:55,650] INFO: Saved predictions at /pfvolcentral/experiments/Feb5_scratch_4M_pyg-cld_20250205_145601_936593/preds_best_weights/cld_edm_ttbar_pf/pred_0_2.parquet
+[2025-02-19 22:32:55,650] INFO: Saved predictions at /pfvolcentral/experiments/Feb5_scratch_4M_pyg-cld_20250205_145601_936593/preds_best_weights/cld_edm_ttbar_pf/pred_0_2.parquet
+[2025-02-19 22:32:56,547] INFO: Saved predictions at /pfvolcentral/experiments/Feb5_scratch_4M_pyg-cld_20250205_145601_936593/preds_best_weights/cld_edm_ttbar_pf/pred_0_3.parquet
+[2025-02-19 22:32:56,547] INFO: Saved predictions at /pfvolcentral/experiments/Feb5_scratch_4M_pyg-cld_20250205_145601_936593/preds_best_weights/cld_edm_ttbar_pf/pred_0_3.parquet
+[2025-02-19 22:32:57,272] INFO: Saved predictions at /pfvolcentral/experiments/Feb5_scratch_4M_pyg-cld_20250205_145601_936593/preds_best_weights/cld_edm_ttbar_pf/pred_0_4.parquet
+[2025-02-19 22:32:57,272] INFO: Saved predictions at /pfvolcentral/experiments/Feb5_scratch_4M_pyg-cld_20250205_145601_936593/preds_best_weights/cld_edm_ttbar_pf/pred_0_4.parquet
+[2025-02-19 22:32:57,866] INFO: Saved predictions at /pfvolcentral/experiments/Feb5_scratch_4M_pyg-cld_20250205_145601_936593/preds_best_weights/cld_edm_ttbar_pf/pred_0_5.parquet
+[2025-02-19 22:32:57,866] INFO: Saved predictions at /pfvolcentral/experiments/Feb5_scratch_4M_pyg-cld_20250205_145601_936593/preds_best_weights/cld_edm_ttbar_pf/pred_0_5.parquet
+[2025-02-19 22:32:58,540] INFO: Saved predictions at /pfvolcentral/experiments/Feb5_scratch_4M_pyg-cld_20250205_145601_936593/preds_best_weights/cld_edm_ttbar_pf/pred_0_6.parquet
+[2025-02-19 22:32:58,540] INFO: Saved predictions at /pfvolcentral/experiments/Feb5_scratch_4M_pyg-cld_20250205_145601_936593/preds_best_weights/cld_edm_ttbar_pf/pred_0_6.parquet
+[2025-02-19 22:32:59,143] INFO: Saved predictions at /pfvolcentral/experiments/Feb5_scratch_4M_pyg-cld_20250205_145601_936593/preds_best_weights/cld_edm_ttbar_pf/pred_0_7.parquet
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+[2025-02-19 22:33:18,000] INFO: Time taken to make predictions on device 0 is: 0.54 min
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+[2025-02-19 22:33:18,004] INFO: Plotting distributions for cld_edm_ttbar_pf
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