sync: 2026-11-01 10:08 Dublin

v21seq/logs/run_ctl6_B_c23_0_1_2_3_4_5_6_7.out

@@ -0,0 +1,67 @@
+/workspace/venv_v17/lib/python3.13/site-packages/numpy/lib/_function_base_impl.py:4609: RuntimeWarning: invalid value encountered in subtract
+  diff_b_a = b - a
+prep (702680, 484) (702680, 241) 35 s
+/workspace/huawei/v21seq/seq21.py:74: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.norm_first was True
+  if a.slayers>0 and not a.noslate: s.sl=nn.TransformerEncoder(nn.TransformerEncoderLayer(tk,4,2*tk,0.1,batch_first=True,norm_first=True),a.slayers)
+seed0 ep0 63s auc 0.79355
+seed0 ep1 90s auc 0.79334
+seed0 ep2 117s auc 0.79732
+seed0 ep3 145s auc 0.79787
+seed0 ep4 171s auc 0.79826
+seed0 ep5 206s auc 0.79820
+/workspace/huawei/v21seq/seq21.py:74: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.norm_first was True
+  if a.slayers>0 and not a.noslate: s.sl=nn.TransformerEncoder(nn.TransformerEncoderLayer(tk,4,2*tk,0.1,batch_first=True,norm_first=True),a.slayers)
+seed1 ep0 234s auc 0.79473
+seed1 ep1 264s auc 0.79673
+seed1 ep2 290s auc 0.79757
+seed1 ep3 318s auc 0.79761
+seed1 ep4 348s auc 0.79804
+seed1 ep5 379s auc 0.79830
+/workspace/huawei/v21seq/seq21.py:74: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.norm_first was True
+  if a.slayers>0 and not a.noslate: s.sl=nn.TransformerEncoder(nn.TransformerEncoderLayer(tk,4,2*tk,0.1,batch_first=True,norm_first=True),a.slayers)
+seed2 ep0 409s auc 0.79441
+seed2 ep1 436s auc 0.79631
+seed2 ep2 463s auc 0.79632
+seed2 ep3 490s auc 0.79766
+seed2 ep4 517s auc 0.79842
+seed2 ep5 544s auc 0.79851
+/workspace/huawei/v21seq/seq21.py:74: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.norm_first was True
+  if a.slayers>0 and not a.noslate: s.sl=nn.TransformerEncoder(nn.TransformerEncoderLayer(tk,4,2*tk,0.1,batch_first=True,norm_first=True),a.slayers)
+seed3 ep0 575s auc 0.79598
+seed3 ep1 604s auc 0.79653
+seed3 ep2 635s auc 0.79772
+seed3 ep3 3047s auc 0.79790
+seed3 ep4 3076s auc 0.79844
+seed3 ep5 3105s auc 0.79852
+/workspace/huawei/v21seq/seq21.py:74: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.norm_first was True
+  if a.slayers>0 and not a.noslate: s.sl=nn.TransformerEncoder(nn.TransformerEncoderLayer(tk,4,2*tk,0.1,batch_first=True,norm_first=True),a.slayers)
+seed4 ep0 3134s auc 0.79556
+seed4 ep1 3162s auc 0.79627
+seed4 ep2 3189s auc 0.79756
+seed4 ep3 3215s auc 0.79784
+seed4 ep4 3244s auc 0.79824
+seed4 ep5 3271s auc 0.79843
+/workspace/huawei/v21seq/seq21.py:74: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.norm_first was True
+  if a.slayers>0 and not a.noslate: s.sl=nn.TransformerEncoder(nn.TransformerEncoderLayer(tk,4,2*tk,0.1,batch_first=True,norm_first=True),a.slayers)
+seed5 ep0 3299s auc 0.79150
+seed5 ep1 7635s auc 0.79574
+seed5 ep2 7670s auc 0.79752
+seed5 ep3 7701s auc 0.79782
+seed5 ep4 7734s auc 0.79841
+seed5 ep5 7767s auc 0.79847
+/workspace/huawei/v21seq/seq21.py:74: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.norm_first was True
+  if a.slayers>0 and not a.noslate: s.sl=nn.TransformerEncoder(nn.TransformerEncoderLayer(tk,4,2*tk,0.1,batch_first=True,norm_first=True),a.slayers)
+seed6 ep0 7801s auc 0.79432
+seed6 ep1 7835s auc 0.79645
+seed6 ep2 7865s auc 0.79720
+seed6 ep3 7898s auc 0.79787
+seed6 ep4 7932s auc 0.79794
+seed6 ep5 16878s auc 0.79841
+/workspace/huawei/v21seq/seq21.py:74: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.norm_first was True
+  if a.slayers>0 and not a.noslate: s.sl=nn.TransformerEncoder(nn.TransformerEncoderLayer(tk,4,2*tk,0.1,batch_first=True,norm_first=True),a.slayers)
+seed7 ep0 16912s auc 0.79405
+seed7 ep1 16944s auc 0.79707
+seed7 ep2 16976s auc 0.79715
+seed7 ep3 17009s auc 0.79795
+seed7 ep4 17041s auc 0.79854
+seed7 ep5 17075s auc 0.79857

v21seq/logs/seq_log.jsonl

@@ -69,3 +69,11 @@
 {"cut": 23, "tag": "ctl6", "var": "B", "seed": 1, "args": {"cut": 23, "tag": "ctl6", "var": "B", "enc": "din", "seeds": "0,1,2,3,4,5,6,7", "ep": 6, "hid": 512, "drop": 0.2, "d": 32, "hd": 64, "tok": 192, "slayers": 2, "edrop": 0.1, "aug": 0.0, "alpha": 0.3, "lr": 0.002, "elr": 0.001, "bs": 256, "noseq": true, "noslate": false, "maxtrain": 0}, "min": 2.9, "aucs": [0.7947334053640566, 0.7967282539814863, 0.7975728901918869, 0.7976141670853261, 0.7980400611147903, 0.7983049103086239]}
 {"cut": 25, "tag": "ctl6", "var": "B", "seed": 3, "args": {"cut": 25, "tag": "ctl6", "var": "B", "enc": "din", "seeds": "0,1,2,3,4,5,6,7", "ep": 6, "hid": 512, "drop": 0.2, "d": 32, "hd": 64, "tok": 192, "slayers": 2, "edrop": 0.1, "aug": 0.0, "alpha": 0.3, "lr": 0.002, "elr": 0.001, "bs": 256, "noseq": true, "noslate": false, "maxtrain": 0}, "min": 5.2, "aucs": [0.8160141194958995, 0.8176336826803989, 0.8174777908075024, 0.8182500872855158, 0.8187946109141623, 0.8188518665742068]}
 {"cut": 23, "tag": "ctl6", "var": "B", "seed": 2, "args": {"cut": 23, "tag": "ctl6", "var": "B", "enc": "din", "seeds": "0,1,2,3,4,5,6,7", "ep": 6, "hid": 512, "drop": 0.2, "d": 32, "hd": 64, "tok": 192, "slayers": 2, "edrop": 0.1, "aug": 0.0, "alpha": 0.3, "lr": 0.002, "elr": 0.001, "bs": 256, "noseq": true, "noslate": false, "maxtrain": 0}, "min": 2.7, "aucs": [0.7944104373039322, 0.7963083923309436, 0.796319075231903, 0.7976584362658002, 0.7984155682575813, 0.7985127056931982]}
+{"cut": 23, "tag": "ctl6", "var": "B", "seed": 3, "args": {"cut": 23, "tag": "ctl6", "var": "B", "enc": "din", "seeds": "0,1,2,3,4,5,6,7", "ep": 6, "hid": 512, "drop": 0.2, "d": 32, "hd": 64, "tok": 192, "slayers": 2, "edrop": 0.1, "aug": 0.0, "alpha": 0.3, "lr": 0.002, "elr": 0.001, "bs": 256, "noseq": true, "noslate": false, "maxtrain": 0}, "min": 42.7, "aucs": [0.7959767771215962, 0.7965344983896097, 0.7977228244787853, 0.7979015825290015, 0.7984412739511415, 0.7985165068194425]}
+{"cut": 25, "tag": "ctl6", "var": "B", "seed": 4, "args": {"cut": 25, "tag": "ctl6", "var": "B", "enc": "din", "seeds": "0,1,2,3,4,5,6,7", "ep": 6, "hid": 512, "drop": 0.2, "d": 32, "hd": 64, "tok": 192, "slayers": 2, "edrop": 0.1, "aug": 0.0, "alpha": 0.3, "lr": 0.002, "elr": 0.001, "bs": 256, "noseq": true, "noslate": false, "maxtrain": 0}, "min": 44.7, "aucs": [0.8159156485529286, 0.8162420670753336, 0.8180362812015778, 0.8184003261960642, 0.8189351342139175, 0.8189484566404255]}
+{"cut": 23, "tag": "ctl6", "var": "B", "seed": 4, "args": {"cut": 23, "tag": "ctl6", "var": "B", "enc": "din", "seeds": "0,1,2,3,4,5,6,7", "ep": 6, "hid": 512, "drop": 0.2, "d": 32, "hd": 64, "tok": 192, "slayers": 2, "edrop": 0.1, "aug": 0.0, "alpha": 0.3, "lr": 0.002, "elr": 0.001, "bs": 256, "noseq": true, "noslate": false, "maxtrain": 0}, "min": 2.8, "aucs": [0.7955608551571993, 0.7962747057556366, 0.7975624066351358, 0.7978442161677122, 0.7982390207603393, 0.7984291511060211]}
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+{"cut": 23, "tag": "ctl6", "var": "B", "seed": 6, "args": {"cut": 23, "tag": "ctl6", "var": "B", "enc": "din", "seeds": "0,1,2,3,4,5,6,7", "ep": 6, "hid": 512, "drop": 0.2, "d": 32, "hd": 64, "tok": 192, "slayers": 2, "edrop": 0.1, "aug": 0.0, "alpha": 0.3, "lr": 0.002, "elr": 0.001, "bs": 256, "noseq": true, "noslate": false, "maxtrain": 0}, "min": 151.8, "aucs": [0.7943249241000686, 0.7964464102303455, 0.7972012402061324, 0.797874165232963, 0.7979394943721871, 0.7984136270367364]}
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