Live Estimating enzyme shift in input file Current estimated shift: +4/-5 awk -v OFS="\t" '{if ($6=="+"){print $1,$2+0,$3,$4,$5,$6} else if ($6=="-") {print $1,$2,$3+1,$4,$5,$6}}' | sort -k1,1 | bedtools genomecov -bg -5 -i stdin -g /oak/stanford/groups/akundaje/soumyak/refs/hg38/GRCh38_EBV.chrom.sizes.tsv | LC_COLLATE="C" sort -k1,1 -k2,2n Making BedGraph (Filter chromosomes not in reference fasta) Making Bigwig non zero bigwig entries in the given chromosome: 139051 evaluating hyperparameters on the following chromosomes ['chr1', 'chr3', 'chr4', 'chr5', 'chr6', 'chr7', 'chr10', 'chr11', 'chr13', 'chr14', 'chr15', 'chr18', 'chr19', 'chr20', 'chr21', 'chr22', 'chrX', 'chrY', 'chr12', 'chr17'] Number of peaks input: 43754 Number of peaks filtered because the input/output is on the edge: 0 Number of peaks being used: 43754 Number of peaks input: 10789 Number of peaks filtered because the input/output is on the edge: 0 Number of peaks being used: 10789 Number of non peaks input: 87508 Number of non peaks filtered because the input/output is on the edge: 0 Number of non peaks being used: 87508 Number of non peaks input: 10789 Number of non peaks filtered because the input/output is on the edge: 0 Number of non peaks being used: 10789 Number of peaks after removing outliers: 43749 Number of nonpeaks after removing outliers: 35848 got the model Model: "functional_1" __________________________________________________________________________________________________ Layer (type) Output Shape Param # Connected to ================================================================================================== sequence (InputLayer) [(None, 2114, 4)] 0 [] bpnet_1st_conv (Conv1D) (None, 2094, 128) 10880 ['sequence[0][0]'] bpnet_1conv (Conv1D) (None, 2090, 128) 49280 ['bpnet_1st_conv[0][0]'] bpnet_1crop (Cropping1D) (None, 2090, 128) 0 ['bpnet_1st_conv[0][0]'] add (Add) (None, 2090, 128) 0 ['bpnet_1conv[0][0]', 'bpnet_1crop[0][0]'] bpnet_2conv (Conv1D) (None, 2082, 128) 49280 ['add[0][0]'] bpnet_2crop (Cropping1D) (None, 2082, 128) 0 ['add[0][0]'] add_1 (Add) (None, 2082, 128) 0 ['bpnet_2conv[0][0]', 'bpnet_2crop[0][0]'] bpnet_3conv (Conv1D) (None, 2066, 128) 49280 ['add_1[0][0]'] bpnet_3crop (Cropping1D) (None, 2066, 128) 0 ['add_1[0][0]'] add_2 (Add) (None, 2066, 128) 0 ['bpnet_3conv[0][0]', 'bpnet_3crop[0][0]'] bpnet_4conv (Conv1D) (None, 2034, 128) 49280 ['add_2[0][0]'] bpnet_4crop (Cropping1D) (None, 2034, 128) 0 ['add_2[0][0]'] add_3 (Add) (None, 2034, 128) 0 ['bpnet_4conv[0][0]', 'bpnet_4crop[0][0]'] prof_out_precrop (Conv1D) (None, 1960, 1) 9601 ['add_3[0][0]'] logits_profile_predictions_pre (None, 1000, 1) 0 ['prof_out_precrop[0][0]'] flatten (Cropping1D) gap (GlobalAveragePooling1D) (None, 128) 0 ['add_3[0][0]'] logits_profile_predictions (Fl (None, 1000) 0 ['logits_profile_predictions_pref atten) latten[0][0]'] logcount_predictions (Dense) (None, 1) 129 ['gap[0][0]'] ================================================================================================== Total params: 217,730 Trainable params: 217,730 Non-trainable params: 0 __________________________________________________________________________________________________ Predicting within adjust counts 1/1121 [..............................] - ETA: 41:46 9/1121 [..............................] - ETA: 7s  16/1121 [..............................] - ETA: 7s 23/1121 [..............................] - ETA: 7s 30/1121 [..............................] - ETA: 7s 37/1121 [..............................] - ETA: 7s 44/1121 [>.............................] - ETA: 7s 51/1121 [>.............................] - ETA: 7s 58/1121 [>.............................] - ETA: 7s 65/1121 [>.............................] - ETA: 7s 72/1121 [>.............................] - ETA: 7s 79/1121 [=>............................] - ETA: 7s 86/1121 [=>............................] - ETA: 7s 93/1121 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[==========================>...] - ETA: 0s 1031/1121 [==========================>...] - ETA: 0s 1038/1121 [==========================>...] - ETA: 0s 1045/1121 [==========================>...] - ETA: 0s 1052/1121 [===========================>..] - ETA: 0s 1059/1121 [===========================>..] - ETA: 0s 1066/1121 [===========================>..] - ETA: 0s 1073/1121 [===========================>..] - ETA: 0s 1080/1121 [===========================>..] - ETA: 0s 1087/1121 [============================>.] - ETA: 0s 1094/1121 [============================>.] - ETA: 0s 1101/1121 [============================>.] - ETA: 0s 1108/1121 [============================>.] - ETA: 0s 1115/1121 [============================>.] - ETA: 0s 1121/1121 [==============================] - ETA: 0s 1121/1121 [==============================] - 11s 7ms/step got the model loading peaks... got split:test for bed regions:(10789, 10) 0/169 100/169 Bias model pearsonr performance in peaks is: -0.03 {'counts_loss_weight': '1.0', 'filters': '512', 'n_dil_layers': '8', 'bias_model_path': '/oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/ameen_2022/K562_bias/ameen_2022.NC/fold_1/models/bias_model_scaled.h5', 'inputlen': '2114', 'outputlen': '1000', 'max_jitter': '500', 'chr_fold_path': '/oak/stanford/groups/akundaje/soumyak/refs/hg38/splits/fold_1.json', 'negative_sampling_ratio': '0.1'} got the model loading peaks... got split:train for bed regions:(38758, 10) loading nonpeaks... got split:train for bed regions:(31244, 10) loading peaks... got split:valid for bed regions:(4991, 10) loading nonpeaks... got split:valid for bed regions:(4604, 10) Epoch 1/50 1/667 [..............................] - ETA: 52:30 - loss: 51.4101 - logits_profile_predictions_loss: 50.3556 - logcount_predictions_loss: 1.0546 2/667 [..............................] - ETA: 3:18 - loss: 556.4737 - logits_profile_predictions_loss: 62.8584 - logcount_predictions_loss: 493.6153 3/667 [..............................] - ETA: 3:17 - loss: 390.1749 - logits_profile_predictions_loss: 60.6864 - logcount_predictions_loss: 329.4885 4/667 [..............................] - ETA: 3:16 - loss: 311.4205 - logits_profile_predictions_loss: 63.6936 - logcount_predictions_loss: 247.7269 5/667 [..............................] - ETA: 3:15 - loss: 266.2692 - logits_profile_predictions_loss: 67.5223 - logcount_predictions_loss: 198.7468 6/667 [..............................] - ETA: 3:15 - loss: 231.6142 - logits_profile_predictions_loss: 65.6771 - logcount_predictions_loss: 165.9371 7/667 [..............................] - ETA: 3:15 - loss: 208.4880 - logits_profile_predictions_loss: 65.9385 - logcount_predictions_loss: 142.5494 8/667 [..............................] - ETA: 3:14 - loss: 191.5858 - logits_profile_predictions_loss: 66.5470 - logcount_predictions_loss: 125.0387 9/667 [..............................] - ETA: 3:14 - loss: 177.6415 - logits_profile_predictions_loss: 66.2500 - logcount_predictions_loss: 111.3915 10/667 [..............................] - ETA: 3:13 - loss: 166.8974 - logits_profile_predictions_loss: 66.3879 - logcount_predictions_loss: 100.5094 11/667 [..............................] - ETA: 3:13 - loss: 158.5561 - logits_profile_predictions_loss: 66.9550 - logcount_predictions_loss: 91.6010  12/667 [..............................] - ETA: 3:13 - loss: 151.1655 - logits_profile_predictions_loss: 67.0006 - logcount_predictions_loss: 84.1649 13/667 [..............................] - ETA: 3:13 - loss: 145.1370 - logits_profile_predictions_loss: 67.2657 - logcount_predictions_loss: 77.8713 14/667 [..............................] - ETA: 3:12 - loss: 140.7806 - logits_profile_predictions_loss: 68.2590 - logcount_predictions_loss: 72.5216 15/667 [..............................] - ETA: 3:12 - loss: 135.9077 - logits_profile_predictions_loss: 68.0637 - logcount_predictions_loss: 67.8439 16/667 [..............................] - ETA: 3:12 - loss: 131.4322 - logits_profile_predictions_loss: 67.6967 - logcount_predictions_loss: 63.7354 17/667 [..............................] - ETA: 3:11 - loss: 127.6338 - logits_profile_predictions_loss: 67.5163 - logcount_predictions_loss: 60.1175 18/667 [..............................] - ETA: 3:11 - loss: 124.8307 - logits_profile_predictions_loss: 67.9056 - logcount_predictions_loss: 56.9251 19/667 [..............................] - ETA: 3:11 - loss: 122.2070 - logits_profile_predictions_loss: 68.1405 - logcount_predictions_loss: 54.0665 20/667 [..............................] - ETA: 3:10 - loss: 119.5237 - logits_profile_predictions_loss: 68.0405 - logcount_predictions_loss: 51.4831 21/667 [..............................] - ETA: 3:10 - loss: 117.2016 - logits_profile_predictions_loss: 68.0522 - logcount_predictions_loss: 49.1493 22/667 [..............................] - ETA: 3:10 - loss: 115.0145 - logits_profile_predictions_loss: 67.9960 - logcount_predictions_loss: 47.0185 23/667 [>.............................] - ETA: 3:10 - loss: 112.9138 - logits_profile_predictions_loss: 67.8433 - logcount_predictions_loss: 45.0705 24/667 [>.............................] - ETA: 3:09 - loss: 111.0001 - logits_profile_predictions_loss: 67.7114 - logcount_predictions_loss: 43.2886 25/667 [>.............................] - ETA: 3:09 - loss: 109.6717 - logits_profile_predictions_loss: 68.0064 - logcount_predictions_loss: 41.6653 26/667 [>.............................] - ETA: 3:09 - loss: 107.7719 - logits_profile_predictions_loss: 67.6314 - logcount_predictions_loss: 40.1405 27/667 [>.............................] - ETA: 3:08 - loss: 105.7372 - logits_profile_predictions_loss: 67.0229 - logcount_predictions_loss: 38.7144 28/667 [>.............................] - ETA: 3:08 - loss: 104.3742 - logits_profile_predictions_loss: 66.9603 - logcount_predictions_loss: 37.4139 29/667 [>.............................] - ETA: 3:08 - loss: 103.1649 - logits_profile_predictions_loss: 66.9610 - logcount_predictions_loss: 36.2039 30/667 [>.............................] - ETA: 3:08 - loss: 102.2931 - logits_profile_predictions_loss: 67.2059 - logcount_predictions_loss: 35.0872 31/667 [>.............................] - ETA: 3:07 - loss: 101.1485 - logits_profile_predictions_loss: 67.1202 - logcount_predictions_loss: 34.0283 32/667 [>.............................] - ETA: 3:07 - loss: 100.0398 - logits_profile_predictions_loss: 67.0025 - logcount_predictions_loss: 33.0373 33/667 [>.............................] - ETA: 3:07 - loss: 99.4260 - logits_profile_predictions_loss: 67.3073 - logcount_predictions_loss: 32.1188  34/667 [>.............................] - ETA: 3:06 - loss: 98.6223 - logits_profile_predictions_loss: 67.3747 - logcount_predictions_loss: 31.2475 35/667 [>.............................] - ETA: 3:06 - loss: 97.9109 - logits_profile_predictions_loss: 67.4828 - logcount_predictions_loss: 30.4281 36/667 [>.............................] - ETA: 3:06 - loss: 97.4583 - logits_profile_predictions_loss: 67.7923 - logcount_predictions_loss: 29.6660 37/667 [>.............................] - ETA: 3:05 - loss: 96.6215 - logits_profile_predictions_loss: 67.6964 - logcount_predictions_loss: 28.9251 38/667 [>.............................] - ETA: 3:05 - loss: 96.0023 - logits_profile_predictions_loss: 67.7715 - logcount_predictions_loss: 28.2309 39/667 [>.............................] - ETA: 3:05 - loss: 95.2315 - logits_profile_predictions_loss: 67.6705 - logcount_predictions_loss: 27.5610 40/667 [>.............................] - ETA: 3:05 - loss: 94.7354 - logits_profile_predictions_loss: 67.7977 - logcount_predictions_loss: 26.9376 41/667 [>.............................] - ETA: 3:04 - loss: 94.3941 - logits_profile_predictions_loss: 68.0404 - logcount_predictions_loss: 26.3537 42/667 [>.............................] - ETA: 3:04 - loss: 93.7119 - logits_profile_predictions_loss: 67.9330 - logcount_predictions_loss: 25.7789 43/667 [>.............................] - ETA: 3:04 - loss: 93.1757 - logits_profile_predictions_loss: 67.9383 - logcount_predictions_loss: 25.2374 44/667 [>.............................] - ETA: 3:03 - loss: 92.3497 - logits_profile_predictions_loss: 67.6473 - logcount_predictions_loss: 24.7024 45/667 [=>............................] - ETA: 3:03 - loss: 91.8627 - logits_profile_predictions_loss: 67.6566 - logcount_predictions_loss: 24.2062 46/667 [=>............................] - ETA: 3:03 - loss: 91.4749 - logits_profile_predictions_loss: 67.7395 - logcount_predictions_loss: 23.7354 47/667 [=>............................] - ETA: 3:02 - loss: 90.9917 - logits_profile_predictions_loss: 67.7130 - logcount_predictions_loss: 23.2786 48/667 [=>............................] - ETA: 3:02 - loss: 90.1884 - logits_profile_predictions_loss: 67.3606 - logcount_predictions_loss: 22.8278 49/667 [=>............................] - ETA: 3:02 - loss: 89.8484 - logits_profile_predictions_loss: 67.4334 - logcount_predictions_loss: 22.4150 50/667 [=>............................] - ETA: 3:02 - loss: 89.4090 - logits_profile_predictions_loss: 67.3970 - logcount_predictions_loss: 22.0120 51/667 [=>............................] - ETA: 3:01 - loss: 88.7806 - logits_profile_predictions_loss: 67.1646 - logcount_predictions_loss: 21.6160 52/667 [=>............................] - ETA: 3:01 - loss: 88.4784 - logits_profile_predictions_loss: 67.2294 - logcount_predictions_loss: 21.2490 53/667 [=>............................] - ETA: 3:01 - loss: 87.9645 - logits_profile_predictions_loss: 67.0797 - logcount_predictions_loss: 20.8849 54/667 [=>............................] - ETA: 3:00 - loss: 87.6133 - logits_profile_predictions_loss: 67.0720 - logcount_predictions_loss: 20.5413 55/667 [=>............................] - ETA: 3:00 - loss: 87.5080 - logits_profile_predictions_loss: 67.2886 - logcount_predictions_loss: 20.2194 56/667 [=>............................] - ETA: 3:00 - loss: 87.3173 - logits_profile_predictions_loss: 67.4105 - logcount_predictions_loss: 19.9068 57/667 [=>............................] - ETA: 2:59 - loss: 87.0703 - logits_profile_predictions_loss: 67.4689 - logcount_predictions_loss: 19.6014 58/667 [=>............................] - ETA: 2:59 - loss: 86.9201 - logits_profile_predictions_loss: 67.6109 - logcount_predictions_loss: 19.3093 59/667 [=>............................] - ETA: 2:59 - loss: 86.5842 - logits_profile_predictions_loss: 67.5623 - logcount_predictions_loss: 19.0219 60/667 [=>............................] - ETA: 2:59 - loss: 86.5643 - logits_profile_predictions_loss: 67.8077 - logcount_predictions_loss: 18.7566 61/667 [=>............................] - ETA: 2:58 - loss: 86.2654 - logits_profile_predictions_loss: 67.7782 - logcount_predictions_loss: 18.4873 62/667 [=>............................] - ETA: 2:58 - loss: 86.0629 - logits_profile_predictions_loss: 67.8333 - logcount_predictions_loss: 18.2297 63/667 [=>............................] - ETA: 2:58 - loss: 86.0561 - logits_profile_predictions_loss: 68.0665 - logcount_predictions_loss: 17.9896 64/667 [=>............................] - ETA: 2:57 - loss: 85.9743 - logits_profile_predictions_loss: 68.2206 - logcount_predictions_loss: 17.7536 65/667 [=>............................] - ETA: 2:57 - loss: 85.5686 - logits_profile_predictions_loss: 68.0577 - logcount_predictions_loss: 17.5109 66/667 [=>............................] - ETA: 2:57 - loss: 85.3651 - logits_profile_predictions_loss: 68.0836 - logcount_predictions_loss: 17.2815 67/667 [==>...........................] - ETA: 2:57 - loss: 85.0324 - logits_profile_predictions_loss: 67.9783 - logcount_predictions_loss: 17.0540 68/667 [==>...........................] - ETA: 2:56 - loss: 84.8139 - logits_profile_predictions_loss: 67.9760 - logcount_predictions_loss: 16.8379 69/667 [==>...........................] - ETA: 2:56 - loss: 84.5793 - logits_profile_predictions_loss: 67.9509 - logcount_predictions_loss: 16.6284 70/667 [==>...........................] - ETA: 2:56 - loss: 84.1831 - logits_profile_predictions_loss: 67.7663 - logcount_predictions_loss: 16.4167 71/667 [==>...........................] - ETA: 2:55 - loss: 84.0300 - logits_profile_predictions_loss: 67.8086 - logcount_predictions_loss: 16.2214 72/667 [==>...........................] - ETA: 2:55 - loss: 83.9318 - logits_profile_predictions_loss: 67.8979 - logcount_predictions_loss: 16.0339 73/667 [==>...........................] - ETA: 2:55 - loss: 83.9725 - logits_profile_predictions_loss: 68.1146 - logcount_predictions_loss: 15.8579 74/667 [==>...........................] - ETA: 2:54 - loss: 83.8542 - logits_profile_predictions_loss: 68.1780 - logcount_predictions_loss: 15.6762 75/667 [==>...........................] - ETA: 2:54 - loss: 83.7089 - logits_profile_predictions_loss: 68.2092 - logcount_predictions_loss: 15.4997 76/667 [==>...........................] - ETA: 2:54 - loss: 83.5963 - logits_profile_predictions_loss: 68.2685 - logcount_predictions_loss: 15.3277 77/667 [==>...........................] - ETA: 2:54 - loss: 83.3736 - logits_profile_predictions_loss: 68.2172 - logcount_predictions_loss: 15.1564 78/667 [==>...........................] - ETA: 2:53 - loss: 83.1026 - logits_profile_predictions_loss: 68.1173 - logcount_predictions_loss: 14.9853 79/667 [==>...........................] - ETA: 2:53 - loss: 82.9280 - logits_profile_predictions_loss: 68.1040 - logcount_predictions_loss: 14.8240 80/667 [==>...........................] - ETA: 2:53 - loss: 82.8580 - logits_profile_predictions_loss: 68.1889 - logcount_predictions_loss: 14.6690 81/667 [==>...........................] - ETA: 2:52 - loss: 82.7979 - logits_profile_predictions_loss: 68.2798 - logcount_predictions_loss: 14.5180 82/667 [==>...........................] - ETA: 2:52 - loss: 82.6674 - logits_profile_predictions_loss: 68.2992 - logcount_predictions_loss: 14.3682 83/667 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logits_profile_predictions_loss: 66.3444 - logcount_predictions_loss: 2.5256 666/667 [============================>.] - ETA: 0s - loss: 68.8998 - logits_profile_predictions_loss: 66.3766 - logcount_predictions_loss: 2.5232 667/667 [==============================] - ETA: 0s - loss: 68.8981 - logits_profile_predictions_loss: 66.3777 - logcount_predictions_loss: 2.5204 Epoch 1: val_loss improved from inf to 82.16206, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/ameen_2022/K562_bias/ameen_2022.NC/fold_1/models/chrombpnet.h5  667/667 [==============================] - 224s 329ms/step - loss: 68.8981 - logits_profile_predictions_loss: 66.3777 - logcount_predictions_loss: 2.5204 - val_loss: 82.1621 - val_logits_profile_predictions_loss: 81.2803 - val_logcount_predictions_loss: 0.8818 Epoch 2/50 1/667 [..............................] - ETA: 3:24 - loss: 74.8281 - logits_profile_predictions_loss: 74.0307 - logcount_predictions_loss: 0.7974 2/667 [..............................] - ETA: 3:15 - loss: 73.2954 - logits_profile_predictions_loss: 72.5500 - logcount_predictions_loss: 0.7454 3/667 [..............................] - ETA: 3:15 - loss: 73.9968 - logits_profile_predictions_loss: 73.2020 - logcount_predictions_loss: 0.7949 4/667 [..............................] - ETA: 3:15 - loss: 73.7863 - logits_profile_predictions_loss: 73.0357 - logcount_predictions_loss: 0.7506 5/667 [..............................] - ETA: 3:14 - loss: 71.0111 - logits_profile_predictions_loss: 70.2749 - logcount_predictions_loss: 0.7362 6/667 [..............................] - ETA: 3:14 - loss: 68.0114 - logits_profile_predictions_loss: 67.3046 - logcount_predictions_loss: 0.7068 7/667 [..............................] - ETA: 3:14 - loss: 68.2351 - logits_profile_predictions_loss: 67.5293 - logcount_predictions_loss: 0.7057 8/667 [..............................] - ETA: 3:13 - loss: 69.0765 - logits_profile_predictions_loss: 68.3684 - logcount_predictions_loss: 0.7081 9/667 [..............................] - ETA: 3:13 - loss: 69.5056 - logits_profile_predictions_loss: 68.8034 - logcount_predictions_loss: 0.7021 10/667 [..............................] - ETA: 3:13 - loss: 69.5105 - logits_profile_predictions_loss: 68.8027 - logcount_predictions_loss: 0.7077 11/667 [..............................] - ETA: 3:13 - loss: 69.7042 - logits_profile_predictions_loss: 68.9931 - logcount_predictions_loss: 0.7111 12/667 [..............................] - ETA: 3:12 - loss: 69.3968 - logits_profile_predictions_loss: 68.6904 - logcount_predictions_loss: 0.7064 13/667 [..............................] - ETA: 3:12 - loss: 68.4397 - logits_profile_predictions_loss: 67.7443 - logcount_predictions_loss: 0.6954 14/667 [..............................] - ETA: 3:12 - loss: 69.2054 - logits_profile_predictions_loss: 68.4908 - logcount_predictions_loss: 0.7147 15/667 [..............................] - ETA: 3:12 - loss: 68.3302 - logits_profile_predictions_loss: 67.6122 - logcount_predictions_loss: 0.7180 16/667 [..............................] - ETA: 3:11 - loss: 68.7229 - logits_profile_predictions_loss: 68.0017 - logcount_predictions_loss: 0.7212 17/667 [..............................] - ETA: 3:11 - loss: 68.6850 - logits_profile_predictions_loss: 67.9721 - logcount_predictions_loss: 0.7129 18/667 [..............................] - ETA: 3:11 - loss: 68.8999 - logits_profile_predictions_loss: 68.1721 - logcount_predictions_loss: 0.7277 19/667 [..............................] - ETA: 3:10 - loss: 68.3664 - logits_profile_predictions_loss: 67.6258 - logcount_predictions_loss: 0.7406 20/667 [..............................] - ETA: 3:10 - loss: 67.8836 - logits_profile_predictions_loss: 67.1533 - logcount_predictions_loss: 0.7303 22/667 [..............................] - ETA: 3:02 - loss: 67.8954 - logits_profile_predictions_loss: 67.1638 - logcount_predictions_loss: 0.7316 23/667 [>.............................] - ETA: 3:02 - loss: 67.9106 - logits_profile_predictions_loss: 67.1841 - logcount_predictions_loss: 0.7266 24/667 [>.............................] - ETA: 3:02 - loss: 67.1755 - logits_profile_predictions_loss: 66.4576 - logcount_predictions_loss: 0.7178 25/667 [>.............................] - ETA: 3:02 - loss: 66.9199 - logits_profile_predictions_loss: 66.2066 - logcount_predictions_loss: 0.7133 26/667 [>.............................] - ETA: 3:02 - loss: 66.6115 - logits_profile_predictions_loss: 65.9005 - logcount_predictions_loss: 0.7110 27/667 [>.............................] - ETA: 3:02 - loss: 66.7686 - logits_profile_predictions_loss: 66.0466 - logcount_predictions_loss: 0.7221 28/667 [>.............................] - ETA: 3:02 - loss: 67.0123 - logits_profile_predictions_loss: 66.2821 - logcount_predictions_loss: 0.7302 29/667 [>.............................] - ETA: 3:02 - loss: 67.1881 - logits_profile_predictions_loss: 66.4545 - logcount_predictions_loss: 0.7336 30/667 [>.............................] - ETA: 3:02 - loss: 67.0219 - logits_profile_predictions_loss: 66.2922 - logcount_predictions_loss: 0.7297 31/667 [>.............................] - ETA: 3:02 - loss: 67.3228 - logits_profile_predictions_loss: 66.5969 - logcount_predictions_loss: 0.7260 32/667 [>.............................] - ETA: 3:01 - loss: 67.2542 - logits_profile_predictions_loss: 66.5285 - logcount_predictions_loss: 0.7257 33/667 [>.............................] - ETA: 3:01 - loss: 67.6098 - logits_profile_predictions_loss: 66.8797 - logcount_predictions_loss: 0.7301 34/667 [>.............................] - ETA: 3:01 - loss: 67.8454 - logits_profile_predictions_loss: 67.1110 - logcount_predictions_loss: 0.7343 35/667 [>.............................] - ETA: 3:01 - loss: 67.9219 - logits_profile_predictions_loss: 67.1857 - logcount_predictions_loss: 0.7362 36/667 [>.............................] - ETA: 3:01 - loss: 67.6345 - logits_profile_predictions_loss: 66.9044 - logcount_predictions_loss: 0.7300 37/667 [>.............................] - ETA: 3:01 - loss: 67.3262 - logits_profile_predictions_loss: 66.6020 - logcount_predictions_loss: 0.7242 38/667 [>.............................] - ETA: 3:00 - loss: 67.4858 - logits_profile_predictions_loss: 66.7598 - logcount_predictions_loss: 0.7260 39/667 [>.............................] - ETA: 3:00 - loss: 67.3404 - logits_profile_predictions_loss: 66.6170 - logcount_predictions_loss: 0.7234 40/667 [>.............................] - ETA: 3:00 - loss: 67.3436 - logits_profile_predictions_loss: 66.6194 - logcount_predictions_loss: 0.7242 41/667 [>.............................] - ETA: 3:00 - loss: 67.4236 - logits_profile_predictions_loss: 66.7019 - logcount_predictions_loss: 0.7217 42/667 [>.............................] - ETA: 3:00 - loss: 67.5977 - logits_profile_predictions_loss: 66.8773 - logcount_predictions_loss: 0.7203 43/667 [>.............................] - ETA: 3:00 - loss: 67.4069 - logits_profile_predictions_loss: 66.6843 - logcount_predictions_loss: 0.7226 44/667 [>.............................] - ETA: 2:59 - loss: 67.4177 - logits_profile_predictions_loss: 66.6953 - logcount_predictions_loss: 0.7224 45/667 [=>............................] - ETA: 2:59 - loss: 67.4654 - logits_profile_predictions_loss: 66.7381 - logcount_predictions_loss: 0.7273 46/667 [=>............................] - ETA: 2:59 - loss: 67.3509 - logits_profile_predictions_loss: 66.6263 - logcount_predictions_loss: 0.7246 47/667 [=>............................] - ETA: 2:59 - loss: 67.7003 - logits_profile_predictions_loss: 66.9724 - logcount_predictions_loss: 0.7279 48/667 [=>............................] - ETA: 2:59 - loss: 67.9387 - logits_profile_predictions_loss: 67.2085 - logcount_predictions_loss: 0.7301 49/667 [=>............................] - ETA: 2:58 - loss: 67.9325 - logits_profile_predictions_loss: 67.2047 - logcount_predictions_loss: 0.7278 50/667 [=>............................] - ETA: 2:58 - loss: 67.9863 - logits_profile_predictions_loss: 67.2587 - logcount_predictions_loss: 0.7276 51/667 [=>............................] - ETA: 2:58 - loss: 67.9745 - logits_profile_predictions_loss: 67.2489 - logcount_predictions_loss: 0.7256 52/667 [=>............................] - ETA: 2:58 - loss: 68.0638 - logits_profile_predictions_loss: 67.3378 - logcount_predictions_loss: 0.7260 53/667 [=>............................] - ETA: 2:57 - loss: 68.1589 - logits_profile_predictions_loss: 67.4350 - logcount_predictions_loss: 0.7239 54/667 [=>............................] - ETA: 2:57 - loss: 67.7816 - logits_profile_predictions_loss: 67.0637 - logcount_predictions_loss: 0.7179 55/667 [=>............................] - ETA: 2:57 - loss: 67.8309 - logits_profile_predictions_loss: 67.1141 - logcount_predictions_loss: 0.7168 56/667 [=>............................] - ETA: 2:57 - loss: 67.7903 - logits_profile_predictions_loss: 67.0734 - logcount_predictions_loss: 0.7170 57/667 [=>............................] - ETA: 2:56 - loss: 67.6626 - logits_profile_predictions_loss: 66.9477 - logcount_predictions_loss: 0.7149 58/667 [=>............................] - ETA: 2:56 - loss: 67.4137 - logits_profile_predictions_loss: 66.7027 - logcount_predictions_loss: 0.7110 59/667 [=>............................] - ETA: 2:56 - loss: 67.1630 - logits_profile_predictions_loss: 66.4541 - logcount_predictions_loss: 0.7088 60/667 [=>............................] - ETA: 2:56 - loss: 67.1810 - logits_profile_predictions_loss: 66.4711 - logcount_predictions_loss: 0.7098 61/667 [=>............................] - ETA: 2:55 - loss: 67.0429 - logits_profile_predictions_loss: 66.3353 - logcount_predictions_loss: 0.7076 62/667 [=>............................] - ETA: 2:55 - loss: 67.1918 - logits_profile_predictions_loss: 66.4810 - logcount_predictions_loss: 0.7108 63/667 [=>............................] - ETA: 2:55 - loss: 67.0479 - logits_profile_predictions_loss: 66.3385 - logcount_predictions_loss: 0.7093 64/667 [=>............................] - ETA: 2:55 - loss: 67.1328 - logits_profile_predictions_loss: 66.4240 - logcount_predictions_loss: 0.7087 65/667 [=>............................] - ETA: 2:54 - loss: 66.9845 - logits_profile_predictions_loss: 66.2753 - logcount_predictions_loss: 0.7092 66/667 [=>............................] - ETA: 2:54 - loss: 66.9290 - logits_profile_predictions_loss: 66.2225 - logcount_predictions_loss: 0.7065 67/667 [==>...........................] - ETA: 2:54 - loss: 66.8975 - logits_profile_predictions_loss: 66.1936 - logcount_predictions_loss: 0.7039 68/667 [==>...........................] - ETA: 2:54 - loss: 66.7047 - logits_profile_predictions_loss: 66.0044 - logcount_predictions_loss: 0.7003 69/667 [==>...........................] - ETA: 2:53 - loss: 66.9021 - logits_profile_predictions_loss: 66.1993 - logcount_predictions_loss: 0.7027 70/667 [==>...........................] - ETA: 2:53 - loss: 66.8125 - logits_profile_predictions_loss: 66.1097 - logcount_predictions_loss: 0.7027 71/667 [==>...........................] - ETA: 2:53 - loss: 66.7919 - logits_profile_predictions_loss: 66.0903 - logcount_predictions_loss: 0.7016 72/667 [==>...........................] - ETA: 2:53 - loss: 66.8883 - logits_profile_predictions_loss: 66.1855 - logcount_predictions_loss: 0.7028 73/667 [==>...........................] - ETA: 2:52 - loss: 66.7519 - logits_profile_predictions_loss: 66.0519 - logcount_predictions_loss: 0.7000 74/667 [==>...........................] - ETA: 2:52 - loss: 66.6495 - logits_profile_predictions_loss: 65.9519 - logcount_predictions_loss: 0.6976 75/667 [==>...........................] - ETA: 2:52 - loss: 66.4303 - logits_profile_predictions_loss: 65.7342 - logcount_predictions_loss: 0.6961 76/667 [==>...........................] - ETA: 2:52 - loss: 66.4322 - logits_profile_predictions_loss: 65.7342 - logcount_predictions_loss: 0.6979 77/667 [==>...........................] - ETA: 2:51 - loss: 66.3894 - logits_profile_predictions_loss: 65.6931 - logcount_predictions_loss: 0.6962 78/667 [==>...........................] - ETA: 2:51 - loss: 66.3561 - logits_profile_predictions_loss: 65.6600 - logcount_predictions_loss: 0.6961 79/667 [==>...........................] - ETA: 2:51 - loss: 66.2892 - logits_profile_predictions_loss: 65.5938 - logcount_predictions_loss: 0.6954 80/667 [==>...........................] - ETA: 2:51 - loss: 66.2723 - logits_profile_predictions_loss: 65.5782 - logcount_predictions_loss: 0.6941 81/667 [==>...........................] - ETA: 2:50 - loss: 66.1768 - logits_profile_predictions_loss: 65.4833 - logcount_predictions_loss: 0.6935 82/667 [==>...........................] - ETA: 2:50 - loss: 66.1995 - logits_profile_predictions_loss: 65.5041 - logcount_predictions_loss: 0.6955 83/667 [==>...........................] - ETA: 2:50 - loss: 66.1229 - logits_profile_predictions_loss: 65.4259 - logcount_predictions_loss: 0.6970 84/667 [==>...........................] - ETA: 2:50 - loss: 66.0696 - logits_profile_predictions_loss: 65.3737 - logcount_predictions_loss: 0.6958 85/667 [==>...........................] - ETA: 2:49 - loss: 65.8886 - logits_profile_predictions_loss: 65.1942 - logcount_predictions_loss: 0.6944 86/667 [==>...........................] - ETA: 2:49 - loss: 65.9680 - logits_profile_predictions_loss: 65.2731 - logcount_predictions_loss: 0.6949 87/667 [==>...........................] - ETA: 2:49 - loss: 66.1105 - logits_profile_predictions_loss: 65.4163 - logcount_predictions_loss: 0.6943 88/667 [==>...........................] - ETA: 2:49 - loss: 66.0400 - logits_profile_predictions_loss: 65.3422 - logcount_predictions_loss: 0.6978 89/667 [===>..........................] - ETA: 2:48 - loss: 66.0766 - logits_profile_predictions_loss: 65.3784 - logcount_predictions_loss: 0.6982 90/667 [===>..........................] - ETA: 2:48 - loss: 66.0020 - logits_profile_predictions_loss: 65.3054 - logcount_predictions_loss: 0.6966 91/667 [===>..........................] - ETA: 2:48 - loss: 66.0467 - logits_profile_predictions_loss: 65.3496 - logcount_predictions_loss: 0.6971 92/667 [===>..........................] - ETA: 2:47 - loss: 66.1766 - logits_profile_predictions_loss: 65.4751 - logcount_predictions_loss: 0.7015 93/667 [===>..........................] - ETA: 2:47 - loss: 66.0980 - logits_profile_predictions_loss: 65.3930 - logcount_predictions_loss: 0.7049 94/667 [===>..........................] - ETA: 2:47 - loss: 66.0472 - logits_profile_predictions_loss: 65.3398 - logcount_predictions_loss: 0.7074 95/667 [===>..........................] - ETA: 2:47 - loss: 66.0632 - logits_profile_predictions_loss: 65.3542 - logcount_predictions_loss: 0.7090 96/667 [===>..........................] - ETA: 2:46 - loss: 66.1735 - logits_profile_predictions_loss: 65.4624 - logcount_predictions_loss: 0.7111 97/667 [===>..........................] - ETA: 2:46 - loss: 66.1371 - logits_profile_predictions_loss: 65.4257 - logcount_predictions_loss: 0.7113 98/667 [===>..........................] - ETA: 2:46 - loss: 66.1547 - logits_profile_predictions_loss: 65.4445 - logcount_predictions_loss: 0.7102 99/667 [===>..........................] - ETA: 2:46 - loss: 66.1585 - logits_profile_predictions_loss: 65.4502 - logcount_predictions_loss: 0.7084 100/667 [===>..........................] - ETA: 2:45 - loss: 65.9344 - logits_profile_predictions_loss: 65.2252 - logcount_predictions_loss: 0.7091 101/667 [===>..........................] - ETA: 2:45 - loss: 65.8067 - logits_profile_predictions_loss: 65.0974 - logcount_predictions_loss: 0.7093 102/667 [===>..........................] - ETA: 2:45 - loss: 65.9016 - logits_profile_predictions_loss: 65.1897 - logcount_predictions_loss: 0.7119 103/667 [===>..........................] - ETA: 2:44 - loss: 65.8496 - logits_profile_predictions_loss: 65.1387 - logcount_predictions_loss: 0.7110 104/667 [===>..........................] - ETA: 2:44 - loss: 65.8793 - logits_profile_predictions_loss: 65.1650 - logcount_predictions_loss: 0.7142 105/667 [===>..........................] - ETA: 2:44 - loss: 65.9269 - logits_profile_predictions_loss: 65.2113 - logcount_predictions_loss: 0.7156 106/667 [===>..........................] - ETA: 2:44 - loss: 65.8637 - logits_profile_predictions_loss: 65.1500 - logcount_predictions_loss: 0.7137 107/667 [===>..........................] - ETA: 2:43 - loss: 65.9167 - logits_profile_predictions_loss: 65.2022 - logcount_predictions_loss: 0.7145 108/667 [===>..........................] - ETA: 2:43 - loss: 65.9541 - logits_profile_predictions_loss: 65.2376 - logcount_predictions_loss: 0.7164 109/667 [===>..........................] - ETA: 2:43 - loss: 66.0119 - logits_profile_predictions_loss: 65.2922 - logcount_predictions_loss: 0.7197 110/667 [===>..........................] - ETA: 2:42 - loss: 65.8912 - logits_profile_predictions_loss: 65.1698 - logcount_predictions_loss: 0.7214 111/667 [===>..........................] - ETA: 2:42 - loss: 65.8161 - logits_profile_predictions_loss: 65.0956 - logcount_predictions_loss: 0.7205 112/667 [====>.........................] - ETA: 2:42 - loss: 65.8023 - logits_profile_predictions_loss: 65.0815 - logcount_predictions_loss: 0.7209 113/667 [====>.........................] - ETA: 2:42 - loss: 65.8466 - logits_profile_predictions_loss: 65.1244 - logcount_predictions_loss: 0.7222 114/667 [====>.........................] - ETA: 2:41 - loss: 65.8644 - logits_profile_predictions_loss: 65.1421 - logcount_predictions_loss: 0.7223 115/667 [====>.........................] - ETA: 2:41 - loss: 66.0216 - logits_profile_predictions_loss: 65.2962 - logcount_predictions_loss: 0.7254 116/667 [====>.........................] - ETA: 2:41 - loss: 66.0290 - logits_profile_predictions_loss: 65.3030 - logcount_predictions_loss: 0.7261 117/667 [====>.........................] - ETA: 2:40 - loss: 66.0240 - logits_profile_predictions_loss: 65.2974 - logcount_predictions_loss: 0.7266 118/667 [====>.........................] - ETA: 2:40 - loss: 65.9776 - logits_profile_predictions_loss: 65.2516 - logcount_predictions_loss: 0.7260 119/667 [====>.........................] - ETA: 2:40 - loss: 66.1379 - logits_profile_predictions_loss: 65.4097 - logcount_predictions_loss: 0.7282 120/667 [====>.........................] - ETA: 2:40 - loss: 66.0958 - logits_profile_predictions_loss: 65.3687 - logcount_predictions_loss: 0.7271 121/667 [====>.........................] - ETA: 2:39 - loss: 66.0618 - logits_profile_predictions_loss: 65.3344 - logcount_predictions_loss: 0.7273 122/667 [====>.........................] - ETA: 2:39 - loss: 65.9632 - logits_profile_predictions_loss: 65.2363 - logcount_predictions_loss: 0.7269 123/667 [====>.........................] - ETA: 2:39 - loss: 66.0189 - logits_profile_predictions_loss: 65.2922 - logcount_predictions_loss: 0.7267 124/667 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logits_profile_predictions_loss: 63.8610 - logcount_predictions_loss: 0.5642 Epoch 3: val_loss improved from 80.69188 to 79.86715, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/ameen_2022/K562_bias/ameen_2022.NC/fold_1/models/chrombpnet.h5  667/667 [==============================] - 218s 327ms/step - loss: 64.4253 - logits_profile_predictions_loss: 63.8610 - logcount_predictions_loss: 0.5642 - val_loss: 79.8671 - val_logits_profile_predictions_loss: 79.2802 - val_logcount_predictions_loss: 0.5870 Epoch 4/50 1/667 [..............................] - ETA: 3:24 - loss: 52.1603 - logits_profile_predictions_loss: 51.7314 - logcount_predictions_loss: 0.4289 2/667 [..............................] - ETA: 3:15 - loss: 56.4700 - logits_profile_predictions_loss: 55.9692 - logcount_predictions_loss: 0.5009 3/667 [..............................] - ETA: 3:15 - loss: 57.4287 - logits_profile_predictions_loss: 56.9561 - logcount_predictions_loss: 0.4726 4/667 [..............................] - ETA: 3:15 - loss: 58.6974 - logits_profile_predictions_loss: 58.1967 - logcount_predictions_loss: 0.5006 5/667 [..............................] - ETA: 3:14 - loss: 60.5314 - logits_profile_predictions_loss: 60.0521 - logcount_predictions_loss: 0.4793 6/667 [..............................] - ETA: 3:14 - loss: 62.0314 - logits_profile_predictions_loss: 61.5296 - logcount_predictions_loss: 0.5018 7/667 [..............................] - ETA: 3:14 - loss: 62.2218 - logits_profile_predictions_loss: 61.7202 - logcount_predictions_loss: 0.5016 8/667 [..............................] - ETA: 3:13 - loss: 62.5151 - logits_profile_predictions_loss: 62.0063 - logcount_predictions_loss: 0.5088 9/667 [..............................] - ETA: 3:13 - loss: 62.8443 - logits_profile_predictions_loss: 62.3218 - logcount_predictions_loss: 0.5225 10/667 [..............................] - ETA: 3:13 - loss: 62.4057 - logits_profile_predictions_loss: 61.8935 - 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[>.............................] - ETA: 3:07 - loss: 63.2407 - logits_profile_predictions_loss: 62.7178 - logcount_predictions_loss: 0.5228 32/667 [>.............................] - ETA: 3:07 - loss: 63.2074 - logits_profile_predictions_loss: 62.6822 - logcount_predictions_loss: 0.5252 33/667 [>.............................] - ETA: 3:06 - loss: 63.9682 - logits_profile_predictions_loss: 63.4406 - logcount_predictions_loss: 0.5276 34/667 [>.............................] - ETA: 3:06 - loss: 64.0263 - logits_profile_predictions_loss: 63.4954 - logcount_predictions_loss: 0.5309 35/667 [>.............................] - ETA: 3:06 - loss: 64.1277 - logits_profile_predictions_loss: 63.5851 - logcount_predictions_loss: 0.5427 36/667 [>.............................] - ETA: 3:05 - loss: 63.9326 - logits_profile_predictions_loss: 63.3804 - logcount_predictions_loss: 0.5522 37/667 [>.............................] - ETA: 3:05 - loss: 64.3812 - logits_profile_predictions_loss: 63.8265 - 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[=>............................] - ETA: 2:59 - loss: 64.2884 - logits_profile_predictions_loss: 63.7148 - logcount_predictions_loss: 0.5736 59/667 [=>............................] - ETA: 2:59 - loss: 64.2327 - logits_profile_predictions_loss: 63.6588 - logcount_predictions_loss: 0.5738 60/667 [=>............................] - ETA: 2:58 - loss: 64.2065 - logits_profile_predictions_loss: 63.6347 - logcount_predictions_loss: 0.5718 61/667 [=>............................] - ETA: 2:58 - loss: 64.2616 - logits_profile_predictions_loss: 63.6890 - logcount_predictions_loss: 0.5726 62/667 [=>............................] - ETA: 2:58 - loss: 64.2320 - logits_profile_predictions_loss: 63.6613 - logcount_predictions_loss: 0.5707 63/667 [=>............................] - ETA: 2:57 - loss: 64.3111 - logits_profile_predictions_loss: 63.7402 - logcount_predictions_loss: 0.5708 64/667 [=>............................] - ETA: 2:57 - loss: 64.4533 - logits_profile_predictions_loss: 63.8850 - 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[==>...........................] - ETA: 2:51 - loss: 64.8241 - logits_profile_predictions_loss: 64.2661 - logcount_predictions_loss: 0.5580 86/667 [==>...........................] - ETA: 2:51 - loss: 64.8563 - logits_profile_predictions_loss: 64.2996 - logcount_predictions_loss: 0.5567 87/667 [==>...........................] - ETA: 2:50 - loss: 64.7398 - logits_profile_predictions_loss: 64.1849 - logcount_predictions_loss: 0.5549 88/667 [==>...........................] - ETA: 2:50 - loss: 64.8505 - logits_profile_predictions_loss: 64.2951 - logcount_predictions_loss: 0.5554 89/667 [===>..........................] - ETA: 2:50 - loss: 64.7336 - logits_profile_predictions_loss: 64.1775 - logcount_predictions_loss: 0.5561 90/667 [===>..........................] - ETA: 2:50 - loss: 64.7540 - logits_profile_predictions_loss: 64.1971 - logcount_predictions_loss: 0.5569 91/667 [===>..........................] - ETA: 2:49 - loss: 64.7242 - logits_profile_predictions_loss: 64.1674 - 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logcount_predictions_loss: 0.5350 662/667 [============================>.] - ETA: 1s - loss: 63.9039 - logits_profile_predictions_loss: 63.3687 - logcount_predictions_loss: 0.5352 663/667 [============================>.] - ETA: 1s - loss: 63.9050 - logits_profile_predictions_loss: 63.3698 - logcount_predictions_loss: 0.5352 664/667 [============================>.] - ETA: 0s - loss: 63.9172 - logits_profile_predictions_loss: 63.3821 - logcount_predictions_loss: 0.5351 665/667 [============================>.] - ETA: 0s - loss: 63.9198 - logits_profile_predictions_loss: 63.3849 - logcount_predictions_loss: 0.5348 666/667 [============================>.] - ETA: 0s - loss: 63.9144 - logits_profile_predictions_loss: 63.3797 - logcount_predictions_loss: 0.5347 667/667 [==============================] - ETA: 0s - loss: 63.9116 - logits_profile_predictions_loss: 63.3772 - logcount_predictions_loss: 0.5344 Epoch 4: val_loss improved from 79.86715 to 79.75497, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/ameen_2022/K562_bias/ameen_2022.NC/fold_1/models/chrombpnet.h5  667/667 [==============================] - 218s 327ms/step - loss: 63.9116 - logits_profile_predictions_loss: 63.3772 - logcount_predictions_loss: 0.5344 - val_loss: 79.7550 - val_logits_profile_predictions_loss: 79.1661 - val_logcount_predictions_loss: 0.5889 Epoch 5/50 1/667 [..............................] - ETA: 3:29 - loss: 52.3076 - logits_profile_predictions_loss: 51.8454 - logcount_predictions_loss: 0.4621 2/667 [..............................] - ETA: 3:15 - loss: 62.3880 - logits_profile_predictions_loss: 61.9082 - logcount_predictions_loss: 0.4798 3/667 [..............................] - ETA: 3:15 - loss: 61.5788 - logits_profile_predictions_loss: 61.0901 - logcount_predictions_loss: 0.4887 4/667 [..............................] - ETA: 3:15 - loss: 63.0099 - logits_profile_predictions_loss: 62.5014 - logcount_predictions_loss: 0.5085 5/667 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[==============================] - 218s 326ms/step - loss: 63.5333 - logits_profile_predictions_loss: 63.0504 - logcount_predictions_loss: 0.4828 - val_loss: 79.7347 - val_logits_profile_predictions_loss: 79.2485 - val_logcount_predictions_loss: 0.4861 Epoch 6/50 1/667 [..............................] - ETA: 3:23 - loss: 62.4836 - logits_profile_predictions_loss: 61.9912 - logcount_predictions_loss: 0.4924 2/667 [..............................] - ETA: 3:15 - loss: 65.3486 - logits_profile_predictions_loss: 64.8505 - logcount_predictions_loss: 0.4981 3/667 [..............................] - ETA: 3:15 - loss: 66.8785 - logits_profile_predictions_loss: 66.3876 - logcount_predictions_loss: 0.4909 4/667 [..............................] - ETA: 3:15 - loss: 65.5075 - logits_profile_predictions_loss: 65.0452 - logcount_predictions_loss: 0.4623 5/667 [..............................] - ETA: 3:14 - loss: 64.1989 - logits_profile_predictions_loss: 63.7576 - logcount_predictions_loss: 0.4413 6/667 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[============================>.] - ETA: 2s - loss: 63.2978 - logits_profile_predictions_loss: 62.8264 - logcount_predictions_loss: 0.4714 658/667 [============================>.] - ETA: 2s - loss: 63.3000 - logits_profile_predictions_loss: 62.8287 - logcount_predictions_loss: 0.4713 659/667 [============================>.] - ETA: 2s - loss: 63.2964 - logits_profile_predictions_loss: 62.8252 - logcount_predictions_loss: 0.4712 660/667 [============================>.] - ETA: 2s - loss: 63.2924 - logits_profile_predictions_loss: 62.8213 - logcount_predictions_loss: 0.4711 661/667 [============================>.] - ETA: 1s - loss: 63.2862 - logits_profile_predictions_loss: 62.8151 - logcount_predictions_loss: 0.4711 662/667 [============================>.] - ETA: 1s - loss: 63.2802 - logits_profile_predictions_loss: 62.8093 - logcount_predictions_loss: 0.4709 663/667 [============================>.] - ETA: 1s - loss: 63.2756 - logits_profile_predictions_loss: 62.8047 - logcount_predictions_loss: 0.4709 664/667 [============================>.] - ETA: 0s - loss: 63.2712 - logits_profile_predictions_loss: 62.8004 - logcount_predictions_loss: 0.4707 665/667 [============================>.] - ETA: 0s - loss: 63.2723 - logits_profile_predictions_loss: 62.8018 - logcount_predictions_loss: 0.4704 666/667 [============================>.] - ETA: 0s - loss: 63.2580 - logits_profile_predictions_loss: 62.7877 - logcount_predictions_loss: 0.4702 667/667 [==============================] - ETA: 0s - loss: 63.2686 - logits_profile_predictions_loss: 62.7983 - logcount_predictions_loss: 0.4703 Epoch 6: val_loss improved from 79.73467 to 79.54640, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/ameen_2022/K562_bias/ameen_2022.NC/fold_1/models/chrombpnet.h5  667/667 [==============================] - 218s 327ms/step - loss: 63.2686 - logits_profile_predictions_loss: 62.7983 - logcount_predictions_loss: 0.4703 - val_loss: 79.5464 - val_logits_profile_predictions_loss: 79.0854 - val_logcount_predictions_loss: 0.4610 Epoch 7/50 1/667 [..............................] - ETA: 3:24 - loss: 63.3216 - logits_profile_predictions_loss: 62.9293 - logcount_predictions_loss: 0.3924 2/667 [..............................] - ETA: 3:15 - loss: 64.4246 - logits_profile_predictions_loss: 64.0445 - logcount_predictions_loss: 0.3801 3/667 [..............................] - ETA: 3:15 - loss: 63.1682 - logits_profile_predictions_loss: 62.7650 - logcount_predictions_loss: 0.4031 4/667 [..............................] - ETA: 3:15 - loss: 64.8830 - logits_profile_predictions_loss: 64.4771 - logcount_predictions_loss: 0.4059 5/667 [..............................] - ETA: 3:14 - loss: 63.3180 - logits_profile_predictions_loss: 62.8989 - logcount_predictions_loss: 0.4191 6/667 [..............................] - ETA: 3:14 - loss: 63.2513 - logits_profile_predictions_loss: 62.8308 - logcount_predictions_loss: 0.4204 7/667 [..............................] - ETA: 3:14 - loss: 63.2375 - logits_profile_predictions_loss: 62.8117 - logcount_predictions_loss: 0.4258 8/667 [..............................] - ETA: 3:13 - loss: 62.8553 - logits_profile_predictions_loss: 62.4210 - logcount_predictions_loss: 0.4342 9/667 [..............................] - ETA: 3:13 - loss: 61.3432 - logits_profile_predictions_loss: 60.9182 - logcount_predictions_loss: 0.4249 10/667 [..............................] - ETA: 3:13 - loss: 63.0271 - logits_profile_predictions_loss: 62.5899 - logcount_predictions_loss: 0.4372 11/667 [..............................] - ETA: 3:13 - loss: 64.6005 - logits_profile_predictions_loss: 64.1588 - logcount_predictions_loss: 0.4417 12/667 [..............................] - ETA: 3:12 - loss: 64.6727 - logits_profile_predictions_loss: 64.2338 - logcount_predictions_loss: 0.4389 13/667 [..............................] - ETA: 3:12 - loss: 65.0555 - logits_profile_predictions_loss: 64.5886 - 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[>.............................] - ETA: 3:06 - loss: 64.3479 - logits_profile_predictions_loss: 63.8872 - logcount_predictions_loss: 0.4607 35/667 [>.............................] - ETA: 3:06 - loss: 64.6672 - logits_profile_predictions_loss: 64.2107 - logcount_predictions_loss: 0.4565 36/667 [>.............................] - ETA: 3:05 - loss: 64.9223 - logits_profile_predictions_loss: 64.4611 - logcount_predictions_loss: 0.4612 37/667 [>.............................] - ETA: 3:05 - loss: 65.1088 - logits_profile_predictions_loss: 64.6479 - logcount_predictions_loss: 0.4609 38/667 [>.............................] - ETA: 3:05 - loss: 65.0268 - logits_profile_predictions_loss: 64.5618 - logcount_predictions_loss: 0.4650 39/667 [>.............................] - ETA: 3:04 - loss: 65.2287 - logits_profile_predictions_loss: 64.7652 - logcount_predictions_loss: 0.4634 40/667 [>.............................] - ETA: 3:04 - loss: 65.4442 - logits_profile_predictions_loss: 64.9712 - 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[=>............................] - ETA: 2:58 - loss: 64.5431 - logits_profile_predictions_loss: 64.0469 - logcount_predictions_loss: 0.4962 62/667 [=>............................] - ETA: 2:58 - loss: 64.5074 - logits_profile_predictions_loss: 64.0113 - logcount_predictions_loss: 0.4961 63/667 [=>............................] - ETA: 2:57 - loss: 64.6258 - logits_profile_predictions_loss: 64.1316 - logcount_predictions_loss: 0.4942 64/667 [=>............................] - ETA: 2:57 - loss: 64.7596 - logits_profile_predictions_loss: 64.2651 - logcount_predictions_loss: 0.4944 65/667 [=>............................] - ETA: 2:57 - loss: 64.7873 - logits_profile_predictions_loss: 64.2896 - logcount_predictions_loss: 0.4977 66/667 [=>............................] - ETA: 2:57 - loss: 64.8395 - logits_profile_predictions_loss: 64.3413 - logcount_predictions_loss: 0.4982 67/667 [==>...........................] - ETA: 2:56 - loss: 64.9013 - logits_profile_predictions_loss: 64.4038 - 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ETA: 2:52 - loss: 64.3226 - logits_profile_predictions_loss: 63.8091 - logcount_predictions_loss: 0.5135 82/667 [==>...........................] - ETA: 2:52 - loss: 64.2380 - logits_profile_predictions_loss: 63.7246 - logcount_predictions_loss: 0.5133 83/667 [==>...........................] - ETA: 2:52 - loss: 64.2431 - logits_profile_predictions_loss: 63.7304 - logcount_predictions_loss: 0.5127 84/667 [==>...........................] - ETA: 2:51 - loss: 64.1995 - logits_profile_predictions_loss: 63.6876 - logcount_predictions_loss: 0.5119 85/667 [==>...........................] - ETA: 2:51 - loss: 64.1150 - logits_profile_predictions_loss: 63.6039 - logcount_predictions_loss: 0.5111 86/667 [==>...........................] - ETA: 2:51 - loss: 64.0290 - logits_profile_predictions_loss: 63.5196 - logcount_predictions_loss: 0.5093 87/667 [==>...........................] - ETA: 2:50 - loss: 64.1134 - logits_profile_predictions_loss: 63.6054 - logcount_predictions_loss: 0.5081 88/667 [==>...........................] - ETA: 2:50 - loss: 64.1737 - logits_profile_predictions_loss: 63.6656 - logcount_predictions_loss: 0.5081 89/667 [===>..........................] - ETA: 2:50 - loss: 64.0376 - logits_profile_predictions_loss: 63.5307 - logcount_predictions_loss: 0.5069 90/667 [===>..........................] - ETA: 2:50 - loss: 64.0232 - logits_profile_predictions_loss: 63.5163 - logcount_predictions_loss: 0.5069 91/667 [===>..........................] - ETA: 2:49 - loss: 64.1804 - logits_profile_predictions_loss: 63.6728 - logcount_predictions_loss: 0.5076 92/667 [===>..........................] - ETA: 2:49 - loss: 64.0503 - logits_profile_predictions_loss: 63.5431 - logcount_predictions_loss: 0.5071 93/667 [===>..........................] - ETA: 2:49 - loss: 64.0905 - logits_profile_predictions_loss: 63.5845 - logcount_predictions_loss: 0.5060 94/667 [===>..........................] - ETA: 2:48 - loss: 64.0164 - logits_profile_predictions_loss: 63.5098 - logcount_predictions_loss: 0.5066 95/667 [===>..........................] - ETA: 2:48 - loss: 63.9801 - logits_profile_predictions_loss: 63.4745 - logcount_predictions_loss: 0.5057 96/667 [===>..........................] - ETA: 2:48 - loss: 63.8612 - logits_profile_predictions_loss: 63.3573 - logcount_predictions_loss: 0.5039 97/667 [===>..........................] - ETA: 2:47 - loss: 63.8989 - logits_profile_predictions_loss: 63.3959 - logcount_predictions_loss: 0.5030 98/667 [===>..........................] - ETA: 2:47 - loss: 63.8987 - logits_profile_predictions_loss: 63.3959 - logcount_predictions_loss: 0.5028 99/667 [===>..........................] - ETA: 2:47 - loss: 63.8947 - logits_profile_predictions_loss: 63.3921 - logcount_predictions_loss: 0.5026 100/667 [===>..........................] - ETA: 2:47 - loss: 63.8762 - logits_profile_predictions_loss: 63.3745 - logcount_predictions_loss: 0.5016 101/667 [===>..........................] - ETA: 2:46 - loss: 63.9132 - 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[===>..........................] - ETA: 2:44 - loss: 63.9115 - logits_profile_predictions_loss: 63.4087 - logcount_predictions_loss: 0.5027 109/667 [===>..........................] - ETA: 2:44 - loss: 63.9290 - logits_profile_predictions_loss: 63.4266 - logcount_predictions_loss: 0.5023 110/667 [===>..........................] - ETA: 2:44 - loss: 64.0140 - logits_profile_predictions_loss: 63.5119 - logcount_predictions_loss: 0.5021 111/667 [===>..........................] - ETA: 2:43 - loss: 64.0036 - logits_profile_predictions_loss: 63.5024 - logcount_predictions_loss: 0.5012 112/667 [====>.........................] - ETA: 2:43 - loss: 64.0070 - logits_profile_predictions_loss: 63.5067 - logcount_predictions_loss: 0.5002 113/667 [====>.........................] - ETA: 2:43 - loss: 63.9933 - logits_profile_predictions_loss: 63.4950 - logcount_predictions_loss: 0.4982 114/667 [====>.........................] - ETA: 2:42 - loss: 64.0355 - logits_profile_predictions_loss: 63.5366 - 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4s - loss: 62.6111 - logits_profile_predictions_loss: 62.1486 - logcount_predictions_loss: 0.4626 652/667 [============================>.] - ETA: 4s - loss: 62.6028 - logits_profile_predictions_loss: 62.1403 - logcount_predictions_loss: 0.4626 653/667 [============================>.] - ETA: 4s - loss: 62.6044 - logits_profile_predictions_loss: 62.1421 - logcount_predictions_loss: 0.4624 654/667 [============================>.] - ETA: 3s - loss: 62.6137 - logits_profile_predictions_loss: 62.1514 - logcount_predictions_loss: 0.4624 655/667 [============================>.] - ETA: 3s - loss: 62.6204 - logits_profile_predictions_loss: 62.1581 - logcount_predictions_loss: 0.4623 656/667 [============================>.] - ETA: 3s - loss: 62.6231 - logits_profile_predictions_loss: 62.1610 - logcount_predictions_loss: 0.4622 657/667 [============================>.] - ETA: 2s - loss: 62.6181 - logits_profile_predictions_loss: 62.1562 - logcount_predictions_loss: 0.4620 658/667 [============================>.] - ETA: 2s - loss: 62.6072 - logits_profile_predictions_loss: 62.1454 - logcount_predictions_loss: 0.4619 659/667 [============================>.] - ETA: 2s - loss: 62.6147 - logits_profile_predictions_loss: 62.1529 - logcount_predictions_loss: 0.4618 660/667 [============================>.] - ETA: 2s - loss: 62.6037 - logits_profile_predictions_loss: 62.1418 - logcount_predictions_loss: 0.4620 661/667 [============================>.] - ETA: 1s - loss: 62.5912 - logits_profile_predictions_loss: 62.1292 - logcount_predictions_loss: 0.4621 662/667 [============================>.] - ETA: 1s - loss: 62.5682 - logits_profile_predictions_loss: 62.1064 - logcount_predictions_loss: 0.4619 663/667 [============================>.] - ETA: 1s - loss: 62.5673 - logits_profile_predictions_loss: 62.1053 - logcount_predictions_loss: 0.4620 664/667 [============================>.] - ETA: 0s - loss: 62.5687 - logits_profile_predictions_loss: 62.1067 - logcount_predictions_loss: 0.4620 665/667 [============================>.] - ETA: 0s - loss: 62.5826 - logits_profile_predictions_loss: 62.1206 - logcount_predictions_loss: 0.4620 666/667 [============================>.] - ETA: 0s - loss: 62.5839 - logits_profile_predictions_loss: 62.1218 - logcount_predictions_loss: 0.4622 667/667 [==============================] - ETA: 0s - loss: 62.5679 - logits_profile_predictions_loss: 62.1054 - logcount_predictions_loss: 0.4626 Epoch 7: val_loss did not improve from 79.54640  667/667 [==============================] - 217s 326ms/step - loss: 62.5679 - logits_profile_predictions_loss: 62.1054 - logcount_predictions_loss: 0.4626 - val_loss: 79.6471 - val_logits_profile_predictions_loss: 79.2127 - val_logcount_predictions_loss: 0.4344 Epoch 8/50 1/667 [..............................] - ETA: 3:27 - loss: 60.3251 - logits_profile_predictions_loss: 59.8501 - logcount_predictions_loss: 0.4750 2/667 [..............................] - ETA: 3:15 - loss: 64.9903 - logits_profile_predictions_loss: 64.5113 - logcount_predictions_loss: 0.4790 3/667 [..............................] - ETA: 3:15 - loss: 63.1903 - logits_profile_predictions_loss: 62.6659 - logcount_predictions_loss: 0.5243 4/667 [..............................] - ETA: 3:15 - loss: 58.9941 - logits_profile_predictions_loss: 58.5197 - logcount_predictions_loss: 0.4744 5/667 [..............................] - ETA: 3:14 - loss: 60.5387 - logits_profile_predictions_loss: 60.0453 - logcount_predictions_loss: 0.4934 6/667 [..............................] - ETA: 3:14 - loss: 61.1108 - logits_profile_predictions_loss: 60.6325 - logcount_predictions_loss: 0.4782 7/667 [..............................] - ETA: 3:14 - loss: 61.3984 - logits_profile_predictions_loss: 60.8988 - logcount_predictions_loss: 0.4996 8/667 [..............................] - ETA: 3:14 - loss: 62.4354 - logits_profile_predictions_loss: 61.9309 - logcount_predictions_loss: 0.5045 9/667 [..............................] - ETA: 3:13 - loss: 60.8845 - logits_profile_predictions_loss: 60.3886 - logcount_predictions_loss: 0.4959 10/667 [..............................] - ETA: 3:13 - loss: 61.5261 - logits_profile_predictions_loss: 61.0440 - logcount_predictions_loss: 0.4822 11/667 [..............................] - ETA: 3:13 - loss: 61.3278 - logits_profile_predictions_loss: 60.8365 - logcount_predictions_loss: 0.4913 12/667 [..............................] - ETA: 3:12 - loss: 61.6744 - logits_profile_predictions_loss: 61.1760 - logcount_predictions_loss: 0.4984 13/667 [..............................] - ETA: 3:12 - loss: 61.7669 - logits_profile_predictions_loss: 61.2682 - logcount_predictions_loss: 0.4987 14/667 [..............................] - ETA: 3:12 - loss: 61.7169 - logits_profile_predictions_loss: 61.2266 - logcount_predictions_loss: 0.4903 15/667 [..............................] - ETA: 3:12 - loss: 61.1313 - logits_profile_predictions_loss: 60.6227 - logcount_predictions_loss: 0.5086 16/667 [..............................] - ETA: 3:11 - loss: 61.2178 - logits_profile_predictions_loss: 60.7057 - logcount_predictions_loss: 0.5120 17/667 [..............................] - ETA: 3:11 - loss: 61.3755 - logits_profile_predictions_loss: 60.8671 - logcount_predictions_loss: 0.5085 18/667 [..............................] - ETA: 3:11 - loss: 61.3000 - logits_profile_predictions_loss: 60.7855 - logcount_predictions_loss: 0.5145 19/667 [..............................] - ETA: 3:10 - loss: 61.0864 - logits_profile_predictions_loss: 60.5700 - logcount_predictions_loss: 0.5165 20/667 [..............................] - ETA: 3:10 - loss: 61.1363 - logits_profile_predictions_loss: 60.6219 - logcount_predictions_loss: 0.5144 21/667 [..............................] - ETA: 3:10 - loss: 61.2876 - logits_profile_predictions_loss: 60.7767 - logcount_predictions_loss: 0.5110 22/667 [..............................] - ETA: 3:09 - loss: 61.8531 - 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logcount_predictions_loss: 0.4443 620/667 [==========================>...] - ETA: 13s - loss: 62.2485 - logits_profile_predictions_loss: 61.8042 - logcount_predictions_loss: 0.4444 621/667 [==========================>...] - ETA: 13s - loss: 62.2565 - logits_profile_predictions_loss: 61.8121 - logcount_predictions_loss: 0.4445 622/667 [==========================>...] - ETA: 13s - loss: 62.2447 - logits_profile_predictions_loss: 61.8000 - logcount_predictions_loss: 0.4447 623/667 [===========================>..] - ETA: 12s - loss: 62.2649 - logits_profile_predictions_loss: 61.8202 - logcount_predictions_loss: 0.4447 624/667 [===========================>..] - ETA: 12s - loss: 62.2682 - logits_profile_predictions_loss: 61.8235 - logcount_predictions_loss: 0.4448 625/667 [===========================>..] - ETA: 12s - loss: 62.2542 - logits_profile_predictions_loss: 61.8096 - logcount_predictions_loss: 0.4446 626/667 [===========================>..] - ETA: 12s - loss: 62.2473 - logits_profile_predictions_loss: 61.8027 - logcount_predictions_loss: 0.4446 627/667 [===========================>..] - ETA: 11s - loss: 62.2580 - logits_profile_predictions_loss: 61.8132 - logcount_predictions_loss: 0.4448 628/667 [===========================>..] - ETA: 11s - loss: 62.2534 - logits_profile_predictions_loss: 61.8088 - logcount_predictions_loss: 0.4447 629/667 [===========================>..] - ETA: 11s - loss: 62.2726 - logits_profile_predictions_loss: 61.8280 - logcount_predictions_loss: 0.4446 630/667 [===========================>..] - ETA: 10s - loss: 62.2529 - logits_profile_predictions_loss: 61.8084 - logcount_predictions_loss: 0.4445 631/667 [===========================>..] - ETA: 10s - loss: 62.2595 - logits_profile_predictions_loss: 61.8152 - logcount_predictions_loss: 0.4444 632/667 [===========================>..] - ETA: 10s - loss: 62.2757 - logits_profile_predictions_loss: 61.8312 - logcount_predictions_loss: 0.4446 633/667 [===========================>..] - ETA: 10s - loss: 62.2656 - logits_profile_predictions_loss: 61.8211 - logcount_predictions_loss: 0.4445 634/667 [===========================>..] - ETA: 9s - loss: 62.2664 - logits_profile_predictions_loss: 61.8221 - logcount_predictions_loss: 0.4444  635/667 [===========================>..] - ETA: 9s - loss: 62.2711 - logits_profile_predictions_loss: 61.8269 - logcount_predictions_loss: 0.4442 636/667 [===========================>..] - ETA: 9s - loss: 62.2747 - logits_profile_predictions_loss: 61.8305 - logcount_predictions_loss: 0.4442 637/667 [===========================>..] - ETA: 8s - loss: 62.2899 - logits_profile_predictions_loss: 61.8456 - logcount_predictions_loss: 0.4443 638/667 [===========================>..] - ETA: 8s - loss: 62.2893 - logits_profile_predictions_loss: 61.8452 - logcount_predictions_loss: 0.4442 639/667 [===========================>..] - ETA: 8s - loss: 62.2879 - logits_profile_predictions_loss: 61.8439 - logcount_predictions_loss: 0.4441 640/667 [===========================>..] - ETA: 7s - loss: 62.2849 - logits_profile_predictions_loss: 61.8410 - logcount_predictions_loss: 0.4439 641/667 [===========================>..] - ETA: 7s - loss: 62.2920 - logits_profile_predictions_loss: 61.8481 - logcount_predictions_loss: 0.4439 642/667 [===========================>..] - ETA: 7s - loss: 62.2922 - logits_profile_predictions_loss: 61.8485 - logcount_predictions_loss: 0.4438 643/667 [===========================>..] - ETA: 7s - loss: 62.2909 - logits_profile_predictions_loss: 61.8470 - logcount_predictions_loss: 0.4440 644/667 [===========================>..] - ETA: 6s - loss: 62.3062 - logits_profile_predictions_loss: 61.8624 - logcount_predictions_loss: 0.4438 645/667 [============================>.] - ETA: 6s - loss: 62.2989 - logits_profile_predictions_loss: 61.8551 - logcount_predictions_loss: 0.4438 646/667 [============================>.] - ETA: 6s - loss: 62.2958 - logits_profile_predictions_loss: 61.8523 - logcount_predictions_loss: 0.4436 647/667 [============================>.] - ETA: 5s - loss: 62.2967 - logits_profile_predictions_loss: 61.8534 - logcount_predictions_loss: 0.4434 648/667 [============================>.] - ETA: 5s - loss: 62.2867 - logits_profile_predictions_loss: 61.8435 - logcount_predictions_loss: 0.4432 649/667 [============================>.] - ETA: 5s - loss: 62.2734 - logits_profile_predictions_loss: 61.8303 - logcount_predictions_loss: 0.4431 650/667 [============================>.] - ETA: 5s - loss: 62.2833 - logits_profile_predictions_loss: 61.8403 - logcount_predictions_loss: 0.4431 651/667 [============================>.] - ETA: 4s - loss: 62.2897 - logits_profile_predictions_loss: 61.8468 - logcount_predictions_loss: 0.4429 652/667 [============================>.] - ETA: 4s - loss: 62.2850 - logits_profile_predictions_loss: 61.8424 - logcount_predictions_loss: 0.4427 653/667 [============================>.] - ETA: 4s - loss: 62.2755 - logits_profile_predictions_loss: 61.8329 - logcount_predictions_loss: 0.4426 654/667 [============================>.] - ETA: 3s - loss: 62.2841 - logits_profile_predictions_loss: 61.8415 - logcount_predictions_loss: 0.4427 655/667 [============================>.] - ETA: 3s - loss: 62.2728 - logits_profile_predictions_loss: 61.8303 - logcount_predictions_loss: 0.4425 656/667 [============================>.] - ETA: 3s - loss: 62.2612 - logits_profile_predictions_loss: 61.8188 - logcount_predictions_loss: 0.4425 657/667 [============================>.] - ETA: 2s - loss: 62.2452 - logits_profile_predictions_loss: 61.8028 - logcount_predictions_loss: 0.4424 658/667 [============================>.] - ETA: 2s - loss: 62.2392 - logits_profile_predictions_loss: 61.7968 - logcount_predictions_loss: 0.4425 659/667 [============================>.] - ETA: 2s - loss: 62.2558 - logits_profile_predictions_loss: 61.8133 - logcount_predictions_loss: 0.4425 660/667 [============================>.] - ETA: 2s - loss: 62.2545 - logits_profile_predictions_loss: 61.8119 - logcount_predictions_loss: 0.4426 661/667 [============================>.] - ETA: 1s - loss: 62.2468 - logits_profile_predictions_loss: 61.8042 - logcount_predictions_loss: 0.4426 662/667 [============================>.] - ETA: 1s - loss: 62.2517 - logits_profile_predictions_loss: 61.8094 - logcount_predictions_loss: 0.4423 663/667 [============================>.] - ETA: 1s - loss: 62.2529 - logits_profile_predictions_loss: 61.8107 - logcount_predictions_loss: 0.4423 664/667 [============================>.] - ETA: 0s - loss: 62.2607 - logits_profile_predictions_loss: 61.8185 - logcount_predictions_loss: 0.4423 665/667 [============================>.] - ETA: 0s - loss: 62.2441 - logits_profile_predictions_loss: 61.8020 - logcount_predictions_loss: 0.4421 666/667 [============================>.] - ETA: 0s - loss: 62.2423 - logits_profile_predictions_loss: 61.8003 - logcount_predictions_loss: 0.4420 667/667 [==============================] - ETA: 0s - loss: 62.2612 - logits_profile_predictions_loss: 61.8191 - logcount_predictions_loss: 0.4421 Epoch 8: val_loss did not improve from 79.54640  667/667 [==============================] - 217s 326ms/step - loss: 62.2612 - logits_profile_predictions_loss: 61.8191 - logcount_predictions_loss: 0.4421 - val_loss: 80.1166 - val_logits_profile_predictions_loss: 79.6825 - val_logcount_predictions_loss: 0.4341 Epoch 9/50 1/667 [..............................] - ETA: 3:24 - loss: 73.0041 - logits_profile_predictions_loss: 72.4139 - logcount_predictions_loss: 0.5902 2/667 [..............................] - ETA: 3:15 - loss: 66.0149 - logits_profile_predictions_loss: 65.4205 - logcount_predictions_loss: 0.5944 3/667 [..............................] - ETA: 3:15 - loss: 64.9843 - logits_profile_predictions_loss: 64.4516 - logcount_predictions_loss: 0.5327 4/667 [..............................] - ETA: 3:15 - loss: 63.9426 - logits_profile_predictions_loss: 63.4097 - logcount_predictions_loss: 0.5329 5/667 [..............................] - ETA: 3:14 - loss: 62.8586 - logits_profile_predictions_loss: 62.3503 - logcount_predictions_loss: 0.5083 6/667 [..............................] - ETA: 3:14 - loss: 63.6427 - logits_profile_predictions_loss: 63.1366 - logcount_predictions_loss: 0.5061 7/667 [..............................] - ETA: 3:14 - loss: 62.5741 - logits_profile_predictions_loss: 62.0848 - logcount_predictions_loss: 0.4893 8/667 [..............................] - ETA: 3:13 - loss: 61.3386 - logits_profile_predictions_loss: 60.8675 - logcount_predictions_loss: 0.4712 9/667 [..............................] - ETA: 3:13 - loss: 61.6537 - logits_profile_predictions_loss: 61.1916 - logcount_predictions_loss: 0.4621 10/667 [..............................] - ETA: 3:13 - loss: 60.3862 - logits_profile_predictions_loss: 59.9063 - logcount_predictions_loss: 0.4799 11/667 [..............................] - ETA: 3:13 - loss: 61.2241 - logits_profile_predictions_loss: 60.7462 - logcount_predictions_loss: 0.4780 12/667 [..............................] - ETA: 3:12 - loss: 61.2262 - logits_profile_predictions_loss: 60.7544 - logcount_predictions_loss: 0.4718 13/667 [..............................] - ETA: 3:12 - loss: 60.9725 - logits_profile_predictions_loss: 60.5025 - logcount_predictions_loss: 0.4701 14/667 [..............................] - ETA: 3:12 - loss: 60.8987 - logits_profile_predictions_loss: 60.4313 - logcount_predictions_loss: 0.4674 15/667 [..............................] - ETA: 3:11 - loss: 60.1162 - logits_profile_predictions_loss: 59.6554 - logcount_predictions_loss: 0.4608 16/667 [..............................] - ETA: 3:11 - loss: 59.8268 - logits_profile_predictions_loss: 59.3735 - logcount_predictions_loss: 0.4534 17/667 [..............................] - ETA: 3:11 - loss: 59.7178 - logits_profile_predictions_loss: 59.2674 - logcount_predictions_loss: 0.4504 18/667 [..............................] - ETA: 3:11 - loss: 59.7713 - logits_profile_predictions_loss: 59.3238 - logcount_predictions_loss: 0.4476 19/667 [..............................] - ETA: 3:10 - loss: 59.9201 - logits_profile_predictions_loss: 59.4711 - logcount_predictions_loss: 0.4490 20/667 [..............................] - ETA: 3:10 - loss: 60.1484 - logits_profile_predictions_loss: 59.7063 - logcount_predictions_loss: 0.4421 21/667 [..............................] - ETA: 3:10 - loss: 60.7256 - logits_profile_predictions_loss: 60.2869 - logcount_predictions_loss: 0.4387 22/667 [..............................] - ETA: 3:09 - loss: 60.8325 - logits_profile_predictions_loss: 60.3974 - logcount_predictions_loss: 0.4351 23/667 [>.............................] - ETA: 3:09 - loss: 61.1530 - logits_profile_predictions_loss: 60.7184 - logcount_predictions_loss: 0.4346 24/667 [>.............................] - ETA: 3:09 - loss: 61.4799 - logits_profile_predictions_loss: 61.0425 - logcount_predictions_loss: 0.4374 25/667 [>.............................] - ETA: 3:09 - loss: 61.3479 - logits_profile_predictions_loss: 60.9096 - logcount_predictions_loss: 0.4383 26/667 [>.............................] - ETA: 3:08 - loss: 61.5191 - logits_profile_predictions_loss: 61.0828 - logcount_predictions_loss: 0.4363 27/667 [>.............................] - ETA: 3:08 - loss: 61.6386 - logits_profile_predictions_loss: 61.2039 - logcount_predictions_loss: 0.4348 28/667 [>.............................] - ETA: 3:08 - loss: 61.8254 - logits_profile_predictions_loss: 61.3834 - logcount_predictions_loss: 0.4419 29/667 [>.............................] - ETA: 3:07 - loss: 61.9389 - logits_profile_predictions_loss: 61.4961 - logcount_predictions_loss: 0.4429 30/667 [>.............................] - ETA: 3:07 - loss: 61.7650 - logits_profile_predictions_loss: 61.3212 - logcount_predictions_loss: 0.4438 31/667 [>.............................] - ETA: 3:07 - loss: 61.5354 - logits_profile_predictions_loss: 61.0959 - logcount_predictions_loss: 0.4395 32/667 [>.............................] - ETA: 3:06 - loss: 61.4067 - logits_profile_predictions_loss: 60.9650 - logcount_predictions_loss: 0.4417 33/667 [>.............................] - ETA: 3:06 - loss: 61.3414 - logits_profile_predictions_loss: 60.8987 - logcount_predictions_loss: 0.4428 34/667 [>.............................] - ETA: 3:06 - loss: 61.3896 - logits_profile_predictions_loss: 60.9492 - logcount_predictions_loss: 0.4403 35/667 [>.............................] - ETA: 3:06 - loss: 61.3192 - logits_profile_predictions_loss: 60.8846 - logcount_predictions_loss: 0.4346 36/667 [>.............................] - ETA: 3:05 - loss: 61.1558 - logits_profile_predictions_loss: 60.7230 - logcount_predictions_loss: 0.4327 37/667 [>.............................] - ETA: 3:05 - loss: 61.1111 - logits_profile_predictions_loss: 60.6788 - logcount_predictions_loss: 0.4324 38/667 [>.............................] - ETA: 3:05 - loss: 61.0049 - logits_profile_predictions_loss: 60.5753 - logcount_predictions_loss: 0.4296 39/667 [>.............................] - ETA: 3:04 - loss: 61.2727 - logits_profile_predictions_loss: 60.8415 - logcount_predictions_loss: 0.4312 40/667 [>.............................] - ETA: 3:04 - loss: 61.1331 - logits_profile_predictions_loss: 60.7055 - logcount_predictions_loss: 0.4276 41/667 [>.............................] - ETA: 3:04 - loss: 61.0762 - logits_profile_predictions_loss: 60.6504 - logcount_predictions_loss: 0.4258 42/667 [>.............................] - ETA: 3:04 - loss: 61.1112 - logits_profile_predictions_loss: 60.6879 - logcount_predictions_loss: 0.4233 43/667 [>.............................] - ETA: 3:03 - loss: 60.9368 - logits_profile_predictions_loss: 60.5122 - logcount_predictions_loss: 0.4246 44/667 [>.............................] - ETA: 3:03 - loss: 60.9738 - logits_profile_predictions_loss: 60.5515 - logcount_predictions_loss: 0.4223 45/667 [=>............................] - ETA: 3:03 - loss: 61.0132 - logits_profile_predictions_loss: 60.5918 - logcount_predictions_loss: 0.4214 46/667 [=>............................] - ETA: 3:02 - loss: 60.8757 - logits_profile_predictions_loss: 60.4534 - logcount_predictions_loss: 0.4223 47/667 [=>............................] - ETA: 3:02 - loss: 60.8165 - logits_profile_predictions_loss: 60.3960 - logcount_predictions_loss: 0.4206 48/667 [=>............................] - ETA: 3:02 - loss: 60.5474 - logits_profile_predictions_loss: 60.1284 - logcount_predictions_loss: 0.4190 49/667 [=>............................] - ETA: 3:01 - loss: 60.4285 - logits_profile_predictions_loss: 60.0089 - logcount_predictions_loss: 0.4196 50/667 [=>............................] - ETA: 3:01 - loss: 60.6762 - logits_profile_predictions_loss: 60.2573 - logcount_predictions_loss: 0.4189 51/667 [=>............................] - ETA: 3:01 - loss: 60.7654 - logits_profile_predictions_loss: 60.3486 - logcount_predictions_loss: 0.4168 52/667 [=>............................] - ETA: 3:01 - loss: 60.8459 - logits_profile_predictions_loss: 60.4289 - logcount_predictions_loss: 0.4171 53/667 [=>............................] - ETA: 3:00 - loss: 60.7539 - logits_profile_predictions_loss: 60.3400 - logcount_predictions_loss: 0.4139 54/667 [=>............................] - ETA: 3:00 - loss: 60.7691 - logits_profile_predictions_loss: 60.3543 - logcount_predictions_loss: 0.4148 55/667 [=>............................] - ETA: 3:00 - loss: 60.9538 - logits_profile_predictions_loss: 60.5402 - logcount_predictions_loss: 0.4136 56/667 [=>............................] - ETA: 2:59 - loss: 60.7756 - logits_profile_predictions_loss: 60.3620 - logcount_predictions_loss: 0.4135 57/667 [=>............................] - ETA: 2:59 - loss: 60.7141 - logits_profile_predictions_loss: 60.3029 - logcount_predictions_loss: 0.4111 58/667 [=>............................] - ETA: 2:59 - loss: 60.5191 - logits_profile_predictions_loss: 60.1062 - logcount_predictions_loss: 0.4129 59/667 [=>............................] - ETA: 2:59 - loss: 60.5783 - logits_profile_predictions_loss: 60.1657 - logcount_predictions_loss: 0.4127 60/667 [=>............................] - ETA: 2:58 - loss: 60.7357 - logits_profile_predictions_loss: 60.3214 - logcount_predictions_loss: 0.4144 61/667 [=>............................] - ETA: 2:58 - loss: 60.6615 - logits_profile_predictions_loss: 60.2475 - logcount_predictions_loss: 0.4140 62/667 [=>............................] - ETA: 2:58 - loss: 60.7179 - logits_profile_predictions_loss: 60.3050 - logcount_predictions_loss: 0.4129 63/667 [=>............................] - ETA: 2:57 - loss: 60.8570 - logits_profile_predictions_loss: 60.4448 - logcount_predictions_loss: 0.4123 64/667 [=>............................] - ETA: 2:57 - loss: 60.8563 - logits_profile_predictions_loss: 60.4437 - logcount_predictions_loss: 0.4126 65/667 [=>............................] - ETA: 2:57 - loss: 60.7113 - logits_profile_predictions_loss: 60.2992 - logcount_predictions_loss: 0.4120 66/667 [=>............................] - ETA: 2:56 - loss: 60.7113 - logits_profile_predictions_loss: 60.3008 - logcount_predictions_loss: 0.4105 67/667 [==>...........................] - ETA: 2:56 - loss: 60.7053 - logits_profile_predictions_loss: 60.2966 - logcount_predictions_loss: 0.4087 68/667 [==>...........................] - ETA: 2:56 - loss: 60.7153 - logits_profile_predictions_loss: 60.3070 - logcount_predictions_loss: 0.4084 69/667 [==>...........................] - ETA: 2:56 - loss: 60.7325 - logits_profile_predictions_loss: 60.3249 - logcount_predictions_loss: 0.4075 70/667 [==>...........................] - ETA: 2:55 - loss: 60.7247 - logits_profile_predictions_loss: 60.3173 - logcount_predictions_loss: 0.4074 71/667 [==>...........................] - ETA: 2:55 - loss: 60.6945 - logits_profile_predictions_loss: 60.2867 - logcount_predictions_loss: 0.4078 72/667 [==>...........................] - ETA: 2:55 - loss: 60.5889 - logits_profile_predictions_loss: 60.1838 - logcount_predictions_loss: 0.4052 73/667 [==>...........................] - ETA: 2:54 - loss: 60.6071 - logits_profile_predictions_loss: 60.1997 - logcount_predictions_loss: 0.4073 74/667 [==>...........................] - ETA: 2:54 - loss: 60.7314 - logits_profile_predictions_loss: 60.3225 - logcount_predictions_loss: 0.4089 75/667 [==>...........................] - ETA: 2:54 - loss: 60.8737 - logits_profile_predictions_loss: 60.4661 - logcount_predictions_loss: 0.4076 76/667 [==>...........................] - ETA: 2:54 - loss: 60.9112 - logits_profile_predictions_loss: 60.5057 - logcount_predictions_loss: 0.4055 77/667 [==>...........................] - ETA: 2:53 - loss: 60.9141 - logits_profile_predictions_loss: 60.5073 - logcount_predictions_loss: 0.4067 78/667 [==>...........................] - ETA: 2:53 - loss: 60.8265 - logits_profile_predictions_loss: 60.4215 - logcount_predictions_loss: 0.4050 79/667 [==>...........................] - ETA: 2:53 - loss: 60.9306 - logits_profile_predictions_loss: 60.5238 - logcount_predictions_loss: 0.4068 80/667 [==>...........................] - ETA: 2:52 - loss: 60.9444 - logits_profile_predictions_loss: 60.5379 - logcount_predictions_loss: 0.4065 81/667 [==>...........................] - ETA: 2:52 - loss: 61.0514 - logits_profile_predictions_loss: 60.6422 - logcount_predictions_loss: 0.4092 82/667 [==>...........................] - ETA: 2:52 - loss: 61.1347 - logits_profile_predictions_loss: 60.7254 - logcount_predictions_loss: 0.4094 83/667 [==>...........................] - ETA: 2:52 - loss: 61.1586 - logits_profile_predictions_loss: 60.7459 - logcount_predictions_loss: 0.4127 84/667 [==>...........................] - ETA: 2:51 - loss: 61.2014 - logits_profile_predictions_loss: 60.7855 - logcount_predictions_loss: 0.4159 85/667 [==>...........................] - ETA: 2:51 - loss: 61.2690 - logits_profile_predictions_loss: 60.8518 - logcount_predictions_loss: 0.4172 86/667 [==>...........................] - ETA: 2:51 - loss: 61.2399 - logits_profile_predictions_loss: 60.8206 - logcount_predictions_loss: 0.4193 87/667 [==>...........................] - ETA: 2:50 - loss: 61.1422 - logits_profile_predictions_loss: 60.7239 - logcount_predictions_loss: 0.4183 88/667 [==>...........................] - ETA: 2:50 - loss: 61.2566 - logits_profile_predictions_loss: 60.8376 - logcount_predictions_loss: 0.4189 89/667 [===>..........................] - ETA: 2:50 - loss: 61.3477 - logits_profile_predictions_loss: 60.9298 - logcount_predictions_loss: 0.4178 90/667 [===>..........................] - ETA: 2:50 - loss: 61.3598 - logits_profile_predictions_loss: 60.9421 - logcount_predictions_loss: 0.4177 91/667 [===>..........................] - ETA: 2:49 - loss: 61.3954 - logits_profile_predictions_loss: 60.9787 - logcount_predictions_loss: 0.4167 92/667 [===>..........................] - ETA: 2:49 - loss: 61.2667 - 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[===========================>..] - ETA: 11s - loss: 61.4378 - logits_profile_predictions_loss: 61.0090 - logcount_predictions_loss: 0.4287 630/667 [===========================>..] - ETA: 10s - loss: 61.4344 - logits_profile_predictions_loss: 61.0058 - logcount_predictions_loss: 0.4285 631/667 [===========================>..] - ETA: 10s - loss: 61.4493 - logits_profile_predictions_loss: 61.0207 - logcount_predictions_loss: 0.4286 632/667 [===========================>..] - ETA: 10s - loss: 61.4454 - logits_profile_predictions_loss: 61.0169 - logcount_predictions_loss: 0.4285 633/667 [===========================>..] - ETA: 10s - loss: 61.4356 - logits_profile_predictions_loss: 61.0072 - logcount_predictions_loss: 0.4284 634/667 [===========================>..] - ETA: 9s - loss: 61.4573 - logits_profile_predictions_loss: 61.0287 - logcount_predictions_loss: 0.4286  635/667 [===========================>..] - ETA: 9s - loss: 61.4341 - logits_profile_predictions_loss: 61.0056 - 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5s - loss: 61.5637 - logits_profile_predictions_loss: 61.1349 - logcount_predictions_loss: 0.4288 650/667 [============================>.] - ETA: 5s - loss: 61.5609 - logits_profile_predictions_loss: 61.1320 - logcount_predictions_loss: 0.4290 651/667 [============================>.] - ETA: 4s - loss: 61.5527 - logits_profile_predictions_loss: 61.1239 - logcount_predictions_loss: 0.4288 652/667 [============================>.] - ETA: 4s - loss: 61.5416 - logits_profile_predictions_loss: 61.1128 - logcount_predictions_loss: 0.4288 653/667 [============================>.] - ETA: 4s - loss: 61.5325 - logits_profile_predictions_loss: 61.1032 - logcount_predictions_loss: 0.4293 654/667 [============================>.] - ETA: 3s - loss: 61.5585 - logits_profile_predictions_loss: 61.1291 - logcount_predictions_loss: 0.4294 655/667 [============================>.] - ETA: 3s - loss: 61.5641 - logits_profile_predictions_loss: 61.1347 - logcount_predictions_loss: 0.4294 656/667 [============================>.] - ETA: 3s - loss: 61.5703 - logits_profile_predictions_loss: 61.1409 - logcount_predictions_loss: 0.4295 657/667 [============================>.] - ETA: 2s - loss: 61.5669 - logits_profile_predictions_loss: 61.1375 - logcount_predictions_loss: 0.4294 658/667 [============================>.] - ETA: 2s - loss: 61.5537 - logits_profile_predictions_loss: 61.1242 - logcount_predictions_loss: 0.4295 659/667 [============================>.] - ETA: 2s - loss: 61.5595 - logits_profile_predictions_loss: 61.1299 - logcount_predictions_loss: 0.4296 660/667 [============================>.] - ETA: 2s - loss: 61.5496 - logits_profile_predictions_loss: 61.1199 - logcount_predictions_loss: 0.4297 661/667 [============================>.] - ETA: 1s - loss: 61.5479 - logits_profile_predictions_loss: 61.1185 - logcount_predictions_loss: 0.4294 662/667 [============================>.] - ETA: 1s - loss: 61.5544 - logits_profile_predictions_loss: 61.1249 - logcount_predictions_loss: 0.4295 663/667 [============================>.] - ETA: 1s - loss: 61.5466 - logits_profile_predictions_loss: 61.1172 - logcount_predictions_loss: 0.4294 664/667 [============================>.] - ETA: 0s - loss: 61.5294 - logits_profile_predictions_loss: 61.1002 - logcount_predictions_loss: 0.4292 665/667 [============================>.] - ETA: 0s - loss: 61.5198 - logits_profile_predictions_loss: 61.0905 - logcount_predictions_loss: 0.4292 666/667 [============================>.] - ETA: 0s - loss: 61.5298 - logits_profile_predictions_loss: 61.1004 - logcount_predictions_loss: 0.4293 667/667 [==============================] - ETA: 0s - loss: 61.5175 - logits_profile_predictions_loss: 61.0883 - logcount_predictions_loss: 0.4292 Epoch 9: val_loss did not improve from 79.54640  667/667 [==============================] - 217s 326ms/step - loss: 61.5175 - logits_profile_predictions_loss: 61.0883 - logcount_predictions_loss: 0.4292 - val_loss: 80.6169 - val_logits_profile_predictions_loss: 80.1461 - val_logcount_predictions_loss: 0.4708 Epoch 10/50 1/667 [..............................] - ETA: 3:24 - loss: 48.2739 - logits_profile_predictions_loss: 47.8010 - logcount_predictions_loss: 0.4729 2/667 [..............................] - ETA: 3:15 - loss: 50.2053 - logits_profile_predictions_loss: 49.7355 - logcount_predictions_loss: 0.4698 3/667 [..............................] - ETA: 3:15 - loss: 51.8589 - logits_profile_predictions_loss: 51.4294 - logcount_predictions_loss: 0.4295 4/667 [..............................] - ETA: 3:15 - loss: 56.3210 - logits_profile_predictions_loss: 55.9016 - logcount_predictions_loss: 0.4194 5/667 [..............................] - ETA: 3:14 - loss: 57.0924 - logits_profile_predictions_loss: 56.6399 - logcount_predictions_loss: 0.4526 6/667 [..............................] - ETA: 3:14 - loss: 56.7963 - logits_profile_predictions_loss: 56.3715 - logcount_predictions_loss: 0.4248 7/667 [..............................] - ETA: 3:14 - loss: 55.9683 - logits_profile_predictions_loss: 55.5573 - logcount_predictions_loss: 0.4110 8/667 [..............................] - ETA: 3:14 - loss: 56.4666 - logits_profile_predictions_loss: 56.0529 - logcount_predictions_loss: 0.4137 9/667 [..............................] - ETA: 3:13 - loss: 56.5594 - logits_profile_predictions_loss: 56.1566 - logcount_predictions_loss: 0.4029 10/667 [..............................] - ETA: 3:13 - loss: 56.7587 - logits_profile_predictions_loss: 56.3698 - logcount_predictions_loss: 0.3889 11/667 [..............................] - ETA: 3:13 - loss: 57.2061 - logits_profile_predictions_loss: 56.8083 - logcount_predictions_loss: 0.3978 12/667 [..............................] - ETA: 3:12 - loss: 58.1407 - logits_profile_predictions_loss: 57.7514 - logcount_predictions_loss: 0.3893 13/667 [..............................] - ETA: 3:12 - loss: 58.4165 - logits_profile_predictions_loss: 58.0165 - logcount_predictions_loss: 0.4000 14/667 [..............................] - ETA: 3:12 - loss: 59.1398 - logits_profile_predictions_loss: 58.7406 - logcount_predictions_loss: 0.3992 15/667 [..............................] - ETA: 3:11 - loss: 58.6685 - logits_profile_predictions_loss: 58.2695 - logcount_predictions_loss: 0.3990 16/667 [..............................] - ETA: 3:11 - loss: 59.5944 - logits_profile_predictions_loss: 59.1916 - logcount_predictions_loss: 0.4028 17/667 [..............................] - ETA: 3:11 - loss: 59.5787 - logits_profile_predictions_loss: 59.1806 - logcount_predictions_loss: 0.3982 18/667 [..............................] - ETA: 3:11 - loss: 59.9808 - logits_profile_predictions_loss: 59.5835 - logcount_predictions_loss: 0.3973 19/667 [..............................] - ETA: 3:10 - loss: 60.5474 - logits_profile_predictions_loss: 60.1484 - logcount_predictions_loss: 0.3990 20/667 [..............................] - ETA: 3:10 - loss: 60.8484 - logits_profile_predictions_loss: 60.4516 - logcount_predictions_loss: 0.3968 21/667 [..............................] - ETA: 3:10 - loss: 60.9841 - logits_profile_predictions_loss: 60.5844 - logcount_predictions_loss: 0.3997 22/667 [..............................] - ETA: 3:09 - loss: 61.4778 - logits_profile_predictions_loss: 61.0725 - logcount_predictions_loss: 0.4053 23/667 [>.............................] - ETA: 3:09 - loss: 61.5162 - logits_profile_predictions_loss: 61.1156 - logcount_predictions_loss: 0.4006 24/667 [>.............................] - ETA: 3:09 - loss: 61.3530 - logits_profile_predictions_loss: 60.9506 - logcount_predictions_loss: 0.4024 25/667 [>.............................] - ETA: 3:08 - loss: 61.5226 - logits_profile_predictions_loss: 61.1242 - logcount_predictions_loss: 0.3984 26/667 [>.............................] - ETA: 3:08 - loss: 61.6158 - logits_profile_predictions_loss: 61.2181 - logcount_predictions_loss: 0.3977 27/667 [>.............................] - ETA: 3:08 - loss: 61.5375 - logits_profile_predictions_loss: 61.1450 - logcount_predictions_loss: 0.3925 28/667 [>.............................] - ETA: 3:08 - loss: 61.9763 - logits_profile_predictions_loss: 61.5847 - logcount_predictions_loss: 0.3916 29/667 [>.............................] - ETA: 3:07 - loss: 62.0257 - logits_profile_predictions_loss: 61.6332 - logcount_predictions_loss: 0.3924 30/667 [>.............................] - ETA: 3:07 - loss: 61.8870 - logits_profile_predictions_loss: 61.4923 - logcount_predictions_loss: 0.3946 31/667 [>.............................] - ETA: 3:07 - loss: 61.8827 - logits_profile_predictions_loss: 61.4872 - logcount_predictions_loss: 0.3955 32/667 [>.............................] - ETA: 3:06 - loss: 61.6420 - logits_profile_predictions_loss: 61.2473 - logcount_predictions_loss: 0.3947 33/667 [>.............................] - ETA: 3:06 - loss: 61.7368 - logits_profile_predictions_loss: 61.3403 - logcount_predictions_loss: 0.3965 34/667 [>.............................] - ETA: 3:06 - loss: 61.6779 - logits_profile_predictions_loss: 61.2816 - logcount_predictions_loss: 0.3963 35/667 [>.............................] - ETA: 3:06 - loss: 61.4382 - logits_profile_predictions_loss: 61.0437 - logcount_predictions_loss: 0.3945 36/667 [>.............................] - ETA: 3:05 - loss: 61.0623 - logits_profile_predictions_loss: 60.6674 - logcount_predictions_loss: 0.3949 37/667 [>.............................] - ETA: 3:05 - loss: 60.9587 - logits_profile_predictions_loss: 60.5666 - logcount_predictions_loss: 0.3920 38/667 [>.............................] - ETA: 3:05 - loss: 60.6930 - logits_profile_predictions_loss: 60.2982 - logcount_predictions_loss: 0.3948 39/667 [>.............................] - ETA: 3:04 - loss: 60.5160 - logits_profile_predictions_loss: 60.1238 - logcount_predictions_loss: 0.3922 40/667 [>.............................] - ETA: 3:04 - loss: 60.3920 - logits_profile_predictions_loss: 60.0000 - logcount_predictions_loss: 0.3920 41/667 [>.............................] - ETA: 3:04 - loss: 60.2825 - logits_profile_predictions_loss: 59.8905 - logcount_predictions_loss: 0.3919 42/667 [>.............................] - ETA: 3:04 - loss: 60.3115 - logits_profile_predictions_loss: 59.9169 - logcount_predictions_loss: 0.3946 43/667 [>.............................] - ETA: 3:03 - loss: 60.3148 - logits_profile_predictions_loss: 59.9162 - logcount_predictions_loss: 0.3985 44/667 [>.............................] - ETA: 3:03 - loss: 60.0693 - logits_profile_predictions_loss: 59.6719 - logcount_predictions_loss: 0.3974 45/667 [=>............................] - ETA: 3:03 - loss: 60.2960 - logits_profile_predictions_loss: 59.9021 - logcount_predictions_loss: 0.3939 46/667 [=>............................] - ETA: 3:02 - loss: 60.1255 - logits_profile_predictions_loss: 59.7313 - logcount_predictions_loss: 0.3942 47/667 [=>............................] - ETA: 3:02 - loss: 60.2211 - logits_profile_predictions_loss: 59.8260 - logcount_predictions_loss: 0.3951 48/667 [=>............................] - ETA: 3:02 - loss: 60.1459 - logits_profile_predictions_loss: 59.7490 - logcount_predictions_loss: 0.3969 49/667 [=>............................] - ETA: 3:01 - loss: 60.2979 - logits_profile_predictions_loss: 59.8977 - logcount_predictions_loss: 0.4002 50/667 [=>............................] - ETA: 3:01 - loss: 60.3218 - logits_profile_predictions_loss: 59.9209 - logcount_predictions_loss: 0.4009 51/667 [=>............................] - ETA: 3:01 - loss: 60.4112 - logits_profile_predictions_loss: 60.0058 - logcount_predictions_loss: 0.4055 52/667 [=>............................] - ETA: 3:01 - loss: 60.5004 - logits_profile_predictions_loss: 60.0909 - logcount_predictions_loss: 0.4095 53/667 [=>............................] - ETA: 3:00 - loss: 60.4945 - logits_profile_predictions_loss: 60.0845 - logcount_predictions_loss: 0.4100 54/667 [=>............................] - ETA: 3:00 - loss: 60.4216 - logits_profile_predictions_loss: 60.0093 - logcount_predictions_loss: 0.4124 55/667 [=>............................] - ETA: 3:00 - loss: 60.4244 - logits_profile_predictions_loss: 60.0102 - logcount_predictions_loss: 0.4142 56/667 [=>............................] - ETA: 2:59 - loss: 60.3796 - logits_profile_predictions_loss: 59.9630 - logcount_predictions_loss: 0.4166 57/667 [=>............................] - ETA: 2:59 - loss: 60.3739 - logits_profile_predictions_loss: 59.9556 - logcount_predictions_loss: 0.4183 58/667 [=>............................] - ETA: 2:59 - loss: 60.5675 - logits_profile_predictions_loss: 60.1439 - logcount_predictions_loss: 0.4237 59/667 [=>............................] - ETA: 2:59 - loss: 60.6498 - logits_profile_predictions_loss: 60.2261 - logcount_predictions_loss: 0.4237 60/667 [=>............................] - ETA: 2:58 - loss: 60.8489 - logits_profile_predictions_loss: 60.4204 - logcount_predictions_loss: 0.4286 61/667 [=>............................] - ETA: 2:58 - loss: 61.0644 - logits_profile_predictions_loss: 60.6347 - logcount_predictions_loss: 0.4297 62/667 [=>............................] - ETA: 2:58 - loss: 61.0723 - logits_profile_predictions_loss: 60.6406 - logcount_predictions_loss: 0.4317 63/667 [=>............................] - ETA: 2:57 - loss: 61.1107 - logits_profile_predictions_loss: 60.6787 - logcount_predictions_loss: 0.4320 64/667 [=>............................] - ETA: 2:57 - loss: 61.0142 - logits_profile_predictions_loss: 60.5828 - logcount_predictions_loss: 0.4314 65/667 [=>............................] - ETA: 2:57 - loss: 60.7800 - logits_profile_predictions_loss: 60.3481 - logcount_predictions_loss: 0.4319 66/667 [=>............................] - ETA: 2:56 - loss: 60.6110 - logits_profile_predictions_loss: 60.1764 - logcount_predictions_loss: 0.4347 67/667 [==>...........................] - ETA: 2:56 - loss: 60.5508 - logits_profile_predictions_loss: 60.1168 - logcount_predictions_loss: 0.4340 68/667 [==>...........................] - ETA: 2:56 - loss: 60.5151 - logits_profile_predictions_loss: 60.0798 - logcount_predictions_loss: 0.4353 69/667 [==>...........................] - ETA: 2:56 - loss: 60.5048 - logits_profile_predictions_loss: 60.0708 - logcount_predictions_loss: 0.4340 70/667 [==>...........................] - ETA: 2:55 - loss: 60.4944 - logits_profile_predictions_loss: 60.0585 - logcount_predictions_loss: 0.4359 71/667 [==>...........................] - ETA: 2:55 - loss: 60.4720 - logits_profile_predictions_loss: 60.0350 - logcount_predictions_loss: 0.4370 72/667 [==>...........................] - ETA: 2:55 - loss: 60.5167 - logits_profile_predictions_loss: 60.0804 - logcount_predictions_loss: 0.4363 73/667 [==>...........................] - ETA: 2:54 - loss: 60.5578 - logits_profile_predictions_loss: 60.1214 - logcount_predictions_loss: 0.4364 74/667 [==>...........................] - ETA: 2:54 - loss: 60.5541 - logits_profile_predictions_loss: 60.1167 - logcount_predictions_loss: 0.4374 75/667 [==>...........................] - ETA: 2:54 - loss: 60.4450 - logits_profile_predictions_loss: 60.0064 - logcount_predictions_loss: 0.4386 76/667 [==>...........................] - ETA: 2:54 - loss: 60.4950 - logits_profile_predictions_loss: 60.0576 - logcount_predictions_loss: 0.4374 77/667 [==>...........................] - ETA: 2:53 - loss: 60.3956 - logits_profile_predictions_loss: 59.9590 - logcount_predictions_loss: 0.4366 78/667 [==>...........................] - ETA: 2:53 - loss: 60.3801 - logits_profile_predictions_loss: 59.9438 - logcount_predictions_loss: 0.4363 79/667 [==>...........................] - ETA: 2:53 - loss: 60.5241 - logits_profile_predictions_loss: 60.0834 - logcount_predictions_loss: 0.4407 80/667 [==>...........................] - ETA: 2:52 - loss: 60.3297 - logits_profile_predictions_loss: 59.8892 - logcount_predictions_loss: 0.4405 81/667 [==>...........................] - ETA: 2:52 - loss: 60.3227 - logits_profile_predictions_loss: 59.8828 - logcount_predictions_loss: 0.4399 82/667 [==>...........................] - ETA: 2:52 - loss: 60.3295 - logits_profile_predictions_loss: 59.8895 - logcount_predictions_loss: 0.4400 83/667 [==>...........................] - ETA: 2:51 - loss: 60.3665 - logits_profile_predictions_loss: 59.9276 - logcount_predictions_loss: 0.4390 84/667 [==>...........................] - ETA: 2:51 - loss: 60.3200 - logits_profile_predictions_loss: 59.8822 - logcount_predictions_loss: 0.4378 85/667 [==>...........................] - ETA: 2:51 - loss: 60.3531 - logits_profile_predictions_loss: 59.9165 - logcount_predictions_loss: 0.4366 86/667 [==>...........................] - ETA: 2:51 - loss: 60.3729 - logits_profile_predictions_loss: 59.9352 - logcount_predictions_loss: 0.4378 87/667 [==>...........................] - ETA: 2:50 - loss: 60.3821 - logits_profile_predictions_loss: 59.9441 - logcount_predictions_loss: 0.4380 88/667 [==>...........................] - ETA: 2:50 - loss: 60.3869 - logits_profile_predictions_loss: 59.9496 - logcount_predictions_loss: 0.4373 89/667 [===>..........................] - ETA: 2:50 - loss: 60.2879 - logits_profile_predictions_loss: 59.8513 - logcount_predictions_loss: 0.4366 90/667 [===>..........................] - ETA: 2:49 - loss: 60.2431 - logits_profile_predictions_loss: 59.8078 - logcount_predictions_loss: 0.4353 91/667 [===>..........................] - ETA: 2:49 - loss: 60.2027 - logits_profile_predictions_loss: 59.7698 - logcount_predictions_loss: 0.4329 92/667 [===>..........................] - ETA: 2:49 - loss: 60.2736 - logits_profile_predictions_loss: 59.8417 - logcount_predictions_loss: 0.4320 93/667 [===>..........................] - ETA: 2:49 - loss: 60.3512 - logits_profile_predictions_loss: 59.9200 - logcount_predictions_loss: 0.4311 94/667 [===>..........................] - ETA: 2:48 - loss: 60.3301 - logits_profile_predictions_loss: 59.8991 - logcount_predictions_loss: 0.4310 95/667 [===>..........................] - ETA: 2:48 - loss: 60.4361 - logits_profile_predictions_loss: 60.0048 - logcount_predictions_loss: 0.4313 96/667 [===>..........................] - ETA: 2:48 - loss: 60.3933 - logits_profile_predictions_loss: 59.9612 - logcount_predictions_loss: 0.4320 97/667 [===>..........................] - ETA: 2:47 - loss: 60.3148 - logits_profile_predictions_loss: 59.8824 - logcount_predictions_loss: 0.4324 98/667 [===>..........................] - ETA: 2:47 - loss: 60.3350 - logits_profile_predictions_loss: 59.9036 - logcount_predictions_loss: 0.4314 99/667 [===>..........................] - ETA: 2:47 - loss: 60.4208 - logits_profile_predictions_loss: 59.9897 - logcount_predictions_loss: 0.4311 100/667 [===>..........................] - ETA: 2:46 - loss: 60.4525 - logits_profile_predictions_loss: 60.0223 - logcount_predictions_loss: 0.4302 101/667 [===>..........................] - ETA: 2:46 - loss: 60.4800 - logits_profile_predictions_loss: 60.0483 - logcount_predictions_loss: 0.4318 102/667 [===>..........................] - ETA: 2:46 - loss: 60.4970 - logits_profile_predictions_loss: 60.0663 - logcount_predictions_loss: 0.4307 103/667 [===>..........................] - ETA: 2:46 - loss: 60.5111 - logits_profile_predictions_loss: 60.0806 - logcount_predictions_loss: 0.4306 104/667 [===>..........................] - ETA: 2:45 - loss: 60.5025 - logits_profile_predictions_loss: 60.0717 - logcount_predictions_loss: 0.4308 105/667 [===>..........................] - ETA: 2:45 - loss: 60.4529 - logits_profile_predictions_loss: 60.0219 - logcount_predictions_loss: 0.4310 106/667 [===>..........................] - ETA: 2:45 - loss: 60.4382 - logits_profile_predictions_loss: 60.0074 - logcount_predictions_loss: 0.4308 107/667 [===>..........................] - ETA: 2:44 - loss: 60.4993 - logits_profile_predictions_loss: 60.0677 - logcount_predictions_loss: 0.4316 108/667 [===>..........................] - ETA: 2:44 - loss: 60.5322 - logits_profile_predictions_loss: 60.0992 - logcount_predictions_loss: 0.4330 109/667 [===>..........................] - ETA: 2:44 - loss: 60.5154 - logits_profile_predictions_loss: 60.0809 - logcount_predictions_loss: 0.4344 110/667 [===>..........................] - ETA: 2:44 - loss: 60.5079 - logits_profile_predictions_loss: 60.0733 - logcount_predictions_loss: 0.4346 111/667 [===>..........................] - ETA: 2:43 - loss: 60.5012 - logits_profile_predictions_loss: 60.0676 - logcount_predictions_loss: 0.4335 112/667 [====>.........................] - ETA: 2:43 - loss: 60.5531 - logits_profile_predictions_loss: 60.1194 - logcount_predictions_loss: 0.4337 113/667 [====>.........................] - ETA: 2:43 - loss: 60.5715 - logits_profile_predictions_loss: 60.1368 - logcount_predictions_loss: 0.4347 114/667 [====>.........................] - ETA: 2:42 - loss: 60.5484 - logits_profile_predictions_loss: 60.1142 - logcount_predictions_loss: 0.4342 115/667 [====>.........................] - ETA: 2:42 - loss: 60.6144 - logits_profile_predictions_loss: 60.1809 - logcount_predictions_loss: 0.4335 116/667 [====>.........................] - ETA: 2:42 - loss: 60.5868 - logits_profile_predictions_loss: 60.1539 - logcount_predictions_loss: 0.4329 117/667 [====>.........................] - ETA: 2:42 - loss: 60.5785 - logits_profile_predictions_loss: 60.1471 - logcount_predictions_loss: 0.4314 118/667 [====>.........................] - ETA: 2:41 - loss: 60.6428 - logits_profile_predictions_loss: 60.2121 - logcount_predictions_loss: 0.4307 119/667 [====>.........................] - ETA: 2:41 - loss: 60.7169 - logits_profile_predictions_loss: 60.2856 - logcount_predictions_loss: 0.4313 120/667 [====>.........................] - ETA: 2:41 - loss: 60.6907 - logits_profile_predictions_loss: 60.2587 - logcount_predictions_loss: 0.4320 121/667 [====>.........................] - ETA: 2:40 - loss: 60.7059 - logits_profile_predictions_loss: 60.2741 - logcount_predictions_loss: 0.4318 122/667 [====>.........................] - ETA: 2:40 - loss: 60.8165 - logits_profile_predictions_loss: 60.3848 - logcount_predictions_loss: 0.4316 123/667 [====>.........................] - ETA: 2:40 - loss: 60.7632 - logits_profile_predictions_loss: 60.3315 - logcount_predictions_loss: 0.4317 124/667 [====>.........................] - ETA: 2:40 - loss: 60.7095 - logits_profile_predictions_loss: 60.2768 - logcount_predictions_loss: 0.4327 125/667 [====>.........................] - ETA: 2:39 - loss: 60.7246 - logits_profile_predictions_loss: 60.2930 - logcount_predictions_loss: 0.4316 126/667 [====>.........................] - ETA: 2:39 - loss: 60.7468 - logits_profile_predictions_loss: 60.3158 - logcount_predictions_loss: 0.4311 127/667 [====>.........................] - ETA: 2:39 - loss: 60.7512 - logits_profile_predictions_loss: 60.3211 - logcount_predictions_loss: 0.4301 128/667 [====>.........................] - ETA: 2:38 - loss: 60.7952 - logits_profile_predictions_loss: 60.3654 - logcount_predictions_loss: 0.4299 129/667 [====>.........................] - ETA: 2:38 - loss: 60.8311 - logits_profile_predictions_loss: 60.4021 - logcount_predictions_loss: 0.4289 130/667 [====>.........................] - ETA: 2:38 - loss: 60.8052 - logits_profile_predictions_loss: 60.3768 - logcount_predictions_loss: 0.4284 131/667 [====>.........................] - ETA: 2:37 - loss: 60.7848 - logits_profile_predictions_loss: 60.3565 - logcount_predictions_loss: 0.4283 132/667 [====>.........................] - ETA: 2:37 - loss: 60.7955 - logits_profile_predictions_loss: 60.3677 - logcount_predictions_loss: 0.4278 133/667 [====>.........................] - ETA: 2:37 - loss: 60.7768 - logits_profile_predictions_loss: 60.3489 - logcount_predictions_loss: 0.4279 134/667 [=====>........................] - ETA: 2:37 - loss: 60.7216 - logits_profile_predictions_loss: 60.2945 - logcount_predictions_loss: 0.4271 135/667 [=====>........................] - ETA: 2:36 - loss: 60.6948 - logits_profile_predictions_loss: 60.2675 - logcount_predictions_loss: 0.4273 136/667 [=====>........................] - ETA: 2:36 - loss: 60.7664 - logits_profile_predictions_loss: 60.3393 - logcount_predictions_loss: 0.4271 137/667 [=====>........................] - ETA: 2:36 - loss: 60.6716 - logits_profile_predictions_loss: 60.2433 - logcount_predictions_loss: 0.4283 138/667 [=====>........................] - ETA: 2:35 - loss: 60.6661 - logits_profile_predictions_loss: 60.2385 - logcount_predictions_loss: 0.4277 139/667 [=====>........................] - ETA: 2:35 - loss: 60.6460 - logits_profile_predictions_loss: 60.2193 - logcount_predictions_loss: 0.4267 140/667 [=====>........................] - ETA: 2:35 - loss: 60.6370 - logits_profile_predictions_loss: 60.2104 - logcount_predictions_loss: 0.4266 141/667 [=====>........................] - ETA: 2:35 - loss: 60.6450 - 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- ETA: 20s - loss: 60.6937 - logits_profile_predictions_loss: 60.2649 - logcount_predictions_loss: 0.4288 598/667 [=========================>....] - ETA: 20s - loss: 60.6814 - logits_profile_predictions_loss: 60.2527 - logcount_predictions_loss: 0.4288 599/667 [=========================>....] - ETA: 20s - loss: 60.6885 - logits_profile_predictions_loss: 60.2599 - logcount_predictions_loss: 0.4287 600/667 [=========================>....] - ETA: 19s - loss: 60.6740 - logits_profile_predictions_loss: 60.2456 - logcount_predictions_loss: 0.4285 601/667 [==========================>...] - ETA: 19s - loss: 60.6676 - logits_profile_predictions_loss: 60.2390 - logcount_predictions_loss: 0.4286 602/667 [==========================>...] - ETA: 19s - loss: 60.6742 - logits_profile_predictions_loss: 60.2456 - logcount_predictions_loss: 0.4286 603/667 [==========================>...] - ETA: 18s - loss: 60.6708 - logits_profile_predictions_loss: 60.2423 - logcount_predictions_loss: 0.4286 604/667 [==========================>...] - ETA: 18s - loss: 60.6912 - logits_profile_predictions_loss: 60.2629 - logcount_predictions_loss: 0.4284 605/667 [==========================>...] - ETA: 18s - loss: 60.6908 - logits_profile_predictions_loss: 60.2627 - logcount_predictions_loss: 0.4281 606/667 [==========================>...] - ETA: 18s - loss: 60.6794 - logits_profile_predictions_loss: 60.2515 - logcount_predictions_loss: 0.4280 607/667 [==========================>...] - ETA: 17s - loss: 60.6864 - logits_profile_predictions_loss: 60.2582 - logcount_predictions_loss: 0.4283 608/667 [==========================>...] - ETA: 17s - loss: 60.6755 - logits_profile_predictions_loss: 60.2472 - logcount_predictions_loss: 0.4283 609/667 [==========================>...] - ETA: 17s - loss: 60.6672 - logits_profile_predictions_loss: 60.2390 - logcount_predictions_loss: 0.4282 610/667 [==========================>...] - ETA: 16s - loss: 60.6635 - logits_profile_predictions_loss: 60.2353 - logcount_predictions_loss: 0.4282 611/667 [==========================>...] - ETA: 16s - loss: 60.6785 - logits_profile_predictions_loss: 60.2500 - logcount_predictions_loss: 0.4285 612/667 [==========================>...] - ETA: 16s - loss: 60.6763 - logits_profile_predictions_loss: 60.2478 - logcount_predictions_loss: 0.4285 613/667 [==========================>...] - ETA: 15s - loss: 60.6766 - logits_profile_predictions_loss: 60.2480 - logcount_predictions_loss: 0.4286 614/667 [==========================>...] - ETA: 15s - loss: 60.6945 - logits_profile_predictions_loss: 60.2655 - logcount_predictions_loss: 0.4291 615/667 [==========================>...] - ETA: 15s - loss: 60.7109 - logits_profile_predictions_loss: 60.2815 - logcount_predictions_loss: 0.4294 616/667 [==========================>...] - ETA: 15s - loss: 60.7155 - logits_profile_predictions_loss: 60.2862 - logcount_predictions_loss: 0.4294 617/667 [==========================>...] - ETA: 14s - loss: 60.7075 - logits_profile_predictions_loss: 60.2783 - logcount_predictions_loss: 0.4292 618/667 [==========================>...] - ETA: 14s - loss: 60.6883 - logits_profile_predictions_loss: 60.2593 - logcount_predictions_loss: 0.4290 619/667 [==========================>...] - ETA: 14s - loss: 60.6851 - logits_profile_predictions_loss: 60.2563 - logcount_predictions_loss: 0.4289 620/667 [==========================>...] - ETA: 13s - loss: 60.6936 - logits_profile_predictions_loss: 60.2646 - logcount_predictions_loss: 0.4291 621/667 [==========================>...] - ETA: 13s - loss: 60.6923 - logits_profile_predictions_loss: 60.2632 - logcount_predictions_loss: 0.4291 622/667 [==========================>...] - ETA: 13s - loss: 60.7005 - logits_profile_predictions_loss: 60.2714 - logcount_predictions_loss: 0.4291 623/667 [===========================>..] - ETA: 12s - loss: 60.6888 - logits_profile_predictions_loss: 60.2594 - logcount_predictions_loss: 0.4294 624/667 [===========================>..] - ETA: 12s - loss: 60.6841 - logits_profile_predictions_loss: 60.2548 - logcount_predictions_loss: 0.4293 625/667 [===========================>..] - ETA: 12s - loss: 60.6844 - logits_profile_predictions_loss: 60.2551 - logcount_predictions_loss: 0.4293 626/667 [===========================>..] - ETA: 12s - loss: 60.6822 - logits_profile_predictions_loss: 60.2530 - logcount_predictions_loss: 0.4292 627/667 [===========================>..] - ETA: 11s - loss: 60.6917 - logits_profile_predictions_loss: 60.2626 - logcount_predictions_loss: 0.4292 628/667 [===========================>..] - ETA: 11s - loss: 60.6957 - logits_profile_predictions_loss: 60.2666 - logcount_predictions_loss: 0.4291 629/667 [===========================>..] - ETA: 11s - loss: 60.6838 - logits_profile_predictions_loss: 60.2544 - logcount_predictions_loss: 0.4294 630/667 [===========================>..] - ETA: 10s - loss: 60.6815 - logits_profile_predictions_loss: 60.2521 - logcount_predictions_loss: 0.4294 631/667 [===========================>..] - ETA: 10s - loss: 60.6750 - logits_profile_predictions_loss: 60.2455 - logcount_predictions_loss: 0.4296 632/667 [===========================>..] - ETA: 10s - loss: 60.6798 - logits_profile_predictions_loss: 60.2502 - logcount_predictions_loss: 0.4296 633/667 [===========================>..] - ETA: 10s - loss: 60.7018 - logits_profile_predictions_loss: 60.2723 - logcount_predictions_loss: 0.4296 634/667 [===========================>..] - ETA: 9s - loss: 60.7046 - logits_profile_predictions_loss: 60.2752 - logcount_predictions_loss: 0.4294  635/667 [===========================>..] - ETA: 9s - loss: 60.7230 - logits_profile_predictions_loss: 60.2938 - logcount_predictions_loss: 0.4292 636/667 [===========================>..] - ETA: 9s - loss: 60.7330 - logits_profile_predictions_loss: 60.3039 - logcount_predictions_loss: 0.4292 637/667 [===========================>..] - ETA: 8s - loss: 60.7149 - logits_profile_predictions_loss: 60.2859 - 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logits_profile_predictions_loss: 60.2928 - logcount_predictions_loss: 0.4282 645/667 [============================>.] - ETA: 6s - loss: 60.7238 - logits_profile_predictions_loss: 60.2956 - logcount_predictions_loss: 0.4282 646/667 [============================>.] - ETA: 6s - loss: 60.7043 - logits_profile_predictions_loss: 60.2762 - logcount_predictions_loss: 0.4282 647/667 [============================>.] - ETA: 5s - loss: 60.7151 - logits_profile_predictions_loss: 60.2869 - logcount_predictions_loss: 0.4282 648/667 [============================>.] - ETA: 5s - loss: 60.7300 - logits_profile_predictions_loss: 60.3018 - logcount_predictions_loss: 0.4282 649/667 [============================>.] - ETA: 5s - loss: 60.7308 - logits_profile_predictions_loss: 60.3026 - logcount_predictions_loss: 0.4282 650/667 [============================>.] - ETA: 5s - loss: 60.7450 - logits_profile_predictions_loss: 60.3170 - logcount_predictions_loss: 0.4281 651/667 [============================>.] - ETA: 4s - loss: 60.7382 - logits_profile_predictions_loss: 60.3100 - logcount_predictions_loss: 0.4283 652/667 [============================>.] - ETA: 4s - loss: 60.7292 - logits_profile_predictions_loss: 60.3009 - logcount_predictions_loss: 0.4283 653/667 [============================>.] - ETA: 4s - loss: 60.7272 - logits_profile_predictions_loss: 60.2988 - logcount_predictions_loss: 0.4284 654/667 [============================>.] - ETA: 3s - loss: 60.7296 - logits_profile_predictions_loss: 60.3013 - logcount_predictions_loss: 0.4283 655/667 [============================>.] - ETA: 3s - loss: 60.7432 - logits_profile_predictions_loss: 60.3150 - logcount_predictions_loss: 0.4283 656/667 [============================>.] - ETA: 3s - loss: 60.7354 - logits_profile_predictions_loss: 60.3072 - logcount_predictions_loss: 0.4282 657/667 [============================>.] - ETA: 2s - loss: 60.7531 - logits_profile_predictions_loss: 60.3250 - logcount_predictions_loss: 0.4280 658/667 [============================>.] - ETA: 2s - loss: 60.7530 - logits_profile_predictions_loss: 60.3251 - logcount_predictions_loss: 0.4280 659/667 [============================>.] - ETA: 2s - loss: 60.7425 - logits_profile_predictions_loss: 60.3147 - logcount_predictions_loss: 0.4278 660/667 [============================>.] - ETA: 2s - loss: 60.7613 - logits_profile_predictions_loss: 60.3336 - logcount_predictions_loss: 0.4277 661/667 [============================>.] - ETA: 1s - loss: 60.7814 - logits_profile_predictions_loss: 60.3541 - logcount_predictions_loss: 0.4274 662/667 [============================>.] - ETA: 1s - loss: 60.8124 - logits_profile_predictions_loss: 60.3850 - logcount_predictions_loss: 0.4274 663/667 [============================>.] - ETA: 1s - loss: 60.8170 - logits_profile_predictions_loss: 60.3897 - logcount_predictions_loss: 0.4272 664/667 [============================>.] - ETA: 0s - loss: 60.7995 - logits_profile_predictions_loss: 60.3724 - logcount_predictions_loss: 0.4271 665/667 [============================>.] - ETA: 0s - loss: 60.7969 - logits_profile_predictions_loss: 60.3699 - logcount_predictions_loss: 0.4270 666/667 [============================>.] - ETA: 0s - loss: 60.8213 - logits_profile_predictions_loss: 60.3941 - logcount_predictions_loss: 0.4272 667/667 [==============================] - ETA: 0s - loss: 60.8138 - logits_profile_predictions_loss: 60.3868 - logcount_predictions_loss: 0.4271 Epoch 10: val_loss did not improve from 79.54640  667/667 [==============================] - 217s 326ms/step - loss: 60.8138 - logits_profile_predictions_loss: 60.3868 - logcount_predictions_loss: 0.4271 - val_loss: 81.2133 - val_logits_profile_predictions_loss: 80.7690 - val_logcount_predictions_loss: 0.4443 Epoch 11/50 1/667 [..............................] - ETA: 3:23 - loss: 53.2927 - logits_profile_predictions_loss: 52.9962 - logcount_predictions_loss: 0.2965 2/667 [..............................] - ETA: 3:15 - loss: 55.9301 - logits_profile_predictions_loss: 55.5405 - logcount_predictions_loss: 0.3895 3/667 [..............................] - ETA: 3:15 - loss: 57.9146 - logits_profile_predictions_loss: 57.5350 - logcount_predictions_loss: 0.3796 4/667 [..............................] - ETA: 3:14 - loss: 59.7274 - logits_profile_predictions_loss: 59.3868 - logcount_predictions_loss: 0.3405 5/667 [..............................] - ETA: 3:14 - loss: 58.9543 - logits_profile_predictions_loss: 58.5869 - logcount_predictions_loss: 0.3674 6/667 [..............................] - ETA: 3:14 - loss: 58.4667 - logits_profile_predictions_loss: 58.0600 - logcount_predictions_loss: 0.4068 7/667 [..............................] - ETA: 3:14 - loss: 57.2225 - logits_profile_predictions_loss: 56.8275 - logcount_predictions_loss: 0.3951 8/667 [..............................] - ETA: 3:13 - loss: 57.7597 - logits_profile_predictions_loss: 57.3632 - logcount_predictions_loss: 0.3965 9/667 [..............................] - ETA: 3:13 - loss: 57.9618 - logits_profile_predictions_loss: 57.5424 - logcount_predictions_loss: 0.4194 10/667 [..............................] - ETA: 3:13 - loss: 58.0284 - logits_profile_predictions_loss: 57.6020 - logcount_predictions_loss: 0.4264 11/667 [..............................] - ETA: 3:12 - loss: 57.8643 - logits_profile_predictions_loss: 57.4428 - logcount_predictions_loss: 0.4215 12/667 [..............................] - ETA: 3:12 - loss: 57.8787 - logits_profile_predictions_loss: 57.4626 - logcount_predictions_loss: 0.4162 13/667 [..............................] - ETA: 3:12 - loss: 57.6354 - logits_profile_predictions_loss: 57.2222 - logcount_predictions_loss: 0.4132 14/667 [..............................] - ETA: 3:12 - loss: 57.4638 - logits_profile_predictions_loss: 57.0553 - logcount_predictions_loss: 0.4085 15/667 [..............................] - ETA: 3:11 - loss: 57.8460 - logits_profile_predictions_loss: 57.4320 - logcount_predictions_loss: 0.4140 16/667 [..............................] - ETA: 3:11 - loss: 57.2736 - logits_profile_predictions_loss: 56.8634 - logcount_predictions_loss: 0.4102 17/667 [..............................] - ETA: 3:11 - loss: 57.5609 - logits_profile_predictions_loss: 57.1463 - logcount_predictions_loss: 0.4146 18/667 [..............................] - ETA: 3:10 - loss: 58.3444 - logits_profile_predictions_loss: 57.9344 - logcount_predictions_loss: 0.4099 19/667 [..............................] - ETA: 3:10 - loss: 58.5145 - logits_profile_predictions_loss: 58.1015 - logcount_predictions_loss: 0.4130 20/667 [..............................] - ETA: 3:10 - loss: 58.8415 - logits_profile_predictions_loss: 58.4253 - logcount_predictions_loss: 0.4162 21/667 [..............................] - ETA: 3:10 - loss: 58.9846 - logits_profile_predictions_loss: 58.5745 - logcount_predictions_loss: 0.4101 22/667 [..............................] - ETA: 3:09 - loss: 59.0944 - 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ETA: 3:07 - loss: 59.3223 - logits_profile_predictions_loss: 58.9049 - logcount_predictions_loss: 0.4174 30/667 [>.............................] - ETA: 3:07 - loss: 59.1705 - logits_profile_predictions_loss: 58.7519 - logcount_predictions_loss: 0.4186 31/667 [>.............................] - ETA: 3:07 - loss: 58.8520 - logits_profile_predictions_loss: 58.4377 - logcount_predictions_loss: 0.4143 32/667 [>.............................] - ETA: 3:06 - loss: 58.9692 - logits_profile_predictions_loss: 58.5579 - logcount_predictions_loss: 0.4113 33/667 [>.............................] - ETA: 3:06 - loss: 58.8431 - logits_profile_predictions_loss: 58.4331 - logcount_predictions_loss: 0.4099 34/667 [>.............................] - ETA: 3:06 - loss: 58.8052 - logits_profile_predictions_loss: 58.3947 - logcount_predictions_loss: 0.4105 35/667 [>.............................] - ETA: 3:05 - loss: 58.7112 - logits_profile_predictions_loss: 58.3014 - logcount_predictions_loss: 0.4099 36/667 [>.............................] - ETA: 3:05 - loss: 58.5946 - logits_profile_predictions_loss: 58.1835 - logcount_predictions_loss: 0.4111 37/667 [>.............................] - ETA: 3:05 - loss: 58.5860 - logits_profile_predictions_loss: 58.1740 - logcount_predictions_loss: 0.4119 38/667 [>.............................] - ETA: 3:05 - loss: 58.3938 - logits_profile_predictions_loss: 57.9851 - logcount_predictions_loss: 0.4087 39/667 [>.............................] - ETA: 3:04 - loss: 58.6426 - logits_profile_predictions_loss: 58.2349 - logcount_predictions_loss: 0.4077 40/667 [>.............................] - ETA: 3:04 - loss: 58.3934 - logits_profile_predictions_loss: 57.9857 - logcount_predictions_loss: 0.4077 41/667 [>.............................] - ETA: 3:04 - loss: 58.3115 - logits_profile_predictions_loss: 57.9024 - logcount_predictions_loss: 0.4091 42/667 [>.............................] - ETA: 3:03 - loss: 58.0932 - logits_profile_predictions_loss: 57.6853 - logcount_predictions_loss: 0.4079 43/667 [>.............................] - ETA: 3:03 - loss: 58.2057 - logits_profile_predictions_loss: 57.7972 - logcount_predictions_loss: 0.4085 44/667 [>.............................] - ETA: 3:03 - loss: 58.4069 - logits_profile_predictions_loss: 58.0018 - logcount_predictions_loss: 0.4052 45/667 [=>............................] - ETA: 3:03 - loss: 58.6111 - logits_profile_predictions_loss: 58.1996 - logcount_predictions_loss: 0.4115 46/667 [=>............................] - ETA: 3:02 - loss: 58.4799 - logits_profile_predictions_loss: 58.0688 - logcount_predictions_loss: 0.4111 47/667 [=>............................] - ETA: 3:02 - loss: 58.5785 - logits_profile_predictions_loss: 58.1663 - logcount_predictions_loss: 0.4123 48/667 [=>............................] - ETA: 3:02 - loss: 58.6972 - logits_profile_predictions_loss: 58.2829 - logcount_predictions_loss: 0.4143 49/667 [=>............................] - ETA: 3:01 - loss: 58.8180 - logits_profile_predictions_loss: 58.4046 - logcount_predictions_loss: 0.4134 50/667 [=>............................] - ETA: 3:01 - loss: 58.6794 - logits_profile_predictions_loss: 58.2669 - logcount_predictions_loss: 0.4125 51/667 [=>............................] - ETA: 3:01 - loss: 58.6496 - logits_profile_predictions_loss: 58.2387 - logcount_predictions_loss: 0.4109 52/667 [=>............................] - ETA: 3:01 - loss: 58.6151 - logits_profile_predictions_loss: 58.2063 - logcount_predictions_loss: 0.4089 53/667 [=>............................] - ETA: 3:00 - loss: 58.6909 - logits_profile_predictions_loss: 58.2825 - logcount_predictions_loss: 0.4084 54/667 [=>............................] - ETA: 3:00 - loss: 58.6443 - logits_profile_predictions_loss: 58.2355 - logcount_predictions_loss: 0.4088 55/667 [=>............................] - ETA: 3:00 - loss: 58.6738 - logits_profile_predictions_loss: 58.2631 - logcount_predictions_loss: 0.4107 56/667 [=>............................] - ETA: 2:59 - loss: 58.6967 - logits_profile_predictions_loss: 58.2862 - logcount_predictions_loss: 0.4105 57/667 [=>............................] - ETA: 2:59 - loss: 58.7976 - logits_profile_predictions_loss: 58.3878 - logcount_predictions_loss: 0.4098 58/667 [=>............................] - ETA: 2:59 - loss: 58.7375 - logits_profile_predictions_loss: 58.3269 - logcount_predictions_loss: 0.4106 59/667 [=>............................] - ETA: 2:58 - loss: 58.8729 - logits_profile_predictions_loss: 58.4645 - logcount_predictions_loss: 0.4084 60/667 [=>............................] - ETA: 2:58 - loss: 58.8708 - logits_profile_predictions_loss: 58.4638 - logcount_predictions_loss: 0.4070 61/667 [=>............................] - ETA: 2:58 - loss: 59.0472 - logits_profile_predictions_loss: 58.6395 - logcount_predictions_loss: 0.4077 62/667 [=>............................] - ETA: 2:58 - loss: 58.9779 - logits_profile_predictions_loss: 58.5723 - logcount_predictions_loss: 0.4057 63/667 [=>............................] - ETA: 2:57 - loss: 58.9638 - logits_profile_predictions_loss: 58.5568 - logcount_predictions_loss: 0.4070 64/667 [=>............................] - ETA: 2:57 - loss: 58.8083 - logits_profile_predictions_loss: 58.4026 - logcount_predictions_loss: 0.4056 65/667 [=>............................] - ETA: 2:57 - loss: 58.6911 - logits_profile_predictions_loss: 58.2854 - logcount_predictions_loss: 0.4057 66/667 [=>............................] - ETA: 2:56 - loss: 58.6331 - logits_profile_predictions_loss: 58.2281 - logcount_predictions_loss: 0.4050 67/667 [==>...........................] - ETA: 2:56 - loss: 58.6784 - logits_profile_predictions_loss: 58.2741 - logcount_predictions_loss: 0.4042 68/667 [==>...........................] - ETA: 2:56 - loss: 58.8036 - logits_profile_predictions_loss: 58.3997 - logcount_predictions_loss: 0.4039 69/667 [==>...........................] - ETA: 2:56 - loss: 58.7596 - logits_profile_predictions_loss: 58.3567 - 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logcount_predictions_loss: 0.4125 97/667 [===>..........................] - ETA: 2:47 - loss: 58.7815 - logits_profile_predictions_loss: 58.3691 - logcount_predictions_loss: 0.4124 98/667 [===>..........................] - ETA: 2:47 - loss: 58.7726 - logits_profile_predictions_loss: 58.3604 - logcount_predictions_loss: 0.4122 99/667 [===>..........................] - ETA: 2:47 - loss: 58.8522 - logits_profile_predictions_loss: 58.4399 - logcount_predictions_loss: 0.4124 100/667 [===>..........................] - ETA: 2:46 - loss: 58.9027 - logits_profile_predictions_loss: 58.4905 - logcount_predictions_loss: 0.4122 101/667 [===>..........................] - ETA: 2:46 - loss: 58.9592 - logits_profile_predictions_loss: 58.5461 - logcount_predictions_loss: 0.4131 102/667 [===>..........................] - ETA: 2:46 - loss: 59.0073 - logits_profile_predictions_loss: 58.5943 - logcount_predictions_loss: 0.4129 103/667 [===>..........................] - ETA: 2:46 - loss: 59.0869 - 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[===>..........................] - ETA: 2:44 - loss: 59.0605 - logits_profile_predictions_loss: 58.6478 - logcount_predictions_loss: 0.4126 111/667 [===>..........................] - ETA: 2:43 - loss: 59.1155 - logits_profile_predictions_loss: 58.7007 - logcount_predictions_loss: 0.4148 112/667 [====>.........................] - ETA: 2:43 - loss: 59.1525 - logits_profile_predictions_loss: 58.7367 - logcount_predictions_loss: 0.4158 113/667 [====>.........................] - ETA: 2:43 - loss: 59.2404 - logits_profile_predictions_loss: 58.8231 - logcount_predictions_loss: 0.4173 114/667 [====>.........................] - ETA: 2:42 - loss: 59.4053 - logits_profile_predictions_loss: 58.9881 - logcount_predictions_loss: 0.4172 115/667 [====>.........................] - ETA: 2:42 - loss: 59.4044 - logits_profile_predictions_loss: 58.9859 - logcount_predictions_loss: 0.4185 116/667 [====>.........................] - ETA: 2:42 - loss: 59.3550 - logits_profile_predictions_loss: 58.9370 - 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[====>.........................] - ETA: 2:38 - loss: 59.4063 - logits_profile_predictions_loss: 58.9850 - logcount_predictions_loss: 0.4214 131/667 [====>.........................] - ETA: 2:37 - loss: 59.3973 - logits_profile_predictions_loss: 58.9762 - logcount_predictions_loss: 0.4211 132/667 [====>.........................] - ETA: 2:37 - loss: 59.4007 - logits_profile_predictions_loss: 58.9800 - logcount_predictions_loss: 0.4208 133/667 [====>.........................] - ETA: 2:37 - loss: 59.3850 - logits_profile_predictions_loss: 58.9645 - logcount_predictions_loss: 0.4204 134/667 [=====>........................] - ETA: 2:37 - loss: 59.3377 - logits_profile_predictions_loss: 58.9170 - logcount_predictions_loss: 0.4207 135/667 [=====>........................] - ETA: 2:36 - loss: 59.3238 - logits_profile_predictions_loss: 58.9037 - logcount_predictions_loss: 0.4201 136/667 [=====>........................] - ETA: 2:36 - loss: 59.4355 - logits_profile_predictions_loss: 59.0159 - 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[=====>........................] - ETA: 2:32 - loss: 59.5493 - logits_profile_predictions_loss: 59.1319 - logcount_predictions_loss: 0.4175 151/667 [=====>........................] - ETA: 2:32 - loss: 59.5752 - logits_profile_predictions_loss: 59.1584 - logcount_predictions_loss: 0.4168 152/667 [=====>........................] - ETA: 2:31 - loss: 59.5471 - logits_profile_predictions_loss: 59.1310 - logcount_predictions_loss: 0.4162 153/667 [=====>........................] - ETA: 2:31 - loss: 59.6064 - logits_profile_predictions_loss: 59.1893 - logcount_predictions_loss: 0.4171 154/667 [=====>........................] - ETA: 2:31 - loss: 59.6057 - logits_profile_predictions_loss: 59.1887 - logcount_predictions_loss: 0.4170 155/667 [=====>........................] - ETA: 2:31 - loss: 59.5689 - logits_profile_predictions_loss: 59.1517 - logcount_predictions_loss: 0.4173 156/667 [======>.......................] - ETA: 2:30 - loss: 59.6080 - logits_profile_predictions_loss: 59.1911 - 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[======>.......................] - ETA: 2:26 - loss: 59.5713 - logits_profile_predictions_loss: 59.1580 - logcount_predictions_loss: 0.4133 171/667 [======>.......................] - ETA: 2:26 - loss: 59.5808 - logits_profile_predictions_loss: 59.1674 - logcount_predictions_loss: 0.4134 173/667 [======>.......................] - ETA: 2:25 - loss: 59.5725 - logits_profile_predictions_loss: 59.1595 - logcount_predictions_loss: 0.4130 174/667 [======>.......................] - ETA: 2:24 - loss: 59.6270 - logits_profile_predictions_loss: 59.2143 - logcount_predictions_loss: 0.4127 175/667 [======>.......................] - ETA: 2:24 - loss: 59.5990 - logits_profile_predictions_loss: 59.1866 - logcount_predictions_loss: 0.4125 176/667 [======>.......................] - ETA: 2:24 - loss: 59.5638 - logits_profile_predictions_loss: 59.1515 - logcount_predictions_loss: 0.4123 177/667 [======>.......................] - ETA: 2:23 - loss: 59.5660 - logits_profile_predictions_loss: 59.1539 - 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[=======>......................] - ETA: 2:19 - loss: 59.6082 - logits_profile_predictions_loss: 59.1988 - logcount_predictions_loss: 0.4094 192/667 [=======>......................] - ETA: 2:19 - loss: 59.5968 - logits_profile_predictions_loss: 59.1870 - logcount_predictions_loss: 0.4098 193/667 [=======>......................] - ETA: 2:19 - loss: 59.5813 - logits_profile_predictions_loss: 59.1723 - logcount_predictions_loss: 0.4091 194/667 [=======>......................] - ETA: 2:18 - loss: 59.6082 - logits_profile_predictions_loss: 59.1981 - logcount_predictions_loss: 0.4101 195/667 [=======>......................] - ETA: 2:18 - loss: 59.6145 - logits_profile_predictions_loss: 59.2045 - logcount_predictions_loss: 0.4101 196/667 [=======>......................] - ETA: 2:18 - loss: 59.6452 - logits_profile_predictions_loss: 59.2348 - logcount_predictions_loss: 0.4104 197/667 [=======>......................] - ETA: 2:18 - loss: 59.6522 - logits_profile_predictions_loss: 59.2403 - 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logits_profile_predictions_loss: 59.7367 - logcount_predictions_loss: 0.4163 654/667 [============================>.] - ETA: 3s - loss: 60.1580 - logits_profile_predictions_loss: 59.7416 - logcount_predictions_loss: 0.4164 655/667 [============================>.] - ETA: 3s - loss: 60.1444 - logits_profile_predictions_loss: 59.7282 - logcount_predictions_loss: 0.4162 656/667 [============================>.] - ETA: 3s - loss: 60.1356 - logits_profile_predictions_loss: 59.7194 - logcount_predictions_loss: 0.4161 657/667 [============================>.] - ETA: 2s - loss: 60.1236 - logits_profile_predictions_loss: 59.7076 - logcount_predictions_loss: 0.4160 658/667 [============================>.] - ETA: 2s - loss: 60.1451 - logits_profile_predictions_loss: 59.7287 - logcount_predictions_loss: 0.4163 659/667 [============================>.] - ETA: 2s - loss: 60.1353 - logits_profile_predictions_loss: 59.7189 - logcount_predictions_loss: 0.4163 660/667 [============================>.] - ETA: 2s - loss: 60.1319 - logits_profile_predictions_loss: 59.7155 - logcount_predictions_loss: 0.4163 661/667 [============================>.] - ETA: 1s - loss: 60.1270 - logits_profile_predictions_loss: 59.7106 - logcount_predictions_loss: 0.4164 662/667 [============================>.] - ETA: 1s - loss: 60.1568 - logits_profile_predictions_loss: 59.7403 - logcount_predictions_loss: 0.4164 663/667 [============================>.] - ETA: 1s - loss: 60.1508 - logits_profile_predictions_loss: 59.7345 - logcount_predictions_loss: 0.4162 664/667 [============================>.] - ETA: 0s - loss: 60.1625 - logits_profile_predictions_loss: 59.7464 - logcount_predictions_loss: 0.4161 665/667 [============================>.] - ETA: 0s - loss: 60.1709 - logits_profile_predictions_loss: 59.7546 - logcount_predictions_loss: 0.4162 666/667 [============================>.] - ETA: 0s - loss: 60.1838 - logits_profile_predictions_loss: 59.7676 - logcount_predictions_loss: 0.4161 667/667 [==============================] - ETA: 0s - loss: 60.1969 - logits_profile_predictions_loss: 59.7807 - logcount_predictions_loss: 0.4162 Epoch 11: val_loss did not improve from 79.54640 Restoring model weights from the end of the best epoch: 6.  667/667 [==============================] - 217s 326ms/step - loss: 60.1969 - logits_profile_predictions_loss: 59.7807 - logcount_predictions_loss: 0.4162 - val_loss: 81.7959 - val_logits_profile_predictions_loss: 81.2217 - val_logcount_predictions_loss: 0.5743 Epoch 11: early stopping save model save model without bias got the model loading peaks... got split:test for bed regions:(10789, 10) 0/169 100/169 MOTIF_NAME MOTIF_PWM_FWD 0 tn5_1 GCACAGTACAGAGCTG 1 tn5_2 GTGCACAGTTCTAGAGTGTGCAG 2 tn5_3 CCTCTACACTGTGCAGAA 3 tn5_4 GCACAGTTCTAGACTGTGCAG 4 tn5_5 CTGCACAGTGTAGAGTTGTGC got the model Model: "model_1" __________________________________________________________________________________________________ Layer (type) Output Shape Param # Connected to ================================================================================================== sequence (InputLayer) [(None, 2114, 4)] 0 [] wo_bias_bpnet_1st_conv (Conv1D (None, 2094, 512) 43520 ['sequence[0][0]'] ) wo_bias_bpnet_1conv (Conv1D) (None, 2090, 512) 786944 ['wo_bias_bpnet_1st_conv[0][0]'] wo_bias_bpnet_1crop (Cropping1 (None, 2090, 512) 0 ['wo_bias_bpnet_1st_conv[0][0]'] D) add (Add) (None, 2090, 512) 0 ['wo_bias_bpnet_1conv[0][0]', 'wo_bias_bpnet_1crop[0][0]'] wo_bias_bpnet_2conv (Conv1D) (None, 2082, 512) 786944 ['add[0][0]'] wo_bias_bpnet_2crop (Cropping1 (None, 2082, 512) 0 ['add[0][0]'] D) add_1 (Add) (None, 2082, 512) 0 ['wo_bias_bpnet_2conv[0][0]', 'wo_bias_bpnet_2crop[0][0]'] wo_bias_bpnet_3conv (Conv1D) (None, 2066, 512) 786944 ['add_1[0][0]'] wo_bias_bpnet_3crop (Cropping1 (None, 2066, 512) 0 ['add_1[0][0]'] D) add_2 (Add) (None, 2066, 512) 0 ['wo_bias_bpnet_3conv[0][0]', 'wo_bias_bpnet_3crop[0][0]'] wo_bias_bpnet_4conv (Conv1D) (None, 2034, 512) 786944 ['add_2[0][0]'] wo_bias_bpnet_4crop (Cropping1 (None, 2034, 512) 0 ['add_2[0][0]'] D) add_3 (Add) (None, 2034, 512) 0 ['wo_bias_bpnet_4conv[0][0]', 'wo_bias_bpnet_4crop[0][0]'] wo_bias_bpnet_5conv (Conv1D) (None, 1970, 512) 786944 ['add_3[0][0]'] wo_bias_bpnet_5crop (Cropping1 (None, 1970, 512) 0 ['add_3[0][0]'] D) add_4 (Add) (None, 1970, 512) 0 ['wo_bias_bpnet_5conv[0][0]', 'wo_bias_bpnet_5crop[0][0]'] wo_bias_bpnet_6conv (Conv1D) (None, 1842, 512) 786944 ['add_4[0][0]'] wo_bias_bpnet_6crop (Cropping1 (None, 1842, 512) 0 ['add_4[0][0]'] D) add_5 (Add) (None, 1842, 512) 0 ['wo_bias_bpnet_6conv[0][0]', 'wo_bias_bpnet_6crop[0][0]'] wo_bias_bpnet_7conv (Conv1D) (None, 1586, 512) 786944 ['add_5[0][0]'] wo_bias_bpnet_7crop (Cropping1 (None, 1586, 512) 0 ['add_5[0][0]'] D) add_6 (Add) (None, 1586, 512) 0 ['wo_bias_bpnet_7conv[0][0]', 'wo_bias_bpnet_7crop[0][0]'] wo_bias_bpnet_8conv (Conv1D) (None, 1074, 512) 786944 ['add_6[0][0]'] wo_bias_bpnet_8crop (Cropping1 (None, 1074, 512) 0 ['add_6[0][0]'] D) add_7 (Add) (None, 1074, 512) 0 ['wo_bias_bpnet_8conv[0][0]', 'wo_bias_bpnet_8crop[0][0]'] wo_bias_bpnet_prof_out_precrop (None, 1000, 1) 38401 ['add_7[0][0]'] (Conv1D) wo_bias_bpnet_logitt_before_fl (None, 1000, 1) 0 ['wo_bias_bpnet_prof_out_precrop[ atten (Cropping1D) 0][0]'] gap (GlobalAveragePooling1D) (None, 512) 0 ['add_7[0][0]'] wo_bias_bpnet_logits_profile_p (None, 1000) 0 ['wo_bias_bpnet_logitt_before_fla redictions (Flatten) tten[0][0]'] wo_bias_bpnet_logcount_predict (None, 1) 513 ['gap[0][0]'] ions (Dense) ================================================================================================== Total params: 6,377,986 Trainable params: 6,377,986 Non-trainable params: 0 __________________________________________________________________________________________________ inferred model inputlen: 2114 inferred model outputlen: 1000 inserting motif: control 1/169 [..............................] - ETA: 28s 2/169 [..............................] - ETA: 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__________________________________________________________________________________________________ Layer (type) Output Shape Param # Connected to ================================================================================================== sequence (InputLayer) [(None, 2114, 4)] 0 [] wo_bias_bpnet_1st_conv (Conv1D (None, 2094, 512) 43520 ['sequence[0][0]'] ) wo_bias_bpnet_1conv (Conv1D) (None, 2090, 512) 786944 ['wo_bias_bpnet_1st_conv[0][0]'] wo_bias_bpnet_1crop (Cropping1 (None, 2090, 512) 0 ['wo_bias_bpnet_1st_conv[0][0]'] D) add (Add) (None, 2090, 512) 0 ['wo_bias_bpnet_1conv[0][0]', 'wo_bias_bpnet_1crop[0][0]'] wo_bias_bpnet_2conv (Conv1D) (None, 2082, 512) 786944 ['add[0][0]'] wo_bias_bpnet_2crop (Cropping1 (None, 2082, 512) 0 ['add[0][0]'] D) add_1 (Add) (None, 2082, 512) 0 ['wo_bias_bpnet_2conv[0][0]', 'wo_bias_bpnet_2crop[0][0]'] wo_bias_bpnet_3conv (Conv1D) (None, 2066, 512) 786944 ['add_1[0][0]'] wo_bias_bpnet_3crop (Cropping1 (None, 2066, 512) 0 ['add_1[0][0]'] D) add_2 (Add) (None, 2066, 512) 0 ['wo_bias_bpnet_3conv[0][0]', 'wo_bias_bpnet_3crop[0][0]'] wo_bias_bpnet_4conv (Conv1D) (None, 2034, 512) 786944 ['add_2[0][0]'] wo_bias_bpnet_4crop (Cropping1 (None, 2034, 512) 0 ['add_2[0][0]'] D) add_3 (Add) (None, 2034, 512) 0 ['wo_bias_bpnet_4conv[0][0]', 'wo_bias_bpnet_4crop[0][0]'] wo_bias_bpnet_5conv (Conv1D) (None, 1970, 512) 786944 ['add_3[0][0]'] wo_bias_bpnet_5crop (Cropping1 (None, 1970, 512) 0 ['add_3[0][0]'] D) add_4 (Add) (None, 1970, 512) 0 ['wo_bias_bpnet_5conv[0][0]', 'wo_bias_bpnet_5crop[0][0]'] wo_bias_bpnet_6conv (Conv1D) (None, 1842, 512) 786944 ['add_4[0][0]'] wo_bias_bpnet_6crop (Cropping1 (None, 1842, 512) 0 ['add_4[0][0]'] D) add_5 (Add) (None, 1842, 512) 0 ['wo_bias_bpnet_6conv[0][0]', 'wo_bias_bpnet_6crop[0][0]'] wo_bias_bpnet_7conv (Conv1D) (None, 1586, 512) 786944 ['add_5[0][0]'] wo_bias_bpnet_7crop (Cropping1 (None, 1586, 512) 0 ['add_5[0][0]'] D) add_6 (Add) (None, 1586, 512) 0 ['wo_bias_bpnet_7conv[0][0]', 'wo_bias_bpnet_7crop[0][0]'] wo_bias_bpnet_8conv (Conv1D) (None, 1074, 512) 786944 ['add_6[0][0]'] wo_bias_bpnet_8crop (Cropping1 (None, 1074, 512) 0 ['add_6[0][0]'] D) add_7 (Add) (None, 1074, 512) 0 ['wo_bias_bpnet_8conv[0][0]', 'wo_bias_bpnet_8crop[0][0]'] wo_bias_bpnet_prof_out_precrop (None, 1000, 1) 38401 ['add_7[0][0]'] (Conv1D) wo_bias_bpnet_logitt_before_fl (None, 1000, 1) 0 ['wo_bias_bpnet_prof_out_precrop[ atten (Cropping1D) 0][0]'] gap (GlobalAveragePooling1D) (None, 512) 0 ['add_7[0][0]'] wo_bias_bpnet_logits_profile_p (None, 1000) 0 ['wo_bias_bpnet_logitt_before_fla redictions (Flatten) tten[0][0]'] wo_bias_bpnet_logcount_predict (None, 1) 513 ['gap[0][0]'] ions (Dense) ================================================================================================== Total params: 6,377,986 Trainable params: 6,377,986 Non-trainable params: 0 __________________________________________________________________________________________________ inferred model inputlen: 2114 Seqs dimension : (30000, 2114, 4) Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: StopGradient used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Generating 'profile' shap scores Done 0 examples of 30000 Done 100 examples of 30000 Done 200 examples of 30000 Done 300 examples of 30000 Done 400 examples of 30000 Done 500 examples of 30000 Done 600 examples of 30000 Done 700 examples of 30000 Done 800 examples of 30000 Done 900 examples of 30000 Done 1000 examples of 30000 Done 1100 examples of 30000 Done 1200 examples of 30000 Done 1300 examples of 30000 Done 1400 examples of 30000 Done 1500 examples of 30000 Done 1600 examples of 30000 Done 1700 examples of 30000 Done 1800 examples of 30000 Done 1900 examples of 30000 Done 2000 examples of 30000 Done 2100 examples of 30000 Done 2200 examples of 30000 Done 2300 examples of 30000 Done 2400 examples of 30000 Done 2500 examples of 30000 Done 2600 examples of 30000 Done 2700 examples of 30000 Done 2800 examples of 30000 Done 2900 examples of 30000 Done 3000 examples of 30000 Done 3100 examples of 30000 Done 3200 examples of 30000 Done 3300 examples of 30000 Done 3400 examples of 30000 Done 3500 examples of 30000 Done 3600 examples of 30000 Done 3700 examples of 30000 Done 3800 examples of 30000 Done 3900 examples of 30000 Done 4000 examples of 30000 Done 4100 examples of 30000 Done 4200 examples of 30000 Done 4300 examples of 30000 Done 4400 examples of 30000 Done 4500 examples of 30000 Done 4600 examples of 30000 Done 4700 examples of 30000 Done 4800 examples of 30000 Done 4900 examples of 30000 Done 5000 examples of 30000 Done 5100 examples of 30000 Done 5200 examples of 30000 Done 5300 examples of 30000 Done 5400 examples of 30000 Done 5500 examples of 30000 Done 5600 examples of 30000 Done 5700 examples of 30000 Done 5800 examples of 30000 Done 5900 examples of 30000 Done 6000 examples of 30000 Done 6100 examples of 30000 Done 6200 examples of 30000 Done 6300 examples of 30000 Done 6400 examples of 30000 Done 6500 examples of 30000 Done 6600 examples of 30000 Done 6700 examples of 30000 Done 6800 examples of 30000 Done 6900 examples of 30000 Done 7000 examples of 30000 Done 7100 examples of 30000 Done 7200 examples of 30000 Done 7300 examples of 30000 Done 7400 examples of 30000 Done 7500 examples of 30000 Done 7600 examples of 30000 Done 7700 examples of 30000 Done 7800 examples of 30000 Done 7900 examples of 30000 Done 8000 examples of 30000 Done 8100 examples of 30000 Done 8200 examples of 30000 Done 8300 examples of 30000 Done 8400 examples of 30000 Done 8500 examples of 30000 Done 8600 examples of 30000 Done 8700 examples of 30000 Done 8800 examples of 30000 Done 8900 examples of 30000 Done 9000 examples of 30000 Done 9100 examples of 30000 Done 9200 examples of 30000 Done 9300 examples of 30000 Done 9400 examples of 30000 Done 9500 examples of 30000 Done 9600 examples of 30000 Done 9700 examples of 30000 Done 9800 examples of 30000 Done 9900 examples of 30000 Done 10000 examples of 30000 Done 10100 examples of 30000 Done 10200 examples of 30000 Done 10300 examples of 30000 Done 10400 examples of 30000 Done 10500 examples of 30000 Done 10600 examples of 30000 Done 10700 examples of 30000 Done 10800 examples of 30000 Done 10900 examples of 30000 Done 11000 examples of 30000 Done 11100 examples of 30000 Done 11200 examples of 30000 Done 11300 examples of 30000 Done 11400 examples of 30000 Done 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of 30000 Done 15000 examples of 30000 Done 15100 examples of 30000 Done 15200 examples of 30000 Done 15300 examples of 30000 Done 15400 examples of 30000 Done 15500 examples of 30000 Done 15600 examples of 30000 Done 15700 examples of 30000 Done 15800 examples of 30000 Done 15900 examples of 30000 Done 16000 examples of 30000 Done 16100 examples of 30000 Done 16200 examples of 30000 Done 16300 examples of 30000 Done 16400 examples of 30000 Done 16500 examples of 30000 Done 16600 examples of 30000 Done 16700 examples of 30000 Done 16800 examples of 30000 Done 16900 examples of 30000 Done 17000 examples of 30000 Done 17100 examples of 30000 Done 17200 examples of 30000 Done 17300 examples of 30000 Done 17400 examples of 30000 Done 17500 examples of 30000 Done 17600 examples of 30000 Done 17700 examples of 30000 Done 17800 examples of 30000 Done 17900 examples of 30000 Done 18000 examples of 30000 Done 18100 examples of 30000 Done 18200 examples of 30000 Done 18300 examples of 30000 Done 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of 30000 Done 21900 examples of 30000 Done 22000 examples of 30000 Done 22100 examples of 30000 Done 22200 examples of 30000 Done 22300 examples of 30000 Done 22400 examples of 30000 Done 22500 examples of 30000 Done 22600 examples of 30000 Done 22700 examples of 30000 Done 22800 examples of 30000 Done 22900 examples of 30000 Done 23000 examples of 30000 Done 23100 examples of 30000 Done 23200 examples of 30000 Done 23300 examples of 30000 Done 23400 examples of 30000 Done 23500 examples of 30000 Done 23600 examples of 30000 Done 23700 examples of 30000 Done 23800 examples of 30000 Done 23900 examples of 30000 Done 24000 examples of 30000 Done 24100 examples of 30000 Done 24200 examples of 30000 Done 24300 examples of 30000 Done 24400 examples of 30000 Done 24500 examples of 30000 Done 24600 examples of 30000 Done 24700 examples of 30000 Done 24800 examples of 30000 Done 24900 examples of 30000 Done 25000 examples of 30000 Done 25100 examples of 30000 Done 25200 examples of 30000 Done 25300 examples of 30000 Done 25400 examples of 30000 Done 25500 examples of 30000 Done 25600 examples of 30000 Done 25700 examples of 30000 Done 25800 examples of 30000 Done 25900 examples of 30000 Done 26000 examples of 30000 Done 26100 examples of 30000 Done 26200 examples of 30000 Done 26300 examples of 30000 Done 26400 examples of 30000 Done 26500 examples of 30000 Done 26600 examples of 30000 Done 26700 examples of 30000 Done 26800 examples of 30000 Done 26900 examples of 30000 Done 27000 examples of 30000 Done 27100 examples of 30000 Done 27200 examples of 30000 Done 27300 examples of 30000 Done 27400 examples of 30000 Done 27500 examples of 30000 Done 27600 examples of 30000 Done 27700 examples of 30000 Done 27800 examples of 30000 Done 27900 examples of 30000 Done 28000 examples of 30000 Done 28100 examples of 30000 Done 28200 examples of 30000 Done 28300 examples of 30000 Done 28400 examples of 30000 Done 28500 examples of 30000 Done 28600 examples of 30000 Done 28700 examples of 30000 Done 28800 examples of 30000 Done 28900 examples of 30000 Done 29000 examples of 30000 Done 29100 examples of 30000 Done 29200 examples of 30000 Done 29300 examples of 30000 Done 29400 examples of 30000 Done 29500 examples of 30000 Done 29600 examples of 30000 Done 29700 examples of 30000 Done 29800 examples of 30000 Done 29900 examples of 30000 Saving 'profile' scores