Live Found logdir. Deleting previous model 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: 152224 evaluating hyperparameters on the following chromosomes ['chr1', 'chr2', 'chr3', 'chr4', 'chr7', 'chr8', 'chr9', 'chr11', 'chr12', 'chr13', 'chr15', 'chr16', 'chr17', 'chr19', 'chrX', 'chrY', 'chr6', 'chr21'] Number of peaks input: 43653 Number of peaks filtered because the input/output is on the edge: 0 Number of peaks being used: 43653 Number of peaks input: 10890 Number of peaks filtered because the input/output is on the edge: 0 Number of peaks being used: 10890 Number of non peaks input: 87306 Number of non peaks filtered because the input/output is on the edge: 0 Number of non peaks being used: 87306 Number of non peaks input: 10890 Number of non peaks filtered because the input/output is on the edge: 0 Number of non peaks being used: 10890 Number of peaks after removing outliers: 43648 Number of nonpeaks after removing outliers: 35690 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 1/1116 [..............................] - ETA: 27:23 6/1116 [..............................] - ETA: 12s  10/1116 [..............................] - ETA: 12s 14/1116 [..............................] - ETA: 13s 18/1116 [..............................] - ETA: 13s 22/1116 [..............................] - ETA: 13s 26/1116 [..............................] - ETA: 14s 31/1116 [..............................] - ETA: 13s 35/1116 [..............................] - ETA: 13s 39/1116 [>.............................] - ETA: 13s 43/1116 [>.............................] - ETA: 13s 47/1116 [>.............................] - ETA: 13s 51/1116 [>.............................] - ETA: 13s 55/1116 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1113/1116 [============================>.] - ETA: 0s 1116/1116 [==============================] - ETA: 0s 1116/1116 [==============================] - 16s 13ms/step got the model loading peaks... got split:test for bed regions:(10890, 10) 0/171 100/171 Bias model pearsonr performance in peaks is: -0.04 {'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_3/models/bias_model_scaled.h5', 'inputlen': '2114', 'outputlen': '1000', 'max_jitter': '500', 'chr_fold_path': '/oak/stanford/groups/akundaje/soumyak/refs/hg38/splits/fold_3.json', 'negative_sampling_ratio': '0.1'} got the model loading peaks... got split:train for bed regions:(39828, 10) loading nonpeaks... got split:train for bed regions:(32960, 10) loading peaks... got split:valid for bed regions:(3820, 10) loading nonpeaks... got split:valid for bed regions:(2730, 10) Epoch 1/50 1/685 [..............................] - ETA: 1:10:50 - loss: 78.1272 - logits_profile_predictions_loss: 75.7104 - logcount_predictions_loss: 2.4168 2/685 [..............................] - ETA: 8:13 - loss: 200.8437 - logits_profile_predictions_loss: 74.4854 - logcount_predictions_loss: 126.3582 3/685 [..............................] - ETA: 8:13 - loss: 157.6069 - logits_profile_predictions_loss: 72.6075 - logcount_predictions_loss: 84.9995  4/685 [..............................] - ETA: 8:11 - loss: 134.6457 - logits_profile_predictions_loss: 70.3588 - logcount_predictions_loss: 64.2869 5/685 [..............................] - ETA: 8:10 - loss: 120.8246 - logits_profile_predictions_loss: 68.9792 - logcount_predictions_loss: 51.8453 6/685 [..............................] - ETA: 8:09 - loss: 113.3063 - logits_profile_predictions_loss: 69.6777 - logcount_predictions_loss: 43.6285 7/685 [..............................] - ETA: 8:08 - loss: 103.9411 - logits_profile_predictions_loss: 66.3623 - logcount_predictions_loss: 37.5788 8/685 [..............................] - ETA: 8:07 - loss: 101.5000 - logits_profile_predictions_loss: 68.2453 - logcount_predictions_loss: 33.2547 9/685 [..............................] - ETA: 8:06 - loss: 96.1770 - logits_profile_predictions_loss: 66.4257 - logcount_predictions_loss: 29.7513  10/685 [..............................] - ETA: 8:05 - loss: 94.9671 - logits_profile_predictions_loss: 67.8826 - logcount_predictions_loss: 27.0844 11/685 [..............................] - ETA: 8:04 - loss: 92.4932 - logits_profile_predictions_loss: 67.6798 - logcount_predictions_loss: 24.8135 12/685 [..............................] - ETA: 8:03 - loss: 91.3661 - logits_profile_predictions_loss: 68.3886 - logcount_predictions_loss: 22.9774 13/685 [..............................] - ETA: 8:02 - loss: 89.9961 - logits_profile_predictions_loss: 68.5987 - logcount_predictions_loss: 21.3974 14/685 [..............................] - ETA: 8:01 - loss: 88.3453 - logits_profile_predictions_loss: 68.3163 - logcount_predictions_loss: 20.0290 15/685 [..............................] - ETA: 8:00 - loss: 87.9498 - logits_profile_predictions_loss: 69.0639 - logcount_predictions_loss: 18.8859 16/685 [..............................] - ETA: 7:59 - loss: 87.1663 - logits_profile_predictions_loss: 69.2943 - logcount_predictions_loss: 17.8720 17/685 [..............................] - ETA: 7:59 - loss: 86.0315 - logits_profile_predictions_loss: 69.0752 - logcount_predictions_loss: 16.9563 18/685 [..............................] - ETA: 7:58 - loss: 85.6801 - logits_profile_predictions_loss: 69.5111 - logcount_predictions_loss: 16.1691 19/685 [..............................] - ETA: 7:58 - loss: 85.3402 - logits_profile_predictions_loss: 69.8748 - logcount_predictions_loss: 15.4654 20/685 [..............................] - ETA: 7:57 - loss: 84.8969 - logits_profile_predictions_loss: 70.0678 - logcount_predictions_loss: 14.8291 21/685 [..............................] - ETA: 7:56 - loss: 84.1873 - logits_profile_predictions_loss: 69.9569 - logcount_predictions_loss: 14.2304 22/685 [..............................] - ETA: 7:56 - loss: 83.4030 - logits_profile_predictions_loss: 69.7201 - logcount_predictions_loss: 13.6828 23/685 [>.............................] - ETA: 7:55 - loss: 82.8241 - logits_profile_predictions_loss: 69.6307 - logcount_predictions_loss: 13.1933 24/685 [>.............................] - ETA: 7:55 - loss: 82.2052 - logits_profile_predictions_loss: 69.4743 - logcount_predictions_loss: 12.7309 25/685 [>.............................] - ETA: 7:54 - loss: 81.8357 - logits_profile_predictions_loss: 69.5180 - logcount_predictions_loss: 12.3177 26/685 [>.............................] - ETA: 7:53 - loss: 81.8931 - logits_profile_predictions_loss: 69.9379 - logcount_predictions_loss: 11.9552 27/685 [>.............................] - ETA: 7:53 - loss: 81.5025 - logits_profile_predictions_loss: 69.9001 - logcount_predictions_loss: 11.6024 28/685 [>.............................] - ETA: 7:52 - loss: 81.1832 - logits_profile_predictions_loss: 69.9041 - logcount_predictions_loss: 11.2791 29/685 [>.............................] - ETA: 7:51 - loss: 81.4420 - logits_profile_predictions_loss: 70.4450 - logcount_predictions_loss: 10.9970 30/685 [>.............................] - ETA: 7:50 - loss: 81.3718 - logits_profile_predictions_loss: 70.6482 - logcount_predictions_loss: 10.7236 31/685 [>.............................] - ETA: 7:50 - loss: 81.4983 - logits_profile_predictions_loss: 71.0198 - logcount_predictions_loss: 10.4784 32/685 [>.............................] - ETA: 7:49 - loss: 81.2929 - logits_profile_predictions_loss: 71.0611 - logcount_predictions_loss: 10.2317 33/685 [>.............................] - ETA: 7:50 - loss: 81.1308 - logits_profile_predictions_loss: 71.1262 - logcount_predictions_loss: 10.0045 34/685 [>.............................] - ETA: 7:49 - loss: 81.2169 - logits_profile_predictions_loss: 71.4201 - logcount_predictions_loss: 9.7968  35/685 [>.............................] - ETA: 7:49 - loss: 80.9661 - logits_profile_predictions_loss: 71.3749 - logcount_predictions_loss: 9.5912 36/685 [>.............................] - ETA: 7:48 - loss: 80.6231 - logits_profile_predictions_loss: 71.2350 - logcount_predictions_loss: 9.3881 37/685 [>.............................] - ETA: 7:47 - loss: 80.5725 - logits_profile_predictions_loss: 71.3676 - logcount_predictions_loss: 9.2049 38/685 [>.............................] - ETA: 7:47 - loss: 80.2833 - logits_profile_predictions_loss: 71.2633 - logcount_predictions_loss: 9.0200 39/685 [>.............................] - ETA: 7:46 - loss: 79.9578 - logits_profile_predictions_loss: 71.1108 - logcount_predictions_loss: 8.8469 40/685 [>.............................] - ETA: 7:46 - loss: 79.5373 - logits_profile_predictions_loss: 70.8575 - logcount_predictions_loss: 8.6798 41/685 [>.............................] 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[============================>.] - ETA: 1s - loss: 70.0129 - logits_profile_predictions_loss: 67.8703 - logcount_predictions_loss: 2.1426 684/685 [============================>.] - ETA: 0s - loss: 70.0054 - logits_profile_predictions_loss: 67.8649 - logcount_predictions_loss: 2.1405 685/685 [==============================] - ETA: 0s - loss: 70.0164 - logits_profile_predictions_loss: 67.8781 - logcount_predictions_loss: 2.1383 Epoch 1: val_loss improved from inf to 71.03483, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/ameen_2022/K562_bias/ameen_2022.NC/fold_3/models/chrombpnet.h5  685/685 [==============================] - 540s 780ms/step - loss: 70.0164 - logits_profile_predictions_loss: 67.8781 - logcount_predictions_loss: 2.1383 - val_loss: 71.0348 - val_logits_profile_predictions_loss: 70.3305 - val_logcount_predictions_loss: 0.7044 Epoch 2/50 1/685 [..............................] - ETA: 8:15 - loss: 66.0568 - 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[..............................] - ETA: 8:06 - loss: 69.6968 - logits_profile_predictions_loss: 68.9994 - logcount_predictions_loss: 0.6974 16/685 [..............................] - ETA: 8:05 - loss: 70.7641 - logits_profile_predictions_loss: 70.0327 - logcount_predictions_loss: 0.7314 17/685 [..............................] - ETA: 8:04 - loss: 70.4456 - logits_profile_predictions_loss: 69.7178 - logcount_predictions_loss: 0.7278 18/685 [..............................] - ETA: 8:04 - loss: 70.2289 - logits_profile_predictions_loss: 69.5008 - logcount_predictions_loss: 0.7280 19/685 [..............................] - ETA: 8:03 - loss: 70.8089 - logits_profile_predictions_loss: 70.0895 - logcount_predictions_loss: 0.7193 20/685 [..............................] - ETA: 8:03 - loss: 70.8634 - logits_profile_predictions_loss: 70.1404 - logcount_predictions_loss: 0.7231 21/685 [..............................] - ETA: 8:02 - loss: 70.1387 - logits_profile_predictions_loss: 69.4093 - 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[>.............................] - ETA: 7:51 - loss: 69.1098 - logits_profile_predictions_loss: 68.3631 - logcount_predictions_loss: 0.7467 43/685 [>.............................] - ETA: 7:50 - loss: 69.1617 - logits_profile_predictions_loss: 68.4146 - logcount_predictions_loss: 0.7471 44/685 [>.............................] - ETA: 7:49 - loss: 68.9689 - logits_profile_predictions_loss: 68.2202 - logcount_predictions_loss: 0.7488 45/685 [>.............................] - ETA: 7:48 - loss: 69.1113 - logits_profile_predictions_loss: 68.3640 - logcount_predictions_loss: 0.7473 46/685 [=>............................] - ETA: 7:47 - loss: 69.1192 - logits_profile_predictions_loss: 68.3744 - logcount_predictions_loss: 0.7448 47/685 [=>............................] - ETA: 7:47 - loss: 68.9327 - logits_profile_predictions_loss: 68.1880 - logcount_predictions_loss: 0.7447 48/685 [=>............................] - ETA: 7:46 - loss: 68.6495 - logits_profile_predictions_loss: 67.9085 - 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ETA: 7:39 - loss: 68.4714 - logits_profile_predictions_loss: 67.7306 - logcount_predictions_loss: 0.7409 63/685 [=>............................] - ETA: 7:38 - loss: 68.4733 - logits_profile_predictions_loss: 67.7336 - logcount_predictions_loss: 0.7397 64/685 [=>............................] - ETA: 7:37 - loss: 68.4550 - logits_profile_predictions_loss: 67.7141 - logcount_predictions_loss: 0.7409 65/685 [=>............................] - ETA: 7:36 - loss: 68.5919 - logits_profile_predictions_loss: 67.8457 - logcount_predictions_loss: 0.7462 66/685 [=>............................] - ETA: 7:36 - loss: 68.7059 - logits_profile_predictions_loss: 67.9517 - logcount_predictions_loss: 0.7541 67/685 [=>............................] - ETA: 7:35 - loss: 68.5739 - logits_profile_predictions_loss: 67.8201 - logcount_predictions_loss: 0.7538 68/685 [=>............................] - ETA: 7:34 - loss: 68.6687 - logits_profile_predictions_loss: 67.9117 - logcount_predictions_loss: 0.7569 69/685 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[=======>......................] - ETA: 6:06 - loss: 67.5453 - logits_profile_predictions_loss: 66.8003 - logcount_predictions_loss: 0.7450 197/685 [=======>......................] - ETA: 6:05 - loss: 67.5685 - logits_profile_predictions_loss: 66.8238 - logcount_predictions_loss: 0.7447 198/685 [=======>......................] - ETA: 6:04 - loss: 67.5581 - logits_profile_predictions_loss: 66.8137 - logcount_predictions_loss: 0.7444 199/685 [=======>......................] - ETA: 6:03 - loss: 67.5860 - logits_profile_predictions_loss: 66.8418 - logcount_predictions_loss: 0.7441 200/685 [=======>......................] - ETA: 6:02 - loss: 67.5676 - logits_profile_predictions_loss: 66.8234 - logcount_predictions_loss: 0.7441 201/685 [=======>......................] - ETA: 6:02 - loss: 67.6151 - logits_profile_predictions_loss: 66.8718 - logcount_predictions_loss: 0.7433 202/685 [=======>......................] - ETA: 6:01 - loss: 67.5725 - logits_profile_predictions_loss: 66.8298 - 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[==>...........................] - ETA: 7:20 - loss: 65.8535 - logits_profile_predictions_loss: 65.2833 - logcount_predictions_loss: 0.5702 91/685 [==>...........................] - ETA: 7:19 - loss: 65.8425 - logits_profile_predictions_loss: 65.2741 - logcount_predictions_loss: 0.5684 92/685 [===>..........................] - ETA: 7:18 - loss: 65.7763 - logits_profile_predictions_loss: 65.2087 - logcount_predictions_loss: 0.5676 93/685 [===>..........................] - ETA: 7:17 - loss: 65.9214 - logits_profile_predictions_loss: 65.3489 - logcount_predictions_loss: 0.5725 94/685 [===>..........................] - ETA: 7:16 - loss: 65.8920 - logits_profile_predictions_loss: 65.3199 - logcount_predictions_loss: 0.5721 95/685 [===>..........................] - ETA: 7:16 - loss: 65.8288 - logits_profile_predictions_loss: 65.2558 - logcount_predictions_loss: 0.5731 96/685 [===>..........................] - ETA: 7:15 - loss: 65.8404 - logits_profile_predictions_loss: 65.2680 - 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0s - loss: 65.8640 - logits_profile_predictions_loss: 65.3190 - logcount_predictions_loss: 0.5450 685/685 [==============================] - ETA: 0s - loss: 65.8710 - logits_profile_predictions_loss: 65.3260 - logcount_predictions_loss: 0.5450 Epoch 3: val_loss improved from 69.79275 to 69.06519, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/ameen_2022/K562_bias/ameen_2022.NC/fold_3/models/chrombpnet.h5  685/685 [==============================] - 534s 780ms/step - loss: 65.8710 - logits_profile_predictions_loss: 65.3260 - logcount_predictions_loss: 0.5450 - val_loss: 69.0652 - val_logits_profile_predictions_loss: 68.5973 - val_logcount_predictions_loss: 0.4679 Epoch 4/50 1/685 [..............................] - ETA: 8:15 - loss: 63.0452 - logits_profile_predictions_loss: 62.5061 - logcount_predictions_loss: 0.5391 2/685 [..............................] - ETA: 8:09 - loss: 68.6589 - logits_profile_predictions_loss: 68.0554 - 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[>.............................] - ETA: 8:04 - loss: 65.1538 - logits_profile_predictions_loss: 64.6732 - logcount_predictions_loss: 0.4806 24/685 [>.............................] - ETA: 8:03 - loss: 65.7052 - logits_profile_predictions_loss: 65.2227 - logcount_predictions_loss: 0.4825 25/685 [>.............................] - ETA: 8:02 - loss: 66.0252 - logits_profile_predictions_loss: 65.5453 - logcount_predictions_loss: 0.4799 26/685 [>.............................] - ETA: 8:02 - loss: 65.8806 - logits_profile_predictions_loss: 65.4036 - logcount_predictions_loss: 0.4771 27/685 [>.............................] - ETA: 8:01 - loss: 66.2617 - logits_profile_predictions_loss: 65.7830 - logcount_predictions_loss: 0.4787 28/685 [>.............................] - ETA: 8:00 - loss: 66.1511 - logits_profile_predictions_loss: 65.6699 - logcount_predictions_loss: 0.4812 29/685 [>.............................] - ETA: 7:59 - loss: 66.0048 - logits_profile_predictions_loss: 65.5217 - 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[=>............................] - ETA: 7:47 - loss: 65.9476 - logits_profile_predictions_loss: 65.4627 - logcount_predictions_loss: 0.4849 51/685 [=>............................] - ETA: 7:47 - loss: 66.0919 - logits_profile_predictions_loss: 65.6018 - logcount_predictions_loss: 0.4902 52/685 [=>............................] - ETA: 7:46 - loss: 65.9227 - logits_profile_predictions_loss: 65.4331 - logcount_predictions_loss: 0.4896 53/685 [=>............................] - ETA: 7:45 - loss: 65.8516 - logits_profile_predictions_loss: 65.3623 - logcount_predictions_loss: 0.4892 54/685 [=>............................] - ETA: 7:44 - loss: 65.8317 - logits_profile_predictions_loss: 65.3414 - logcount_predictions_loss: 0.4903 55/685 [=>............................] - ETA: 7:43 - loss: 65.7081 - logits_profile_predictions_loss: 65.2173 - logcount_predictions_loss: 0.4908 56/685 [=>............................] - ETA: 7:43 - loss: 65.6455 - logits_profile_predictions_loss: 65.1539 - 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ETA: 7:34 - loss: 65.4792 - logits_profile_predictions_loss: 64.9712 - logcount_predictions_loss: 0.5080 71/685 [==>...........................] - ETA: 7:33 - loss: 65.5243 - logits_profile_predictions_loss: 65.0151 - logcount_predictions_loss: 0.5093 72/685 [==>...........................] - ETA: 7:32 - loss: 65.5655 - logits_profile_predictions_loss: 65.0540 - logcount_predictions_loss: 0.5115 73/685 [==>...........................] - ETA: 7:32 - loss: 65.5380 - logits_profile_predictions_loss: 65.0270 - logcount_predictions_loss: 0.5110 74/685 [==>...........................] - ETA: 7:31 - loss: 65.5936 - logits_profile_predictions_loss: 65.0816 - logcount_predictions_loss: 0.5121 75/685 [==>...........................] - ETA: 7:31 - loss: 65.4786 - logits_profile_predictions_loss: 64.9669 - logcount_predictions_loss: 0.5118 76/685 [==>...........................] - ETA: 7:31 - loss: 65.5106 - logits_profile_predictions_loss: 64.9991 - logcount_predictions_loss: 0.5115 77/685 [==>...........................] - ETA: 7:31 - loss: 65.5406 - logits_profile_predictions_loss: 65.0300 - logcount_predictions_loss: 0.5106 78/685 [==>...........................] - ETA: 7:31 - loss: 65.5384 - logits_profile_predictions_loss: 65.0282 - logcount_predictions_loss: 0.5102 79/685 [==>...........................] - ETA: 7:30 - loss: 65.6082 - logits_profile_predictions_loss: 65.0970 - logcount_predictions_loss: 0.5112 80/685 [==>...........................] - ETA: 7:29 - loss: 65.7083 - logits_profile_predictions_loss: 65.1955 - logcount_predictions_loss: 0.5128 81/685 [==>...........................] - ETA: 7:28 - loss: 65.5362 - logits_profile_predictions_loss: 65.0239 - logcount_predictions_loss: 0.5124 82/685 [==>...........................] - ETA: 7:28 - loss: 65.4222 - logits_profile_predictions_loss: 64.9083 - logcount_predictions_loss: 0.5139 83/685 [==>...........................] - ETA: 7:27 - loss: 65.3613 - logits_profile_predictions_loss: 64.8495 - 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logits_profile_predictions_loss: 64.8883 - logcount_predictions_loss: 0.5130 91/685 [==>...........................] - ETA: 7:21 - loss: 65.4818 - logits_profile_predictions_loss: 64.9696 - logcount_predictions_loss: 0.5122 92/685 [===>..........................] - ETA: 7:20 - loss: 65.5022 - logits_profile_predictions_loss: 64.9893 - logcount_predictions_loss: 0.5129 93/685 [===>..........................] - ETA: 7:19 - loss: 65.4837 - logits_profile_predictions_loss: 64.9714 - logcount_predictions_loss: 0.5123 94/685 [===>..........................] - ETA: 7:18 - loss: 65.4449 - logits_profile_predictions_loss: 64.9339 - logcount_predictions_loss: 0.5111 95/685 [===>..........................] - ETA: 7:18 - loss: 65.4607 - logits_profile_predictions_loss: 64.9496 - logcount_predictions_loss: 0.5112 96/685 [===>..........................] - ETA: 7:17 - loss: 65.3318 - logits_profile_predictions_loss: 64.8210 - logcount_predictions_loss: 0.5109 97/685 [===>..........................] - 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[===>..........................] - ETA: 7:12 - loss: 65.0200 - logits_profile_predictions_loss: 64.5044 - logcount_predictions_loss: 0.5156 105/685 [===>..........................] - ETA: 7:11 - loss: 64.8867 - logits_profile_predictions_loss: 64.3720 - logcount_predictions_loss: 0.5147 106/685 [===>..........................] - ETA: 7:10 - loss: 64.9196 - logits_profile_predictions_loss: 64.4041 - logcount_predictions_loss: 0.5155 107/685 [===>..........................] - ETA: 7:09 - loss: 64.8744 - logits_profile_predictions_loss: 64.3595 - logcount_predictions_loss: 0.5149 108/685 [===>..........................] - ETA: 7:09 - loss: 65.0338 - logits_profile_predictions_loss: 64.5195 - logcount_predictions_loss: 0.5143 109/685 [===>..........................] - ETA: 7:08 - loss: 65.0515 - logits_profile_predictions_loss: 64.5378 - logcount_predictions_loss: 0.5137 110/685 [===>..........................] - ETA: 7:07 - loss: 64.9527 - logits_profile_predictions_loss: 64.4403 - 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[====>.........................] - ETA: 6:57 - loss: 64.7605 - logits_profile_predictions_loss: 64.2449 - logcount_predictions_loss: 0.5156 125/685 [====>.........................] - ETA: 6:56 - loss: 64.8147 - logits_profile_predictions_loss: 64.3005 - logcount_predictions_loss: 0.5142 126/685 [====>.........................] - ETA: 6:55 - loss: 64.7737 - logits_profile_predictions_loss: 64.2600 - logcount_predictions_loss: 0.5137 127/685 [====>.........................] - ETA: 6:54 - loss: 64.8017 - logits_profile_predictions_loss: 64.2874 - logcount_predictions_loss: 0.5144 128/685 [====>.........................] - ETA: 6:54 - loss: 64.8570 - logits_profile_predictions_loss: 64.3430 - logcount_predictions_loss: 0.5140 129/685 [====>.........................] - ETA: 6:53 - loss: 64.7946 - logits_profile_predictions_loss: 64.2801 - logcount_predictions_loss: 0.5145 130/685 [====>.........................] - ETA: 6:52 - loss: 64.8047 - logits_profile_predictions_loss: 64.2898 - 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[==============================] - ETA: 0s - loss: 65.4448 - logits_profile_predictions_loss: 64.9406 - logcount_predictions_loss: 0.5042 Epoch 4: val_loss improved from 69.06519 to 68.85507, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/ameen_2022/K562_bias/ameen_2022.NC/fold_3/models/chrombpnet.h5  685/685 [==============================] - 534s 780ms/step - loss: 65.4448 - logits_profile_predictions_loss: 64.9406 - logcount_predictions_loss: 0.5042 - val_loss: 68.8551 - val_logits_profile_predictions_loss: 68.3888 - val_logcount_predictions_loss: 0.4663 Epoch 5/50 1/685 [..............................] - ETA: 8:13 - loss: 58.3620 - logits_profile_predictions_loss: 57.8854 - logcount_predictions_loss: 0.4766 2/685 [..............................] - ETA: 8:12 - loss: 58.8190 - logits_profile_predictions_loss: 58.3670 - logcount_predictions_loss: 0.4520 3/685 [..............................] - ETA: 8:16 - loss: 62.9712 - 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[..............................] - ETA: 8:04 - loss: 64.3199 - logits_profile_predictions_loss: 63.8528 - logcount_predictions_loss: 0.4671 18/685 [..............................] - ETA: 8:03 - loss: 64.2883 - logits_profile_predictions_loss: 63.8146 - logcount_predictions_loss: 0.4736 19/685 [..............................] - ETA: 8:03 - loss: 65.2251 - logits_profile_predictions_loss: 64.7535 - logcount_predictions_loss: 0.4716 20/685 [..............................] - ETA: 8:02 - loss: 65.2338 - logits_profile_predictions_loss: 64.7578 - logcount_predictions_loss: 0.4761 21/685 [..............................] - ETA: 8:01 - loss: 65.6063 - logits_profile_predictions_loss: 65.1259 - logcount_predictions_loss: 0.4804 22/685 [..............................] - ETA: 8:01 - loss: 65.5596 - logits_profile_predictions_loss: 65.0803 - logcount_predictions_loss: 0.4792 23/685 [>.............................] - ETA: 8:01 - loss: 64.9894 - logits_profile_predictions_loss: 64.5130 - 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- ETA: 50s - loss: 64.9115 - logits_profile_predictions_loss: 64.4243 - logcount_predictions_loss: 0.4871 619/685 [==========================>...] - ETA: 49s - loss: 64.8869 - logits_profile_predictions_loss: 64.3999 - logcount_predictions_loss: 0.4870 620/685 [==========================>...] - ETA: 48s - loss: 64.8925 - logits_profile_predictions_loss: 64.4052 - logcount_predictions_loss: 0.4873 621/685 [==========================>...] - ETA: 48s - loss: 64.8828 - logits_profile_predictions_loss: 64.3954 - logcount_predictions_loss: 0.4874 622/685 [==========================>...] - ETA: 47s - loss: 64.8920 - logits_profile_predictions_loss: 64.4047 - logcount_predictions_loss: 0.4873 623/685 [==========================>...] - ETA: 46s - loss: 64.8985 - logits_profile_predictions_loss: 64.4112 - logcount_predictions_loss: 0.4873 624/685 [==========================>...] - ETA: 45s - loss: 64.8728 - logits_profile_predictions_loss: 64.3853 - logcount_predictions_loss: 0.4875 625/685 [==========================>...] - ETA: 45s - loss: 64.8849 - logits_profile_predictions_loss: 64.3975 - logcount_predictions_loss: 0.4873 626/685 [==========================>...] - ETA: 44s - loss: 64.8957 - logits_profile_predictions_loss: 64.4083 - logcount_predictions_loss: 0.4875 627/685 [==========================>...] - ETA: 43s - loss: 64.8925 - logits_profile_predictions_loss: 64.4051 - logcount_predictions_loss: 0.4874 628/685 [==========================>...] - ETA: 42s - loss: 64.8956 - logits_profile_predictions_loss: 64.4083 - logcount_predictions_loss: 0.4873 629/685 [==========================>...] - ETA: 42s - loss: 64.9052 - logits_profile_predictions_loss: 64.4180 - logcount_predictions_loss: 0.4872 630/685 [==========================>...] - ETA: 41s - loss: 64.9072 - logits_profile_predictions_loss: 64.4202 - logcount_predictions_loss: 0.4870 631/685 [==========================>...] - ETA: 40s - loss: 64.9027 - logits_profile_predictions_loss: 64.4157 - 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- ETA: 30s - loss: 64.9010 - logits_profile_predictions_loss: 64.4140 - logcount_predictions_loss: 0.4870 646/685 [===========================>..] - ETA: 29s - loss: 64.9086 - logits_profile_predictions_loss: 64.4217 - logcount_predictions_loss: 0.4869 647/685 [===========================>..] - ETA: 28s - loss: 64.9224 - logits_profile_predictions_loss: 64.4353 - logcount_predictions_loss: 0.4871 648/685 [===========================>..] - ETA: 27s - loss: 64.9069 - logits_profile_predictions_loss: 64.4197 - logcount_predictions_loss: 0.4871 649/685 [===========================>..] - ETA: 27s - loss: 64.9154 - logits_profile_predictions_loss: 64.4282 - logcount_predictions_loss: 0.4872 650/685 [===========================>..] - ETA: 26s - loss: 64.9082 - logits_profile_predictions_loss: 64.4211 - logcount_predictions_loss: 0.4872 651/685 [===========================>..] - ETA: 25s - loss: 64.9118 - logits_profile_predictions_loss: 64.4246 - logcount_predictions_loss: 0.4872 652/685 [===========================>..] - ETA: 24s - loss: 64.8968 - logits_profile_predictions_loss: 64.4094 - logcount_predictions_loss: 0.4874 653/685 [===========================>..] - ETA: 24s - loss: 64.9017 - logits_profile_predictions_loss: 64.4143 - logcount_predictions_loss: 0.4874 654/685 [===========================>..] - ETA: 23s - loss: 64.9349 - logits_profile_predictions_loss: 64.4474 - logcount_predictions_loss: 0.4876 655/685 [===========================>..] - ETA: 22s - loss: 64.9251 - logits_profile_predictions_loss: 64.4375 - logcount_predictions_loss: 0.4876 656/685 [===========================>..] - ETA: 21s - loss: 64.9332 - logits_profile_predictions_loss: 64.4457 - logcount_predictions_loss: 0.4875 657/685 [===========================>..] - ETA: 21s - loss: 64.9326 - logits_profile_predictions_loss: 64.4453 - logcount_predictions_loss: 0.4873 658/685 [===========================>..] - ETA: 20s - loss: 64.9187 - logits_profile_predictions_loss: 64.4315 - logcount_predictions_loss: 0.4873 659/685 [===========================>..] - ETA: 19s - loss: 64.9178 - logits_profile_predictions_loss: 64.4305 - logcount_predictions_loss: 0.4874 660/685 [===========================>..] - ETA: 18s - loss: 64.9320 - logits_profile_predictions_loss: 64.4448 - logcount_predictions_loss: 0.4872 661/685 [===========================>..] - ETA: 18s - loss: 64.9265 - logits_profile_predictions_loss: 64.4391 - logcount_predictions_loss: 0.4874 662/685 [===========================>..] - ETA: 17s - loss: 64.9205 - logits_profile_predictions_loss: 64.4328 - logcount_predictions_loss: 0.4876 663/685 [============================>.] - ETA: 16s - loss: 64.9229 - logits_profile_predictions_loss: 64.4351 - logcount_predictions_loss: 0.4878 664/685 [============================>.] - ETA: 15s - loss: 64.9338 - logits_profile_predictions_loss: 64.4462 - logcount_predictions_loss: 0.4876 665/685 [============================>.] - ETA: 15s - loss: 64.9226 - logits_profile_predictions_loss: 64.4352 - logcount_predictions_loss: 0.4875 666/685 [============================>.] - ETA: 14s - loss: 64.9076 - logits_profile_predictions_loss: 64.4197 - logcount_predictions_loss: 0.4878 667/685 [============================>.] - ETA: 13s - loss: 64.9211 - logits_profile_predictions_loss: 64.4334 - logcount_predictions_loss: 0.4877 668/685 [============================>.] - ETA: 12s - loss: 64.9024 - logits_profile_predictions_loss: 64.4149 - logcount_predictions_loss: 0.4876 669/685 [============================>.] - ETA: 12s - loss: 64.8902 - logits_profile_predictions_loss: 64.4027 - logcount_predictions_loss: 0.4874 670/685 [============================>.] - ETA: 11s - loss: 64.8899 - logits_profile_predictions_loss: 64.4026 - logcount_predictions_loss: 0.4873 671/685 [============================>.] - ETA: 10s - loss: 64.8866 - logits_profile_predictions_loss: 64.3993 - logcount_predictions_loss: 0.4873 672/685 [============================>.] - ETA: 9s - loss: 64.8903 - logits_profile_predictions_loss: 64.4032 - logcount_predictions_loss: 0.4871  673/685 [============================>.] - ETA: 9s - loss: 64.9039 - logits_profile_predictions_loss: 64.4168 - logcount_predictions_loss: 0.4871 674/685 [============================>.] - ETA: 8s - loss: 64.8993 - logits_profile_predictions_loss: 64.4124 - logcount_predictions_loss: 0.4870 675/685 [============================>.] - ETA: 7s - loss: 64.8910 - logits_profile_predictions_loss: 64.4041 - logcount_predictions_loss: 0.4869 676/685 [============================>.] - ETA: 6s - loss: 64.8820 - logits_profile_predictions_loss: 64.3955 - logcount_predictions_loss: 0.4866 677/685 [============================>.] - ETA: 6s - loss: 64.8817 - logits_profile_predictions_loss: 64.3952 - logcount_predictions_loss: 0.4865 678/685 [============================>.] - ETA: 5s - loss: 64.8780 - logits_profile_predictions_loss: 64.3917 - logcount_predictions_loss: 0.4863 679/685 [============================>.] - ETA: 4s - loss: 64.8771 - logits_profile_predictions_loss: 64.3907 - logcount_predictions_loss: 0.4864 680/685 [============================>.] - ETA: 3s - loss: 64.8814 - logits_profile_predictions_loss: 64.3951 - logcount_predictions_loss: 0.4863 681/685 [============================>.] - ETA: 3s - loss: 64.8867 - logits_profile_predictions_loss: 64.4003 - logcount_predictions_loss: 0.4864 682/685 [============================>.] - ETA: 2s - loss: 64.8800 - logits_profile_predictions_loss: 64.3938 - logcount_predictions_loss: 0.4862 683/685 [============================>.] - ETA: 1s - loss: 64.8577 - logits_profile_predictions_loss: 64.3715 - logcount_predictions_loss: 0.4862 684/685 [============================>.] - ETA: 0s - loss: 64.8496 - logits_profile_predictions_loss: 64.3635 - logcount_predictions_loss: 0.4862 685/685 [==============================] - ETA: 0s - loss: 64.8449 - logits_profile_predictions_loss: 64.3587 - logcount_predictions_loss: 0.4862 Epoch 5: val_loss did not improve from 68.85507  685/685 [==============================] - 535s 781ms/step - loss: 64.8449 - logits_profile_predictions_loss: 64.3587 - logcount_predictions_loss: 0.4862 - val_loss: 68.8553 - val_logits_profile_predictions_loss: 68.4374 - val_logcount_predictions_loss: 0.4179 Epoch 6/50 1/685 [..............................] - ETA: 8:13 - loss: 72.8290 - logits_profile_predictions_loss: 72.3557 - logcount_predictions_loss: 0.4734 2/685 [..............................] - ETA: 8:09 - loss: 67.2133 - logits_profile_predictions_loss: 66.7695 - logcount_predictions_loss: 0.4439 3/685 [..............................] - ETA: 8:14 - loss: 67.4926 - logits_profile_predictions_loss: 67.0846 - logcount_predictions_loss: 0.4080 4/685 [..............................] - ETA: 8:11 - loss: 67.6005 - logits_profile_predictions_loss: 67.1662 - logcount_predictions_loss: 0.4343 5/685 [..............................] - ETA: 8:11 - loss: 66.7951 - logits_profile_predictions_loss: 66.3605 - logcount_predictions_loss: 0.4345 6/685 [..............................] - ETA: 8:11 - loss: 66.1178 - logits_profile_predictions_loss: 65.6854 - logcount_predictions_loss: 0.4324 7/685 [..............................] - ETA: 8:14 - loss: 66.3787 - logits_profile_predictions_loss: 65.9248 - logcount_predictions_loss: 0.4540 8/685 [..............................] - ETA: 8:15 - loss: 66.8245 - logits_profile_predictions_loss: 66.3661 - logcount_predictions_loss: 0.4584 9/685 [..............................] - ETA: 8:14 - loss: 67.6622 - logits_profile_predictions_loss: 67.1988 - logcount_predictions_loss: 0.4634 10/685 [..............................] - ETA: 8:12 - loss: 68.4404 - logits_profile_predictions_loss: 67.9775 - logcount_predictions_loss: 0.4629 11/685 [..............................] - ETA: 8:11 - loss: 67.8576 - logits_profile_predictions_loss: 67.4015 - logcount_predictions_loss: 0.4560 12/685 [..............................] - ETA: 8:10 - loss: 67.2678 - logits_profile_predictions_loss: 66.8157 - logcount_predictions_loss: 0.4521 13/685 [..............................] - ETA: 8:09 - loss: 66.2348 - logits_profile_predictions_loss: 65.7758 - logcount_predictions_loss: 0.4590 14/685 [..............................] - ETA: 8:09 - loss: 67.0226 - logits_profile_predictions_loss: 66.5407 - logcount_predictions_loss: 0.4819 15/685 [..............................] - ETA: 8:08 - loss: 67.9773 - logits_profile_predictions_loss: 67.4995 - logcount_predictions_loss: 0.4778 16/685 [..............................] - ETA: 8:08 - loss: 68.3973 - logits_profile_predictions_loss: 67.9189 - logcount_predictions_loss: 0.4784 17/685 [..............................] - ETA: 8:08 - loss: 68.1397 - logits_profile_predictions_loss: 67.6397 - logcount_predictions_loss: 0.5000 18/685 [..............................] - ETA: 8:07 - loss: 68.1752 - logits_profile_predictions_loss: 67.6776 - logcount_predictions_loss: 0.4976 19/685 [..............................] - ETA: 8:06 - loss: 67.5213 - logits_profile_predictions_loss: 67.0266 - logcount_predictions_loss: 0.4948 20/685 [..............................] - ETA: 8:06 - loss: 67.4572 - logits_profile_predictions_loss: 66.9519 - logcount_predictions_loss: 0.5053 21/685 [..............................] - ETA: 8:05 - loss: 67.4380 - logits_profile_predictions_loss: 66.9283 - logcount_predictions_loss: 0.5098 22/685 [..............................] - ETA: 8:04 - loss: 67.9620 - logits_profile_predictions_loss: 67.4411 - logcount_predictions_loss: 0.5209 23/685 [>.............................] - ETA: 8:03 - loss: 67.8538 - logits_profile_predictions_loss: 67.3341 - logcount_predictions_loss: 0.5198 24/685 [>.............................] - ETA: 8:02 - loss: 67.4113 - logits_profile_predictions_loss: 66.8939 - logcount_predictions_loss: 0.5175 25/685 [>.............................] - ETA: 8:01 - loss: 67.1888 - logits_profile_predictions_loss: 66.6644 - logcount_predictions_loss: 0.5244 26/685 [>.............................] - ETA: 8:01 - loss: 67.1480 - logits_profile_predictions_loss: 66.6180 - logcount_predictions_loss: 0.5300 27/685 [>.............................] - ETA: 8:01 - loss: 67.3154 - logits_profile_predictions_loss: 66.7886 - logcount_predictions_loss: 0.5268 28/685 [>.............................] - ETA: 8:00 - loss: 67.2477 - logits_profile_predictions_loss: 66.7183 - logcount_predictions_loss: 0.5294 29/685 [>.............................] - ETA: 8:00 - loss: 66.7284 - logits_profile_predictions_loss: 66.2002 - logcount_predictions_loss: 0.5283 30/685 [>.............................] - ETA: 8:00 - loss: 66.6248 - logits_profile_predictions_loss: 66.0936 - logcount_predictions_loss: 0.5312 31/685 [>.............................] - ETA: 7:52 - loss: 66.7264 - logits_profile_predictions_loss: 66.1911 - logcount_predictions_loss: 0.5353 32/685 [>.............................] - ETA: 7:51 - loss: 66.5154 - logits_profile_predictions_loss: 65.9795 - logcount_predictions_loss: 0.5360 33/685 [>.............................] - ETA: 7:50 - loss: 66.4510 - logits_profile_predictions_loss: 65.9151 - logcount_predictions_loss: 0.5359 34/685 [>.............................] - ETA: 7:50 - loss: 65.9585 - logits_profile_predictions_loss: 65.4257 - logcount_predictions_loss: 0.5327 35/685 [>.............................] - ETA: 7:50 - loss: 65.9212 - logits_profile_predictions_loss: 65.3893 - logcount_predictions_loss: 0.5318 36/685 [>.............................] - ETA: 7:49 - loss: 65.9372 - logits_profile_predictions_loss: 65.4063 - logcount_predictions_loss: 0.5309 37/685 [>.............................] - ETA: 7:48 - loss: 65.5753 - logits_profile_predictions_loss: 65.0484 - logcount_predictions_loss: 0.5270 38/685 [>.............................] - ETA: 7:48 - loss: 65.3500 - logits_profile_predictions_loss: 64.8212 - logcount_predictions_loss: 0.5287 39/685 [>.............................] - ETA: 7:47 - loss: 65.2189 - logits_profile_predictions_loss: 64.6932 - logcount_predictions_loss: 0.5257 40/685 [>.............................] - ETA: 7:47 - loss: 65.4147 - logits_profile_predictions_loss: 64.8932 - logcount_predictions_loss: 0.5215 41/685 [>.............................] - ETA: 7:46 - loss: 65.3244 - logits_profile_predictions_loss: 64.8043 - logcount_predictions_loss: 0.5201 42/685 [>.............................] - ETA: 7:46 - loss: 65.2758 - logits_profile_predictions_loss: 64.7584 - logcount_predictions_loss: 0.5174 43/685 [>.............................] - ETA: 7:45 - loss: 65.1457 - logits_profile_predictions_loss: 64.6295 - logcount_predictions_loss: 0.5162 44/685 [>.............................] - ETA: 7:45 - loss: 65.1397 - logits_profile_predictions_loss: 64.6267 - logcount_predictions_loss: 0.5130 45/685 [>.............................] - ETA: 7:45 - loss: 64.9060 - logits_profile_predictions_loss: 64.3978 - logcount_predictions_loss: 0.5082 46/685 [=>............................] - ETA: 7:44 - loss: 64.9187 - logits_profile_predictions_loss: 64.4109 - logcount_predictions_loss: 0.5078 47/685 [=>............................] - ETA: 7:44 - loss: 64.9606 - logits_profile_predictions_loss: 64.4546 - logcount_predictions_loss: 0.5060 48/685 [=>............................] - ETA: 7:44 - loss: 65.0111 - logits_profile_predictions_loss: 64.5042 - logcount_predictions_loss: 0.5069 49/685 [=>............................] - ETA: 7:43 - loss: 65.0619 - logits_profile_predictions_loss: 64.5548 - logcount_predictions_loss: 0.5071 50/685 [=>............................] - ETA: 7:43 - loss: 64.8416 - logits_profile_predictions_loss: 64.3351 - logcount_predictions_loss: 0.5065 51/685 [=>............................] - ETA: 7:42 - loss: 64.8549 - logits_profile_predictions_loss: 64.3458 - logcount_predictions_loss: 0.5091 52/685 [=>............................] - ETA: 7:42 - loss: 65.1517 - logits_profile_predictions_loss: 64.6424 - logcount_predictions_loss: 0.5093 53/685 [=>............................] - ETA: 7:42 - loss: 64.9300 - logits_profile_predictions_loss: 64.4215 - logcount_predictions_loss: 0.5085 54/685 [=>............................] - ETA: 7:41 - loss: 64.9378 - logits_profile_predictions_loss: 64.4329 - logcount_predictions_loss: 0.5048 55/685 [=>............................] - ETA: 7:40 - loss: 64.9211 - logits_profile_predictions_loss: 64.4143 - logcount_predictions_loss: 0.5069 56/685 [=>............................] - ETA: 7:40 - loss: 64.9749 - logits_profile_predictions_loss: 64.4699 - logcount_predictions_loss: 0.5050 57/685 [=>............................] - ETA: 7:40 - loss: 65.1390 - logits_profile_predictions_loss: 64.6328 - logcount_predictions_loss: 0.5061 58/685 [=>............................] - ETA: 7:39 - loss: 65.1346 - logits_profile_predictions_loss: 64.6301 - logcount_predictions_loss: 0.5044 59/685 [=>............................] - ETA: 7:38 - loss: 65.1130 - logits_profile_predictions_loss: 64.6101 - logcount_predictions_loss: 0.5029 60/685 [=>............................] - ETA: 7:38 - loss: 65.0538 - logits_profile_predictions_loss: 64.5499 - logcount_predictions_loss: 0.5039 61/685 [=>............................] - ETA: 7:38 - loss: 65.1009 - logits_profile_predictions_loss: 64.5949 - logcount_predictions_loss: 0.5059 62/685 [=>............................] - ETA: 7:37 - loss: 65.0352 - logits_profile_predictions_loss: 64.5276 - logcount_predictions_loss: 0.5076 63/685 [=>............................] - ETA: 7:36 - loss: 64.9707 - logits_profile_predictions_loss: 64.4638 - logcount_predictions_loss: 0.5070 64/685 [=>............................] - ETA: 7:35 - loss: 64.7113 - logits_profile_predictions_loss: 64.2077 - logcount_predictions_loss: 0.5036 65/685 [=>............................] - ETA: 7:35 - loss: 64.7147 - logits_profile_predictions_loss: 64.2100 - logcount_predictions_loss: 0.5047 66/685 [=>............................] - ETA: 7:34 - loss: 64.8002 - logits_profile_predictions_loss: 64.2913 - logcount_predictions_loss: 0.5089 67/685 [=>............................] - ETA: 7:33 - loss: 64.7404 - logits_profile_predictions_loss: 64.2296 - logcount_predictions_loss: 0.5108 68/685 [=>............................] - ETA: 7:32 - loss: 64.7335 - logits_profile_predictions_loss: 64.2216 - logcount_predictions_loss: 0.5119 69/685 [==>...........................] - ETA: 7:31 - loss: 64.8535 - logits_profile_predictions_loss: 64.3405 - logcount_predictions_loss: 0.5129 70/685 [==>...........................] - ETA: 7:31 - loss: 64.8735 - logits_profile_predictions_loss: 64.3597 - logcount_predictions_loss: 0.5138 71/685 [==>...........................] - ETA: 7:30 - loss: 64.9962 - logits_profile_predictions_loss: 64.4828 - logcount_predictions_loss: 0.5134 72/685 [==>...........................] - ETA: 7:29 - loss: 64.8873 - logits_profile_predictions_loss: 64.3736 - 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logcount_predictions_loss: 0.4694 654/685 [===========================>..] - ETA: 23s - loss: 64.4283 - logits_profile_predictions_loss: 63.9592 - logcount_predictions_loss: 0.4691 655/685 [===========================>..] - ETA: 22s - loss: 64.4329 - logits_profile_predictions_loss: 63.9638 - logcount_predictions_loss: 0.4692 656/685 [===========================>..] - ETA: 21s - loss: 64.4502 - logits_profile_predictions_loss: 63.9811 - logcount_predictions_loss: 0.4691 657/685 [===========================>..] - ETA: 21s - loss: 64.4518 - logits_profile_predictions_loss: 63.9825 - logcount_predictions_loss: 0.4694 658/685 [===========================>..] - ETA: 20s - loss: 64.4736 - logits_profile_predictions_loss: 64.0041 - logcount_predictions_loss: 0.4695 659/685 [===========================>..] - ETA: 19s - loss: 64.4889 - logits_profile_predictions_loss: 64.0195 - logcount_predictions_loss: 0.4695 660/685 [===========================>..] - ETA: 18s - loss: 64.4912 - logits_profile_predictions_loss: 64.0218 - logcount_predictions_loss: 0.4695 661/685 [===========================>..] - ETA: 18s - loss: 64.4990 - logits_profile_predictions_loss: 64.0295 - logcount_predictions_loss: 0.4695 662/685 [===========================>..] - ETA: 17s - loss: 64.5021 - logits_profile_predictions_loss: 64.0326 - logcount_predictions_loss: 0.4696 663/685 [============================>.] - ETA: 16s - loss: 64.5037 - logits_profile_predictions_loss: 64.0342 - logcount_predictions_loss: 0.4696 664/685 [============================>.] - ETA: 15s - loss: 64.4959 - logits_profile_predictions_loss: 64.0266 - logcount_predictions_loss: 0.4693 665/685 [============================>.] - ETA: 15s - loss: 64.5006 - logits_profile_predictions_loss: 64.0314 - logcount_predictions_loss: 0.4693 666/685 [============================>.] - ETA: 14s - loss: 64.5002 - logits_profile_predictions_loss: 64.0310 - logcount_predictions_loss: 0.4692 667/685 [============================>.] - ETA: 13s - loss: 64.4821 - logits_profile_predictions_loss: 64.0130 - logcount_predictions_loss: 0.4691 668/685 [============================>.] - ETA: 12s - loss: 64.4719 - logits_profile_predictions_loss: 64.0028 - logcount_predictions_loss: 0.4691 669/685 [============================>.] - ETA: 12s - loss: 64.4672 - logits_profile_predictions_loss: 63.9982 - logcount_predictions_loss: 0.4691 670/685 [============================>.] - ETA: 11s - loss: 64.4678 - logits_profile_predictions_loss: 63.9989 - logcount_predictions_loss: 0.4689 671/685 [============================>.] - ETA: 10s - loss: 64.4633 - logits_profile_predictions_loss: 63.9944 - logcount_predictions_loss: 0.4689 672/685 [============================>.] - ETA: 9s - loss: 64.4573 - logits_profile_predictions_loss: 63.9883 - logcount_predictions_loss: 0.4690  673/685 [============================>.] - ETA: 9s - loss: 64.4518 - logits_profile_predictions_loss: 63.9831 - logcount_predictions_loss: 0.4688 674/685 [============================>.] - ETA: 8s - loss: 64.4609 - logits_profile_predictions_loss: 63.9923 - logcount_predictions_loss: 0.4687 675/685 [============================>.] - ETA: 7s - loss: 64.4515 - logits_profile_predictions_loss: 63.9829 - logcount_predictions_loss: 0.4686 676/685 [============================>.] - ETA: 6s - loss: 64.4557 - logits_profile_predictions_loss: 63.9869 - logcount_predictions_loss: 0.4689 677/685 [============================>.] - ETA: 6s - loss: 64.4567 - logits_profile_predictions_loss: 63.9883 - logcount_predictions_loss: 0.4685 678/685 [============================>.] - ETA: 5s - loss: 64.4618 - logits_profile_predictions_loss: 63.9935 - logcount_predictions_loss: 0.4683 679/685 [============================>.] - ETA: 4s - loss: 64.4576 - logits_profile_predictions_loss: 63.9893 - logcount_predictions_loss: 0.4683 680/685 [============================>.] - ETA: 3s - loss: 64.4770 - logits_profile_predictions_loss: 64.0085 - logcount_predictions_loss: 0.4686 681/685 [============================>.] - ETA: 3s - loss: 64.4848 - logits_profile_predictions_loss: 64.0163 - logcount_predictions_loss: 0.4686 682/685 [============================>.] - ETA: 2s - loss: 64.4871 - logits_profile_predictions_loss: 64.0188 - logcount_predictions_loss: 0.4683 683/685 [============================>.] - ETA: 1s - loss: 64.5092 - logits_profile_predictions_loss: 64.0409 - logcount_predictions_loss: 0.4683 684/685 [============================>.] - ETA: 0s - loss: 64.5017 - logits_profile_predictions_loss: 64.0335 - logcount_predictions_loss: 0.4683 685/685 [==============================] - ETA: 0s - loss: 64.4955 - logits_profile_predictions_loss: 64.0273 - logcount_predictions_loss: 0.4683 Epoch 6: val_loss did not improve from 68.85507  685/685 [==============================] - 534s 780ms/step - loss: 64.4955 - logits_profile_predictions_loss: 64.0273 - logcount_predictions_loss: 0.4683 - val_loss: 69.1223 - val_logits_profile_predictions_loss: 68.6502 - val_logcount_predictions_loss: 0.4721 Epoch 7/50 1/685 [..............................] - ETA: 8:16 - loss: 64.5293 - logits_profile_predictions_loss: 64.1329 - logcount_predictions_loss: 0.3964 2/685 [..............................] - ETA: 8:09 - loss: 65.9504 - logits_profile_predictions_loss: 65.5821 - logcount_predictions_loss: 0.3683 3/685 [..............................] - ETA: 8:11 - loss: 65.4181 - logits_profile_predictions_loss: 65.0909 - logcount_predictions_loss: 0.3272 4/685 [..............................] - ETA: 8:15 - loss: 66.3194 - logits_profile_predictions_loss: 65.9564 - logcount_predictions_loss: 0.3630 5/685 [..............................] - ETA: 8:13 - loss: 68.8900 - logits_profile_predictions_loss: 68.5101 - logcount_predictions_loss: 0.3798 6/685 [..............................] - ETA: 8:14 - loss: 67.9807 - logits_profile_predictions_loss: 67.6069 - logcount_predictions_loss: 0.3737 7/685 [..............................] - ETA: 8:13 - loss: 67.6104 - logits_profile_predictions_loss: 67.2318 - logcount_predictions_loss: 0.3786 8/685 [..............................] - ETA: 8:13 - loss: 69.7850 - logits_profile_predictions_loss: 69.3831 - logcount_predictions_loss: 0.4019 9/685 [..............................] - ETA: 8:12 - loss: 68.8220 - logits_profile_predictions_loss: 68.4243 - logcount_predictions_loss: 0.3977 10/685 [..............................] - ETA: 8:11 - loss: 68.5866 - logits_profile_predictions_loss: 68.1833 - logcount_predictions_loss: 0.4033 11/685 [..............................] - ETA: 8:11 - loss: 68.4682 - logits_profile_predictions_loss: 68.0570 - logcount_predictions_loss: 0.4112 12/685 [..............................] - ETA: 8:11 - loss: 68.4426 - logits_profile_predictions_loss: 68.0412 - logcount_predictions_loss: 0.4014 13/685 [..............................] - ETA: 8:10 - loss: 68.1024 - logits_profile_predictions_loss: 67.6913 - logcount_predictions_loss: 0.4111 14/685 [..............................] - ETA: 8:10 - loss: 67.4567 - logits_profile_predictions_loss: 67.0347 - logcount_predictions_loss: 0.4219 15/685 [..............................] - ETA: 8:09 - loss: 67.6525 - logits_profile_predictions_loss: 67.2206 - logcount_predictions_loss: 0.4320 16/685 [..............................] - ETA: 8:09 - loss: 68.1727 - logits_profile_predictions_loss: 67.7357 - logcount_predictions_loss: 0.4369 17/685 [..............................] - ETA: 8:08 - loss: 67.1282 - logits_profile_predictions_loss: 66.6904 - logcount_predictions_loss: 0.4377 18/685 [..............................] - ETA: 8:08 - loss: 67.6391 - logits_profile_predictions_loss: 67.1865 - logcount_predictions_loss: 0.4526 19/685 [..............................] - ETA: 8:08 - loss: 68.0908 - logits_profile_predictions_loss: 67.6480 - logcount_predictions_loss: 0.4428 20/685 [..............................] - ETA: 8:07 - loss: 67.8344 - logits_profile_predictions_loss: 67.3956 - logcount_predictions_loss: 0.4388 21/685 [..............................] - ETA: 8:07 - loss: 67.4185 - logits_profile_predictions_loss: 66.9736 - logcount_predictions_loss: 0.4449 22/685 [..............................] - ETA: 8:07 - loss: 67.6939 - logits_profile_predictions_loss: 67.2436 - logcount_predictions_loss: 0.4503 23/685 [>.............................] - ETA: 8:06 - loss: 67.6035 - logits_profile_predictions_loss: 67.1479 - logcount_predictions_loss: 0.4557 24/685 [>.............................] - ETA: 8:05 - loss: 67.3558 - logits_profile_predictions_loss: 66.8961 - logcount_predictions_loss: 0.4597 25/685 [>.............................] - ETA: 8:04 - loss: 67.0892 - logits_profile_predictions_loss: 66.6343 - logcount_predictions_loss: 0.4550 26/685 [>.............................] - ETA: 8:03 - loss: 67.2125 - logits_profile_predictions_loss: 66.7575 - logcount_predictions_loss: 0.4551 27/685 [>.............................] - ETA: 8:02 - loss: 67.0164 - logits_profile_predictions_loss: 66.5629 - logcount_predictions_loss: 0.4535 28/685 [>.............................] - ETA: 8:02 - loss: 66.4417 - logits_profile_predictions_loss: 65.9925 - logcount_predictions_loss: 0.4492 29/685 [>.............................] - ETA: 8:02 - loss: 66.4795 - logits_profile_predictions_loss: 66.0297 - logcount_predictions_loss: 0.4498 30/685 [>.............................] - ETA: 8:01 - loss: 66.3534 - logits_profile_predictions_loss: 65.9055 - logcount_predictions_loss: 0.4479 31/685 [>.............................] - ETA: 8:00 - loss: 66.1153 - logits_profile_predictions_loss: 65.6673 - logcount_predictions_loss: 0.4481 32/685 [>.............................] - ETA: 8:00 - loss: 66.0004 - logits_profile_predictions_loss: 65.5524 - logcount_predictions_loss: 0.4480 33/685 [>.............................] - ETA: 7:59 - loss: 65.7560 - logits_profile_predictions_loss: 65.3096 - logcount_predictions_loss: 0.4464 34/685 [>.............................] - ETA: 7:58 - loss: 65.8114 - logits_profile_predictions_loss: 65.3665 - logcount_predictions_loss: 0.4450 35/685 [>.............................] - ETA: 7:57 - loss: 65.7227 - logits_profile_predictions_loss: 65.2731 - logcount_predictions_loss: 0.4496 36/685 [>.............................] - ETA: 7:57 - loss: 65.4382 - logits_profile_predictions_loss: 64.9905 - logcount_predictions_loss: 0.4477 37/685 [>.............................] - ETA: 7:56 - loss: 65.2026 - logits_profile_predictions_loss: 64.7555 - logcount_predictions_loss: 0.4471 38/685 [>.............................] - ETA: 7:55 - loss: 65.1407 - logits_profile_predictions_loss: 64.6960 - logcount_predictions_loss: 0.4448 39/685 [>.............................] - ETA: 7:55 - loss: 65.2354 - logits_profile_predictions_loss: 64.7890 - logcount_predictions_loss: 0.4464 40/685 [>.............................] - ETA: 7:54 - loss: 65.0940 - logits_profile_predictions_loss: 64.6488 - logcount_predictions_loss: 0.4452 41/685 [>.............................] - ETA: 7:54 - loss: 65.0462 - logits_profile_predictions_loss: 64.5995 - logcount_predictions_loss: 0.4468 42/685 [>.............................] - ETA: 7:53 - loss: 65.2552 - logits_profile_predictions_loss: 64.8090 - logcount_predictions_loss: 0.4462 43/685 [>.............................] - ETA: 7:53 - loss: 65.0461 - logits_profile_predictions_loss: 64.5981 - logcount_predictions_loss: 0.4480 44/685 [>.............................] - ETA: 7:52 - loss: 64.9006 - logits_profile_predictions_loss: 64.4529 - logcount_predictions_loss: 0.4477 45/685 [>.............................] - ETA: 7:51 - loss: 64.7278 - logits_profile_predictions_loss: 64.2838 - logcount_predictions_loss: 0.4440 46/685 [=>............................] - ETA: 7:50 - loss: 64.5279 - logits_profile_predictions_loss: 64.0820 - logcount_predictions_loss: 0.4459 47/685 [=>............................] - ETA: 7:49 - loss: 64.6080 - logits_profile_predictions_loss: 64.1605 - logcount_predictions_loss: 0.4475 48/685 [=>............................] - ETA: 7:49 - loss: 64.6349 - logits_profile_predictions_loss: 64.1884 - logcount_predictions_loss: 0.4465 49/685 [=>............................] - ETA: 7:48 - loss: 64.7178 - logits_profile_predictions_loss: 64.2715 - logcount_predictions_loss: 0.4463 50/685 [=>............................] - ETA: 7:47 - loss: 64.5128 - logits_profile_predictions_loss: 64.0673 - logcount_predictions_loss: 0.4455 51/685 [=>............................] - ETA: 7:46 - loss: 64.4291 - logits_profile_predictions_loss: 63.9830 - logcount_predictions_loss: 0.4461 52/685 [=>............................] - ETA: 7:45 - loss: 64.4619 - logits_profile_predictions_loss: 64.0187 - logcount_predictions_loss: 0.4432 53/685 [=>............................] - ETA: 7:45 - loss: 64.5478 - logits_profile_predictions_loss: 64.1004 - logcount_predictions_loss: 0.4474 54/685 [=>............................] - ETA: 7:44 - loss: 64.6299 - logits_profile_predictions_loss: 64.1824 - logcount_predictions_loss: 0.4475 55/685 [=>............................] - ETA: 7:43 - loss: 64.5070 - logits_profile_predictions_loss: 64.0607 - logcount_predictions_loss: 0.4463 56/685 [=>............................] - ETA: 7:42 - loss: 64.4757 - logits_profile_predictions_loss: 64.0296 - logcount_predictions_loss: 0.4461 57/685 [=>............................] - ETA: 7:42 - loss: 64.6528 - logits_profile_predictions_loss: 64.2057 - logcount_predictions_loss: 0.4472 58/685 [=>............................] - ETA: 7:41 - loss: 64.4069 - logits_profile_predictions_loss: 63.9632 - logcount_predictions_loss: 0.4437 59/685 [=>............................] - ETA: 7:40 - loss: 64.3427 - logits_profile_predictions_loss: 63.8981 - logcount_predictions_loss: 0.4446 60/685 [=>............................] - ETA: 7:39 - loss: 64.4194 - logits_profile_predictions_loss: 63.9730 - logcount_predictions_loss: 0.4464 61/685 [=>............................] - ETA: 7:38 - loss: 64.3459 - logits_profile_predictions_loss: 63.9003 - logcount_predictions_loss: 0.4457 62/685 [=>............................] - ETA: 7:38 - loss: 64.4006 - logits_profile_predictions_loss: 63.9550 - logcount_predictions_loss: 0.4456 63/685 [=>............................] - ETA: 7:37 - loss: 64.4257 - logits_profile_predictions_loss: 63.9783 - logcount_predictions_loss: 0.4475 64/685 [=>............................] - ETA: 7:36 - loss: 64.3100 - logits_profile_predictions_loss: 63.8614 - logcount_predictions_loss: 0.4486 65/685 [=>............................] - ETA: 7:35 - loss: 64.3636 - logits_profile_predictions_loss: 63.9149 - logcount_predictions_loss: 0.4487 66/685 [=>............................] - ETA: 7:35 - loss: 64.4773 - logits_profile_predictions_loss: 64.0272 - logcount_predictions_loss: 0.4501 67/685 [=>............................] - ETA: 7:34 - loss: 64.3760 - logits_profile_predictions_loss: 63.9256 - logcount_predictions_loss: 0.4504 68/685 [=>............................] - ETA: 7:33 - loss: 64.3291 - logits_profile_predictions_loss: 63.8792 - logcount_predictions_loss: 0.4500 69/685 [==>...........................] - ETA: 7:32 - loss: 64.1387 - logits_profile_predictions_loss: 63.6902 - logcount_predictions_loss: 0.4486 70/685 [==>...........................] - ETA: 7:32 - loss: 64.2177 - logits_profile_predictions_loss: 63.7676 - logcount_predictions_loss: 0.4501 71/685 [==>...........................] - ETA: 7:31 - loss: 64.2625 - logits_profile_predictions_loss: 63.8113 - logcount_predictions_loss: 0.4512 72/685 [==>...........................] - ETA: 7:30 - loss: 64.2599 - logits_profile_predictions_loss: 63.8106 - logcount_predictions_loss: 0.4494 73/685 [==>...........................] - ETA: 7:30 - loss: 64.3131 - logits_profile_predictions_loss: 63.8623 - logcount_predictions_loss: 0.4508 74/685 [==>...........................] - ETA: 7:29 - loss: 64.3428 - logits_profile_predictions_loss: 63.8922 - logcount_predictions_loss: 0.4507 75/685 [==>...........................] - ETA: 7:28 - loss: 64.3608 - logits_profile_predictions_loss: 63.9097 - logcount_predictions_loss: 0.4511 76/685 [==>...........................] - ETA: 7:28 - loss: 64.3589 - logits_profile_predictions_loss: 63.9072 - logcount_predictions_loss: 0.4517 77/685 [==>...........................] - ETA: 7:27 - loss: 64.2858 - logits_profile_predictions_loss: 63.8357 - logcount_predictions_loss: 0.4501 78/685 [==>...........................] - ETA: 7:27 - loss: 64.4443 - logits_profile_predictions_loss: 63.9937 - logcount_predictions_loss: 0.4507 79/685 [==>...........................] - ETA: 7:26 - loss: 64.3572 - logits_profile_predictions_loss: 63.9073 - logcount_predictions_loss: 0.4499 80/685 [==>...........................] - ETA: 7:25 - loss: 64.3042 - logits_profile_predictions_loss: 63.8563 - logcount_predictions_loss: 0.4479 81/685 [==>...........................] - ETA: 7:25 - loss: 64.3690 - logits_profile_predictions_loss: 63.9227 - logcount_predictions_loss: 0.4463 82/685 [==>...........................] - ETA: 7:24 - loss: 64.4352 - logits_profile_predictions_loss: 63.9895 - logcount_predictions_loss: 0.4457 83/685 [==>...........................] - ETA: 7:23 - loss: 64.4505 - logits_profile_predictions_loss: 64.0041 - logcount_predictions_loss: 0.4465 84/685 [==>...........................] - ETA: 7:22 - loss: 64.4264 - logits_profile_predictions_loss: 63.9798 - logcount_predictions_loss: 0.4466 85/685 [==>...........................] - ETA: 7:22 - loss: 64.3711 - logits_profile_predictions_loss: 63.9247 - logcount_predictions_loss: 0.4464 86/685 [==>...........................] - ETA: 7:21 - loss: 64.3133 - logits_profile_predictions_loss: 63.8674 - logcount_predictions_loss: 0.4459 87/685 [==>...........................] - ETA: 7:20 - loss: 64.2968 - logits_profile_predictions_loss: 63.8535 - logcount_predictions_loss: 0.4433 88/685 [==>...........................] - ETA: 7:19 - loss: 64.3047 - logits_profile_predictions_loss: 63.8604 - logcount_predictions_loss: 0.4444 89/685 [==>...........................] - ETA: 7:19 - loss: 64.1726 - logits_profile_predictions_loss: 63.7259 - logcount_predictions_loss: 0.4467 90/685 [==>...........................] - ETA: 7:18 - loss: 64.1852 - logits_profile_predictions_loss: 63.7388 - logcount_predictions_loss: 0.4464 91/685 [==>...........................] - ETA: 7:17 - loss: 64.1576 - logits_profile_predictions_loss: 63.7099 - logcount_predictions_loss: 0.4478 92/685 [===>..........................] - ETA: 7:16 - loss: 64.1051 - logits_profile_predictions_loss: 63.6567 - logcount_predictions_loss: 0.4484 93/685 [===>..........................] - ETA: 7:16 - loss: 64.0983 - logits_profile_predictions_loss: 63.6507 - logcount_predictions_loss: 0.4475 94/685 [===>..........................] - ETA: 7:15 - loss: 64.0412 - logits_profile_predictions_loss: 63.5943 - 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logits_profile_predictions_loss: 63.5641 - logcount_predictions_loss: 0.4433 676/685 [============================>.] - ETA: 6s - loss: 64.0122 - logits_profile_predictions_loss: 63.5689 - logcount_predictions_loss: 0.4433 677/685 [============================>.] - ETA: 6s - loss: 64.0157 - logits_profile_predictions_loss: 63.5723 - logcount_predictions_loss: 0.4434 678/685 [============================>.] - ETA: 5s - loss: 64.0373 - logits_profile_predictions_loss: 63.5939 - logcount_predictions_loss: 0.4434 679/685 [============================>.] - ETA: 4s - loss: 64.0238 - logits_profile_predictions_loss: 63.5804 - logcount_predictions_loss: 0.4434 680/685 [============================>.] - ETA: 3s - loss: 64.0210 - logits_profile_predictions_loss: 63.5777 - logcount_predictions_loss: 0.4433 681/685 [============================>.] - ETA: 3s - loss: 64.0148 - logits_profile_predictions_loss: 63.5716 - logcount_predictions_loss: 0.4431 682/685 [============================>.] - ETA: 2s - loss: 64.0033 - logits_profile_predictions_loss: 63.5603 - logcount_predictions_loss: 0.4429 683/685 [============================>.] - ETA: 1s - loss: 64.0019 - logits_profile_predictions_loss: 63.5592 - logcount_predictions_loss: 0.4428 684/685 [============================>.] - ETA: 0s - loss: 63.9907 - logits_profile_predictions_loss: 63.5480 - logcount_predictions_loss: 0.4426 685/685 [==============================] - ETA: 0s - loss: 63.9898 - logits_profile_predictions_loss: 63.5472 - logcount_predictions_loss: 0.4426 Epoch 7: val_loss did not improve from 68.85507  685/685 [==============================] - 535s 781ms/step - loss: 63.9898 - logits_profile_predictions_loss: 63.5472 - logcount_predictions_loss: 0.4426 - val_loss: 69.1762 - val_logits_profile_predictions_loss: 68.7480 - val_logcount_predictions_loss: 0.4282 Epoch 8/50 1/685 [..............................] - ETA: 8:11 - loss: 75.1883 - logits_profile_predictions_loss: 74.7348 - logcount_predictions_loss: 0.4535 2/685 [..............................] - ETA: 8:11 - loss: 68.1628 - logits_profile_predictions_loss: 67.6683 - logcount_predictions_loss: 0.4945 3/685 [..............................] - ETA: 8:15 - loss: 64.7034 - logits_profile_predictions_loss: 64.2309 - logcount_predictions_loss: 0.4725 4/685 [..............................] - ETA: 8:16 - loss: 64.7513 - logits_profile_predictions_loss: 64.2830 - logcount_predictions_loss: 0.4683 5/685 [..............................] - ETA: 8:13 - loss: 65.0667 - logits_profile_predictions_loss: 64.5861 - logcount_predictions_loss: 0.4805 6/685 [..............................] - ETA: 8:12 - loss: 63.0324 - logits_profile_predictions_loss: 62.5672 - logcount_predictions_loss: 0.4652 7/685 [..............................] - ETA: 8:11 - loss: 61.9947 - logits_profile_predictions_loss: 61.5295 - logcount_predictions_loss: 0.4653 8/685 [..............................] - ETA: 8:10 - loss: 61.4213 - logits_profile_predictions_loss: 60.9578 - logcount_predictions_loss: 0.4635 9/685 [..............................] - ETA: 8:10 - loss: 61.6854 - logits_profile_predictions_loss: 61.2193 - logcount_predictions_loss: 0.4661 10/685 [..............................] - ETA: 7:46 - loss: 62.1328 - logits_profile_predictions_loss: 61.6709 - logcount_predictions_loss: 0.4619 11/685 [..............................] - ETA: 7:49 - loss: 62.6723 - logits_profile_predictions_loss: 62.2114 - logcount_predictions_loss: 0.4609 12/685 [..............................] - ETA: 7:51 - loss: 62.6948 - logits_profile_predictions_loss: 62.2442 - logcount_predictions_loss: 0.4506 13/685 [..............................] - ETA: 7:52 - loss: 61.8458 - logits_profile_predictions_loss: 61.4063 - logcount_predictions_loss: 0.4395 14/685 [..............................] - ETA: 7:52 - loss: 62.5444 - logits_profile_predictions_loss: 62.0976 - logcount_predictions_loss: 0.4468 15/685 [..............................] - ETA: 7:52 - loss: 62.1560 - logits_profile_predictions_loss: 61.7138 - logcount_predictions_loss: 0.4422 16/685 [..............................] - ETA: 7:53 - loss: 62.5206 - logits_profile_predictions_loss: 62.0776 - logcount_predictions_loss: 0.4430 17/685 [..............................] - ETA: 7:54 - loss: 62.2224 - logits_profile_predictions_loss: 61.7593 - logcount_predictions_loss: 0.4632 18/685 [..............................] - ETA: 7:55 - loss: 61.9822 - logits_profile_predictions_loss: 61.5125 - logcount_predictions_loss: 0.4696 19/685 [..............................] - ETA: 7:55 - loss: 61.5196 - logits_profile_predictions_loss: 61.0524 - logcount_predictions_loss: 0.4672 20/685 [..............................] - ETA: 7:54 - loss: 62.0664 - logits_profile_predictions_loss: 61.5889 - logcount_predictions_loss: 0.4776 21/685 [..............................] - ETA: 7:54 - loss: 61.9940 - logits_profile_predictions_loss: 61.5066 - logcount_predictions_loss: 0.4874 22/685 [..............................] - ETA: 7:54 - loss: 61.4715 - logits_profile_predictions_loss: 60.9871 - logcount_predictions_loss: 0.4843 23/685 [>.............................] - ETA: 7:55 - loss: 61.8179 - logits_profile_predictions_loss: 61.3369 - logcount_predictions_loss: 0.4809 24/685 [>.............................] - ETA: 7:55 - loss: 61.4070 - logits_profile_predictions_loss: 60.9283 - logcount_predictions_loss: 0.4786 25/685 [>.............................] - ETA: 7:55 - loss: 61.4426 - logits_profile_predictions_loss: 60.9699 - logcount_predictions_loss: 0.4727 26/685 [>.............................] - ETA: 7:54 - loss: 61.0014 - logits_profile_predictions_loss: 60.5312 - logcount_predictions_loss: 0.4702 27/685 [>.............................] - ETA: 7:54 - loss: 61.0952 - logits_profile_predictions_loss: 60.6313 - logcount_predictions_loss: 0.4639 28/685 [>.............................] - ETA: 7:54 - loss: 61.1227 - logits_profile_predictions_loss: 60.6597 - logcount_predictions_loss: 0.4630 29/685 [>.............................] - ETA: 7:53 - loss: 60.9499 - logits_profile_predictions_loss: 60.4912 - logcount_predictions_loss: 0.4587 30/685 [>.............................] - ETA: 7:53 - loss: 61.1139 - logits_profile_predictions_loss: 60.6539 - logcount_predictions_loss: 0.4600 31/685 [>.............................] - ETA: 7:52 - loss: 61.1305 - logits_profile_predictions_loss: 60.6739 - logcount_predictions_loss: 0.4566 32/685 [>.............................] - ETA: 7:51 - loss: 61.5031 - logits_profile_predictions_loss: 61.0489 - logcount_predictions_loss: 0.4542 33/685 [>.............................] - ETA: 7:51 - loss: 61.4117 - logits_profile_predictions_loss: 60.9565 - logcount_predictions_loss: 0.4552 34/685 [>.............................] - ETA: 7:50 - loss: 61.4971 - logits_profile_predictions_loss: 61.0419 - logcount_predictions_loss: 0.4552 35/685 [>.............................] - ETA: 7:50 - loss: 61.9826 - logits_profile_predictions_loss: 61.5301 - logcount_predictions_loss: 0.4524 36/685 [>.............................] - ETA: 7:49 - loss: 62.3114 - logits_profile_predictions_loss: 61.8602 - logcount_predictions_loss: 0.4513 37/685 [>.............................] - ETA: 7:49 - loss: 62.3030 - logits_profile_predictions_loss: 61.8541 - logcount_predictions_loss: 0.4488 38/685 [>.............................] - ETA: 7:49 - loss: 62.5395 - logits_profile_predictions_loss: 62.0923 - logcount_predictions_loss: 0.4473 39/685 [>.............................] - ETA: 7:49 - loss: 62.6458 - logits_profile_predictions_loss: 62.2013 - logcount_predictions_loss: 0.4446 40/685 [>.............................] - ETA: 7:49 - loss: 62.6285 - logits_profile_predictions_loss: 62.1860 - logcount_predictions_loss: 0.4426 41/685 [>.............................] - ETA: 7:48 - loss: 62.5619 - logits_profile_predictions_loss: 62.1216 - logcount_predictions_loss: 0.4402 42/685 [>.............................] - ETA: 7:48 - loss: 62.4142 - logits_profile_predictions_loss: 61.9757 - logcount_predictions_loss: 0.4386 43/685 [>.............................] - ETA: 7:47 - loss: 62.5617 - logits_profile_predictions_loss: 62.1225 - logcount_predictions_loss: 0.4393 44/685 [>.............................] - ETA: 7:46 - loss: 62.5036 - logits_profile_predictions_loss: 62.0638 - logcount_predictions_loss: 0.4398 45/685 [>.............................] - ETA: 7:46 - loss: 62.5293 - logits_profile_predictions_loss: 62.0902 - logcount_predictions_loss: 0.4391 46/685 [=>............................] - ETA: 7:45 - loss: 62.7886 - logits_profile_predictions_loss: 62.3495 - logcount_predictions_loss: 0.4391 47/685 [=>............................] - ETA: 7:44 - loss: 63.3739 - logits_profile_predictions_loss: 62.9360 - logcount_predictions_loss: 0.4379 48/685 [=>............................] - ETA: 7:44 - loss: 63.3163 - logits_profile_predictions_loss: 62.8806 - logcount_predictions_loss: 0.4357 49/685 [=>............................] - ETA: 7:43 - loss: 63.1840 - logits_profile_predictions_loss: 62.7482 - logcount_predictions_loss: 0.4358 50/685 [=>............................] - ETA: 7:42 - loss: 63.0608 - logits_profile_predictions_loss: 62.6244 - logcount_predictions_loss: 0.4364 51/685 [=>............................] - ETA: 7:42 - loss: 63.1069 - logits_profile_predictions_loss: 62.6727 - logcount_predictions_loss: 0.4342 52/685 [=>............................] - ETA: 7:41 - loss: 63.3304 - logits_profile_predictions_loss: 62.8975 - logcount_predictions_loss: 0.4329 53/685 [=>............................] - ETA: 7:40 - loss: 63.4239 - logits_profile_predictions_loss: 62.9886 - logcount_predictions_loss: 0.4353 54/685 [=>............................] - ETA: 7:40 - loss: 63.6688 - logits_profile_predictions_loss: 63.2358 - logcount_predictions_loss: 0.4330 55/685 [=>............................] - ETA: 7:39 - loss: 63.8778 - logits_profile_predictions_loss: 63.4449 - logcount_predictions_loss: 0.4329 56/685 [=>............................] - ETA: 7:39 - loss: 63.9247 - logits_profile_predictions_loss: 63.4924 - logcount_predictions_loss: 0.4324 57/685 [=>............................] - ETA: 7:39 - loss: 63.9654 - logits_profile_predictions_loss: 63.5300 - logcount_predictions_loss: 0.4354 58/685 [=>............................] - ETA: 7:38 - loss: 63.9271 - logits_profile_predictions_loss: 63.4913 - logcount_predictions_loss: 0.4358 59/685 [=>............................] - ETA: 7:37 - loss: 63.8416 - logits_profile_predictions_loss: 63.4049 - logcount_predictions_loss: 0.4366 60/685 [=>............................] - ETA: 7:37 - loss: 63.8323 - logits_profile_predictions_loss: 63.3949 - logcount_predictions_loss: 0.4374 61/685 [=>............................] - ETA: 7:36 - loss: 63.7538 - logits_profile_predictions_loss: 63.3167 - logcount_predictions_loss: 0.4372 62/685 [=>............................] - ETA: 7:36 - loss: 63.7497 - logits_profile_predictions_loss: 63.3132 - logcount_predictions_loss: 0.4365 63/685 [=>............................] - ETA: 7:35 - loss: 63.8031 - logits_profile_predictions_loss: 63.3671 - logcount_predictions_loss: 0.4360 64/685 [=>............................] - ETA: 7:35 - loss: 63.9729 - logits_profile_predictions_loss: 63.5371 - logcount_predictions_loss: 0.4358 65/685 [=>............................] - ETA: 7:34 - loss: 64.2253 - logits_profile_predictions_loss: 63.7904 - logcount_predictions_loss: 0.4349 66/685 [=>............................] - ETA: 7:34 - loss: 64.1881 - logits_profile_predictions_loss: 63.7512 - logcount_predictions_loss: 0.4369 67/685 [=>............................] - ETA: 7:34 - loss: 64.0969 - logits_profile_predictions_loss: 63.6602 - logcount_predictions_loss: 0.4367 68/685 [=>............................] - ETA: 7:34 - loss: 64.1900 - logits_profile_predictions_loss: 63.7521 - logcount_predictions_loss: 0.4379 69/685 [==>...........................] - ETA: 7:33 - loss: 64.0934 - logits_profile_predictions_loss: 63.6554 - logcount_predictions_loss: 0.4381 70/685 [==>...........................] - ETA: 7:32 - loss: 63.9302 - logits_profile_predictions_loss: 63.4912 - logcount_predictions_loss: 0.4390 71/685 [==>...........................] - ETA: 7:31 - loss: 63.8752 - logits_profile_predictions_loss: 63.4372 - logcount_predictions_loss: 0.4380 72/685 [==>...........................] - ETA: 7:31 - loss: 63.7467 - logits_profile_predictions_loss: 63.3099 - logcount_predictions_loss: 0.4368 73/685 [==>...........................] - ETA: 7:30 - loss: 63.7877 - logits_profile_predictions_loss: 63.3518 - logcount_predictions_loss: 0.4359 74/685 [==>...........................] - ETA: 7:29 - loss: 63.7536 - logits_profile_predictions_loss: 63.3173 - logcount_predictions_loss: 0.4364 75/685 [==>...........................] - ETA: 7:29 - loss: 63.7128 - logits_profile_predictions_loss: 63.2775 - logcount_predictions_loss: 0.4353 76/685 [==>...........................] - ETA: 7:28 - loss: 63.5087 - logits_profile_predictions_loss: 63.0753 - logcount_predictions_loss: 0.4333 77/685 [==>...........................] - ETA: 7:28 - loss: 63.4983 - logits_profile_predictions_loss: 63.0665 - logcount_predictions_loss: 0.4318 78/685 [==>...........................] - ETA: 7:28 - loss: 63.5296 - logits_profile_predictions_loss: 63.0981 - logcount_predictions_loss: 0.4314 79/685 [==>...........................] - ETA: 7:28 - loss: 63.5611 - logits_profile_predictions_loss: 63.1288 - logcount_predictions_loss: 0.4323 80/685 [==>...........................] - ETA: 7:28 - loss: 63.4641 - logits_profile_predictions_loss: 63.0327 - logcount_predictions_loss: 0.4314 81/685 [==>...........................] - ETA: 7:28 - loss: 63.4232 - logits_profile_predictions_loss: 62.9926 - logcount_predictions_loss: 0.4306 82/685 [==>...........................] - ETA: 7:27 - loss: 63.4750 - logits_profile_predictions_loss: 63.0459 - logcount_predictions_loss: 0.4291 83/685 [==>...........................] - ETA: 7:27 - loss: 63.6953 - logits_profile_predictions_loss: 63.2669 - logcount_predictions_loss: 0.4284 84/685 [==>...........................] - ETA: 7:26 - loss: 63.7968 - logits_profile_predictions_loss: 63.3694 - logcount_predictions_loss: 0.4274 85/685 [==>...........................] - ETA: 7:26 - loss: 63.9111 - logits_profile_predictions_loss: 63.4828 - logcount_predictions_loss: 0.4283 86/685 [==>...........................] - ETA: 7:25 - loss: 63.8730 - logits_profile_predictions_loss: 63.4434 - logcount_predictions_loss: 0.4296 87/685 [==>...........................] - ETA: 7:24 - loss: 63.9195 - logits_profile_predictions_loss: 63.4909 - logcount_predictions_loss: 0.4286 88/685 [==>...........................] - ETA: 7:23 - loss: 63.8479 - logits_profile_predictions_loss: 63.4192 - logcount_predictions_loss: 0.4287 89/685 [==>...........................] - ETA: 7:23 - loss: 63.8705 - logits_profile_predictions_loss: 63.4416 - logcount_predictions_loss: 0.4289 90/685 [==>...........................] - ETA: 7:22 - loss: 63.7591 - logits_profile_predictions_loss: 63.3303 - logcount_predictions_loss: 0.4288 91/685 [==>...........................] - ETA: 7:21 - loss: 63.7429 - logits_profile_predictions_loss: 63.3137 - logcount_predictions_loss: 0.4292 92/685 [===>..........................] - ETA: 7:20 - loss: 63.7275 - logits_profile_predictions_loss: 63.2990 - logcount_predictions_loss: 0.4285 93/685 [===>..........................] - ETA: 7:20 - loss: 63.8083 - logits_profile_predictions_loss: 63.3796 - logcount_predictions_loss: 0.4287 94/685 [===>..........................] - ETA: 7:19 - loss: 63.6978 - logits_profile_predictions_loss: 63.2695 - logcount_predictions_loss: 0.4283 95/685 [===>..........................] - ETA: 7:19 - loss: 63.7348 - logits_profile_predictions_loss: 63.3071 - logcount_predictions_loss: 0.4277 96/685 [===>..........................] - ETA: 7:18 - loss: 63.8117 - logits_profile_predictions_loss: 63.3827 - logcount_predictions_loss: 0.4291 97/685 [===>..........................] - ETA: 7:17 - loss: 63.7123 - logits_profile_predictions_loss: 63.2830 - logcount_predictions_loss: 0.4293 98/685 [===>..........................] - ETA: 7:16 - loss: 63.7573 - logits_profile_predictions_loss: 63.3267 - logcount_predictions_loss: 0.4306 99/685 [===>..........................] - ETA: 7:16 - loss: 63.7906 - logits_profile_predictions_loss: 63.3609 - logcount_predictions_loss: 0.4297 100/685 [===>..........................] - ETA: 7:15 - loss: 63.7751 - logits_profile_predictions_loss: 63.3456 - logcount_predictions_loss: 0.4295 101/685 [===>..........................] - ETA: 7:14 - loss: 63.7779 - logits_profile_predictions_loss: 63.3474 - logcount_predictions_loss: 0.4305 102/685 [===>..........................] - ETA: 7:13 - loss: 63.8193 - logits_profile_predictions_loss: 63.3861 - logcount_predictions_loss: 0.4332 103/685 [===>..........................] - ETA: 7:12 - loss: 63.8945 - logits_profile_predictions_loss: 63.4602 - logcount_predictions_loss: 0.4343 104/685 [===>..........................] - ETA: 7:12 - loss: 63.8460 - logits_profile_predictions_loss: 63.4129 - logcount_predictions_loss: 0.4331 105/685 [===>..........................] - ETA: 7:11 - loss: 63.8083 - logits_profile_predictions_loss: 63.3755 - logcount_predictions_loss: 0.4328 106/685 [===>..........................] - ETA: 7:10 - loss: 63.7655 - logits_profile_predictions_loss: 63.3326 - logcount_predictions_loss: 0.4329 107/685 [===>..........................] - ETA: 7:09 - loss: 63.7564 - logits_profile_predictions_loss: 63.3228 - logcount_predictions_loss: 0.4336 108/685 [===>..........................] - ETA: 7:09 - loss: 63.6834 - logits_profile_predictions_loss: 63.2492 - logcount_predictions_loss: 0.4341 109/685 [===>..........................] - ETA: 7:08 - loss: 63.6599 - logits_profile_predictions_loss: 63.2263 - logcount_predictions_loss: 0.4336 110/685 [===>..........................] - ETA: 7:07 - loss: 63.5888 - logits_profile_predictions_loss: 63.1552 - logcount_predictions_loss: 0.4336 111/685 [===>..........................] - ETA: 7:06 - loss: 63.5861 - logits_profile_predictions_loss: 63.1533 - logcount_predictions_loss: 0.4328 112/685 [===>..........................] - ETA: 7:05 - loss: 63.5544 - logits_profile_predictions_loss: 63.1221 - logcount_predictions_loss: 0.4324 113/685 [===>..........................] - ETA: 7:05 - loss: 63.5369 - logits_profile_predictions_loss: 63.1052 - logcount_predictions_loss: 0.4317 114/685 [===>..........................] - ETA: 7:04 - loss: 63.4600 - logits_profile_predictions_loss: 63.0269 - logcount_predictions_loss: 0.4331 115/685 [====>.........................] - ETA: 7:03 - loss: 63.4648 - logits_profile_predictions_loss: 63.0312 - logcount_predictions_loss: 0.4336 116/685 [====>.........................] - ETA: 7:02 - loss: 63.4851 - logits_profile_predictions_loss: 63.0502 - logcount_predictions_loss: 0.4350 117/685 [====>.........................] - ETA: 7:02 - loss: 63.4612 - logits_profile_predictions_loss: 63.0258 - logcount_predictions_loss: 0.4355 118/685 [====>.........................] - ETA: 7:01 - loss: 63.5306 - logits_profile_predictions_loss: 63.0934 - logcount_predictions_loss: 0.4372 119/685 [====>.........................] - ETA: 7:00 - loss: 63.5042 - logits_profile_predictions_loss: 63.0669 - logcount_predictions_loss: 0.4373 120/685 [====>.........................] - ETA: 6:59 - loss: 63.4834 - logits_profile_predictions_loss: 63.0466 - logcount_predictions_loss: 0.4369 121/685 [====>.........................] - ETA: 6:59 - loss: 63.5508 - logits_profile_predictions_loss: 63.1120 - logcount_predictions_loss: 0.4388 122/685 [====>.........................] - ETA: 6:58 - loss: 63.5397 - logits_profile_predictions_loss: 63.1002 - logcount_predictions_loss: 0.4396 123/685 [====>.........................] - ETA: 6:57 - loss: 63.5595 - logits_profile_predictions_loss: 63.1207 - logcount_predictions_loss: 0.4388 124/685 [====>.........................] - ETA: 6:56 - loss: 63.5824 - logits_profile_predictions_loss: 63.1433 - logcount_predictions_loss: 0.4391 125/685 [====>.........................] - ETA: 6:56 - loss: 63.4710 - logits_profile_predictions_loss: 63.0323 - logcount_predictions_loss: 0.4386 126/685 [====>.........................] - ETA: 6:55 - loss: 63.4432 - logits_profile_predictions_loss: 63.0045 - logcount_predictions_loss: 0.4387 127/685 [====>.........................] - ETA: 6:54 - loss: 63.4622 - logits_profile_predictions_loss: 63.0239 - logcount_predictions_loss: 0.4383 128/685 [====>.........................] - ETA: 6:54 - loss: 63.5230 - logits_profile_predictions_loss: 63.0839 - logcount_predictions_loss: 0.4391 129/685 [====>.........................] - ETA: 6:53 - loss: 63.4318 - logits_profile_predictions_loss: 62.9917 - 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[=========================>....] - ETA: 1:01 - loss: 63.4442 - logits_profile_predictions_loss: 63.0129 - logcount_predictions_loss: 0.4313 604/685 [=========================>....] - ETA: 1:00 - loss: 63.4288 - logits_profile_predictions_loss: 62.9977 - logcount_predictions_loss: 0.4311 605/685 [=========================>....] - ETA: 59s - loss: 63.4339 - logits_profile_predictions_loss: 63.0027 - logcount_predictions_loss: 0.4311  606/685 [=========================>....] - ETA: 59s - loss: 63.4467 - logits_profile_predictions_loss: 63.0156 - logcount_predictions_loss: 0.4310 607/685 [=========================>....] - ETA: 58s - loss: 63.4394 - logits_profile_predictions_loss: 63.0085 - logcount_predictions_loss: 0.4309 608/685 [=========================>....] - ETA: 57s - loss: 63.4585 - logits_profile_predictions_loss: 63.0273 - logcount_predictions_loss: 0.4312 609/685 [=========================>....] - ETA: 56s - loss: 63.4839 - logits_profile_predictions_loss: 63.0527 - 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- ETA: 46s - loss: 63.4556 - logits_profile_predictions_loss: 63.0247 - logcount_predictions_loss: 0.4309 624/685 [==========================>...] - ETA: 45s - loss: 63.4523 - logits_profile_predictions_loss: 63.0215 - logcount_predictions_loss: 0.4308 625/685 [==========================>...] - ETA: 44s - loss: 63.4511 - logits_profile_predictions_loss: 63.0204 - logcount_predictions_loss: 0.4307 626/685 [==========================>...] - ETA: 44s - loss: 63.4487 - logits_profile_predictions_loss: 63.0180 - logcount_predictions_loss: 0.4306 627/685 [==========================>...] - ETA: 43s - loss: 63.4480 - logits_profile_predictions_loss: 63.0172 - logcount_predictions_loss: 0.4307 628/685 [==========================>...] - ETA: 42s - loss: 63.4427 - logits_profile_predictions_loss: 63.0122 - logcount_predictions_loss: 0.4305 629/685 [==========================>...] - ETA: 41s - loss: 63.4495 - logits_profile_predictions_loss: 63.0189 - logcount_predictions_loss: 0.4305 630/685 [==========================>...] - ETA: 41s - loss: 63.4386 - logits_profile_predictions_loss: 63.0082 - logcount_predictions_loss: 0.4304 631/685 [==========================>...] - ETA: 40s - loss: 63.4517 - logits_profile_predictions_loss: 63.0213 - logcount_predictions_loss: 0.4304 632/685 [==========================>...] - ETA: 39s - loss: 63.4415 - logits_profile_predictions_loss: 63.0111 - logcount_predictions_loss: 0.4305 633/685 [==========================>...] - ETA: 38s - loss: 63.4637 - logits_profile_predictions_loss: 63.0329 - logcount_predictions_loss: 0.4308 634/685 [==========================>...] - ETA: 38s - loss: 63.4883 - logits_profile_predictions_loss: 63.0574 - logcount_predictions_loss: 0.4309 635/685 [==========================>...] - ETA: 37s - loss: 63.4748 - logits_profile_predictions_loss: 63.0439 - logcount_predictions_loss: 0.4309 636/685 [==========================>...] - ETA: 36s - loss: 63.4769 - logits_profile_predictions_loss: 63.0459 - 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logits_profile_predictions_loss: 63.0471 - logcount_predictions_loss: 0.4307 644/685 [===========================>..] - ETA: 30s - loss: 63.4799 - logits_profile_predictions_loss: 63.0491 - logcount_predictions_loss: 0.4307 645/685 [===========================>..] - ETA: 29s - loss: 63.4832 - logits_profile_predictions_loss: 63.0525 - logcount_predictions_loss: 0.4306 646/685 [===========================>..] - ETA: 29s - loss: 63.4862 - logits_profile_predictions_loss: 63.0557 - logcount_predictions_loss: 0.4304 647/685 [===========================>..] - ETA: 28s - loss: 63.4828 - logits_profile_predictions_loss: 63.0525 - logcount_predictions_loss: 0.4303 648/685 [===========================>..] - ETA: 27s - loss: 63.4908 - logits_profile_predictions_loss: 63.0603 - logcount_predictions_loss: 0.4304 649/685 [===========================>..] - ETA: 26s - loss: 63.4831 - logits_profile_predictions_loss: 63.0526 - logcount_predictions_loss: 0.4304 650/685 [===========================>..] - ETA: 26s - loss: 63.4848 - logits_profile_predictions_loss: 63.0543 - logcount_predictions_loss: 0.4304 651/685 [===========================>..] - ETA: 25s - loss: 63.4796 - logits_profile_predictions_loss: 63.0491 - logcount_predictions_loss: 0.4305 652/685 [===========================>..] - ETA: 24s - loss: 63.4739 - logits_profile_predictions_loss: 63.0434 - logcount_predictions_loss: 0.4305 653/685 [===========================>..] - ETA: 23s - loss: 63.4946 - logits_profile_predictions_loss: 63.0639 - logcount_predictions_loss: 0.4307 654/685 [===========================>..] - ETA: 23s - loss: 63.4977 - logits_profile_predictions_loss: 63.0669 - logcount_predictions_loss: 0.4308 655/685 [===========================>..] - ETA: 22s - loss: 63.4949 - logits_profile_predictions_loss: 63.0640 - logcount_predictions_loss: 0.4309 656/685 [===========================>..] - ETA: 21s - loss: 63.4929 - logits_profile_predictions_loss: 63.0619 - logcount_predictions_loss: 0.4310 657/685 [===========================>..] - ETA: 20s - loss: 63.5009 - logits_profile_predictions_loss: 63.0692 - logcount_predictions_loss: 0.4316 658/685 [===========================>..] - ETA: 20s - loss: 63.4802 - logits_profile_predictions_loss: 63.0487 - logcount_predictions_loss: 0.4315 659/685 [===========================>..] - ETA: 19s - loss: 63.4872 - logits_profile_predictions_loss: 63.0557 - logcount_predictions_loss: 0.4315 660/685 [===========================>..] - ETA: 18s - loss: 63.5003 - logits_profile_predictions_loss: 63.0689 - logcount_predictions_loss: 0.4313 661/685 [===========================>..] - ETA: 17s - loss: 63.4894 - logits_profile_predictions_loss: 63.0582 - logcount_predictions_loss: 0.4312 662/685 [===========================>..] - ETA: 17s - loss: 63.4955 - logits_profile_predictions_loss: 63.0643 - logcount_predictions_loss: 0.4312 663/685 [============================>.] - ETA: 16s - loss: 63.4823 - logits_profile_predictions_loss: 63.0511 - logcount_predictions_loss: 0.4311 664/685 [============================>.] - ETA: 15s - loss: 63.4807 - logits_profile_predictions_loss: 63.0496 - logcount_predictions_loss: 0.4310 665/685 [============================>.] - ETA: 14s - loss: 63.4679 - logits_profile_predictions_loss: 63.0370 - logcount_predictions_loss: 0.4309 666/685 [============================>.] - ETA: 14s - loss: 63.4533 - logits_profile_predictions_loss: 63.0224 - logcount_predictions_loss: 0.4309 667/685 [============================>.] - ETA: 13s - loss: 63.4455 - logits_profile_predictions_loss: 63.0145 - logcount_predictions_loss: 0.4310 668/685 [============================>.] - ETA: 12s - loss: 63.4436 - logits_profile_predictions_loss: 63.0126 - logcount_predictions_loss: 0.4310 669/685 [============================>.] - ETA: 11s - loss: 63.4529 - logits_profile_predictions_loss: 63.0218 - logcount_predictions_loss: 0.4310 670/685 [============================>.] - ETA: 11s - loss: 63.4527 - logits_profile_predictions_loss: 63.0220 - logcount_predictions_loss: 0.4307 671/685 [============================>.] - ETA: 10s - loss: 63.4697 - logits_profile_predictions_loss: 63.0389 - logcount_predictions_loss: 0.4308 672/685 [============================>.] - ETA: 9s - loss: 63.4732 - logits_profile_predictions_loss: 63.0426 - logcount_predictions_loss: 0.4306  673/685 [============================>.] - ETA: 8s - loss: 63.4643 - logits_profile_predictions_loss: 63.0338 - logcount_predictions_loss: 0.4305 674/685 [============================>.] - ETA: 8s - loss: 63.4959 - logits_profile_predictions_loss: 63.0654 - logcount_predictions_loss: 0.4305 675/685 [============================>.] - ETA: 7s - loss: 63.4902 - logits_profile_predictions_loss: 63.0597 - logcount_predictions_loss: 0.4304 676/685 [============================>.] - ETA: 6s - loss: 63.4910 - logits_profile_predictions_loss: 63.0608 - logcount_predictions_loss: 0.4302 677/685 [============================>.] - ETA: 5s - loss: 63.4974 - logits_profile_predictions_loss: 63.0674 - logcount_predictions_loss: 0.4300 678/685 [============================>.] - ETA: 5s - loss: 63.4831 - logits_profile_predictions_loss: 63.0531 - logcount_predictions_loss: 0.4300 679/685 [============================>.] - ETA: 4s - loss: 63.4648 - logits_profile_predictions_loss: 63.0349 - logcount_predictions_loss: 0.4298 680/685 [============================>.] - ETA: 3s - loss: 63.4576 - logits_profile_predictions_loss: 63.0279 - logcount_predictions_loss: 0.4297 681/685 [============================>.] - ETA: 2s - loss: 63.4616 - logits_profile_predictions_loss: 63.0318 - logcount_predictions_loss: 0.4298 682/685 [============================>.] - ETA: 2s - loss: 63.4387 - logits_profile_predictions_loss: 63.0091 - logcount_predictions_loss: 0.4296 683/685 [============================>.] - ETA: 1s - loss: 63.4466 - logits_profile_predictions_loss: 63.0171 - logcount_predictions_loss: 0.4295 684/685 [============================>.] - ETA: 0s - loss: 63.4615 - logits_profile_predictions_loss: 63.0321 - logcount_predictions_loss: 0.4294 685/685 [==============================] - ETA: 0s - loss: 63.4686 - logits_profile_predictions_loss: 63.0394 - logcount_predictions_loss: 0.4292 Epoch 8: val_loss did not improve from 68.85507  685/685 [==============================] - 534s 780ms/step - loss: 63.4686 - logits_profile_predictions_loss: 63.0394 - logcount_predictions_loss: 0.4292 - val_loss: 69.4849 - val_logits_profile_predictions_loss: 69.0941 - val_logcount_predictions_loss: 0.3908 Epoch 9/50 1/685 [..............................] - ETA: 8:15 - loss: 79.1289 - logits_profile_predictions_loss: 78.6604 - logcount_predictions_loss: 0.4685 2/685 [..............................] - ETA: 8:11 - loss: 71.4460 - logits_profile_predictions_loss: 71.0360 - logcount_predictions_loss: 0.4100 3/685 [..............................] - ETA: 8:11 - loss: 72.1725 - logits_profile_predictions_loss: 71.7955 - logcount_predictions_loss: 0.3770 4/685 [..............................] - ETA: 8:10 - loss: 68.7395 - logits_profile_predictions_loss: 68.3926 - logcount_predictions_loss: 0.3469 5/685 [..............................] - ETA: 8:10 - loss: 65.1822 - logits_profile_predictions_loss: 64.8418 - logcount_predictions_loss: 0.3405 6/685 [..............................] - ETA: 8:10 - loss: 62.9913 - logits_profile_predictions_loss: 62.6433 - logcount_predictions_loss: 0.3480 7/685 [..............................] - ETA: 8:14 - loss: 63.3512 - logits_profile_predictions_loss: 62.9936 - logcount_predictions_loss: 0.3576 8/685 [..............................] - ETA: 8:15 - loss: 63.3277 - logits_profile_predictions_loss: 62.9631 - logcount_predictions_loss: 0.3645 9/685 [..............................] - ETA: 8:13 - loss: 62.9093 - logits_profile_predictions_loss: 62.5493 - logcount_predictions_loss: 0.3600 10/685 [..............................] - ETA: 8:13 - loss: 62.1281 - logits_profile_predictions_loss: 61.7615 - logcount_predictions_loss: 0.3666 11/685 [..............................] - ETA: 8:12 - loss: 62.6067 - logits_profile_predictions_loss: 62.2312 - logcount_predictions_loss: 0.3755 12/685 [..............................] - ETA: 8:11 - loss: 62.4591 - logits_profile_predictions_loss: 62.0810 - logcount_predictions_loss: 0.3781 13/685 [..............................] - ETA: 8:10 - loss: 63.1619 - logits_profile_predictions_loss: 62.7804 - logcount_predictions_loss: 0.3814 14/685 [..............................] - ETA: 8:10 - loss: 63.7184 - logits_profile_predictions_loss: 63.3375 - logcount_predictions_loss: 0.3809 15/685 [..............................] - ETA: 8:10 - loss: 63.8691 - logits_profile_predictions_loss: 63.4845 - logcount_predictions_loss: 0.3847 16/685 [..............................] - ETA: 8:09 - loss: 63.6678 - logits_profile_predictions_loss: 63.2857 - logcount_predictions_loss: 0.3821 17/685 [..............................] - ETA: 8:08 - loss: 63.5385 - logits_profile_predictions_loss: 63.1614 - logcount_predictions_loss: 0.3771 18/685 [..............................] - ETA: 8:07 - loss: 64.3536 - logits_profile_predictions_loss: 63.9791 - logcount_predictions_loss: 0.3745 19/685 [..............................] - ETA: 8:06 - loss: 63.5498 - logits_profile_predictions_loss: 63.1733 - logcount_predictions_loss: 0.3764 20/685 [..............................] - ETA: 8:05 - loss: 62.5443 - logits_profile_predictions_loss: 62.1712 - logcount_predictions_loss: 0.3730 21/685 [..............................] - ETA: 8:05 - loss: 62.6766 - logits_profile_predictions_loss: 62.3034 - logcount_predictions_loss: 0.3733 22/685 [..............................] - ETA: 8:06 - loss: 62.4919 - logits_profile_predictions_loss: 62.1204 - logcount_predictions_loss: 0.3714 23/685 [>.............................] - ETA: 8:05 - loss: 62.5680 - logits_profile_predictions_loss: 62.1969 - logcount_predictions_loss: 0.3711 24/685 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- ETA: 45s - loss: 62.6448 - logits_profile_predictions_loss: 62.2305 - logcount_predictions_loss: 0.4144 626/685 [==========================>...] - ETA: 44s - loss: 62.6362 - logits_profile_predictions_loss: 62.2221 - logcount_predictions_loss: 0.4142 627/685 [==========================>...] - ETA: 43s - loss: 62.6410 - logits_profile_predictions_loss: 62.2271 - logcount_predictions_loss: 0.4139 628/685 [==========================>...] - ETA: 42s - loss: 62.6470 - logits_profile_predictions_loss: 62.2334 - logcount_predictions_loss: 0.4137 629/685 [==========================>...] - ETA: 42s - loss: 62.6185 - logits_profile_predictions_loss: 62.2049 - logcount_predictions_loss: 0.4136 630/685 [==========================>...] - ETA: 41s - loss: 62.6094 - logits_profile_predictions_loss: 62.1958 - logcount_predictions_loss: 0.4137 631/685 [==========================>...] - ETA: 40s - loss: 62.5930 - logits_profile_predictions_loss: 62.1795 - logcount_predictions_loss: 0.4136 632/685 [==========================>...] - ETA: 39s - loss: 62.6112 - logits_profile_predictions_loss: 62.1978 - logcount_predictions_loss: 0.4135 633/685 [==========================>...] - ETA: 39s - loss: 62.6185 - logits_profile_predictions_loss: 62.2048 - logcount_predictions_loss: 0.4137 634/685 [==========================>...] - ETA: 38s - loss: 62.6244 - logits_profile_predictions_loss: 62.2108 - logcount_predictions_loss: 0.4137 635/685 [==========================>...] - ETA: 37s - loss: 62.6367 - logits_profile_predictions_loss: 62.2232 - logcount_predictions_loss: 0.4135 636/685 [==========================>...] - ETA: 36s - loss: 62.6442 - logits_profile_predictions_loss: 62.2309 - logcount_predictions_loss: 0.4134 637/685 [==========================>...] - ETA: 36s - loss: 62.6530 - logits_profile_predictions_loss: 62.2393 - logcount_predictions_loss: 0.4138 638/685 [==========================>...] - ETA: 35s - loss: 62.6439 - logits_profile_predictions_loss: 62.2301 - logcount_predictions_loss: 0.4138 639/685 [==========================>...] - ETA: 34s - loss: 62.6642 - logits_profile_predictions_loss: 62.2505 - logcount_predictions_loss: 0.4138 640/685 [===========================>..] - ETA: 33s - loss: 62.6578 - logits_profile_predictions_loss: 62.2441 - logcount_predictions_loss: 0.4137 641/685 [===========================>..] - ETA: 33s - loss: 62.6812 - logits_profile_predictions_loss: 62.2676 - logcount_predictions_loss: 0.4137 642/685 [===========================>..] - ETA: 32s - loss: 62.6702 - logits_profile_predictions_loss: 62.2566 - logcount_predictions_loss: 0.4136 643/685 [===========================>..] - ETA: 31s - loss: 62.6679 - logits_profile_predictions_loss: 62.2543 - logcount_predictions_loss: 0.4136 644/685 [===========================>..] - ETA: 30s - loss: 62.6488 - logits_profile_predictions_loss: 62.2352 - logcount_predictions_loss: 0.4136 645/685 [===========================>..] - ETA: 30s - loss: 62.6324 - logits_profile_predictions_loss: 62.2189 - logcount_predictions_loss: 0.4135 646/685 [===========================>..] - ETA: 29s - loss: 62.6373 - logits_profile_predictions_loss: 62.2236 - logcount_predictions_loss: 0.4138 647/685 [===========================>..] - ETA: 28s - loss: 62.6552 - logits_profile_predictions_loss: 62.2413 - logcount_predictions_loss: 0.4139 648/685 [===========================>..] - ETA: 27s - loss: 62.6402 - logits_profile_predictions_loss: 62.2265 - logcount_predictions_loss: 0.4137 649/685 [===========================>..] - ETA: 27s - loss: 62.6475 - logits_profile_predictions_loss: 62.2339 - logcount_predictions_loss: 0.4137 650/685 [===========================>..] - ETA: 26s - loss: 62.6296 - logits_profile_predictions_loss: 62.2158 - logcount_predictions_loss: 0.4138 651/685 [===========================>..] - ETA: 25s - loss: 62.6210 - logits_profile_predictions_loss: 62.2073 - logcount_predictions_loss: 0.4138 652/685 [===========================>..] - ETA: 24s - loss: 62.6160 - logits_profile_predictions_loss: 62.2023 - logcount_predictions_loss: 0.4138 653/685 [===========================>..] - ETA: 24s - loss: 62.6352 - logits_profile_predictions_loss: 62.2214 - logcount_predictions_loss: 0.4139 654/685 [===========================>..] - ETA: 23s - loss: 62.6369 - logits_profile_predictions_loss: 62.2228 - logcount_predictions_loss: 0.4142 655/685 [===========================>..] - ETA: 22s - loss: 62.6343 - logits_profile_predictions_loss: 62.2204 - logcount_predictions_loss: 0.4140 656/685 [===========================>..] - ETA: 21s - loss: 62.6400 - logits_profile_predictions_loss: 62.2259 - logcount_predictions_loss: 0.4141 657/685 [===========================>..] - ETA: 21s - loss: 62.6354 - logits_profile_predictions_loss: 62.2211 - logcount_predictions_loss: 0.4143 658/685 [===========================>..] - ETA: 20s - loss: 62.6242 - logits_profile_predictions_loss: 62.2098 - logcount_predictions_loss: 0.4145 659/685 [===========================>..] - ETA: 19s - loss: 62.6277 - logits_profile_predictions_loss: 62.2132 - logcount_predictions_loss: 0.4146 660/685 [===========================>..] - ETA: 18s - loss: 62.6293 - logits_profile_predictions_loss: 62.2147 - logcount_predictions_loss: 0.4146 661/685 [===========================>..] - ETA: 18s - loss: 62.6429 - logits_profile_predictions_loss: 62.2283 - logcount_predictions_loss: 0.4147 662/685 [===========================>..] - ETA: 17s - loss: 62.6390 - logits_profile_predictions_loss: 62.2244 - logcount_predictions_loss: 0.4146 663/685 [============================>.] - ETA: 16s - loss: 62.6421 - logits_profile_predictions_loss: 62.2277 - logcount_predictions_loss: 0.4145 664/685 [============================>.] - ETA: 15s - loss: 62.6625 - logits_profile_predictions_loss: 62.2480 - logcount_predictions_loss: 0.4146 665/685 [============================>.] - ETA: 15s - loss: 62.6794 - logits_profile_predictions_loss: 62.2647 - logcount_predictions_loss: 0.4147 666/685 [============================>.] - ETA: 14s - loss: 62.6756 - logits_profile_predictions_loss: 62.2609 - logcount_predictions_loss: 0.4147 667/685 [============================>.] - ETA: 13s - loss: 62.6742 - logits_profile_predictions_loss: 62.2597 - logcount_predictions_loss: 0.4146 668/685 [============================>.] - ETA: 12s - loss: 62.6799 - logits_profile_predictions_loss: 62.2653 - logcount_predictions_loss: 0.4146 669/685 [============================>.] - ETA: 12s - loss: 62.6830 - logits_profile_predictions_loss: 62.2686 - logcount_predictions_loss: 0.4145 670/685 [============================>.] - ETA: 11s - loss: 62.6852 - logits_profile_predictions_loss: 62.2708 - logcount_predictions_loss: 0.4144 671/685 [============================>.] - ETA: 10s - loss: 62.6833 - logits_profile_predictions_loss: 62.2691 - logcount_predictions_loss: 0.4143 672/685 [============================>.] - ETA: 9s - loss: 62.6800 - logits_profile_predictions_loss: 62.2657 - logcount_predictions_loss: 0.4143  673/685 [============================>.] - ETA: 9s - loss: 62.6828 - logits_profile_predictions_loss: 62.2686 - logcount_predictions_loss: 0.4143 674/685 [============================>.] - ETA: 8s - loss: 62.6801 - logits_profile_predictions_loss: 62.2658 - logcount_predictions_loss: 0.4144 675/685 [============================>.] - ETA: 7s - loss: 62.7013 - logits_profile_predictions_loss: 62.2867 - logcount_predictions_loss: 0.4146 676/685 [============================>.] - ETA: 6s - loss: 62.7230 - logits_profile_predictions_loss: 62.3083 - logcount_predictions_loss: 0.4148 677/685 [============================>.] - ETA: 6s - loss: 62.7368 - logits_profile_predictions_loss: 62.3222 - logcount_predictions_loss: 0.4147 678/685 [============================>.] - ETA: 5s - loss: 62.7429 - logits_profile_predictions_loss: 62.3283 - logcount_predictions_loss: 0.4146 679/685 [============================>.] - ETA: 4s - loss: 62.7314 - logits_profile_predictions_loss: 62.3167 - logcount_predictions_loss: 0.4147 680/685 [============================>.] - ETA: 3s - loss: 62.7277 - logits_profile_predictions_loss: 62.3128 - logcount_predictions_loss: 0.4150 681/685 [============================>.] - ETA: 3s - loss: 62.7142 - logits_profile_predictions_loss: 62.2994 - logcount_predictions_loss: 0.4149 682/685 [============================>.] - ETA: 2s - loss: 62.7149 - logits_profile_predictions_loss: 62.2998 - logcount_predictions_loss: 0.4151 683/685 [============================>.] - ETA: 1s - loss: 62.6999 - logits_profile_predictions_loss: 62.2846 - logcount_predictions_loss: 0.4153 684/685 [============================>.] - ETA: 0s - loss: 62.6934 - logits_profile_predictions_loss: 62.2780 - logcount_predictions_loss: 0.4154 685/685 [==============================] - ETA: 0s - loss: 62.6934 - logits_profile_predictions_loss: 62.2779 - logcount_predictions_loss: 0.4155 Epoch 9: val_loss did not improve from 68.85507 Restoring model weights from the end of the best epoch: 4.  685/685 [==============================] - 535s 780ms/step - loss: 62.6934 - logits_profile_predictions_loss: 62.2779 - logcount_predictions_loss: 0.4155 - val_loss: 70.0485 - val_logits_profile_predictions_loss: 69.6368 - val_logcount_predictions_loss: 0.4117 Epoch 9: early stopping save model save model without bias got the model loading peaks... got split:test for bed regions:(10890, 10) 0/171 100/171 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 1/171 [..............................] - ETA: 49s 2/171 [..............................] - ETA: 37s 3/171 [..............................] - ETA: 37s 4/171 [..............................] - ETA: 37s 5/171 [..............................] - ETA: 37s 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[==============================] - 40s 237ms/step Saving marginal footprints 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 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 11500 examples of 30000 Done 11600 examples of 30000 Done 11700 examples of 30000 Done 11800 examples of 30000 Done 11900 examples of 30000 Done 12000 examples of 30000 Done 12100 examples of 30000 Done 12200 examples of 30000 Done 12300 examples of 30000 Done 12400 examples of 30000 Done 12500 examples of 30000 Done 12600 examples of 30000 Done 12700 examples of 30000 Done 12800 examples of 30000 Done 12900 examples of 30000 Done 13000 examples of 30000 Done 13100 examples of 30000 Done 13200 examples of 30000 Done 13300 examples of 30000 Done 13400 examples of 30000 Done 13500 examples of 30000 Done 13600 examples of 30000 Done 13700 examples of 30000 Done 13800 examples of 30000 Done 13900 examples of 30000 Done 14000 examples of 30000 Done 14100 examples of 30000 Done 14200 examples of 30000 Done 14300 examples of 30000 Done 14400 examples of 30000 Done 14500 examples of 30000 Done 14600 examples of 30000 Done 14700 examples of 30000 Done 14800 examples of 30000 Done 14900 examples 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 18400 examples of 30000 Done 18500 examples of 30000 Done 18600 examples of 30000 Done 18700 examples of 30000 Done 18800 examples of 30000 Done 18900 examples of 30000 Done 19000 examples of 30000 Done 19100 examples of 30000 Done 19200 examples of 30000 Done 19300 examples of 30000 Done 19400 examples of 30000 Done 19500 examples of 30000 Done 19600 examples of 30000 Done 19700 examples of 30000 Done 19800 examples of 30000 Done 19900 examples of 30000 Done 20000 examples of 30000 Done 20100 examples of 30000 Done 20200 examples of 30000 Done 20300 examples of 30000 Done 20400 examples of 30000 Done 20500 examples of 30000 Done 20600 examples of 30000 Done 20700 examples of 30000 Done 20800 examples of 30000 Done 20900 examples of 30000 Done 21000 examples of 30000 Done 21100 examples of 30000 Done 21200 examples of 30000 Done 21300 examples of 30000 Done 21400 examples of 30000 Done 21500 examples of 30000 Done 21600 examples of 30000 Done 21700 examples of 30000 Done 21800 examples 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