Live Found logdir. Deleting previous model Estimating enzyme shift in input file Current estimated shift: +4/-4 awk -v OFS="\t" '{if ($6=="+"){print $1,$2+0,$3,$4,$5,$6} else if ($6=="-") {print $1,$2,$3+0,$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: 269198 evaluating hyperparameters on the following chromosomes ['chr1', 'chr2', 'chr3', 'chr4', 'chr5', 'chr6', 'chr8', 'chr9', 'chr11', 'chr12', 'chr14', 'chr15', 'chr16', 'chr20', 'chr22', 'chrY', 'chr10', 'chr18'] Number of peaks input: 40442 Number of peaks filtered because the input/output is on the edge: 0 Number of peaks being used: 40442 Number of peaks input: 10684 Number of peaks filtered because the input/output is on the edge: 0 Number of peaks being used: 10684 Number of non peaks input: 80884 Number of non peaks filtered because the input/output is on the edge: 0 Number of non peaks being used: 80884 Number of non peaks input: 10684 Number of non peaks filtered because the input/output is on the edge: 0 Number of non peaks being used: 10684 Number of peaks after removing outliers: 40437 Number of nonpeaks after removing outliers: 50315 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 1/1573 [..............................] - ETA: 54:34 14/1573 [..............................] - ETA: 6s  27/1573 [..............................] - ETA: 6s 40/1573 [..............................] - ETA: 6s 53/1573 [>.............................] - ETA: 6s 66/1573 [>.............................] - ETA: 6s 79/1573 [>.............................] - ETA: 6s 91/1573 [>.............................] - ETA: 6s 104/1573 [>.............................] - ETA: 6s 117/1573 [=>............................] - ETA: 5s 130/1573 [=>............................] - ETA: 5s 143/1573 [=>............................] - ETA: 5s 155/1573 [=>............................] - ETA: 5s 168/1573 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1382/1573 [=========================>....] - ETA: 0s 1395/1573 [=========================>....] - ETA: 0s 1407/1573 [=========================>....] - ETA: 0s 1420/1573 [==========================>...] - ETA: 0s 1433/1573 [==========================>...] - ETA: 0s 1446/1573 [==========================>...] - ETA: 0s 1459/1573 [==========================>...] - ETA: 0s 1471/1573 [===========================>..] - ETA: 0s 1484/1573 [===========================>..] - ETA: 0s 1496/1573 [===========================>..] - ETA: 0s 1509/1573 [===========================>..] - ETA: 0s 1522/1573 [============================>.] - ETA: 0s 1534/1573 [============================>.] - ETA: 0s 1547/1573 [============================>.] - ETA: 0s 1560/1573 [============================>.] - ETA: 0s 1573/1573 [==============================] - ETA: 0s 1573/1573 [==============================] - 9s 4ms/step got the model loading peaks... got split:test for bed regions:(10684, 10) 0/167 100/167 Bias model pearsonr performance in peaks is: -0.17 {'counts_loss_weight': '2.9', 'filters': '512', 'n_dil_layers': '8', 'bias_model_path': '/oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.endocardial.NI/fold_4/models/bias_model_scaled.h5', 'inputlen': '2114', 'outputlen': '1000', 'max_jitter': '500', 'chr_fold_path': '/oak/stanford/groups/akundaje/soumyak/refs/hg38/splits/fold_4.json', 'negative_sampling_ratio': '0.1'} got the model loading peaks... got split:train for bed regions:(36996, 10) loading nonpeaks... got split:train for bed regions:(37011, 10) loading peaks... got split:valid for bed regions:(3441, 10) loading nonpeaks... got split:valid for bed regions:(3426, 10) Epoch 1/50 1/636 [..............................] - ETA: 45:25 - loss: 133.2707 - logits_profile_predictions_loss: 123.9035 - logcount_predictions_loss: 3.2301 2/636 [..............................] - ETA: 1:25 - loss: 9686.3242 - logits_profile_predictions_loss: 115.6852 - logcount_predictions_loss: 3300.2200 3/636 [..............................] - ETA: 1:25 - loss: 6502.8184 - logits_profile_predictions_loss: 115.1516 - logcount_predictions_loss: 2202.6433 4/636 [..............................] - ETA: 1:25 - loss: 4910.3008 - logits_profile_predictions_loss: 116.9297 - logcount_predictions_loss: 1652.8864 5/636 [..............................] - ETA: 1:24 - loss: 3950.1829 - logits_profile_predictions_loss: 113.6300 - logcount_predictions_loss: 1322.9491 6/636 [..............................] - ETA: 1:24 - loss: 3311.2930 - logits_profile_predictions_loss: 112.4583 - logcount_predictions_loss: 1103.0464 7/636 [..............................] - ETA: 1:24 - loss: 2858.9421 - logits_profile_predictions_loss: 115.1794 - logcount_predictions_loss: 946.1250  8/636 [..............................] - ETA: 1:24 - loss: 2515.7874 - logits_profile_predictions_loss: 113.7326 - logcount_predictions_loss: 828.2946 9/636 [..............................] - ETA: 1:24 - loss: 2250.6975 - logits_profile_predictions_loss: 114.2513 - logcount_predictions_loss: 736.7054 10/636 [..............................] - ETA: 1:24 - loss: 2037.3160 - logits_profile_predictions_loss: 113.4507 - logcount_predictions_loss: 663.4017 11/636 [..............................] - ETA: 1:24 - loss: 1864.2594 - logits_profile_predictions_loss: 114.1464 - logcount_predictions_loss: 603.4871 12/636 [..............................] - ETA: 1:23 - loss: 1720.5093 - logits_profile_predictions_loss: 115.1758 - logcount_predictions_loss: 553.5632 13/636 [..............................] - ETA: 1:23 - loss: 1598.3947 - logits_profile_predictions_loss: 115.5983 - logcount_predictions_loss: 511.3090 14/636 [..............................] - ETA: 1:23 - loss: 1494.5663 - logits_profile_predictions_loss: 116.7307 - logcount_predictions_loss: 475.1156 15/636 [..............................] - ETA: 1:23 - loss: 1402.9685 - logits_profile_predictions_loss: 116.2837 - logcount_predictions_loss: 443.6843 16/636 [..............................] - ETA: 1:23 - loss: 1323.8873 - logits_profile_predictions_loss: 116.8369 - logcount_predictions_loss: 416.2242 17/636 [..............................] - ETA: 1:23 - loss: 1251.9933 - logits_profile_predictions_loss: 115.4267 - logcount_predictions_loss: 391.9194 18/636 [..............................] - ETA: 1:23 - loss: 1189.6034 - logits_profile_predictions_loss: 115.5726 - logcount_predictions_loss: 370.3553 19/636 [..............................] - ETA: 1:22 - loss: 1133.2672 - logits_profile_predictions_loss: 115.2373 - logcount_predictions_loss: 351.0447 20/636 [..............................] - ETA: 1:22 - loss: 1081.9751 - logits_profile_predictions_loss: 114.4219 - logcount_predictions_loss: 333.6389 21/636 [..............................] - ETA: 1:22 - loss: 1037.5818 - logits_profile_predictions_loss: 115.5333 - logcount_predictions_loss: 317.9476 22/636 [>.............................] - ETA: 1:22 - loss: 995.4748 - logits_profile_predictions_loss: 114.9890 - logcount_predictions_loss: 303.6157  23/636 [>.............................] - ETA: 1:22 - loss: 958.3385 - logits_profile_predictions_loss: 115.7128 - logcount_predictions_loss: 290.5605 24/636 [>.............................] - ETA: 1:22 - loss: 923.3115 - logits_profile_predictions_loss: 115.5258 - logcount_predictions_loss: 278.5467 25/636 [>.............................] - ETA: 1:22 - loss: 891.1437 - logits_profile_predictions_loss: 115.4933 - logcount_predictions_loss: 267.4656 26/636 [>.............................] - ETA: 1:22 - loss: 861.0114 - logits_profile_predictions_loss: 115.0842 - logcount_predictions_loss: 257.2162 27/636 [>.............................] - ETA: 1:21 - loss: 833.0668 - logits_profile_predictions_loss: 114.6321 - logcount_predictions_loss: 247.7360 28/636 [>.............................] - ETA: 1:21 - loss: 808.6123 - logits_profile_predictions_loss: 115.7328 - logcount_predictions_loss: 238.9239 29/636 [>.............................] - ETA: 1:21 - loss: 784.3796 - logits_profile_predictions_loss: 115.1965 - logcount_predictions_loss: 230.7527 30/636 [>.............................] - ETA: 1:21 - loss: 762.1077 - logits_profile_predictions_loss: 115.1322 - logcount_predictions_loss: 223.0950 31/636 [>.............................] - ETA: 1:21 - loss: 741.7022 - logits_profile_predictions_loss: 115.4541 - logcount_predictions_loss: 215.9476 32/636 [>.............................] - ETA: 1:21 - loss: 722.3264 - logits_profile_predictions_loss: 115.5515 - logcount_predictions_loss: 209.2327 33/636 [>.............................] - ETA: 1:21 - loss: 704.2576 - logits_profile_predictions_loss: 115.7553 - logcount_predictions_loss: 202.9318 34/636 [>.............................] - ETA: 1:20 - loss: 686.8644 - logits_profile_predictions_loss: 115.5637 - logcount_predictions_loss: 197.0002 35/636 [>.............................] - ETA: 1:20 - loss: 670.3926 - logits_profile_predictions_loss: 115.3196 - logcount_predictions_loss: 191.4044 36/636 [>.............................] - ETA: 1:20 - loss: 655.4163 - logits_profile_predictions_loss: 115.6614 - logcount_predictions_loss: 186.1223 37/636 [>.............................] - ETA: 1:20 - loss: 641.1719 - logits_profile_predictions_loss: 115.8986 - logcount_predictions_loss: 181.1287 38/636 [>.............................] - ETA: 1:20 - loss: 627.2211 - logits_profile_predictions_loss: 115.7008 - logcount_predictions_loss: 176.3862 39/636 [>.............................] - ETA: 1:20 - loss: 613.7917 - logits_profile_predictions_loss: 115.3256 - logcount_predictions_loss: 171.8848 40/636 [>.............................] - ETA: 1:20 - loss: 601.4056 - logits_profile_predictions_loss: 115.3049 - logcount_predictions_loss: 167.6209 41/636 [>.............................] - ETA: 1:19 - loss: 589.8105 - logits_profile_predictions_loss: 115.5036 - logcount_predictions_loss: 163.5541 42/636 [>.............................] - ETA: 1:19 - loss: 578.5239 - logits_profile_predictions_loss: 115.4536 - logcount_predictions_loss: 159.6794 43/636 [=>............................] - ETA: 1:19 - loss: 567.8093 - logits_profile_predictions_loss: 115.4387 - logcount_predictions_loss: 155.9898 44/636 [=>............................] - ETA: 1:19 - loss: 557.6370 - logits_profile_predictions_loss: 115.4704 - logcount_predictions_loss: 152.4711 45/636 [=>............................] - ETA: 1:19 - loss: 547.8499 - logits_profile_predictions_loss: 115.4538 - logcount_predictions_loss: 149.1021 46/636 [=>............................] - ETA: 1:19 - loss: 538.7456 - logits_profile_predictions_loss: 115.6741 - logcount_predictions_loss: 145.8867 47/636 [=>............................] - ETA: 1:19 - loss: 529.7443 - logits_profile_predictions_loss: 115.6083 - logcount_predictions_loss: 142.8055 48/636 [=>............................] - ETA: 1:19 - loss: 521.2863 - logits_profile_predictions_loss: 115.7126 - logcount_predictions_loss: 139.8530 49/636 [=>............................] - ETA: 1:18 - loss: 513.1988 - logits_profile_predictions_loss: 115.8425 - logcount_predictions_loss: 137.0193 50/636 [=>............................] - ETA: 1:18 - loss: 505.4770 - logits_profile_predictions_loss: 116.0241 - logcount_predictions_loss: 134.2940 51/636 [=>............................] - ETA: 1:18 - loss: 498.0692 - logits_profile_predictions_loss: 116.1837 - logcount_predictions_loss: 131.6846 52/636 [=>............................] - ETA: 1:18 - loss: 490.5869 - logits_profile_predictions_loss: 115.9900 - logcount_predictions_loss: 129.1713 53/636 [=>............................] - ETA: 1:18 - loss: 483.5284 - logits_profile_predictions_loss: 115.9536 - logcount_predictions_loss: 126.7498 54/636 [=>............................] - ETA: 1:18 - loss: 476.7072 - logits_profile_predictions_loss: 115.8903 - logcount_predictions_loss: 124.4196 55/636 [=>............................] - ETA: 1:18 - loss: 470.1275 - logits_profile_predictions_loss: 115.8205 - logcount_predictions_loss: 122.1748 56/636 [=>............................] - ETA: 1:17 - loss: 464.0131 - logits_profile_predictions_loss: 115.9795 - logcount_predictions_loss: 120.0115 57/636 [=>............................] - ETA: 1:17 - loss: 458.0441 - logits_profile_predictions_loss: 116.0620 - logcount_predictions_loss: 117.9248 58/636 [=>............................] - ETA: 1:17 - loss: 452.0865 - logits_profile_predictions_loss: 115.9581 - logcount_predictions_loss: 115.9063 59/636 [=>............................] - ETA: 1:17 - loss: 446.4450 - logits_profile_predictions_loss: 115.9706 - logcount_predictions_loss: 113.9567 60/636 [=>............................] - ETA: 1:17 - loss: 440.9584 - logits_profile_predictions_loss: 115.9512 - logcount_predictions_loss: 112.0714 61/636 [=>............................] - ETA: 1:17 - loss: 435.6174 - logits_profile_predictions_loss: 115.8870 - logcount_predictions_loss: 110.2518 62/636 [=>............................] - ETA: 1:17 - loss: 430.3944 - logits_profile_predictions_loss: 115.7850 - logcount_predictions_loss: 108.4860 63/636 [=>............................] - ETA: 1:17 - loss: 425.5141 - logits_profile_predictions_loss: 115.8582 - logcount_predictions_loss: 106.7779 64/636 [==>...........................] - ETA: 1:16 - loss: 420.5357 - logits_profile_predictions_loss: 115.6733 - logcount_predictions_loss: 105.1249 65/636 [==>...........................] - ETA: 1:16 - loss: 415.7107 - logits_profile_predictions_loss: 115.4904 - logcount_predictions_loss: 103.5242 66/636 [==>...........................] - ETA: 1:16 - loss: 411.3339 - logits_profile_predictions_loss: 115.6151 - logcount_predictions_loss: 101.9720 67/636 [==>...........................] - ETA: 1:16 - loss: 407.0186 - logits_profile_predictions_loss: 115.6717 - logcount_predictions_loss: 100.4644 68/636 [==>...........................] - ETA: 1:16 - loss: 402.6555 - logits_profile_predictions_loss: 115.5587 - logcount_predictions_loss: 98.9988  69/636 [==>...........................] - ETA: 1:16 - loss: 398.2923 - logits_profile_predictions_loss: 115.3123 - logcount_predictions_loss: 97.5793 70/636 [==>...........................] - ETA: 1:16 - loss: 394.3756 - logits_profile_predictions_loss: 115.4045 - logcount_predictions_loss: 96.1969 71/636 [==>...........................] - ETA: 1:15 - loss: 390.3445 - logits_profile_predictions_loss: 115.2675 - logcount_predictions_loss: 94.8541 72/636 [==>...........................] - ETA: 1:15 - loss: 386.2966 - logits_profile_predictions_loss: 114.9964 - logcount_predictions_loss: 93.5518 73/636 [==>...........................] - ETA: 1:15 - loss: 382.7540 - logits_profile_predictions_loss: 115.1362 - logcount_predictions_loss: 92.2820 74/636 [==>...........................] - ETA: 1:15 - loss: 379.2554 - logits_profile_predictions_loss: 115.2222 - logcount_predictions_loss: 91.0459 75/636 [==>...........................] - ETA: 1:15 - loss: 376.0061 - logits_profile_predictions_loss: 115.4444 - logcount_predictions_loss: 89.8488 76/636 [==>...........................] - ETA: 1:15 - loss: 372.3966 - logits_profile_predictions_loss: 115.2205 - logcount_predictions_loss: 88.6814 77/636 [==>...........................] - ETA: 1:15 - loss: 369.1458 - logits_profile_predictions_loss: 115.2747 - logcount_predictions_loss: 87.5417 78/636 [==>...........................] - ETA: 1:15 - loss: 365.8515 - logits_profile_predictions_loss: 115.1985 - logcount_predictions_loss: 86.4320 79/636 [==>...........................] - ETA: 1:14 - loss: 362.7755 - logits_profile_predictions_loss: 115.2654 - logcount_predictions_loss: 85.3483 80/636 [==>...........................] - ETA: 1:14 - loss: 359.7233 - logits_profile_predictions_loss: 115.2748 - logcount_predictions_loss: 84.2926 81/636 [==>...........................] - ETA: 1:14 - loss: 356.8369 - logits_profile_predictions_loss: 115.3686 - logcount_predictions_loss: 83.2649 82/636 [==>...........................] - ETA: 1:14 - loss: 354.0331 - logits_profile_predictions_loss: 115.4759 - logcount_predictions_loss: 82.2611 83/636 [==>...........................] - ETA: 1:14 - loss: 351.3267 - logits_profile_predictions_loss: 115.6107 - logcount_predictions_loss: 81.2813 84/636 [==>...........................] - ETA: 1:14 - loss: 348.4015 - logits_profile_predictions_loss: 115.4624 - logcount_predictions_loss: 80.3238 85/636 [===>..........................] - ETA: 1:14 - loss: 345.6125 - logits_profile_predictions_loss: 115.3863 - logcount_predictions_loss: 79.3883 86/636 [===>..........................] - ETA: 1:13 - loss: 342.7294 - logits_profile_predictions_loss: 115.1350 - logcount_predictions_loss: 78.4808 87/636 [===>..........................] - ETA: 1:13 - 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125.1156 - logits_profile_predictions_loss: 123.6604 - logcount_predictions_loss: 0.5018 2/636 [..............................] - ETA: 1:25 - loss: 115.9508 - logits_profile_predictions_loss: 114.0194 - logcount_predictions_loss: 0.6660 3/636 [..............................] - ETA: 1:25 - loss: 111.6621 - logits_profile_predictions_loss: 109.8579 - logcount_predictions_loss: 0.6222 4/636 [..............................] - ETA: 1:25 - loss: 112.9591 - logits_profile_predictions_loss: 111.1389 - logcount_predictions_loss: 0.6277 5/636 [..............................] - ETA: 1:22 - loss: 109.5911 - logits_profile_predictions_loss: 107.7752 - logcount_predictions_loss: 0.6262 6/636 [..............................] - ETA: 1:22 - loss: 109.3380 - logits_profile_predictions_loss: 107.5087 - logcount_predictions_loss: 0.6308 7/636 [..............................] - ETA: 1:22 - loss: 107.5297 - logits_profile_predictions_loss: 105.7136 - logcount_predictions_loss: 0.6263 8/636 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[==>...........................] - ETA: 1:16 - loss: 110.7610 - logits_profile_predictions_loss: 108.9717 - logcount_predictions_loss: 0.6170 69/636 [==>...........................] - ETA: 1:16 - loss: 110.8456 - logits_profile_predictions_loss: 109.0537 - logcount_predictions_loss: 0.6179 70/636 [==>...........................] - ETA: 1:16 - loss: 110.7388 - logits_profile_predictions_loss: 108.9484 - logcount_predictions_loss: 0.6174 71/636 [==>...........................] - ETA: 1:15 - loss: 110.7736 - logits_profile_predictions_loss: 108.9939 - logcount_predictions_loss: 0.6137 72/636 [==>...........................] - ETA: 1:15 - loss: 110.8247 - logits_profile_predictions_loss: 109.0376 - logcount_predictions_loss: 0.6162 73/636 [==>...........................] - ETA: 1:15 - loss: 110.9675 - logits_profile_predictions_loss: 109.1731 - logcount_predictions_loss: 0.6187 74/636 [==>...........................] - ETA: 1:15 - loss: 111.2209 - logits_profile_predictions_loss: 109.4341 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[===>..........................] - ETA: 1:13 - loss: 111.5309 - logits_profile_predictions_loss: 109.7978 - logcount_predictions_loss: 0.5976 89/636 [===>..........................] - ETA: 1:13 - loss: 111.3544 - logits_profile_predictions_loss: 109.6259 - logcount_predictions_loss: 0.5960 90/636 [===>..........................] - ETA: 1:13 - loss: 111.3875 - logits_profile_predictions_loss: 109.6619 - logcount_predictions_loss: 0.5950 91/636 [===>..........................] - ETA: 1:13 - loss: 111.5954 - logits_profile_predictions_loss: 109.8690 - logcount_predictions_loss: 0.5953 92/636 [===>..........................] - ETA: 1:13 - loss: 111.7018 - logits_profile_predictions_loss: 109.9807 - logcount_predictions_loss: 0.5935 93/636 [===>..........................] - ETA: 1:12 - loss: 111.7023 - logits_profile_predictions_loss: 109.9822 - logcount_predictions_loss: 0.5931 94/636 [===>..........................] - ETA: 1:12 - loss: 111.7624 - logits_profile_predictions_loss: 110.0423 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logcount_predictions_loss: 0.5499 634/636 [============================>.] - ETA: 0s - loss: 109.9693 - logits_profile_predictions_loss: 108.3742 - logcount_predictions_loss: 0.5501 635/636 [============================>.] - ETA: 0s - loss: 109.9590 - logits_profile_predictions_loss: 108.3637 - logcount_predictions_loss: 0.5501 636/636 [==============================] - ETA: 0s - loss: 109.9416 - logits_profile_predictions_loss: 108.3464 - logcount_predictions_loss: 0.5501 Epoch 4: val_loss improved from 114.76289 to 113.48976, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.endocardial.NI/fold_4/models/chrombpnet.h5  636/636 [==============================] - 93s 146ms/step - loss: 109.9416 - logits_profile_predictions_loss: 108.3464 - logcount_predictions_loss: 0.5501 - val_loss: 113.4898 - val_logits_profile_predictions_loss: 111.9930 - val_logcount_predictions_loss: 0.5161 Epoch 5/50 1/636 [..............................] - ETA: 1:44 - loss: 102.8724 - logits_profile_predictions_loss: 101.2525 - logcount_predictions_loss: 0.5586 2/636 [..............................] - ETA: 1:28 - loss: 103.9363 - logits_profile_predictions_loss: 102.3373 - logcount_predictions_loss: 0.5514 3/636 [..............................] - ETA: 1:28 - loss: 113.1695 - logits_profile_predictions_loss: 111.4369 - logcount_predictions_loss: 0.5974 4/636 [..............................] - ETA: 1:27 - loss: 109.9135 - logits_profile_predictions_loss: 108.3246 - logcount_predictions_loss: 0.5479 5/636 [..............................] - ETA: 1:27 - loss: 107.4974 - logits_profile_predictions_loss: 105.7736 - logcount_predictions_loss: 0.5944 6/636 [..............................] - ETA: 1:27 - loss: 108.9564 - logits_profile_predictions_loss: 107.2570 - logcount_predictions_loss: 0.5860 7/636 [..............................] - ETA: 1:27 - loss: 108.1872 - logits_profile_predictions_loss: 106.5278 - logcount_predictions_loss: 0.5722 8/636 [..............................] - ETA: 1:27 - loss: 107.6598 - logits_profile_predictions_loss: 106.0407 - logcount_predictions_loss: 0.5583 9/636 [..............................] - ETA: 1:27 - loss: 108.3713 - logits_profile_predictions_loss: 106.7663 - logcount_predictions_loss: 0.5535 10/636 [..............................] - ETA: 1:27 - loss: 110.4570 - logits_profile_predictions_loss: 108.8929 - logcount_predictions_loss: 0.5394 11/636 [..............................] - ETA: 1:27 - loss: 111.0829 - logits_profile_predictions_loss: 109.4864 - logcount_predictions_loss: 0.5505 12/636 [..............................] - ETA: 1:28 - loss: 110.3938 - logits_profile_predictions_loss: 108.7303 - logcount_predictions_loss: 0.5736 13/636 [..............................] - ETA: 1:27 - loss: 109.3852 - logits_profile_predictions_loss: 107.7467 - logcount_predictions_loss: 0.5650 14/636 [..............................] - ETA: 1:27 - loss: 109.3083 - 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[..............................] - ETA: 1:26 - loss: 109.9862 - logits_profile_predictions_loss: 108.2088 - logcount_predictions_loss: 0.6129 22/636 [>.............................] - ETA: 1:25 - loss: 109.9842 - logits_profile_predictions_loss: 108.2032 - logcount_predictions_loss: 0.6141 23/636 [>.............................] - ETA: 1:25 - loss: 109.4315 - logits_profile_predictions_loss: 107.6449 - logcount_predictions_loss: 0.6161 24/636 [>.............................] - ETA: 1:25 - loss: 109.1359 - logits_profile_predictions_loss: 107.3721 - logcount_predictions_loss: 0.6082 25/636 [>.............................] - ETA: 1:25 - loss: 108.8260 - logits_profile_predictions_loss: 107.0689 - logcount_predictions_loss: 0.6059 26/636 [>.............................] - ETA: 1:25 - loss: 109.1443 - logits_profile_predictions_loss: 107.4045 - logcount_predictions_loss: 0.5999 27/636 [>.............................] - ETA: 1:25 - loss: 109.2685 - logits_profile_predictions_loss: 107.5514 - logcount_predictions_loss: 0.5921 28/636 [>.............................] - ETA: 1:25 - loss: 109.3227 - logits_profile_predictions_loss: 107.6208 - logcount_predictions_loss: 0.5868 29/636 [>.............................] - ETA: 1:24 - loss: 109.7096 - logits_profile_predictions_loss: 108.0139 - logcount_predictions_loss: 0.5848 30/636 [>.............................] - ETA: 1:24 - loss: 109.9194 - logits_profile_predictions_loss: 108.2230 - logcount_predictions_loss: 0.5850 31/636 [>.............................] - ETA: 1:24 - loss: 109.8003 - logits_profile_predictions_loss: 108.1199 - logcount_predictions_loss: 0.5794 32/636 [>.............................] - ETA: 1:24 - loss: 110.0976 - logits_profile_predictions_loss: 108.4189 - logcount_predictions_loss: 0.5789 33/636 [>.............................] - ETA: 1:24 - loss: 109.7379 - logits_profile_predictions_loss: 108.0678 - logcount_predictions_loss: 0.5759 34/636 [>.............................] - ETA: 1:24 - loss: 110.1828 - 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[>.............................] - ETA: 1:22 - loss: 109.7571 - logits_profile_predictions_loss: 108.1471 - logcount_predictions_loss: 0.5552 42/636 [>.............................] - ETA: 1:22 - loss: 109.9892 - logits_profile_predictions_loss: 108.3768 - logcount_predictions_loss: 0.5560 43/636 [=>............................] - ETA: 1:22 - loss: 110.3292 - logits_profile_predictions_loss: 108.7115 - logcount_predictions_loss: 0.5578 44/636 [=>............................] - ETA: 1:22 - loss: 110.4158 - logits_profile_predictions_loss: 108.7844 - logcount_predictions_loss: 0.5626 45/636 [=>............................] - ETA: 1:22 - loss: 110.5035 - logits_profile_predictions_loss: 108.8749 - logcount_predictions_loss: 0.5616 46/636 [=>............................] - ETA: 1:22 - loss: 110.7974 - logits_profile_predictions_loss: 109.1815 - logcount_predictions_loss: 0.5572 47/636 [=>............................] - ETA: 1:22 - loss: 110.7294 - logits_profile_predictions_loss: 109.1104 - logcount_predictions_loss: 0.5583 48/636 [=>............................] - ETA: 1:21 - loss: 110.7704 - logits_profile_predictions_loss: 109.1433 - logcount_predictions_loss: 0.5611 49/636 [=>............................] - ETA: 1:21 - loss: 110.6910 - logits_profile_predictions_loss: 109.0665 - logcount_predictions_loss: 0.5602 50/636 [=>............................] - ETA: 1:21 - loss: 110.4925 - logits_profile_predictions_loss: 108.8694 - logcount_predictions_loss: 0.5597 51/636 [=>............................] - ETA: 1:21 - loss: 110.1556 - logits_profile_predictions_loss: 108.5481 - logcount_predictions_loss: 0.5543 52/636 [=>............................] - ETA: 1:21 - loss: 110.2255 - logits_profile_predictions_loss: 108.6103 - logcount_predictions_loss: 0.5570 53/636 [=>............................] - ETA: 1:21 - loss: 110.5700 - logits_profile_predictions_loss: 108.9643 - logcount_predictions_loss: 0.5537 54/636 [=>............................] - ETA: 1:20 - loss: 110.5303 - logits_profile_predictions_loss: 108.9194 - logcount_predictions_loss: 0.5555 55/636 [=>............................] - ETA: 1:20 - loss: 110.0264 - logits_profile_predictions_loss: 108.4221 - logcount_predictions_loss: 0.5532 56/636 [=>............................] - ETA: 1:20 - loss: 110.2286 - logits_profile_predictions_loss: 108.6331 - logcount_predictions_loss: 0.5502 57/636 [=>............................] - ETA: 1:20 - loss: 110.1645 - logits_profile_predictions_loss: 108.5667 - logcount_predictions_loss: 0.5510 58/636 [=>............................] - ETA: 1:20 - loss: 110.1017 - logits_profile_predictions_loss: 108.4911 - logcount_predictions_loss: 0.5554 59/636 [=>............................] - ETA: 1:20 - loss: 110.0153 - logits_profile_predictions_loss: 108.4066 - logcount_predictions_loss: 0.5547 60/636 [=>............................] - ETA: 1:20 - loss: 110.0826 - logits_profile_predictions_loss: 108.4707 - logcount_predictions_loss: 0.5558 61/636 [=>............................] - ETA: 1:19 - loss: 110.0679 - logits_profile_predictions_loss: 108.4594 - logcount_predictions_loss: 0.5547 62/636 [=>............................] - ETA: 1:19 - loss: 109.8766 - logits_profile_predictions_loss: 108.2670 - logcount_predictions_loss: 0.5550 63/636 [=>............................] - ETA: 1:19 - loss: 109.7024 - logits_profile_predictions_loss: 108.1004 - logcount_predictions_loss: 0.5524 64/636 [==>...........................] - ETA: 1:19 - loss: 109.8505 - logits_profile_predictions_loss: 108.2441 - logcount_predictions_loss: 0.5539 65/636 [==>...........................] - ETA: 1:19 - loss: 109.5618 - logits_profile_predictions_loss: 107.9563 - logcount_predictions_loss: 0.5536 66/636 [==>...........................] - ETA: 1:19 - loss: 109.6253 - logits_profile_predictions_loss: 108.0285 - logcount_predictions_loss: 0.5506 67/636 [==>...........................] - ETA: 1:19 - loss: 109.8620 - logits_profile_predictions_loss: 108.2684 - logcount_predictions_loss: 0.5495 68/636 [==>...........................] - ETA: 1:18 - loss: 109.8533 - logits_profile_predictions_loss: 108.2507 - logcount_predictions_loss: 0.5526 69/636 [==>...........................] - ETA: 1:18 - loss: 109.9252 - logits_profile_predictions_loss: 108.3202 - logcount_predictions_loss: 0.5535 70/636 [==>...........................] - ETA: 1:18 - loss: 110.0947 - logits_profile_predictions_loss: 108.4843 - logcount_predictions_loss: 0.5553 71/636 [==>...........................] - ETA: 1:18 - loss: 110.0475 - logits_profile_predictions_loss: 108.4422 - logcount_predictions_loss: 0.5536 72/636 [==>...........................] - ETA: 1:18 - loss: 110.1811 - logits_profile_predictions_loss: 108.5792 - logcount_predictions_loss: 0.5524 73/636 [==>...........................] - ETA: 1:18 - loss: 110.1962 - logits_profile_predictions_loss: 108.5988 - logcount_predictions_loss: 0.5508 74/636 [==>...........................] - ETA: 1:18 - loss: 109.8887 - logits_profile_predictions_loss: 108.2906 - logcount_predictions_loss: 0.5511 75/636 [==>...........................] - ETA: 1:17 - loss: 109.7477 - logits_profile_predictions_loss: 108.1511 - logcount_predictions_loss: 0.5506 76/636 [==>...........................] - ETA: 1:17 - loss: 109.8159 - logits_profile_predictions_loss: 108.2235 - logcount_predictions_loss: 0.5491 77/636 [==>...........................] - ETA: 1:17 - loss: 109.7430 - logits_profile_predictions_loss: 108.1503 - logcount_predictions_loss: 0.5492 78/636 [==>...........................] - ETA: 1:17 - loss: 109.7461 - logits_profile_predictions_loss: 108.1569 - logcount_predictions_loss: 0.5480 79/636 [==>...........................] - ETA: 1:17 - loss: 109.6539 - logits_profile_predictions_loss: 108.0709 - logcount_predictions_loss: 0.5459 80/636 [==>...........................] - ETA: 1:17 - loss: 109.3851 - logits_profile_predictions_loss: 107.8038 - logcount_predictions_loss: 0.5453 81/636 [==>...........................] - ETA: 1:16 - loss: 109.4532 - logits_profile_predictions_loss: 107.8727 - logcount_predictions_loss: 0.5450 82/636 [==>...........................] - ETA: 1:16 - loss: 109.3593 - logits_profile_predictions_loss: 107.7808 - logcount_predictions_loss: 0.5443 83/636 [==>...........................] - ETA: 1:16 - loss: 109.2329 - logits_profile_predictions_loss: 107.6532 - logcount_predictions_loss: 0.5447 84/636 [==>...........................] - ETA: 1:16 - loss: 109.3019 - logits_profile_predictions_loss: 107.7255 - logcount_predictions_loss: 0.5436 85/636 [===>..........................] - ETA: 1:16 - loss: 109.1971 - logits_profile_predictions_loss: 107.6231 - logcount_predictions_loss: 0.5428 86/636 [===>..........................] - ETA: 1:16 - loss: 109.2063 - logits_profile_predictions_loss: 107.6257 - logcount_predictions_loss: 0.5450 87/636 [===>..........................] - ETA: 1:16 - loss: 109.1155 - logits_profile_predictions_loss: 107.5438 - logcount_predictions_loss: 0.5420 88/636 [===>..........................] - ETA: 1:16 - loss: 109.0381 - logits_profile_predictions_loss: 107.4691 - logcount_predictions_loss: 0.5411 89/636 [===>..........................] - ETA: 1:15 - loss: 109.1654 - logits_profile_predictions_loss: 107.5945 - logcount_predictions_loss: 0.5417 90/636 [===>..........................] - ETA: 1:15 - loss: 109.0662 - logits_profile_predictions_loss: 107.4936 - logcount_predictions_loss: 0.5423 91/636 [===>..........................] - ETA: 1:15 - loss: 109.1884 - logits_profile_predictions_loss: 107.6168 - logcount_predictions_loss: 0.5419 92/636 [===>..........................] - ETA: 1:15 - loss: 109.1088 - logits_profile_predictions_loss: 107.5390 - logcount_predictions_loss: 0.5413 93/636 [===>..........................] - ETA: 1:15 - loss: 109.0780 - logits_profile_predictions_loss: 107.5101 - logcount_predictions_loss: 0.5407 94/636 [===>..........................] - ETA: 1:15 - loss: 109.1209 - logits_profile_predictions_loss: 107.5599 - logcount_predictions_loss: 0.5383 95/636 [===>..........................] - ETA: 1:15 - loss: 109.0714 - logits_profile_predictions_loss: 107.5108 - logcount_predictions_loss: 0.5381 96/636 [===>..........................] - ETA: 1:14 - loss: 109.2396 - logits_profile_predictions_loss: 107.6845 - logcount_predictions_loss: 0.5363 97/636 [===>..........................] - ETA: 1:14 - loss: 109.0558 - logits_profile_predictions_loss: 107.4948 - logcount_predictions_loss: 0.5383 98/636 [===>..........................] - ETA: 1:14 - loss: 109.0384 - logits_profile_predictions_loss: 107.4798 - logcount_predictions_loss: 0.5374 99/636 [===>..........................] - ETA: 1:14 - loss: 109.0507 - logits_profile_predictions_loss: 107.4976 - logcount_predictions_loss: 0.5356 100/636 [===>..........................] - ETA: 1:14 - loss: 108.9826 - logits_profile_predictions_loss: 107.4332 - logcount_predictions_loss: 0.5343 101/636 [===>..........................] - ETA: 1:14 - loss: 108.9840 - logits_profile_predictions_loss: 107.4353 - logcount_predictions_loss: 0.5340 102/636 [===>..........................] - ETA: 1:14 - loss: 108.9188 - logits_profile_predictions_loss: 107.3703 - logcount_predictions_loss: 0.5339 103/636 [===>..........................] - ETA: 1:13 - loss: 108.8545 - logits_profile_predictions_loss: 107.3094 - logcount_predictions_loss: 0.5328 104/636 [===>..........................] - ETA: 1:13 - loss: 108.8323 - logits_profile_predictions_loss: 107.2888 - logcount_predictions_loss: 0.5323 105/636 [===>..........................] - ETA: 1:13 - loss: 108.7579 - logits_profile_predictions_loss: 107.2100 - logcount_predictions_loss: 0.5338 106/636 [====>.........................] - ETA: 1:13 - loss: 108.6573 - logits_profile_predictions_loss: 107.1131 - logcount_predictions_loss: 0.5325 107/636 [====>.........................] - ETA: 1:13 - loss: 108.5142 - logits_profile_predictions_loss: 106.9640 - logcount_predictions_loss: 0.5345 108/636 [====>.........................] - ETA: 1:13 - loss: 108.6963 - logits_profile_predictions_loss: 107.1445 - logcount_predictions_loss: 0.5351 109/636 [====>.........................] - ETA: 1:13 - loss: 108.8203 - logits_profile_predictions_loss: 107.2669 - logcount_predictions_loss: 0.5357 110/636 [====>.........................] - ETA: 1:12 - loss: 108.7819 - logits_profile_predictions_loss: 107.2254 - logcount_predictions_loss: 0.5367 111/636 [====>.........................] - ETA: 1:12 - loss: 108.6599 - logits_profile_predictions_loss: 107.1054 - logcount_predictions_loss: 0.5361 112/636 [====>.........................] - ETA: 1:12 - loss: 108.6067 - logits_profile_predictions_loss: 107.0556 - logcount_predictions_loss: 0.5349 113/636 [====>.........................] - ETA: 1:12 - loss: 108.5038 - logits_profile_predictions_loss: 106.9514 - logcount_predictions_loss: 0.5353 114/636 [====>.........................] - ETA: 1:12 - loss: 108.5646 - logits_profile_predictions_loss: 107.0099 - logcount_predictions_loss: 0.5361 115/636 [====>.........................] - ETA: 1:12 - loss: 108.5841 - logits_profile_predictions_loss: 107.0326 - logcount_predictions_loss: 0.5350 116/636 [====>.........................] - ETA: 1:12 - loss: 108.4980 - logits_profile_predictions_loss: 106.9485 - logcount_predictions_loss: 0.5343 117/636 [====>.........................] - ETA: 1:11 - loss: 108.5573 - logits_profile_predictions_loss: 107.0093 - logcount_predictions_loss: 0.5338 118/636 [====>.........................] - ETA: 1:11 - loss: 108.6423 - logits_profile_predictions_loss: 107.0969 - logcount_predictions_loss: 0.5329 119/636 [====>.........................] - ETA: 1:11 - loss: 108.6495 - logits_profile_predictions_loss: 107.1074 - logcount_predictions_loss: 0.5317 120/636 [====>.........................] - ETA: 1:11 - loss: 108.6402 - logits_profile_predictions_loss: 107.1014 - logcount_predictions_loss: 0.5306 121/636 [====>.........................] - ETA: 1:11 - loss: 108.7131 - logits_profile_predictions_loss: 107.1751 - logcount_predictions_loss: 0.5303 122/636 [====>.........................] - ETA: 1:11 - loss: 108.7277 - logits_profile_predictions_loss: 107.1907 - logcount_predictions_loss: 0.5300 123/636 [====>.........................] - ETA: 1:11 - loss: 108.6972 - logits_profile_predictions_loss: 107.1614 - logcount_predictions_loss: 0.5296 124/636 [====>.........................] - ETA: 1:10 - loss: 108.7362 - logits_profile_predictions_loss: 107.2012 - logcount_predictions_loss: 0.5293 125/636 [====>.........................] - ETA: 1:10 - loss: 108.7330 - logits_profile_predictions_loss: 107.1982 - logcount_predictions_loss: 0.5292 126/636 [====>.........................] - ETA: 1:10 - loss: 108.7502 - logits_profile_predictions_loss: 107.2148 - logcount_predictions_loss: 0.5294 127/636 [====>.........................] - ETA: 1:10 - loss: 108.6627 - 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[============================>.] - ETA: 2s - loss: 108.7312 - logits_profile_predictions_loss: 107.2409 - logcount_predictions_loss: 0.5139 621/636 [============================>.] - ETA: 2s - loss: 108.7317 - logits_profile_predictions_loss: 107.2414 - logcount_predictions_loss: 0.5139 622/636 [============================>.] - ETA: 1s - loss: 108.7156 - logits_profile_predictions_loss: 107.2258 - logcount_predictions_loss: 0.5138 623/636 [============================>.] - ETA: 1s - loss: 108.7097 - logits_profile_predictions_loss: 107.2202 - logcount_predictions_loss: 0.5136 624/636 [============================>.] - ETA: 1s - loss: 108.6862 - logits_profile_predictions_loss: 107.1973 - logcount_predictions_loss: 0.5134 625/636 [============================>.] - ETA: 1s - loss: 108.6890 - logits_profile_predictions_loss: 107.2008 - logcount_predictions_loss: 0.5132 626/636 [============================>.] - ETA: 1s - loss: 108.7117 - logits_profile_predictions_loss: 107.2236 - 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[..............................] - ETA: 1:26 - loss: 108.3855 - logits_profile_predictions_loss: 106.6923 - logcount_predictions_loss: 0.5839 15/636 [..............................] - ETA: 1:26 - loss: 108.3642 - logits_profile_predictions_loss: 106.7026 - logcount_predictions_loss: 0.5730 16/636 [..............................] - ETA: 1:26 - loss: 109.0726 - logits_profile_predictions_loss: 107.4457 - logcount_predictions_loss: 0.5610 17/636 [..............................] - ETA: 1:26 - loss: 108.6471 - logits_profile_predictions_loss: 107.0393 - logcount_predictions_loss: 0.5544 18/636 [..............................] - ETA: 1:26 - loss: 108.1917 - logits_profile_predictions_loss: 106.5765 - logcount_predictions_loss: 0.5570 19/636 [..............................] - ETA: 1:25 - loss: 108.5741 - logits_profile_predictions_loss: 106.9836 - logcount_predictions_loss: 0.5484 20/636 [..............................] - ETA: 1:25 - loss: 107.8131 - logits_profile_predictions_loss: 106.2483 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[>.............................] - ETA: 1:23 - loss: 107.5370 - logits_profile_predictions_loss: 106.0555 - logcount_predictions_loss: 0.5109 35/636 [>.............................] - ETA: 1:23 - loss: 107.6689 - logits_profile_predictions_loss: 106.1884 - logcount_predictions_loss: 0.5105 36/636 [>.............................] - ETA: 1:23 - loss: 107.5502 - logits_profile_predictions_loss: 106.0626 - logcount_predictions_loss: 0.5129 37/636 [>.............................] - ETA: 1:23 - loss: 107.9456 - logits_profile_predictions_loss: 106.4505 - logcount_predictions_loss: 0.5156 38/636 [>.............................] - ETA: 1:22 - loss: 108.5077 - logits_profile_predictions_loss: 107.0195 - logcount_predictions_loss: 0.5132 39/636 [>.............................] - ETA: 1:22 - loss: 108.9598 - logits_profile_predictions_loss: 107.4776 - logcount_predictions_loss: 0.5111 40/636 [>.............................] - ETA: 1:22 - loss: 108.8930 - logits_profile_predictions_loss: 107.4137 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[=>............................] - ETA: 1:20 - loss: 109.1499 - logits_profile_predictions_loss: 107.6981 - logcount_predictions_loss: 0.5006 55/636 [=>............................] - ETA: 1:20 - loss: 109.2036 - logits_profile_predictions_loss: 107.7534 - logcount_predictions_loss: 0.5001 56/636 [=>............................] - ETA: 1:19 - loss: 109.0472 - logits_profile_predictions_loss: 107.5939 - logcount_predictions_loss: 0.5011 57/636 [=>............................] - ETA: 1:19 - loss: 109.3615 - logits_profile_predictions_loss: 107.9010 - logcount_predictions_loss: 0.5036 58/636 [=>............................] - ETA: 1:19 - loss: 109.5734 - logits_profile_predictions_loss: 108.1112 - logcount_predictions_loss: 0.5042 59/636 [=>............................] - ETA: 1:19 - loss: 109.3503 - logits_profile_predictions_loss: 107.8991 - logcount_predictions_loss: 0.5004 60/636 [=>............................] - ETA: 1:19 - loss: 109.3182 - logits_profile_predictions_loss: 107.8660 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[=========================>....] - ETA: 10s - loss: 108.1424 - logits_profile_predictions_loss: 106.6729 - logcount_predictions_loss: 0.5067 561/636 [=========================>....] - ETA: 10s - loss: 108.1285 - logits_profile_predictions_loss: 106.6590 - logcount_predictions_loss: 0.5067 562/636 [=========================>....] - ETA: 10s - loss: 108.1471 - logits_profile_predictions_loss: 106.6779 - logcount_predictions_loss: 0.5066 563/636 [=========================>....] - ETA: 9s - loss: 108.1429 - logits_profile_predictions_loss: 106.6743 - logcount_predictions_loss: 0.5064  564/636 [=========================>....] - ETA: 9s - loss: 108.1480 - logits_profile_predictions_loss: 106.6793 - logcount_predictions_loss: 0.5064 565/636 [=========================>....] - ETA: 9s - loss: 108.1457 - logits_profile_predictions_loss: 106.6765 - logcount_predictions_loss: 0.5066 566/636 [=========================>....] - ETA: 9s - loss: 108.1391 - logits_profile_predictions_loss: 106.6703 - 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[==========================>...] - ETA: 7s - loss: 108.1551 - logits_profile_predictions_loss: 106.6848 - logcount_predictions_loss: 0.5070 581/636 [==========================>...] - ETA: 7s - loss: 108.1598 - logits_profile_predictions_loss: 106.6902 - logcount_predictions_loss: 0.5068 582/636 [==========================>...] - ETA: 7s - loss: 108.1640 - logits_profile_predictions_loss: 106.6948 - logcount_predictions_loss: 0.5066 583/636 [==========================>...] - ETA: 7s - loss: 108.1575 - logits_profile_predictions_loss: 106.6887 - logcount_predictions_loss: 0.5065 584/636 [==========================>...] - ETA: 7s - loss: 108.1561 - logits_profile_predictions_loss: 106.6866 - logcount_predictions_loss: 0.5067 585/636 [==========================>...] - ETA: 6s - loss: 108.1764 - logits_profile_predictions_loss: 106.7078 - logcount_predictions_loss: 0.5064 586/636 [==========================>...] - ETA: 6s - loss: 108.1897 - logits_profile_predictions_loss: 106.7217 - 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[============================>.] - ETA: 2s - loss: 108.2880 - logits_profile_predictions_loss: 106.8200 - logcount_predictions_loss: 0.5062 621/636 [============================>.] - ETA: 2s - loss: 108.2761 - logits_profile_predictions_loss: 106.8081 - logcount_predictions_loss: 0.5062 622/636 [============================>.] - ETA: 1s - loss: 108.2542 - logits_profile_predictions_loss: 106.7859 - logcount_predictions_loss: 0.5063 623/636 [============================>.] - ETA: 1s - loss: 108.2491 - logits_profile_predictions_loss: 106.7811 - logcount_predictions_loss: 0.5062 624/636 [============================>.] - ETA: 1s - loss: 108.2405 - logits_profile_predictions_loss: 106.7729 - logcount_predictions_loss: 0.5061 625/636 [============================>.] - ETA: 1s - loss: 108.2511 - logits_profile_predictions_loss: 106.7835 - logcount_predictions_loss: 0.5061 626/636 [============================>.] - ETA: 1s - loss: 108.2696 - logits_profile_predictions_loss: 106.8025 - 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logits_profile_predictions_loss: 106.8026 - logcount_predictions_loss: 0.5053 634/636 [============================>.] - ETA: 0s - loss: 108.2722 - logits_profile_predictions_loss: 106.8064 - logcount_predictions_loss: 0.5055 635/636 [============================>.] - ETA: 0s - loss: 108.2868 - logits_profile_predictions_loss: 106.8200 - logcount_predictions_loss: 0.5058 636/636 [==============================] - ETA: 0s - loss: 108.3009 - logits_profile_predictions_loss: 106.8346 - logcount_predictions_loss: 0.5057 Epoch 6: val_loss did not improve from 112.93493  636/636 [==============================] - 91s 143ms/step - loss: 108.3009 - logits_profile_predictions_loss: 106.8346 - logcount_predictions_loss: 0.5057 - val_loss: 113.0896 - val_logits_profile_predictions_loss: 111.5692 - val_logcount_predictions_loss: 0.5243 Epoch 7/50 1/636 [..............................] - ETA: 1:35 - loss: 89.6447 - logits_profile_predictions_loss: 88.6150 - logcount_predictions_loss: 0.3551 2/636 [..............................] - ETA: 1:25 - loss: 101.8374 - logits_profile_predictions_loss: 100.2655 - logcount_predictions_loss: 0.5420 3/636 [..............................] - ETA: 1:25 - loss: 109.4744 - logits_profile_predictions_loss: 107.8280 - logcount_predictions_loss: 0.5677 4/636 [..............................] - ETA: 1:26 - loss: 103.4440 - logits_profile_predictions_loss: 101.7182 - logcount_predictions_loss: 0.5951 5/636 [..............................] - ETA: 1:25 - loss: 106.2361 - logits_profile_predictions_loss: 104.6541 - logcount_predictions_loss: 0.5455 6/636 [..............................] - ETA: 1:25 - loss: 105.6143 - logits_profile_predictions_loss: 103.9917 - logcount_predictions_loss: 0.5595 7/636 [..............................] - ETA: 1:25 - loss: 105.9458 - logits_profile_predictions_loss: 104.3801 - logcount_predictions_loss: 0.5399 8/636 [..............................] - ETA: 1:25 - loss: 104.6033 - logits_profile_predictions_loss: 103.0701 - 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[>.............................] - ETA: 1:23 - loss: 110.6543 - logits_profile_predictions_loss: 109.2379 - logcount_predictions_loss: 0.4884 23/636 [>.............................] - ETA: 1:23 - loss: 110.1400 - logits_profile_predictions_loss: 108.7221 - logcount_predictions_loss: 0.4889 24/636 [>.............................] - ETA: 1:23 - loss: 109.8870 - logits_profile_predictions_loss: 108.4522 - logcount_predictions_loss: 0.4947 25/636 [>.............................] - ETA: 1:23 - loss: 109.9582 - logits_profile_predictions_loss: 108.5101 - logcount_predictions_loss: 0.4993 26/636 [>.............................] - ETA: 1:22 - loss: 109.6721 - logits_profile_predictions_loss: 108.2191 - logcount_predictions_loss: 0.5010 27/636 [>.............................] - ETA: 1:22 - loss: 108.8521 - logits_profile_predictions_loss: 107.3782 - logcount_predictions_loss: 0.5082 28/636 [>.............................] - ETA: 1:22 - loss: 108.8786 - logits_profile_predictions_loss: 107.4115 - logcount_predictions_loss: 0.5059 29/636 [>.............................] - ETA: 1:22 - loss: 109.0738 - logits_profile_predictions_loss: 107.6026 - logcount_predictions_loss: 0.5073 30/636 [>.............................] - ETA: 1:22 - loss: 109.1162 - logits_profile_predictions_loss: 107.6662 - logcount_predictions_loss: 0.5000 31/636 [>.............................] - ETA: 1:22 - loss: 109.9398 - logits_profile_predictions_loss: 108.5032 - logcount_predictions_loss: 0.4954 32/636 [>.............................] - ETA: 1:22 - loss: 109.7648 - logits_profile_predictions_loss: 108.3442 - logcount_predictions_loss: 0.4899 33/636 [>.............................] - ETA: 1:21 - loss: 109.0702 - logits_profile_predictions_loss: 107.6388 - logcount_predictions_loss: 0.4936 34/636 [>.............................] - ETA: 1:21 - loss: 108.7456 - logits_profile_predictions_loss: 107.3204 - logcount_predictions_loss: 0.4914 35/636 [>.............................] - ETA: 1:21 - loss: 108.9293 - 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[=>............................] - ETA: 1:18 - loss: 108.6800 - logits_profile_predictions_loss: 107.2661 - logcount_predictions_loss: 0.4876 63/636 [=>............................] - ETA: 1:18 - loss: 108.8012 - logits_profile_predictions_loss: 107.3888 - logcount_predictions_loss: 0.4870 64/636 [==>...........................] - ETA: 1:17 - loss: 108.7466 - logits_profile_predictions_loss: 107.3413 - logcount_predictions_loss: 0.4846 65/636 [==>...........................] - ETA: 1:17 - loss: 108.6445 - logits_profile_predictions_loss: 107.2354 - logcount_predictions_loss: 0.4859 66/636 [==>...........................] - ETA: 1:17 - loss: 108.3681 - logits_profile_predictions_loss: 106.9607 - logcount_predictions_loss: 0.4853 67/636 [==>...........................] - ETA: 1:17 - loss: 108.5588 - logits_profile_predictions_loss: 107.1548 - logcount_predictions_loss: 0.4841 68/636 [==>...........................] - ETA: 1:17 - loss: 108.4893 - logits_profile_predictions_loss: 107.0825 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[==>...........................] - ETA: 1:15 - loss: 107.9781 - logits_profile_predictions_loss: 106.5720 - logcount_predictions_loss: 0.4849 83/636 [==>...........................] - ETA: 1:15 - loss: 108.1109 - logits_profile_predictions_loss: 106.7114 - logcount_predictions_loss: 0.4826 84/636 [==>...........................] - ETA: 1:15 - loss: 107.9305 - logits_profile_predictions_loss: 106.5190 - logcount_predictions_loss: 0.4867 85/636 [===>..........................] - ETA: 1:15 - loss: 107.8472 - logits_profile_predictions_loss: 106.4335 - logcount_predictions_loss: 0.4875 86/636 [===>..........................] - ETA: 1:14 - loss: 107.9937 - logits_profile_predictions_loss: 106.5787 - logcount_predictions_loss: 0.4879 87/636 [===>..........................] - ETA: 1:14 - loss: 108.0800 - logits_profile_predictions_loss: 106.6675 - logcount_predictions_loss: 0.4871 88/636 [===>..........................] - ETA: 1:14 - loss: 108.2467 - logits_profile_predictions_loss: 106.8389 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logits_profile_predictions_loss: 106.5736 - logcount_predictions_loss: 0.4992 96/636 [===>..........................] - ETA: 1:13 - loss: 107.9015 - logits_profile_predictions_loss: 106.4523 - logcount_predictions_loss: 0.4997 97/636 [===>..........................] - ETA: 1:13 - loss: 107.9370 - logits_profile_predictions_loss: 106.4855 - logcount_predictions_loss: 0.5005 98/636 [===>..........................] - ETA: 1:13 - loss: 107.9159 - logits_profile_predictions_loss: 106.4626 - logcount_predictions_loss: 0.5011 99/636 [===>..........................] - ETA: 1:13 - loss: 107.9102 - logits_profile_predictions_loss: 106.4511 - logcount_predictions_loss: 0.5031 100/636 [===>..........................] - ETA: 1:13 - loss: 107.9472 - logits_profile_predictions_loss: 106.4907 - logcount_predictions_loss: 0.5023 101/636 [===>..........................] - ETA: 1:12 - loss: 107.9282 - logits_profile_predictions_loss: 106.4758 - logcount_predictions_loss: 0.5008 102/636 [===>..........................] - ETA: 1:12 - loss: 107.8835 - logits_profile_predictions_loss: 106.4340 - logcount_predictions_loss: 0.4999 103/636 [===>..........................] - ETA: 1:12 - loss: 107.9371 - logits_profile_predictions_loss: 106.4897 - logcount_predictions_loss: 0.4991 104/636 [===>..........................] - ETA: 1:12 - loss: 108.0627 - logits_profile_predictions_loss: 106.6111 - logcount_predictions_loss: 0.5006 105/636 [===>..........................] - ETA: 1:12 - loss: 107.9870 - logits_profile_predictions_loss: 106.5377 - logcount_predictions_loss: 0.4998 106/636 [====>.........................] - ETA: 1:12 - loss: 108.0161 - logits_profile_predictions_loss: 106.5659 - logcount_predictions_loss: 0.5001 107/636 [====>.........................] - ETA: 1:12 - loss: 108.0914 - logits_profile_predictions_loss: 106.6388 - logcount_predictions_loss: 0.5009 108/636 [====>.........................] - ETA: 1:11 - loss: 108.0855 - logits_profile_predictions_loss: 106.6278 - logcount_predictions_loss: 0.5027 109/636 [====>.........................] - ETA: 1:11 - loss: 107.9464 - logits_profile_predictions_loss: 106.4902 - logcount_predictions_loss: 0.5021 110/636 [====>.........................] - ETA: 1:11 - loss: 108.0291 - logits_profile_predictions_loss: 106.5758 - logcount_predictions_loss: 0.5011 111/636 [====>.........................] - ETA: 1:11 - loss: 107.9592 - logits_profile_predictions_loss: 106.5046 - logcount_predictions_loss: 0.5016 112/636 [====>.........................] - ETA: 1:11 - loss: 108.0845 - logits_profile_predictions_loss: 106.6313 - logcount_predictions_loss: 0.5011 113/636 [====>.........................] - ETA: 1:11 - loss: 107.9896 - logits_profile_predictions_loss: 106.5397 - logcount_predictions_loss: 0.5000 114/636 [====>.........................] - ETA: 1:11 - loss: 107.9856 - logits_profile_predictions_loss: 106.5367 - logcount_predictions_loss: 0.4996 115/636 [====>.........................] - ETA: 1:10 - 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logits_profile_predictions_loss: 106.1283 - logcount_predictions_loss: 0.5002 615/636 [============================>.] - ETA: 2s - loss: 107.5858 - logits_profile_predictions_loss: 106.1358 - logcount_predictions_loss: 0.5000 616/636 [============================>.] - ETA: 2s - loss: 107.5981 - logits_profile_predictions_loss: 106.1463 - logcount_predictions_loss: 0.5006 617/636 [============================>.] - ETA: 2s - loss: 107.6224 - logits_profile_predictions_loss: 106.1713 - logcount_predictions_loss: 0.5004 618/636 [============================>.] - ETA: 2s - loss: 107.6120 - logits_profile_predictions_loss: 106.1616 - logcount_predictions_loss: 0.5001 619/636 [============================>.] - ETA: 2s - loss: 107.6373 - logits_profile_predictions_loss: 106.1868 - logcount_predictions_loss: 0.5002 620/636 [============================>.] - ETA: 2s - loss: 107.6475 - logits_profile_predictions_loss: 106.1965 - logcount_predictions_loss: 0.5003 621/636 [============================>.] - ETA: 2s - loss: 107.6237 - logits_profile_predictions_loss: 106.1719 - logcount_predictions_loss: 0.5006 622/636 [============================>.] - ETA: 1s - loss: 107.5888 - logits_profile_predictions_loss: 106.1364 - logcount_predictions_loss: 0.5008 623/636 [============================>.] - ETA: 1s - loss: 107.6138 - logits_profile_predictions_loss: 106.1607 - logcount_predictions_loss: 0.5011 624/636 [============================>.] - ETA: 1s - loss: 107.6195 - logits_profile_predictions_loss: 106.1665 - logcount_predictions_loss: 0.5010 625/636 [============================>.] - ETA: 1s - loss: 107.6127 - logits_profile_predictions_loss: 106.1596 - logcount_predictions_loss: 0.5010 626/636 [============================>.] - ETA: 1s - loss: 107.5925 - logits_profile_predictions_loss: 106.1389 - logcount_predictions_loss: 0.5012 627/636 [============================>.] - ETA: 1s - loss: 107.6115 - logits_profile_predictions_loss: 106.1588 - logcount_predictions_loss: 0.5009 628/636 [============================>.] - ETA: 1s - loss: 107.6279 - logits_profile_predictions_loss: 106.1756 - logcount_predictions_loss: 0.5008 629/636 [============================>.] - ETA: 0s - loss: 107.6323 - logits_profile_predictions_loss: 106.1801 - logcount_predictions_loss: 0.5008 630/636 [============================>.] - ETA: 0s - loss: 107.6248 - logits_profile_predictions_loss: 106.1717 - logcount_predictions_loss: 0.5011 631/636 [============================>.] - ETA: 0s - loss: 107.6285 - logits_profile_predictions_loss: 106.1759 - logcount_predictions_loss: 0.5009 632/636 [============================>.] - ETA: 0s - loss: 107.6469 - logits_profile_predictions_loss: 106.1938 - logcount_predictions_loss: 0.5011 633/636 [============================>.] - ETA: 0s - loss: 107.6267 - logits_profile_predictions_loss: 106.1737 - logcount_predictions_loss: 0.5010 634/636 [============================>.] - ETA: 0s - loss: 107.6467 - logits_profile_predictions_loss: 106.1938 - logcount_predictions_loss: 0.5010 635/636 [============================>.] - ETA: 0s - loss: 107.6357 - logits_profile_predictions_loss: 106.1830 - logcount_predictions_loss: 0.5009 636/636 [==============================] - ETA: 0s - loss: 107.6106 - logits_profile_predictions_loss: 106.1580 - logcount_predictions_loss: 0.5009 Epoch 7: val_loss did not improve from 112.93493  636/636 [==============================] - 91s 143ms/step - loss: 107.6106 - logits_profile_predictions_loss: 106.1580 - logcount_predictions_loss: 0.5009 - val_loss: 112.9899 - val_logits_profile_predictions_loss: 111.5108 - val_logcount_predictions_loss: 0.5100 Epoch 8/50 1/636 [..............................] - ETA: 1:37 - loss: 97.7806 - logits_profile_predictions_loss: 96.5213 - logcount_predictions_loss: 0.4343 2/636 [..............................] - ETA: 1:26 - loss: 109.0812 - logits_profile_predictions_loss: 107.6277 - logcount_predictions_loss: 0.5012 3/636 [..............................] - ETA: 1:20 - loss: 102.7621 - logits_profile_predictions_loss: 101.3296 - logcount_predictions_loss: 0.4939 4/636 [..............................] - ETA: 1:22 - loss: 101.4724 - logits_profile_predictions_loss: 100.1484 - logcount_predictions_loss: 0.4565 5/636 [..............................] - ETA: 1:23 - loss: 104.3983 - logits_profile_predictions_loss: 103.0942 - logcount_predictions_loss: 0.4497 6/636 [..............................] - ETA: 1:23 - loss: 105.2171 - logits_profile_predictions_loss: 103.9317 - logcount_predictions_loss: 0.4432 7/636 [..............................] - ETA: 1:23 - loss: 104.4774 - logits_profile_predictions_loss: 103.1703 - logcount_predictions_loss: 0.4507 8/636 [..............................] - ETA: 1:23 - loss: 103.5302 - logits_profile_predictions_loss: 102.2258 - logcount_predictions_loss: 0.4498 9/636 [..............................] - ETA: 1:23 - loss: 102.3877 - logits_profile_predictions_loss: 101.1052 - logcount_predictions_loss: 0.4422 10/636 [..............................] - ETA: 1:24 - loss: 103.3541 - logits_profile_predictions_loss: 102.0622 - logcount_predictions_loss: 0.4455 11/636 [..............................] - ETA: 1:24 - loss: 103.4010 - logits_profile_predictions_loss: 102.0991 - logcount_predictions_loss: 0.4489 12/636 [..............................] - ETA: 1:23 - loss: 103.3621 - logits_profile_predictions_loss: 102.0972 - logcount_predictions_loss: 0.4362 13/636 [..............................] - ETA: 1:23 - loss: 102.3757 - logits_profile_predictions_loss: 101.1025 - logcount_predictions_loss: 0.4390 14/636 [..............................] - ETA: 1:23 - loss: 102.6357 - logits_profile_predictions_loss: 101.3888 - logcount_predictions_loss: 0.4300 15/636 [..............................] - ETA: 1:23 - loss: 102.4959 - logits_profile_predictions_loss: 101.1851 - logcount_predictions_loss: 0.4520 16/636 [..............................] - ETA: 1:23 - loss: 102.5607 - logits_profile_predictions_loss: 101.2874 - logcount_predictions_loss: 0.4391 17/636 [..............................] - ETA: 1:23 - loss: 102.5607 - logits_profile_predictions_loss: 101.2796 - logcount_predictions_loss: 0.4417 18/636 [..............................] - ETA: 1:23 - loss: 102.5217 - logits_profile_predictions_loss: 101.2146 - logcount_predictions_loss: 0.4507 19/636 [..............................] - ETA: 1:23 - loss: 102.9369 - logits_profile_predictions_loss: 101.6059 - logcount_predictions_loss: 0.4590 20/636 [..............................] - ETA: 1:23 - loss: 103.0339 - logits_profile_predictions_loss: 101.6938 - logcount_predictions_loss: 0.4621 21/636 [..............................] - ETA: 1:23 - loss: 102.6123 - logits_profile_predictions_loss: 101.2727 - logcount_predictions_loss: 0.4619 22/636 [>.............................] - ETA: 1:23 - loss: 102.6217 - logits_profile_predictions_loss: 101.2842 - logcount_predictions_loss: 0.4612 23/636 [>.............................] - ETA: 1:22 - loss: 102.9300 - logits_profile_predictions_loss: 101.6172 - logcount_predictions_loss: 0.4527 24/636 [>.............................] - ETA: 1:22 - loss: 103.3782 - logits_profile_predictions_loss: 102.0663 - logcount_predictions_loss: 0.4524 25/636 [>.............................] - ETA: 1:22 - loss: 104.2341 - logits_profile_predictions_loss: 102.9189 - logcount_predictions_loss: 0.4535 26/636 [>.............................] - ETA: 1:22 - loss: 104.0183 - logits_profile_predictions_loss: 102.7061 - logcount_predictions_loss: 0.4525 27/636 [>.............................] - ETA: 1:22 - loss: 104.1589 - logits_profile_predictions_loss: 102.8374 - logcount_predictions_loss: 0.4557 28/636 [>.............................] - ETA: 1:22 - loss: 103.8928 - logits_profile_predictions_loss: 102.5556 - logcount_predictions_loss: 0.4611 29/636 [>.............................] - ETA: 1:22 - loss: 104.1630 - logits_profile_predictions_loss: 102.8256 - logcount_predictions_loss: 0.4612 30/636 [>.............................] - ETA: 1:22 - loss: 104.1424 - logits_profile_predictions_loss: 102.8090 - logcount_predictions_loss: 0.4598 31/636 [>.............................] - ETA: 1:22 - loss: 103.7014 - logits_profile_predictions_loss: 102.3554 - logcount_predictions_loss: 0.4641 32/636 [>.............................] - ETA: 1:21 - loss: 104.0152 - logits_profile_predictions_loss: 102.6622 - logcount_predictions_loss: 0.4665 33/636 [>.............................] - ETA: 1:21 - loss: 104.0822 - logits_profile_predictions_loss: 102.7129 - logcount_predictions_loss: 0.4722 34/636 [>.............................] - ETA: 1:21 - loss: 104.1675 - logits_profile_predictions_loss: 102.8009 - logcount_predictions_loss: 0.4712 35/636 [>.............................] - ETA: 1:21 - loss: 104.0638 - logits_profile_predictions_loss: 102.6879 - logcount_predictions_loss: 0.4744 36/636 [>.............................] - ETA: 1:21 - loss: 104.1774 - logits_profile_predictions_loss: 102.8117 - logcount_predictions_loss: 0.4709 37/636 [>.............................] - ETA: 1:21 - loss: 104.3204 - logits_profile_predictions_loss: 102.9522 - logcount_predictions_loss: 0.4718 38/636 [>.............................] - ETA: 1:21 - loss: 104.9604 - logits_profile_predictions_loss: 103.6062 - logcount_predictions_loss: 0.4670 39/636 [>.............................] - ETA: 1:21 - loss: 104.7275 - logits_profile_predictions_loss: 103.3651 - logcount_predictions_loss: 0.4698 40/636 [>.............................] - ETA: 1:20 - loss: 104.7531 - logits_profile_predictions_loss: 103.3931 - logcount_predictions_loss: 0.4690 41/636 [>.............................] - ETA: 1:20 - loss: 104.6847 - logits_profile_predictions_loss: 103.3149 - logcount_predictions_loss: 0.4723 42/636 [>.............................] - ETA: 1:20 - loss: 104.5744 - logits_profile_predictions_loss: 103.1931 - logcount_predictions_loss: 0.4763 43/636 [=>............................] - ETA: 1:20 - loss: 104.8488 - logits_profile_predictions_loss: 103.4690 - logcount_predictions_loss: 0.4758 44/636 [=>............................] - ETA: 1:20 - loss: 105.0342 - logits_profile_predictions_loss: 103.6633 - logcount_predictions_loss: 0.4727 45/636 [=>............................] - ETA: 1:20 - loss: 105.2962 - logits_profile_predictions_loss: 103.9128 - logcount_predictions_loss: 0.4771 46/636 [=>............................] - ETA: 1:20 - loss: 105.0888 - logits_profile_predictions_loss: 103.7092 - logcount_predictions_loss: 0.4757 47/636 [=>............................] - ETA: 1:20 - loss: 104.9662 - logits_profile_predictions_loss: 103.5863 - logcount_predictions_loss: 0.4758 48/636 [=>............................] - ETA: 1:20 - loss: 105.1488 - logits_profile_predictions_loss: 103.7565 - logcount_predictions_loss: 0.4801 49/636 [=>............................] - ETA: 1:19 - loss: 105.1071 - logits_profile_predictions_loss: 103.7059 - logcount_predictions_loss: 0.4832 50/636 [=>............................] - ETA: 1:19 - loss: 104.9558 - logits_profile_predictions_loss: 103.5453 - logcount_predictions_loss: 0.4864 51/636 [=>............................] - ETA: 1:19 - loss: 105.1162 - logits_profile_predictions_loss: 103.7086 - logcount_predictions_loss: 0.4854 52/636 [=>............................] - ETA: 1:19 - loss: 105.0779 - logits_profile_predictions_loss: 103.6661 - logcount_predictions_loss: 0.4868 53/636 [=>............................] - ETA: 1:19 - loss: 105.1394 - logits_profile_predictions_loss: 103.7388 - logcount_predictions_loss: 0.4830 54/636 [=>............................] - ETA: 1:19 - loss: 105.3207 - logits_profile_predictions_loss: 103.9247 - logcount_predictions_loss: 0.4814 55/636 [=>............................] - ETA: 1:19 - loss: 105.2431 - logits_profile_predictions_loss: 103.8477 - logcount_predictions_loss: 0.4811 56/636 [=>............................] - ETA: 1:18 - loss: 105.6475 - logits_profile_predictions_loss: 104.2602 - logcount_predictions_loss: 0.4784 57/636 [=>............................] - ETA: 1:18 - loss: 105.5991 - logits_profile_predictions_loss: 104.1982 - logcount_predictions_loss: 0.4831 58/636 [=>............................] - ETA: 1:18 - loss: 105.7540 - logits_profile_predictions_loss: 104.3520 - logcount_predictions_loss: 0.4834 59/636 [=>............................] - ETA: 1:18 - loss: 105.7438 - logits_profile_predictions_loss: 104.3347 - logcount_predictions_loss: 0.4859 60/636 [=>............................] - ETA: 1:18 - loss: 105.8091 - logits_profile_predictions_loss: 104.3968 - logcount_predictions_loss: 0.4870 61/636 [=>............................] - ETA: 1:18 - loss: 105.8457 - logits_profile_predictions_loss: 104.4296 - logcount_predictions_loss: 0.4883 62/636 [=>............................] - ETA: 1:18 - loss: 105.9687 - logits_profile_predictions_loss: 104.5509 - logcount_predictions_loss: 0.4889 63/636 [=>............................] - ETA: 1:18 - loss: 105.9394 - logits_profile_predictions_loss: 104.5119 - logcount_predictions_loss: 0.4923 64/636 [==>...........................] - ETA: 1:17 - loss: 105.7568 - logits_profile_predictions_loss: 104.3300 - logcount_predictions_loss: 0.4920 65/636 [==>...........................] - ETA: 1:17 - loss: 105.5543 - logits_profile_predictions_loss: 104.1290 - logcount_predictions_loss: 0.4915 66/636 [==>...........................] - ETA: 1:17 - loss: 105.5304 - logits_profile_predictions_loss: 104.1042 - logcount_predictions_loss: 0.4918 67/636 [==>...........................] - ETA: 1:17 - loss: 105.5355 - logits_profile_predictions_loss: 104.1092 - logcount_predictions_loss: 0.4918 68/636 [==>...........................] - ETA: 1:17 - loss: 105.5704 - logits_profile_predictions_loss: 104.1506 - logcount_predictions_loss: 0.4896 69/636 [==>...........................] - ETA: 1:17 - loss: 105.5905 - logits_profile_predictions_loss: 104.1707 - logcount_predictions_loss: 0.4896 70/636 [==>...........................] - ETA: 1:17 - loss: 105.6993 - logits_profile_predictions_loss: 104.2874 - logcount_predictions_loss: 0.4868 71/636 [==>...........................] - ETA: 1:17 - loss: 105.5441 - logits_profile_predictions_loss: 104.1274 - logcount_predictions_loss: 0.4885 72/636 [==>...........................] - ETA: 1:16 - loss: 105.6620 - logits_profile_predictions_loss: 104.2501 - logcount_predictions_loss: 0.4869 73/636 [==>...........................] - ETA: 1:16 - loss: 105.7866 - logits_profile_predictions_loss: 104.3819 - logcount_predictions_loss: 0.4844 74/636 [==>...........................] - ETA: 1:16 - loss: 105.9918 - logits_profile_predictions_loss: 104.5927 - logcount_predictions_loss: 0.4824 75/636 [==>...........................] - ETA: 1:16 - loss: 106.0349 - logits_profile_predictions_loss: 104.6257 - logcount_predictions_loss: 0.4859 76/636 [==>...........................] - ETA: 1:16 - loss: 105.9774 - logits_profile_predictions_loss: 104.5719 - logcount_predictions_loss: 0.4846 77/636 [==>...........................] - ETA: 1:16 - loss: 105.9880 - logits_profile_predictions_loss: 104.5894 - logcount_predictions_loss: 0.4823 78/636 [==>...........................] - ETA: 1:16 - loss: 105.9337 - logits_profile_predictions_loss: 104.5342 - logcount_predictions_loss: 0.4826 79/636 [==>...........................] - ETA: 1:15 - loss: 105.9715 - logits_profile_predictions_loss: 104.5663 - logcount_predictions_loss: 0.4846 80/636 [==>...........................] - ETA: 1:15 - loss: 105.9390 - logits_profile_predictions_loss: 104.5346 - logcount_predictions_loss: 0.4843 81/636 [==>...........................] - ETA: 1:15 - loss: 105.9857 - logits_profile_predictions_loss: 104.5795 - logcount_predictions_loss: 0.4849 82/636 [==>...........................] - ETA: 1:15 - loss: 105.8192 - logits_profile_predictions_loss: 104.4153 - logcount_predictions_loss: 0.4841 83/636 [==>...........................] - ETA: 1:15 - loss: 106.0702 - logits_profile_predictions_loss: 104.6695 - logcount_predictions_loss: 0.4830 84/636 [==>...........................] - ETA: 1:15 - loss: 105.9550 - logits_profile_predictions_loss: 104.5562 - logcount_predictions_loss: 0.4823 85/636 [===>..........................] - ETA: 1:15 - loss: 105.9296 - logits_profile_predictions_loss: 104.5289 - logcount_predictions_loss: 0.4830 86/636 [===>..........................] - ETA: 1:14 - loss: 105.8787 - logits_profile_predictions_loss: 104.4760 - logcount_predictions_loss: 0.4837 87/636 [===>..........................] - ETA: 1:14 - loss: 105.8151 - logits_profile_predictions_loss: 104.4127 - logcount_predictions_loss: 0.4836 88/636 [===>..........................] - ETA: 1:14 - loss: 105.7773 - logits_profile_predictions_loss: 104.3728 - logcount_predictions_loss: 0.4843 89/636 [===>..........................] - ETA: 1:14 - loss: 105.8939 - logits_profile_predictions_loss: 104.4938 - logcount_predictions_loss: 0.4828 90/636 [===>..........................] - ETA: 1:14 - loss: 105.8983 - logits_profile_predictions_loss: 104.4795 - logcount_predictions_loss: 0.4892 91/636 [===>..........................] - ETA: 1:14 - loss: 105.8626 - logits_profile_predictions_loss: 104.4441 - logcount_predictions_loss: 0.4891 92/636 [===>..........................] - ETA: 1:14 - loss: 105.8016 - logits_profile_predictions_loss: 104.3849 - logcount_predictions_loss: 0.4885 93/636 [===>..........................] - ETA: 1:13 - loss: 105.8999 - logits_profile_predictions_loss: 104.4772 - logcount_predictions_loss: 0.4906 94/636 [===>..........................] - ETA: 1:13 - loss: 105.8242 - logits_profile_predictions_loss: 104.4019 - logcount_predictions_loss: 0.4905 95/636 [===>..........................] - ETA: 1:13 - loss: 105.7559 - logits_profile_predictions_loss: 104.3381 - logcount_predictions_loss: 0.4889 96/636 [===>..........................] - ETA: 1:13 - loss: 105.6562 - logits_profile_predictions_loss: 104.2387 - logcount_predictions_loss: 0.4888 97/636 [===>..........................] - ETA: 1:13 - loss: 105.6043 - logits_profile_predictions_loss: 104.1904 - logcount_predictions_loss: 0.4875 98/636 [===>..........................] - ETA: 1:13 - loss: 105.7204 - logits_profile_predictions_loss: 104.3046 - logcount_predictions_loss: 0.4882 99/636 [===>..........................] - ETA: 1:13 - loss: 105.7550 - logits_profile_predictions_loss: 104.3369 - logcount_predictions_loss: 0.4890 100/636 [===>..........................] - ETA: 1:13 - loss: 105.7479 - logits_profile_predictions_loss: 104.3266 - logcount_predictions_loss: 0.4901 101/636 [===>..........................] - ETA: 1:12 - loss: 105.8357 - logits_profile_predictions_loss: 104.4147 - logcount_predictions_loss: 0.4900 102/636 [===>..........................] - ETA: 1:12 - loss: 105.8949 - logits_profile_predictions_loss: 104.4772 - logcount_predictions_loss: 0.4889 103/636 [===>..........................] - ETA: 1:12 - loss: 105.8046 - logits_profile_predictions_loss: 104.3902 - logcount_predictions_loss: 0.4877 104/636 [===>..........................] - ETA: 1:12 - loss: 105.8260 - logits_profile_predictions_loss: 104.4131 - logcount_predictions_loss: 0.4872 105/636 [===>..........................] - ETA: 1:12 - loss: 105.8592 - logits_profile_predictions_loss: 104.4446 - logcount_predictions_loss: 0.4878 106/636 [====>.........................] - ETA: 1:12 - loss: 105.7397 - logits_profile_predictions_loss: 104.3207 - logcount_predictions_loss: 0.4893 107/636 [====>.........................] - ETA: 1:12 - loss: 105.7023 - logits_profile_predictions_loss: 104.2834 - logcount_predictions_loss: 0.4893 108/636 [====>.........................] - ETA: 1:11 - loss: 105.6629 - logits_profile_predictions_loss: 104.2423 - logcount_predictions_loss: 0.4899 109/636 [====>.........................] - ETA: 1:11 - loss: 105.6328 - logits_profile_predictions_loss: 104.2110 - logcount_predictions_loss: 0.4902 110/636 [====>.........................] - ETA: 1:11 - loss: 105.5820 - logits_profile_predictions_loss: 104.1608 - logcount_predictions_loss: 0.4901 111/636 [====>.........................] - ETA: 1:11 - loss: 105.5236 - logits_profile_predictions_loss: 104.1029 - logcount_predictions_loss: 0.4899 112/636 [====>.........................] - ETA: 1:11 - loss: 105.6207 - logits_profile_predictions_loss: 104.2041 - logcount_predictions_loss: 0.4885 113/636 [====>.........................] - ETA: 1:11 - loss: 105.5362 - logits_profile_predictions_loss: 104.1192 - logcount_predictions_loss: 0.4886 114/636 [====>.........................] - ETA: 1:11 - loss: 105.4981 - logits_profile_predictions_loss: 104.0870 - logcount_predictions_loss: 0.4866 115/636 [====>.........................] - ETA: 1:10 - loss: 105.4648 - logits_profile_predictions_loss: 104.0491 - logcount_predictions_loss: 0.4882 116/636 [====>.........................] - ETA: 1:10 - 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[=========================>....] - ETA: 10s - loss: 106.5952 - logits_profile_predictions_loss: 105.1934 - logcount_predictions_loss: 0.4834 563/636 [=========================>....] - ETA: 9s - loss: 106.5973 - logits_profile_predictions_loss: 105.1964 - logcount_predictions_loss: 0.4831  564/636 [=========================>....] - ETA: 9s - loss: 106.5981 - logits_profile_predictions_loss: 105.1966 - logcount_predictions_loss: 0.4833 565/636 [=========================>....] - ETA: 9s - loss: 106.5940 - logits_profile_predictions_loss: 105.1923 - logcount_predictions_loss: 0.4834 566/636 [=========================>....] - ETA: 9s - loss: 106.5849 - logits_profile_predictions_loss: 105.1829 - logcount_predictions_loss: 0.4835 567/636 [=========================>....] - ETA: 9s - loss: 106.6109 - logits_profile_predictions_loss: 105.2095 - logcount_predictions_loss: 0.4833 568/636 [=========================>....] - ETA: 9s - loss: 106.6185 - logits_profile_predictions_loss: 105.2154 - 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[==========================>...] - ETA: 7s - loss: 106.6438 - logits_profile_predictions_loss: 105.2429 - logcount_predictions_loss: 0.4831 583/636 [==========================>...] - ETA: 7s - loss: 106.6653 - logits_profile_predictions_loss: 105.2641 - logcount_predictions_loss: 0.4832 584/636 [==========================>...] - ETA: 7s - loss: 106.6720 - logits_profile_predictions_loss: 105.2712 - logcount_predictions_loss: 0.4831 585/636 [==========================>...] - ETA: 6s - loss: 106.6891 - logits_profile_predictions_loss: 105.2887 - logcount_predictions_loss: 0.4829 586/636 [==========================>...] - ETA: 6s - loss: 106.6921 - logits_profile_predictions_loss: 105.2919 - logcount_predictions_loss: 0.4829 587/636 [==========================>...] - ETA: 6s - loss: 106.7098 - logits_profile_predictions_loss: 105.3088 - logcount_predictions_loss: 0.4831 588/636 [==========================>...] - ETA: 6s - loss: 106.6989 - logits_profile_predictions_loss: 105.2982 - 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logits_profile_predictions_loss: 105.3113 - logcount_predictions_loss: 0.4824 596/636 [===========================>..] - ETA: 5s - loss: 106.7105 - logits_profile_predictions_loss: 105.3119 - logcount_predictions_loss: 0.4823 597/636 [===========================>..] - ETA: 5s - loss: 106.6835 - logits_profile_predictions_loss: 105.2845 - logcount_predictions_loss: 0.4824 598/636 [===========================>..] - ETA: 5s - loss: 106.6964 - logits_profile_predictions_loss: 105.2982 - logcount_predictions_loss: 0.4821 599/636 [===========================>..] - ETA: 5s - loss: 106.6818 - logits_profile_predictions_loss: 105.2845 - logcount_predictions_loss: 0.4819 600/636 [===========================>..] - ETA: 4s - loss: 106.6750 - logits_profile_predictions_loss: 105.2777 - logcount_predictions_loss: 0.4818 601/636 [===========================>..] - ETA: 4s - loss: 106.7357 - logits_profile_predictions_loss: 105.3393 - logcount_predictions_loss: 0.4816 602/636 [===========================>..] - ETA: 4s - loss: 106.7353 - logits_profile_predictions_loss: 105.3383 - logcount_predictions_loss: 0.4817 603/636 [===========================>..] - ETA: 4s - loss: 106.7393 - logits_profile_predictions_loss: 105.3425 - logcount_predictions_loss: 0.4817 604/636 [===========================>..] - ETA: 4s - loss: 106.7497 - logits_profile_predictions_loss: 105.3533 - logcount_predictions_loss: 0.4815 605/636 [===========================>..] - ETA: 4s - loss: 106.7464 - logits_profile_predictions_loss: 105.3504 - logcount_predictions_loss: 0.4814 606/636 [===========================>..] - ETA: 4s - loss: 106.7478 - logits_profile_predictions_loss: 105.3525 - logcount_predictions_loss: 0.4812 607/636 [===========================>..] - ETA: 3s - loss: 106.7555 - logits_profile_predictions_loss: 105.3608 - logcount_predictions_loss: 0.4810 608/636 [===========================>..] - ETA: 3s - loss: 106.7541 - logits_profile_predictions_loss: 105.3598 - logcount_predictions_loss: 0.4808 609/636 [===========================>..] - ETA: 3s - loss: 106.7400 - logits_profile_predictions_loss: 105.3453 - logcount_predictions_loss: 0.4810 610/636 [===========================>..] - ETA: 3s - loss: 106.7395 - logits_profile_predictions_loss: 105.3448 - logcount_predictions_loss: 0.4810 611/636 [===========================>..] - ETA: 3s - loss: 106.7552 - logits_profile_predictions_loss: 105.3600 - logcount_predictions_loss: 0.4811 612/636 [===========================>..] - ETA: 3s - loss: 106.7473 - logits_profile_predictions_loss: 105.3517 - logcount_predictions_loss: 0.4813 613/636 [===========================>..] - ETA: 3s - loss: 106.7613 - logits_profile_predictions_loss: 105.3664 - logcount_predictions_loss: 0.4810 614/636 [===========================>..] - ETA: 3s - loss: 106.7732 - logits_profile_predictions_loss: 105.3777 - logcount_predictions_loss: 0.4812 615/636 [============================>.] - ETA: 2s - loss: 106.7946 - logits_profile_predictions_loss: 105.3988 - logcount_predictions_loss: 0.4813 616/636 [============================>.] - ETA: 2s - loss: 106.7956 - logits_profile_predictions_loss: 105.4001 - logcount_predictions_loss: 0.4812 617/636 [============================>.] - ETA: 2s - loss: 106.7844 - logits_profile_predictions_loss: 105.3891 - logcount_predictions_loss: 0.4812 618/636 [============================>.] - ETA: 2s - loss: 106.7769 - logits_profile_predictions_loss: 105.3817 - logcount_predictions_loss: 0.4811 619/636 [============================>.] - ETA: 2s - loss: 106.7710 - logits_profile_predictions_loss: 105.3760 - logcount_predictions_loss: 0.4811 620/636 [============================>.] - ETA: 2s - loss: 106.7902 - logits_profile_predictions_loss: 105.3955 - logcount_predictions_loss: 0.4810 621/636 [============================>.] - ETA: 2s - loss: 106.8113 - logits_profile_predictions_loss: 105.4159 - logcount_predictions_loss: 0.4812 622/636 [============================>.] - ETA: 1s - loss: 106.8039 - logits_profile_predictions_loss: 105.4090 - logcount_predictions_loss: 0.4811 623/636 [============================>.] - ETA: 1s - loss: 106.8256 - logits_profile_predictions_loss: 105.4305 - logcount_predictions_loss: 0.4811 624/636 [============================>.] - ETA: 1s - loss: 106.8341 - logits_profile_predictions_loss: 105.4399 - logcount_predictions_loss: 0.4808 625/636 [============================>.] - ETA: 1s - loss: 106.8342 - logits_profile_predictions_loss: 105.4403 - logcount_predictions_loss: 0.4807 626/636 [============================>.] - ETA: 1s - loss: 106.8421 - logits_profile_predictions_loss: 105.4485 - logcount_predictions_loss: 0.4806 627/636 [============================>.] - ETA: 1s - loss: 106.8344 - logits_profile_predictions_loss: 105.4402 - logcount_predictions_loss: 0.4808 628/636 [============================>.] - ETA: 1s - loss: 106.8517 - logits_profile_predictions_loss: 105.4572 - logcount_predictions_loss: 0.4809 629/636 [============================>.] - ETA: 0s - loss: 106.8648 - logits_profile_predictions_loss: 105.4704 - logcount_predictions_loss: 0.4809 630/636 [============================>.] - ETA: 0s - loss: 106.8713 - logits_profile_predictions_loss: 105.4770 - logcount_predictions_loss: 0.4808 631/636 [============================>.] - ETA: 0s - loss: 106.8551 - logits_profile_predictions_loss: 105.4613 - logcount_predictions_loss: 0.4806 632/636 [============================>.] - ETA: 0s - loss: 106.8426 - logits_profile_predictions_loss: 105.4492 - logcount_predictions_loss: 0.4805 633/636 [============================>.] - ETA: 0s - loss: 106.8459 - logits_profile_predictions_loss: 105.4530 - logcount_predictions_loss: 0.4804 634/636 [============================>.] - ETA: 0s - loss: 106.8539 - logits_profile_predictions_loss: 105.4613 - logcount_predictions_loss: 0.4802 635/636 [============================>.] - ETA: 0s - loss: 106.8639 - logits_profile_predictions_loss: 105.4703 - logcount_predictions_loss: 0.4806 636/636 [==============================] - ETA: 0s - loss: 106.8710 - logits_profile_predictions_loss: 105.4775 - logcount_predictions_loss: 0.4806 Epoch 8: val_loss did not improve from 112.93493  636/636 [==============================] - 91s 142ms/step - loss: 106.8710 - logits_profile_predictions_loss: 105.4775 - logcount_predictions_loss: 0.4806 - val_loss: 112.9710 - val_logits_profile_predictions_loss: 111.5315 - val_logcount_predictions_loss: 0.4963 Epoch 9/50 1/636 [..............................] - ETA: 1:34 - loss: 101.1656 - logits_profile_predictions_loss: 99.9972 - logcount_predictions_loss: 0.4029 2/636 [..............................] - ETA: 1:26 - loss: 96.6006 - logits_profile_predictions_loss: 95.4612 - logcount_predictions_loss: 0.3929  3/636 [..............................] - ETA: 1:26 - loss: 102.4463 - logits_profile_predictions_loss: 101.1346 - logcount_predictions_loss: 0.4523 4/636 [..............................] - ETA: 1:26 - loss: 104.9272 - logits_profile_predictions_loss: 103.7492 - logcount_predictions_loss: 0.4062 5/636 [..............................] - ETA: 1:26 - loss: 104.8967 - logits_profile_predictions_loss: 103.5320 - logcount_predictions_loss: 0.4706 6/636 [..............................] - ETA: 1:26 - loss: 103.8354 - logits_profile_predictions_loss: 102.4752 - logcount_predictions_loss: 0.4690 7/636 [..............................] - ETA: 1:26 - loss: 102.5505 - logits_profile_predictions_loss: 101.1903 - logcount_predictions_loss: 0.4690 8/636 [..............................] - ETA: 1:25 - loss: 102.7995 - logits_profile_predictions_loss: 101.3730 - logcount_predictions_loss: 0.4919 9/636 [..............................] - ETA: 1:25 - loss: 103.6557 - logits_profile_predictions_loss: 102.1842 - logcount_predictions_loss: 0.5074 10/636 [..............................] - ETA: 1:25 - loss: 103.8816 - logits_profile_predictions_loss: 102.4281 - logcount_predictions_loss: 0.5012 11/636 [..............................] - ETA: 1:25 - loss: 104.0136 - logits_profile_predictions_loss: 102.4620 - logcount_predictions_loss: 0.5350 12/636 [..............................] - ETA: 1:25 - loss: 104.0949 - logits_profile_predictions_loss: 102.5688 - logcount_predictions_loss: 0.5262 13/636 [..............................] - ETA: 1:24 - loss: 104.4075 - logits_profile_predictions_loss: 102.8524 - logcount_predictions_loss: 0.5363 14/636 [..............................] - ETA: 1:24 - loss: 103.8863 - logits_profile_predictions_loss: 102.3371 - logcount_predictions_loss: 0.5342 15/636 [..............................] - ETA: 1:24 - loss: 104.7595 - logits_profile_predictions_loss: 103.2498 - logcount_predictions_loss: 0.5206 16/636 [..............................] - ETA: 1:24 - loss: 104.7122 - logits_profile_predictions_loss: 103.2267 - logcount_predictions_loss: 0.5123 17/636 [..............................] - ETA: 1:24 - loss: 104.7083 - logits_profile_predictions_loss: 103.2165 - logcount_predictions_loss: 0.5144 18/636 [..............................] - ETA: 1:24 - loss: 104.5535 - logits_profile_predictions_loss: 103.0738 - logcount_predictions_loss: 0.5102 19/636 [..............................] - ETA: 1:24 - loss: 106.0853 - logits_profile_predictions_loss: 104.6143 - logcount_predictions_loss: 0.5073 20/636 [..............................] - ETA: 1:23 - loss: 106.5188 - logits_profile_predictions_loss: 105.0739 - logcount_predictions_loss: 0.4983 21/636 [..............................] - ETA: 1:23 - loss: 106.8391 - logits_profile_predictions_loss: 105.4193 - logcount_predictions_loss: 0.4896 22/636 [>.............................] - ETA: 1:23 - loss: 106.4645 - logits_profile_predictions_loss: 105.0613 - logcount_predictions_loss: 0.4839 23/636 [>.............................] - ETA: 1:23 - loss: 106.1959 - logits_profile_predictions_loss: 104.7936 - logcount_predictions_loss: 0.4836 24/636 [>.............................] - ETA: 1:23 - loss: 106.2795 - logits_profile_predictions_loss: 104.8777 - logcount_predictions_loss: 0.4834 25/636 [>.............................] - ETA: 1:23 - loss: 106.4999 - logits_profile_predictions_loss: 105.0971 - logcount_predictions_loss: 0.4837 26/636 [>.............................] - ETA: 1:23 - loss: 106.3721 - logits_profile_predictions_loss: 104.9782 - logcount_predictions_loss: 0.4807 27/636 [>.............................] - ETA: 1:22 - loss: 106.6322 - logits_profile_predictions_loss: 105.2088 - logcount_predictions_loss: 0.4908 28/636 [>.............................] - ETA: 1:22 - loss: 106.3710 - logits_profile_predictions_loss: 104.9471 - logcount_predictions_loss: 0.4910 29/636 [>.............................] - ETA: 1:22 - loss: 106.0289 - logits_profile_predictions_loss: 104.6104 - logcount_predictions_loss: 0.4892 30/636 [>.............................] - ETA: 1:22 - loss: 106.2147 - logits_profile_predictions_loss: 104.7639 - logcount_predictions_loss: 0.5003 31/636 [>.............................] - ETA: 1:22 - loss: 106.3364 - logits_profile_predictions_loss: 104.8825 - logcount_predictions_loss: 0.5014 32/636 [>.............................] - ETA: 1:22 - loss: 106.4522 - logits_profile_predictions_loss: 104.9878 - logcount_predictions_loss: 0.5050 33/636 [>.............................] - ETA: 1:21 - loss: 106.6244 - logits_profile_predictions_loss: 105.1578 - logcount_predictions_loss: 0.5057 34/636 [>.............................] - ETA: 1:21 - loss: 106.4520 - logits_profile_predictions_loss: 104.9811 - logcount_predictions_loss: 0.5072 35/636 [>.............................] - ETA: 1:21 - loss: 106.3100 - logits_profile_predictions_loss: 104.8491 - logcount_predictions_loss: 0.5037 36/636 [>.............................] - ETA: 1:21 - loss: 106.4564 - logits_profile_predictions_loss: 105.0016 - logcount_predictions_loss: 0.5017 37/636 [>.............................] - ETA: 1:21 - loss: 106.1587 - logits_profile_predictions_loss: 104.7031 - logcount_predictions_loss: 0.5019 38/636 [>.............................] - ETA: 1:21 - loss: 106.2270 - logits_profile_predictions_loss: 104.7846 - logcount_predictions_loss: 0.4974 39/636 [>.............................] - ETA: 1:21 - loss: 106.0604 - logits_profile_predictions_loss: 104.6300 - logcount_predictions_loss: 0.4932 40/636 [>.............................] - ETA: 1:21 - loss: 106.1522 - logits_profile_predictions_loss: 104.7111 - logcount_predictions_loss: 0.4969 41/636 [>.............................] - ETA: 1:21 - loss: 106.0618 - logits_profile_predictions_loss: 104.6281 - logcount_predictions_loss: 0.4944 42/636 [>.............................] - ETA: 1:20 - loss: 105.8147 - logits_profile_predictions_loss: 104.3708 - logcount_predictions_loss: 0.4979 43/636 [=>............................] - ETA: 1:20 - loss: 105.5571 - logits_profile_predictions_loss: 104.1069 - logcount_predictions_loss: 0.5001 44/636 [=>............................] - ETA: 1:20 - loss: 105.5432 - logits_profile_predictions_loss: 104.0876 - logcount_predictions_loss: 0.5020 45/636 [=>............................] - ETA: 1:20 - loss: 105.7373 - logits_profile_predictions_loss: 104.2791 - logcount_predictions_loss: 0.5028 46/636 [=>............................] - ETA: 1:20 - loss: 105.8063 - logits_profile_predictions_loss: 104.3449 - logcount_predictions_loss: 0.5039 47/636 [=>............................] - ETA: 1:20 - loss: 105.5778 - logits_profile_predictions_loss: 104.1209 - logcount_predictions_loss: 0.5024 48/636 [=>............................] - ETA: 1:20 - loss: 105.8719 - logits_profile_predictions_loss: 104.4222 - logcount_predictions_loss: 0.4999 49/636 [=>............................] - ETA: 1:19 - loss: 105.6376 - logits_profile_predictions_loss: 104.1981 - logcount_predictions_loss: 0.4964 50/636 [=>............................] - ETA: 1:19 - loss: 105.5212 - logits_profile_predictions_loss: 104.0782 - logcount_predictions_loss: 0.4976 51/636 [=>............................] - ETA: 1:19 - loss: 105.6133 - logits_profile_predictions_loss: 104.1672 - logcount_predictions_loss: 0.4987 52/636 [=>............................] - ETA: 1:19 - loss: 105.5213 - logits_profile_predictions_loss: 104.0817 - logcount_predictions_loss: 0.4964 53/636 [=>............................] - ETA: 1:19 - loss: 105.4533 - logits_profile_predictions_loss: 104.0133 - logcount_predictions_loss: 0.4966 54/636 [=>............................] - ETA: 1:19 - loss: 105.1992 - logits_profile_predictions_loss: 103.7663 - logcount_predictions_loss: 0.4941 55/636 [=>............................] - ETA: 1:19 - loss: 105.4768 - logits_profile_predictions_loss: 104.0487 - logcount_predictions_loss: 0.4924 56/636 [=>............................] - ETA: 1:19 - loss: 105.5858 - logits_profile_predictions_loss: 104.1641 - logcount_predictions_loss: 0.4903 57/636 [=>............................] - ETA: 1:18 - loss: 105.7614 - 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[==>...........................] - ETA: 1:17 - loss: 106.1987 - logits_profile_predictions_loss: 104.7886 - logcount_predictions_loss: 0.4863 65/636 [==>...........................] - ETA: 1:17 - loss: 106.1638 - logits_profile_predictions_loss: 104.7390 - logcount_predictions_loss: 0.4913 66/636 [==>...........................] - ETA: 1:17 - loss: 105.9765 - logits_profile_predictions_loss: 104.5554 - logcount_predictions_loss: 0.4900 67/636 [==>...........................] - ETA: 1:17 - loss: 106.2792 - logits_profile_predictions_loss: 104.8642 - logcount_predictions_loss: 0.4880 68/636 [==>...........................] - ETA: 1:17 - loss: 106.2586 - logits_profile_predictions_loss: 104.8502 - logcount_predictions_loss: 0.4857 69/636 [==>...........................] - ETA: 1:17 - loss: 106.4002 - logits_profile_predictions_loss: 104.9915 - logcount_predictions_loss: 0.4858 70/636 [==>...........................] - ETA: 1:17 - loss: 106.4497 - logits_profile_predictions_loss: 105.0399 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[==========================>...] - ETA: 7s - loss: 106.6025 - logits_profile_predictions_loss: 105.2169 - logcount_predictions_loss: 0.4778 584/636 [==========================>...] - ETA: 7s - loss: 106.6301 - logits_profile_predictions_loss: 105.2442 - logcount_predictions_loss: 0.4779 585/636 [==========================>...] - ETA: 6s - loss: 106.6007 - logits_profile_predictions_loss: 105.2147 - logcount_predictions_loss: 0.4779 586/636 [==========================>...] - ETA: 6s - loss: 106.6269 - logits_profile_predictions_loss: 105.2402 - logcount_predictions_loss: 0.4782 587/636 [==========================>...] - ETA: 6s - loss: 106.6115 - logits_profile_predictions_loss: 105.2256 - logcount_predictions_loss: 0.4779 588/636 [==========================>...] - ETA: 6s - loss: 106.6053 - logits_profile_predictions_loss: 105.2192 - logcount_predictions_loss: 0.4780 589/636 [==========================>...] - ETA: 6s - loss: 106.6112 - logits_profile_predictions_loss: 105.2248 - 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[============================>.] - ETA: 1s - loss: 106.7130 - logits_profile_predictions_loss: 105.3270 - logcount_predictions_loss: 0.4779 624/636 [============================>.] - ETA: 1s - loss: 106.7072 - logits_profile_predictions_loss: 105.3210 - logcount_predictions_loss: 0.4780 625/636 [============================>.] - ETA: 1s - loss: 106.7211 - logits_profile_predictions_loss: 105.3346 - logcount_predictions_loss: 0.4781 626/636 [============================>.] - ETA: 1s - loss: 106.7073 - logits_profile_predictions_loss: 105.3214 - logcount_predictions_loss: 0.4779 627/636 [============================>.] - ETA: 1s - loss: 106.7117 - logits_profile_predictions_loss: 105.3264 - logcount_predictions_loss: 0.4777 628/636 [============================>.] - ETA: 1s - loss: 106.6898 - logits_profile_predictions_loss: 105.3046 - logcount_predictions_loss: 0.4777 629/636 [============================>.] - ETA: 0s - loss: 106.7126 - logits_profile_predictions_loss: 105.3276 - logcount_predictions_loss: 0.4776 630/636 [============================>.] - ETA: 0s - loss: 106.6875 - logits_profile_predictions_loss: 105.3018 - logcount_predictions_loss: 0.4778 631/636 [============================>.] - ETA: 0s - loss: 106.6975 - logits_profile_predictions_loss: 105.3119 - logcount_predictions_loss: 0.4778 632/636 [============================>.] - ETA: 0s - loss: 106.6849 - logits_profile_predictions_loss: 105.2998 - logcount_predictions_loss: 0.4776 633/636 [============================>.] - ETA: 0s - loss: 106.6797 - logits_profile_predictions_loss: 105.2945 - logcount_predictions_loss: 0.4776 634/636 [============================>.] - ETA: 0s - loss: 106.6901 - logits_profile_predictions_loss: 105.3047 - logcount_predictions_loss: 0.4777 635/636 [============================>.] - ETA: 0s - loss: 106.6831 - logits_profile_predictions_loss: 105.2974 - logcount_predictions_loss: 0.4778 636/636 [==============================] - ETA: 0s - loss: 106.6758 - logits_profile_predictions_loss: 105.2889 - logcount_predictions_loss: 0.4782 Epoch 9: val_loss did not improve from 112.93493  636/636 [==============================] - 91s 143ms/step - loss: 106.6758 - logits_profile_predictions_loss: 105.2889 - logcount_predictions_loss: 0.4782 - val_loss: 113.2462 - val_logits_profile_predictions_loss: 111.7570 - val_logcount_predictions_loss: 0.5135 Epoch 10/50 1/636 [..............................] - ETA: 1:41 - loss: 98.5945 - logits_profile_predictions_loss: 97.3321 - logcount_predictions_loss: 0.4353 2/636 [..............................] - ETA: 1:26 - loss: 111.0860 - logits_profile_predictions_loss: 109.6885 - logcount_predictions_loss: 0.4819 3/636 [..............................] - ETA: 1:26 - loss: 109.7223 - logits_profile_predictions_loss: 108.3940 - logcount_predictions_loss: 0.4580 4/636 [..............................] - ETA: 1:26 - loss: 108.1926 - logits_profile_predictions_loss: 106.7909 - logcount_predictions_loss: 0.4833 5/636 [..............................] - ETA: 1:26 - loss: 112.0785 - logits_profile_predictions_loss: 110.7166 - logcount_predictions_loss: 0.4696 6/636 [..............................] - ETA: 1:25 - loss: 109.7421 - logits_profile_predictions_loss: 108.3800 - logcount_predictions_loss: 0.4697 7/636 [..............................] - ETA: 1:25 - loss: 109.2028 - logits_profile_predictions_loss: 107.8028 - logcount_predictions_loss: 0.4828 8/636 [..............................] - ETA: 1:25 - loss: 110.1743 - logits_profile_predictions_loss: 108.7484 - logcount_predictions_loss: 0.4917 9/636 [..............................] - ETA: 1:25 - loss: 109.9289 - logits_profile_predictions_loss: 108.5185 - logcount_predictions_loss: 0.4863 10/636 [..............................] - ETA: 1:25 - loss: 110.0623 - logits_profile_predictions_loss: 108.6514 - logcount_predictions_loss: 0.4865 11/636 [..............................] - ETA: 1:25 - loss: 111.7190 - logits_profile_predictions_loss: 110.2988 - 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logits_profile_predictions_loss: 104.5212 - logcount_predictions_loss: 0.4717 598/636 [===========================>..] - ETA: 5s - loss: 105.8747 - logits_profile_predictions_loss: 104.5054 - logcount_predictions_loss: 0.4721 599/636 [===========================>..] - ETA: 5s - loss: 105.9016 - logits_profile_predictions_loss: 104.5322 - logcount_predictions_loss: 0.4722 600/636 [===========================>..] - ETA: 4s - loss: 105.9143 - logits_profile_predictions_loss: 104.5448 - logcount_predictions_loss: 0.4722 601/636 [===========================>..] - ETA: 4s - loss: 105.9232 - logits_profile_predictions_loss: 104.5528 - logcount_predictions_loss: 0.4725 602/636 [===========================>..] - ETA: 4s - loss: 105.9161 - logits_profile_predictions_loss: 104.5469 - logcount_predictions_loss: 0.4721 603/636 [===========================>..] - ETA: 4s - loss: 105.9155 - logits_profile_predictions_loss: 104.5460 - logcount_predictions_loss: 0.4722 604/636 [===========================>..] - ETA: 4s - loss: 105.9367 - logits_profile_predictions_loss: 104.5669 - logcount_predictions_loss: 0.4723 605/636 [===========================>..] - ETA: 4s - loss: 105.9209 - logits_profile_predictions_loss: 104.5504 - logcount_predictions_loss: 0.4726 606/636 [===========================>..] - ETA: 4s - loss: 105.9169 - logits_profile_predictions_loss: 104.5461 - logcount_predictions_loss: 0.4727 607/636 [===========================>..] - ETA: 3s - loss: 105.9366 - logits_profile_predictions_loss: 104.5654 - logcount_predictions_loss: 0.4728 608/636 [===========================>..] - ETA: 3s - loss: 105.9528 - logits_profile_predictions_loss: 104.5821 - logcount_predictions_loss: 0.4726 609/636 [===========================>..] - ETA: 3s - loss: 105.9706 - logits_profile_predictions_loss: 104.6004 - logcount_predictions_loss: 0.4724 610/636 [===========================>..] - ETA: 3s - loss: 105.9685 - logits_profile_predictions_loss: 104.5993 - logcount_predictions_loss: 0.4721 611/636 [===========================>..] - ETA: 3s - loss: 105.9453 - logits_profile_predictions_loss: 104.5762 - logcount_predictions_loss: 0.4721 612/636 [===========================>..] - ETA: 3s - loss: 105.9349 - logits_profile_predictions_loss: 104.5659 - logcount_predictions_loss: 0.4720 613/636 [===========================>..] - ETA: 3s - loss: 105.9371 - logits_profile_predictions_loss: 104.5673 - logcount_predictions_loss: 0.4723 614/636 [===========================>..] - ETA: 3s - loss: 105.9363 - logits_profile_predictions_loss: 104.5664 - logcount_predictions_loss: 0.4723 615/636 [============================>.] - ETA: 2s - loss: 105.9451 - logits_profile_predictions_loss: 104.5748 - logcount_predictions_loss: 0.4725 616/636 [============================>.] - ETA: 2s - loss: 105.9395 - logits_profile_predictions_loss: 104.5688 - logcount_predictions_loss: 0.4726 617/636 [============================>.] - ETA: 2s - loss: 105.9600 - logits_profile_predictions_loss: 104.5890 - logcount_predictions_loss: 0.4728 618/636 [============================>.] - ETA: 2s - loss: 105.9566 - logits_profile_predictions_loss: 104.5859 - logcount_predictions_loss: 0.4726 619/636 [============================>.] - ETA: 2s - loss: 105.9497 - logits_profile_predictions_loss: 104.5795 - logcount_predictions_loss: 0.4724 620/636 [============================>.] - ETA: 2s - loss: 105.9280 - logits_profile_predictions_loss: 104.5581 - logcount_predictions_loss: 0.4724 621/636 [============================>.] - ETA: 2s - loss: 105.9363 - logits_profile_predictions_loss: 104.5667 - logcount_predictions_loss: 0.4723 622/636 [============================>.] - ETA: 1s - loss: 105.9098 - logits_profile_predictions_loss: 104.5407 - logcount_predictions_loss: 0.4721 623/636 [============================>.] - ETA: 1s - loss: 105.9161 - logits_profile_predictions_loss: 104.5471 - logcount_predictions_loss: 0.4720 624/636 [============================>.] - ETA: 1s - loss: 105.9132 - logits_profile_predictions_loss: 104.5453 - logcount_predictions_loss: 0.4717 625/636 [============================>.] - ETA: 1s - loss: 105.9027 - logits_profile_predictions_loss: 104.5353 - logcount_predictions_loss: 0.4715 626/636 [============================>.] - ETA: 1s - loss: 105.9110 - logits_profile_predictions_loss: 104.5444 - logcount_predictions_loss: 0.4712 627/636 [============================>.] - ETA: 1s - loss: 105.9184 - logits_profile_predictions_loss: 104.5521 - logcount_predictions_loss: 0.4711 628/636 [============================>.] - ETA: 1s - loss: 105.9288 - logits_profile_predictions_loss: 104.5628 - logcount_predictions_loss: 0.4710 629/636 [============================>.] - ETA: 0s - loss: 105.9308 - logits_profile_predictions_loss: 104.5644 - logcount_predictions_loss: 0.4712 630/636 [============================>.] - ETA: 0s - loss: 105.9305 - logits_profile_predictions_loss: 104.5646 - logcount_predictions_loss: 0.4710 631/636 [============================>.] - ETA: 0s - loss: 105.9538 - logits_profile_predictions_loss: 104.5876 - logcount_predictions_loss: 0.4711 632/636 [============================>.] - ETA: 0s - loss: 105.9605 - logits_profile_predictions_loss: 104.5942 - logcount_predictions_loss: 0.4711 633/636 [============================>.] - ETA: 0s - loss: 105.9689 - logits_profile_predictions_loss: 104.6031 - logcount_predictions_loss: 0.4709 634/636 [============================>.] - ETA: 0s - loss: 105.9841 - logits_profile_predictions_loss: 104.6188 - logcount_predictions_loss: 0.4708 635/636 [============================>.] - ETA: 0s - loss: 105.9638 - logits_profile_predictions_loss: 104.5993 - logcount_predictions_loss: 0.4705 636/636 [==============================] - ETA: 0s - loss: 105.9807 - logits_profile_predictions_loss: 104.6163 - logcount_predictions_loss: 0.4705 Epoch 10: val_loss did not improve from 112.93493 Restoring model weights from the end of the best epoch: 5.  636/636 [==============================] - 91s 143ms/step - loss: 105.9807 - logits_profile_predictions_loss: 104.6163 - logcount_predictions_loss: 0.4705 - val_loss: 113.3970 - val_logits_profile_predictions_loss: 112.1155 - val_logcount_predictions_loss: 0.4419 Epoch 10: early stopping save model save model without bias got the model loading peaks... got split:test for bed regions:(10684, 10) 0/167 100/167 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 1/167 [..............................] - ETA: 31s 3/167 [..............................] - ETA: 7s  5/167 [..............................] - ETA: 7s 7/167 [>.............................] - ETA: 7s 9/167 [>.............................] - ETA: 7s 11/167 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[================>.............] - ETA: 3s 100/167 [================>.............] - ETA: 3s 102/167 [=================>............] - ETA: 3s 104/167 [=================>............] - ETA: 3s 106/167 [==================>...........] - ETA: 2s 108/167 [==================>...........] - ETA: 2s 110/167 [==================>...........] - ETA: 2s 112/167 [===================>..........] - ETA: 2s 114/167 [===================>..........] - ETA: 2s 116/167 [===================>..........] - ETA: 2s 118/167 [====================>.........] - ETA: 2s 120/167 [====================>.........] - ETA: 2s 122/167 [====================>.........] - ETA: 2s 124/167 [=====================>........] - ETA: 2s 126/167 [=====================>........] - ETA: 1s 128/167 [=====================>........] - ETA: 1s 130/167 [======================>.......] - ETA: 1s 132/167 [======================>.......] - ETA: 1s 134/167 [=======================>......] - ETA: 1s 136/167 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- ETA: 7s 7/167 [>.............................] - ETA: 7s 9/167 [>.............................] - ETA: 7s 11/167 [>.............................] - ETA: 7s 13/167 [=>............................] - ETA: 7s 15/167 [=>............................] - ETA: 7s 17/167 [==>...........................] - ETA: 7s 19/167 [==>...........................] - ETA: 7s 21/167 [==>...........................] - ETA: 7s 23/167 [===>..........................] - ETA: 6s 25/167 [===>..........................] - ETA: 6s 27/167 [===>..........................] - ETA: 6s 29/167 [====>.........................] - ETA: 6s 31/167 [====>.........................] - ETA: 6s 33/167 [====>.........................] - ETA: 6s 35/167 [=====>........................] - ETA: 6s 37/167 [=====>........................] - ETA: 6s 39/167 [======>.......................] - ETA: 6s 41/167 [======>.......................] - ETA: 6s 43/167 [======>.......................] - ETA: 5s 45/167 [=======>......................] - ETA: 5s 47/167 [=======>......................] - ETA: 5s 49/167 [=======>......................] - ETA: 5s 51/167 [========>.....................] - ETA: 5s 53/167 [========>.....................] - ETA: 5s 55/167 [========>.....................] - ETA: 5s 57/167 [=========>....................] - ETA: 5s 59/167 [=========>....................] - ETA: 5s 61/167 [=========>....................] - ETA: 5s 63/167 [==========>...................] - ETA: 5s 65/167 [==========>...................] - ETA: 4s 67/167 [===========>..................] - ETA: 4s 69/167 [===========>..................] - ETA: 4s 71/167 [===========>..................] - ETA: 4s 73/167 [============>.................] - ETA: 4s 75/167 [============>.................] - ETA: 4s 77/167 [============>.................] - ETA: 4s 79/167 [=============>................] - ETA: 4s 81/167 [=============>................] - ETA: 4s 83/167 [=============>................] - ETA: 4s 85/167 [==============>...............] - ETA: 3s 87/167 [==============>...............] - ETA: 3s 89/167 [==============>...............] - ETA: 3s 91/167 [===============>..............] - ETA: 3s 93/167 [===============>..............] - ETA: 3s 95/167 [================>.............] - ETA: 3s 97/167 [================>.............] - ETA: 3s 99/167 [================>.............] - ETA: 3s 101/167 [=================>............] - ETA: 3s 103/167 [=================>............] - ETA: 3s 105/167 [=================>............] - ETA: 2s 107/167 [==================>...........] - ETA: 2s 109/167 [==================>...........] - ETA: 2s 111/167 [==================>...........] - ETA: 2s 113/167 [===================>..........] - ETA: 2s 115/167 [===================>..........] - ETA: 2s 117/167 [====================>.........] - ETA: 2s 119/167 [====================>.........] - ETA: 2s 121/167 [====================>.........] - ETA: 2s 122/167 [====================>.........] - ETA: 2s 124/167 [=====================>........] - ETA: 2s 126/167 [=====================>........] - ETA: 1s 128/167 [=====================>........] - ETA: 1s 130/167 [======================>.......] - ETA: 1s 132/167 [======================>.......] - ETA: 1s 134/167 [=======================>......] - ETA: 1s 136/167 [=======================>......] - ETA: 1s 138/167 [=======================>......] - ETA: 1s 140/167 [========================>.....] - ETA: 1s 142/167 [========================>.....] - ETA: 1s 144/167 [========================>.....] - ETA: 1s 146/167 [=========================>....] - ETA: 1s 148/167 [=========================>....] - ETA: 0s 150/167 [=========================>....] - ETA: 0s 152/167 [==========================>...] - ETA: 0s 154/167 [==========================>...] - ETA: 0s 156/167 [===========================>..] - ETA: 0s 158/167 [===========================>..] - ETA: 0s 160/167 [===========================>..] - ETA: 0s 162/167 [============================>.] - ETA: 0s 164/167 [============================>.] - ETA: 0s 166/167 [============================>.] - ETA: 0s 167/167 [==============================] - 8s 48ms/step inserting motif: tn5_2 GTGCACAGTTCTAGAGTGTGCAG 1/167 [..............................] - ETA: 5s 3/167 [..............................] - ETA: 7s 5/167 [..............................] - ETA: 7s 7/167 [>.............................] - ETA: 7s 9/167 [>.............................] - ETA: 7s 11/167 [>.............................] - ETA: 7s 13/167 [=>............................] - ETA: 7s 15/167 [=>............................] - ETA: 7s 17/167 [==>...........................] - ETA: 7s 19/167 [==>...........................] - ETA: 7s 21/167 [==>...........................] - ETA: 7s 23/167 [===>..........................] - ETA: 6s 25/167 [===>..........................] - ETA: 6s 27/167 [===>..........................] - ETA: 6s 29/167 [====>.........................] - ETA: 6s 31/167 [====>.........................] - ETA: 6s 33/167 [====>.........................] - ETA: 6s 35/167 [=====>........................] - ETA: 6s 37/167 [=====>........................] - ETA: 6s 39/167 [======>.......................] - ETA: 6s 41/167 [======>.......................] - ETA: 6s 43/167 [======>.......................] - ETA: 5s 45/167 [=======>......................] - ETA: 5s 47/167 [=======>......................] - ETA: 5s 49/167 [=======>......................] - ETA: 5s 51/167 [========>.....................] - ETA: 5s 53/167 [========>.....................] - ETA: 5s 55/167 [========>.....................] - ETA: 5s 57/167 [=========>....................] - ETA: 5s 59/167 [=========>....................] - ETA: 5s 61/167 [=========>....................] - ETA: 5s 63/167 [==========>...................] - ETA: 4s 65/167 [==========>...................] - ETA: 4s 67/167 [===========>..................] - ETA: 4s 69/167 [===========>..................] - ETA: 4s 71/167 [===========>..................] - ETA: 4s 73/167 [============>.................] - ETA: 4s 75/167 [============>.................] - ETA: 4s 77/167 [============>.................] - ETA: 4s 79/167 [=============>................] - ETA: 4s 81/167 [=============>................] - ETA: 4s 83/167 [=============>................] - ETA: 4s 85/167 [==============>...............] - ETA: 3s 87/167 [==============>...............] - ETA: 3s 89/167 [==============>...............] - ETA: 3s 91/167 [===============>..............] - ETA: 3s 93/167 [===============>..............] - ETA: 3s 95/167 [================>.............] - ETA: 3s 97/167 [================>.............] - ETA: 3s 99/167 [================>.............] - ETA: 3s 101/167 [=================>............] - ETA: 3s 103/167 [=================>............] - ETA: 3s 105/167 [=================>............] - ETA: 2s 107/167 [==================>...........] - ETA: 2s 109/167 [==================>...........] - ETA: 2s 111/167 [==================>...........] - ETA: 2s 113/167 [===================>..........] - ETA: 2s 115/167 [===================>..........] - ETA: 2s 117/167 [====================>.........] - ETA: 2s 119/167 [====================>.........] - ETA: 2s 121/167 [====================>.........] - ETA: 2s 123/167 [=====================>........] - ETA: 2s 125/167 [=====================>........] - ETA: 2s 127/167 [=====================>........] - ETA: 1s 129/167 [======================>.......] - ETA: 1s 131/167 [======================>.......] - ETA: 1s 133/167 [======================>.......] - ETA: 1s 135/167 [=======================>......] - ETA: 1s 137/167 [=======================>......] - ETA: 1s 139/167 [=======================>......] - ETA: 1s 141/167 [========================>.....] - ETA: 1s 143/167 [========================>.....] - ETA: 1s 145/167 [=========================>....] - ETA: 1s 147/167 [=========================>....] - ETA: 0s 149/167 [=========================>....] - ETA: 0s 151/167 [==========================>...] - ETA: 0s 153/167 [==========================>...] - ETA: 0s 155/167 [==========================>...] - ETA: 0s 157/167 [===========================>..] - ETA: 0s 159/167 [===========================>..] - ETA: 0s 161/167 [===========================>..] - ETA: 0s 163/167 [============================>.] - ETA: 0s 165/167 [============================>.] - ETA: 0s 167/167 [==============================] - ETA: 0s 167/167 [==============================] - 8s 48ms/step 1/167 [..............................] - ETA: 5s 3/167 [..............................] - ETA: 7s 5/167 [..............................] - ETA: 7s 7/167 [>.............................] - ETA: 7s 9/167 [>.............................] - ETA: 7s 11/167 [>.............................] - ETA: 7s 13/167 [=>............................] - ETA: 7s 15/167 [=>............................] - ETA: 7s 17/167 [==>...........................] - ETA: 7s 19/167 [==>...........................] - ETA: 7s 21/167 [==>...........................] - ETA: 7s 23/167 [===>..........................] - ETA: 6s 25/167 [===>..........................] - ETA: 6s 27/167 [===>..........................] - ETA: 6s 29/167 [====>.........................] - ETA: 6s 31/167 [====>.........................] - ETA: 6s 33/167 [====>.........................] - ETA: 6s 35/167 [=====>........................] - ETA: 6s 37/167 [=====>........................] - ETA: 6s 39/167 [======>.......................] - ETA: 6s 41/167 [======>.......................] - ETA: 6s 43/167 [======>.......................] - ETA: 5s 45/167 [=======>......................] - ETA: 5s 47/167 [=======>......................] - ETA: 5s 49/167 [=======>......................] - ETA: 5s 51/167 [========>.....................] - ETA: 5s 53/167 [========>.....................] - ETA: 5s 55/167 [========>.....................] - ETA: 5s 57/167 [=========>....................] - ETA: 5s 59/167 [=========>....................] - ETA: 5s 61/167 [=========>....................] - ETA: 5s 63/167 [==========>...................] - ETA: 4s 65/167 [==========>...................] - ETA: 4s 67/167 [===========>..................] - ETA: 4s 69/167 [===========>..................] - ETA: 4s 71/167 [===========>..................] - ETA: 4s 73/167 [============>.................] - ETA: 4s 75/167 [============>.................] - ETA: 4s 77/167 [============>.................] - ETA: 4s 79/167 [=============>................] - ETA: 4s 81/167 [=============>................] - ETA: 4s 83/167 [=============>................] - ETA: 4s 85/167 [==============>...............] - ETA: 3s 87/167 [==============>...............] - ETA: 3s 89/167 [==============>...............] - ETA: 3s 91/167 [===============>..............] - ETA: 3s 93/167 [===============>..............] - ETA: 3s 95/167 [================>.............] - ETA: 3s 97/167 [================>.............] - ETA: 3s 99/167 [================>.............] - ETA: 3s 101/167 [=================>............] - ETA: 3s 103/167 [=================>............] - ETA: 3s 105/167 [=================>............] - ETA: 2s 107/167 [==================>...........] - ETA: 2s 109/167 [==================>...........] - ETA: 2s 111/167 [==================>...........] - ETA: 2s 113/167 [===================>..........] - ETA: 2s 115/167 [===================>..........] - ETA: 2s 117/167 [====================>.........] - ETA: 2s 119/167 [====================>.........] - ETA: 2s 121/167 [====================>.........] - ETA: 2s 123/167 [=====================>........] - ETA: 2s 125/167 [=====================>........] - ETA: 2s 127/167 [=====================>........] - ETA: 1s 129/167 [======================>.......] - ETA: 1s 131/167 [======================>.......] - ETA: 1s 133/167 [======================>.......] - ETA: 1s 135/167 [=======================>......] - ETA: 1s 137/167 [=======================>......] - ETA: 1s 139/167 [=======================>......] - ETA: 1s 141/167 [========================>.....] - ETA: 1s 143/167 [========================>.....] - ETA: 1s 145/167 [=========================>....] - ETA: 1s 147/167 [=========================>....] - ETA: 0s 149/167 [=========================>....] - ETA: 0s 151/167 [==========================>...] - ETA: 0s 153/167 [==========================>...] - ETA: 0s 154/167 [==========================>...] - ETA: 0s 156/167 [===========================>..] - ETA: 0s 157/167 [===========================>..] - ETA: 0s 159/167 [===========================>..] - ETA: 0s 161/167 [===========================>..] - ETA: 0s 163/167 [============================>.] - ETA: 0s 165/167 [============================>.] - ETA: 0s 167/167 [==============================] - ETA: 0s 167/167 [==============================] - 8s 48ms/step inserting motif: tn5_3 CCTCTACACTGTGCAGAA 1/167 [..............................] - ETA: 6s 2/167 [..............................] - ETA: 8s 3/167 [..............................] - ETA: 8s 5/167 [..............................] - ETA: 7s 7/167 [>.............................] - ETA: 7s 8/167 [>.............................] - ETA: 7s 10/167 [>.............................] - ETA: 7s 12/167 [=>............................] - ETA: 7s 13/167 [=>............................] - ETA: 7s 14/167 [=>............................] - ETA: 7s 16/167 [=>............................] - ETA: 7s 18/167 [==>...........................] - ETA: 7s 20/167 [==>...........................] - ETA: 7s 22/167 [==>...........................] - ETA: 7s 24/167 [===>..........................] - ETA: 6s 25/167 [===>..........................] - ETA: 6s 27/167 [===>..........................] - ETA: 6s 29/167 [====>.........................] - ETA: 6s 31/167 [====>.........................] - ETA: 6s 33/167 [====>.........................] - ETA: 6s 35/167 [=====>........................] - ETA: 6s 37/167 [=====>........................] - ETA: 6s 39/167 [======>.......................] - ETA: 6s 41/167 [======>.......................] - ETA: 6s 43/167 [======>.......................] - ETA: 6s 45/167 [=======>......................] - ETA: 5s 46/167 [=======>......................] - ETA: 5s 48/167 [=======>......................] - ETA: 5s 50/167 [=======>......................] - ETA: 5s 52/167 [========>.....................] - ETA: 5s 54/167 [========>.....................] - ETA: 5s 55/167 [========>.....................] - ETA: 5s 57/167 [=========>....................] - ETA: 5s 59/167 [=========>....................] - ETA: 5s 60/167 [=========>....................] - ETA: 5s 62/167 [==========>...................] - ETA: 5s 63/167 [==========>...................] - ETA: 5s 65/167 [==========>...................] - ETA: 4s 66/167 [==========>...................] - ETA: 4s 68/167 [===========>..................] - ETA: 4s 70/167 [===========>..................] - ETA: 4s 72/167 [===========>..................] - ETA: 4s 74/167 [============>.................] - ETA: 4s 76/167 [============>.................] - ETA: 4s 78/167 [=============>................] - ETA: 4s 80/167 [=============>................] - ETA: 4s 82/167 [=============>................] - ETA: 4s 83/167 [=============>................] - ETA: 4s 85/167 [==============>...............] - ETA: 3s 86/167 [==============>...............] - ETA: 3s 88/167 [==============>...............] - ETA: 3s 89/167 [==============>...............] - ETA: 3s 90/167 [===============>..............] - ETA: 3s 92/167 [===============>..............] - ETA: 3s 93/167 [===============>..............] - ETA: 3s 95/167 [================>.............] - ETA: 3s 96/167 [================>.............] - ETA: 3s 98/167 [================>.............] - ETA: 3s 100/167 [================>.............] - ETA: 3s 102/167 [=================>............] - ETA: 3s 103/167 [=================>............] - ETA: 3s 105/167 [=================>............] - ETA: 3s 107/167 [==================>...........] - ETA: 2s 109/167 [==================>...........] - ETA: 2s 111/167 [==================>...........] - ETA: 2s 112/167 [===================>..........] - ETA: 2s 114/167 [===================>..........] - ETA: 2s 116/167 [===================>..........] - ETA: 2s 118/167 [====================>.........] - ETA: 2s 119/167 [====================>.........] - ETA: 2s 121/167 [====================>.........] - ETA: 2s 122/167 [====================>.........] - ETA: 2s 124/167 [=====================>........] - ETA: 2s 125/167 [=====================>........] - ETA: 2s 127/167 [=====================>........] - ETA: 1s 129/167 [======================>.......] - ETA: 1s 130/167 [======================>.......] - ETA: 1s 132/167 [======================>.......] - ETA: 1s 133/167 [======================>.......] - ETA: 1s 135/167 [=======================>......] - ETA: 1s 137/167 [=======================>......] - ETA: 1s 139/167 [=======================>......] - ETA: 1s 140/167 [========================>.....] - ETA: 1s 142/167 [========================>.....] - ETA: 1s 144/167 [========================>.....] - ETA: 1s 146/167 [=========================>....] - ETA: 1s 147/167 [=========================>....] - ETA: 0s 149/167 [=========================>....] - ETA: 0s 150/167 [=========================>....] - ETA: 0s 152/167 [==========================>...] - ETA: 0s 153/167 [==========================>...] - ETA: 0s 155/167 [==========================>...] - ETA: 0s 156/167 [===========================>..] - ETA: 0s 158/167 [===========================>..] - ETA: 0s 159/167 [===========================>..] - ETA: 0s 161/167 [===========================>..] - ETA: 0s 162/167 [============================>.] - ETA: 0s 164/167 [============================>.] - ETA: 0s 166/167 [============================>.] - ETA: 0s 167/167 [==============================] - ETA: 0s 167/167 [==============================] - 8s 49ms/step 1/167 [..............................] - ETA: 6s 3/167 [..............................] - ETA: 8s 5/167 [..............................] - ETA: 7s 6/167 [>.............................] - ETA: 7s 8/167 [>.............................] - ETA: 7s 10/167 [>.............................] - ETA: 7s 12/167 [=>............................] - ETA: 7s 13/167 [=>............................] - ETA: 7s 14/167 [=>............................] - ETA: 7s 16/167 [=>............................] - ETA: 7s 18/167 [==>...........................] - ETA: 7s 20/167 [==>...........................] - ETA: 7s 21/167 [==>...........................] - ETA: 7s 23/167 [===>..........................] - ETA: 6s 24/167 [===>..........................] - ETA: 6s 26/167 [===>..........................] - ETA: 6s 28/167 [====>.........................] - ETA: 6s 29/167 [====>.........................] - ETA: 6s 31/167 [====>.........................] - ETA: 6s 33/167 [====>.........................] - ETA: 6s 34/167 [=====>........................] - ETA: 6s 36/167 [=====>........................] - ETA: 6s 38/167 [=====>........................] - ETA: 6s 39/167 [======>.......................] - ETA: 6s 41/167 [======>.......................] - ETA: 6s 43/167 [======>.......................] - ETA: 6s 45/167 [=======>......................] - ETA: 5s 47/167 [=======>......................] - ETA: 5s 49/167 [=======>......................] - ETA: 5s 51/167 [========>.....................] - ETA: 5s 53/167 [========>.....................] - ETA: 5s 54/167 [========>.....................] - ETA: 5s 56/167 [=========>....................] - ETA: 5s 57/167 [=========>....................] - ETA: 5s 59/167 [=========>....................] - ETA: 5s 60/167 [=========>....................] - ETA: 5s 61/167 [=========>....................] - ETA: 5s 63/167 [==========>...................] - ETA: 5s 65/167 [==========>...................] - ETA: 4s 67/167 [===========>..................] - ETA: 4s 68/167 [===========>..................] - ETA: 4s 69/167 [===========>..................] - ETA: 4s 71/167 [===========>..................] - ETA: 4s 73/167 [============>.................] - ETA: 4s 75/167 [============>.................] - ETA: 4s 76/167 [============>.................] - ETA: 4s 77/167 [============>.................] - ETA: 4s 79/167 [=============>................] - ETA: 4s 80/167 [=============>................] - ETA: 4s 82/167 [=============>................] - ETA: 4s 84/167 [==============>...............] - ETA: 4s 86/167 [==============>...............] - ETA: 3s 88/167 [==============>...............] - ETA: 3s 90/167 [===============>..............] - ETA: 3s 92/167 [===============>..............] - ETA: 3s 94/167 [===============>..............] - ETA: 3s 96/167 [================>.............] - ETA: 3s 97/167 [================>.............] - ETA: 3s 99/167 [================>.............] - ETA: 3s 101/167 [=================>............] - ETA: 3s 103/167 [=================>............] - ETA: 3s 105/167 [=================>............] - ETA: 3s 107/167 [==================>...........] - ETA: 2s 108/167 [==================>...........] - ETA: 2s 110/167 [==================>...........] - ETA: 2s 112/167 [===================>..........] - ETA: 2s 114/167 [===================>..........] - ETA: 2s 116/167 [===================>..........] - ETA: 2s 118/167 [====================>.........] - ETA: 2s 120/167 [====================>.........] - ETA: 2s 122/167 [====================>.........] - ETA: 2s 124/167 [=====================>........] - ETA: 2s 126/167 [=====================>........] - ETA: 1s 128/167 [=====================>........] - ETA: 1s 130/167 [======================>.......] - ETA: 1s 132/167 [======================>.......] - ETA: 1s 134/167 [=======================>......] - ETA: 1s 135/167 [=======================>......] - ETA: 1s 137/167 [=======================>......] - ETA: 1s 138/167 [=======================>......] - ETA: 1s 140/167 [========================>.....] - ETA: 1s 142/167 [========================>.....] - ETA: 1s 144/167 [========================>.....] - ETA: 1s 146/167 [=========================>....] - ETA: 1s 147/167 [=========================>....] - ETA: 0s 149/167 [=========================>....] - ETA: 0s 151/167 [==========================>...] - ETA: 0s 152/167 [==========================>...] - ETA: 0s 154/167 [==========================>...] - ETA: 0s 156/167 [===========================>..] - ETA: 0s 158/167 [===========================>..] - ETA: 0s 160/167 [===========================>..] - ETA: 0s 161/167 [===========================>..] - ETA: 0s 163/167 [============================>.] - ETA: 0s 164/167 [============================>.] - ETA: 0s 166/167 [============================>.] - ETA: 0s 167/167 [==============================] - 8s 48ms/step inserting motif: tn5_4 GCACAGTTCTAGACTGTGCAG 1/167 [..............................] - ETA: 7s 2/167 [..............................] - ETA: 8s 4/167 [..............................] - ETA: 8s 6/167 [>.............................] - ETA: 7s 8/167 [>.............................] - ETA: 7s 9/167 [>.............................] - ETA: 7s 11/167 [>.............................] - ETA: 7s 13/167 [=>............................] - ETA: 7s 15/167 [=>............................] - ETA: 7s 17/167 [==>...........................] - ETA: 7s 19/167 [==>...........................] - ETA: 7s 21/167 [==>...........................] - ETA: 7s 23/167 [===>..........................] - ETA: 6s 25/167 [===>..........................] - ETA: 6s 27/167 [===>..........................] - ETA: 6s 29/167 [====>.........................] - ETA: 6s 30/167 [====>.........................] - ETA: 6s 32/167 [====>.........................] - ETA: 6s 34/167 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[=========================>....] - ETA: 0s 149/167 [=========================>....] - ETA: 0s 151/167 [==========================>...] - ETA: 0s 152/167 [==========================>...] - ETA: 0s 154/167 [==========================>...] - ETA: 0s 156/167 [===========================>..] - ETA: 0s 158/167 [===========================>..] - ETA: 0s 160/167 [===========================>..] - ETA: 0s 162/167 [============================>.] - ETA: 0s 164/167 [============================>.] - ETA: 0s 166/167 [============================>.] - ETA: 0s 167/167 [==============================] - ETA: 0s 167/167 [==============================] - 8s 48ms/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