Live Estimating enzyme shift in input file Current estimated shift: +4/-5 awk -v OFS="\t" '{if ($6=="+"){print $1,$2+0,$3,$4,$5,$6} else if ($6=="-") {print $1,$2,$3+1,$4,$5,$6}}' | sort -k1,1 | bedtools genomecov -bg -5 -i stdin -g /oak/stanford/groups/akundaje/soumyak/refs/hg38/GRCh38_EBV.chrom.sizes.tsv | LC_COLLATE="C" sort -k1,1 -k2,2n Making BedGraph (Filter chromosomes not in reference fasta) Making Bigwig non zero bigwig entries in the given chromosome: 170968 evaluating hyperparameters on the following chromosomes ['chr2', 'chr4', 'chr5', 'chr7', 'chr9', 'chr10', 'chr11', 'chr12', 'chr13', 'chr14', 'chr15', 'chr16', 'chr17', 'chr18', 'chr19', 'chr21', 'chr22', 'chrX', 'chrY', 'chr8', 'chr20'] Number of peaks input: 56023 Number of peaks filtered because the input/output is on the edge: 0 Number of peaks being used: 56023 Number of peaks input: 14777 Number of peaks filtered because the input/output is on the edge: 0 Number of peaks being used: 14777 Number of non peaks input: 112046 Number of non peaks filtered because the input/output is on the edge: 0 Number of non peaks being used: 112046 Number of non peaks input: 14777 Number of non peaks filtered because the input/output is on the edge: 0 Number of non peaks being used: 14777 Number of peaks after removing outliers: 56016 Number of nonpeaks after removing outliers: 51245 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 1/1602 [..............................] - ETA: 51:01 13/1602 [..............................] - ETA: 7s  25/1602 [..............................] - ETA: 7s 37/1602 [..............................] - ETA: 7s 49/1602 [..............................] - ETA: 6s 61/1602 [>.............................] - ETA: 6s 73/1602 [>.............................] - ETA: 6s 85/1602 [>.............................] - ETA: 6s 97/1602 [>.............................] - ETA: 6s 108/1602 [=>............................] - ETA: 6s 119/1602 [=>............................] - ETA: 6s 131/1602 [=>............................] - ETA: 6s 142/1602 [=>............................] - ETA: 6s 154/1602 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ETA: 0s 1500/1602 [===========================>..] - ETA: 0s 1512/1602 [===========================>..] - ETA: 0s 1524/1602 [===========================>..] - ETA: 0s 1536/1602 [===========================>..] - ETA: 0s 1548/1602 [===========================>..] - ETA: 0s 1560/1602 [============================>.] - ETA: 0s 1572/1602 [============================>.] - ETA: 0s 1584/1602 [============================>.] - ETA: 0s 1596/1602 [============================>.] - ETA: 0s 1602/1602 [==============================] - ETA: 0s 1602/1602 [==============================] - 9s 5ms/step got the model loading peaks... got split:test for bed regions:(14777, 10) 0/231 100/231 200/231 Bias model pearsonr performance in peaks is: -0.06 {'counts_loss_weight': '1.6', 'filters': '512', 'n_dil_layers': '8', 'bias_model_path': '/oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/ameen_2022/K562_bias/ameen_2022.vEC/fold_0/models/bias_model_scaled.h5', 'inputlen': '2114', 'outputlen': '1000', 'max_jitter': '500', 'chr_fold_path': '/oak/stanford/groups/akundaje/soumyak/refs/hg38/splits/fold_0.json', 'negative_sampling_ratio': '0.1'} got the model loading peaks... got split:train for bed regions:(51321, 10) loading nonpeaks... got split:train for bed regions:(46760, 10) loading peaks... got split:valid for bed regions:(4695, 10) loading nonpeaks... got split:valid for bed regions:(4485, 10) Epoch 1/50 1/883 [..............................] - ETA: 1:07:37 - loss: 104.7302 - logits_profile_predictions_loss: 99.6437 - logcount_predictions_loss: 3.1791 2/883 [..............................] - ETA: 2:16 - loss: 696.3639 - logits_profile_predictions_loss: 100.6701 - logcount_predictions_loss: 372.3087 3/883 [..............................] - ETA: 2:16 - loss: 498.5265 - logits_profile_predictions_loss: 99.7321 - logcount_predictions_loss: 249.2465  4/883 [..............................] - ETA: 2:16 - loss: 399.7179 - logits_profile_predictions_loss: 99.3229 - logcount_predictions_loss: 187.7469 5/883 [..............................] - ETA: 2:16 - loss: 337.3247 - logits_profile_predictions_loss: 96.1315 - logcount_predictions_loss: 150.7458 6/883 [..............................] - ETA: 2:15 - loss: 299.2717 - logits_profile_predictions_loss: 97.3564 - logcount_predictions_loss: 126.1970 7/883 [..............................] - ETA: 2:15 - loss: 270.8604 - logits_profile_predictions_loss: 97.0202 - logcount_predictions_loss: 108.6502 8/883 [..............................] - ETA: 2:14 - loss: 251.8842 - logits_profile_predictions_loss: 98.9324 - logcount_predictions_loss: 95.5949  9/883 [..............................] - ETA: 2:14 - loss: 237.4392 - logits_profile_predictions_loss: 100.7728 - logcount_predictions_loss: 85.4165 10/883 [..............................] - ETA: 2:14 - loss: 223.7261 - logits_profile_predictions_loss: 100.1415 - logcount_predictions_loss: 77.2403 11/883 [..............................] - ETA: 2:13 - loss: 214.2134 - logits_profile_predictions_loss: 101.2472 - logcount_predictions_loss: 70.6039 12/883 [..............................] - ETA: 2:13 - loss: 204.4693 - logits_profile_predictions_loss: 100.4910 - logcount_predictions_loss: 64.9864 13/883 [..............................] - ETA: 2:13 - loss: 198.7169 - logits_profile_predictions_loss: 102.1774 - logcount_predictions_loss: 60.3372 14/883 [..............................] - ETA: 2:13 - loss: 192.7751 - logits_profile_predictions_loss: 102.6617 - logcount_predictions_loss: 56.3209 15/883 [..............................] - ETA: 2:12 - loss: 188.2404 - logits_profile_predictions_loss: 103.6739 - logcount_predictions_loss: 52.8541 16/883 [..............................] - ETA: 2:12 - loss: 183.0269 - logits_profile_predictions_loss: 103.3926 - logcount_predictions_loss: 49.7714 17/883 [..............................] - ETA: 2:12 - loss: 178.9050 - logits_profile_predictions_loss: 103.5835 - logcount_predictions_loss: 47.0760 18/883 [..............................] - ETA: 2:12 - loss: 175.7889 - logits_profile_predictions_loss: 104.2657 - logcount_predictions_loss: 44.7020 19/883 [..............................] - ETA: 2:12 - loss: 172.2222 - logits_profile_predictions_loss: 104.1569 - logcount_predictions_loss: 42.5408 20/883 [..............................] - ETA: 2:11 - loss: 168.8280 - logits_profile_predictions_loss: 103.8864 - logcount_predictions_loss: 40.5885 21/883 [..............................] - ETA: 2:11 - loss: 165.4747 - logits_profile_predictions_loss: 103.3671 - logcount_predictions_loss: 38.8173 22/883 [..............................] - ETA: 2:12 - loss: 163.0849 - logits_profile_predictions_loss: 103.4996 - logcount_predictions_loss: 37.2408 23/883 [..............................] - ETA: 2:12 - loss: 160.0843 - logits_profile_predictions_loss: 102.8647 - logcount_predictions_loss: 35.7623 24/883 [..............................] - ETA: 2:12 - loss: 157.7439 - logits_profile_predictions_loss: 102.6685 - logcount_predictions_loss: 34.4221 25/883 [..............................] - ETA: 2:11 - loss: 155.6743 - logits_profile_predictions_loss: 102.5675 - logcount_predictions_loss: 33.1917 26/883 [..............................] - ETA: 2:11 - loss: 154.6005 - logits_profile_predictions_loss: 103.2768 - logcount_predictions_loss: 32.0773 27/883 [..............................] - ETA: 2:11 - loss: 153.1726 - logits_profile_predictions_loss: 103.5118 - logcount_predictions_loss: 31.0380 28/883 [..............................] - ETA: 2:11 - loss: 150.9727 - logits_profile_predictions_loss: 102.9113 - logcount_predictions_loss: 30.0384 29/883 [..............................] - ETA: 2:11 - loss: 149.5529 - logits_profile_predictions_loss: 102.9332 - logcount_predictions_loss: 29.1373 30/883 [>.............................] - ETA: 2:10 - loss: 148.1699 - logits_profile_predictions_loss: 102.9078 - logcount_predictions_loss: 28.2888 31/883 [>.............................] - ETA: 2:10 - loss: 146.1479 - logits_profile_predictions_loss: 102.1990 - logcount_predictions_loss: 27.4681 32/883 [>.............................] - ETA: 2:10 - loss: 144.6064 - logits_profile_predictions_loss: 101.8592 - logcount_predictions_loss: 26.7170 33/883 [>.............................] - ETA: 2:10 - loss: 143.4358 - logits_profile_predictions_loss: 101.8026 - logcount_predictions_loss: 26.0207 34/883 [>.............................] - ETA: 2:10 - loss: 142.3437 - logits_profile_predictions_loss: 101.7561 - logcount_predictions_loss: 25.3672 35/883 [>.............................] - ETA: 2:09 - loss: 141.1292 - logits_profile_predictions_loss: 101.5399 - logcount_predictions_loss: 24.7433 36/883 [>.............................] - ETA: 2:09 - loss: 140.1354 - logits_profile_predictions_loss: 101.4868 - logcount_predictions_loss: 24.1554 37/883 [>.............................] - ETA: 2:09 - loss: 138.6258 - logits_profile_predictions_loss: 100.8999 - logcount_predictions_loss: 23.5787 38/883 [>.............................] - ETA: 2:09 - loss: 137.3605 - logits_profile_predictions_loss: 100.4898 - logcount_predictions_loss: 23.0442 39/883 [>.............................] - ETA: 2:09 - loss: 136.5945 - logits_profile_predictions_loss: 100.5097 - logcount_predictions_loss: 22.5530 40/883 [>.............................] - ETA: 2:09 - loss: 136.1261 - logits_profile_predictions_loss: 100.7770 - logcount_predictions_loss: 22.0931 41/883 [>.............................] - ETA: 2:08 - loss: 134.8927 - logits_profile_predictions_loss: 100.2924 - logcount_predictions_loss: 21.6252 42/883 [>.............................] - ETA: 2:08 - loss: 133.6084 - logits_profile_predictions_loss: 99.7244 - logcount_predictions_loss: 21.1775  43/883 [>.............................] - ETA: 2:08 - loss: 132.4691 - logits_profile_predictions_loss: 99.2630 - logcount_predictions_loss: 20.7538 44/883 [>.............................] - ETA: 2:08 - loss: 132.1177 - logits_profile_predictions_loss: 99.5201 - logcount_predictions_loss: 20.3735 45/883 [>.............................] - ETA: 2:08 - loss: 131.3947 - logits_profile_predictions_loss: 99.4030 - logcount_predictions_loss: 19.9948 46/883 [>.............................] - ETA: 2:07 - loss: 130.8498 - logits_profile_predictions_loss: 99.4233 - logcount_predictions_loss: 19.6415 47/883 [>.............................] - ETA: 2:07 - loss: 130.2758 - logits_profile_predictions_loss: 99.3996 - logcount_predictions_loss: 19.2976 48/883 [>.............................] - ETA: 2:07 - loss: 129.9631 - logits_profile_predictions_loss: 99.5942 - logcount_predictions_loss: 18.9806 49/883 [>.............................] - ETA: 2:07 - loss: 129.4827 - logits_profile_predictions_loss: 99.6088 - logcount_predictions_loss: 18.6712 50/883 [>.............................] - ETA: 2:07 - loss: 128.8248 - logits_profile_predictions_loss: 99.4447 - logcount_predictions_loss: 18.3625 51/883 [>.............................] - ETA: 2:07 - loss: 128.1063 - logits_profile_predictions_loss: 99.2027 - logcount_predictions_loss: 18.0647 52/883 [>.............................] - ETA: 2:07 - loss: 127.3914 - logits_profile_predictions_loss: 98.9509 - logcount_predictions_loss: 17.7754 53/883 [>.............................] - ETA: 2:06 - loss: 126.5377 - logits_profile_predictions_loss: 98.5476 - logcount_predictions_loss: 17.4938 54/883 [>.............................] - ETA: 2:06 - loss: 126.0941 - logits_profile_predictions_loss: 98.5193 - logcount_predictions_loss: 17.2342 55/883 [>.............................] - ETA: 2:07 - loss: 125.4380 - logits_profile_predictions_loss: 98.2693 - logcount_predictions_loss: 16.9804 56/883 [>.............................] - ETA: 2:07 - loss: 124.8754 - logits_profile_predictions_loss: 98.0976 - logcount_predictions_loss: 16.7361 57/883 [>.............................] - ETA: 2:07 - loss: 124.5303 - logits_profile_predictions_loss: 98.1206 - logcount_predictions_loss: 16.5061 58/883 [>.............................] - ETA: 2:07 - loss: 123.8779 - logits_profile_predictions_loss: 97.8417 - logcount_predictions_loss: 16.2727 59/883 [=>............................] - ETA: 2:07 - loss: 123.7163 - logits_profile_predictions_loss: 98.0118 - logcount_predictions_loss: 16.0653 60/883 [=>............................] - ETA: 2:06 - loss: 123.2341 - logits_profile_predictions_loss: 97.8689 - logcount_predictions_loss: 15.8532 61/883 [=>............................] - ETA: 2:06 - loss: 122.7009 - logits_profile_predictions_loss: 97.6667 - logcount_predictions_loss: 15.6464 62/883 [=>............................] - ETA: 2:06 - loss: 122.7962 - logits_profile_predictions_loss: 98.0499 - logcount_predictions_loss: 15.4664 63/883 [=>............................] - ETA: 2:06 - loss: 122.6857 - logits_profile_predictions_loss: 98.2357 - logcount_predictions_loss: 15.2813 64/883 [=>............................] - ETA: 2:06 - loss: 122.1070 - logits_profile_predictions_loss: 97.9658 - logcount_predictions_loss: 15.0883 65/883 [=>............................] - ETA: 2:05 - loss: 121.7118 - logits_profile_predictions_loss: 97.8642 - logcount_predictions_loss: 14.9048 66/883 [=>............................] - ETA: 2:05 - loss: 121.4018 - logits_profile_predictions_loss: 97.8304 - logcount_predictions_loss: 14.7321 67/883 [=>............................] - ETA: 2:05 - loss: 121.5002 - logits_profile_predictions_loss: 98.1755 - logcount_predictions_loss: 14.5779 68/883 [=>............................] - ETA: 2:05 - loss: 121.5199 - logits_profile_predictions_loss: 98.4312 - logcount_predictions_loss: 14.4305 69/883 [=>............................] - ETA: 2:05 - loss: 121.2579 - logits_profile_predictions_loss: 98.4209 - logcount_predictions_loss: 14.2731 70/883 [=>............................] - ETA: 2:05 - loss: 121.2671 - logits_profile_predictions_loss: 98.6577 - logcount_predictions_loss: 14.1308 71/883 [=>............................] - ETA: 2:04 - loss: 121.1024 - logits_profile_predictions_loss: 98.7268 - logcount_predictions_loss: 13.9847 72/883 [=>............................] - ETA: 2:04 - loss: 120.6901 - logits_profile_predictions_loss: 98.5529 - logcount_predictions_loss: 13.8358 73/883 [=>............................] - ETA: 2:04 - loss: 120.5228 - logits_profile_predictions_loss: 98.6026 - logcount_predictions_loss: 13.7001 74/883 [=>............................] - ETA: 2:04 - loss: 120.1755 - logits_profile_predictions_loss: 98.4769 - logcount_predictions_loss: 13.5617 75/883 [=>............................] - ETA: 2:04 - loss: 119.9320 - logits_profile_predictions_loss: 98.4473 - logcount_predictions_loss: 13.4280 76/883 [=>............................] - ETA: 2:04 - loss: 119.5117 - logits_profile_predictions_loss: 98.2453 - logcount_predictions_loss: 13.2915 77/883 [=>............................] - ETA: 2:03 - loss: 119.3052 - logits_profile_predictions_loss: 98.2381 - logcount_predictions_loss: 13.1669 78/883 [=>............................] - ETA: 2:03 - loss: 119.0627 - logits_profile_predictions_loss: 98.1930 - logcount_predictions_loss: 13.0435 79/883 [=>............................] - ETA: 2:03 - loss: 118.8284 - logits_profile_predictions_loss: 98.1521 - logcount_predictions_loss: 12.9227 80/883 [=>............................] - ETA: 2:03 - loss: 118.4423 - logits_profile_predictions_loss: 97.9659 - logcount_predictions_loss: 12.7978 81/883 [=>............................] - ETA: 2:03 - loss: 118.2905 - logits_profile_predictions_loss: 97.9933 - logcount_predictions_loss: 12.6857 82/883 [=>............................] - ETA: 2:03 - loss: 118.2041 - logits_profile_predictions_loss: 98.0799 - logcount_predictions_loss: 12.5776 83/883 [=>............................] - ETA: 2:02 - loss: 117.6642 - logits_profile_predictions_loss: 97.7355 - logcount_predictions_loss: 12.4554 84/883 [=>............................] - ETA: 2:02 - loss: 117.3791 - 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[==>...........................] - ETA: 1:58 - loss: 114.9970 - logits_profile_predictions_loss: 98.5726 - logcount_predictions_loss: 10.2653 112/883 [==>...........................] - ETA: 1:58 - loss: 114.5929 - logits_profile_predictions_loss: 98.2836 - logcount_predictions_loss: 10.1933 113/883 [==>...........................] - ETA: 1:58 - loss: 114.3032 - logits_profile_predictions_loss: 98.1014 - logcount_predictions_loss: 10.1261 114/883 [==>...........................] - ETA: 1:57 - loss: 114.1385 - logits_profile_predictions_loss: 98.0323 - logcount_predictions_loss: 10.0664 115/883 [==>...........................] - ETA: 1:57 - loss: 113.8955 - logits_profile_predictions_loss: 97.8877 - logcount_predictions_loss: 10.0049 116/883 [==>...........................] - ETA: 1:57 - loss: 113.7839 - logits_profile_predictions_loss: 97.8640 - logcount_predictions_loss: 9.9499  117/883 [==>...........................] - ETA: 1:57 - loss: 113.6743 - logits_profile_predictions_loss: 97.8417 - logcount_predictions_loss: 9.8954 118/883 [===>..........................] - ETA: 1:57 - loss: 113.5349 - logits_profile_predictions_loss: 97.7902 - logcount_predictions_loss: 9.8404 119/883 [===>..........................] - ETA: 1:57 - loss: 113.3954 - logits_profile_predictions_loss: 97.7391 - logcount_predictions_loss: 9.7852 120/883 [===>..........................] - ETA: 1:56 - loss: 113.4567 - logits_profile_predictions_loss: 97.8739 - logcount_predictions_loss: 9.7393 121/883 [===>..........................] - ETA: 1:57 - loss: 113.3248 - logits_profile_predictions_loss: 97.8249 - logcount_predictions_loss: 9.6874 122/883 [===>..........................] - ETA: 1:56 - loss: 113.1530 - logits_profile_predictions_loss: 97.7382 - logcount_predictions_loss: 9.6342 123/883 [===>..........................] - ETA: 1:56 - loss: 113.0714 - logits_profile_predictions_loss: 97.7356 - logcount_predictions_loss: 9.5849 124/883 [===>..........................] - ETA: 1:56 - loss: 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[===>..........................] - ETA: 1:55 - loss: 112.3772 - logits_profile_predictions_loss: 97.6311 - logcount_predictions_loss: 9.2163 132/883 [===>..........................] - ETA: 1:55 - loss: 112.2454 - logits_profile_predictions_loss: 97.5701 - logcount_predictions_loss: 9.1721 133/883 [===>..........................] - ETA: 1:55 - loss: 112.2480 - logits_profile_predictions_loss: 97.6340 - logcount_predictions_loss: 9.1338 134/883 [===>..........................] - ETA: 1:54 - loss: 112.2204 - logits_profile_predictions_loss: 97.6707 - logcount_predictions_loss: 9.0936 135/883 [===>..........................] - ETA: 1:54 - loss: 111.9910 - logits_profile_predictions_loss: 97.5168 - logcount_predictions_loss: 9.0464 136/883 [===>..........................] - ETA: 1:54 - loss: 111.9960 - logits_profile_predictions_loss: 97.5817 - logcount_predictions_loss: 9.0090 137/883 [===>..........................] - ETA: 1:54 - loss: 111.9147 - logits_profile_predictions_loss: 97.5652 - 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logits_profile_predictions_loss: 96.9347 - logcount_predictions_loss: 8.6759 145/883 [===>..........................] - ETA: 1:53 - loss: 110.7661 - logits_profile_predictions_loss: 96.9391 - logcount_predictions_loss: 8.6419 146/883 [===>..........................] - ETA: 1:53 - loss: 110.7536 - logits_profile_predictions_loss: 96.9788 - logcount_predictions_loss: 8.6092 147/883 [===>..........................] - ETA: 1:52 - loss: 110.7103 - logits_profile_predictions_loss: 96.9920 - logcount_predictions_loss: 8.5739 148/883 [====>.........................] - ETA: 1:52 - loss: 110.6617 - logits_profile_predictions_loss: 96.9985 - logcount_predictions_loss: 8.5395 149/883 [====>.........................] - ETA: 1:52 - loss: 110.5633 - logits_profile_predictions_loss: 96.9572 - logcount_predictions_loss: 8.5038 150/883 [====>.........................] - ETA: 1:52 - loss: 110.5647 - logits_profile_predictions_loss: 97.0082 - logcount_predictions_loss: 8.4728 151/883 [====>.........................] - ETA: 1:52 - loss: 110.5637 - logits_profile_predictions_loss: 97.0561 - logcount_predictions_loss: 8.4422 152/883 [====>.........................] - ETA: 1:52 - loss: 110.6385 - logits_profile_predictions_loss: 97.1787 - logcount_predictions_loss: 8.4124 153/883 [====>.........................] - ETA: 1:51 - loss: 110.5825 - logits_profile_predictions_loss: 97.1762 - logcount_predictions_loss: 8.3789 154/883 [====>.........................] - ETA: 1:51 - loss: 110.4321 - logits_profile_predictions_loss: 97.0841 - logcount_predictions_loss: 8.3425 155/883 [====>.........................] - ETA: 1:51 - loss: 110.4030 - logits_profile_predictions_loss: 97.1049 - logcount_predictions_loss: 8.3113 156/883 [====>.........................] - ETA: 1:51 - loss: 110.3407 - logits_profile_predictions_loss: 97.0931 - logcount_predictions_loss: 8.2798 157/883 [====>.........................] - ETA: 1:51 - loss: 110.1747 - logits_profile_predictions_loss: 96.9852 - logcount_predictions_loss: 8.2434 158/883 [====>.........................] - ETA: 1:51 - loss: 110.0805 - logits_profile_predictions_loss: 96.9436 - logcount_predictions_loss: 8.2106 159/883 [====>.........................] - ETA: 1:51 - loss: 109.9997 - logits_profile_predictions_loss: 96.9128 - logcount_predictions_loss: 8.1794 160/883 [====>.........................] - ETA: 1:50 - loss: 109.9720 - logits_profile_predictions_loss: 96.9341 - logcount_predictions_loss: 8.1487 161/883 [====>.........................] - ETA: 1:50 - loss: 109.9617 - logits_profile_predictions_loss: 96.9711 - logcount_predictions_loss: 8.1191 162/883 [====>.........................] - ETA: 1:50 - loss: 110.0929 - logits_profile_predictions_loss: 97.1416 - logcount_predictions_loss: 8.0946 163/883 [====>.........................] - ETA: 1:50 - loss: 110.0018 - logits_profile_predictions_loss: 97.1018 - logcount_predictions_loss: 8.0626 164/883 [====>.........................] - ETA: 1:50 - loss: 109.8933 - logits_profile_predictions_loss: 97.0439 - logcount_predictions_loss: 8.0309 165/883 [====>.........................] - ETA: 1:50 - loss: 109.7906 - logits_profile_predictions_loss: 96.9912 - logcount_predictions_loss: 7.9996 166/883 [====>.........................] - ETA: 1:49 - loss: 109.6992 - logits_profile_predictions_loss: 96.9488 - logcount_predictions_loss: 7.9690 167/883 [====>.........................] - ETA: 1:49 - loss: 109.5266 - logits_profile_predictions_loss: 96.8301 - logcount_predictions_loss: 7.9353 168/883 [====>.........................] - ETA: 1:49 - loss: 109.3734 - logits_profile_predictions_loss: 96.7294 - logcount_predictions_loss: 7.9025 169/883 [====>.........................] - ETA: 1:49 - loss: 109.2845 - logits_profile_predictions_loss: 96.6891 - logcount_predictions_loss: 7.8721 170/883 [====>.........................] - ETA: 1:49 - loss: 109.1520 - logits_profile_predictions_loss: 96.6065 - logcount_predictions_loss: 7.8409 171/883 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logits_profile_predictions_loss: 96.7694 - logcount_predictions_loss: 7.4346 185/883 [=====>........................] - ETA: 1:47 - loss: 108.6209 - logits_profile_predictions_loss: 96.7750 - logcount_predictions_loss: 7.4037 186/883 [=====>........................] - ETA: 1:46 - loss: 108.5833 - logits_profile_predictions_loss: 96.7876 - logcount_predictions_loss: 7.3723 187/883 [=====>........................] - ETA: 1:46 - loss: 108.5048 - logits_profile_predictions_loss: 96.7591 - logcount_predictions_loss: 7.3410 188/883 [=====>........................] - ETA: 1:46 - loss: 108.5753 - logits_profile_predictions_loss: 96.8774 - logcount_predictions_loss: 7.3112 189/883 [=====>........................] - ETA: 1:46 - loss: 108.5569 - logits_profile_predictions_loss: 96.9059 - logcount_predictions_loss: 7.2819 190/883 [=====>........................] - ETA: 1:46 - loss: 108.5327 - logits_profile_predictions_loss: 96.9294 - logcount_predictions_loss: 7.2520 191/883 [=====>........................] - ETA: 1:46 - loss: 108.4838 - logits_profile_predictions_loss: 96.9280 - logcount_predictions_loss: 7.2224 192/883 [=====>........................] - ETA: 1:46 - loss: 108.4213 - logits_profile_predictions_loss: 96.9143 - logcount_predictions_loss: 7.1919 193/883 [=====>........................] - ETA: 1:45 - loss: 108.3392 - logits_profile_predictions_loss: 96.8810 - logcount_predictions_loss: 7.1614 194/883 [=====>........................] - ETA: 1:45 - loss: 108.2313 - logits_profile_predictions_loss: 96.8215 - logcount_predictions_loss: 7.1311 195/883 [=====>........................] - ETA: 1:45 - loss: 108.2946 - logits_profile_predictions_loss: 96.9314 - logcount_predictions_loss: 7.1020 196/883 [=====>........................] - ETA: 1:45 - loss: 108.2101 - logits_profile_predictions_loss: 96.8921 - logcount_predictions_loss: 7.0738 197/883 [=====>........................] - ETA: 1:45 - loss: 108.0559 - logits_profile_predictions_loss: 96.7843 - 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logits_profile_predictions_loss: 96.7374 - logcount_predictions_loss: 6.8483 205/883 [=====>........................] - ETA: 1:44 - loss: 107.6950 - logits_profile_predictions_loss: 96.7785 - logcount_predictions_loss: 6.8228 206/883 [=====>........................] - ETA: 1:43 - loss: 107.5390 - logits_profile_predictions_loss: 96.6656 - logcount_predictions_loss: 6.7959 207/883 [======>.......................] - ETA: 1:43 - loss: 107.5294 - logits_profile_predictions_loss: 96.6973 - logcount_predictions_loss: 6.7701 208/883 [======>.......................] - ETA: 1:43 - loss: 107.3588 - logits_profile_predictions_loss: 96.5727 - logcount_predictions_loss: 6.7413 209/883 [======>.......................] - ETA: 1:43 - loss: 107.3430 - logits_profile_predictions_loss: 96.5987 - logcount_predictions_loss: 6.7152 210/883 [======>.......................] - ETA: 1:43 - loss: 107.3334 - logits_profile_predictions_loss: 96.6275 - logcount_predictions_loss: 6.6912 211/883 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logits_profile_predictions_loss: 95.5004 - logcount_predictions_loss: 2.3761 880/883 [============================>.] - ETA: 0s - loss: 99.2884 - logits_profile_predictions_loss: 95.4894 - logcount_predictions_loss: 2.3743 881/883 [============================>.] - ETA: 0s - loss: 99.2729 - logits_profile_predictions_loss: 95.4768 - logcount_predictions_loss: 2.3725 882/883 [============================>.] - ETA: 0s - loss: 99.2459 - logits_profile_predictions_loss: 95.4526 - logcount_predictions_loss: 2.3708 883/883 [==============================] - ETA: 0s - loss: 99.2323 - logits_profile_predictions_loss: 95.4419 - logcount_predictions_loss: 2.3690 Epoch 1: val_loss improved from inf to 106.50198, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/ameen_2022/K562_bias/ameen_2022.vEC/fold_0/models/chrombpnet.h5  883/883 [==============================] - 148s 163ms/step - loss: 99.2323 - logits_profile_predictions_loss: 95.4419 - logcount_predictions_loss: 2.3690 - val_loss: 106.5020 - val_logits_profile_predictions_loss: 105.0777 - val_logcount_predictions_loss: 0.8902 Epoch 2/50 1/883 [..............................] - ETA: 2:26 - loss: 85.3925 - logits_profile_predictions_loss: 84.0414 - logcount_predictions_loss: 0.8444 2/883 [..............................] - ETA: 2:15 - loss: 83.8053 - logits_profile_predictions_loss: 82.5718 - logcount_predictions_loss: 0.7709 3/883 [..............................] - ETA: 2:15 - loss: 84.6084 - logits_profile_predictions_loss: 83.2713 - logcount_predictions_loss: 0.8357 4/883 [..............................] - ETA: 2:14 - loss: 90.5523 - logits_profile_predictions_loss: 89.1283 - logcount_predictions_loss: 0.8900 5/883 [..............................] - ETA: 2:14 - loss: 86.8341 - logits_profile_predictions_loss: 85.4262 - logcount_predictions_loss: 0.8799 6/883 [..............................] - ETA: 2:14 - loss: 86.3166 - logits_profile_predictions_loss: 84.9051 - logcount_predictions_loss: 0.8822 7/883 [..............................] - ETA: 2:14 - loss: 88.2637 - logits_profile_predictions_loss: 86.8367 - logcount_predictions_loss: 0.8919 8/883 [..............................] - ETA: 2:14 - loss: 88.7027 - logits_profile_predictions_loss: 87.3158 - logcount_predictions_loss: 0.8668 9/883 [..............................] - ETA: 2:14 - loss: 91.6535 - logits_profile_predictions_loss: 90.2521 - logcount_predictions_loss: 0.8758 10/883 [..............................] - ETA: 2:14 - loss: 91.9828 - logits_profile_predictions_loss: 90.6312 - logcount_predictions_loss: 0.8448 11/883 [..............................] - ETA: 2:14 - loss: 92.4418 - logits_profile_predictions_loss: 91.0689 - logcount_predictions_loss: 0.8581 12/883 [..............................] - ETA: 2:13 - loss: 91.5131 - logits_profile_predictions_loss: 90.1372 - logcount_predictions_loss: 0.8599 13/883 [..............................] - ETA: 2:13 - loss: 91.2858 - 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[..............................] - ETA: 2:11 - loss: 91.9650 - logits_profile_predictions_loss: 90.5975 - logcount_predictions_loss: 0.8546 28/883 [..............................] - ETA: 2:11 - loss: 92.0941 - logits_profile_predictions_loss: 90.7320 - logcount_predictions_loss: 0.8513 29/883 [..............................] - ETA: 2:11 - loss: 92.0507 - logits_profile_predictions_loss: 90.6816 - logcount_predictions_loss: 0.8557 30/883 [>.............................] - ETA: 2:11 - loss: 92.1672 - logits_profile_predictions_loss: 90.8076 - logcount_predictions_loss: 0.8497 31/883 [>.............................] - ETA: 2:11 - loss: 92.0997 - logits_profile_predictions_loss: 90.7387 - logcount_predictions_loss: 0.8506 32/883 [>.............................] - ETA: 2:11 - loss: 92.0119 - logits_profile_predictions_loss: 90.6530 - logcount_predictions_loss: 0.8493 33/883 [>.............................] - ETA: 2:10 - loss: 92.3641 - logits_profile_predictions_loss: 91.0060 - 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[>.............................] - ETA: 2:07 - loss: 93.8754 - logits_profile_predictions_loss: 92.5500 - logcount_predictions_loss: 0.8284 55/883 [>.............................] - ETA: 2:07 - loss: 93.9063 - logits_profile_predictions_loss: 92.5857 - logcount_predictions_loss: 0.8254 56/883 [>.............................] - ETA: 2:07 - loss: 93.8968 - logits_profile_predictions_loss: 92.5804 - logcount_predictions_loss: 0.8228 57/883 [>.............................] - ETA: 2:07 - loss: 93.4168 - logits_profile_predictions_loss: 92.1012 - logcount_predictions_loss: 0.8222 58/883 [>.............................] - ETA: 2:07 - loss: 93.5063 - logits_profile_predictions_loss: 92.1845 - logcount_predictions_loss: 0.8261 59/883 [=>............................] - ETA: 2:06 - loss: 93.5195 - logits_profile_predictions_loss: 92.1992 - logcount_predictions_loss: 0.8252 60/883 [=>............................] - ETA: 2:06 - loss: 93.6074 - logits_profile_predictions_loss: 92.2832 - 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[..............................] - ETA: 2:11 - loss: 93.3608 - logits_profile_predictions_loss: 92.1900 - logcount_predictions_loss: 0.7318 29/883 [..............................] - ETA: 2:11 - loss: 93.6553 - logits_profile_predictions_loss: 92.4747 - logcount_predictions_loss: 0.7379 30/883 [>.............................] - ETA: 2:11 - loss: 94.3648 - logits_profile_predictions_loss: 93.1787 - logcount_predictions_loss: 0.7413 31/883 [>.............................] - ETA: 2:11 - loss: 94.8005 - logits_profile_predictions_loss: 93.6195 - logcount_predictions_loss: 0.7382 32/883 [>.............................] - ETA: 2:10 - loss: 95.0793 - logits_profile_predictions_loss: 93.8954 - logcount_predictions_loss: 0.7400 33/883 [>.............................] - ETA: 2:10 - loss: 94.7611 - logits_profile_predictions_loss: 93.5737 - logcount_predictions_loss: 0.7421 34/883 [>.............................] - ETA: 2:10 - loss: 94.8450 - logits_profile_predictions_loss: 93.6609 - 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[=====>........................] - ETA: 1:48 - loss: 93.5373 - logits_profile_predictions_loss: 92.3730 - logcount_predictions_loss: 0.7277 183/883 [=====>........................] - ETA: 1:47 - loss: 93.4622 - logits_profile_predictions_loss: 92.2961 - logcount_predictions_loss: 0.7288 184/883 [=====>........................] - ETA: 1:47 - loss: 93.4497 - logits_profile_predictions_loss: 92.2823 - logcount_predictions_loss: 0.7297 185/883 [=====>........................] - ETA: 1:47 - loss: 93.4543 - logits_profile_predictions_loss: 92.2876 - logcount_predictions_loss: 0.7292 186/883 [=====>........................] - ETA: 1:47 - loss: 93.4064 - logits_profile_predictions_loss: 92.2407 - logcount_predictions_loss: 0.7286 187/883 [=====>........................] - ETA: 1:47 - loss: 93.4564 - logits_profile_predictions_loss: 92.2922 - logcount_predictions_loss: 0.7277 188/883 [=====>........................] - ETA: 1:47 - loss: 93.5254 - logits_profile_predictions_loss: 92.3623 - 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0s - loss: 92.0518 - logits_profile_predictions_loss: 90.9089 - logcount_predictions_loss: 0.7143 882/883 [============================>.] - ETA: 0s - loss: 92.0440 - logits_profile_predictions_loss: 90.9014 - logcount_predictions_loss: 0.7141 883/883 [==============================] - ETA: 0s - loss: 92.0533 - logits_profile_predictions_loss: 90.9110 - logcount_predictions_loss: 0.7140 Epoch 3: val_loss improved from 103.83805 to 103.13777, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/ameen_2022/K562_bias/ameen_2022.vEC/fold_0/models/chrombpnet.h5  883/883 [==============================] - 142s 161ms/step - loss: 92.0533 - logits_profile_predictions_loss: 90.9110 - logcount_predictions_loss: 0.7140 - val_loss: 103.1378 - val_logits_profile_predictions_loss: 102.1130 - val_logcount_predictions_loss: 0.6405 Epoch 4/50 1/883 [..............................] - ETA: 2:25 - loss: 76.8325 - logits_profile_predictions_loss: 75.7659 - logcount_predictions_loss: 0.6666 2/883 [..............................] - ETA: 2:14 - loss: 74.1723 - logits_profile_predictions_loss: 73.0232 - logcount_predictions_loss: 0.7182 3/883 [..............................] - ETA: 2:14 - loss: 74.1590 - logits_profile_predictions_loss: 73.0430 - logcount_predictions_loss: 0.6975 4/883 [..............................] - ETA: 2:14 - loss: 76.6978 - logits_profile_predictions_loss: 75.5862 - logcount_predictions_loss: 0.6948 5/883 [..............................] - ETA: 2:14 - loss: 77.8952 - logits_profile_predictions_loss: 76.8130 - logcount_predictions_loss: 0.6764 6/883 [..............................] - ETA: 2:14 - loss: 77.9139 - logits_profile_predictions_loss: 76.8287 - logcount_predictions_loss: 0.6782 7/883 [..............................] - ETA: 2:14 - loss: 79.3907 - logits_profile_predictions_loss: 78.2875 - logcount_predictions_loss: 0.6895 8/883 [..............................] - ETA: 2:14 - loss: 80.2003 - 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[..............................] - ETA: 2:12 - loss: 88.1375 - logits_profile_predictions_loss: 87.0261 - logcount_predictions_loss: 0.6946 23/883 [..............................] - ETA: 2:12 - loss: 88.0074 - logits_profile_predictions_loss: 86.9095 - logcount_predictions_loss: 0.6862 24/883 [..............................] - ETA: 2:12 - loss: 87.1888 - logits_profile_predictions_loss: 86.0772 - logcount_predictions_loss: 0.6948 25/883 [..............................] - ETA: 2:11 - loss: 86.8247 - logits_profile_predictions_loss: 85.7202 - logcount_predictions_loss: 0.6903 26/883 [..............................] - ETA: 2:11 - loss: 86.2224 - logits_profile_predictions_loss: 85.1320 - logcount_predictions_loss: 0.6815 27/883 [..............................] - ETA: 2:11 - loss: 85.8341 - logits_profile_predictions_loss: 84.7441 - logcount_predictions_loss: 0.6813 28/883 [..............................] - ETA: 2:11 - loss: 86.2316 - logits_profile_predictions_loss: 85.1101 - 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ETA: 2:09 - loss: 88.8630 - logits_profile_predictions_loss: 87.6556 - logcount_predictions_loss: 0.7546 43/883 [>.............................] - ETA: 2:09 - loss: 88.6971 - logits_profile_predictions_loss: 87.4992 - logcount_predictions_loss: 0.7487 44/883 [>.............................] - ETA: 2:09 - loss: 88.2694 - logits_profile_predictions_loss: 87.0752 - logcount_predictions_loss: 0.7464 45/883 [>.............................] - ETA: 2:08 - loss: 87.9706 - logits_profile_predictions_loss: 86.7749 - logcount_predictions_loss: 0.7473 46/883 [>.............................] - ETA: 2:08 - loss: 87.5812 - logits_profile_predictions_loss: 86.3871 - logcount_predictions_loss: 0.7463 47/883 [>.............................] - ETA: 2:08 - loss: 87.7676 - logits_profile_predictions_loss: 86.5656 - logcount_predictions_loss: 0.7512 48/883 [>.............................] - ETA: 2:08 - loss: 87.9101 - logits_profile_predictions_loss: 86.7031 - logcount_predictions_loss: 0.7544 49/883 [>.............................] - ETA: 2:08 - loss: 87.7377 - logits_profile_predictions_loss: 86.5325 - logcount_predictions_loss: 0.7532 50/883 [>.............................] - ETA: 2:08 - loss: 87.6731 - logits_profile_predictions_loss: 86.4673 - logcount_predictions_loss: 0.7536 51/883 [>.............................] - ETA: 2:07 - loss: 87.6087 - logits_profile_predictions_loss: 86.3963 - logcount_predictions_loss: 0.7578 52/883 [>.............................] - ETA: 2:07 - loss: 87.6362 - logits_profile_predictions_loss: 86.4232 - logcount_predictions_loss: 0.7581 53/883 [>.............................] - ETA: 2:07 - loss: 87.9036 - logits_profile_predictions_loss: 86.6923 - logcount_predictions_loss: 0.7571 54/883 [>.............................] - ETA: 2:07 - loss: 88.1010 - logits_profile_predictions_loss: 86.8843 - logcount_predictions_loss: 0.7604 55/883 [>.............................] - ETA: 2:07 - loss: 88.2817 - logits_profile_predictions_loss: 87.0703 - logcount_predictions_loss: 0.7571 56/883 [>.............................] - ETA: 2:07 - loss: 88.3305 - logits_profile_predictions_loss: 87.1210 - logcount_predictions_loss: 0.7559 57/883 [>.............................] - ETA: 2:07 - loss: 88.2868 - logits_profile_predictions_loss: 87.0800 - logcount_predictions_loss: 0.7543 58/883 [>.............................] - ETA: 2:06 - loss: 88.0732 - logits_profile_predictions_loss: 86.8678 - logcount_predictions_loss: 0.7534 59/883 [=>............................] - ETA: 2:06 - loss: 88.3559 - logits_profile_predictions_loss: 87.1463 - logcount_predictions_loss: 0.7560 60/883 [=>............................] - ETA: 2:06 - loss: 88.4149 - logits_profile_predictions_loss: 87.2036 - logcount_predictions_loss: 0.7570 61/883 [=>............................] - ETA: 2:06 - loss: 88.5296 - logits_profile_predictions_loss: 87.3208 - logcount_predictions_loss: 0.7555 62/883 [=>............................] - ETA: 2:06 - loss: 88.8925 - logits_profile_predictions_loss: 87.6867 - logcount_predictions_loss: 0.7536 63/883 [=>............................] - ETA: 2:06 - loss: 89.1559 - logits_profile_predictions_loss: 87.9547 - logcount_predictions_loss: 0.7508 64/883 [=>............................] - ETA: 2:06 - loss: 89.0931 - logits_profile_predictions_loss: 87.8889 - logcount_predictions_loss: 0.7526 65/883 [=>............................] - ETA: 2:05 - loss: 89.0914 - logits_profile_predictions_loss: 87.8903 - logcount_predictions_loss: 0.7506 66/883 [=>............................] - ETA: 2:05 - loss: 89.3766 - logits_profile_predictions_loss: 88.1767 - logcount_predictions_loss: 0.7500 67/883 [=>............................] - ETA: 2:05 - loss: 89.2919 - logits_profile_predictions_loss: 88.0888 - logcount_predictions_loss: 0.7519 68/883 [=>............................] - ETA: 2:05 - loss: 89.3538 - logits_profile_predictions_loss: 88.1540 - logcount_predictions_loss: 0.7499 69/883 [=>............................] - ETA: 2:05 - loss: 89.6372 - logits_profile_predictions_loss: 88.4418 - logcount_predictions_loss: 0.7471 70/883 [=>............................] - ETA: 2:05 - loss: 89.7446 - logits_profile_predictions_loss: 88.5516 - logcount_predictions_loss: 0.7456 71/883 [=>............................] - ETA: 2:05 - loss: 89.7371 - logits_profile_predictions_loss: 88.5465 - logcount_predictions_loss: 0.7441 72/883 [=>............................] - ETA: 2:04 - loss: 89.7769 - logits_profile_predictions_loss: 88.5903 - logcount_predictions_loss: 0.7416 73/883 [=>............................] - ETA: 2:04 - loss: 89.9199 - logits_profile_predictions_loss: 88.7329 - logcount_predictions_loss: 0.7418 74/883 [=>............................] - ETA: 2:04 - loss: 89.6323 - logits_profile_predictions_loss: 88.4516 - logcount_predictions_loss: 0.7379 75/883 [=>............................] - ETA: 2:04 - loss: 89.5686 - logits_profile_predictions_loss: 88.3936 - logcount_predictions_loss: 0.7343 76/883 [=>............................] - ETA: 2:04 - loss: 89.5754 - logits_profile_predictions_loss: 88.4037 - logcount_predictions_loss: 0.7323 77/883 [=>............................] - ETA: 2:04 - loss: 89.7173 - logits_profile_predictions_loss: 88.5467 - logcount_predictions_loss: 0.7316 78/883 [=>............................] - ETA: 2:04 - loss: 89.6894 - logits_profile_predictions_loss: 88.5229 - logcount_predictions_loss: 0.7291 79/883 [=>............................] - ETA: 2:04 - loss: 89.6166 - logits_profile_predictions_loss: 88.4479 - logcount_predictions_loss: 0.7304 80/883 [=>............................] - ETA: 2:03 - loss: 89.5116 - logits_profile_predictions_loss: 88.3492 - logcount_predictions_loss: 0.7265 81/883 [=>............................] - ETA: 2:03 - loss: 89.5858 - logits_profile_predictions_loss: 88.4207 - logcount_predictions_loss: 0.7282 82/883 [=>............................] - ETA: 2:03 - loss: 89.9190 - logits_profile_predictions_loss: 88.7531 - 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logits_profile_predictions_loss: 88.9543 - logcount_predictions_loss: 0.7374 90/883 [==>...........................] - ETA: 2:02 - loss: 90.3373 - logits_profile_predictions_loss: 89.1487 - logcount_predictions_loss: 0.7428 91/883 [==>...........................] - ETA: 2:02 - loss: 90.3513 - logits_profile_predictions_loss: 89.1658 - logcount_predictions_loss: 0.7409 92/883 [==>...........................] - ETA: 2:02 - loss: 90.4337 - logits_profile_predictions_loss: 89.2470 - logcount_predictions_loss: 0.7417 93/883 [==>...........................] - ETA: 2:01 - loss: 90.5294 - logits_profile_predictions_loss: 89.3417 - logcount_predictions_loss: 0.7423 94/883 [==>...........................] - ETA: 2:01 - loss: 90.4794 - logits_profile_predictions_loss: 89.2847 - logcount_predictions_loss: 0.7467 95/883 [==>...........................] - ETA: 2:01 - loss: 90.3828 - logits_profile_predictions_loss: 89.1900 - logcount_predictions_loss: 0.7455 96/883 [==>...........................] - ETA: 2:01 - loss: 90.5325 - logits_profile_predictions_loss: 89.3410 - logcount_predictions_loss: 0.7446 97/883 [==>...........................] - ETA: 2:01 - loss: 90.4291 - logits_profile_predictions_loss: 89.2393 - logcount_predictions_loss: 0.7436 98/883 [==>...........................] - ETA: 2:01 - loss: 90.3504 - logits_profile_predictions_loss: 89.1577 - logcount_predictions_loss: 0.7454 99/883 [==>...........................] - ETA: 2:00 - loss: 90.4298 - logits_profile_predictions_loss: 89.2341 - logcount_predictions_loss: 0.7473 100/883 [==>...........................] - ETA: 2:00 - loss: 90.3514 - logits_profile_predictions_loss: 89.1566 - logcount_predictions_loss: 0.7468 101/883 [==>...........................] - ETA: 2:00 - loss: 90.2876 - logits_profile_predictions_loss: 89.0966 - logcount_predictions_loss: 0.7444 102/883 [==>...........................] - ETA: 2:00 - loss: 90.3479 - logits_profile_predictions_loss: 89.1582 - logcount_predictions_loss: 0.7436 103/883 [==>...........................] - ETA: 2:00 - loss: 90.1352 - logits_profile_predictions_loss: 88.9482 - logcount_predictions_loss: 0.7418 104/883 [==>...........................] - ETA: 2:00 - loss: 90.0152 - logits_profile_predictions_loss: 88.8276 - logcount_predictions_loss: 0.7423 105/883 [==>...........................] - ETA: 1:59 - loss: 90.1687 - logits_profile_predictions_loss: 88.9767 - logcount_predictions_loss: 0.7450 106/883 [==>...........................] - ETA: 1:59 - loss: 90.1485 - logits_profile_predictions_loss: 88.9594 - logcount_predictions_loss: 0.7432 107/883 [==>...........................] - ETA: 1:59 - loss: 90.2305 - logits_profile_predictions_loss: 89.0393 - logcount_predictions_loss: 0.7445 108/883 [==>...........................] - ETA: 1:59 - loss: 90.2069 - logits_profile_predictions_loss: 89.0159 - logcount_predictions_loss: 0.7444 109/883 [==>...........................] - ETA: 1:59 - loss: 90.3187 - logits_profile_predictions_loss: 89.1269 - logcount_predictions_loss: 0.7448 110/883 [==>...........................] - ETA: 1:59 - loss: 90.1974 - logits_profile_predictions_loss: 89.0037 - logcount_predictions_loss: 0.7460 111/883 [==>...........................] - ETA: 1:59 - loss: 90.2236 - logits_profile_predictions_loss: 89.0295 - logcount_predictions_loss: 0.7463 112/883 [==>...........................] - ETA: 1:58 - loss: 90.3671 - logits_profile_predictions_loss: 89.1763 - logcount_predictions_loss: 0.7442 113/883 [==>...........................] - ETA: 1:58 - loss: 90.4367 - logits_profile_predictions_loss: 89.2510 - logcount_predictions_loss: 0.7411 114/883 [==>...........................] - ETA: 1:58 - loss: 90.3970 - logits_profile_predictions_loss: 89.2118 - logcount_predictions_loss: 0.7408 115/883 [==>...........................] - ETA: 1:58 - loss: 90.3385 - logits_profile_predictions_loss: 89.1568 - logcount_predictions_loss: 0.7386 116/883 [==>...........................] - ETA: 1:58 - loss: 90.3232 - logits_profile_predictions_loss: 89.1422 - logcount_predictions_loss: 0.7381 117/883 [==>...........................] - ETA: 1:58 - loss: 90.3194 - logits_profile_predictions_loss: 89.1375 - logcount_predictions_loss: 0.7387 118/883 [===>..........................] - ETA: 1:57 - loss: 90.2345 - logits_profile_predictions_loss: 89.0523 - logcount_predictions_loss: 0.7389 119/883 [===>..........................] - ETA: 1:57 - loss: 90.2551 - logits_profile_predictions_loss: 89.0731 - logcount_predictions_loss: 0.7387 120/883 [===>..........................] - ETA: 1:57 - loss: 90.1950 - logits_profile_predictions_loss: 89.0136 - logcount_predictions_loss: 0.7383 121/883 [===>..........................] - ETA: 1:57 - loss: 90.1758 - logits_profile_predictions_loss: 88.9951 - logcount_predictions_loss: 0.7379 122/883 [===>..........................] - ETA: 1:57 - loss: 90.2130 - logits_profile_predictions_loss: 89.0354 - logcount_predictions_loss: 0.7360 123/883 [===>..........................] - ETA: 1:57 - loss: 90.3429 - logits_profile_predictions_loss: 89.1665 - logcount_predictions_loss: 0.7353 124/883 [===>..........................] - ETA: 1:57 - loss: 90.3471 - logits_profile_predictions_loss: 89.1722 - logcount_predictions_loss: 0.7343 125/883 [===>..........................] - ETA: 1:56 - loss: 90.4234 - logits_profile_predictions_loss: 89.2514 - logcount_predictions_loss: 0.7325 126/883 [===>..........................] - ETA: 1:56 - loss: 90.4771 - logits_profile_predictions_loss: 89.3061 - logcount_predictions_loss: 0.7319 127/883 [===>..........................] - ETA: 1:56 - loss: 90.4412 - logits_profile_predictions_loss: 89.2706 - logcount_predictions_loss: 0.7316 128/883 [===>..........................] - ETA: 1:56 - loss: 90.4839 - logits_profile_predictions_loss: 89.3142 - logcount_predictions_loss: 0.7311 129/883 [===>..........................] - ETA: 1:56 - loss: 90.4123 - logits_profile_predictions_loss: 89.2453 - logcount_predictions_loss: 0.7294 130/883 [===>..........................] - ETA: 1:56 - loss: 90.3894 - logits_profile_predictions_loss: 89.2252 - logcount_predictions_loss: 0.7276 131/883 [===>..........................] - ETA: 1:55 - loss: 90.3468 - logits_profile_predictions_loss: 89.1849 - logcount_predictions_loss: 0.7261 132/883 [===>..........................] - ETA: 1:55 - loss: 90.2492 - logits_profile_predictions_loss: 89.0887 - logcount_predictions_loss: 0.7253 133/883 [===>..........................] - ETA: 1:55 - loss: 90.2034 - logits_profile_predictions_loss: 89.0435 - logcount_predictions_loss: 0.7249 134/883 [===>..........................] - ETA: 1:55 - loss: 90.2708 - logits_profile_predictions_loss: 89.1119 - logcount_predictions_loss: 0.7243 135/883 [===>..........................] - ETA: 1:55 - loss: 90.3397 - logits_profile_predictions_loss: 89.1822 - logcount_predictions_loss: 0.7234 136/883 [===>..........................] - ETA: 1:55 - loss: 90.2900 - logits_profile_predictions_loss: 89.1349 - logcount_predictions_loss: 0.7219 137/883 [===>..........................] - ETA: 1:55 - loss: 90.2773 - logits_profile_predictions_loss: 89.1211 - logcount_predictions_loss: 0.7226 138/883 [===>..........................] - ETA: 1:54 - loss: 90.2530 - logits_profile_predictions_loss: 89.0975 - logcount_predictions_loss: 0.7222 139/883 [===>..........................] - ETA: 1:54 - loss: 90.3925 - logits_profile_predictions_loss: 89.2383 - logcount_predictions_loss: 0.7214 140/883 [===>..........................] - ETA: 1:54 - loss: 90.2799 - logits_profile_predictions_loss: 89.1276 - logcount_predictions_loss: 0.7202 141/883 [===>..........................] - ETA: 1:54 - loss: 90.2605 - logits_profile_predictions_loss: 89.1090 - logcount_predictions_loss: 0.7197 142/883 [===>..........................] - ETA: 1:54 - loss: 90.2281 - logits_profile_predictions_loss: 89.0765 - logcount_predictions_loss: 0.7197 143/883 [===>..........................] - ETA: 1:54 - loss: 90.1320 - logits_profile_predictions_loss: 88.9793 - logcount_predictions_loss: 0.7204 144/883 [===>..........................] - ETA: 1:53 - loss: 90.1746 - logits_profile_predictions_loss: 89.0235 - logcount_predictions_loss: 0.7194 145/883 [===>..........................] - ETA: 1:53 - loss: 90.2297 - logits_profile_predictions_loss: 89.0805 - logcount_predictions_loss: 0.7182 146/883 [===>..........................] - ETA: 1:53 - loss: 90.1761 - logits_profile_predictions_loss: 89.0248 - logcount_predictions_loss: 0.7195 147/883 [===>..........................] - ETA: 1:53 - loss: 90.1650 - logits_profile_predictions_loss: 89.0161 - logcount_predictions_loss: 0.7180 148/883 [====>.........................] - ETA: 1:53 - loss: 90.2100 - logits_profile_predictions_loss: 89.0625 - logcount_predictions_loss: 0.7172 149/883 [====>.........................] - ETA: 1:53 - loss: 90.2510 - logits_profile_predictions_loss: 89.1026 - 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[====>.........................] - ETA: 1:51 - loss: 90.8038 - logits_profile_predictions_loss: 89.6599 - logcount_predictions_loss: 0.7149 164/883 [====>.........................] - ETA: 1:50 - loss: 90.7892 - logits_profile_predictions_loss: 89.6486 - logcount_predictions_loss: 0.7129 165/883 [====>.........................] - ETA: 1:50 - loss: 90.7779 - logits_profile_predictions_loss: 89.6381 - logcount_predictions_loss: 0.7124 166/883 [====>.........................] - ETA: 1:50 - loss: 90.7611 - logits_profile_predictions_loss: 89.6202 - logcount_predictions_loss: 0.7130 167/883 [====>.........................] - ETA: 1:50 - loss: 90.7221 - logits_profile_predictions_loss: 89.5825 - logcount_predictions_loss: 0.7122 168/883 [====>.........................] - ETA: 1:50 - loss: 90.8268 - logits_profile_predictions_loss: 89.6867 - logcount_predictions_loss: 0.7126 169/883 [====>.........................] - ETA: 1:50 - loss: 90.8039 - logits_profile_predictions_loss: 89.6636 - 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[..............................] - ETA: 2:12 - loss: 88.5784 - logits_profile_predictions_loss: 87.6544 - logcount_predictions_loss: 0.5775 24/883 [..............................] - ETA: 2:11 - loss: 88.7986 - logits_profile_predictions_loss: 87.8781 - logcount_predictions_loss: 0.5753 25/883 [..............................] - ETA: 2:11 - loss: 88.5537 - logits_profile_predictions_loss: 87.6342 - logcount_predictions_loss: 0.5747 26/883 [..............................] - ETA: 2:11 - loss: 88.7942 - logits_profile_predictions_loss: 87.8670 - logcount_predictions_loss: 0.5795 27/883 [..............................] - ETA: 2:11 - loss: 88.5676 - logits_profile_predictions_loss: 87.6257 - logcount_predictions_loss: 0.5887 28/883 [..............................] - ETA: 2:11 - loss: 88.2382 - logits_profile_predictions_loss: 87.2950 - logcount_predictions_loss: 0.5896 29/883 [..............................] - ETA: 2:11 - loss: 88.9189 - logits_profile_predictions_loss: 87.9628 - 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ETA: 2:05 - loss: 91.3274 - logits_profile_predictions_loss: 90.3128 - logcount_predictions_loss: 0.6342 71/883 [=>............................] - ETA: 2:04 - loss: 91.1259 - logits_profile_predictions_loss: 90.1135 - logcount_predictions_loss: 0.6328 72/883 [=>............................] - ETA: 2:04 - loss: 91.0600 - logits_profile_predictions_loss: 90.0509 - logcount_predictions_loss: 0.6307 73/883 [=>............................] - ETA: 2:04 - loss: 91.1226 - logits_profile_predictions_loss: 90.1143 - logcount_predictions_loss: 0.6302 74/883 [=>............................] - ETA: 2:04 - loss: 91.0257 - logits_profile_predictions_loss: 90.0190 - logcount_predictions_loss: 0.6292 75/883 [=>............................] - ETA: 2:04 - loss: 91.2477 - logits_profile_predictions_loss: 90.2406 - logcount_predictions_loss: 0.6295 76/883 [=>............................] - ETA: 2:04 - loss: 91.1713 - logits_profile_predictions_loss: 90.1647 - logcount_predictions_loss: 0.6292 77/883 [=>............................] - ETA: 2:04 - loss: 90.9561 - logits_profile_predictions_loss: 89.9518 - logcount_predictions_loss: 0.6277 78/883 [=>............................] - ETA: 2:03 - loss: 90.8977 - logits_profile_predictions_loss: 89.8939 - logcount_predictions_loss: 0.6274 79/883 [=>............................] - ETA: 2:03 - loss: 90.8073 - logits_profile_predictions_loss: 89.8042 - logcount_predictions_loss: 0.6270 80/883 [=>............................] - ETA: 2:03 - loss: 90.6153 - logits_profile_predictions_loss: 89.6131 - logcount_predictions_loss: 0.6265 81/883 [=>............................] - ETA: 2:03 - loss: 90.4904 - logits_profile_predictions_loss: 89.4888 - logcount_predictions_loss: 0.6261 82/883 [=>............................] - ETA: 2:03 - loss: 90.6585 - logits_profile_predictions_loss: 89.6562 - logcount_predictions_loss: 0.6264 83/883 [=>............................] - ETA: 2:03 - loss: 90.9171 - logits_profile_predictions_loss: 89.9132 - 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[==>...........................] - ETA: 1:59 - loss: 91.1374 - logits_profile_predictions_loss: 90.1427 - logcount_predictions_loss: 0.6217 105/883 [==>...........................] - ETA: 1:59 - loss: 91.1697 - logits_profile_predictions_loss: 90.1690 - logcount_predictions_loss: 0.6255 106/883 [==>...........................] - ETA: 1:59 - loss: 91.0691 - logits_profile_predictions_loss: 90.0705 - logcount_predictions_loss: 0.6241 107/883 [==>...........................] - ETA: 1:59 - loss: 91.0830 - logits_profile_predictions_loss: 90.0844 - logcount_predictions_loss: 0.6242 108/883 [==>...........................] - ETA: 1:59 - loss: 90.9993 - logits_profile_predictions_loss: 90.0016 - logcount_predictions_loss: 0.6235 109/883 [==>...........................] - ETA: 1:59 - loss: 91.0933 - logits_profile_predictions_loss: 90.0951 - logcount_predictions_loss: 0.6239 110/883 [==>...........................] - ETA: 1:59 - loss: 91.0210 - logits_profile_predictions_loss: 90.0205 - logcount_predictions_loss: 0.6253 111/883 [==>...........................] - ETA: 1:58 - loss: 91.0438 - logits_profile_predictions_loss: 90.0454 - logcount_predictions_loss: 0.6240 112/883 [==>...........................] - ETA: 1:58 - loss: 91.0156 - logits_profile_predictions_loss: 90.0167 - logcount_predictions_loss: 0.6243 113/883 [==>...........................] - ETA: 1:58 - loss: 91.1120 - logits_profile_predictions_loss: 90.1162 - logcount_predictions_loss: 0.6224 114/883 [==>...........................] - ETA: 1:58 - loss: 91.0774 - logits_profile_predictions_loss: 90.0829 - logcount_predictions_loss: 0.6216 115/883 [==>...........................] - ETA: 1:58 - loss: 91.1172 - logits_profile_predictions_loss: 90.1187 - logcount_predictions_loss: 0.6241 116/883 [==>...........................] - ETA: 1:58 - loss: 90.9596 - logits_profile_predictions_loss: 89.9614 - logcount_predictions_loss: 0.6239 117/883 [==>...........................] - ETA: 1:57 - loss: 90.8190 - logits_profile_predictions_loss: 89.8194 - logcount_predictions_loss: 0.6248 118/883 [===>..........................] - ETA: 1:57 - loss: 90.8343 - logits_profile_predictions_loss: 89.8347 - logcount_predictions_loss: 0.6248 119/883 [===>..........................] - ETA: 1:57 - loss: 90.8283 - logits_profile_predictions_loss: 89.8255 - logcount_predictions_loss: 0.6268 120/883 [===>..........................] - ETA: 1:57 - loss: 90.6596 - logits_profile_predictions_loss: 89.6572 - logcount_predictions_loss: 0.6265 121/883 [===>..........................] - ETA: 1:57 - loss: 90.7992 - logits_profile_predictions_loss: 89.7951 - logcount_predictions_loss: 0.6276 122/883 [===>..........................] - ETA: 1:57 - loss: 90.6590 - logits_profile_predictions_loss: 89.6533 - logcount_predictions_loss: 0.6286 123/883 [===>..........................] - ETA: 1:57 - loss: 90.7113 - logits_profile_predictions_loss: 89.7023 - logcount_predictions_loss: 0.6307 124/883 [===>..........................] - ETA: 1:56 - loss: 90.7142 - logits_profile_predictions_loss: 89.7027 - logcount_predictions_loss: 0.6322 125/883 [===>..........................] - ETA: 1:56 - loss: 90.6199 - logits_profile_predictions_loss: 89.6087 - logcount_predictions_loss: 0.6320 126/883 [===>..........................] - ETA: 1:56 - loss: 90.5199 - logits_profile_predictions_loss: 89.5109 - logcount_predictions_loss: 0.6306 127/883 [===>..........................] - ETA: 1:56 - loss: 90.5101 - logits_profile_predictions_loss: 89.5009 - logcount_predictions_loss: 0.6307 128/883 [===>..........................] - ETA: 1:56 - loss: 90.5454 - logits_profile_predictions_loss: 89.5351 - logcount_predictions_loss: 0.6315 129/883 [===>..........................] - ETA: 1:56 - loss: 90.4419 - logits_profile_predictions_loss: 89.4323 - logcount_predictions_loss: 0.6310 130/883 [===>..........................] - ETA: 1:55 - loss: 90.4690 - logits_profile_predictions_loss: 89.4603 - 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logits_profile_predictions_loss: 89.5634 - logcount_predictions_loss: 0.6384 138/883 [===>..........................] - ETA: 1:54 - loss: 90.4937 - logits_profile_predictions_loss: 89.4746 - logcount_predictions_loss: 0.6370 139/883 [===>..........................] - ETA: 1:54 - loss: 90.4414 - logits_profile_predictions_loss: 89.4223 - logcount_predictions_loss: 0.6370 140/883 [===>..........................] - ETA: 1:54 - loss: 90.4703 - logits_profile_predictions_loss: 89.4523 - logcount_predictions_loss: 0.6363 141/883 [===>..........................] - ETA: 1:54 - loss: 90.4590 - logits_profile_predictions_loss: 89.4424 - logcount_predictions_loss: 0.6354 142/883 [===>..........................] - ETA: 1:54 - loss: 90.3116 - logits_profile_predictions_loss: 89.2954 - logcount_predictions_loss: 0.6352 143/883 [===>..........................] - ETA: 1:53 - loss: 90.2165 - logits_profile_predictions_loss: 89.2028 - logcount_predictions_loss: 0.6336 144/883 [===>..........................] - ETA: 1:53 - loss: 90.1995 - logits_profile_predictions_loss: 89.1859 - logcount_predictions_loss: 0.6335 145/883 [===>..........................] - ETA: 1:53 - loss: 90.3076 - logits_profile_predictions_loss: 89.2954 - logcount_predictions_loss: 0.6327 146/883 [===>..........................] - ETA: 1:53 - loss: 90.3222 - logits_profile_predictions_loss: 89.3096 - logcount_predictions_loss: 0.6329 147/883 [===>..........................] - ETA: 1:53 - loss: 90.3445 - logits_profile_predictions_loss: 89.3297 - logcount_predictions_loss: 0.6343 148/883 [====>.........................] - ETA: 1:53 - loss: 90.4273 - logits_profile_predictions_loss: 89.4116 - logcount_predictions_loss: 0.6349 149/883 [====>.........................] - ETA: 1:53 - loss: 90.5111 - logits_profile_predictions_loss: 89.4939 - logcount_predictions_loss: 0.6358 150/883 [====>.........................] - ETA: 1:52 - loss: 90.4537 - logits_profile_predictions_loss: 89.4364 - 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[====>.........................] - ETA: 1:50 - loss: 90.3723 - logits_profile_predictions_loss: 89.3505 - logcount_predictions_loss: 0.6386 165/883 [====>.........................] - ETA: 1:50 - loss: 90.3935 - logits_profile_predictions_loss: 89.3704 - logcount_predictions_loss: 0.6395 166/883 [====>.........................] - ETA: 1:50 - loss: 90.4417 - logits_profile_predictions_loss: 89.4190 - logcount_predictions_loss: 0.6393 167/883 [====>.........................] - ETA: 1:50 - loss: 90.4306 - logits_profile_predictions_loss: 89.4093 - logcount_predictions_loss: 0.6384 168/883 [====>.........................] - ETA: 1:50 - loss: 90.4876 - logits_profile_predictions_loss: 89.4677 - logcount_predictions_loss: 0.6374 169/883 [====>.........................] - ETA: 1:50 - loss: 90.4246 - logits_profile_predictions_loss: 89.4051 - logcount_predictions_loss: 0.6372 170/883 [====>.........................] - ETA: 1:49 - loss: 90.3056 - logits_profile_predictions_loss: 89.2805 - 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0s - loss: 90.8558 - logits_profile_predictions_loss: 89.8354 - logcount_predictions_loss: 0.6377 Epoch 5: val_loss improved from 102.76893 to 102.71559, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/ameen_2022/K562_bias/ameen_2022.vEC/fold_0/models/chrombpnet.h5  883/883 [==============================] - 142s 161ms/step - loss: 90.8558 - logits_profile_predictions_loss: 89.8354 - logcount_predictions_loss: 0.6377 - val_loss: 102.7156 - val_logits_profile_predictions_loss: 101.7984 - val_logcount_predictions_loss: 0.5732 Epoch 6/50 1/883 [..............................] - ETA: 2:27 - loss: 101.6604 - logits_profile_predictions_loss: 100.6986 - logcount_predictions_loss: 0.6012 2/883 [..............................] - ETA: 2:14 - loss: 100.2726 - logits_profile_predictions_loss: 99.3300 - logcount_predictions_loss: 0.5892  3/883 [..............................] - ETA: 2:15 - loss: 93.3551 - logits_profile_predictions_loss: 92.3888 - 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[==>...........................] - ETA: 1:59 - loss: 88.0711 - logits_profile_predictions_loss: 87.1021 - logcount_predictions_loss: 0.6056 106/883 [==>...........................] - ETA: 1:59 - loss: 88.0195 - logits_profile_predictions_loss: 87.0498 - logcount_predictions_loss: 0.6060 107/883 [==>...........................] - ETA: 1:59 - loss: 87.9594 - logits_profile_predictions_loss: 86.9891 - logcount_predictions_loss: 0.6064 108/883 [==>...........................] - ETA: 1:59 - loss: 87.8305 - logits_profile_predictions_loss: 86.8605 - logcount_predictions_loss: 0.6063 109/883 [==>...........................] - ETA: 1:59 - loss: 87.7811 - logits_profile_predictions_loss: 86.8141 - logcount_predictions_loss: 0.6044 110/883 [==>...........................] - ETA: 1:59 - loss: 87.9723 - logits_profile_predictions_loss: 87.0038 - logcount_predictions_loss: 0.6053 111/883 [==>...........................] - ETA: 1:58 - loss: 87.9690 - logits_profile_predictions_loss: 87.0020 - 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[===>..........................] - ETA: 1:56 - loss: 88.1986 - logits_profile_predictions_loss: 87.2410 - logcount_predictions_loss: 0.5985 126/883 [===>..........................] - ETA: 1:56 - loss: 88.1582 - logits_profile_predictions_loss: 87.1994 - logcount_predictions_loss: 0.5993 127/883 [===>..........................] - ETA: 1:56 - loss: 88.0910 - logits_profile_predictions_loss: 87.1311 - logcount_predictions_loss: 0.5999 128/883 [===>..........................] - ETA: 1:56 - loss: 88.0807 - logits_profile_predictions_loss: 87.1206 - logcount_predictions_loss: 0.6001 129/883 [===>..........................] - ETA: 1:56 - loss: 88.1351 - logits_profile_predictions_loss: 87.1730 - logcount_predictions_loss: 0.6013 130/883 [===>..........................] - ETA: 1:55 - loss: 88.1540 - logits_profile_predictions_loss: 87.1918 - logcount_predictions_loss: 0.6014 131/883 [===>..........................] - ETA: 1:55 - loss: 88.0778 - logits_profile_predictions_loss: 87.1168 - 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[===>..........................] - ETA: 1:53 - loss: 88.3166 - logits_profile_predictions_loss: 87.3407 - logcount_predictions_loss: 0.6099 146/883 [===>..........................] - ETA: 1:53 - loss: 88.3957 - logits_profile_predictions_loss: 87.4189 - logcount_predictions_loss: 0.6105 147/883 [===>..........................] - ETA: 1:53 - loss: 88.3363 - logits_profile_predictions_loss: 87.3621 - logcount_predictions_loss: 0.6089 148/883 [====>.........................] - ETA: 1:53 - loss: 88.3311 - logits_profile_predictions_loss: 87.3583 - logcount_predictions_loss: 0.6080 149/883 [====>.........................] - ETA: 1:53 - loss: 88.3061 - logits_profile_predictions_loss: 87.3331 - logcount_predictions_loss: 0.6081 150/883 [====>.........................] - ETA: 1:53 - loss: 88.3334 - logits_profile_predictions_loss: 87.3588 - logcount_predictions_loss: 0.6092 151/883 [====>.........................] - ETA: 1:52 - loss: 88.4470 - logits_profile_predictions_loss: 87.4710 - 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[============================>.] - ETA: 3s - loss: 90.0097 - logits_profile_predictions_loss: 89.0446 - logcount_predictions_loss: 0.6031 864/883 [============================>.] - ETA: 2s - loss: 90.0217 - logits_profile_predictions_loss: 89.0567 - logcount_predictions_loss: 0.6031 865/883 [============================>.] - ETA: 2s - loss: 90.0127 - logits_profile_predictions_loss: 89.0472 - logcount_predictions_loss: 0.6033 866/883 [============================>.] - ETA: 2s - loss: 90.0333 - logits_profile_predictions_loss: 89.0677 - logcount_predictions_loss: 0.6034 867/883 [============================>.] - ETA: 2s - loss: 90.0500 - logits_profile_predictions_loss: 89.0841 - logcount_predictions_loss: 0.6036 868/883 [============================>.] - ETA: 2s - loss: 90.0228 - logits_profile_predictions_loss: 89.0573 - logcount_predictions_loss: 0.6034 869/883 [============================>.] - ETA: 2s - loss: 90.0014 - logits_profile_predictions_loss: 89.0360 - 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logits_profile_predictions_loss: 89.0200 - logcount_predictions_loss: 0.6047 878/883 [============================>.] - ETA: 0s - loss: 89.9853 - logits_profile_predictions_loss: 89.0173 - logcount_predictions_loss: 0.6050 879/883 [============================>.] - ETA: 0s - loss: 89.9954 - logits_profile_predictions_loss: 89.0269 - logcount_predictions_loss: 0.6053 880/883 [============================>.] - ETA: 0s - loss: 89.9976 - logits_profile_predictions_loss: 89.0291 - logcount_predictions_loss: 0.6053 881/883 [============================>.] - ETA: 0s - loss: 89.9922 - logits_profile_predictions_loss: 89.0234 - logcount_predictions_loss: 0.6055 882/883 [============================>.] - ETA: 0s - loss: 89.9847 - logits_profile_predictions_loss: 89.0155 - logcount_predictions_loss: 0.6057 883/883 [==============================] - ETA: 0s - loss: 89.9878 - logits_profile_predictions_loss: 89.0186 - logcount_predictions_loss: 0.6057 Epoch 6: val_loss did not improve from 102.71559  883/883 [==============================] - 142s 160ms/step - loss: 89.9878 - logits_profile_predictions_loss: 89.0186 - logcount_predictions_loss: 0.6057 - val_loss: 103.0505 - val_logits_profile_predictions_loss: 101.9892 - val_logcount_predictions_loss: 0.6633 Epoch 7/50 1/883 [..............................] - ETA: 2:25 - loss: 88.1662 - logits_profile_predictions_loss: 87.1356 - logcount_predictions_loss: 0.6441 2/883 [..............................] - ETA: 2:14 - loss: 86.4014 - logits_profile_predictions_loss: 85.2849 - logcount_predictions_loss: 0.6978 3/883 [..............................] - ETA: 2:14 - loss: 85.3556 - logits_profile_predictions_loss: 84.3077 - logcount_predictions_loss: 0.6549 4/883 [..............................] - ETA: 2:14 - loss: 88.7088 - logits_profile_predictions_loss: 87.6333 - logcount_predictions_loss: 0.6722 5/883 [..............................] - ETA: 2:14 - loss: 89.7315 - logits_profile_predictions_loss: 88.6958 - 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[..............................] - ETA: 2:13 - loss: 91.4060 - logits_profile_predictions_loss: 90.5338 - logcount_predictions_loss: 0.5451 27/883 [..............................] - ETA: 2:12 - loss: 91.3537 - logits_profile_predictions_loss: 90.4738 - logcount_predictions_loss: 0.5499 28/883 [..............................] - ETA: 2:12 - loss: 91.0568 - logits_profile_predictions_loss: 90.1696 - logcount_predictions_loss: 0.5545 29/883 [..............................] - ETA: 2:12 - loss: 91.2557 - logits_profile_predictions_loss: 90.3510 - logcount_predictions_loss: 0.5655 30/883 [>.............................] - ETA: 2:12 - loss: 91.3341 - logits_profile_predictions_loss: 90.4176 - logcount_predictions_loss: 0.5729 31/883 [>.............................] - ETA: 2:12 - loss: 91.3962 - logits_profile_predictions_loss: 90.4900 - logcount_predictions_loss: 0.5664 32/883 [>.............................] - ETA: 2:11 - loss: 91.5357 - logits_profile_predictions_loss: 90.6267 - 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- logcount_predictions_loss: 0.6061 114/883 [==>...........................] - ETA: 1:58 - loss: 90.6360 - logits_profile_predictions_loss: 89.6664 - logcount_predictions_loss: 0.6060 115/883 [==>...........................] - ETA: 1:58 - loss: 90.5189 - logits_profile_predictions_loss: 89.5486 - logcount_predictions_loss: 0.6065 116/883 [==>...........................] - ETA: 1:58 - loss: 90.6225 - logits_profile_predictions_loss: 89.6507 - logcount_predictions_loss: 0.6074 117/883 [==>...........................] - ETA: 1:58 - loss: 90.5614 - logits_profile_predictions_loss: 89.5904 - logcount_predictions_loss: 0.6069 118/883 [===>..........................] - ETA: 1:57 - loss: 90.4460 - logits_profile_predictions_loss: 89.4734 - logcount_predictions_loss: 0.6079 119/883 [===>..........................] - ETA: 1:57 - loss: 90.3945 - logits_profile_predictions_loss: 89.4250 - logcount_predictions_loss: 0.6060 120/883 [===>..........................] - ETA: 1:57 - loss: 90.2326 - 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logits_profile_predictions_loss: 88.4605 - logcount_predictions_loss: 0.6020 880/883 [============================>.] - ETA: 0s - loss: 89.4485 - logits_profile_predictions_loss: 88.4850 - logcount_predictions_loss: 0.6022 881/883 [============================>.] - ETA: 0s - loss: 89.4384 - logits_profile_predictions_loss: 88.4748 - logcount_predictions_loss: 0.6022 882/883 [============================>.] - ETA: 0s - loss: 89.4467 - logits_profile_predictions_loss: 88.4831 - logcount_predictions_loss: 0.6023 883/883 [==============================] - ETA: 0s - loss: 89.4546 - logits_profile_predictions_loss: 88.4910 - logcount_predictions_loss: 0.6023 Epoch 7: val_loss did not improve from 102.71559  883/883 [==============================] - 142s 160ms/step - loss: 89.4546 - logits_profile_predictions_loss: 88.4910 - logcount_predictions_loss: 0.6023 - val_loss: 102.8454 - val_logits_profile_predictions_loss: 101.9617 - val_logcount_predictions_loss: 0.5523 Epoch 8/50 1/883 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ETA: 2:13 - loss: 87.9219 - logits_profile_predictions_loss: 87.0522 - logcount_predictions_loss: 0.5436 22/883 [..............................] - ETA: 2:13 - loss: 89.0511 - logits_profile_predictions_loss: 88.1864 - logcount_predictions_loss: 0.5405 23/883 [..............................] - ETA: 2:13 - loss: 88.7495 - logits_profile_predictions_loss: 87.8811 - logcount_predictions_loss: 0.5428 24/883 [..............................] - ETA: 2:13 - loss: 87.7227 - logits_profile_predictions_loss: 86.8612 - logcount_predictions_loss: 0.5385 25/883 [..............................] - ETA: 2:12 - loss: 87.9815 - logits_profile_predictions_loss: 87.1221 - logcount_predictions_loss: 0.5371 26/883 [..............................] - ETA: 2:12 - loss: 87.8332 - logits_profile_predictions_loss: 86.9667 - logcount_predictions_loss: 0.5416 27/883 [..............................] - ETA: 2:12 - loss: 88.3946 - logits_profile_predictions_loss: 87.5222 - logcount_predictions_loss: 0.5453 28/883 [..............................] - ETA: 2:12 - loss: 87.6630 - logits_profile_predictions_loss: 86.7894 - logcount_predictions_loss: 0.5460 29/883 [..............................] - ETA: 2:12 - loss: 87.9522 - logits_profile_predictions_loss: 87.0636 - logcount_predictions_loss: 0.5554 30/883 [>.............................] - ETA: 2:11 - loss: 87.5715 - logits_profile_predictions_loss: 86.6885 - logcount_predictions_loss: 0.5519 31/883 [>.............................] - ETA: 2:11 - loss: 87.4060 - logits_profile_predictions_loss: 86.5230 - logcount_predictions_loss: 0.5519 32/883 [>.............................] - ETA: 2:11 - loss: 87.5097 - logits_profile_predictions_loss: 86.6277 - logcount_predictions_loss: 0.5512 33/883 [>.............................] - ETA: 2:11 - loss: 87.8221 - logits_profile_predictions_loss: 86.9427 - logcount_predictions_loss: 0.5496 34/883 [>.............................] - ETA: 2:11 - loss: 87.9067 - logits_profile_predictions_loss: 87.0226 - 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[>.............................] - ETA: 2:07 - loss: 87.8791 - logits_profile_predictions_loss: 86.9419 - logcount_predictions_loss: 0.5857 56/883 [>.............................] - ETA: 2:07 - loss: 87.9128 - logits_profile_predictions_loss: 86.9767 - logcount_predictions_loss: 0.5850 57/883 [>.............................] - ETA: 2:07 - loss: 87.7098 - logits_profile_predictions_loss: 86.7745 - logcount_predictions_loss: 0.5845 58/883 [>.............................] - ETA: 2:07 - loss: 87.7797 - logits_profile_predictions_loss: 86.8446 - logcount_predictions_loss: 0.5844 59/883 [=>............................] - ETA: 2:07 - loss: 87.6105 - logits_profile_predictions_loss: 86.6775 - logcount_predictions_loss: 0.5831 60/883 [=>............................] - ETA: 2:06 - loss: 88.0662 - logits_profile_predictions_loss: 87.1333 - logcount_predictions_loss: 0.5831 61/883 [=>............................] - ETA: 2:06 - loss: 88.3718 - logits_profile_predictions_loss: 87.4399 - 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logits_profile_predictions_loss: 87.7445 - logcount_predictions_loss: 0.5971 69/883 [=>............................] - ETA: 2:05 - loss: 88.7944 - logits_profile_predictions_loss: 87.8358 - logcount_predictions_loss: 0.5991 70/883 [=>............................] - ETA: 2:05 - loss: 88.7596 - logits_profile_predictions_loss: 87.7906 - logcount_predictions_loss: 0.6056 71/883 [=>............................] - ETA: 2:05 - loss: 88.5816 - logits_profile_predictions_loss: 87.6146 - logcount_predictions_loss: 0.6043 72/883 [=>............................] - ETA: 2:05 - loss: 88.6893 - logits_profile_predictions_loss: 87.7158 - logcount_predictions_loss: 0.6084 73/883 [=>............................] - ETA: 2:04 - loss: 88.5681 - logits_profile_predictions_loss: 87.5907 - logcount_predictions_loss: 0.6108 74/883 [=>............................] - ETA: 2:04 - loss: 88.7723 - logits_profile_predictions_loss: 87.7876 - logcount_predictions_loss: 0.6154 75/883 [=>............................] - 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[=>............................] - ETA: 2:03 - loss: 89.2498 - logits_profile_predictions_loss: 88.2395 - logcount_predictions_loss: 0.6314 83/883 [=>............................] - ETA: 2:03 - loss: 89.4188 - logits_profile_predictions_loss: 88.4114 - logcount_predictions_loss: 0.6296 84/883 [=>............................] - ETA: 2:03 - loss: 89.4555 - logits_profile_predictions_loss: 88.4516 - logcount_predictions_loss: 0.6274 85/883 [=>............................] - ETA: 2:03 - loss: 89.5599 - logits_profile_predictions_loss: 88.5504 - logcount_predictions_loss: 0.6309 86/883 [=>............................] - ETA: 2:02 - loss: 89.5494 - logits_profile_predictions_loss: 88.5380 - logcount_predictions_loss: 0.6321 87/883 [=>............................] - ETA: 2:02 - loss: 89.4462 - logits_profile_predictions_loss: 88.4366 - logcount_predictions_loss: 0.6310 88/883 [=>............................] - ETA: 2:02 - loss: 89.3536 - logits_profile_predictions_loss: 88.3428 - 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[==>...........................] - ETA: 2:00 - loss: 89.2527 - logits_profile_predictions_loss: 88.2312 - logcount_predictions_loss: 0.6384 103/883 [==>...........................] - ETA: 2:00 - loss: 89.2533 - logits_profile_predictions_loss: 88.2302 - logcount_predictions_loss: 0.6394 104/883 [==>...........................] - ETA: 2:00 - loss: 89.2430 - logits_profile_predictions_loss: 88.2214 - logcount_predictions_loss: 0.6385 105/883 [==>...........................] - ETA: 2:00 - loss: 89.3011 - logits_profile_predictions_loss: 88.2778 - logcount_predictions_loss: 0.6396 106/883 [==>...........................] - ETA: 1:59 - loss: 89.4403 - logits_profile_predictions_loss: 88.4181 - logcount_predictions_loss: 0.6389 107/883 [==>...........................] - ETA: 1:59 - loss: 89.2460 - logits_profile_predictions_loss: 88.2257 - logcount_predictions_loss: 0.6377 108/883 [==>...........................] - ETA: 1:59 - loss: 89.2204 - logits_profile_predictions_loss: 88.2026 - 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logits_profile_predictions_loss: 88.2501 - logcount_predictions_loss: 0.6352 116/883 [==>...........................] - ETA: 1:58 - loss: 89.2257 - logits_profile_predictions_loss: 88.2135 - logcount_predictions_loss: 0.6326 117/883 [==>...........................] - ETA: 1:58 - loss: 89.1191 - logits_profile_predictions_loss: 88.1079 - logcount_predictions_loss: 0.6320 118/883 [===>..........................] - ETA: 1:57 - loss: 89.0653 - logits_profile_predictions_loss: 88.0534 - logcount_predictions_loss: 0.6325 119/883 [===>..........................] - ETA: 1:57 - loss: 89.0979 - logits_profile_predictions_loss: 88.0872 - logcount_predictions_loss: 0.6316 120/883 [===>..........................] - ETA: 1:57 - loss: 89.0825 - logits_profile_predictions_loss: 88.0736 - logcount_predictions_loss: 0.6305 121/883 [===>..........................] - ETA: 1:57 - loss: 88.9001 - logits_profile_predictions_loss: 87.8929 - logcount_predictions_loss: 0.6295 122/883 [===>..........................] - ETA: 1:57 - loss: 88.7967 - logits_profile_predictions_loss: 87.7896 - logcount_predictions_loss: 0.6294 123/883 [===>..........................] - ETA: 1:57 - loss: 88.7809 - logits_profile_predictions_loss: 87.7737 - logcount_predictions_loss: 0.6295 124/883 [===>..........................] - ETA: 1:57 - loss: 88.8947 - logits_profile_predictions_loss: 87.8900 - logcount_predictions_loss: 0.6279 125/883 [===>..........................] - ETA: 1:56 - loss: 88.9654 - logits_profile_predictions_loss: 87.9614 - logcount_predictions_loss: 0.6275 126/883 [===>..........................] - ETA: 1:56 - loss: 88.9306 - logits_profile_predictions_loss: 87.9271 - logcount_predictions_loss: 0.6272 127/883 [===>..........................] - ETA: 1:56 - loss: 88.8677 - logits_profile_predictions_loss: 87.8658 - logcount_predictions_loss: 0.6262 128/883 [===>..........................] - ETA: 1:56 - loss: 88.9414 - logits_profile_predictions_loss: 87.9378 - 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logits_profile_predictions_loss: 87.6251 - logcount_predictions_loss: 0.5931 875/883 [============================>.] - ETA: 1s - loss: 88.5682 - logits_profile_predictions_loss: 87.6194 - logcount_predictions_loss: 0.5929 876/883 [============================>.] - ETA: 1s - loss: 88.5642 - logits_profile_predictions_loss: 87.6156 - logcount_predictions_loss: 0.5928 877/883 [============================>.] - ETA: 0s - loss: 88.5714 - logits_profile_predictions_loss: 87.6229 - logcount_predictions_loss: 0.5927 878/883 [============================>.] - ETA: 0s - loss: 88.5639 - logits_profile_predictions_loss: 87.6157 - logcount_predictions_loss: 0.5926 879/883 [============================>.] - ETA: 0s - loss: 88.5661 - logits_profile_predictions_loss: 87.6180 - logcount_predictions_loss: 0.5925 880/883 [============================>.] - ETA: 0s - loss: 88.5775 - logits_profile_predictions_loss: 87.6296 - logcount_predictions_loss: 0.5924 881/883 [============================>.] - ETA: 0s - loss: 88.5984 - logits_profile_predictions_loss: 87.6506 - logcount_predictions_loss: 0.5923 882/883 [============================>.] - ETA: 0s - loss: 88.5829 - logits_profile_predictions_loss: 87.6353 - logcount_predictions_loss: 0.5922 883/883 [==============================] - ETA: 0s - loss: 88.5714 - logits_profile_predictions_loss: 87.6241 - logcount_predictions_loss: 0.5920 Epoch 8: val_loss did not improve from 102.71559  883/883 [==============================] - 142s 161ms/step - loss: 88.5714 - logits_profile_predictions_loss: 87.6241 - logcount_predictions_loss: 0.5920 - val_loss: 103.2370 - val_logits_profile_predictions_loss: 102.3391 - val_logcount_predictions_loss: 0.5611 Epoch 9/50 1/883 [..............................] - ETA: 2:26 - loss: 94.3229 - logits_profile_predictions_loss: 93.3634 - logcount_predictions_loss: 0.5997 2/883 [..............................] - ETA: 2:14 - loss: 91.8413 - logits_profile_predictions_loss: 90.9621 - logcount_predictions_loss: 0.5495 3/883 [..............................] - ETA: 2:14 - loss: 89.9850 - logits_profile_predictions_loss: 89.1240 - logcount_predictions_loss: 0.5381 4/883 [..............................] - ETA: 2:14 - loss: 85.9236 - logits_profile_predictions_loss: 85.0914 - logcount_predictions_loss: 0.5201 5/883 [..............................] - ETA: 2:14 - loss: 90.2242 - logits_profile_predictions_loss: 89.3550 - logcount_predictions_loss: 0.5432 6/883 [..............................] - ETA: 2:14 - loss: 88.3049 - logits_profile_predictions_loss: 87.3895 - logcount_predictions_loss: 0.5721 7/883 [..............................] - ETA: 2:14 - loss: 88.1849 - logits_profile_predictions_loss: 87.2798 - logcount_predictions_loss: 0.5657 8/883 [..............................] - ETA: 2:14 - loss: 86.3080 - logits_profile_predictions_loss: 85.4047 - logcount_predictions_loss: 0.5645 9/883 [..............................] - ETA: 2:14 - loss: 86.9822 - logits_profile_predictions_loss: 86.0790 - logcount_predictions_loss: 0.5645 10/883 [..............................] - ETA: 2:14 - loss: 86.1801 - logits_profile_predictions_loss: 85.2833 - logcount_predictions_loss: 0.5605 11/883 [..............................] - ETA: 2:13 - loss: 86.6897 - logits_profile_predictions_loss: 85.7876 - logcount_predictions_loss: 0.5638 12/883 [..............................] - ETA: 2:13 - loss: 85.7816 - logits_profile_predictions_loss: 84.8870 - logcount_predictions_loss: 0.5591 13/883 [..............................] - ETA: 2:13 - loss: 85.7811 - logits_profile_predictions_loss: 84.8930 - logcount_predictions_loss: 0.5551 14/883 [..............................] - ETA: 2:13 - loss: 85.4466 - logits_profile_predictions_loss: 84.5638 - logcount_predictions_loss: 0.5517 15/883 [..............................] - ETA: 2:13 - loss: 85.5181 - logits_profile_predictions_loss: 84.6296 - logcount_predictions_loss: 0.5553 16/883 [..............................] - ETA: 2:13 - loss: 86.1883 - logits_profile_predictions_loss: 85.3066 - logcount_predictions_loss: 0.5511 17/883 [..............................] - ETA: 2:13 - loss: 86.2042 - logits_profile_predictions_loss: 85.3325 - logcount_predictions_loss: 0.5448 18/883 [..............................] - ETA: 2:12 - loss: 86.2756 - logits_profile_predictions_loss: 85.4174 - logcount_predictions_loss: 0.5364 19/883 [..............................] - ETA: 2:12 - loss: 85.9608 - logits_profile_predictions_loss: 85.0887 - logcount_predictions_loss: 0.5450 20/883 [..............................] - ETA: 2:12 - loss: 86.1872 - logits_profile_predictions_loss: 85.3073 - logcount_predictions_loss: 0.5500 21/883 [..............................] - ETA: 2:12 - loss: 86.1277 - logits_profile_predictions_loss: 85.2540 - logcount_predictions_loss: 0.5461 22/883 [..............................] - ETA: 2:12 - loss: 86.4324 - logits_profile_predictions_loss: 85.5533 - logcount_predictions_loss: 0.5495 23/883 [..............................] - ETA: 2:12 - loss: 85.4094 - logits_profile_predictions_loss: 84.5200 - logcount_predictions_loss: 0.5558 24/883 [..............................] - ETA: 2:12 - loss: 84.8796 - logits_profile_predictions_loss: 83.9955 - logcount_predictions_loss: 0.5525 25/883 [..............................] - ETA: 2:12 - loss: 84.8998 - logits_profile_predictions_loss: 84.0145 - logcount_predictions_loss: 0.5533 26/883 [..............................] - ETA: 2:11 - loss: 85.6011 - logits_profile_predictions_loss: 84.7033 - logcount_predictions_loss: 0.5611 27/883 [..............................] - ETA: 2:11 - loss: 85.4657 - logits_profile_predictions_loss: 84.5629 - logcount_predictions_loss: 0.5643 28/883 [..............................] - ETA: 2:11 - loss: 85.8750 - logits_profile_predictions_loss: 84.9627 - logcount_predictions_loss: 0.5702 29/883 [..............................] - ETA: 2:11 - loss: 85.9754 - logits_profile_predictions_loss: 85.0686 - logcount_predictions_loss: 0.5668 30/883 [>.............................] - ETA: 2:11 - loss: 86.0989 - logits_profile_predictions_loss: 85.1882 - logcount_predictions_loss: 0.5692 31/883 [>.............................] - ETA: 2:11 - loss: 86.2413 - logits_profile_predictions_loss: 85.3303 - logcount_predictions_loss: 0.5694 32/883 [>.............................] - ETA: 2:10 - loss: 86.2343 - logits_profile_predictions_loss: 85.3263 - logcount_predictions_loss: 0.5675 33/883 [>.............................] - ETA: 2:10 - loss: 86.1531 - logits_profile_predictions_loss: 85.2509 - logcount_predictions_loss: 0.5639 34/883 [>.............................] - ETA: 2:10 - loss: 85.9550 - logits_profile_predictions_loss: 85.0468 - logcount_predictions_loss: 0.5676 35/883 [>.............................] - ETA: 2:10 - loss: 85.9098 - logits_profile_predictions_loss: 85.0115 - logcount_predictions_loss: 0.5614 36/883 [>.............................] - ETA: 2:10 - loss: 85.9719 - logits_profile_predictions_loss: 85.0748 - logcount_predictions_loss: 0.5607 37/883 [>.............................] - ETA: 2:10 - loss: 85.6295 - logits_profile_predictions_loss: 84.7213 - logcount_predictions_loss: 0.5677 38/883 [>.............................] - ETA: 2:10 - loss: 85.9059 - logits_profile_predictions_loss: 84.9996 - logcount_predictions_loss: 0.5665 39/883 [>.............................] - ETA: 2:09 - loss: 85.7989 - logits_profile_predictions_loss: 84.8918 - logcount_predictions_loss: 0.5670 40/883 [>.............................] - ETA: 2:09 - loss: 86.2612 - logits_profile_predictions_loss: 85.3604 - logcount_predictions_loss: 0.5630 41/883 [>.............................] - ETA: 2:09 - loss: 86.4514 - logits_profile_predictions_loss: 85.5525 - logcount_predictions_loss: 0.5618 42/883 [>.............................] - ETA: 2:09 - loss: 86.3486 - logits_profile_predictions_loss: 85.4557 - logcount_predictions_loss: 0.5581 43/883 [>.............................] - ETA: 2:09 - loss: 86.5688 - logits_profile_predictions_loss: 85.6820 - logcount_predictions_loss: 0.5542 44/883 [>.............................] - ETA: 2:09 - loss: 86.7340 - logits_profile_predictions_loss: 85.8523 - logcount_predictions_loss: 0.5511 45/883 [>.............................] - ETA: 2:08 - loss: 86.5463 - logits_profile_predictions_loss: 85.6658 - logcount_predictions_loss: 0.5503 46/883 [>.............................] - ETA: 2:08 - loss: 86.9804 - logits_profile_predictions_loss: 86.0970 - logcount_predictions_loss: 0.5521 47/883 [>.............................] - ETA: 2:08 - loss: 87.3158 - logits_profile_predictions_loss: 86.4330 - logcount_predictions_loss: 0.5517 48/883 [>.............................] - ETA: 2:08 - loss: 87.2041 - logits_profile_predictions_loss: 86.3229 - logcount_predictions_loss: 0.5508 49/883 [>.............................] - ETA: 2:08 - loss: 86.9782 - logits_profile_predictions_loss: 86.0952 - logcount_predictions_loss: 0.5519 50/883 [>.............................] - ETA: 2:08 - loss: 87.0075 - logits_profile_predictions_loss: 86.1267 - logcount_predictions_loss: 0.5505 51/883 [>.............................] - ETA: 2:08 - loss: 87.1609 - logits_profile_predictions_loss: 86.2825 - logcount_predictions_loss: 0.5490 52/883 [>.............................] - ETA: 2:07 - loss: 87.2348 - logits_profile_predictions_loss: 86.3587 - logcount_predictions_loss: 0.5476 53/883 [>.............................] - ETA: 2:07 - loss: 87.0615 - logits_profile_predictions_loss: 86.1847 - logcount_predictions_loss: 0.5480 54/883 [>.............................] - ETA: 2:07 - loss: 87.1329 - logits_profile_predictions_loss: 86.2552 - logcount_predictions_loss: 0.5486 55/883 [>.............................] - ETA: 2:07 - loss: 87.1398 - logits_profile_predictions_loss: 86.2617 - logcount_predictions_loss: 0.5488 56/883 [>.............................] - ETA: 2:07 - loss: 87.1512 - logits_profile_predictions_loss: 86.2755 - logcount_predictions_loss: 0.5473 57/883 [>.............................] - ETA: 2:07 - loss: 87.1513 - logits_profile_predictions_loss: 86.2790 - logcount_predictions_loss: 0.5452 58/883 [>.............................] - ETA: 2:07 - loss: 87.3915 - logits_profile_predictions_loss: 86.5237 - logcount_predictions_loss: 0.5424 59/883 [=>............................] - ETA: 2:06 - loss: 87.5274 - logits_profile_predictions_loss: 86.6591 - logcount_predictions_loss: 0.5427 60/883 [=>............................] - ETA: 2:06 - loss: 87.4362 - logits_profile_predictions_loss: 86.5659 - logcount_predictions_loss: 0.5439 61/883 [=>............................] - ETA: 2:06 - loss: 87.3440 - logits_profile_predictions_loss: 86.4760 - logcount_predictions_loss: 0.5425 62/883 [=>............................] - ETA: 2:06 - loss: 87.3545 - logits_profile_predictions_loss: 86.4838 - logcount_predictions_loss: 0.5442 63/883 [=>............................] - ETA: 2:06 - loss: 87.4765 - logits_profile_predictions_loss: 86.6072 - logcount_predictions_loss: 0.5433 64/883 [=>............................] - ETA: 2:06 - loss: 87.7247 - logits_profile_predictions_loss: 86.8561 - logcount_predictions_loss: 0.5429 65/883 [=>............................] - ETA: 2:05 - loss: 87.6639 - logits_profile_predictions_loss: 86.7983 - logcount_predictions_loss: 0.5410 66/883 [=>............................] - ETA: 2:05 - loss: 87.5256 - logits_profile_predictions_loss: 86.6602 - logcount_predictions_loss: 0.5409 67/883 [=>............................] - ETA: 2:05 - loss: 87.3966 - logits_profile_predictions_loss: 86.5324 - logcount_predictions_loss: 0.5401 68/883 [=>............................] - ETA: 2:05 - loss: 87.5636 - logits_profile_predictions_loss: 86.7002 - logcount_predictions_loss: 0.5396 69/883 [=>............................] - ETA: 2:05 - loss: 87.5080 - logits_profile_predictions_loss: 86.6483 - logcount_predictions_loss: 0.5373 70/883 [=>............................] - ETA: 2:05 - loss: 87.3146 - logits_profile_predictions_loss: 86.4572 - logcount_predictions_loss: 0.5359 71/883 [=>............................] - ETA: 2:05 - loss: 87.4851 - logits_profile_predictions_loss: 86.6186 - logcount_predictions_loss: 0.5416 72/883 [=>............................] - ETA: 2:04 - loss: 87.7039 - logits_profile_predictions_loss: 86.8332 - logcount_predictions_loss: 0.5442 73/883 [=>............................] - ETA: 2:04 - loss: 87.7216 - logits_profile_predictions_loss: 86.8519 - logcount_predictions_loss: 0.5436 74/883 [=>............................] - ETA: 2:04 - loss: 87.7840 - logits_profile_predictions_loss: 86.9134 - logcount_predictions_loss: 0.5441 75/883 [=>............................] - ETA: 2:04 - loss: 87.9607 - logits_profile_predictions_loss: 87.0867 - logcount_predictions_loss: 0.5462 76/883 [=>............................] - ETA: 2:04 - loss: 87.9362 - logits_profile_predictions_loss: 87.0656 - logcount_predictions_loss: 0.5442 77/883 [=>............................] - ETA: 2:04 - loss: 88.0095 - logits_profile_predictions_loss: 87.1414 - logcount_predictions_loss: 0.5426 78/883 [=>............................] - ETA: 2:04 - loss: 87.9486 - logits_profile_predictions_loss: 87.0823 - logcount_predictions_loss: 0.5415 79/883 [=>............................] - ETA: 2:03 - loss: 87.9085 - logits_profile_predictions_loss: 87.0435 - logcount_predictions_loss: 0.5407 80/883 [=>............................] - ETA: 2:03 - loss: 87.9092 - logits_profile_predictions_loss: 87.0459 - logcount_predictions_loss: 0.5395 81/883 [=>............................] - ETA: 2:03 - loss: 87.8249 - logits_profile_predictions_loss: 86.9646 - logcount_predictions_loss: 0.5377 82/883 [=>............................] - ETA: 2:03 - loss: 87.9784 - logits_profile_predictions_loss: 87.1155 - logcount_predictions_loss: 0.5394 83/883 [=>............................] - ETA: 2:03 - loss: 87.9369 - logits_profile_predictions_loss: 87.0729 - logcount_predictions_loss: 0.5400 84/883 [=>............................] - ETA: 2:03 - loss: 87.7372 - logits_profile_predictions_loss: 86.8730 - logcount_predictions_loss: 0.5401 85/883 [=>............................] - ETA: 2:02 - loss: 87.8017 - logits_profile_predictions_loss: 86.9347 - logcount_predictions_loss: 0.5419 86/883 [=>............................] - ETA: 2:02 - loss: 87.7467 - logits_profile_predictions_loss: 86.8794 - logcount_predictions_loss: 0.5421 87/883 [=>............................] - ETA: 2:02 - loss: 87.9038 - logits_profile_predictions_loss: 87.0344 - logcount_predictions_loss: 0.5434 88/883 [=>............................] - ETA: 2:02 - loss: 87.6434 - logits_profile_predictions_loss: 86.7712 - logcount_predictions_loss: 0.5451 89/883 [==>...........................] - ETA: 2:02 - loss: 87.4282 - logits_profile_predictions_loss: 86.5540 - logcount_predictions_loss: 0.5464 90/883 [==>...........................] - ETA: 2:02 - loss: 87.3128 - logits_profile_predictions_loss: 86.4376 - logcount_predictions_loss: 0.5470 91/883 [==>...........................] - ETA: 2:02 - loss: 87.0810 - logits_profile_predictions_loss: 86.2055 - logcount_predictions_loss: 0.5472 92/883 [==>...........................] - ETA: 2:01 - loss: 86.9988 - logits_profile_predictions_loss: 86.1214 - logcount_predictions_loss: 0.5484 93/883 [==>...........................] - ETA: 2:01 - loss: 86.8139 - logits_profile_predictions_loss: 85.9354 - logcount_predictions_loss: 0.5491 94/883 [==>...........................] - ETA: 2:01 - loss: 86.7958 - logits_profile_predictions_loss: 85.9160 - logcount_predictions_loss: 0.5499 95/883 [==>...........................] - ETA: 2:01 - loss: 87.0342 - logits_profile_predictions_loss: 86.1552 - logcount_predictions_loss: 0.5494 96/883 [==>...........................] - ETA: 2:01 - loss: 86.9917 - logits_profile_predictions_loss: 86.1110 - logcount_predictions_loss: 0.5505 98/883 [==>...........................] - ETA: 1:59 - loss: 86.8648 - logits_profile_predictions_loss: 85.9848 - logcount_predictions_loss: 0.5500 99/883 [==>...........................] - ETA: 1:59 - loss: 86.7851 - logits_profile_predictions_loss: 85.9017 - logcount_predictions_loss: 0.5521 100/883 [==>...........................] - ETA: 1:59 - loss: 86.8210 - logits_profile_predictions_loss: 85.9344 - logcount_predictions_loss: 0.5542 101/883 [==>...........................] - ETA: 1:59 - loss: 86.8901 - logits_profile_predictions_loss: 86.0012 - logcount_predictions_loss: 0.5556 102/883 [==>...........................] - ETA: 1:59 - loss: 86.7679 - logits_profile_predictions_loss: 85.8802 - logcount_predictions_loss: 0.5548 103/883 [==>...........................] - ETA: 1:59 - loss: 86.6544 - logits_profile_predictions_loss: 85.7626 - logcount_predictions_loss: 0.5574 104/883 [==>...........................] - ETA: 1:58 - loss: 86.8079 - logits_profile_predictions_loss: 85.9164 - logcount_predictions_loss: 0.5572 105/883 [==>...........................] - ETA: 1:58 - loss: 86.8117 - logits_profile_predictions_loss: 85.9195 - logcount_predictions_loss: 0.5576 106/883 [==>...........................] - ETA: 1:58 - loss: 86.7277 - logits_profile_predictions_loss: 85.8336 - logcount_predictions_loss: 0.5589 107/883 [==>...........................] - ETA: 1:58 - loss: 86.6664 - logits_profile_predictions_loss: 85.7738 - logcount_predictions_loss: 0.5579 108/883 [==>...........................] - ETA: 1:58 - loss: 86.6034 - logits_profile_predictions_loss: 85.7114 - logcount_predictions_loss: 0.5575 109/883 [==>...........................] - ETA: 1:58 - loss: 86.7019 - logits_profile_predictions_loss: 85.8045 - logcount_predictions_loss: 0.5609 110/883 [==>...........................] - ETA: 1:58 - loss: 86.7026 - logits_profile_predictions_loss: 85.8071 - logcount_predictions_loss: 0.5597 111/883 [==>...........................] - ETA: 1:57 - loss: 86.7795 - logits_profile_predictions_loss: 85.8853 - logcount_predictions_loss: 0.5589 112/883 [==>...........................] - ETA: 1:57 - loss: 86.9044 - logits_profile_predictions_loss: 86.0105 - logcount_predictions_loss: 0.5587 113/883 [==>...........................] - ETA: 1:57 - loss: 86.9214 - logits_profile_predictions_loss: 86.0281 - logcount_predictions_loss: 0.5583 114/883 [==>...........................] - ETA: 1:57 - loss: 86.8746 - logits_profile_predictions_loss: 85.9831 - logcount_predictions_loss: 0.5572 115/883 [==>...........................] - ETA: 1:57 - loss: 86.9614 - logits_profile_predictions_loss: 86.0700 - logcount_predictions_loss: 0.5572 116/883 [==>...........................] - ETA: 1:57 - loss: 86.9897 - logits_profile_predictions_loss: 86.0994 - logcount_predictions_loss: 0.5564 117/883 [==>...........................] - ETA: 1:57 - loss: 86.8662 - logits_profile_predictions_loss: 85.9781 - logcount_predictions_loss: 0.5551 118/883 [===>..........................] - ETA: 1:56 - loss: 86.8448 - logits_profile_predictions_loss: 85.9582 - logcount_predictions_loss: 0.5542 119/883 [===>..........................] - ETA: 1:56 - loss: 86.8414 - logits_profile_predictions_loss: 85.9554 - logcount_predictions_loss: 0.5537 120/883 [===>..........................] - ETA: 1:56 - loss: 86.9120 - logits_profile_predictions_loss: 86.0267 - logcount_predictions_loss: 0.5533 121/883 [===>..........................] - ETA: 1:56 - loss: 87.0885 - logits_profile_predictions_loss: 86.2008 - logcount_predictions_loss: 0.5549 122/883 [===>..........................] - ETA: 1:56 - loss: 87.0289 - logits_profile_predictions_loss: 86.1415 - logcount_predictions_loss: 0.5546 123/883 [===>..........................] - ETA: 1:56 - loss: 86.9517 - logits_profile_predictions_loss: 86.0651 - logcount_predictions_loss: 0.5541 124/883 [===>..........................] - ETA: 1:56 - loss: 87.0540 - logits_profile_predictions_loss: 86.1671 - logcount_predictions_loss: 0.5543 125/883 [===>..........................] - ETA: 1:55 - loss: 87.1231 - logits_profile_predictions_loss: 86.2377 - logcount_predictions_loss: 0.5534 126/883 [===>..........................] - ETA: 1:55 - loss: 87.1677 - logits_profile_predictions_loss: 86.2839 - logcount_predictions_loss: 0.5524 127/883 [===>..........................] - ETA: 1:55 - loss: 87.1844 - logits_profile_predictions_loss: 86.3018 - logcount_predictions_loss: 0.5517 128/883 [===>..........................] - ETA: 1:55 - loss: 87.1796 - logits_profile_predictions_loss: 86.2974 - logcount_predictions_loss: 0.5514 129/883 [===>..........................] - ETA: 1:55 - loss: 87.0737 - logits_profile_predictions_loss: 86.1906 - logcount_predictions_loss: 0.5520 130/883 [===>..........................] - ETA: 1:55 - loss: 87.0421 - logits_profile_predictions_loss: 86.1591 - logcount_predictions_loss: 0.5518 131/883 [===>..........................] - ETA: 1:55 - loss: 87.1461 - logits_profile_predictions_loss: 86.2612 - logcount_predictions_loss: 0.5531 132/883 [===>..........................] - ETA: 1:54 - loss: 87.0767 - logits_profile_predictions_loss: 86.1925 - logcount_predictions_loss: 0.5526 133/883 [===>..........................] - ETA: 1:54 - loss: 87.1319 - logits_profile_predictions_loss: 86.2469 - logcount_predictions_loss: 0.5532 134/883 [===>..........................] - ETA: 1:54 - loss: 87.0766 - logits_profile_predictions_loss: 86.1927 - logcount_predictions_loss: 0.5524 135/883 [===>..........................] - ETA: 1:54 - loss: 87.1464 - logits_profile_predictions_loss: 86.2612 - logcount_predictions_loss: 0.5532 136/883 [===>..........................] - ETA: 1:54 - loss: 87.2014 - logits_profile_predictions_loss: 86.3159 - logcount_predictions_loss: 0.5534 137/883 [===>..........................] - ETA: 1:54 - loss: 87.2171 - logits_profile_predictions_loss: 86.3317 - logcount_predictions_loss: 0.5534 138/883 [===>..........................] - ETA: 1:54 - loss: 87.3672 - logits_profile_predictions_loss: 86.4813 - logcount_predictions_loss: 0.5537 139/883 [===>..........................] - ETA: 1:53 - loss: 87.4259 - logits_profile_predictions_loss: 86.5413 - logcount_predictions_loss: 0.5529 140/883 [===>..........................] - ETA: 1:53 - loss: 87.4190 - logits_profile_predictions_loss: 86.5348 - logcount_predictions_loss: 0.5527 141/883 [===>..........................] - ETA: 1:53 - loss: 87.3946 - logits_profile_predictions_loss: 86.5110 - logcount_predictions_loss: 0.5523 142/883 [===>..........................] - ETA: 1:53 - loss: 87.3592 - logits_profile_predictions_loss: 86.4779 - logcount_predictions_loss: 0.5508 143/883 [===>..........................] - ETA: 1:53 - loss: 87.4035 - logits_profile_predictions_loss: 86.5220 - logcount_predictions_loss: 0.5510 144/883 [===>..........................] - ETA: 1:53 - loss: 87.3296 - logits_profile_predictions_loss: 86.4474 - logcount_predictions_loss: 0.5514 145/883 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logits_profile_predictions_loss: 86.6773 - logcount_predictions_loss: 0.5548 877/883 [============================>.] - ETA: 0s - loss: 87.5753 - logits_profile_predictions_loss: 86.6878 - logcount_predictions_loss: 0.5547 878/883 [============================>.] - ETA: 0s - loss: 87.5856 - logits_profile_predictions_loss: 86.6985 - logcount_predictions_loss: 0.5544 879/883 [============================>.] - ETA: 0s - loss: 87.5660 - logits_profile_predictions_loss: 86.6791 - logcount_predictions_loss: 0.5543 880/883 [============================>.] - ETA: 0s - loss: 87.5689 - logits_profile_predictions_loss: 86.6822 - logcount_predictions_loss: 0.5542 881/883 [============================>.] - ETA: 0s - loss: 87.5679 - logits_profile_predictions_loss: 86.6814 - logcount_predictions_loss: 0.5540 882/883 [============================>.] - ETA: 0s - loss: 87.5615 - logits_profile_predictions_loss: 86.6751 - logcount_predictions_loss: 0.5540 883/883 [==============================] - ETA: 0s - loss: 87.5631 - logits_profile_predictions_loss: 86.6768 - logcount_predictions_loss: 0.5539 Epoch 9: val_loss did not improve from 102.71559  883/883 [==============================] - 142s 160ms/step - loss: 87.5631 - logits_profile_predictions_loss: 86.6768 - logcount_predictions_loss: 0.5539 - val_loss: 103.9630 - val_logits_profile_predictions_loss: 103.0361 - val_logcount_predictions_loss: 0.5793 Epoch 10/50 1/883 [..............................] - ETA: 2:23 - loss: 71.4291 - logits_profile_predictions_loss: 70.8736 - logcount_predictions_loss: 0.3472 2/883 [..............................] - ETA: 2:15 - loss: 85.1682 - logits_profile_predictions_loss: 84.5570 - logcount_predictions_loss: 0.3820 3/883 [..............................] - ETA: 2:14 - loss: 93.5031 - logits_profile_predictions_loss: 92.8168 - logcount_predictions_loss: 0.4290 4/883 [..............................] - ETA: 2:14 - loss: 92.6476 - logits_profile_predictions_loss: 91.8919 - logcount_predictions_loss: 0.4723 5/883 [..............................] - ETA: 2:15 - loss: 92.4593 - logits_profile_predictions_loss: 91.7023 - logcount_predictions_loss: 0.4731 6/883 [..............................] - ETA: 2:14 - loss: 92.2312 - logits_profile_predictions_loss: 91.4657 - logcount_predictions_loss: 0.4784 7/883 [..............................] - ETA: 2:14 - loss: 90.9406 - logits_profile_predictions_loss: 90.1835 - logcount_predictions_loss: 0.4732 8/883 [..............................] - ETA: 2:14 - loss: 89.3421 - logits_profile_predictions_loss: 88.5730 - logcount_predictions_loss: 0.4807 9/883 [..............................] - ETA: 2:14 - loss: 88.6925 - logits_profile_predictions_loss: 87.9308 - logcount_predictions_loss: 0.4761 10/883 [..............................] - ETA: 2:14 - loss: 88.5401 - logits_profile_predictions_loss: 87.7568 - logcount_predictions_loss: 0.4896 11/883 [..............................] - ETA: 2:16 - loss: 88.5186 - logits_profile_predictions_loss: 87.7279 - logcount_predictions_loss: 0.4942 12/883 [..............................] - ETA: 2:15 - loss: 87.6463 - logits_profile_predictions_loss: 86.8688 - logcount_predictions_loss: 0.4860 13/883 [..............................] - ETA: 2:15 - loss: 88.7848 - logits_profile_predictions_loss: 88.0091 - logcount_predictions_loss: 0.4848 14/883 [..............................] - ETA: 2:15 - loss: 89.5610 - logits_profile_predictions_loss: 88.7843 - logcount_predictions_loss: 0.4855 15/883 [..............................] - ETA: 2:14 - loss: 88.9079 - logits_profile_predictions_loss: 88.1466 - logcount_predictions_loss: 0.4758 16/883 [..............................] - ETA: 2:14 - loss: 88.6098 - logits_profile_predictions_loss: 87.8414 - logcount_predictions_loss: 0.4803 17/883 [..............................] - ETA: 2:14 - loss: 87.6830 - logits_profile_predictions_loss: 86.9122 - logcount_predictions_loss: 0.4818 18/883 [..............................] - ETA: 2:14 - loss: 87.0839 - logits_profile_predictions_loss: 86.3025 - logcount_predictions_loss: 0.4884 19/883 [..............................] - ETA: 2:14 - loss: 86.4654 - logits_profile_predictions_loss: 85.6786 - logcount_predictions_loss: 0.4917 20/883 [..............................] - ETA: 2:13 - loss: 86.1296 - logits_profile_predictions_loss: 85.3339 - logcount_predictions_loss: 0.4973 21/883 [..............................] - ETA: 2:13 - loss: 86.4619 - logits_profile_predictions_loss: 85.6677 - logcount_predictions_loss: 0.4963 22/883 [..............................] - ETA: 2:13 - loss: 86.8413 - logits_profile_predictions_loss: 86.0440 - logcount_predictions_loss: 0.4983 23/883 [..............................] - ETA: 2:13 - loss: 86.6160 - logits_profile_predictions_loss: 85.8176 - logcount_predictions_loss: 0.4990 24/883 [..............................] - ETA: 2:13 - loss: 87.5149 - logits_profile_predictions_loss: 86.7078 - logcount_predictions_loss: 0.5044 25/883 [..............................] - ETA: 2:12 - loss: 86.8628 - logits_profile_predictions_loss: 86.0529 - logcount_predictions_loss: 0.5062 26/883 [..............................] - ETA: 2:12 - loss: 86.7972 - logits_profile_predictions_loss: 85.9816 - logcount_predictions_loss: 0.5097 27/883 [..............................] - ETA: 2:12 - loss: 86.6230 - logits_profile_predictions_loss: 85.8057 - logcount_predictions_loss: 0.5108 28/883 [..............................] - ETA: 2:12 - loss: 87.0820 - logits_profile_predictions_loss: 86.2428 - logcount_predictions_loss: 0.5245 29/883 [..............................] - ETA: 2:12 - loss: 87.0756 - logits_profile_predictions_loss: 86.2297 - logcount_predictions_loss: 0.5287 30/883 [>.............................] - ETA: 2:12 - loss: 87.0548 - logits_profile_predictions_loss: 86.2177 - logcount_predictions_loss: 0.5232 31/883 [>.............................] - ETA: 2:11 - loss: 86.6940 - logits_profile_predictions_loss: 85.8546 - logcount_predictions_loss: 0.5247 32/883 [>.............................] - ETA: 2:11 - loss: 87.0212 - logits_profile_predictions_loss: 86.1795 - logcount_predictions_loss: 0.5260 33/883 [>.............................] - ETA: 2:11 - loss: 86.9271 - logits_profile_predictions_loss: 86.0869 - logcount_predictions_loss: 0.5251 34/883 [>.............................] - ETA: 2:11 - loss: 87.3368 - logits_profile_predictions_loss: 86.5018 - logcount_predictions_loss: 0.5219 35/883 [>.............................] - ETA: 2:11 - loss: 87.3180 - logits_profile_predictions_loss: 86.4804 - logcount_predictions_loss: 0.5235 36/883 [>.............................] - ETA: 2:11 - loss: 87.4144 - logits_profile_predictions_loss: 86.5770 - logcount_predictions_loss: 0.5234 37/883 [>.............................] - ETA: 2:10 - loss: 87.2743 - logits_profile_predictions_loss: 86.4385 - logcount_predictions_loss: 0.5224 38/883 [>.............................] - ETA: 2:10 - loss: 87.1722 - logits_profile_predictions_loss: 86.3300 - logcount_predictions_loss: 0.5264 39/883 [>.............................] - ETA: 2:10 - loss: 87.4571 - logits_profile_predictions_loss: 86.6181 - logcount_predictions_loss: 0.5244 40/883 [>.............................] - ETA: 2:10 - loss: 87.3244 - logits_profile_predictions_loss: 86.4864 - logcount_predictions_loss: 0.5238 41/883 [>.............................] - ETA: 2:10 - loss: 87.4026 - logits_profile_predictions_loss: 86.5686 - logcount_predictions_loss: 0.5213 42/883 [>.............................] - ETA: 2:10 - loss: 86.8570 - logits_profile_predictions_loss: 86.0209 - logcount_predictions_loss: 0.5226 43/883 [>.............................] - ETA: 2:09 - loss: 86.8030 - logits_profile_predictions_loss: 85.9658 - logcount_predictions_loss: 0.5232 44/883 [>.............................] - ETA: 2:09 - loss: 86.3813 - logits_profile_predictions_loss: 85.5443 - logcount_predictions_loss: 0.5232 45/883 [>.............................] - ETA: 2:09 - loss: 86.7016 - logits_profile_predictions_loss: 85.8536 - logcount_predictions_loss: 0.5300 46/883 [>.............................] - ETA: 2:09 - loss: 86.3807 - logits_profile_predictions_loss: 85.5338 - logcount_predictions_loss: 0.5293 47/883 [>.............................] - ETA: 2:09 - loss: 86.6882 - logits_profile_predictions_loss: 85.8400 - logcount_predictions_loss: 0.5301 48/883 [>.............................] - ETA: 2:09 - loss: 86.4191 - logits_profile_predictions_loss: 85.5704 - logcount_predictions_loss: 0.5305 49/883 [>.............................] - ETA: 2:08 - loss: 86.3815 - logits_profile_predictions_loss: 85.5336 - logcount_predictions_loss: 0.5299 50/883 [>.............................] - ETA: 2:08 - loss: 85.9743 - logits_profile_predictions_loss: 85.1301 - logcount_predictions_loss: 0.5276 51/883 [>.............................] - ETA: 2:08 - loss: 85.8124 - logits_profile_predictions_loss: 84.9691 - logcount_predictions_loss: 0.5271 52/883 [>.............................] - ETA: 2:08 - loss: 85.7985 - logits_profile_predictions_loss: 84.9543 - logcount_predictions_loss: 0.5277 53/883 [>.............................] - ETA: 2:08 - loss: 85.8670 - logits_profile_predictions_loss: 85.0238 - logcount_predictions_loss: 0.5270 54/883 [>.............................] - ETA: 2:08 - loss: 85.7680 - logits_profile_predictions_loss: 84.9203 - logcount_predictions_loss: 0.5298 55/883 [>.............................] - ETA: 2:07 - loss: 85.7600 - logits_profile_predictions_loss: 84.9075 - logcount_predictions_loss: 0.5328 56/883 [>.............................] - ETA: 2:07 - loss: 85.5028 - logits_profile_predictions_loss: 84.6493 - logcount_predictions_loss: 0.5334 57/883 [>.............................] - ETA: 2:07 - loss: 85.4330 - logits_profile_predictions_loss: 84.5739 - logcount_predictions_loss: 0.5370 58/883 [>.............................] - ETA: 2:07 - loss: 85.5798 - logits_profile_predictions_loss: 84.7164 - logcount_predictions_loss: 0.5396 59/883 [=>............................] - ETA: 2:07 - loss: 85.5414 - logits_profile_predictions_loss: 84.6813 - logcount_predictions_loss: 0.5375 60/883 [=>............................] - ETA: 2:07 - loss: 85.3815 - logits_profile_predictions_loss: 84.5160 - logcount_predictions_loss: 0.5409 61/883 [=>............................] - ETA: 2:07 - loss: 85.5073 - logits_profile_predictions_loss: 84.6395 - logcount_predictions_loss: 0.5424 62/883 [=>............................] - ETA: 2:06 - loss: 85.6829 - logits_profile_predictions_loss: 84.8165 - logcount_predictions_loss: 0.5415 63/883 [=>............................] - ETA: 2:06 - loss: 85.7475 - logits_profile_predictions_loss: 84.8789 - logcount_predictions_loss: 0.5428 64/883 [=>............................] - ETA: 2:06 - loss: 85.5537 - logits_profile_predictions_loss: 84.6876 - logcount_predictions_loss: 0.5413 65/883 [=>............................] - ETA: 2:06 - loss: 85.5068 - logits_profile_predictions_loss: 84.6430 - logcount_predictions_loss: 0.5399 66/883 [=>............................] - ETA: 2:06 - loss: 85.5459 - logits_profile_predictions_loss: 84.6796 - logcount_predictions_loss: 0.5414 67/883 [=>............................] - ETA: 2:06 - loss: 85.6515 - logits_profile_predictions_loss: 84.7807 - logcount_predictions_loss: 0.5443 68/883 [=>............................] - ETA: 2:05 - loss: 85.3565 - logits_profile_predictions_loss: 84.4798 - logcount_predictions_loss: 0.5479 69/883 [=>............................] - ETA: 2:05 - loss: 85.3526 - logits_profile_predictions_loss: 84.4720 - logcount_predictions_loss: 0.5504 70/883 [=>............................] - ETA: 2:05 - loss: 85.3876 - logits_profile_predictions_loss: 84.5100 - logcount_predictions_loss: 0.5485 71/883 [=>............................] - ETA: 2:05 - loss: 85.2763 - logits_profile_predictions_loss: 84.4016 - logcount_predictions_loss: 0.5466 72/883 [=>............................] - ETA: 2:05 - loss: 85.5025 - logits_profile_predictions_loss: 84.6291 - logcount_predictions_loss: 0.5458 73/883 [=>............................] - ETA: 2:05 - loss: 85.4206 - logits_profile_predictions_loss: 84.5451 - logcount_predictions_loss: 0.5472 74/883 [=>............................] - ETA: 2:04 - loss: 85.3834 - logits_profile_predictions_loss: 84.5095 - logcount_predictions_loss: 0.5462 75/883 [=>............................] - ETA: 2:04 - loss: 85.3635 - logits_profile_predictions_loss: 84.4907 - logcount_predictions_loss: 0.5455 76/883 [=>............................] - ETA: 2:04 - loss: 85.6089 - logits_profile_predictions_loss: 84.7393 - logcount_predictions_loss: 0.5435 77/883 [=>............................] - ETA: 2:04 - loss: 85.7227 - logits_profile_predictions_loss: 84.8539 - logcount_predictions_loss: 0.5430 78/883 [=>............................] - ETA: 2:04 - loss: 85.6423 - logits_profile_predictions_loss: 84.7787 - logcount_predictions_loss: 0.5398 79/883 [=>............................] - ETA: 2:04 - loss: 85.7899 - logits_profile_predictions_loss: 84.9282 - logcount_predictions_loss: 0.5386 80/883 [=>............................] - ETA: 2:03 - loss: 85.7315 - logits_profile_predictions_loss: 84.8714 - logcount_predictions_loss: 0.5375 81/883 [=>............................] - ETA: 2:03 - loss: 85.6353 - logits_profile_predictions_loss: 84.7744 - logcount_predictions_loss: 0.5381 82/883 [=>............................] - ETA: 2:03 - loss: 85.7480 - logits_profile_predictions_loss: 84.8901 - logcount_predictions_loss: 0.5362 83/883 [=>............................] - ETA: 2:03 - loss: 85.6689 - logits_profile_predictions_loss: 84.8133 - logcount_predictions_loss: 0.5348 84/883 [=>............................] - ETA: 2:03 - loss: 85.5161 - logits_profile_predictions_loss: 84.6590 - logcount_predictions_loss: 0.5357 85/883 [=>............................] - ETA: 2:03 - loss: 85.3626 - logits_profile_predictions_loss: 84.5049 - logcount_predictions_loss: 0.5360 86/883 [=>............................] - ETA: 2:03 - loss: 85.2778 - logits_profile_predictions_loss: 84.4193 - logcount_predictions_loss: 0.5365 87/883 [=>............................] - ETA: 2:02 - loss: 85.1766 - logits_profile_predictions_loss: 84.3199 - logcount_predictions_loss: 0.5354 88/883 [=>............................] - ETA: 2:02 - loss: 85.1052 - logits_profile_predictions_loss: 84.2518 - logcount_predictions_loss: 0.5334 89/883 [==>...........................] - ETA: 2:02 - loss: 85.0771 - logits_profile_predictions_loss: 84.2237 - logcount_predictions_loss: 0.5333 90/883 [==>...........................] - ETA: 2:02 - loss: 84.9082 - logits_profile_predictions_loss: 84.0550 - logcount_predictions_loss: 0.5332 91/883 [==>...........................] - ETA: 2:02 - loss: 84.8571 - logits_profile_predictions_loss: 84.0041 - logcount_predictions_loss: 0.5331 92/883 [==>...........................] - ETA: 2:02 - loss: 84.9214 - logits_profile_predictions_loss: 84.0693 - logcount_predictions_loss: 0.5325 93/883 [==>...........................] - ETA: 2:01 - loss: 84.9692 - logits_profile_predictions_loss: 84.1182 - logcount_predictions_loss: 0.5319 94/883 [==>...........................] - ETA: 2:01 - loss: 84.9039 - logits_profile_predictions_loss: 84.0531 - logcount_predictions_loss: 0.5318 95/883 [==>...........................] - ETA: 2:01 - loss: 84.8101 - logits_profile_predictions_loss: 83.9583 - logcount_predictions_loss: 0.5324 96/883 [==>...........................] - ETA: 2:01 - loss: 84.6747 - logits_profile_predictions_loss: 83.8227 - logcount_predictions_loss: 0.5325 97/883 [==>...........................] - ETA: 2:01 - loss: 84.6116 - logits_profile_predictions_loss: 83.7607 - logcount_predictions_loss: 0.5318 98/883 [==>...........................] - ETA: 2:01 - loss: 84.8621 - logits_profile_predictions_loss: 84.0105 - logcount_predictions_loss: 0.5323 99/883 [==>...........................] - ETA: 2:00 - loss: 85.0278 - logits_profile_predictions_loss: 84.1744 - logcount_predictions_loss: 0.5334 100/883 [==>...........................] - ETA: 2:00 - loss: 85.4781 - logits_profile_predictions_loss: 84.6266 - logcount_predictions_loss: 0.5322 101/883 [==>...........................] - ETA: 2:00 - loss: 85.4512 - logits_profile_predictions_loss: 84.5998 - logcount_predictions_loss: 0.5321 102/883 [==>...........................] - ETA: 2:00 - loss: 85.5141 - logits_profile_predictions_loss: 84.6636 - logcount_predictions_loss: 0.5316 103/883 [==>...........................] - ETA: 2:00 - loss: 85.4400 - logits_profile_predictions_loss: 84.5916 - logcount_predictions_loss: 0.5303 104/883 [==>...........................] - ETA: 2:00 - loss: 85.5363 - logits_profile_predictions_loss: 84.6883 - logcount_predictions_loss: 0.5300 105/883 [==>...........................] - ETA: 2:00 - loss: 85.5380 - logits_profile_predictions_loss: 84.6923 - logcount_predictions_loss: 0.5285 106/883 [==>...........................] - ETA: 1:59 - loss: 85.4812 - logits_profile_predictions_loss: 84.6382 - logcount_predictions_loss: 0.5269 107/883 [==>...........................] - ETA: 1:59 - loss: 85.5959 - logits_profile_predictions_loss: 84.7539 - logcount_predictions_loss: 0.5263 108/883 [==>...........................] - ETA: 1:59 - loss: 85.7309 - logits_profile_predictions_loss: 84.8896 - logcount_predictions_loss: 0.5258 109/883 [==>...........................] - ETA: 1:59 - loss: 85.6851 - logits_profile_predictions_loss: 84.8418 - logcount_predictions_loss: 0.5271 110/883 [==>...........................] - ETA: 1:59 - loss: 85.8023 - logits_profile_predictions_loss: 84.9594 - logcount_predictions_loss: 0.5268 111/883 [==>...........................] - ETA: 1:59 - loss: 85.7997 - logits_profile_predictions_loss: 84.9576 - logcount_predictions_loss: 0.5263 112/883 [==>...........................] - ETA: 1:58 - loss: 85.6812 - logits_profile_predictions_loss: 84.8419 - logcount_predictions_loss: 0.5246 113/883 [==>...........................] - ETA: 1:58 - loss: 85.7048 - logits_profile_predictions_loss: 84.8655 - logcount_predictions_loss: 0.5245 114/883 [==>...........................] - ETA: 1:58 - loss: 85.8554 - logits_profile_predictions_loss: 85.0154 - logcount_predictions_loss: 0.5250 115/883 [==>...........................] - ETA: 1:58 - loss: 85.7778 - logits_profile_predictions_loss: 84.9377 - logcount_predictions_loss: 0.5251 116/883 [==>...........................] - ETA: 1:58 - loss: 85.8401 - logits_profile_predictions_loss: 84.9997 - logcount_predictions_loss: 0.5252 117/883 [==>...........................] - ETA: 1:58 - loss: 85.8199 - logits_profile_predictions_loss: 84.9804 - logcount_predictions_loss: 0.5247 118/883 [===>..........................] - ETA: 1:58 - loss: 85.8667 - logits_profile_predictions_loss: 85.0282 - logcount_predictions_loss: 0.5241 119/883 [===>..........................] - ETA: 1:57 - loss: 85.8103 - logits_profile_predictions_loss: 84.9706 - logcount_predictions_loss: 0.5248 120/883 [===>..........................] - ETA: 1:57 - loss: 85.8730 - logits_profile_predictions_loss: 85.0359 - logcount_predictions_loss: 0.5232 121/883 [===>..........................] - ETA: 1:57 - loss: 85.8415 - logits_profile_predictions_loss: 85.0063 - logcount_predictions_loss: 0.5220 122/883 [===>..........................] - ETA: 1:57 - loss: 85.8813 - logits_profile_predictions_loss: 85.0485 - logcount_predictions_loss: 0.5206 123/883 [===>..........................] - ETA: 1:57 - loss: 85.7789 - logits_profile_predictions_loss: 84.9453 - logcount_predictions_loss: 0.5210 124/883 [===>..........................] - ETA: 1:57 - loss: 85.7480 - logits_profile_predictions_loss: 84.9141 - logcount_predictions_loss: 0.5212 125/883 [===>..........................] - ETA: 1:56 - loss: 85.7899 - logits_profile_predictions_loss: 84.9571 - logcount_predictions_loss: 0.5205 126/883 [===>..........................] - ETA: 1:56 - loss: 85.8408 - logits_profile_predictions_loss: 85.0081 - logcount_predictions_loss: 0.5204 127/883 [===>..........................] - ETA: 1:56 - loss: 85.8844 - logits_profile_predictions_loss: 85.0527 - logcount_predictions_loss: 0.5198 128/883 [===>..........................] - ETA: 1:56 - loss: 85.9218 - logits_profile_predictions_loss: 85.0909 - logcount_predictions_loss: 0.5194 129/883 [===>..........................] - ETA: 1:56 - loss: 86.0523 - logits_profile_predictions_loss: 85.2228 - logcount_predictions_loss: 0.5185 130/883 [===>..........................] - ETA: 1:56 - loss: 85.9881 - logits_profile_predictions_loss: 85.1585 - logcount_predictions_loss: 0.5185 131/883 [===>..........................] - ETA: 1:56 - loss: 85.9445 - logits_profile_predictions_loss: 85.1132 - logcount_predictions_loss: 0.5196 132/883 [===>..........................] - ETA: 1:55 - loss: 85.8409 - logits_profile_predictions_loss: 85.0094 - 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3s - loss: 86.4872 - logits_profile_predictions_loss: 85.6325 - logcount_predictions_loss: 0.5342 859/883 [============================>.] - ETA: 3s - loss: 86.4903 - logits_profile_predictions_loss: 85.6357 - logcount_predictions_loss: 0.5341 860/883 [============================>.] - ETA: 3s - loss: 86.4807 - logits_profile_predictions_loss: 85.6263 - logcount_predictions_loss: 0.5340 861/883 [============================>.] - ETA: 3s - loss: 86.4876 - logits_profile_predictions_loss: 85.6333 - logcount_predictions_loss: 0.5339 862/883 [============================>.] - ETA: 3s - loss: 86.4980 - logits_profile_predictions_loss: 85.6436 - logcount_predictions_loss: 0.5340 863/883 [============================>.] - ETA: 3s - loss: 86.4865 - logits_profile_predictions_loss: 85.6321 - logcount_predictions_loss: 0.5340 864/883 [============================>.] - ETA: 2s - loss: 86.4936 - logits_profile_predictions_loss: 85.6392 - logcount_predictions_loss: 0.5339 865/883 [============================>.] - ETA: 2s - loss: 86.4930 - logits_profile_predictions_loss: 85.6385 - logcount_predictions_loss: 0.5340 866/883 [============================>.] - ETA: 2s - loss: 86.4982 - logits_profile_predictions_loss: 85.6437 - logcount_predictions_loss: 0.5340 867/883 [============================>.] - ETA: 2s - loss: 86.5006 - logits_profile_predictions_loss: 85.6464 - logcount_predictions_loss: 0.5338 868/883 [============================>.] - ETA: 2s - loss: 86.5047 - logits_profile_predictions_loss: 85.6505 - logcount_predictions_loss: 0.5339 869/883 [============================>.] - ETA: 2s - loss: 86.5070 - logits_profile_predictions_loss: 85.6525 - logcount_predictions_loss: 0.5340 870/883 [============================>.] - ETA: 2s - loss: 86.5031 - logits_profile_predictions_loss: 85.6487 - logcount_predictions_loss: 0.5340 871/883 [============================>.] - ETA: 1s - loss: 86.4887 - logits_profile_predictions_loss: 85.6341 - logcount_predictions_loss: 0.5341 872/883 [============================>.] - ETA: 1s - loss: 86.5109 - logits_profile_predictions_loss: 85.6562 - logcount_predictions_loss: 0.5342 873/883 [============================>.] - ETA: 1s - loss: 86.4953 - logits_profile_predictions_loss: 85.6400 - logcount_predictions_loss: 0.5345 874/883 [============================>.] - ETA: 1s - loss: 86.4902 - logits_profile_predictions_loss: 85.6348 - logcount_predictions_loss: 0.5346 875/883 [============================>.] - ETA: 1s - loss: 86.4822 - logits_profile_predictions_loss: 85.6269 - logcount_predictions_loss: 0.5346 876/883 [============================>.] - ETA: 1s - loss: 86.4790 - logits_profile_predictions_loss: 85.6235 - logcount_predictions_loss: 0.5347 877/883 [============================>.] - ETA: 0s - loss: 86.4743 - logits_profile_predictions_loss: 85.6188 - logcount_predictions_loss: 0.5347 878/883 [============================>.] - ETA: 0s - loss: 86.4880 - logits_profile_predictions_loss: 85.6325 - logcount_predictions_loss: 0.5347 879/883 [============================>.] - ETA: 0s - loss: 86.4854 - logits_profile_predictions_loss: 85.6302 - logcount_predictions_loss: 0.5345 880/883 [============================>.] - ETA: 0s - loss: 86.4852 - logits_profile_predictions_loss: 85.6298 - logcount_predictions_loss: 0.5346 881/883 [============================>.] - ETA: 0s - loss: 86.4847 - logits_profile_predictions_loss: 85.6293 - logcount_predictions_loss: 0.5346 882/883 [============================>.] - ETA: 0s - loss: 86.4870 - logits_profile_predictions_loss: 85.6319 - logcount_predictions_loss: 0.5344 883/883 [==============================] - ETA: 0s - loss: 86.5059 - logits_profile_predictions_loss: 85.6510 - logcount_predictions_loss: 0.5343 Epoch 10: val_loss did not improve from 102.71559 Restoring model weights from the end of the best epoch: 5.  883/883 [==============================] - 142s 160ms/step - loss: 86.5059 - logits_profile_predictions_loss: 85.6510 - logcount_predictions_loss: 0.5343 - val_loss: 104.5616 - val_logits_profile_predictions_loss: 103.7126 - val_logcount_predictions_loss: 0.5306 Epoch 10: early stopping save model save model without bias got the model loading peaks... got split:test for bed regions:(14777, 10) 0/231 100/231 200/231 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 1/231 [..............................] - ETA: 43s 2/231 [..............................] - ETA: 11s 3/231 [..............................] - ETA: 12s 4/231 [..............................] - ETA: 12s 5/231 [..............................] - ETA: 12s 6/231 [..............................] - ETA: 12s 7/231 [..............................] - ETA: 12s 8/231 [>.............................] - ETA: 12s 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[===========================>..] - ETA: 0s 218/231 [===========================>..] - ETA: 0s 219/231 [===========================>..] - ETA: 0s 220/231 [===========================>..] - ETA: 0s 221/231 [===========================>..] - ETA: 0s 222/231 [===========================>..] - ETA: 0s 223/231 [===========================>..] - ETA: 0s 224/231 [============================>.] - ETA: 0s 225/231 [============================>.] - ETA: 0s 226/231 [============================>.] - ETA: 0s 227/231 [============================>.] - ETA: 0s 228/231 [============================>.] - ETA: 0s 229/231 [============================>.] - ETA: 0s 230/231 [============================>.] - ETA: 0s 231/231 [==============================] - ETA: 0s 231/231 [==============================] - 13s 55ms/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