Live Estimating enzyme shift in input file Current estimated shift: +4/-4 awk -v OFS="\t" '{if ($6=="+"){print $1,$2+0,$3,$4,$5,$6} else if ($6=="-") {print $1,$2,$3+0,$4,$5,$6}}' | sort -k1,1 | bedtools genomecov -bg -5 -i stdin -g /oak/stanford/groups/akundaje/soumyak/refs/hg38/GRCh38_EBV.chrom.sizes.tsv | LC_COLLATE="C" sort -k1,1 -k2,2n Making BedGraph (Filter chromosomes not in reference fasta) Making Bigwig non zero bigwig entries in the given chromosome: 141873 evaluating hyperparameters on the following chromosomes ['chr1', 'chr3', 'chr4', 'chr5', 'chr6', 'chr7', 'chr10', 'chr11', 'chr13', 'chr14', 'chr15', 'chr18', 'chr19', 'chr20', 'chr21', 'chr22', 'chrX', 'chrY', 'chr12', 'chr17'] Number of peaks input: 64799 Number of peaks filtered because the input/output is on the edge: 0 Number of peaks being used: 64799 Number of peaks input: 16300 Number of peaks filtered because the input/output is on the edge: 0 Number of peaks being used: 16300 Number of non peaks input: 129598 Number of non peaks filtered because the input/output is on the edge: 0 Number of non peaks being used: 129598 Number of non peaks input: 16300 Number of non peaks filtered because the input/output is on the edge: 0 Number of non peaks being used: 16300 Number of peaks after removing outliers: 64791 Number of nonpeaks after removing outliers: 26540 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 1/830 [..............................] - ETA: 31:09 14/830 [..............................] - ETA: 3s  27/830 [..............................] - ETA: 3s 40/830 [>.............................] - ETA: 3s 53/830 [>.............................] - ETA: 3s 66/830 [=>............................] - ETA: 3s 79/830 [=>............................] - ETA: 3s 92/830 [==>...........................] - ETA: 3s 105/830 [==>...........................] - ETA: 2s 118/830 [===>..........................] - ETA: 2s 131/830 [===>..........................] - ETA: 2s 144/830 [====>.........................] - ETA: 2s 157/830 [====>.........................] - ETA: 2s 170/830 [=====>........................] 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[======================>.......] - ETA: 0s 675/830 [=======================>......] - ETA: 0s 688/830 [=======================>......] - ETA: 0s 701/830 [========================>.....] - ETA: 0s 714/830 [========================>.....] - ETA: 0s 727/830 [=========================>....] - ETA: 0s 740/830 [=========================>....] - ETA: 0s 753/830 [==========================>...] - ETA: 0s 766/830 [==========================>...] - ETA: 0s 779/830 [===========================>..] - ETA: 0s 792/830 [===========================>..] - ETA: 0s 805/830 [============================>.] - ETA: 0s 818/830 [============================>.] - ETA: 0s 830/830 [==============================] - ETA: 0s 830/830 [==============================] - 6s 5ms/step got the model loading peaks... got split:test for bed regions:(16300, 10) 0/255 100/255 200/255 Bias model pearsonr performance in peaks is: -0.09 {'counts_loss_weight': '2.3', 'filters': '512', 'n_dil_layers': '8', 'bias_model_path': '/oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/trevino_2021/K562_bias/trevino_2021.c21/fold_1/models/bias_model_scaled.h5', 'inputlen': '2114', 'outputlen': '1000', 'max_jitter': '500', 'chr_fold_path': '/oak/stanford/groups/akundaje/soumyak/refs/hg38/splits/fold_1.json', 'negative_sampling_ratio': '0.1'} got the model loading peaks... got split:train for bed regions:(57044, 10) loading nonpeaks... got split:train for bed regions:(22950, 10) loading peaks... got split:valid for bed regions:(7747, 10) loading nonpeaks... got split:valid for bed regions:(3590, 10) Epoch 1/50 1/981 [..............................] - ETA: 1:19:45 - loss: 112.8422 - logits_profile_predictions_loss: 104.4727 - logcount_predictions_loss: 3.6389 2/981 [..............................] - ETA: 2:15 - loss: 3524.7561 - logits_profile_predictions_loss: 103.8662 - logcount_predictions_loss: 1487.3434 3/981 [..............................] - ETA: 2:14 - loss: 2386.0374 - logits_profile_predictions_loss: 104.6298 - logcount_predictions_loss: 991.9163  4/981 [..............................] - ETA: 2:13 - loss: 1809.7385 - logits_profile_predictions_loss: 97.2261 - logcount_predictions_loss: 744.5706  5/981 [..............................] - ETA: 2:13 - loss: 1469.1233 - logits_profile_predictions_loss: 97.3875 - logcount_predictions_loss: 596.4069 6/981 [..............................] - ETA: 2:13 - loss: 1244.1840 - logits_profile_predictions_loss: 99.4550 - logcount_predictions_loss: 497.7083 7/981 [..............................] - ETA: 2:13 - loss: 1084.6444 - logits_profile_predictions_loss: 101.9567 - logcount_predictions_loss: 427.2556 8/981 [..............................] - ETA: 2:13 - loss: 964.6608 - logits_profile_predictions_loss: 103.5299 - logcount_predictions_loss: 374.4048  9/981 [..............................] - ETA: 2:13 - loss: 870.3277 - logits_profile_predictions_loss: 103.8086 - logcount_predictions_loss: 333.2692 10/981 [..............................] - ETA: 2:12 - loss: 793.8849 - logits_profile_predictions_loss: 103.1897 - logcount_predictions_loss: 300.3023 11/981 [..............................] - ETA: 2:12 - loss: 732.5988 - logits_profile_predictions_loss: 103.8042 - logcount_predictions_loss: 273.3890 12/981 [..............................] - ETA: 2:12 - loss: 681.2559 - logits_profile_predictions_loss: 104.0863 - logcount_predictions_loss: 250.9433 13/981 [..............................] - ETA: 2:12 - loss: 638.3423 - logits_profile_predictions_loss: 104.8341 - logcount_predictions_loss: 231.9601 14/981 [..............................] - ETA: 2:12 - loss: 601.6940 - logits_profile_predictions_loss: 105.6219 - logcount_predictions_loss: 215.6835 15/981 [..............................] - ETA: 2:12 - loss: 569.7814 - logits_profile_predictions_loss: 106.1787 - logcount_predictions_loss: 201.5664 16/981 [..............................] - ETA: 2:12 - loss: 540.8010 - logits_profile_predictions_loss: 105.7244 - logcount_predictions_loss: 189.1638 17/981 [..............................] - ETA: 2:11 - loss: 515.6139 - logits_profile_predictions_loss: 105.7199 - logcount_predictions_loss: 178.2148 18/981 [..............................] - ETA: 2:11 - loss: 493.6750 - logits_profile_predictions_loss: 106.1905 - logcount_predictions_loss: 168.4715 19/981 [..............................] - ETA: 2:11 - loss: 474.6775 - logits_profile_predictions_loss: 107.3031 - logcount_predictions_loss: 159.7280 20/981 [..............................] - ETA: 2:11 - loss: 455.4597 - logits_profile_predictions_loss: 106.2943 - logcount_predictions_loss: 151.8110 21/981 [..............................] - ETA: 2:11 - loss: 439.7950 - logits_profile_predictions_loss: 107.1073 - logcount_predictions_loss: 144.6468 22/981 [..............................] - ETA: 2:11 - loss: 424.9811 - logits_profile_predictions_loss: 107.2129 - logcount_predictions_loss: 138.1601 23/981 [..............................] - ETA: 2:10 - loss: 411.3657 - logits_profile_predictions_loss: 107.2377 - logcount_predictions_loss: 132.2296 24/981 [..............................] - ETA: 2:10 - loss: 399.6507 - logits_profile_predictions_loss: 108.0675 - logcount_predictions_loss: 126.7753 25/981 [..............................] - ETA: 2:10 - loss: 388.3868 - logits_profile_predictions_loss: 108.3358 - logcount_predictions_loss: 121.7613 26/981 [..............................] - ETA: 2:10 - loss: 377.5124 - logits_profile_predictions_loss: 108.1125 - logcount_predictions_loss: 117.1304 27/981 [..............................] - ETA: 2:10 - loss: 367.3817 - logits_profile_predictions_loss: 107.8321 - logcount_predictions_loss: 112.8477 28/981 [..............................] - ETA: 2:10 - loss: 358.2865 - logits_profile_predictions_loss: 107.8808 - logcount_predictions_loss: 108.8720 29/981 [..............................] - ETA: 2:10 - loss: 349.3957 - logits_profile_predictions_loss: 107.5261 - logcount_predictions_loss: 105.1607 30/981 [..............................] - ETA: 2:09 - loss: 341.5041 - logits_profile_predictions_loss: 107.5816 - logcount_predictions_loss: 101.7054 31/981 [..............................] - ETA: 2:09 - loss: 333.3220 - logits_profile_predictions_loss: 106.8631 - logcount_predictions_loss: 98.4604  32/981 [..............................] - ETA: 2:09 - loss: 326.2591 - logits_profile_predictions_loss: 106.8066 - logcount_predictions_loss: 95.4141 33/981 [>.............................] - ETA: 2:09 - loss: 319.6677 - logits_profile_predictions_loss: 106.7751 - logcount_predictions_loss: 92.5620 34/981 [>.............................] - ETA: 2:09 - loss: 313.8093 - logits_profile_predictions_loss: 107.0820 - logcount_predictions_loss: 89.8814 35/981 [>.............................] - ETA: 2:09 - loss: 308.2802 - logits_profile_predictions_loss: 107.3711 - logcount_predictions_loss: 87.3518 36/981 [>.............................] - ETA: 2:09 - loss: 302.3159 - logits_profile_predictions_loss: 106.8932 - logcount_predictions_loss: 84.9664 37/981 [>.............................] - ETA: 2:08 - loss: 297.0631 - logits_profile_predictions_loss: 106.8333 - logcount_predictions_loss: 82.7086 38/981 [>.............................] - ETA: 2:08 - loss: 291.4422 - logits_profile_predictions_loss: 106.1347 - logcount_predictions_loss: 80.5685 39/981 [>.............................] - ETA: 2:08 - loss: 286.5116 - logits_profile_predictions_loss: 105.8864 - logcount_predictions_loss: 78.5327 40/981 [>.............................] - ETA: 2:08 - loss: 281.4517 - logits_profile_predictions_loss: 105.2875 - logcount_predictions_loss: 76.5931 41/981 [>.............................] - ETA: 2:08 - loss: 277.1107 - logits_profile_predictions_loss: 105.1715 - logcount_predictions_loss: 74.7562 42/981 [>.............................] - ETA: 2:08 - loss: 273.0847 - logits_profile_predictions_loss: 105.1518 - logcount_predictions_loss: 73.0143 43/981 [>.............................] - ETA: 2:07 - loss: 269.2022 - logits_profile_predictions_loss: 105.1005 - logcount_predictions_loss: 71.3485 44/981 [>.............................] - ETA: 2:07 - loss: 265.3124 - logits_profile_predictions_loss: 104.8761 - logcount_predictions_loss: 69.7549 45/981 [>.............................] - ETA: 2:07 - loss: 261.8837 - logits_profile_predictions_loss: 104.9406 - logcount_predictions_loss: 68.2361 46/981 [>.............................] - ETA: 2:07 - loss: 258.4933 - logits_profile_predictions_loss: 104.8884 - logcount_predictions_loss: 66.7847 47/981 [>.............................] - ETA: 2:07 - loss: 255.2442 - logits_profile_predictions_loss: 104.8368 - logcount_predictions_loss: 65.3945 48/981 [>.............................] - ETA: 2:07 - loss: 251.9654 - logits_profile_predictions_loss: 104.6300 - logcount_predictions_loss: 64.0588 49/981 [>.............................] - ETA: 2:07 - loss: 249.1983 - logits_profile_predictions_loss: 104.8187 - logcount_predictions_loss: 62.7737 50/981 [>.............................] - ETA: 2:06 - loss: 246.3426 - logits_profile_predictions_loss: 104.7991 - logcount_predictions_loss: 61.5406 51/981 [>.............................] - ETA: 2:06 - loss: 243.6954 - logits_profile_predictions_loss: 104.8391 - logcount_predictions_loss: 60.3723 52/981 [>.............................] - ETA: 2:06 - loss: 240.9580 - logits_profile_predictions_loss: 104.7305 - logcount_predictions_loss: 59.2293 53/981 [>.............................] - ETA: 2:06 - loss: 238.9013 - logits_profile_predictions_loss: 105.1840 - logcount_predictions_loss: 58.1379 54/981 [>.............................] - ETA: 2:06 - loss: 236.2004 - logits_profile_predictions_loss: 104.9127 - logcount_predictions_loss: 57.0816 55/981 [>.............................] - ETA: 2:06 - loss: 233.8289 - logits_profile_predictions_loss: 104.8773 - logcount_predictions_loss: 56.0659 56/981 [>.............................] - ETA: 2:05 - loss: 231.1859 - logits_profile_predictions_loss: 104.4839 - logcount_predictions_loss: 55.0878 57/981 [>.............................] - ETA: 2:05 - loss: 228.9672 - logits_profile_predictions_loss: 104.4292 - logcount_predictions_loss: 54.1469 58/981 [>.............................] - ETA: 2:05 - loss: 226.6000 - logits_profile_predictions_loss: 104.1628 - logcount_predictions_loss: 53.2336 59/981 [>.............................] - ETA: 2:06 - loss: 224.7029 - logits_profile_predictions_loss: 104.2899 - logcount_predictions_loss: 52.3534 60/981 [>.............................] - ETA: 2:06 - loss: 223.0135 - logits_profile_predictions_loss: 104.5550 - logcount_predictions_loss: 51.5037 61/981 [>.............................] - ETA: 2:06 - loss: 221.2059 - logits_profile_predictions_loss: 104.6416 - logcount_predictions_loss: 50.6801 62/981 [>.............................] - ETA: 2:06 - loss: 219.4746 - logits_profile_predictions_loss: 104.7537 - logcount_predictions_loss: 49.8787 63/981 [>.............................] - ETA: 2:06 - loss: 217.4128 - logits_profile_predictions_loss: 104.4746 - logcount_predictions_loss: 49.1035 64/981 [>.............................] - ETA: 2:05 - loss: 215.3927 - logits_profile_predictions_loss: 104.1809 - logcount_predictions_loss: 48.3529 65/981 [>.............................] - ETA: 2:05 - loss: 213.8849 - logits_profile_predictions_loss: 104.3481 - logcount_predictions_loss: 47.6247 66/981 [=>............................] - ETA: 2:05 - loss: 212.3771 - logits_profile_predictions_loss: 104.4593 - logcount_predictions_loss: 46.9207 67/981 [=>............................] - ETA: 2:05 - loss: 210.5813 - logits_profile_predictions_loss: 104.2292 - logcount_predictions_loss: 46.2401 68/981 [=>............................] - ETA: 2:05 - loss: 209.2356 - logits_profile_predictions_loss: 104.4003 - logcount_predictions_loss: 45.5805 69/981 [=>............................] - ETA: 2:05 - loss: 207.5079 - logits_profile_predictions_loss: 104.1576 - logcount_predictions_loss: 44.9349 70/981 [=>............................] - ETA: 2:05 - loss: 205.9875 - logits_profile_predictions_loss: 104.0718 - logcount_predictions_loss: 44.3112 71/981 [=>............................] - ETA: 2:04 - loss: 204.5667 - logits_profile_predictions_loss: 104.0499 - logcount_predictions_loss: 43.7029 72/981 [=>............................] - ETA: 2:04 - loss: 203.1329 - logits_profile_predictions_loss: 103.9716 - logcount_predictions_loss: 43.1136 73/981 [=>............................] - ETA: 2:04 - loss: 201.7928 - logits_profile_predictions_loss: 103.9526 - logcount_predictions_loss: 42.5392 74/981 [=>............................] - ETA: 2:04 - loss: 200.5452 - logits_profile_predictions_loss: 103.9829 - logcount_predictions_loss: 41.9836 75/981 [=>............................] - ETA: 2:04 - loss: 199.3291 - logits_profile_predictions_loss: 104.0152 - logcount_predictions_loss: 41.4408 76/981 [=>............................] - ETA: 2:04 - loss: 198.2446 - logits_profile_predictions_loss: 104.1370 - logcount_predictions_loss: 40.9163 77/981 [=>............................] - ETA: 2:04 - loss: 196.9829 - logits_profile_predictions_loss: 104.0571 - logcount_predictions_loss: 40.4025 78/981 [=>............................] - ETA: 2:03 - loss: 195.7519 - logits_profile_predictions_loss: 103.9731 - logcount_predictions_loss: 39.9038 79/981 [=>............................] - ETA: 2:03 - loss: 194.6648 - logits_profile_predictions_loss: 104.0111 - logcount_predictions_loss: 39.4146 80/981 [=>............................] - ETA: 2:03 - loss: 193.6489 - logits_profile_predictions_loss: 104.0930 - logcount_predictions_loss: 38.9373 81/981 [=>............................] - ETA: 2:03 - loss: 192.6560 - logits_profile_predictions_loss: 104.1652 - logcount_predictions_loss: 38.4742 82/981 [=>............................] - ETA: 2:03 - loss: 191.4022 - logits_profile_predictions_loss: 103.9598 - logcount_predictions_loss: 38.0184 83/981 [=>............................] - ETA: 2:03 - loss: 190.4976 - logits_profile_predictions_loss: 104.0768 - logcount_predictions_loss: 37.5742 84/981 [=>............................] - ETA: 2:02 - loss: 189.3212 - logits_profile_predictions_loss: 103.8870 - logcount_predictions_loss: 37.1453 85/981 [=>............................] - ETA: 2:02 - loss: 188.4763 - logits_profile_predictions_loss: 104.0138 - logcount_predictions_loss: 36.7228 86/981 [=>............................] - ETA: 2:02 - loss: 187.3687 - logits_profile_predictions_loss: 103.8566 - logcount_predictions_loss: 36.3096 87/981 [=>............................] - ETA: 2:02 - loss: 186.3671 - logits_profile_predictions_loss: 103.7903 - logcount_predictions_loss: 35.9029 88/981 [=>............................] - ETA: 2:02 - loss: 185.4571 - logits_profile_predictions_loss: 103.7872 - logcount_predictions_loss: 35.5087 89/981 [=>............................] - ETA: 2:02 - loss: 184.5576 - logits_profile_predictions_loss: 103.7743 - logcount_predictions_loss: 35.1232 90/981 [=>............................] - ETA: 2:02 - loss: 183.5740 - logits_profile_predictions_loss: 103.6637 - logcount_predictions_loss: 34.7436 91/981 [=>............................] - ETA: 2:01 - loss: 182.6425 - logits_profile_predictions_loss: 103.5808 - logcount_predictions_loss: 34.3746 92/981 [=>............................] - ETA: 2:01 - loss: 181.7637 - logits_profile_predictions_loss: 103.5248 - logcount_predictions_loss: 34.0169 93/981 [=>............................] - ETA: 2:01 - loss: 181.0012 - logits_profile_predictions_loss: 103.5711 - logcount_predictions_loss: 33.6652 94/981 [=>............................] - ETA: 2:01 - loss: 180.3827 - logits_profile_predictions_loss: 103.7458 - logcount_predictions_loss: 33.3204 95/981 [=>............................] - ETA: 2:01 - loss: 179.5832 - logits_profile_predictions_loss: 103.7240 - logcount_predictions_loss: 32.9823 96/981 [=>............................] - ETA: 2:01 - loss: 178.8479 - logits_profile_predictions_loss: 103.7459 - logcount_predictions_loss: 32.6530 97/981 [=>............................] - ETA: 2:01 - loss: 178.1261 - logits_profile_predictions_loss: 103.7823 - logcount_predictions_loss: 32.3234 98/981 [=>............................] - ETA: 2:01 - loss: 177.4413 - logits_profile_predictions_loss: 103.8232 - logcount_predictions_loss: 32.0078 99/981 [==>...........................] - ETA: 2:01 - loss: 176.8263 - logits_profile_predictions_loss: 103.9279 - logcount_predictions_loss: 31.6949 100/981 [==>...........................] - ETA: 2:00 - loss: 175.9710 - logits_profile_predictions_loss: 103.7653 - logcount_predictions_loss: 31.3938 101/981 [==>...........................] - ETA: 2:00 - loss: 175.1315 - logits_profile_predictions_loss: 103.6118 - logcount_predictions_loss: 31.0955 102/981 [==>...........................] - ETA: 2:00 - loss: 174.5964 - logits_profile_predictions_loss: 103.7486 - logcount_predictions_loss: 30.8034 103/981 [==>...........................] - ETA: 2:00 - loss: 173.8342 - logits_profile_predictions_loss: 103.6504 - logcount_predictions_loss: 30.5147 104/981 [==>...........................] - ETA: 2:00 - loss: 173.2342 - logits_profile_predictions_loss: 103.6959 - logcount_predictions_loss: 30.2340 105/981 [==>...........................] - ETA: 2:00 - loss: 172.5650 - logits_profile_predictions_loss: 103.6626 - logcount_predictions_loss: 29.9575 106/981 [==>...........................] - ETA: 2:00 - loss: 172.0194 - logits_profile_predictions_loss: 103.7415 - logcount_predictions_loss: 29.6860 107/981 [==>...........................] - ETA: 1:59 - loss: 171.4034 - logits_profile_predictions_loss: 103.7346 - logcount_predictions_loss: 29.4212 108/981 [==>...........................] - ETA: 1:59 - loss: 170.9295 - 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[..............................] - ETA: 2:09 - loss: 100.8462 - logits_profile_predictions_loss: 98.6006 - logcount_predictions_loss: 0.9763 31/981 [..............................] - ETA: 2:09 - loss: 101.1489 - logits_profile_predictions_loss: 98.9103 - logcount_predictions_loss: 0.9733 32/981 [..............................] - ETA: 2:09 - loss: 101.1784 - logits_profile_predictions_loss: 98.9313 - logcount_predictions_loss: 0.9770 33/981 [>.............................] - ETA: 2:09 - loss: 100.7618 - logits_profile_predictions_loss: 98.5059 - logcount_predictions_loss: 0.9808 34/981 [>.............................] - ETA: 2:09 - loss: 101.0913 - logits_profile_predictions_loss: 98.8240 - logcount_predictions_loss: 0.9858 35/981 [>.............................] - ETA: 2:08 - loss: 101.3654 - logits_profile_predictions_loss: 99.0843 - logcount_predictions_loss: 0.9918 36/981 [>.............................] - ETA: 2:08 - loss: 101.6486 - logits_profile_predictions_loss: 99.3760 - 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[>.............................] - ETA: 2:06 - loss: 101.0912 - logits_profile_predictions_loss: 98.8320 - logcount_predictions_loss: 0.9823 51/981 [>.............................] - ETA: 2:06 - loss: 101.0002 - logits_profile_predictions_loss: 98.7416 - logcount_predictions_loss: 0.9820 52/981 [>.............................] - ETA: 2:06 - loss: 100.9395 - logits_profile_predictions_loss: 98.6858 - logcount_predictions_loss: 0.9799 53/981 [>.............................] - ETA: 2:06 - loss: 100.8369 - logits_profile_predictions_loss: 98.5771 - logcount_predictions_loss: 0.9825 54/981 [>.............................] - ETA: 2:05 - loss: 100.6939 - logits_profile_predictions_loss: 98.4478 - logcount_predictions_loss: 0.9766 55/981 [>.............................] - ETA: 2:05 - loss: 100.5291 - logits_profile_predictions_loss: 98.2877 - logcount_predictions_loss: 0.9746 56/981 [>.............................] - ETA: 2:05 - loss: 100.4268 - logits_profile_predictions_loss: 98.1827 - 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[=>............................] - ETA: 2:03 - loss: 101.6337 - logits_profile_predictions_loss: 99.3863 - logcount_predictions_loss: 0.9771 71/981 [=>............................] - ETA: 2:03 - loss: 101.6276 - logits_profile_predictions_loss: 99.3812 - logcount_predictions_loss: 0.9767 72/981 [=>............................] - ETA: 2:03 - loss: 101.7959 - logits_profile_predictions_loss: 99.5543 - logcount_predictions_loss: 0.9746 73/981 [=>............................] - ETA: 2:03 - loss: 101.8416 - logits_profile_predictions_loss: 99.5977 - logcount_predictions_loss: 0.9756 74/981 [=>............................] - ETA: 2:03 - loss: 101.6639 - logits_profile_predictions_loss: 99.4165 - logcount_predictions_loss: 0.9771 75/981 [=>............................] - ETA: 2:02 - loss: 101.5686 - logits_profile_predictions_loss: 99.3153 - logcount_predictions_loss: 0.9797 76/981 [=>............................] - ETA: 2:02 - loss: 101.5377 - logits_profile_predictions_loss: 99.2703 - 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[=>............................] - ETA: 2:01 - loss: 100.7614 - logits_profile_predictions_loss: 98.4992 - logcount_predictions_loss: 0.9836 91/981 [=>............................] - ETA: 2:01 - loss: 100.6979 - logits_profile_predictions_loss: 98.4440 - logcount_predictions_loss: 0.9800 92/981 [=>............................] - ETA: 2:00 - loss: 100.9824 - logits_profile_predictions_loss: 98.7293 - logcount_predictions_loss: 0.9796 93/981 [=>............................] - ETA: 2:00 - loss: 100.9674 - logits_profile_predictions_loss: 98.7076 - logcount_predictions_loss: 0.9826 94/981 [=>............................] - ETA: 2:00 - loss: 101.0593 - logits_profile_predictions_loss: 98.8041 - logcount_predictions_loss: 0.9805 95/981 [=>............................] - ETA: 2:00 - loss: 101.0991 - logits_profile_predictions_loss: 98.8482 - logcount_predictions_loss: 0.9787 96/981 [=>............................] - ETA: 2:00 - loss: 101.0765 - logits_profile_predictions_loss: 98.8258 - 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[============================>.] - ETA: 2s - loss: 100.5080 - logits_profile_predictions_loss: 98.3689 - logcount_predictions_loss: 0.9301 965/981 [============================>.] - ETA: 2s - loss: 100.5004 - logits_profile_predictions_loss: 98.3617 - logcount_predictions_loss: 0.9299 966/981 [============================>.] - ETA: 2s - loss: 100.4864 - logits_profile_predictions_loss: 98.3479 - logcount_predictions_loss: 0.9298 967/981 [============================>.] - ETA: 1s - loss: 100.4744 - logits_profile_predictions_loss: 98.3362 - logcount_predictions_loss: 0.9297 968/981 [============================>.] - ETA: 1s - loss: 100.4750 - logits_profile_predictions_loss: 98.3370 - logcount_predictions_loss: 0.9296 969/981 [============================>.] - ETA: 1s - loss: 100.4843 - logits_profile_predictions_loss: 98.3467 - logcount_predictions_loss: 0.9294 970/981 [============================>.] - ETA: 1s - loss: 100.4980 - logits_profile_predictions_loss: 98.3606 - 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logits_profile_predictions_loss: 98.3457 - logcount_predictions_loss: 0.9282 978/981 [============================>.] - ETA: 0s - loss: 100.4849 - logits_profile_predictions_loss: 98.3500 - logcount_predictions_loss: 0.9282 979/981 [============================>.] - ETA: 0s - loss: 100.4809 - logits_profile_predictions_loss: 98.3461 - logcount_predictions_loss: 0.9282 980/981 [============================>.] - ETA: 0s - loss: 100.4893 - logits_profile_predictions_loss: 98.3543 - logcount_predictions_loss: 0.9283 981/981 [==============================] - ETA: 0s - loss: 100.4755 - logits_profile_predictions_loss: 98.3411 - logcount_predictions_loss: 0.9280 Epoch 2: val_loss improved from 117.89006 to 115.94607, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/trevino_2021/K562_bias/trevino_2021.c21/fold_1/models/chrombpnet.h5  981/981 [==============================] - 146s 149ms/step - loss: 100.4755 - logits_profile_predictions_loss: 98.3411 - logcount_predictions_loss: 0.9280 - val_loss: 115.9461 - val_logits_profile_predictions_loss: 113.4070 - val_logcount_predictions_loss: 1.1039 Epoch 3/50 1/981 [..............................] - ETA: 2:26 - loss: 103.4677 - logits_profile_predictions_loss: 101.2562 - logcount_predictions_loss: 0.9615 2/981 [..............................] - ETA: 2:13 - loss: 97.2599 - logits_profile_predictions_loss: 95.2211 - logcount_predictions_loss: 0.8865  3/981 [..............................] - ETA: 2:13 - loss: 91.6259 - logits_profile_predictions_loss: 89.6843 - logcount_predictions_loss: 0.8442 4/981 [..............................] - ETA: 2:13 - loss: 90.3189 - logits_profile_predictions_loss: 88.4306 - logcount_predictions_loss: 0.8210 5/981 [..............................] - ETA: 2:13 - loss: 90.3655 - logits_profile_predictions_loss: 88.5278 - logcount_predictions_loss: 0.7990 6/981 [..............................] - ETA: 2:12 - loss: 93.9513 - logits_profile_predictions_loss: 92.1870 - 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logits_profile_predictions_loss: 93.4269 - logcount_predictions_loss: 0.8286 14/981 [..............................] - ETA: 2:11 - loss: 97.1978 - logits_profile_predictions_loss: 95.2571 - logcount_predictions_loss: 0.8438 15/981 [..............................] - ETA: 2:11 - loss: 96.5837 - logits_profile_predictions_loss: 94.6230 - logcount_predictions_loss: 0.8525 16/981 [..............................] - ETA: 2:11 - loss: 96.3411 - logits_profile_predictions_loss: 94.3859 - logcount_predictions_loss: 0.8501 17/981 [..............................] - ETA: 2:11 - loss: 97.9843 - logits_profile_predictions_loss: 96.0128 - logcount_predictions_loss: 0.8572 18/981 [..............................] - ETA: 2:11 - loss: 98.5918 - logits_profile_predictions_loss: 96.6482 - logcount_predictions_loss: 0.8450 19/981 [..............................] - ETA: 2:11 - loss: 98.6398 - logits_profile_predictions_loss: 96.5911 - logcount_predictions_loss: 0.8908 20/981 [..............................] - 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[..............................] - ETA: 2:10 - loss: 97.5300 - logits_profile_predictions_loss: 95.3697 - logcount_predictions_loss: 0.9392 28/981 [..............................] - ETA: 2:09 - loss: 98.0275 - logits_profile_predictions_loss: 95.8695 - logcount_predictions_loss: 0.9383 29/981 [..............................] - ETA: 2:09 - loss: 98.0511 - logits_profile_predictions_loss: 95.8704 - logcount_predictions_loss: 0.9481 30/981 [..............................] - ETA: 2:09 - loss: 97.9774 - logits_profile_predictions_loss: 95.8078 - logcount_predictions_loss: 0.9433 31/981 [..............................] - ETA: 2:09 - loss: 97.5502 - logits_profile_predictions_loss: 95.3899 - logcount_predictions_loss: 0.9393 32/981 [..............................] - ETA: 2:09 - loss: 97.6069 - logits_profile_predictions_loss: 95.4606 - logcount_predictions_loss: 0.9332 33/981 [>.............................] - ETA: 2:09 - loss: 97.5899 - logits_profile_predictions_loss: 95.4487 - 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[>.............................] - ETA: 2:06 - loss: 97.4752 - logits_profile_predictions_loss: 95.3198 - logcount_predictions_loss: 0.9371 55/981 [>.............................] - ETA: 2:05 - loss: 97.5031 - logits_profile_predictions_loss: 95.3474 - logcount_predictions_loss: 0.9373 56/981 [>.............................] - ETA: 2:05 - loss: 97.5443 - logits_profile_predictions_loss: 95.3977 - logcount_predictions_loss: 0.9333 57/981 [>.............................] - ETA: 2:05 - loss: 97.1277 - logits_profile_predictions_loss: 94.9838 - logcount_predictions_loss: 0.9321 58/981 [>.............................] - ETA: 2:05 - loss: 97.0704 - logits_profile_predictions_loss: 94.9250 - logcount_predictions_loss: 0.9328 59/981 [>.............................] - ETA: 2:05 - loss: 97.1596 - logits_profile_predictions_loss: 95.0098 - logcount_predictions_loss: 0.9347 60/981 [>.............................] - ETA: 2:05 - loss: 96.9600 - logits_profile_predictions_loss: 94.8092 - 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[=>............................] - ETA: 2:02 - loss: 97.7429 - logits_profile_predictions_loss: 95.6174 - logcount_predictions_loss: 0.9241 82/981 [=>............................] - ETA: 2:02 - loss: 97.7799 - logits_profile_predictions_loss: 95.6560 - logcount_predictions_loss: 0.9234 83/981 [=>............................] - ETA: 2:02 - loss: 97.9058 - logits_profile_predictions_loss: 95.7830 - logcount_predictions_loss: 0.9230 84/981 [=>............................] - ETA: 2:02 - loss: 97.9460 - logits_profile_predictions_loss: 95.8257 - logcount_predictions_loss: 0.9219 85/981 [=>............................] - ETA: 2:02 - loss: 98.2318 - logits_profile_predictions_loss: 96.1100 - logcount_predictions_loss: 0.9225 86/981 [=>............................] - ETA: 2:02 - loss: 98.4231 - logits_profile_predictions_loss: 96.2976 - logcount_predictions_loss: 0.9241 87/981 [=>............................] - ETA: 2:01 - loss: 98.4086 - logits_profile_predictions_loss: 96.2845 - 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[============================>.] - ETA: 0s - loss: 97.9740 - logits_profile_predictions_loss: 96.0400 - logcount_predictions_loss: 0.8409 981/981 [==============================] - ETA: 0s - loss: 97.9791 - logits_profile_predictions_loss: 96.0456 - logcount_predictions_loss: 0.8407 Epoch 3: val_loss improved from 115.94607 to 113.64159, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/trevino_2021/K562_bias/trevino_2021.c21/fold_1/models/chrombpnet.h5  981/981 [==============================] - 145s 148ms/step - loss: 97.9791 - logits_profile_predictions_loss: 96.0456 - logcount_predictions_loss: 0.8407 - val_loss: 113.6416 - val_logits_profile_predictions_loss: 111.9346 - val_logcount_predictions_loss: 0.7422 Epoch 4/50 1/981 [..............................] - ETA: 2:24 - loss: 93.4923 - logits_profile_predictions_loss: 91.7765 - logcount_predictions_loss: 0.7460 2/981 [..............................] - ETA: 2:13 - loss: 81.0865 - 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[..............................] - ETA: 2:15 - loss: 96.8680 - logits_profile_predictions_loss: 94.9314 - logcount_predictions_loss: 0.8420 17/981 [..............................] - ETA: 2:15 - loss: 98.2697 - logits_profile_predictions_loss: 96.3283 - logcount_predictions_loss: 0.8441 18/981 [..............................] - ETA: 2:14 - loss: 99.1273 - logits_profile_predictions_loss: 97.1953 - logcount_predictions_loss: 0.8400 19/981 [..............................] - ETA: 2:14 - loss: 99.3952 - logits_profile_predictions_loss: 97.4890 - logcount_predictions_loss: 0.8288 20/981 [..............................] - ETA: 2:14 - loss: 99.0224 - logits_profile_predictions_loss: 97.1452 - logcount_predictions_loss: 0.8162 21/981 [..............................] - ETA: 2:13 - loss: 98.9331 - logits_profile_predictions_loss: 97.0329 - logcount_predictions_loss: 0.8262 22/981 [..............................] - ETA: 2:13 - loss: 99.0103 - logits_profile_predictions_loss: 97.0729 - 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[>.............................] - ETA: 2:09 - loss: 97.0374 - logits_profile_predictions_loss: 95.1544 - logcount_predictions_loss: 0.8187 44/981 [>.............................] - ETA: 2:08 - loss: 97.0679 - logits_profile_predictions_loss: 95.1972 - logcount_predictions_loss: 0.8133 45/981 [>.............................] - ETA: 2:08 - loss: 96.9712 - logits_profile_predictions_loss: 95.1050 - logcount_predictions_loss: 0.8114 46/981 [>.............................] - ETA: 2:08 - loss: 97.1541 - logits_profile_predictions_loss: 95.2816 - logcount_predictions_loss: 0.8141 47/981 [>.............................] - ETA: 2:08 - loss: 97.3509 - logits_profile_predictions_loss: 95.4727 - logcount_predictions_loss: 0.8166 48/981 [>.............................] - ETA: 2:08 - loss: 97.7029 - logits_profile_predictions_loss: 95.8263 - logcount_predictions_loss: 0.8159 49/981 [>.............................] - ETA: 2:07 - loss: 97.4632 - logits_profile_predictions_loss: 95.5842 - 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[=>............................] - ETA: 2:04 - loss: 97.5511 - logits_profile_predictions_loss: 95.6080 - logcount_predictions_loss: 0.8449 71/981 [=>............................] - ETA: 2:04 - loss: 97.5827 - logits_profile_predictions_loss: 95.6437 - logcount_predictions_loss: 0.8430 72/981 [=>............................] - ETA: 2:04 - loss: 97.8142 - logits_profile_predictions_loss: 95.8750 - logcount_predictions_loss: 0.8431 73/981 [=>............................] - ETA: 2:04 - loss: 97.8575 - logits_profile_predictions_loss: 95.9174 - logcount_predictions_loss: 0.8435 74/981 [=>............................] - ETA: 2:04 - loss: 97.9609 - logits_profile_predictions_loss: 96.0154 - logcount_predictions_loss: 0.8459 75/981 [=>............................] - ETA: 2:04 - loss: 98.0739 - logits_profile_predictions_loss: 96.1243 - logcount_predictions_loss: 0.8477 76/981 [=>............................] - ETA: 2:04 - loss: 98.0378 - logits_profile_predictions_loss: 96.0823 - 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[=>............................] - ETA: 2:02 - loss: 97.8213 - logits_profile_predictions_loss: 95.9061 - logcount_predictions_loss: 0.8327 98/981 [=>............................] - ETA: 2:02 - loss: 98.1799 - logits_profile_predictions_loss: 96.2656 - logcount_predictions_loss: 0.8323 99/981 [==>...........................] - ETA: 2:02 - loss: 98.1558 - logits_profile_predictions_loss: 96.2441 - logcount_predictions_loss: 0.8312 100/981 [==>...........................] - ETA: 2:02 - loss: 98.2347 - logits_profile_predictions_loss: 96.3285 - logcount_predictions_loss: 0.8288 101/981 [==>...........................] - ETA: 2:01 - loss: 98.3225 - logits_profile_predictions_loss: 96.4166 - logcount_predictions_loss: 0.8287 102/981 [==>...........................] - ETA: 2:01 - loss: 98.4554 - logits_profile_predictions_loss: 96.5500 - logcount_predictions_loss: 0.8284 103/981 [==>...........................] - ETA: 2:01 - loss: 98.3930 - logits_profile_predictions_loss: 96.4910 - 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[============================>.] - ETA: 1s - loss: 97.2060 - logits_profile_predictions_loss: 95.4032 - logcount_predictions_loss: 0.7838 970/981 [============================>.] - ETA: 1s - loss: 97.2037 - logits_profile_predictions_loss: 95.4006 - logcount_predictions_loss: 0.7840 971/981 [============================>.] - ETA: 1s - loss: 97.1865 - logits_profile_predictions_loss: 95.3838 - logcount_predictions_loss: 0.7838 972/981 [============================>.] - ETA: 1s - loss: 97.1910 - logits_profile_predictions_loss: 95.3877 - logcount_predictions_loss: 0.7840 973/981 [============================>.] - ETA: 1s - loss: 97.1873 - logits_profile_predictions_loss: 95.3840 - logcount_predictions_loss: 0.7840 974/981 [============================>.] - ETA: 0s - loss: 97.1835 - logits_profile_predictions_loss: 95.3805 - logcount_predictions_loss: 0.7839 975/981 [============================>.] - ETA: 0s - loss: 97.1901 - logits_profile_predictions_loss: 95.3872 - logcount_predictions_loss: 0.7838 976/981 [============================>.] - ETA: 0s - loss: 97.1784 - logits_profile_predictions_loss: 95.3752 - logcount_predictions_loss: 0.7840 977/981 [============================>.] - ETA: 0s - loss: 97.1712 - logits_profile_predictions_loss: 95.3679 - logcount_predictions_loss: 0.7840 978/981 [============================>.] - ETA: 0s - loss: 97.1691 - logits_profile_predictions_loss: 95.3656 - logcount_predictions_loss: 0.7841 979/981 [============================>.] - ETA: 0s - loss: 97.1666 - logits_profile_predictions_loss: 95.3629 - logcount_predictions_loss: 0.7842 980/981 [============================>.] - ETA: 0s - loss: 97.1618 - logits_profile_predictions_loss: 95.3583 - logcount_predictions_loss: 0.7841 981/981 [==============================] - ETA: 0s - loss: 97.1320 - logits_profile_predictions_loss: 95.3289 - logcount_predictions_loss: 0.7840 Epoch 4: val_loss improved from 113.64159 to 113.18389, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/trevino_2021/K562_bias/trevino_2021.c21/fold_1/models/chrombpnet.h5  981/981 [==============================] - 145s 148ms/step - loss: 97.1320 - logits_profile_predictions_loss: 95.3289 - logcount_predictions_loss: 0.7840 - val_loss: 113.1839 - val_logits_profile_predictions_loss: 111.5809 - val_logcount_predictions_loss: 0.6969 Epoch 5/50 1/981 [..............................] - ETA: 2:25 - loss: 77.4220 - logits_profile_predictions_loss: 76.1332 - logcount_predictions_loss: 0.5604 2/981 [..............................] - ETA: 2:13 - loss: 82.4362 - logits_profile_predictions_loss: 80.8228 - logcount_predictions_loss: 0.7015 3/981 [..............................] - ETA: 2:13 - loss: 87.3829 - logits_profile_predictions_loss: 85.7117 - logcount_predictions_loss: 0.7266 4/981 [..............................] - ETA: 2:13 - loss: 90.1618 - logits_profile_predictions_loss: 88.3645 - logcount_predictions_loss: 0.7814 5/981 [..............................] - ETA: 2:12 - loss: 90.1227 - logits_profile_predictions_loss: 88.4366 - logcount_predictions_loss: 0.7331 6/981 [..............................] - ETA: 2:12 - loss: 90.5333 - logits_profile_predictions_loss: 88.7656 - logcount_predictions_loss: 0.7686 7/981 [..............................] - ETA: 2:12 - loss: 90.8914 - logits_profile_predictions_loss: 89.1742 - logcount_predictions_loss: 0.7466 8/981 [..............................] - ETA: 2:12 - loss: 91.1216 - logits_profile_predictions_loss: 89.4707 - logcount_predictions_loss: 0.7178 9/981 [..............................] - ETA: 2:12 - loss: 91.3919 - logits_profile_predictions_loss: 89.7666 - logcount_predictions_loss: 0.7067 10/981 [..............................] - ETA: 2:12 - loss: 91.8632 - logits_profile_predictions_loss: 90.2512 - logcount_predictions_loss: 0.7009 11/981 [..............................] - ETA: 2:12 - loss: 92.0038 - logits_profile_predictions_loss: 90.3948 - logcount_predictions_loss: 0.6996 12/981 [..............................] - ETA: 2:11 - loss: 91.3169 - logits_profile_predictions_loss: 89.7118 - logcount_predictions_loss: 0.6978 13/981 [..............................] - ETA: 2:11 - loss: 90.6682 - logits_profile_predictions_loss: 89.0479 - logcount_predictions_loss: 0.7045 14/981 [..............................] - ETA: 2:11 - loss: 90.8319 - logits_profile_predictions_loss: 89.2092 - logcount_predictions_loss: 0.7055 15/981 [..............................] - ETA: 2:11 - loss: 90.8611 - logits_profile_predictions_loss: 89.2334 - logcount_predictions_loss: 0.7077 16/981 [..............................] - ETA: 2:11 - loss: 90.8203 - logits_profile_predictions_loss: 89.1686 - logcount_predictions_loss: 0.7181 17/981 [..............................] - ETA: 2:11 - loss: 90.6955 - logits_profile_predictions_loss: 89.0361 - logcount_predictions_loss: 0.7215 18/981 [..............................] - ETA: 2:11 - loss: 91.1421 - logits_profile_predictions_loss: 89.4692 - logcount_predictions_loss: 0.7273 19/981 [..............................] - ETA: 2:11 - loss: 91.1226 - logits_profile_predictions_loss: 89.4434 - logcount_predictions_loss: 0.7301 20/981 [..............................] - ETA: 2:10 - loss: 91.1003 - logits_profile_predictions_loss: 89.4052 - logcount_predictions_loss: 0.7370 21/981 [..............................] - ETA: 2:10 - loss: 91.3845 - logits_profile_predictions_loss: 89.7171 - logcount_predictions_loss: 0.7250 22/981 [..............................] - ETA: 2:10 - loss: 91.4311 - logits_profile_predictions_loss: 89.7697 - logcount_predictions_loss: 0.7224 23/981 [..............................] - ETA: 2:10 - loss: 91.1305 - logits_profile_predictions_loss: 89.4433 - logcount_predictions_loss: 0.7336 24/981 [..............................] - ETA: 2:10 - loss: 90.6870 - logits_profile_predictions_loss: 88.9999 - logcount_predictions_loss: 0.7335 25/981 [..............................] - ETA: 2:10 - loss: 90.4619 - logits_profile_predictions_loss: 88.7814 - logcount_predictions_loss: 0.7307 26/981 [..............................] - ETA: 2:10 - loss: 90.9306 - logits_profile_predictions_loss: 89.2339 - logcount_predictions_loss: 0.7377 27/981 [..............................] - ETA: 2:10 - loss: 91.0527 - logits_profile_predictions_loss: 89.3651 - logcount_predictions_loss: 0.7337 28/981 [..............................] - ETA: 2:09 - loss: 91.1603 - logits_profile_predictions_loss: 89.4875 - logcount_predictions_loss: 0.7273 29/981 [..............................] - ETA: 2:09 - loss: 90.9519 - logits_profile_predictions_loss: 89.2791 - logcount_predictions_loss: 0.7273 30/981 [..............................] - ETA: 2:09 - loss: 90.9169 - logits_profile_predictions_loss: 89.2227 - logcount_predictions_loss: 0.7366 31/981 [..............................] - ETA: 2:09 - loss: 90.8874 - logits_profile_predictions_loss: 89.1972 - logcount_predictions_loss: 0.7348 32/981 [..............................] - ETA: 2:09 - loss: 91.1009 - logits_profile_predictions_loss: 89.4050 - logcount_predictions_loss: 0.7373 33/981 [>.............................] - ETA: 2:09 - loss: 91.0375 - logits_profile_predictions_loss: 89.3409 - logcount_predictions_loss: 0.7377 34/981 [>.............................] - ETA: 2:09 - loss: 91.3112 - logits_profile_predictions_loss: 89.6207 - logcount_predictions_loss: 0.7350 35/981 [>.............................] - ETA: 2:09 - loss: 91.4608 - logits_profile_predictions_loss: 89.7548 - logcount_predictions_loss: 0.7418 36/981 [>.............................] - ETA: 2:08 - loss: 91.1322 - logits_profile_predictions_loss: 89.4183 - logcount_predictions_loss: 0.7452 37/981 [>.............................] - ETA: 2:08 - loss: 91.3291 - logits_profile_predictions_loss: 89.6082 - logcount_predictions_loss: 0.7482 38/981 [>.............................] - ETA: 2:09 - loss: 91.5617 - logits_profile_predictions_loss: 89.8229 - logcount_predictions_loss: 0.7560 39/981 [>.............................] - ETA: 2:09 - loss: 91.5098 - logits_profile_predictions_loss: 89.7738 - logcount_predictions_loss: 0.7548 40/981 [>.............................] - ETA: 2:08 - loss: 92.0299 - logits_profile_predictions_loss: 90.3046 - logcount_predictions_loss: 0.7502 41/981 [>.............................] - ETA: 2:08 - loss: 92.0220 - logits_profile_predictions_loss: 90.2721 - logcount_predictions_loss: 0.7608 42/981 [>.............................] - ETA: 2:08 - loss: 92.0025 - logits_profile_predictions_loss: 90.2629 - logcount_predictions_loss: 0.7563 43/981 [>.............................] - ETA: 2:08 - loss: 91.9149 - logits_profile_predictions_loss: 90.1680 - logcount_predictions_loss: 0.7595 44/981 [>.............................] - ETA: 2:08 - loss: 91.9470 - logits_profile_predictions_loss: 90.1925 - logcount_predictions_loss: 0.7628 45/981 [>.............................] - ETA: 2:08 - loss: 92.1672 - 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[>.............................] - ETA: 2:06 - loss: 93.3206 - logits_profile_predictions_loss: 91.5770 - logcount_predictions_loss: 0.7581 60/981 [>.............................] - ETA: 2:06 - loss: 93.1028 - logits_profile_predictions_loss: 91.3597 - logcount_predictions_loss: 0.7579 61/981 [>.............................] - ETA: 2:05 - loss: 93.3897 - logits_profile_predictions_loss: 91.6402 - logcount_predictions_loss: 0.7607 62/981 [>.............................] - ETA: 2:05 - loss: 93.3327 - logits_profile_predictions_loss: 91.5859 - logcount_predictions_loss: 0.7595 63/981 [>.............................] - ETA: 2:05 - loss: 93.1882 - logits_profile_predictions_loss: 91.4403 - logcount_predictions_loss: 0.7600 64/981 [>.............................] - ETA: 2:05 - loss: 93.1569 - logits_profile_predictions_loss: 91.4045 - logcount_predictions_loss: 0.7619 65/981 [>.............................] - ETA: 2:05 - loss: 93.7224 - logits_profile_predictions_loss: 91.9748 - logcount_predictions_loss: 0.7598 66/981 [=>............................] - ETA: 2:05 - loss: 93.7946 - logits_profile_predictions_loss: 92.0518 - logcount_predictions_loss: 0.7578 67/981 [=>............................] - ETA: 2:05 - loss: 93.7042 - logits_profile_predictions_loss: 91.9629 - logcount_predictions_loss: 0.7571 68/981 [=>............................] - ETA: 2:04 - loss: 93.5509 - logits_profile_predictions_loss: 91.8123 - logcount_predictions_loss: 0.7559 69/981 [=>............................] - ETA: 2:04 - loss: 93.5252 - logits_profile_predictions_loss: 91.7845 - logcount_predictions_loss: 0.7568 70/981 [=>............................] - ETA: 2:04 - loss: 93.4545 - logits_profile_predictions_loss: 91.7182 - logcount_predictions_loss: 0.7549 71/981 [=>............................] - ETA: 2:04 - loss: 93.3111 - logits_profile_predictions_loss: 91.5769 - logcount_predictions_loss: 0.7540 72/981 [=>............................] - ETA: 2:04 - loss: 93.4675 - 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[=>............................] - ETA: 2:02 - loss: 93.9230 - logits_profile_predictions_loss: 92.1913 - logcount_predictions_loss: 0.7529 87/981 [=>............................] - ETA: 2:02 - loss: 93.9125 - logits_profile_predictions_loss: 92.1801 - logcount_predictions_loss: 0.7532 88/981 [=>............................] - ETA: 2:02 - loss: 93.8151 - logits_profile_predictions_loss: 92.0790 - logcount_predictions_loss: 0.7548 89/981 [=>............................] - ETA: 2:01 - loss: 93.7206 - logits_profile_predictions_loss: 91.9796 - logcount_predictions_loss: 0.7570 90/981 [=>............................] - ETA: 2:01 - loss: 93.8711 - logits_profile_predictions_loss: 92.1235 - logcount_predictions_loss: 0.7599 91/981 [=>............................] - ETA: 2:01 - loss: 93.8803 - logits_profile_predictions_loss: 92.1352 - logcount_predictions_loss: 0.7587 92/981 [=>............................] - ETA: 2:01 - loss: 93.6932 - logits_profile_predictions_loss: 91.9457 - 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1s - loss: 96.2421 - logits_profile_predictions_loss: 94.5019 - logcount_predictions_loss: 0.7566 972/981 [============================>.] - ETA: 1s - loss: 96.2435 - logits_profile_predictions_loss: 94.5031 - logcount_predictions_loss: 0.7568 973/981 [============================>.] - ETA: 1s - loss: 96.2494 - logits_profile_predictions_loss: 94.5091 - logcount_predictions_loss: 0.7567 974/981 [============================>.] - ETA: 0s - loss: 96.2505 - logits_profile_predictions_loss: 94.5106 - logcount_predictions_loss: 0.7566 975/981 [============================>.] - ETA: 0s - loss: 96.2483 - logits_profile_predictions_loss: 94.5084 - logcount_predictions_loss: 0.7565 976/981 [============================>.] - ETA: 0s - loss: 96.2519 - logits_profile_predictions_loss: 94.5124 - logcount_predictions_loss: 0.7564 977/981 [============================>.] - ETA: 0s - loss: 96.2653 - logits_profile_predictions_loss: 94.5258 - logcount_predictions_loss: 0.7563 978/981 [============================>.] - ETA: 0s - loss: 96.2839 - logits_profile_predictions_loss: 94.5447 - logcount_predictions_loss: 0.7562 979/981 [============================>.] - ETA: 0s - loss: 96.2673 - logits_profile_predictions_loss: 94.5280 - logcount_predictions_loss: 0.7563 980/981 [============================>.] - ETA: 0s - loss: 96.2806 - logits_profile_predictions_loss: 94.5419 - logcount_predictions_loss: 0.7560 981/981 [==============================] - ETA: 0s - loss: 96.2864 - logits_profile_predictions_loss: 94.5478 - logcount_predictions_loss: 0.7560 Epoch 5: val_loss improved from 113.18389 to 112.76586, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/trevino_2021/K562_bias/trevino_2021.c21/fold_1/models/chrombpnet.h5  981/981 [==============================] - 144s 147ms/step - loss: 96.2864 - logits_profile_predictions_loss: 94.5478 - logcount_predictions_loss: 0.7560 - val_loss: 112.7659 - val_logits_profile_predictions_loss: 111.1711 - val_logcount_predictions_loss: 0.6934 Epoch 6/50 1/981 [..............................] - ETA: 2:25 - loss: 93.5973 - logits_profile_predictions_loss: 92.0520 - logcount_predictions_loss: 0.6719 2/981 [..............................] - ETA: 2:13 - loss: 93.6567 - logits_profile_predictions_loss: 92.1652 - logcount_predictions_loss: 0.6485 3/981 [..............................] - ETA: 2:13 - loss: 99.6921 - logits_profile_predictions_loss: 98.0789 - logcount_predictions_loss: 0.7014 4/981 [..............................] - ETA: 2:13 - loss: 98.1781 - logits_profile_predictions_loss: 96.6628 - logcount_predictions_loss: 0.6588 5/981 [..............................] - ETA: 2:12 - loss: 100.3244 - logits_profile_predictions_loss: 98.7221 - logcount_predictions_loss: 0.6967 6/981 [..............................] - ETA: 2:12 - loss: 99.5185 - logits_profile_predictions_loss: 97.9663 - logcount_predictions_loss: 0.6749  7/981 [..............................] - ETA: 2:12 - loss: 99.6918 - logits_profile_predictions_loss: 98.0496 - logcount_predictions_loss: 0.7140 8/981 [..............................] - ETA: 2:12 - loss: 99.4447 - logits_profile_predictions_loss: 97.7331 - logcount_predictions_loss: 0.7442 9/981 [..............................] - ETA: 2:12 - loss: 98.5975 - logits_profile_predictions_loss: 96.9036 - logcount_predictions_loss: 0.7365 10/981 [..............................] - ETA: 2:12 - loss: 98.1841 - logits_profile_predictions_loss: 96.5047 - logcount_predictions_loss: 0.7302 11/981 [..............................] - ETA: 2:12 - loss: 98.4498 - logits_profile_predictions_loss: 96.7750 - logcount_predictions_loss: 0.7281 12/981 [..............................] - ETA: 2:12 - loss: 98.3211 - logits_profile_predictions_loss: 96.6245 - logcount_predictions_loss: 0.7377 13/981 [..............................] - ETA: 2:11 - loss: 97.4939 - logits_profile_predictions_loss: 95.7913 - logcount_predictions_loss: 0.7403 14/981 [..............................] - ETA: 2:06 - loss: 97.6362 - logits_profile_predictions_loss: 95.9399 - logcount_predictions_loss: 0.7375 15/981 [..............................] - ETA: 2:06 - loss: 97.0231 - logits_profile_predictions_loss: 95.3001 - logcount_predictions_loss: 0.7492 16/981 [..............................] - ETA: 2:06 - loss: 97.9778 - logits_profile_predictions_loss: 96.2542 - logcount_predictions_loss: 0.7494 17/981 [..............................] - ETA: 2:07 - loss: 97.0531 - logits_profile_predictions_loss: 95.3674 - logcount_predictions_loss: 0.7329 18/981 [..............................] - ETA: 2:07 - loss: 97.1452 - logits_profile_predictions_loss: 95.4388 - logcount_predictions_loss: 0.7420 19/981 [..............................] - ETA: 2:07 - loss: 97.9444 - logits_profile_predictions_loss: 96.2567 - logcount_predictions_loss: 0.7338 20/981 [..............................] - ETA: 2:07 - loss: 97.3112 - logits_profile_predictions_loss: 95.6211 - logcount_predictions_loss: 0.7348 21/981 [..............................] - ETA: 2:07 - loss: 98.0665 - logits_profile_predictions_loss: 96.3668 - logcount_predictions_loss: 0.7390 22/981 [..............................] - ETA: 2:07 - loss: 98.5281 - logits_profile_predictions_loss: 96.7956 - logcount_predictions_loss: 0.7533 23/981 [..............................] - ETA: 2:07 - loss: 97.9680 - logits_profile_predictions_loss: 96.2463 - logcount_predictions_loss: 0.7486 24/981 [..............................] - ETA: 2:07 - loss: 98.3642 - logits_profile_predictions_loss: 96.6480 - logcount_predictions_loss: 0.7462 25/981 [..............................] - ETA: 2:07 - loss: 99.0127 - logits_profile_predictions_loss: 97.2920 - logcount_predictions_loss: 0.7482 26/981 [..............................] - ETA: 2:07 - loss: 99.6919 - logits_profile_predictions_loss: 97.9929 - logcount_predictions_loss: 0.7387 27/981 [..............................] - ETA: 2:07 - loss: 99.9616 - logits_profile_predictions_loss: 98.2711 - logcount_predictions_loss: 0.7350 28/981 [..............................] - ETA: 2:07 - loss: 99.1851 - logits_profile_predictions_loss: 97.4980 - logcount_predictions_loss: 0.7335 29/981 [..............................] - ETA: 2:07 - loss: 99.4339 - logits_profile_predictions_loss: 97.7490 - logcount_predictions_loss: 0.7326 30/981 [..............................] - ETA: 2:07 - loss: 99.0887 - logits_profile_predictions_loss: 97.3903 - logcount_predictions_loss: 0.7384 31/981 [..............................] - ETA: 2:07 - loss: 99.2413 - logits_profile_predictions_loss: 97.5562 - logcount_predictions_loss: 0.7326 32/981 [..............................] - ETA: 2:07 - loss: 99.0743 - logits_profile_predictions_loss: 97.3903 - logcount_predictions_loss: 0.7322 33/981 [>.............................] - ETA: 2:07 - loss: 98.4989 - logits_profile_predictions_loss: 96.8125 - logcount_predictions_loss: 0.7332 34/981 [>.............................] - ETA: 2:07 - loss: 98.0560 - logits_profile_predictions_loss: 96.3684 - logcount_predictions_loss: 0.7337 35/981 [>.............................] - ETA: 2:07 - loss: 97.7558 - logits_profile_predictions_loss: 96.0817 - logcount_predictions_loss: 0.7279 36/981 [>.............................] - ETA: 2:07 - loss: 97.8927 - logits_profile_predictions_loss: 96.2203 - logcount_predictions_loss: 0.7271 37/981 [>.............................] - ETA: 2:06 - loss: 98.1389 - logits_profile_predictions_loss: 96.4661 - logcount_predictions_loss: 0.7273 38/981 [>.............................] - ETA: 2:06 - loss: 97.8207 - logits_profile_predictions_loss: 96.1521 - logcount_predictions_loss: 0.7254 39/981 [>.............................] - ETA: 2:06 - loss: 98.1443 - logits_profile_predictions_loss: 96.4774 - logcount_predictions_loss: 0.7247 40/981 [>.............................] - ETA: 2:06 - loss: 98.0327 - logits_profile_predictions_loss: 96.3640 - logcount_predictions_loss: 0.7255 41/981 [>.............................] - ETA: 2:06 - loss: 97.7651 - logits_profile_predictions_loss: 96.0909 - logcount_predictions_loss: 0.7279 42/981 [>.............................] - ETA: 2:06 - loss: 97.7247 - logits_profile_predictions_loss: 96.0511 - logcount_predictions_loss: 0.7276 43/981 [>.............................] - ETA: 2:06 - loss: 97.5008 - logits_profile_predictions_loss: 95.8307 - logcount_predictions_loss: 0.7261 44/981 [>.............................] - ETA: 2:06 - loss: 97.4941 - logits_profile_predictions_loss: 95.8262 - logcount_predictions_loss: 0.7252 45/981 [>.............................] - ETA: 2:06 - loss: 97.2700 - logits_profile_predictions_loss: 95.6041 - logcount_predictions_loss: 0.7243 46/981 [>.............................] - ETA: 2:06 - loss: 97.1076 - logits_profile_predictions_loss: 95.4356 - logcount_predictions_loss: 0.7269 47/981 [>.............................] - ETA: 2:06 - loss: 97.1812 - logits_profile_predictions_loss: 95.5184 - logcount_predictions_loss: 0.7229 48/981 [>.............................] - ETA: 2:05 - loss: 97.1046 - logits_profile_predictions_loss: 95.3991 - logcount_predictions_loss: 0.7415 49/981 [>.............................] - ETA: 2:05 - loss: 96.9818 - logits_profile_predictions_loss: 95.2682 - logcount_predictions_loss: 0.7450 50/981 [>.............................] - ETA: 2:05 - loss: 97.0228 - logits_profile_predictions_loss: 95.3045 - logcount_predictions_loss: 0.7471 51/981 [>.............................] - ETA: 2:05 - loss: 97.0884 - logits_profile_predictions_loss: 95.3640 - logcount_predictions_loss: 0.7498 52/981 [>.............................] - ETA: 2:05 - loss: 96.8539 - logits_profile_predictions_loss: 95.1348 - logcount_predictions_loss: 0.7474 53/981 [>.............................] - ETA: 2:05 - loss: 96.9265 - logits_profile_predictions_loss: 95.2133 - logcount_predictions_loss: 0.7449 54/981 [>.............................] - 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[>.............................] - ETA: 2:04 - loss: 96.3870 - logits_profile_predictions_loss: 94.6464 - logcount_predictions_loss: 0.7568 62/981 [>.............................] - ETA: 2:04 - loss: 96.2710 - logits_profile_predictions_loss: 94.5322 - logcount_predictions_loss: 0.7560 63/981 [>.............................] - ETA: 2:04 - loss: 96.1492 - logits_profile_predictions_loss: 94.4189 - logcount_predictions_loss: 0.7523 64/981 [>.............................] - ETA: 2:04 - loss: 96.1262 - logits_profile_predictions_loss: 94.4023 - logcount_predictions_loss: 0.7495 65/981 [>.............................] - ETA: 2:04 - loss: 96.0629 - logits_profile_predictions_loss: 94.3353 - logcount_predictions_loss: 0.7511 66/981 [=>............................] - ETA: 2:03 - loss: 96.3451 - logits_profile_predictions_loss: 94.6129 - logcount_predictions_loss: 0.7531 67/981 [=>............................] - ETA: 2:03 - loss: 96.5595 - logits_profile_predictions_loss: 94.8391 - logcount_predictions_loss: 0.7480 68/981 [=>............................] - ETA: 2:03 - loss: 96.4977 - logits_profile_predictions_loss: 94.7775 - logcount_predictions_loss: 0.7480 69/981 [=>............................] - ETA: 2:03 - loss: 96.4922 - logits_profile_predictions_loss: 94.7628 - logcount_predictions_loss: 0.7519 70/981 [=>............................] - ETA: 2:03 - loss: 96.3254 - logits_profile_predictions_loss: 94.5909 - logcount_predictions_loss: 0.7542 71/981 [=>............................] - ETA: 2:03 - loss: 96.2106 - logits_profile_predictions_loss: 94.4749 - logcount_predictions_loss: 0.7547 72/981 [=>............................] - ETA: 2:03 - loss: 96.2160 - logits_profile_predictions_loss: 94.4784 - logcount_predictions_loss: 0.7555 73/981 [=>............................] - ETA: 2:03 - loss: 96.2707 - logits_profile_predictions_loss: 94.5304 - logcount_predictions_loss: 0.7567 74/981 [=>............................] - ETA: 2:02 - loss: 96.0289 - logits_profile_predictions_loss: 94.2887 - logcount_predictions_loss: 0.7567 75/981 [=>............................] - ETA: 2:02 - loss: 96.1074 - logits_profile_predictions_loss: 94.3701 - logcount_predictions_loss: 0.7553 76/981 [=>............................] - ETA: 2:02 - loss: 96.2295 - logits_profile_predictions_loss: 94.4904 - logcount_predictions_loss: 0.7561 77/981 [=>............................] - ETA: 2:02 - loss: 96.1924 - logits_profile_predictions_loss: 94.4530 - logcount_predictions_loss: 0.7563 78/981 [=>............................] - ETA: 2:02 - loss: 96.0953 - logits_profile_predictions_loss: 94.3505 - logcount_predictions_loss: 0.7586 79/981 [=>............................] - ETA: 2:02 - loss: 96.0366 - logits_profile_predictions_loss: 94.2900 - logcount_predictions_loss: 0.7594 80/981 [=>............................] - ETA: 2:02 - loss: 96.3408 - logits_profile_predictions_loss: 94.5967 - logcount_predictions_loss: 0.7583 81/981 [=>............................] - ETA: 2:02 - loss: 96.4719 - logits_profile_predictions_loss: 94.7306 - logcount_predictions_loss: 0.7571 82/981 [=>............................] - ETA: 2:01 - loss: 96.3535 - logits_profile_predictions_loss: 94.6091 - logcount_predictions_loss: 0.7584 83/981 [=>............................] - ETA: 2:01 - loss: 96.3259 - logits_profile_predictions_loss: 94.5848 - logcount_predictions_loss: 0.7570 84/981 [=>............................] - ETA: 2:01 - loss: 96.0603 - logits_profile_predictions_loss: 94.3169 - logcount_predictions_loss: 0.7580 85/981 [=>............................] - ETA: 2:01 - loss: 96.2049 - logits_profile_predictions_loss: 94.4572 - logcount_predictions_loss: 0.7599 86/981 [=>............................] - ETA: 2:01 - loss: 96.4881 - logits_profile_predictions_loss: 94.7432 - logcount_predictions_loss: 0.7587 87/981 [=>............................] - ETA: 2:01 - loss: 96.6171 - logits_profile_predictions_loss: 94.8734 - logcount_predictions_loss: 0.7581 88/981 [=>............................] - ETA: 2:01 - loss: 96.7129 - logits_profile_predictions_loss: 94.9703 - logcount_predictions_loss: 0.7577 89/981 [=>............................] - ETA: 2:01 - loss: 96.7180 - logits_profile_predictions_loss: 94.9745 - logcount_predictions_loss: 0.7581 90/981 [=>............................] - ETA: 2:00 - loss: 96.6021 - logits_profile_predictions_loss: 94.8645 - logcount_predictions_loss: 0.7555 91/981 [=>............................] - ETA: 2:00 - loss: 96.7358 - logits_profile_predictions_loss: 94.9985 - logcount_predictions_loss: 0.7553 92/981 [=>............................] - ETA: 2:00 - loss: 96.6189 - logits_profile_predictions_loss: 94.8867 - logcount_predictions_loss: 0.7531 93/981 [=>............................] - ETA: 2:00 - loss: 96.6413 - logits_profile_predictions_loss: 94.9041 - logcount_predictions_loss: 0.7553 94/981 [=>............................] - ETA: 2:00 - loss: 96.6216 - logits_profile_predictions_loss: 94.8858 - 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logits_profile_predictions_loss: 93.9673 - logcount_predictions_loss: 0.7239 967/981 [============================>.] - ETA: 1s - loss: 95.6448 - logits_profile_predictions_loss: 93.9800 - logcount_predictions_loss: 0.7238 968/981 [============================>.] - ETA: 1s - loss: 95.6460 - logits_profile_predictions_loss: 93.9813 - logcount_predictions_loss: 0.7238 969/981 [============================>.] - ETA: 1s - loss: 95.6488 - logits_profile_predictions_loss: 93.9844 - logcount_predictions_loss: 0.7236 970/981 [============================>.] - ETA: 1s - loss: 95.6498 - logits_profile_predictions_loss: 93.9857 - logcount_predictions_loss: 0.7236 971/981 [============================>.] - ETA: 1s - loss: 95.6491 - logits_profile_predictions_loss: 93.9837 - logcount_predictions_loss: 0.7241 972/981 [============================>.] - ETA: 1s - loss: 95.6678 - logits_profile_predictions_loss: 94.0027 - logcount_predictions_loss: 0.7240 973/981 [============================>.] - ETA: 1s - loss: 95.6478 - logits_profile_predictions_loss: 93.9825 - logcount_predictions_loss: 0.7241 974/981 [============================>.] - ETA: 0s - loss: 95.6518 - logits_profile_predictions_loss: 93.9865 - logcount_predictions_loss: 0.7241 975/981 [============================>.] - ETA: 0s - loss: 95.6447 - logits_profile_predictions_loss: 93.9797 - logcount_predictions_loss: 0.7239 976/981 [============================>.] - ETA: 0s - loss: 95.6461 - logits_profile_predictions_loss: 93.9813 - logcount_predictions_loss: 0.7238 977/981 [============================>.] - ETA: 0s - loss: 95.6423 - logits_profile_predictions_loss: 93.9777 - logcount_predictions_loss: 0.7238 978/981 [============================>.] - ETA: 0s - loss: 95.6295 - logits_profile_predictions_loss: 93.9648 - logcount_predictions_loss: 0.7238 979/981 [============================>.] - ETA: 0s - loss: 95.6178 - logits_profile_predictions_loss: 93.9535 - logcount_predictions_loss: 0.7236 980/981 [============================>.] - ETA: 0s - loss: 95.6180 - logits_profile_predictions_loss: 93.9538 - logcount_predictions_loss: 0.7236 981/981 [==============================] - ETA: 0s - loss: 95.6236 - logits_profile_predictions_loss: 93.9595 - logcount_predictions_loss: 0.7235 Epoch 6: val_loss did not improve from 112.76586  981/981 [==============================] - 145s 147ms/step - loss: 95.6236 - logits_profile_predictions_loss: 93.9595 - logcount_predictions_loss: 0.7235 - val_loss: 112.8989 - val_logits_profile_predictions_loss: 111.2918 - val_logcount_predictions_loss: 0.6987 Epoch 7/50 1/981 [..............................] - ETA: 2:24 - loss: 95.2167 - logits_profile_predictions_loss: 93.5880 - logcount_predictions_loss: 0.7081 2/981 [..............................] - ETA: 2:13 - loss: 98.2265 - logits_profile_predictions_loss: 96.7084 - logcount_predictions_loss: 0.6600 3/981 [..............................] - ETA: 2:13 - loss: 102.6246 - logits_profile_predictions_loss: 100.9655 - logcount_predictions_loss: 0.7213 4/981 [..............................] - ETA: 2:13 - loss: 103.7178 - logits_profile_predictions_loss: 102.0784 - logcount_predictions_loss: 0.7128 5/981 [..............................] - ETA: 2:13 - loss: 104.0139 - logits_profile_predictions_loss: 102.4364 - logcount_predictions_loss: 0.6859 6/981 [..............................] - ETA: 2:13 - loss: 102.0528 - logits_profile_predictions_loss: 100.4950 - logcount_predictions_loss: 0.6773 7/981 [..............................] - ETA: 2:12 - loss: 99.2263 - logits_profile_predictions_loss: 97.6618 - logcount_predictions_loss: 0.6802  8/981 [..............................] - ETA: 2:12 - loss: 96.9471 - logits_profile_predictions_loss: 95.3943 - logcount_predictions_loss: 0.6751 9/981 [..............................] - ETA: 2:12 - loss: 95.3248 - logits_profile_predictions_loss: 93.8032 - logcount_predictions_loss: 0.6616 10/981 [..............................] - ETA: 2:12 - loss: 96.3149 - logits_profile_predictions_loss: 94.7889 - logcount_predictions_loss: 0.6635 11/981 [..............................] - ETA: 2:12 - loss: 96.4747 - logits_profile_predictions_loss: 94.9674 - logcount_predictions_loss: 0.6554 12/981 [..............................] - ETA: 2:12 - loss: 97.4741 - logits_profile_predictions_loss: 95.9640 - logcount_predictions_loss: 0.6566 13/981 [..............................] - ETA: 2:12 - loss: 96.5159 - logits_profile_predictions_loss: 94.9645 - logcount_predictions_loss: 0.6745 14/981 [..............................] - ETA: 2:11 - loss: 96.2066 - logits_profile_predictions_loss: 94.6421 - logcount_predictions_loss: 0.6802 15/981 [..............................] - ETA: 2:11 - loss: 96.3386 - logits_profile_predictions_loss: 94.7593 - logcount_predictions_loss: 0.6867 16/981 [..............................] - ETA: 2:11 - loss: 97.6132 - logits_profile_predictions_loss: 95.9823 - logcount_predictions_loss: 0.7091 17/981 [..............................] - ETA: 2:11 - loss: 97.9033 - logits_profile_predictions_loss: 96.2606 - logcount_predictions_loss: 0.7142 18/981 [..............................] - ETA: 2:11 - loss: 97.8711 - logits_profile_predictions_loss: 96.2327 - logcount_predictions_loss: 0.7123 19/981 [..............................] - ETA: 2:11 - loss: 96.8357 - logits_profile_predictions_loss: 95.1853 - logcount_predictions_loss: 0.7176 20/981 [..............................] - ETA: 2:11 - loss: 96.6491 - logits_profile_predictions_loss: 95.0033 - logcount_predictions_loss: 0.7155 21/981 [..............................] - ETA: 2:10 - loss: 95.8786 - logits_profile_predictions_loss: 94.2424 - logcount_predictions_loss: 0.7114 22/981 [..............................] - ETA: 2:10 - loss: 96.3151 - logits_profile_predictions_loss: 94.6526 - logcount_predictions_loss: 0.7229 23/981 [..............................] - ETA: 2:10 - loss: 95.9195 - logits_profile_predictions_loss: 94.2728 - logcount_predictions_loss: 0.7159 24/981 [..............................] - ETA: 2:10 - loss: 95.8132 - logits_profile_predictions_loss: 94.1622 - logcount_predictions_loss: 0.7178 25/981 [..............................] - ETA: 2:10 - loss: 96.1590 - logits_profile_predictions_loss: 94.4993 - logcount_predictions_loss: 0.7216 26/981 [..............................] - ETA: 2:10 - loss: 96.0045 - logits_profile_predictions_loss: 94.3406 - logcount_predictions_loss: 0.7234 27/981 [..............................] - ETA: 2:10 - loss: 96.1960 - logits_profile_predictions_loss: 94.5091 - logcount_predictions_loss: 0.7335 28/981 [..............................] - ETA: 2:10 - loss: 96.4630 - logits_profile_predictions_loss: 94.7769 - logcount_predictions_loss: 0.7331 29/981 [..............................] - ETA: 2:09 - loss: 96.4686 - logits_profile_predictions_loss: 94.7871 - logcount_predictions_loss: 0.7311 30/981 [..............................] - ETA: 2:10 - loss: 96.0547 - logits_profile_predictions_loss: 94.3654 - logcount_predictions_loss: 0.7345 31/981 [..............................] - ETA: 2:10 - loss: 96.1447 - logits_profile_predictions_loss: 94.4643 - logcount_predictions_loss: 0.7306 32/981 [..............................] - ETA: 2:10 - loss: 96.7886 - logits_profile_predictions_loss: 95.1112 - logcount_predictions_loss: 0.7293 33/981 [>.............................] - ETA: 2:10 - loss: 96.0963 - logits_profile_predictions_loss: 94.4141 - logcount_predictions_loss: 0.7314 34/981 [>.............................] - ETA: 2:10 - loss: 96.2826 - logits_profile_predictions_loss: 94.6015 - logcount_predictions_loss: 0.7309 35/981 [>.............................] - ETA: 2:10 - loss: 95.9054 - logits_profile_predictions_loss: 94.2486 - logcount_predictions_loss: 0.7204 36/981 [>.............................] - ETA: 2:09 - loss: 95.5191 - logits_profile_predictions_loss: 93.8647 - logcount_predictions_loss: 0.7193 37/981 [>.............................] - ETA: 2:09 - loss: 95.8913 - logits_profile_predictions_loss: 94.2491 - logcount_predictions_loss: 0.7140 38/981 [>.............................] - ETA: 2:09 - loss: 96.0300 - logits_profile_predictions_loss: 94.3909 - logcount_predictions_loss: 0.7127 39/981 [>.............................] - ETA: 2:09 - loss: 95.4565 - logits_profile_predictions_loss: 93.8168 - logcount_predictions_loss: 0.7129 40/981 [>.............................] - ETA: 2:09 - loss: 95.7481 - logits_profile_predictions_loss: 94.1097 - logcount_predictions_loss: 0.7123 41/981 [>.............................] - ETA: 2:09 - loss: 95.7386 - logits_profile_predictions_loss: 94.1017 - logcount_predictions_loss: 0.7117 42/981 [>.............................] - ETA: 2:08 - loss: 95.9339 - logits_profile_predictions_loss: 94.2942 - logcount_predictions_loss: 0.7129 43/981 [>.............................] - ETA: 2:08 - loss: 95.8891 - logits_profile_predictions_loss: 94.2533 - logcount_predictions_loss: 0.7112 44/981 [>.............................] - ETA: 2:08 - loss: 95.4710 - logits_profile_predictions_loss: 93.8314 - logcount_predictions_loss: 0.7129 45/981 [>.............................] - ETA: 2:08 - loss: 95.6457 - logits_profile_predictions_loss: 93.9922 - logcount_predictions_loss: 0.7189 46/981 [>.............................] - ETA: 2:08 - loss: 95.4779 - logits_profile_predictions_loss: 93.8182 - logcount_predictions_loss: 0.7216 47/981 [>.............................] - ETA: 2:08 - loss: 95.4316 - logits_profile_predictions_loss: 93.7803 - logcount_predictions_loss: 0.7180 48/981 [>.............................] - ETA: 2:07 - loss: 94.9963 - logits_profile_predictions_loss: 93.3500 - logcount_predictions_loss: 0.7158 49/981 [>.............................] - ETA: 2:07 - loss: 95.0394 - logits_profile_predictions_loss: 93.3991 - logcount_predictions_loss: 0.7132 50/981 [>.............................] - ETA: 2:07 - loss: 95.2877 - logits_profile_predictions_loss: 93.6501 - logcount_predictions_loss: 0.7120 51/981 [>.............................] - ETA: 2:07 - loss: 95.5679 - logits_profile_predictions_loss: 93.9302 - logcount_predictions_loss: 0.7120 52/981 [>.............................] - ETA: 2:07 - loss: 95.4095 - logits_profile_predictions_loss: 93.7820 - logcount_predictions_loss: 0.7076 53/981 [>.............................] - ETA: 2:07 - loss: 95.2303 - logits_profile_predictions_loss: 93.6063 - logcount_predictions_loss: 0.7061 54/981 [>.............................] - ETA: 2:06 - loss: 95.0890 - logits_profile_predictions_loss: 93.4594 - logcount_predictions_loss: 0.7085 55/981 [>.............................] - ETA: 2:06 - loss: 95.2945 - logits_profile_predictions_loss: 93.6728 - logcount_predictions_loss: 0.7051 56/981 [>.............................] - ETA: 2:06 - loss: 95.4550 - logits_profile_predictions_loss: 93.8340 - logcount_predictions_loss: 0.7048 57/981 [>.............................] - ETA: 2:06 - loss: 95.4343 - logits_profile_predictions_loss: 93.8178 - logcount_predictions_loss: 0.7028 58/981 [>.............................] - ETA: 2:06 - loss: 95.2239 - logits_profile_predictions_loss: 93.6102 - logcount_predictions_loss: 0.7016 59/981 [>.............................] - ETA: 2:06 - loss: 94.9885 - logits_profile_predictions_loss: 93.3783 - logcount_predictions_loss: 0.7001 60/981 [>.............................] - ETA: 2:05 - loss: 94.7541 - logits_profile_predictions_loss: 93.1549 - logcount_predictions_loss: 0.6953 61/981 [>.............................] - ETA: 2:05 - loss: 94.6175 - logits_profile_predictions_loss: 93.0160 - logcount_predictions_loss: 0.6963 62/981 [>.............................] - ETA: 2:05 - loss: 94.6449 - logits_profile_predictions_loss: 93.0481 - logcount_predictions_loss: 0.6943 63/981 [>.............................] - ETA: 2:05 - loss: 94.7169 - logits_profile_predictions_loss: 93.1264 - logcount_predictions_loss: 0.6915 64/981 [>.............................] - ETA: 2:05 - loss: 94.8536 - logits_profile_predictions_loss: 93.2623 - logcount_predictions_loss: 0.6918 65/981 [>.............................] - ETA: 2:05 - loss: 94.8901 - logits_profile_predictions_loss: 93.3010 - logcount_predictions_loss: 0.6909 66/981 [=>............................] - ETA: 2:05 - loss: 95.0952 - logits_profile_predictions_loss: 93.5116 - logcount_predictions_loss: 0.6885 67/981 [=>............................] - ETA: 2:05 - loss: 95.1692 - logits_profile_predictions_loss: 93.5878 - logcount_predictions_loss: 0.6875 68/981 [=>............................] - ETA: 2:05 - loss: 95.2704 - logits_profile_predictions_loss: 93.6965 - logcount_predictions_loss: 0.6843 69/981 [=>............................] - ETA: 2:04 - loss: 95.3865 - logits_profile_predictions_loss: 93.8151 - logcount_predictions_loss: 0.6832 70/981 [=>............................] - ETA: 2:04 - loss: 95.3811 - logits_profile_predictions_loss: 93.8117 - logcount_predictions_loss: 0.6823 71/981 [=>............................] - ETA: 2:04 - loss: 95.4694 - logits_profile_predictions_loss: 93.9000 - logcount_predictions_loss: 0.6823 72/981 [=>............................] - ETA: 2:04 - loss: 95.3645 - logits_profile_predictions_loss: 93.7984 - logcount_predictions_loss: 0.6809 73/981 [=>............................] - ETA: 2:04 - loss: 95.3492 - logits_profile_predictions_loss: 93.7773 - logcount_predictions_loss: 0.6834 74/981 [=>............................] - ETA: 2:04 - loss: 95.3203 - logits_profile_predictions_loss: 93.7541 - logcount_predictions_loss: 0.6809 75/981 [=>............................] - ETA: 2:04 - loss: 95.3250 - logits_profile_predictions_loss: 93.7658 - logcount_predictions_loss: 0.6779 76/981 [=>............................] - ETA: 2:03 - loss: 95.2712 - logits_profile_predictions_loss: 93.7164 - logcount_predictions_loss: 0.6760 77/981 [=>............................] - ETA: 2:03 - loss: 95.3973 - logits_profile_predictions_loss: 93.8382 - logcount_predictions_loss: 0.6779 78/981 [=>............................] - ETA: 2:03 - loss: 95.3573 - logits_profile_predictions_loss: 93.8029 - logcount_predictions_loss: 0.6758 79/981 [=>............................] - ETA: 2:03 - loss: 95.5275 - logits_profile_predictions_loss: 93.9708 - logcount_predictions_loss: 0.6768 80/981 [=>............................] - ETA: 2:03 - loss: 95.5213 - logits_profile_predictions_loss: 93.9663 - logcount_predictions_loss: 0.6761 81/981 [=>............................] - ETA: 2:03 - loss: 95.3720 - logits_profile_predictions_loss: 93.8155 - logcount_predictions_loss: 0.6767 82/981 [=>............................] - ETA: 2:03 - loss: 95.5571 - logits_profile_predictions_loss: 94.0004 - logcount_predictions_loss: 0.6768 83/981 [=>............................] - ETA: 2:02 - loss: 95.4449 - logits_profile_predictions_loss: 93.8848 - logcount_predictions_loss: 0.6783 84/981 [=>............................] - ETA: 2:02 - loss: 95.3012 - logits_profile_predictions_loss: 93.7420 - logcount_predictions_loss: 0.6779 85/981 [=>............................] - ETA: 2:02 - loss: 95.3671 - logits_profile_predictions_loss: 93.8070 - logcount_predictions_loss: 0.6783 86/981 [=>............................] - ETA: 2:02 - loss: 95.3155 - logits_profile_predictions_loss: 93.7556 - logcount_predictions_loss: 0.6782 87/981 [=>............................] - ETA: 2:02 - loss: 95.1945 - logits_profile_predictions_loss: 93.6335 - logcount_predictions_loss: 0.6787 88/981 [=>............................] - ETA: 2:02 - loss: 95.2026 - logits_profile_predictions_loss: 93.6454 - logcount_predictions_loss: 0.6770 89/981 [=>............................] - ETA: 2:01 - loss: 95.1656 - logits_profile_predictions_loss: 93.6090 - logcount_predictions_loss: 0.6768 90/981 [=>............................] - ETA: 2:01 - loss: 95.2636 - logits_profile_predictions_loss: 93.7028 - logcount_predictions_loss: 0.6786 91/981 [=>............................] - ETA: 2:01 - loss: 95.3591 - logits_profile_predictions_loss: 93.8031 - logcount_predictions_loss: 0.6765 92/981 [=>............................] - ETA: 2:01 - loss: 95.2625 - logits_profile_predictions_loss: 93.7068 - logcount_predictions_loss: 0.6764 93/981 [=>............................] - ETA: 2:01 - loss: 95.0935 - logits_profile_predictions_loss: 93.5415 - logcount_predictions_loss: 0.6748 94/981 [=>............................] - ETA: 2:01 - loss: 95.2343 - logits_profile_predictions_loss: 93.6807 - logcount_predictions_loss: 0.6755 95/981 [=>............................] - ETA: 2:01 - loss: 95.2454 - logits_profile_predictions_loss: 93.6921 - logcount_predictions_loss: 0.6753 96/981 [=>............................] - ETA: 2:01 - loss: 95.4174 - logits_profile_predictions_loss: 93.8625 - logcount_predictions_loss: 0.6760 97/981 [=>............................] - ETA: 2:00 - loss: 95.5251 - logits_profile_predictions_loss: 93.9716 - logcount_predictions_loss: 0.6754 98/981 [=>............................] - ETA: 2:00 - loss: 95.4662 - logits_profile_predictions_loss: 93.9127 - logcount_predictions_loss: 0.6754 99/981 [==>...........................] - ETA: 2:00 - loss: 95.5462 - logits_profile_predictions_loss: 93.9914 - logcount_predictions_loss: 0.6760 100/981 [==>...........................] - ETA: 2:00 - loss: 95.5003 - logits_profile_predictions_loss: 93.9484 - logcount_predictions_loss: 0.6747 101/981 [==>...........................] - ETA: 2:00 - loss: 95.6317 - logits_profile_predictions_loss: 94.0814 - logcount_predictions_loss: 0.6740 102/981 [==>...........................] - ETA: 2:00 - loss: 95.7000 - logits_profile_predictions_loss: 94.1521 - logcount_predictions_loss: 0.6730 103/981 [==>...........................] - ETA: 2:00 - loss: 95.5352 - logits_profile_predictions_loss: 93.9868 - logcount_predictions_loss: 0.6732 104/981 [==>...........................] - ETA: 2:00 - loss: 95.6149 - logits_profile_predictions_loss: 94.0624 - logcount_predictions_loss: 0.6750 105/981 [==>...........................] - ETA: 1:59 - loss: 95.4633 - logits_profile_predictions_loss: 93.9138 - logcount_predictions_loss: 0.6737 106/981 [==>...........................] - ETA: 1:59 - loss: 95.3885 - logits_profile_predictions_loss: 93.8407 - logcount_predictions_loss: 0.6730 107/981 [==>...........................] - ETA: 1:59 - loss: 95.3338 - logits_profile_predictions_loss: 93.7831 - logcount_predictions_loss: 0.6742 108/981 [==>...........................] - ETA: 1:59 - loss: 95.2259 - logits_profile_predictions_loss: 93.6761 - logcount_predictions_loss: 0.6738 109/981 [==>...........................] - ETA: 1:59 - loss: 95.0800 - logits_profile_predictions_loss: 93.5325 - logcount_predictions_loss: 0.6728 110/981 [==>...........................] - ETA: 1:59 - loss: 95.0822 - logits_profile_predictions_loss: 93.5312 - logcount_predictions_loss: 0.6743 111/981 [==>...........................] - ETA: 1:59 - loss: 95.1188 - 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[============================>.] - ETA: 1s - loss: 95.0066 - logits_profile_predictions_loss: 93.4035 - logcount_predictions_loss: 0.6970 971/981 [============================>.] - ETA: 1s - loss: 95.0048 - logits_profile_predictions_loss: 93.4015 - logcount_predictions_loss: 0.6971 972/981 [============================>.] - ETA: 1s - loss: 95.0085 - logits_profile_predictions_loss: 93.4048 - logcount_predictions_loss: 0.6972 973/981 [============================>.] - ETA: 1s - loss: 95.0203 - logits_profile_predictions_loss: 93.4167 - logcount_predictions_loss: 0.6972 974/981 [============================>.] - ETA: 0s - loss: 95.0117 - logits_profile_predictions_loss: 93.4080 - logcount_predictions_loss: 0.6973 975/981 [============================>.] - ETA: 0s - loss: 95.0291 - logits_profile_predictions_loss: 93.4254 - logcount_predictions_loss: 0.6972 976/981 [============================>.] - ETA: 0s - loss: 95.0290 - logits_profile_predictions_loss: 93.4254 - logcount_predictions_loss: 0.6972 977/981 [============================>.] - ETA: 0s - loss: 95.0251 - logits_profile_predictions_loss: 93.4218 - logcount_predictions_loss: 0.6970 978/981 [============================>.] - ETA: 0s - loss: 95.0410 - logits_profile_predictions_loss: 93.4377 - logcount_predictions_loss: 0.6971 979/981 [============================>.] - ETA: 0s - loss: 95.0421 - logits_profile_predictions_loss: 93.4384 - logcount_predictions_loss: 0.6972 980/981 [============================>.] - ETA: 0s - loss: 95.0362 - logits_profile_predictions_loss: 93.4325 - logcount_predictions_loss: 0.6972 981/981 [==============================] - ETA: 0s - loss: 95.0344 - logits_profile_predictions_loss: 93.4306 - logcount_predictions_loss: 0.6973 Epoch 7: val_loss did not improve from 112.76586  981/981 [==============================] - 145s 148ms/step - loss: 95.0344 - logits_profile_predictions_loss: 93.4306 - logcount_predictions_loss: 0.6973 - val_loss: 113.1472 - val_logits_profile_predictions_loss: 111.6078 - val_logcount_predictions_loss: 0.6693 Epoch 8/50 1/981 [..............................] - ETA: 2:25 - loss: 101.4387 - logits_profile_predictions_loss: 100.1831 - logcount_predictions_loss: 0.5459 2/981 [..............................] - ETA: 2:13 - loss: 101.0672 - logits_profile_predictions_loss: 99.6344 - logcount_predictions_loss: 0.6230  3/981 [..............................] - ETA: 2:13 - loss: 99.9100 - logits_profile_predictions_loss: 98.4651 - logcount_predictions_loss: 0.6282  4/981 [..............................] - ETA: 2:13 - loss: 97.1978 - logits_profile_predictions_loss: 95.6584 - logcount_predictions_loss: 0.6693 5/981 [..............................] - ETA: 2:13 - loss: 96.9929 - logits_profile_predictions_loss: 95.5153 - logcount_predictions_loss: 0.6424 6/981 [..............................] - ETA: 2:12 - loss: 97.1338 - logits_profile_predictions_loss: 95.6007 - logcount_predictions_loss: 0.6666 7/981 [..............................] - ETA: 2:12 - loss: 94.1160 - logits_profile_predictions_loss: 92.5842 - logcount_predictions_loss: 0.6660 8/981 [..............................] - ETA: 2:12 - loss: 94.3409 - logits_profile_predictions_loss: 92.7982 - logcount_predictions_loss: 0.6708 9/981 [..............................] - ETA: 2:12 - loss: 94.1083 - logits_profile_predictions_loss: 92.5799 - logcount_predictions_loss: 0.6645 10/981 [..............................] - ETA: 2:12 - loss: 92.8906 - logits_profile_predictions_loss: 91.3543 - logcount_predictions_loss: 0.6680 11/981 [..............................] - ETA: 2:12 - loss: 92.8086 - logits_profile_predictions_loss: 91.2867 - logcount_predictions_loss: 0.6617 12/981 [..............................] - ETA: 2:12 - loss: 94.6139 - logits_profile_predictions_loss: 93.1141 - logcount_predictions_loss: 0.6521 13/981 [..............................] - ETA: 2:12 - loss: 93.7505 - logits_profile_predictions_loss: 92.2662 - logcount_predictions_loss: 0.6453 14/981 [..............................] - ETA: 2:11 - loss: 95.2859 - logits_profile_predictions_loss: 93.7817 - logcount_predictions_loss: 0.6540 15/981 [..............................] - ETA: 2:11 - loss: 94.6556 - logits_profile_predictions_loss: 93.1512 - logcount_predictions_loss: 0.6541 16/981 [..............................] - ETA: 2:11 - loss: 93.7670 - logits_profile_predictions_loss: 92.2898 - logcount_predictions_loss: 0.6422 17/981 [..............................] - ETA: 2:11 - loss: 93.4534 - logits_profile_predictions_loss: 91.9916 - logcount_predictions_loss: 0.6355 18/981 [..............................] - ETA: 2:11 - loss: 93.7461 - logits_profile_predictions_loss: 92.2701 - logcount_predictions_loss: 0.6417 19/981 [..............................] - ETA: 2:11 - loss: 93.8610 - logits_profile_predictions_loss: 92.3842 - logcount_predictions_loss: 0.6421 20/981 [..............................] - ETA: 2:11 - loss: 94.2542 - logits_profile_predictions_loss: 92.7794 - logcount_predictions_loss: 0.6412 21/981 [..............................] - ETA: 2:10 - loss: 94.2800 - logits_profile_predictions_loss: 92.7848 - logcount_predictions_loss: 0.6501 22/981 [..............................] - ETA: 2:10 - loss: 93.8068 - logits_profile_predictions_loss: 92.2982 - logcount_predictions_loss: 0.6559 23/981 [..............................] - ETA: 2:10 - loss: 94.5365 - logits_profile_predictions_loss: 93.0200 - logcount_predictions_loss: 0.6594 24/981 [..............................] - ETA: 2:10 - loss: 95.0742 - logits_profile_predictions_loss: 93.5093 - logcount_predictions_loss: 0.6804 25/981 [..............................] - ETA: 2:10 - loss: 94.9138 - logits_profile_predictions_loss: 93.3445 - logcount_predictions_loss: 0.6823 26/981 [..............................] - ETA: 2:10 - loss: 94.6213 - logits_profile_predictions_loss: 93.0408 - logcount_predictions_loss: 0.6872 27/981 [..............................] - ETA: 2:10 - loss: 94.7937 - logits_profile_predictions_loss: 93.2224 - logcount_predictions_loss: 0.6832 28/981 [..............................] - ETA: 2:09 - loss: 95.0956 - logits_profile_predictions_loss: 93.5214 - logcount_predictions_loss: 0.6844 29/981 [..............................] - ETA: 2:09 - loss: 95.3191 - logits_profile_predictions_loss: 93.7580 - logcount_predictions_loss: 0.6787 30/981 [..............................] - ETA: 2:09 - loss: 95.0611 - logits_profile_predictions_loss: 93.5018 - logcount_predictions_loss: 0.6780 31/981 [..............................] - ETA: 2:09 - loss: 94.6448 - logits_profile_predictions_loss: 93.0860 - logcount_predictions_loss: 0.6777 32/981 [..............................] - ETA: 2:09 - loss: 94.9101 - logits_profile_predictions_loss: 93.3629 - logcount_predictions_loss: 0.6727 33/981 [>.............................] - ETA: 2:09 - loss: 94.9245 - logits_profile_predictions_loss: 93.3680 - logcount_predictions_loss: 0.6767 34/981 [>.............................] - ETA: 2:09 - loss: 94.8277 - logits_profile_predictions_loss: 93.2828 - logcount_predictions_loss: 0.6717 35/981 [>.............................] - ETA: 2:09 - loss: 94.7408 - logits_profile_predictions_loss: 93.1979 - logcount_predictions_loss: 0.6708 36/981 [>.............................] - ETA: 2:08 - loss: 94.8480 - logits_profile_predictions_loss: 93.3153 - logcount_predictions_loss: 0.6664 37/981 [>.............................] - ETA: 2:08 - loss: 95.7805 - logits_profile_predictions_loss: 94.2402 - logcount_predictions_loss: 0.6697 38/981 [>.............................] - ETA: 2:08 - loss: 95.5773 - logits_profile_predictions_loss: 94.0469 - logcount_predictions_loss: 0.6654 39/981 [>.............................] - ETA: 2:08 - loss: 95.7634 - logits_profile_predictions_loss: 94.2218 - logcount_predictions_loss: 0.6702 40/981 [>.............................] - ETA: 2:08 - loss: 95.9087 - logits_profile_predictions_loss: 94.3632 - logcount_predictions_loss: 0.6720 41/981 [>.............................] - ETA: 2:08 - loss: 95.7678 - logits_profile_predictions_loss: 94.2206 - logcount_predictions_loss: 0.6727 42/981 [>.............................] - ETA: 2:08 - loss: 95.7161 - logits_profile_predictions_loss: 94.1610 - logcount_predictions_loss: 0.6761 43/981 [>.............................] - ETA: 2:08 - loss: 95.5200 - logits_profile_predictions_loss: 93.9643 - logcount_predictions_loss: 0.6764 44/981 [>.............................] - ETA: 2:07 - loss: 95.5753 - logits_profile_predictions_loss: 94.0242 - logcount_predictions_loss: 0.6744 45/981 [>.............................] - ETA: 2:07 - loss: 94.9227 - logits_profile_predictions_loss: 93.3696 - logcount_predictions_loss: 0.6753 46/981 [>.............................] - ETA: 2:07 - loss: 94.6936 - logits_profile_predictions_loss: 93.1438 - logcount_predictions_loss: 0.6738 47/981 [>.............................] - ETA: 2:07 - loss: 94.6152 - logits_profile_predictions_loss: 93.0686 - logcount_predictions_loss: 0.6724 48/981 [>.............................] - ETA: 2:07 - loss: 94.6076 - logits_profile_predictions_loss: 93.0644 - logcount_predictions_loss: 0.6710 49/981 [>.............................] - ETA: 2:07 - loss: 94.2852 - logits_profile_predictions_loss: 92.7353 - logcount_predictions_loss: 0.6739 50/981 [>.............................] - ETA: 2:07 - loss: 94.3552 - logits_profile_predictions_loss: 92.8014 - logcount_predictions_loss: 0.6755 51/981 [>.............................] - ETA: 2:06 - loss: 94.5750 - logits_profile_predictions_loss: 93.0219 - logcount_predictions_loss: 0.6752 52/981 [>.............................] - ETA: 2:06 - loss: 94.8157 - logits_profile_predictions_loss: 93.2686 - logcount_predictions_loss: 0.6726 53/981 [>.............................] - ETA: 2:06 - loss: 94.9902 - logits_profile_predictions_loss: 93.4420 - logcount_predictions_loss: 0.6731 54/981 [>.............................] - ETA: 2:06 - loss: 94.8483 - logits_profile_predictions_loss: 93.3005 - logcount_predictions_loss: 0.6729 55/981 [>.............................] - ETA: 2:06 - loss: 94.9418 - logits_profile_predictions_loss: 93.4039 - logcount_predictions_loss: 0.6687 56/981 [>.............................] - ETA: 2:06 - loss: 94.8235 - logits_profile_predictions_loss: 93.2833 - logcount_predictions_loss: 0.6697 57/981 [>.............................] - ETA: 2:05 - loss: 94.7228 - logits_profile_predictions_loss: 93.1810 - logcount_predictions_loss: 0.6703 58/981 [>.............................] - ETA: 2:05 - loss: 95.1172 - logits_profile_predictions_loss: 93.5712 - logcount_predictions_loss: 0.6721 59/981 [>.............................] - ETA: 2:05 - loss: 95.2563 - logits_profile_predictions_loss: 93.7153 - logcount_predictions_loss: 0.6700 60/981 [>.............................] - ETA: 2:05 - loss: 95.1457 - logits_profile_predictions_loss: 93.6047 - logcount_predictions_loss: 0.6700 61/981 [>.............................] - ETA: 2:05 - loss: 95.3382 - logits_profile_predictions_loss: 93.8015 - logcount_predictions_loss: 0.6681 62/981 [>.............................] - ETA: 2:05 - loss: 95.0928 - logits_profile_predictions_loss: 93.5597 - logcount_predictions_loss: 0.6666 63/981 [>.............................] - ETA: 2:05 - loss: 95.1044 - logits_profile_predictions_loss: 93.5680 - logcount_predictions_loss: 0.6680 64/981 [>.............................] - ETA: 2:04 - loss: 95.0065 - logits_profile_predictions_loss: 93.4684 - logcount_predictions_loss: 0.6687 65/981 [>.............................] - ETA: 2:04 - loss: 95.0461 - logits_profile_predictions_loss: 93.5152 - logcount_predictions_loss: 0.6656 66/981 [=>............................] - ETA: 2:04 - loss: 95.1609 - logits_profile_predictions_loss: 93.6212 - logcount_predictions_loss: 0.6695 67/981 [=>............................] - ETA: 2:04 - loss: 94.9964 - logits_profile_predictions_loss: 93.4463 - logcount_predictions_loss: 0.6739 68/981 [=>............................] - ETA: 2:04 - loss: 94.9674 - logits_profile_predictions_loss: 93.4186 - logcount_predictions_loss: 0.6734 69/981 [=>............................] - ETA: 2:04 - loss: 95.0748 - logits_profile_predictions_loss: 93.5273 - logcount_predictions_loss: 0.6728 70/981 [=>............................] - ETA: 2:04 - loss: 95.1358 - logits_profile_predictions_loss: 93.5837 - logcount_predictions_loss: 0.6748 71/981 [=>............................] - ETA: 2:03 - loss: 94.9732 - logits_profile_predictions_loss: 93.4166 - logcount_predictions_loss: 0.6768 72/981 [=>............................] - ETA: 2:03 - loss: 94.8679 - logits_profile_predictions_loss: 93.3072 - logcount_predictions_loss: 0.6786 73/981 [=>............................] - ETA: 2:03 - loss: 95.0721 - logits_profile_predictions_loss: 93.5108 - logcount_predictions_loss: 0.6788 74/981 [=>............................] - ETA: 2:03 - loss: 95.2979 - logits_profile_predictions_loss: 93.7399 - logcount_predictions_loss: 0.6774 75/981 [=>............................] - ETA: 2:03 - loss: 95.1459 - logits_profile_predictions_loss: 93.5957 - logcount_predictions_loss: 0.6740 76/981 [=>............................] - ETA: 2:03 - loss: 95.0848 - logits_profile_predictions_loss: 93.5385 - logcount_predictions_loss: 0.6723 77/981 [=>............................] - ETA: 2:03 - loss: 95.2167 - logits_profile_predictions_loss: 93.6759 - logcount_predictions_loss: 0.6699 78/981 [=>............................] - ETA: 2:02 - loss: 95.0849 - logits_profile_predictions_loss: 93.5458 - logcount_predictions_loss: 0.6692 79/981 [=>............................] - ETA: 2:02 - loss: 95.1129 - logits_profile_predictions_loss: 93.5766 - logcount_predictions_loss: 0.6679 80/981 [=>............................] - ETA: 2:02 - loss: 95.1249 - logits_profile_predictions_loss: 93.5936 - logcount_predictions_loss: 0.6658 81/981 [=>............................] - ETA: 2:02 - loss: 95.0275 - logits_profile_predictions_loss: 93.4982 - logcount_predictions_loss: 0.6649 82/981 [=>............................] - ETA: 2:02 - loss: 95.0364 - logits_profile_predictions_loss: 93.5053 - logcount_predictions_loss: 0.6657 83/981 [=>............................] - ETA: 2:02 - loss: 95.0470 - logits_profile_predictions_loss: 93.5098 - logcount_predictions_loss: 0.6683 84/981 [=>............................] - ETA: 2:02 - loss: 95.0749 - logits_profile_predictions_loss: 93.5411 - logcount_predictions_loss: 0.6669 85/981 [=>............................] - ETA: 2:01 - loss: 95.0909 - logits_profile_predictions_loss: 93.5565 - logcount_predictions_loss: 0.6671 86/981 [=>............................] - ETA: 2:01 - loss: 94.9634 - logits_profile_predictions_loss: 93.4307 - logcount_predictions_loss: 0.6664 87/981 [=>............................] - ETA: 2:01 - loss: 94.9605 - logits_profile_predictions_loss: 93.4285 - logcount_predictions_loss: 0.6660 88/981 [=>............................] - ETA: 2:01 - loss: 94.8545 - logits_profile_predictions_loss: 93.3185 - logcount_predictions_loss: 0.6678 89/981 [=>............................] - ETA: 2:01 - loss: 95.0520 - logits_profile_predictions_loss: 93.5082 - logcount_predictions_loss: 0.6712 90/981 [=>............................] - ETA: 2:01 - loss: 95.1206 - logits_profile_predictions_loss: 93.5773 - logcount_predictions_loss: 0.6710 91/981 [=>............................] - ETA: 2:01 - loss: 94.9989 - logits_profile_predictions_loss: 93.4526 - logcount_predictions_loss: 0.6723 92/981 [=>............................] - ETA: 2:01 - loss: 94.9302 - logits_profile_predictions_loss: 93.3819 - logcount_predictions_loss: 0.6731 93/981 [=>............................] - ETA: 2:00 - loss: 94.9577 - logits_profile_predictions_loss: 93.4102 - logcount_predictions_loss: 0.6728 94/981 [=>............................] - ETA: 2:00 - loss: 95.0308 - logits_profile_predictions_loss: 93.4763 - logcount_predictions_loss: 0.6758 95/981 [=>............................] - ETA: 2:00 - loss: 95.0016 - logits_profile_predictions_loss: 93.4482 - logcount_predictions_loss: 0.6754 96/981 [=>............................] - ETA: 2:00 - loss: 95.0347 - logits_profile_predictions_loss: 93.4788 - logcount_predictions_loss: 0.6764 97/981 [=>............................] - ETA: 2:00 - loss: 95.0035 - logits_profile_predictions_loss: 93.4511 - logcount_predictions_loss: 0.6749 98/981 [=>............................] - ETA: 2:00 - loss: 94.9597 - logits_profile_predictions_loss: 93.4009 - logcount_predictions_loss: 0.6777 99/981 [==>...........................] - ETA: 2:00 - loss: 94.8545 - logits_profile_predictions_loss: 93.2914 - logcount_predictions_loss: 0.6796 100/981 [==>...........................] - ETA: 1:59 - loss: 94.8159 - logits_profile_predictions_loss: 93.2502 - logcount_predictions_loss: 0.6808 101/981 [==>...........................] - ETA: 1:59 - loss: 94.9082 - logits_profile_predictions_loss: 93.3438 - logcount_predictions_loss: 0.6802 102/981 [==>...........................] - ETA: 1:59 - loss: 95.1775 - logits_profile_predictions_loss: 93.6099 - logcount_predictions_loss: 0.6815 103/981 [==>...........................] - ETA: 1:59 - loss: 95.0936 - logits_profile_predictions_loss: 93.5266 - logcount_predictions_loss: 0.6813 104/981 [==>...........................] - ETA: 1:59 - loss: 95.0234 - logits_profile_predictions_loss: 93.4543 - logcount_predictions_loss: 0.6822 105/981 [==>...........................] - ETA: 1:59 - loss: 95.0715 - logits_profile_predictions_loss: 93.5011 - logcount_predictions_loss: 0.6828 106/981 [==>...........................] - ETA: 1:59 - loss: 94.9757 - logits_profile_predictions_loss: 93.4082 - logcount_predictions_loss: 0.6815 107/981 [==>...........................] - ETA: 1:58 - loss: 95.0090 - logits_profile_predictions_loss: 93.4408 - logcount_predictions_loss: 0.6818 108/981 [==>...........................] - ETA: 1:58 - loss: 95.1206 - logits_profile_predictions_loss: 93.5488 - logcount_predictions_loss: 0.6834 109/981 [==>...........................] - ETA: 1:58 - loss: 95.1804 - logits_profile_predictions_loss: 93.6097 - logcount_predictions_loss: 0.6829 110/981 [==>...........................] - ETA: 1:58 - loss: 95.0666 - logits_profile_predictions_loss: 93.4980 - logcount_predictions_loss: 0.6820 111/981 [==>...........................] - ETA: 1:58 - loss: 95.1867 - logits_profile_predictions_loss: 93.6172 - logcount_predictions_loss: 0.6824 112/981 [==>...........................] - ETA: 1:58 - loss: 95.3124 - logits_profile_predictions_loss: 93.7441 - logcount_predictions_loss: 0.6819 113/981 [==>...........................] - ETA: 1:58 - loss: 95.1848 - logits_profile_predictions_loss: 93.6160 - logcount_predictions_loss: 0.6820 114/981 [==>...........................] - ETA: 1:58 - loss: 95.0189 - logits_profile_predictions_loss: 93.4523 - logcount_predictions_loss: 0.6811 115/981 [==>...........................] - ETA: 1:57 - loss: 95.1551 - logits_profile_predictions_loss: 93.5925 - logcount_predictions_loss: 0.6794 116/981 [==>...........................] - ETA: 1:57 - loss: 95.0285 - logits_profile_predictions_loss: 93.4674 - logcount_predictions_loss: 0.6787 117/981 [==>...........................] - ETA: 1:57 - loss: 95.0191 - logits_profile_predictions_loss: 93.4589 - logcount_predictions_loss: 0.6783 118/981 [==>...........................] - ETA: 1:57 - loss: 95.0430 - logits_profile_predictions_loss: 93.4816 - logcount_predictions_loss: 0.6788 119/981 [==>...........................] - ETA: 1:57 - loss: 95.1565 - logits_profile_predictions_loss: 93.5948 - logcount_predictions_loss: 0.6790 120/981 [==>...........................] - ETA: 1:57 - loss: 95.1391 - logits_profile_predictions_loss: 93.5783 - logcount_predictions_loss: 0.6786 121/981 [==>...........................] - ETA: 1:57 - loss: 95.0847 - 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logits_profile_predictions_loss: 92.5888 - logcount_predictions_loss: 0.6723 974/981 [============================>.] - ETA: 0s - loss: 94.1318 - logits_profile_predictions_loss: 92.5857 - logcount_predictions_loss: 0.6722 975/981 [============================>.] - ETA: 0s - loss: 94.1417 - logits_profile_predictions_loss: 92.5959 - logcount_predictions_loss: 0.6721 976/981 [============================>.] - ETA: 0s - loss: 94.1271 - logits_profile_predictions_loss: 92.5815 - logcount_predictions_loss: 0.6720 977/981 [============================>.] - ETA: 0s - loss: 94.1195 - logits_profile_predictions_loss: 92.5734 - logcount_predictions_loss: 0.6722 978/981 [============================>.] - ETA: 0s - loss: 94.1173 - logits_profile_predictions_loss: 92.5709 - logcount_predictions_loss: 0.6723 979/981 [============================>.] - ETA: 0s - loss: 94.1152 - logits_profile_predictions_loss: 92.5685 - logcount_predictions_loss: 0.6725 980/981 [============================>.] - ETA: 0s - loss: 94.1301 - logits_profile_predictions_loss: 92.5835 - logcount_predictions_loss: 0.6724 981/981 [==============================] - ETA: 0s - loss: 94.1303 - logits_profile_predictions_loss: 92.5835 - logcount_predictions_loss: 0.6725 Epoch 8: val_loss did not improve from 112.76586  981/981 [==============================] - 144s 147ms/step - loss: 94.1303 - logits_profile_predictions_loss: 92.5835 - logcount_predictions_loss: 0.6725 - val_loss: 113.2513 - val_logits_profile_predictions_loss: 111.8077 - val_logcount_predictions_loss: 0.6276 Epoch 9/50 1/981 [..............................] - ETA: 2:24 - loss: 103.1279 - logits_profile_predictions_loss: 101.9205 - logcount_predictions_loss: 0.5249 2/981 [..............................] - ETA: 2:13 - loss: 107.3828 - logits_profile_predictions_loss: 106.0778 - logcount_predictions_loss: 0.5674 3/981 [..............................] - ETA: 2:13 - loss: 99.3996 - logits_profile_predictions_loss: 97.8013 - logcount_predictions_loss: 0.6949  4/981 [..............................] - ETA: 2:12 - loss: 96.6036 - logits_profile_predictions_loss: 94.9837 - logcount_predictions_loss: 0.7043 5/981 [..............................] - ETA: 2:12 - loss: 95.0986 - logits_profile_predictions_loss: 93.5833 - logcount_predictions_loss: 0.6588 6/981 [..............................] - ETA: 2:12 - loss: 96.3496 - logits_profile_predictions_loss: 94.8390 - logcount_predictions_loss: 0.6568 7/981 [..............................] - ETA: 2:12 - loss: 92.3808 - logits_profile_predictions_loss: 90.7955 - logcount_predictions_loss: 0.6893 8/981 [..............................] - ETA: 2:12 - loss: 92.5084 - logits_profile_predictions_loss: 90.9668 - logcount_predictions_loss: 0.6703 9/981 [..............................] - ETA: 2:12 - loss: 92.4906 - logits_profile_predictions_loss: 90.9144 - logcount_predictions_loss: 0.6853 10/981 [..............................] - ETA: 2:12 - loss: 91.0791 - logits_profile_predictions_loss: 89.5119 - logcount_predictions_loss: 0.6814 11/981 [..............................] - ETA: 2:11 - loss: 91.4536 - logits_profile_predictions_loss: 89.8738 - logcount_predictions_loss: 0.6869 12/981 [..............................] - ETA: 2:11 - loss: 92.1630 - logits_profile_predictions_loss: 90.5653 - logcount_predictions_loss: 0.6947 13/981 [..............................] - ETA: 2:11 - loss: 91.7828 - logits_profile_predictions_loss: 90.1674 - logcount_predictions_loss: 0.7023 14/981 [..............................] - ETA: 2:11 - loss: 93.4561 - logits_profile_predictions_loss: 91.8228 - logcount_predictions_loss: 0.7101 15/981 [..............................] - ETA: 2:11 - loss: 93.0877 - logits_profile_predictions_loss: 91.4373 - logcount_predictions_loss: 0.7176 16/981 [..............................] - ETA: 2:11 - loss: 92.2678 - logits_profile_predictions_loss: 90.6101 - logcount_predictions_loss: 0.7208 17/981 [..............................] - ETA: 2:11 - loss: 91.9060 - logits_profile_predictions_loss: 90.2472 - logcount_predictions_loss: 0.7212 18/981 [..............................] - ETA: 2:10 - loss: 92.1102 - logits_profile_predictions_loss: 90.4505 - logcount_predictions_loss: 0.7216 19/981 [..............................] - ETA: 2:10 - loss: 92.7314 - logits_profile_predictions_loss: 91.0453 - logcount_predictions_loss: 0.7331 20/981 [..............................] - ETA: 2:10 - loss: 92.2364 - logits_profile_predictions_loss: 90.5687 - logcount_predictions_loss: 0.7251 21/981 [..............................] - ETA: 2:10 - loss: 91.8713 - logits_profile_predictions_loss: 90.2212 - logcount_predictions_loss: 0.7174 22/981 [..............................] - ETA: 2:10 - loss: 92.7674 - logits_profile_predictions_loss: 91.1247 - logcount_predictions_loss: 0.7142 23/981 [..............................] - ETA: 2:10 - loss: 92.2429 - logits_profile_predictions_loss: 90.6014 - logcount_predictions_loss: 0.7137 24/981 [..............................] - ETA: 2:10 - loss: 91.8721 - logits_profile_predictions_loss: 90.2434 - logcount_predictions_loss: 0.7082 25/981 [..............................] - ETA: 2:10 - loss: 91.8057 - logits_profile_predictions_loss: 90.1958 - logcount_predictions_loss: 0.7000 26/981 [..............................] - ETA: 2:09 - loss: 91.6513 - logits_profile_predictions_loss: 90.0523 - logcount_predictions_loss: 0.6952 27/981 [..............................] - ETA: 2:09 - loss: 91.5089 - logits_profile_predictions_loss: 89.9067 - logcount_predictions_loss: 0.6966 28/981 [..............................] - ETA: 2:09 - loss: 91.7717 - logits_profile_predictions_loss: 90.1742 - logcount_predictions_loss: 0.6946 29/981 [..............................] - ETA: 2:09 - loss: 92.0330 - logits_profile_predictions_loss: 90.4384 - logcount_predictions_loss: 0.6933 30/981 [..............................] - ETA: 2:09 - loss: 92.0137 - logits_profile_predictions_loss: 90.4188 - logcount_predictions_loss: 0.6935 31/981 [..............................] - ETA: 2:09 - loss: 92.1187 - logits_profile_predictions_loss: 90.5321 - logcount_predictions_loss: 0.6899 32/981 [..............................] - ETA: 2:09 - loss: 92.0199 - logits_profile_predictions_loss: 90.4453 - logcount_predictions_loss: 0.6846 33/981 [>.............................] - ETA: 2:08 - loss: 92.1260 - logits_profile_predictions_loss: 90.5549 - logcount_predictions_loss: 0.6831 34/981 [>.............................] - ETA: 2:08 - loss: 92.1178 - logits_profile_predictions_loss: 90.5546 - logcount_predictions_loss: 0.6796 35/981 [>.............................] - ETA: 2:08 - loss: 92.6360 - logits_profile_predictions_loss: 91.0782 - logcount_predictions_loss: 0.6773 36/981 [>.............................] - ETA: 2:08 - loss: 92.6243 - logits_profile_predictions_loss: 91.0730 - logcount_predictions_loss: 0.6745 37/981 [>.............................] - ETA: 2:08 - loss: 92.1437 - logits_profile_predictions_loss: 90.5740 - logcount_predictions_loss: 0.6825 38/981 [>.............................] - ETA: 2:08 - loss: 92.1606 - logits_profile_predictions_loss: 90.5930 - logcount_predictions_loss: 0.6816 39/981 [>.............................] - ETA: 2:08 - loss: 92.2067 - logits_profile_predictions_loss: 90.6424 - logcount_predictions_loss: 0.6801 40/981 [>.............................] - ETA: 2:08 - loss: 92.0884 - logits_profile_predictions_loss: 90.5299 - logcount_predictions_loss: 0.6776 41/981 [>.............................] - ETA: 2:08 - loss: 91.9980 - logits_profile_predictions_loss: 90.4309 - logcount_predictions_loss: 0.6813 42/981 [>.............................] - ETA: 2:07 - loss: 92.3933 - logits_profile_predictions_loss: 90.8400 - logcount_predictions_loss: 0.6754 43/981 [>.............................] - ETA: 2:07 - loss: 92.3292 - logits_profile_predictions_loss: 90.7777 - logcount_predictions_loss: 0.6746 44/981 [>.............................] - ETA: 2:07 - loss: 92.5551 - logits_profile_predictions_loss: 91.0103 - logcount_predictions_loss: 0.6716 45/981 [>.............................] - ETA: 2:07 - loss: 92.6071 - logits_profile_predictions_loss: 91.0615 - logcount_predictions_loss: 0.6720 46/981 [>.............................] - ETA: 2:07 - loss: 92.6549 - logits_profile_predictions_loss: 91.1269 - logcount_predictions_loss: 0.6644 47/981 [>.............................] - ETA: 2:07 - loss: 92.7981 - logits_profile_predictions_loss: 91.2636 - logcount_predictions_loss: 0.6672 48/981 [>.............................] - ETA: 2:07 - loss: 93.1567 - logits_profile_predictions_loss: 91.6162 - logcount_predictions_loss: 0.6698 49/981 [>.............................] - ETA: 2:07 - loss: 93.1787 - logits_profile_predictions_loss: 91.6385 - logcount_predictions_loss: 0.6697 50/981 [>.............................] - ETA: 2:06 - loss: 93.4577 - logits_profile_predictions_loss: 91.9199 - logcount_predictions_loss: 0.6686 51/981 [>.............................] - ETA: 2:06 - loss: 93.4938 - logits_profile_predictions_loss: 91.9529 - logcount_predictions_loss: 0.6700 52/981 [>.............................] - ETA: 2:06 - loss: 93.4167 - logits_profile_predictions_loss: 91.8752 - logcount_predictions_loss: 0.6702 53/981 [>.............................] - ETA: 2:06 - loss: 93.4759 - logits_profile_predictions_loss: 91.9323 - logcount_predictions_loss: 0.6712 54/981 [>.............................] - ETA: 2:06 - loss: 93.5401 - logits_profile_predictions_loss: 91.9982 - logcount_predictions_loss: 0.6704 55/981 [>.............................] - ETA: 2:06 - loss: 93.6238 - logits_profile_predictions_loss: 92.0874 - logcount_predictions_loss: 0.6680 56/981 [>.............................] - ETA: 2:06 - loss: 93.7761 - logits_profile_predictions_loss: 92.2286 - logcount_predictions_loss: 0.6729 57/981 [>.............................] - ETA: 2:05 - loss: 93.6279 - logits_profile_predictions_loss: 92.0851 - logcount_predictions_loss: 0.6708 58/981 [>.............................] - ETA: 2:05 - loss: 93.4806 - logits_profile_predictions_loss: 91.9401 - logcount_predictions_loss: 0.6698 59/981 [>.............................] - ETA: 2:05 - loss: 93.3158 - logits_profile_predictions_loss: 91.7778 - logcount_predictions_loss: 0.6687 60/981 [>.............................] - ETA: 2:05 - loss: 93.5591 - logits_profile_predictions_loss: 92.0282 - logcount_predictions_loss: 0.6656 61/981 [>.............................] - ETA: 2:05 - loss: 93.8160 - logits_profile_predictions_loss: 92.2819 - logcount_predictions_loss: 0.6670 62/981 [>.............................] - ETA: 2:05 - loss: 93.8029 - logits_profile_predictions_loss: 92.2628 - logcount_predictions_loss: 0.6696 63/981 [>.............................] - ETA: 2:05 - loss: 93.7570 - logits_profile_predictions_loss: 92.2144 - logcount_predictions_loss: 0.6707 64/981 [>.............................] - ETA: 2:05 - loss: 93.7725 - logits_profile_predictions_loss: 92.2314 - logcount_predictions_loss: 0.6700 65/981 [>.............................] - ETA: 2:04 - loss: 93.8870 - logits_profile_predictions_loss: 92.3421 - logcount_predictions_loss: 0.6717 66/981 [=>............................] - ETA: 2:04 - loss: 93.7641 - logits_profile_predictions_loss: 92.2132 - logcount_predictions_loss: 0.6743 67/981 [=>............................] - ETA: 2:04 - loss: 93.8529 - logits_profile_predictions_loss: 92.3101 - logcount_predictions_loss: 0.6708 68/981 [=>............................] - ETA: 2:04 - loss: 93.9096 - logits_profile_predictions_loss: 92.3615 - logcount_predictions_loss: 0.6731 69/981 [=>............................] - ETA: 2:04 - loss: 93.8390 - logits_profile_predictions_loss: 92.2992 - logcount_predictions_loss: 0.6695 70/981 [=>............................] - ETA: 2:04 - loss: 93.6308 - logits_profile_predictions_loss: 92.0982 - logcount_predictions_loss: 0.6664 71/981 [=>............................] - ETA: 2:04 - loss: 93.3224 - logits_profile_predictions_loss: 91.7976 - logcount_predictions_loss: 0.6630 72/981 [=>............................] - ETA: 2:03 - loss: 93.1428 - logits_profile_predictions_loss: 91.6229 - logcount_predictions_loss: 0.6608 73/981 [=>............................] - ETA: 2:03 - loss: 92.9629 - logits_profile_predictions_loss: 91.4426 - logcount_predictions_loss: 0.6610 74/981 [=>............................] - ETA: 2:03 - loss: 92.7673 - logits_profile_predictions_loss: 91.2521 - logcount_predictions_loss: 0.6588 75/981 [=>............................] - ETA: 2:03 - loss: 92.8693 - logits_profile_predictions_loss: 91.3567 - logcount_predictions_loss: 0.6577 76/981 [=>............................] - ETA: 2:03 - loss: 92.7910 - logits_profile_predictions_loss: 91.2788 - logcount_predictions_loss: 0.6575 77/981 [=>............................] - ETA: 2:03 - loss: 92.8500 - logits_profile_predictions_loss: 91.3387 - logcount_predictions_loss: 0.6571 78/981 [=>............................] - ETA: 2:03 - loss: 92.7331 - logits_profile_predictions_loss: 91.2188 - logcount_predictions_loss: 0.6584 79/981 [=>............................] - ETA: 2:02 - loss: 92.8549 - logits_profile_predictions_loss: 91.3394 - logcount_predictions_loss: 0.6589 80/981 [=>............................] - ETA: 2:02 - loss: 93.0722 - logits_profile_predictions_loss: 91.5624 - logcount_predictions_loss: 0.6564 81/981 [=>............................] - ETA: 2:02 - loss: 93.2382 - logits_profile_predictions_loss: 91.7365 - logcount_predictions_loss: 0.6529 82/981 [=>............................] - ETA: 2:02 - loss: 93.3785 - logits_profile_predictions_loss: 91.8839 - logcount_predictions_loss: 0.6498 83/981 [=>............................] - ETA: 2:02 - loss: 93.2276 - logits_profile_predictions_loss: 91.7355 - logcount_predictions_loss: 0.6488 84/981 [=>............................] - ETA: 2:02 - loss: 93.1435 - logits_profile_predictions_loss: 91.6536 - logcount_predictions_loss: 0.6478 85/981 [=>............................] - ETA: 2:02 - loss: 93.2049 - logits_profile_predictions_loss: 91.7145 - logcount_predictions_loss: 0.6480 86/981 [=>............................] - ETA: 2:02 - loss: 93.2778 - logits_profile_predictions_loss: 91.7902 - logcount_predictions_loss: 0.6468 87/981 [=>............................] - ETA: 2:01 - loss: 93.1112 - logits_profile_predictions_loss: 91.6224 - logcount_predictions_loss: 0.6473 88/981 [=>............................] - ETA: 2:01 - loss: 93.2090 - logits_profile_predictions_loss: 91.7178 - logcount_predictions_loss: 0.6483 89/981 [=>............................] - ETA: 2:01 - loss: 93.2000 - logits_profile_predictions_loss: 91.7111 - logcount_predictions_loss: 0.6474 90/981 [=>............................] - ETA: 2:01 - loss: 93.0849 - logits_profile_predictions_loss: 91.5994 - logcount_predictions_loss: 0.6459 91/981 [=>............................] - ETA: 2:01 - loss: 93.0750 - logits_profile_predictions_loss: 91.5901 - logcount_predictions_loss: 0.6456 92/981 [=>............................] - ETA: 2:01 - loss: 93.0043 - logits_profile_predictions_loss: 91.5187 - logcount_predictions_loss: 0.6459 93/981 [=>............................] - ETA: 2:01 - loss: 93.0273 - logits_profile_predictions_loss: 91.5427 - logcount_predictions_loss: 0.6455 94/981 [=>............................] - ETA: 2:00 - loss: 93.0511 - logits_profile_predictions_loss: 91.5664 - logcount_predictions_loss: 0.6455 95/981 [=>............................] - ETA: 2:00 - loss: 93.2321 - logits_profile_predictions_loss: 91.7533 - logcount_predictions_loss: 0.6430 96/981 [=>............................] - ETA: 2:00 - loss: 93.1525 - logits_profile_predictions_loss: 91.6727 - logcount_predictions_loss: 0.6434 97/981 [=>............................] - ETA: 2:00 - loss: 93.0265 - logits_profile_predictions_loss: 91.5538 - logcount_predictions_loss: 0.6403 98/981 [=>............................] - ETA: 2:00 - loss: 92.9563 - logits_profile_predictions_loss: 91.4834 - logcount_predictions_loss: 0.6404 99/981 [==>...........................] - ETA: 2:00 - loss: 92.8982 - logits_profile_predictions_loss: 91.4270 - logcount_predictions_loss: 0.6397 100/981 [==>...........................] - ETA: 2:00 - loss: 92.8737 - logits_profile_predictions_loss: 91.4008 - logcount_predictions_loss: 0.6404 101/981 [==>...........................] - ETA: 2:00 - loss: 92.8404 - logits_profile_predictions_loss: 91.3658 - logcount_predictions_loss: 0.6411 102/981 [==>...........................] - ETA: 1:59 - loss: 92.6291 - logits_profile_predictions_loss: 91.1563 - logcount_predictions_loss: 0.6403 103/981 [==>...........................] - ETA: 1:59 - loss: 92.7774 - logits_profile_predictions_loss: 91.3069 - logcount_predictions_loss: 0.6393 104/981 [==>...........................] - ETA: 1:59 - loss: 92.7437 - logits_profile_predictions_loss: 91.2758 - logcount_predictions_loss: 0.6382 105/981 [==>...........................] - ETA: 1:59 - loss: 92.8579 - logits_profile_predictions_loss: 91.3919 - logcount_predictions_loss: 0.6374 106/981 [==>...........................] - ETA: 1:59 - loss: 92.8118 - logits_profile_predictions_loss: 91.3492 - logcount_predictions_loss: 0.6359 107/981 [==>...........................] - ETA: 1:59 - loss: 92.7212 - logits_profile_predictions_loss: 91.2578 - logcount_predictions_loss: 0.6363 108/981 [==>...........................] - ETA: 1:59 - loss: 92.7884 - logits_profile_predictions_loss: 91.3263 - logcount_predictions_loss: 0.6357 109/981 [==>...........................] - ETA: 1:58 - loss: 92.7747 - logits_profile_predictions_loss: 91.3182 - logcount_predictions_loss: 0.6333 110/981 [==>...........................] - ETA: 1:58 - loss: 92.7427 - logits_profile_predictions_loss: 91.2886 - logcount_predictions_loss: 0.6322 111/981 [==>...........................] - ETA: 1:58 - loss: 92.7891 - logits_profile_predictions_loss: 91.3338 - logcount_predictions_loss: 0.6327 112/981 [==>...........................] - ETA: 1:58 - loss: 92.8088 - logits_profile_predictions_loss: 91.3490 - logcount_predictions_loss: 0.6347 113/981 [==>...........................] - ETA: 1:58 - loss: 92.7108 - logits_profile_predictions_loss: 91.2414 - logcount_predictions_loss: 0.6389 114/981 [==>...........................] - ETA: 1:58 - loss: 92.8757 - logits_profile_predictions_loss: 91.4036 - logcount_predictions_loss: 0.6400 115/981 [==>...........................] - ETA: 1:58 - loss: 92.8370 - logits_profile_predictions_loss: 91.3618 - logcount_predictions_loss: 0.6414 116/981 [==>...........................] - ETA: 1:57 - loss: 92.8291 - logits_profile_predictions_loss: 91.3550 - logcount_predictions_loss: 0.6409 117/981 [==>...........................] - ETA: 1:57 - loss: 92.8487 - logits_profile_predictions_loss: 91.3704 - logcount_predictions_loss: 0.6427 118/981 [==>...........................] - ETA: 1:57 - loss: 93.0451 - 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[==>...........................] - ETA: 1:56 - loss: 93.1457 - logits_profile_predictions_loss: 91.6640 - logcount_predictions_loss: 0.6442 126/981 [==>...........................] - ETA: 1:56 - loss: 93.2174 - logits_profile_predictions_loss: 91.7388 - logcount_predictions_loss: 0.6429 127/981 [==>...........................] - ETA: 1:56 - loss: 93.1610 - logits_profile_predictions_loss: 91.6806 - logcount_predictions_loss: 0.6437 128/981 [==>...........................] - ETA: 1:56 - loss: 93.1549 - logits_profile_predictions_loss: 91.6776 - logcount_predictions_loss: 0.6423 129/981 [==>...........................] - ETA: 1:56 - loss: 93.0295 - logits_profile_predictions_loss: 91.5515 - logcount_predictions_loss: 0.6426 130/981 [==>...........................] - ETA: 1:55 - loss: 92.9032 - logits_profile_predictions_loss: 91.4238 - logcount_predictions_loss: 0.6432 131/981 [===>..........................] - ETA: 1:55 - loss: 92.8824 - logits_profile_predictions_loss: 91.4028 - 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[============================>.] - ETA: 0s - loss: 93.5571 - logits_profile_predictions_loss: 92.0385 - logcount_predictions_loss: 0.6602 978/981 [============================>.] - ETA: 0s - loss: 93.5571 - logits_profile_predictions_loss: 92.0390 - logcount_predictions_loss: 0.6600 979/981 [============================>.] - ETA: 0s - loss: 93.5535 - logits_profile_predictions_loss: 92.0360 - logcount_predictions_loss: 0.6598 980/981 [============================>.] - ETA: 0s - loss: 93.5545 - logits_profile_predictions_loss: 92.0375 - logcount_predictions_loss: 0.6596 981/981 [==============================] - ETA: 0s - loss: 93.5421 - logits_profile_predictions_loss: 92.0247 - logcount_predictions_loss: 0.6597 Epoch 9: val_loss did not improve from 112.76586  981/981 [==============================] - 146s 149ms/step - loss: 93.5421 - logits_profile_predictions_loss: 92.0247 - logcount_predictions_loss: 0.6597 - val_loss: 113.8585 - val_logits_profile_predictions_loss: 112.2884 - val_logcount_predictions_loss: 0.6827 Epoch 10/50 1/981 [..............................] - ETA: 2:25 - loss: 103.0409 - logits_profile_predictions_loss: 101.7966 - logcount_predictions_loss: 0.5410 2/981 [..............................] - ETA: 2:13 - loss: 99.3506 - logits_profile_predictions_loss: 97.7463 - logcount_predictions_loss: 0.6975  3/981 [..............................] - ETA: 2:13 - loss: 98.4716 - logits_profile_predictions_loss: 96.9769 - logcount_predictions_loss: 0.6498 4/981 [..............................] - ETA: 2:13 - loss: 90.9744 - logits_profile_predictions_loss: 89.5236 - logcount_predictions_loss: 0.6307 5/981 [..............................] - ETA: 2:13 - loss: 91.1768 - logits_profile_predictions_loss: 89.6790 - logcount_predictions_loss: 0.6512 6/981 [..............................] - ETA: 2:12 - loss: 93.5616 - logits_profile_predictions_loss: 92.0431 - logcount_predictions_loss: 0.6602 7/981 [..............................] - ETA: 2:12 - loss: 92.9113 - logits_profile_predictions_loss: 91.4020 - logcount_predictions_loss: 0.6562 8/981 [..............................] - ETA: 2:12 - loss: 92.7773 - logits_profile_predictions_loss: 91.3164 - logcount_predictions_loss: 0.6352 9/981 [..............................] - ETA: 2:12 - loss: 93.5498 - logits_profile_predictions_loss: 92.1090 - logcount_predictions_loss: 0.6265 10/981 [..............................] - ETA: 2:12 - loss: 94.3585 - logits_profile_predictions_loss: 92.8982 - logcount_predictions_loss: 0.6349 11/981 [..............................] - ETA: 2:12 - loss: 93.6450 - logits_profile_predictions_loss: 92.1648 - logcount_predictions_loss: 0.6435 12/981 [..............................] - ETA: 2:12 - loss: 92.4392 - logits_profile_predictions_loss: 90.9554 - logcount_predictions_loss: 0.6451 13/981 [..............................] - ETA: 2:12 - loss: 92.0234 - logits_profile_predictions_loss: 90.4859 - logcount_predictions_loss: 0.6685 14/981 [..............................] - ETA: 2:11 - loss: 91.6679 - logits_profile_predictions_loss: 90.1317 - logcount_predictions_loss: 0.6679 15/981 [..............................] - ETA: 2:11 - loss: 91.9001 - logits_profile_predictions_loss: 90.3686 - logcount_predictions_loss: 0.6659 16/981 [..............................] - ETA: 2:11 - loss: 91.2349 - logits_profile_predictions_loss: 89.7118 - logcount_predictions_loss: 0.6622 17/981 [..............................] - ETA: 2:11 - loss: 91.1964 - logits_profile_predictions_loss: 89.6235 - logcount_predictions_loss: 0.6839 18/981 [..............................] - ETA: 2:11 - loss: 91.3500 - logits_profile_predictions_loss: 89.7944 - logcount_predictions_loss: 0.6764 19/981 [..............................] - ETA: 2:11 - loss: 90.4007 - logits_profile_predictions_loss: 88.8505 - logcount_predictions_loss: 0.6740 20/981 [..............................] - ETA: 2:11 - loss: 90.0964 - logits_profile_predictions_loss: 88.5452 - logcount_predictions_loss: 0.6744 21/981 [..............................] - ETA: 2:10 - loss: 90.1335 - logits_profile_predictions_loss: 88.5811 - logcount_predictions_loss: 0.6749 22/981 [..............................] - ETA: 2:10 - loss: 90.3308 - logits_profile_predictions_loss: 88.7716 - logcount_predictions_loss: 0.6779 23/981 [..............................] - ETA: 2:10 - loss: 90.4716 - logits_profile_predictions_loss: 88.9306 - logcount_predictions_loss: 0.6700 24/981 [..............................] - ETA: 2:10 - loss: 90.3203 - logits_profile_predictions_loss: 88.7636 - logcount_predictions_loss: 0.6769 25/981 [..............................] - ETA: 2:10 - loss: 90.1266 - logits_profile_predictions_loss: 88.5495 - logcount_predictions_loss: 0.6857 26/981 [..............................] - ETA: 2:10 - loss: 90.7629 - logits_profile_predictions_loss: 89.2011 - logcount_predictions_loss: 0.6790 27/981 [..............................] - ETA: 2:10 - loss: 90.9202 - logits_profile_predictions_loss: 89.3529 - logcount_predictions_loss: 0.6815 28/981 [..............................] - ETA: 2:10 - loss: 91.0680 - logits_profile_predictions_loss: 89.4994 - logcount_predictions_loss: 0.6820 29/981 [..............................] - ETA: 2:09 - loss: 90.7653 - logits_profile_predictions_loss: 89.1997 - logcount_predictions_loss: 0.6807 30/981 [..............................] - ETA: 2:09 - loss: 90.5720 - logits_profile_predictions_loss: 89.0094 - logcount_predictions_loss: 0.6794 31/981 [..............................] - ETA: 2:09 - loss: 90.7535 - logits_profile_predictions_loss: 89.1925 - logcount_predictions_loss: 0.6787 32/981 [..............................] - ETA: 2:09 - loss: 90.6806 - logits_profile_predictions_loss: 89.1217 - logcount_predictions_loss: 0.6778 33/981 [>.............................] - ETA: 2:09 - loss: 91.0489 - logits_profile_predictions_loss: 89.5031 - logcount_predictions_loss: 0.6720 34/981 [>.............................] - ETA: 2:09 - loss: 91.2379 - logits_profile_predictions_loss: 89.7003 - logcount_predictions_loss: 0.6685 35/981 [>.............................] - ETA: 2:09 - loss: 91.2297 - logits_profile_predictions_loss: 89.6983 - logcount_predictions_loss: 0.6658 36/981 [>.............................] - ETA: 2:08 - loss: 91.5088 - logits_profile_predictions_loss: 89.9764 - logcount_predictions_loss: 0.6662 37/981 [>.............................] - ETA: 2:08 - loss: 91.5588 - logits_profile_predictions_loss: 90.0191 - logcount_predictions_loss: 0.6694 38/981 [>.............................] - ETA: 2:08 - loss: 91.4768 - logits_profile_predictions_loss: 89.9408 - logcount_predictions_loss: 0.6678 39/981 [>.............................] - ETA: 2:08 - loss: 91.4813 - logits_profile_predictions_loss: 89.9375 - logcount_predictions_loss: 0.6712 40/981 [>.............................] - ETA: 2:08 - loss: 91.0865 - logits_profile_predictions_loss: 89.5545 - logcount_predictions_loss: 0.6661 41/981 [>.............................] - ETA: 2:08 - loss: 91.3735 - logits_profile_predictions_loss: 89.8563 - logcount_predictions_loss: 0.6597 42/981 [>.............................] - ETA: 2:08 - loss: 91.3741 - logits_profile_predictions_loss: 89.8655 - logcount_predictions_loss: 0.6559 43/981 [>.............................] - ETA: 2:07 - loss: 91.5173 - logits_profile_predictions_loss: 90.0077 - logcount_predictions_loss: 0.6563 44/981 [>.............................] - ETA: 2:07 - loss: 91.1055 - logits_profile_predictions_loss: 89.6045 - logcount_predictions_loss: 0.6526 45/981 [>.............................] - ETA: 2:07 - loss: 91.3919 - logits_profile_predictions_loss: 89.8848 - logcount_predictions_loss: 0.6552 46/981 [>.............................] - ETA: 2:07 - loss: 91.7503 - logits_profile_predictions_loss: 90.2448 - logcount_predictions_loss: 0.6546 47/981 [>.............................] - ETA: 2:07 - loss: 91.5632 - logits_profile_predictions_loss: 90.0491 - logcount_predictions_loss: 0.6583 48/981 [>.............................] - ETA: 2:07 - loss: 91.4611 - logits_profile_predictions_loss: 89.9565 - logcount_predictions_loss: 0.6542 49/981 [>.............................] - ETA: 2:07 - loss: 91.5004 - logits_profile_predictions_loss: 89.9955 - logcount_predictions_loss: 0.6543 50/981 [>.............................] - ETA: 2:07 - loss: 91.7163 - logits_profile_predictions_loss: 90.2108 - logcount_predictions_loss: 0.6546 51/981 [>.............................] - ETA: 2:06 - loss: 91.7127 - logits_profile_predictions_loss: 90.2149 - logcount_predictions_loss: 0.6512 52/981 [>.............................] - ETA: 2:06 - loss: 91.7968 - logits_profile_predictions_loss: 90.2939 - logcount_predictions_loss: 0.6535 53/981 [>.............................] - ETA: 2:06 - loss: 91.7563 - logits_profile_predictions_loss: 90.2525 - logcount_predictions_loss: 0.6538 54/981 [>.............................] - ETA: 2:06 - loss: 91.9374 - logits_profile_predictions_loss: 90.4462 - logcount_predictions_loss: 0.6484 55/981 [>.............................] - ETA: 2:06 - loss: 91.8272 - logits_profile_predictions_loss: 90.3358 - logcount_predictions_loss: 0.6484 56/981 [>.............................] - ETA: 2:06 - loss: 91.9092 - logits_profile_predictions_loss: 90.4218 - logcount_predictions_loss: 0.6467 57/981 [>.............................] - ETA: 2:06 - loss: 91.7625 - logits_profile_predictions_loss: 90.2743 - logcount_predictions_loss: 0.6470 58/981 [>.............................] - ETA: 2:05 - loss: 92.0167 - logits_profile_predictions_loss: 90.5194 - logcount_predictions_loss: 0.6510 59/981 [>.............................] - ETA: 2:05 - loss: 92.1760 - logits_profile_predictions_loss: 90.6817 - logcount_predictions_loss: 0.6497 60/981 [>.............................] - ETA: 2:05 - loss: 92.1358 - logits_profile_predictions_loss: 90.6387 - logcount_predictions_loss: 0.6509 61/981 [>.............................] - ETA: 2:05 - loss: 92.0570 - logits_profile_predictions_loss: 90.5578 - logcount_predictions_loss: 0.6518 62/981 [>.............................] - ETA: 2:05 - loss: 92.0233 - logits_profile_predictions_loss: 90.5251 - logcount_predictions_loss: 0.6514 63/981 [>.............................] - ETA: 2:05 - loss: 91.9048 - logits_profile_predictions_loss: 90.3957 - logcount_predictions_loss: 0.6561 64/981 [>.............................] - ETA: 2:05 - loss: 91.7667 - logits_profile_predictions_loss: 90.2527 - logcount_predictions_loss: 0.6583 65/981 [>.............................] - ETA: 2:04 - loss: 91.6303 - logits_profile_predictions_loss: 90.1185 - logcount_predictions_loss: 0.6573 66/981 [=>............................] - ETA: 2:04 - loss: 91.5278 - logits_profile_predictions_loss: 90.0173 - logcount_predictions_loss: 0.6567 67/981 [=>............................] - ETA: 2:04 - loss: 91.5201 - logits_profile_predictions_loss: 90.0091 - logcount_predictions_loss: 0.6570 68/981 [=>............................] - ETA: 2:04 - loss: 91.5671 - logits_profile_predictions_loss: 90.0559 - logcount_predictions_loss: 0.6570 69/981 [=>............................] - ETA: 2:04 - loss: 91.4993 - logits_profile_predictions_loss: 89.9916 - logcount_predictions_loss: 0.6555 70/981 [=>............................] - ETA: 2:04 - loss: 91.5241 - logits_profile_predictions_loss: 90.0155 - logcount_predictions_loss: 0.6559 71/981 [=>............................] - ETA: 2:04 - loss: 91.4928 - logits_profile_predictions_loss: 89.9786 - logcount_predictions_loss: 0.6584 72/981 [=>............................] - ETA: 2:03 - loss: 91.3632 - logits_profile_predictions_loss: 89.8515 - logcount_predictions_loss: 0.6572 73/981 [=>............................] - ETA: 2:03 - loss: 91.3897 - logits_profile_predictions_loss: 89.8811 - logcount_predictions_loss: 0.6559 74/981 [=>............................] - ETA: 2:03 - loss: 91.4242 - logits_profile_predictions_loss: 89.9160 - logcount_predictions_loss: 0.6557 75/981 [=>............................] - ETA: 2:03 - loss: 91.5429 - logits_profile_predictions_loss: 90.0294 - logcount_predictions_loss: 0.6581 76/981 [=>............................] - ETA: 2:03 - loss: 91.5881 - logits_profile_predictions_loss: 90.0782 - logcount_predictions_loss: 0.6565 77/981 [=>............................] - ETA: 2:03 - loss: 91.3799 - logits_profile_predictions_loss: 89.8695 - logcount_predictions_loss: 0.6567 78/981 [=>............................] - ETA: 2:03 - loss: 91.4285 - logits_profile_predictions_loss: 89.9208 - logcount_predictions_loss: 0.6555 79/981 [=>............................] - ETA: 2:02 - loss: 91.5650 - logits_profile_predictions_loss: 90.0601 - logcount_predictions_loss: 0.6543 80/981 [=>............................] - ETA: 2:02 - loss: 91.8614 - logits_profile_predictions_loss: 90.3575 - logcount_predictions_loss: 0.6539 81/981 [=>............................] - ETA: 2:02 - loss: 91.9212 - logits_profile_predictions_loss: 90.4158 - logcount_predictions_loss: 0.6545 82/981 [=>............................] - ETA: 2:02 - loss: 92.1438 - logits_profile_predictions_loss: 90.6372 - logcount_predictions_loss: 0.6550 83/981 [=>............................] - ETA: 2:02 - loss: 92.0319 - logits_profile_predictions_loss: 90.5220 - logcount_predictions_loss: 0.6565 84/981 [=>............................] - ETA: 2:02 - loss: 92.1175 - logits_profile_predictions_loss: 90.6048 - logcount_predictions_loss: 0.6577 85/981 [=>............................] - ETA: 2:02 - loss: 92.1994 - logits_profile_predictions_loss: 90.6879 - logcount_predictions_loss: 0.6572 86/981 [=>............................] - ETA: 2:01 - loss: 92.3469 - logits_profile_predictions_loss: 90.8295 - logcount_predictions_loss: 0.6597 87/981 [=>............................] - ETA: 2:01 - loss: 92.3434 - logits_profile_predictions_loss: 90.8293 - logcount_predictions_loss: 0.6583 88/981 [=>............................] - ETA: 2:01 - loss: 92.5044 - logits_profile_predictions_loss: 90.9901 - logcount_predictions_loss: 0.6584 89/981 [=>............................] - ETA: 2:01 - loss: 92.4149 - logits_profile_predictions_loss: 90.9035 - logcount_predictions_loss: 0.6571 90/981 [=>............................] - ETA: 2:01 - loss: 92.2561 - logits_profile_predictions_loss: 90.7423 - logcount_predictions_loss: 0.6581 91/981 [=>............................] - ETA: 2:01 - loss: 92.2852 - logits_profile_predictions_loss: 90.7696 - logcount_predictions_loss: 0.6590 92/981 [=>............................] - ETA: 2:01 - loss: 92.2759 - logits_profile_predictions_loss: 90.7629 - logcount_predictions_loss: 0.6578 93/981 [=>............................] - ETA: 2:00 - loss: 92.3389 - logits_profile_predictions_loss: 90.8254 - logcount_predictions_loss: 0.6580 94/981 [=>............................] - ETA: 2:00 - loss: 92.4146 - logits_profile_predictions_loss: 90.9017 - logcount_predictions_loss: 0.6578 95/981 [=>............................] - ETA: 2:00 - loss: 92.3048 - logits_profile_predictions_loss: 90.7948 - logcount_predictions_loss: 0.6565 96/981 [=>............................] - ETA: 2:00 - loss: 92.1952 - logits_profile_predictions_loss: 90.6869 - logcount_predictions_loss: 0.6558 97/981 [=>............................] - ETA: 2:00 - loss: 92.2601 - logits_profile_predictions_loss: 90.7502 - logcount_predictions_loss: 0.6565 98/981 [=>............................] - ETA: 2:00 - loss: 92.3187 - logits_profile_predictions_loss: 90.8104 - logcount_predictions_loss: 0.6558 99/981 [==>...........................] - ETA: 2:00 - loss: 92.2524 - logits_profile_predictions_loss: 90.7470 - logcount_predictions_loss: 0.6545 100/981 [==>...........................] - ETA: 1:59 - loss: 92.3184 - logits_profile_predictions_loss: 90.8156 - logcount_predictions_loss: 0.6534 101/981 [==>...........................] - ETA: 1:59 - loss: 92.2637 - logits_profile_predictions_loss: 90.7620 - logcount_predictions_loss: 0.6529 102/981 [==>...........................] - ETA: 1:59 - loss: 92.3161 - logits_profile_predictions_loss: 90.8128 - logcount_predictions_loss: 0.6536 103/981 [==>...........................] - ETA: 1:59 - loss: 92.3246 - logits_profile_predictions_loss: 90.8252 - logcount_predictions_loss: 0.6519 104/981 [==>...........................] - ETA: 1:59 - loss: 92.3665 - logits_profile_predictions_loss: 90.8647 - logcount_predictions_loss: 0.6530 105/981 [==>...........................] - ETA: 1:59 - loss: 92.2936 - logits_profile_predictions_loss: 90.7935 - logcount_predictions_loss: 0.6522 106/981 [==>...........................] - ETA: 1:59 - loss: 92.3707 - logits_profile_predictions_loss: 90.8689 - logcount_predictions_loss: 0.6530 107/981 [==>...........................] - ETA: 1:59 - loss: 92.2302 - logits_profile_predictions_loss: 90.7227 - logcount_predictions_loss: 0.6555 108/981 [==>...........................] - ETA: 1:58 - loss: 92.1507 - logits_profile_predictions_loss: 90.6419 - logcount_predictions_loss: 0.6560 109/981 [==>...........................] - ETA: 1:58 - loss: 92.1295 - logits_profile_predictions_loss: 90.6204 - logcount_predictions_loss: 0.6561 110/981 [==>...........................] - ETA: 1:58 - loss: 92.0703 - logits_profile_predictions_loss: 90.5595 - logcount_predictions_loss: 0.6569 111/981 [==>...........................] - ETA: 1:58 - loss: 91.9773 - logits_profile_predictions_loss: 90.4676 - logcount_predictions_loss: 0.6564 112/981 [==>...........................] - ETA: 1:58 - loss: 91.8709 - logits_profile_predictions_loss: 90.3579 - logcount_predictions_loss: 0.6578 113/981 [==>...........................] - ETA: 1:58 - loss: 91.8577 - logits_profile_predictions_loss: 90.3490 - logcount_predictions_loss: 0.6560 114/981 [==>...........................] - ETA: 1:58 - loss: 91.8511 - logits_profile_predictions_loss: 90.3438 - logcount_predictions_loss: 0.6554 115/981 [==>...........................] - ETA: 1:57 - loss: 91.7469 - logits_profile_predictions_loss: 90.2416 - logcount_predictions_loss: 0.6545 116/981 [==>...........................] - ETA: 1:57 - loss: 91.6541 - logits_profile_predictions_loss: 90.1500 - logcount_predictions_loss: 0.6540 117/981 [==>...........................] - ETA: 1:57 - loss: 91.7114 - logits_profile_predictions_loss: 90.2085 - logcount_predictions_loss: 0.6534 118/981 [==>...........................] - ETA: 1:57 - loss: 91.7807 - logits_profile_predictions_loss: 90.2768 - logcount_predictions_loss: 0.6539 119/981 [==>...........................] - ETA: 1:57 - loss: 91.7867 - logits_profile_predictions_loss: 90.2814 - logcount_predictions_loss: 0.6545 120/981 [==>...........................] - ETA: 1:57 - loss: 91.7607 - logits_profile_predictions_loss: 90.2542 - logcount_predictions_loss: 0.6550 121/981 [==>...........................] - ETA: 1:57 - loss: 91.7596 - logits_profile_predictions_loss: 90.2549 - logcount_predictions_loss: 0.6542 122/981 [==>...........................] - ETA: 1:56 - loss: 91.7291 - logits_profile_predictions_loss: 90.2253 - logcount_predictions_loss: 0.6538 123/981 [==>...........................] - ETA: 1:56 - loss: 91.7423 - logits_profile_predictions_loss: 90.2390 - logcount_predictions_loss: 0.6536 124/981 [==>...........................] - ETA: 1:56 - loss: 91.7878 - logits_profile_predictions_loss: 90.2840 - logcount_predictions_loss: 0.6539 125/981 [==>...........................] - ETA: 1:56 - loss: 91.7299 - logits_profile_predictions_loss: 90.2311 - logcount_predictions_loss: 0.6517 126/981 [==>...........................] - ETA: 1:56 - loss: 91.7057 - logits_profile_predictions_loss: 90.2050 - logcount_predictions_loss: 0.6525 127/981 [==>...........................] - ETA: 1:56 - loss: 91.6569 - logits_profile_predictions_loss: 90.1532 - logcount_predictions_loss: 0.6538 128/981 [==>...........................] - ETA: 1:56 - loss: 91.5760 - logits_profile_predictions_loss: 90.0705 - logcount_predictions_loss: 0.6546 129/981 [==>...........................] - ETA: 1:56 - loss: 91.5894 - logits_profile_predictions_loss: 90.0849 - logcount_predictions_loss: 0.6541 130/981 [==>...........................] - ETA: 1:55 - loss: 91.7015 - logits_profile_predictions_loss: 90.1982 - logcount_predictions_loss: 0.6536 131/981 [===>..........................] - ETA: 1:55 - loss: 91.6112 - logits_profile_predictions_loss: 90.1095 - logcount_predictions_loss: 0.6529 132/981 [===>..........................] - ETA: 1:55 - loss: 91.7084 - logits_profile_predictions_loss: 90.2043 - logcount_predictions_loss: 0.6540 133/981 [===>..........................] - ETA: 1:55 - loss: 91.6834 - logits_profile_predictions_loss: 90.1809 - logcount_predictions_loss: 0.6533 134/981 [===>..........................] - ETA: 1:55 - loss: 91.7080 - logits_profile_predictions_loss: 90.2065 - logcount_predictions_loss: 0.6528 135/981 [===>..........................] - ETA: 1:55 - loss: 91.7368 - 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logcount_predictions_loss: 0.6388 981/981 [==============================] - ETA: 0s - loss: 92.6847 - logits_profile_predictions_loss: 91.2160 - logcount_predictions_loss: 0.6386 Epoch 10: val_loss did not improve from 112.76586 Restoring model weights from the end of the best epoch: 5.  981/981 [==============================] - 144s 147ms/step - loss: 92.6847 - logits_profile_predictions_loss: 91.2160 - logcount_predictions_loss: 0.6386 - val_loss: 114.5320 - val_logits_profile_predictions_loss: 112.9790 - val_logcount_predictions_loss: 0.6752 Epoch 10: early stopping save model save model without bias got the model loading peaks... got split:test for bed regions:(16300, 10) 0/255 100/255 200/255 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 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[============================>.] - ETA: 0s 249/255 [============================>.] - ETA: 0s 251/255 [============================>.] - ETA: 0s 253/255 [============================>.] - ETA: 0s 255/255 [==============================] - ETA: 0s 255/255 [==============================] - 12s 48ms/step Saving marginal footprints got the model Model: "model_1" __________________________________________________________________________________________________ Layer (type) Output Shape Param # Connected to ================================================================================================== sequence (InputLayer) [(None, 2114, 4)] 0 [] wo_bias_bpnet_1st_conv (Conv1D (None, 2094, 512) 43520 ['sequence[0][0]'] ) wo_bias_bpnet_1conv (Conv1D) (None, 2090, 512) 786944 ['wo_bias_bpnet_1st_conv[0][0]'] wo_bias_bpnet_1crop (Cropping1 (None, 2090, 512) 0 ['wo_bias_bpnet_1st_conv[0][0]'] D) add (Add) (None, 2090, 512) 0 ['wo_bias_bpnet_1conv[0][0]', 'wo_bias_bpnet_1crop[0][0]'] wo_bias_bpnet_2conv (Conv1D) (None, 2082, 512) 786944 ['add[0][0]'] wo_bias_bpnet_2crop (Cropping1 (None, 2082, 512) 0 ['add[0][0]'] D) add_1 (Add) (None, 2082, 512) 0 ['wo_bias_bpnet_2conv[0][0]', 'wo_bias_bpnet_2crop[0][0]'] wo_bias_bpnet_3conv (Conv1D) (None, 2066, 512) 786944 ['add_1[0][0]'] wo_bias_bpnet_3crop (Cropping1 (None, 2066, 512) 0 ['add_1[0][0]'] D) add_2 (Add) (None, 2066, 512) 0 ['wo_bias_bpnet_3conv[0][0]', 'wo_bias_bpnet_3crop[0][0]'] wo_bias_bpnet_4conv (Conv1D) (None, 2034, 512) 786944 ['add_2[0][0]'] wo_bias_bpnet_4crop (Cropping1 (None, 2034, 512) 0 ['add_2[0][0]'] D) add_3 (Add) (None, 2034, 512) 0 ['wo_bias_bpnet_4conv[0][0]', 'wo_bias_bpnet_4crop[0][0]'] wo_bias_bpnet_5conv (Conv1D) (None, 1970, 512) 786944 ['add_3[0][0]'] wo_bias_bpnet_5crop (Cropping1 (None, 1970, 512) 0 ['add_3[0][0]'] D) add_4 (Add) (None, 1970, 512) 0 ['wo_bias_bpnet_5conv[0][0]', 'wo_bias_bpnet_5crop[0][0]'] wo_bias_bpnet_6conv (Conv1D) (None, 1842, 512) 786944 ['add_4[0][0]'] wo_bias_bpnet_6crop (Cropping1 (None, 1842, 512) 0 ['add_4[0][0]'] D) add_5 (Add) (None, 1842, 512) 0 ['wo_bias_bpnet_6conv[0][0]', 'wo_bias_bpnet_6crop[0][0]'] wo_bias_bpnet_7conv (Conv1D) (None, 1586, 512) 786944 ['add_5[0][0]'] wo_bias_bpnet_7crop (Cropping1 (None, 1586, 512) 0 ['add_5[0][0]'] D) add_6 (Add) (None, 1586, 512) 0 ['wo_bias_bpnet_7conv[0][0]', 'wo_bias_bpnet_7crop[0][0]'] wo_bias_bpnet_8conv (Conv1D) (None, 1074, 512) 786944 ['add_6[0][0]'] wo_bias_bpnet_8crop (Cropping1 (None, 1074, 512) 0 ['add_6[0][0]'] D) add_7 (Add) (None, 1074, 512) 0 ['wo_bias_bpnet_8conv[0][0]', 'wo_bias_bpnet_8crop[0][0]'] wo_bias_bpnet_prof_out_precrop (None, 1000, 1) 38401 ['add_7[0][0]'] (Conv1D) wo_bias_bpnet_logitt_before_fl (None, 1000, 1) 0 ['wo_bias_bpnet_prof_out_precrop[ atten (Cropping1D) 0][0]'] gap (GlobalAveragePooling1D) (None, 512) 0 ['add_7[0][0]'] wo_bias_bpnet_logits_profile_p (None, 1000) 0 ['wo_bias_bpnet_logitt_before_fla redictions (Flatten) tten[0][0]'] wo_bias_bpnet_logcount_predict (None, 1) 513 ['gap[0][0]'] ions (Dense) ================================================================================================== Total params: 6,377,986 Trainable params: 6,377,986 Non-trainable params: 0 __________________________________________________________________________________________________ inferred model inputlen: 2114 Seqs dimension : (30000, 2114, 4) Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: StopGradient used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Generating 'profile' shap scores Done 0 examples of 30000 Done 100 examples of 30000 Done 200 examples of 30000 Done 300 examples of 30000 Done 400 examples of 30000 Done 500 examples of 30000 Done 600 examples of 30000 Done 700 examples of 30000 Done 800 examples of 30000 Done 900 examples of 30000 Done 1000 examples of 30000 Done 1100 examples of 30000 Done 1200 examples of 30000 Done 1300 examples of 30000 Done 1400 examples of 30000 Done 1500 examples of 30000 Done 1600 examples of 30000 Done 1700 examples of 30000 Done 1800 examples of 30000 Done 1900 examples of 30000 Done 2000 examples of 30000 Done 2100 examples of 30000 Done 2200 examples of 30000 Done 2300 examples of 30000 Done 2400 examples of 30000 Done 2500 examples of 30000 Done 2600 examples of 30000 Done 2700 examples of 30000 Done 2800 examples of 30000 Done 2900 examples of 30000 Done 3000 examples of 30000 Done 3100 examples of 30000 Done 3200 examples of 30000 Done 3300 examples of 30000 Done 3400 examples of 30000 Done 3500 examples of 30000 Done 3600 examples of 30000 Done 3700 examples of 30000 Done 3800 examples of 30000 Done 3900 examples of 30000 Done 4000 examples of 30000 Done 4100 examples of 30000 Done 4200 examples of 30000 Done 4300 examples of 30000 Done 4400 examples of 30000 Done 4500 examples of 30000 Done 4600 examples of 30000 Done 4700 examples of 30000 Done 4800 examples of 30000 Done 4900 examples of 30000 Done 5000 examples of 30000 Done 5100 examples of 30000 Done 5200 examples of 30000 Done 5300 examples of 30000 Done 5400 examples of 30000 Done 5500 examples of 30000 Done 5600 examples of 30000 Done 5700 examples of 30000 Done 5800 examples of 30000 Done 5900 examples of 30000 Done 6000 examples of 30000 Done 6100 examples of 30000 Done 6200 examples of 30000 Done 6300 examples of 30000 Done 6400 examples of 30000 Done 6500 examples of 30000 Done 6600 examples of 30000 Done 6700 examples of 30000 Done 6800 examples of 30000 Done 6900 examples of 30000 Done 7000 examples of 30000 Done 7100 examples of 30000 Done 7200 examples of 30000 Done 7300 examples of 30000 Done 7400 examples of 30000 Done 7500 examples of 30000 Done 7600 examples of 30000 Done 7700 examples of 30000 Done 7800 examples of 30000 Done 7900 examples of 30000 Done 8000 examples of 30000 Done 8100 examples of 30000 Done 8200 examples of 30000 Done 8300 examples of 30000 Done 8400 examples of 30000 Done 8500 examples of 30000 Done 8600 examples of 30000 Done 8700 examples of 30000 Done 8800 examples of 30000 Done 8900 examples of 30000 Done 9000 examples of 30000 Done 9100 examples of 30000 Done 9200 examples of 30000 Done 9300 examples of 30000 Done 9400 examples of 30000 Done 9500 examples of 30000 Done 9600 examples of 30000 Done 9700 examples of 30000 Done 9800 examples of 30000 Done 9900 examples of 30000 Done 10000 examples of 30000 Done 10100 examples of 30000 Done 10200 examples of 30000 Done 10300 examples of 30000 Done 10400 examples of 30000 Done 10500 examples of 30000 Done 10600 examples of 30000 Done 10700 examples of 30000 Done 10800 examples of 30000 Done 10900 examples of 30000 Done 11000 examples of 30000 Done 11100 examples of 30000 Done 11200 examples of 30000 Done 11300 examples of 30000 Done 11400 examples of 30000 Done 11500 examples of 30000 Done 11600 examples of 30000 Done 11700 examples of 30000 Done 11800 examples of 30000 Done 11900 examples of 30000 Done 12000 examples of 30000 Done 12100 examples of 30000 Done 12200 examples of 30000 Done 12300 examples of 30000 Done 12400 examples of 30000 Done 12500 examples of 30000 Done 12600 examples of 30000 Done 12700 examples of 30000 Done 12800 examples of 30000 Done 12900 examples of 30000 Done 13000 examples of 30000 Done 13100 examples of 30000 Done 13200 examples of 30000 Done 13300 examples of 30000 Done 13400 examples of 30000 Done 13500 examples of 30000 Done 13600 examples of 30000 Done 13700 examples of 30000 Done 13800 examples of 30000 Done 13900 examples of 30000 Done 14000 examples of 30000 Done 14100 examples of 30000 Done 14200 examples of 30000 Done 14300 examples of 30000 Done 14400 examples of 30000 Done 14500 examples of 30000 Done 14600 examples of 30000 Done 14700 examples of 30000 Done 14800 examples of 30000 Done 14900 examples of 30000 Done 15000 examples of 30000 Done 15100 examples of 30000 Done 15200 examples of 30000 Done 15300 examples of 30000 Done 15400 examples of 30000 Done 15500 examples of 30000 Done 15600 examples of 30000 Done 15700 examples of 30000 Done 15800 examples of 30000 Done 15900 examples of 30000 Done 16000 examples of 30000 Done 16100 examples of 30000 Done 16200 examples of 30000 Done 16300 examples of 30000 Done 16400 examples of 30000 Done 16500 examples of 30000 Done 16600 examples of 30000 Done 16700 examples of 30000 Done 16800 examples of 30000 Done 16900 examples of 30000 Done 17000 examples of 30000 Done 17100 examples of 30000 Done 17200 examples of 30000 Done 17300 examples of 30000 Done 17400 examples of 30000 Done 17500 examples of 30000 Done 17600 examples of 30000 Done 17700 examples of 30000 Done 17800 examples of 30000 Done 17900 examples of 30000 Done 18000 examples of 30000 Done 18100 examples of 30000 Done 18200 examples of 30000 Done 18300 examples of 30000 Done 18400 examples of 30000 Done 18500 examples of 30000 Done 18600 examples of 30000 Done 18700 examples of 30000 Done 18800 examples of 30000 Done 18900 examples of 30000 Done 19000 examples of 30000 Done 19100 examples of 30000 Done 19200 examples of 30000 Done 19300 examples of 30000 Done 19400 examples of 30000 Done 19500 examples of 30000 Done 19600 examples of 30000 Done 19700 examples of 30000 Done 19800 examples of 30000 Done 19900 examples of 30000 Done 20000 examples of 30000 Done 20100 examples of 30000 Done 20200 examples of 30000 Done 20300 examples of 30000 Done 20400 examples of 30000 Done 20500 examples of 30000 Done 20600 examples of 30000 Done 20700 examples of 30000 Done 20800 examples of 30000 Done 20900 examples of 30000 Done 21000 examples of 30000 Done 21100 examples of 30000 Done 21200 examples of 30000 Done 21300 examples of 30000 Done 21400 examples of 30000 Done 21500 examples of 30000 Done 21600 examples of 30000 Done 21700 examples of 30000 Done 21800 examples of 30000 Done 21900 examples of 30000 Done 22000 examples of 30000 Done 22100 examples of 30000 Done 22200 examples of 30000 Done 22300 examples of 30000 Done 22400 examples of 30000 Done 22500 examples of 30000 Done 22600 examples of 30000 Done 22700 examples of 30000 Done 22800 examples of 30000 Done 22900 examples of 30000 Done 23000 examples of 30000 Done 23100 examples of 30000 Done 23200 examples of 30000 Done 23300 examples of 30000 Done 23400 examples of 30000 Done 23500 examples of 30000 Done 23600 examples of 30000 Done 23700 examples of 30000 Done 23800 examples of 30000 Done 23900 examples of 30000 Done 24000 examples of 30000 Done 24100 examples of 30000 Done 24200 examples of 30000 Done 24300 examples of 30000 Done 24400 examples of 30000 Done 24500 examples of 30000 Done 24600 examples of 30000 Done 24700 examples of 30000 Done 24800 examples of 30000 Done 24900 examples of 30000 Done 25000 examples of 30000 Done 25100 examples of 30000 Done 25200 examples of 30000 Done 25300 examples of 30000 Done 25400 examples of 30000 Done 25500 examples of 30000 Done 25600 examples of 30000 Done 25700 examples of 30000 Done 25800 examples of 30000 Done 25900 examples of 30000 Done 26000 examples of 30000 Done 26100 examples of 30000 Done 26200 examples of 30000 Done 26300 examples of 30000 Done 26400 examples of 30000 Done 26500 examples of 30000 Done 26600 examples of 30000 Done 26700 examples of 30000 Done 26800 examples of 30000 Done 26900 examples of 30000 Done 27000 examples of 30000 Done 27100 examples of 30000 Done 27200 examples of 30000 Done 27300 examples of 30000 Done 27400 examples of 30000 Done 27500 examples of 30000 Done 27600 examples of 30000 Done 27700 examples of 30000 Done 27800 examples of 30000 Done 27900 examples of 30000 Done 28000 examples of 30000 Done 28100 examples of 30000 Done 28200 examples of 30000 Done 28300 examples of 30000 Done 28400 examples of 30000 Done 28500 examples of 30000 Done 28600 examples of 30000 Done 28700 examples of 30000 Done 28800 examples of 30000 Done 28900 examples of 30000 Done 29000 examples of 30000 Done 29100 examples of 30000 Done 29200 examples of 30000 Done 29300 examples of 30000 Done 29400 examples of 30000 Done 29500 examples of 30000 Done 29600 examples of 30000 Done 29700 examples of 30000 Done 29800 examples of 30000 Done 29900 examples of 30000 Saving 'profile' scores