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: 23603 evaluating hyperparameters on the following chromosomes ['chr1', 'chr2', 'chr3', 'chr5', 'chr6', 'chr8', 'chr9', 'chr10', 'chr13', 'chr14', 'chr16', 'chr17', 'chr18', 'chr19', 'chr20', 'chr21', 'chrX', 'chr22', 'chr7'] Number of peaks input: 24993 Number of peaks filtered because the input/output is on the edge: 0 Number of peaks being used: 24993 Number of peaks input: 5332 Number of peaks filtered because the input/output is on the edge: 0 Number of peaks being used: 5332 Number of non peaks input: 49986 Number of non peaks filtered because the input/output is on the edge: 0 Number of non peaks being used: 49986 Number of non peaks input: 5332 Number of non peaks filtered because the input/output is on the edge: 0 Number of non peaks being used: 5332 Number of peaks after removing outliers: 24990 Number of nonpeaks after removing outliers: 11346 WARNING: you are training on low-read depth data 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 1/355 [..............................] - ETA: 9:12 6/355 [..............................] - ETA: 3s  10/355 [..............................] - ETA: 4s 14/355 [>.............................] - ETA: 4s 18/355 [>.............................] - ETA: 4s 22/355 [>.............................] - ETA: 4s 26/355 [=>............................] - ETA: 4s 30/355 [=>............................] - ETA: 4s 34/355 [=>............................] - ETA: 4s 38/355 [==>...........................] - ETA: 4s 42/355 [==>...........................] - ETA: 3s 46/355 [==>...........................] - ETA: 3s 50/355 [===>..........................] - ETA: 3s 54/355 [===>..........................] - ETA: 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[==============================] - 6s 13ms/step got the model loading peaks... got split:test for bed regions:(5332, 10) 0/84 Bias model pearsonr performance in peaks is: -0.12 {'counts_loss_weight': '1.0', 'filters': '512', 'n_dil_layers': '8', 'bias_model_path': '/oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.endocardial.In/fold_2/models/bias_model_scaled.h5', 'inputlen': '2114', 'outputlen': '1000', 'max_jitter': '500', 'chr_fold_path': '/oak/stanford/groups/akundaje/soumyak/refs/hg38/splits/fold_2.json', 'negative_sampling_ratio': '0.1'} got the model loading peaks... got split:train for bed regions:(22865, 10) loading nonpeaks... got split:train for bed regions:(10380, 10) loading peaks... got split:valid for bed regions:(2125, 10) loading nonpeaks... got split:valid for bed regions:(966, 10) Epoch 1/50 1/393 [..............................] - ETA: 40:45 - loss: 44.5049 - logits_profile_predictions_loss: 43.4319 - logcount_predictions_loss: 1.0730 2/393 [..............................] - ETA: 4:40 - loss: 899.0759 - logits_profile_predictions_loss: 43.2747 - logcount_predictions_loss: 855.8011 3/393 [..............................] - ETA: 4:38 - loss: 615.8969 - logits_profile_predictions_loss: 45.0564 - logcount_predictions_loss: 570.8406 4/393 [..............................] - ETA: 4:37 - loss: 475.3948 - logits_profile_predictions_loss: 46.8048 - logcount_predictions_loss: 428.5900 5/393 [..............................] - ETA: 4:36 - loss: 389.7320 - logits_profile_predictions_loss: 46.5414 - logcount_predictions_loss: 343.1906 6/393 [..............................] - ETA: 4:35 - loss: 332.5132 - logits_profile_predictions_loss: 46.2783 - logcount_predictions_loss: 286.2349 7/393 [..............................] - ETA: 4:34 - loss: 290.8274 - logits_profile_predictions_loss: 45.2980 - logcount_predictions_loss: 245.5294 8/393 [..............................] - ETA: 4:33 - loss: 259.5298 - logits_profile_predictions_loss: 44.5390 - logcount_predictions_loss: 214.9908 9/393 [..............................] - ETA: 4:32 - loss: 235.4714 - logits_profile_predictions_loss: 44.2109 - logcount_predictions_loss: 191.2605 10/393 [..............................] - ETA: 4:31 - loss: 216.8165 - logits_profile_predictions_loss: 44.5237 - logcount_predictions_loss: 172.2928 11/393 [..............................] - ETA: 4:31 - loss: 200.7469 - logits_profile_predictions_loss: 44.0005 - logcount_predictions_loss: 156.7464 12/393 [..............................] - ETA: 4:30 - loss: 187.6756 - logits_profile_predictions_loss: 43.8653 - logcount_predictions_loss: 143.8102 13/393 [..............................] - ETA: 4:29 - loss: 176.6277 - logits_profile_predictions_loss: 43.7655 - logcount_predictions_loss: 132.8622 14/393 [>.............................] - ETA: 4:28 - loss: 167.1871 - logits_profile_predictions_loss: 43.7139 - logcount_predictions_loss: 123.4732 15/393 [>.............................] - ETA: 4:27 - loss: 159.1009 - logits_profile_predictions_loss: 43.7577 - logcount_predictions_loss: 115.3432 16/393 [>.............................] - ETA: 4:26 - loss: 152.2020 - logits_profile_predictions_loss: 43.9539 - logcount_predictions_loss: 108.2481 17/393 [>.............................] - ETA: 4:26 - loss: 145.9726 - logits_profile_predictions_loss: 43.9957 - logcount_predictions_loss: 101.9770 18/393 [>.............................] - ETA: 4:25 - loss: 140.5333 - logits_profile_predictions_loss: 44.1210 - logcount_predictions_loss: 96.4123  19/393 [>.............................] - ETA: 4:24 - loss: 135.0776 - logits_profile_predictions_loss: 43.6822 - logcount_predictions_loss: 91.3954 20/393 [>.............................] - ETA: 4:23 - loss: 130.5078 - logits_profile_predictions_loss: 43.6077 - logcount_predictions_loss: 86.9001 21/393 [>.............................] - ETA: 4:23 - loss: 126.3985 - logits_profile_predictions_loss: 43.5605 - logcount_predictions_loss: 82.8380 22/393 [>.............................] - ETA: 4:22 - loss: 122.5688 - logits_profile_predictions_loss: 43.4314 - logcount_predictions_loss: 79.1375 23/393 [>.............................] - ETA: 4:21 - loss: 119.3288 - logits_profile_predictions_loss: 43.5518 - logcount_predictions_loss: 75.7770 24/393 [>.............................] - ETA: 4:20 - loss: 116.2718 - logits_profile_predictions_loss: 43.5823 - logcount_predictions_loss: 72.6894 25/393 [>.............................] - ETA: 4:20 - loss: 113.2465 - logits_profile_predictions_loss: 43.4086 - logcount_predictions_loss: 69.8378 26/393 [>.............................] - ETA: 4:19 - loss: 110.6237 - logits_profile_predictions_loss: 43.4045 - logcount_predictions_loss: 67.2192 27/393 [=>............................] - ETA: 4:18 - loss: 108.2044 - logits_profile_predictions_loss: 43.4139 - logcount_predictions_loss: 64.7906 28/393 [=>............................] - ETA: 4:17 - loss: 106.1467 - logits_profile_predictions_loss: 43.6000 - logcount_predictions_loss: 62.5467 29/393 [=>............................] - ETA: 4:17 - loss: 103.9546 - logits_profile_predictions_loss: 43.5149 - logcount_predictions_loss: 60.4397 30/393 [=>............................] - ETA: 4:16 - loss: 102.4119 - logits_profile_predictions_loss: 43.9109 - logcount_predictions_loss: 58.5010 31/393 [=>............................] - ETA: 4:15 - loss: 100.6012 - logits_profile_predictions_loss: 43.9290 - logcount_predictions_loss: 56.6722 32/393 [=>............................] - ETA: 4:14 - loss: 98.8579 - logits_profile_predictions_loss: 43.9082 - logcount_predictions_loss: 54.9498  33/393 [=>............................] - ETA: 4:14 - loss: 97.2442 - logits_profile_predictions_loss: 43.9098 - logcount_predictions_loss: 53.3344 34/393 [=>............................] - ETA: 4:13 - loss: 96.0230 - logits_profile_predictions_loss: 44.1974 - logcount_predictions_loss: 51.8256 35/393 [=>............................] - ETA: 4:12 - loss: 94.5543 - logits_profile_predictions_loss: 44.1641 - logcount_predictions_loss: 50.3902 36/393 [=>............................] - ETA: 4:12 - loss: 93.0640 - logits_profile_predictions_loss: 44.0342 - logcount_predictions_loss: 49.0298 37/393 [=>............................] - ETA: 4:11 - loss: 91.8397 - logits_profile_predictions_loss: 44.0883 - logcount_predictions_loss: 47.7514 38/393 [=>............................] - ETA: 4:10 - loss: 90.5738 - logits_profile_predictions_loss: 44.0393 - logcount_predictions_loss: 46.5345 39/393 [=>............................] - ETA: 4:10 - loss: 89.2291 - logits_profile_predictions_loss: 43.8596 - logcount_predictions_loss: 45.3695 40/393 [==>...........................] - ETA: 4:09 - loss: 88.2878 - logits_profile_predictions_loss: 44.0051 - logcount_predictions_loss: 44.2826 41/393 [==>...........................] - ETA: 4:08 - loss: 87.2166 - logits_profile_predictions_loss: 43.9767 - logcount_predictions_loss: 43.2399 42/393 [==>...........................] - ETA: 4:07 - loss: 86.4109 - logits_profile_predictions_loss: 44.1504 - logcount_predictions_loss: 42.2605 43/393 [==>...........................] - ETA: 4:07 - loss: 85.3151 - logits_profile_predictions_loss: 44.0068 - logcount_predictions_loss: 41.3083 44/393 [==>...........................] - ETA: 4:06 - loss: 84.3692 - logits_profile_predictions_loss: 43.9651 - logcount_predictions_loss: 40.4041 45/393 [==>...........................] - ETA: 4:05 - loss: 83.4574 - logits_profile_predictions_loss: 43.9154 - logcount_predictions_loss: 39.5420 46/393 [==>...........................] - ETA: 4:05 - loss: 82.5940 - logits_profile_predictions_loss: 43.8773 - logcount_predictions_loss: 38.7168 47/393 [==>...........................] - ETA: 4:04 - loss: 81.8802 - logits_profile_predictions_loss: 43.9493 - logcount_predictions_loss: 37.9308 48/393 [==>...........................] - ETA: 4:03 - loss: 81.0630 - logits_profile_predictions_loss: 43.8903 - logcount_predictions_loss: 37.1727 49/393 [==>...........................] - ETA: 4:03 - loss: 80.3963 - logits_profile_predictions_loss: 43.9470 - logcount_predictions_loss: 36.4494 50/393 [==>...........................] - ETA: 4:02 - loss: 79.6518 - logits_profile_predictions_loss: 43.9038 - logcount_predictions_loss: 35.7480 51/393 [==>...........................] - ETA: 4:01 - loss: 78.9831 - logits_profile_predictions_loss: 43.9037 - logcount_predictions_loss: 35.0794 52/393 [==>...........................] - ETA: 4:00 - loss: 78.1793 - logits_profile_predictions_loss: 43.7517 - logcount_predictions_loss: 34.4276 53/393 [===>..........................] - ETA: 4:00 - loss: 77.5865 - logits_profile_predictions_loss: 43.7769 - logcount_predictions_loss: 33.8095 54/393 [===>..........................] - ETA: 3:59 - loss: 76.9838 - logits_profile_predictions_loss: 43.7708 - logcount_predictions_loss: 33.2130 55/393 [===>..........................] - ETA: 3:58 - loss: 76.3714 - logits_profile_predictions_loss: 43.7348 - logcount_predictions_loss: 32.6366 56/393 [===>..........................] - ETA: 3:58 - loss: 75.9424 - logits_profile_predictions_loss: 43.8535 - logcount_predictions_loss: 32.0889 57/393 [===>..........................] - ETA: 3:57 - loss: 75.3314 - logits_profile_predictions_loss: 43.7816 - logcount_predictions_loss: 31.5497 58/393 [===>..........................] - ETA: 3:56 - loss: 74.7399 - logits_profile_predictions_loss: 43.7098 - logcount_predictions_loss: 31.0301 59/393 [===>..........................] - ETA: 3:56 - loss: 74.1908 - logits_profile_predictions_loss: 43.6650 - logcount_predictions_loss: 30.5258 60/393 [===>..........................] - ETA: 3:55 - loss: 73.6701 - logits_profile_predictions_loss: 43.6279 - logcount_predictions_loss: 30.0422 61/393 [===>..........................] - ETA: 3:54 - loss: 73.1927 - logits_profile_predictions_loss: 43.6178 - logcount_predictions_loss: 29.5749 62/393 [===>..........................] - ETA: 3:53 - loss: 72.7009 - logits_profile_predictions_loss: 43.5796 - logcount_predictions_loss: 29.1213 63/393 [===>..........................] - ETA: 3:53 - loss: 72.4000 - logits_profile_predictions_loss: 43.7087 - logcount_predictions_loss: 28.6913 64/393 [===>..........................] - ETA: 3:52 - loss: 72.0047 - logits_profile_predictions_loss: 43.7344 - logcount_predictions_loss: 28.2703 65/393 [===>..........................] - ETA: 3:51 - loss: 71.5163 - logits_profile_predictions_loss: 43.6586 - logcount_predictions_loss: 27.8578 66/393 [====>.........................] - ETA: 3:51 - loss: 71.1028 - logits_profile_predictions_loss: 43.6439 - logcount_predictions_loss: 27.4589 67/393 [====>.........................] - ETA: 3:50 - loss: 70.6564 - logits_profile_predictions_loss: 43.5862 - logcount_predictions_loss: 27.0702 68/393 [====>.........................] - ETA: 3:49 - loss: 70.1966 - logits_profile_predictions_loss: 43.5033 - logcount_predictions_loss: 26.6933 69/393 [====>.........................] - ETA: 3:49 - loss: 69.7437 - logits_profile_predictions_loss: 43.4195 - logcount_predictions_loss: 26.3243 70/393 [====>.........................] - ETA: 3:48 - loss: 69.2553 - logits_profile_predictions_loss: 43.2908 - logcount_predictions_loss: 25.9645 71/393 [====>.........................] - ETA: 3:47 - loss: 68.8753 - logits_profile_predictions_loss: 43.2551 - logcount_predictions_loss: 25.6202 72/393 [====>.........................] - ETA: 3:47 - loss: 68.4485 - logits_profile_predictions_loss: 43.1675 - logcount_predictions_loss: 25.2810 73/393 [====>.........................] - ETA: 3:46 - loss: 68.1817 - logits_profile_predictions_loss: 43.2237 - logcount_predictions_loss: 24.9581 74/393 [====>.........................] - ETA: 3:45 - loss: 67.7835 - logits_profile_predictions_loss: 43.1454 - logcount_predictions_loss: 24.6380 75/393 [====>.........................] - ETA: 3:44 - loss: 67.4817 - logits_profile_predictions_loss: 43.1523 - logcount_predictions_loss: 24.3294 76/393 [====>.........................] - ETA: 3:44 - loss: 67.2306 - logits_profile_predictions_loss: 43.1992 - logcount_predictions_loss: 24.0314 77/393 [====>.........................] - ETA: 3:43 - loss: 66.8578 - logits_profile_predictions_loss: 43.1227 - logcount_predictions_loss: 23.7351 78/393 [====>.........................] - ETA: 3:42 - loss: 66.6640 - logits_profile_predictions_loss: 43.2079 - logcount_predictions_loss: 23.4561 79/393 [=====>........................] - ETA: 3:42 - loss: 66.4908 - logits_profile_predictions_loss: 43.3062 - logcount_predictions_loss: 23.1846 80/393 [=====>........................] - ETA: 3:41 - loss: 66.1153 - logits_profile_predictions_loss: 43.2072 - logcount_predictions_loss: 22.9081 81/393 [=====>........................] - ETA: 3:40 - loss: 65.8090 - logits_profile_predictions_loss: 43.1654 - logcount_predictions_loss: 22.6436 82/393 [=====>........................] - ETA: 3:40 - loss: 65.4927 - logits_profile_predictions_loss: 43.1070 - logcount_predictions_loss: 22.3857 83/393 [=====>........................] - ETA: 3:39 - loss: 65.2558 - logits_profile_predictions_loss: 43.1188 - logcount_predictions_loss: 22.1370 84/393 [=====>........................] - ETA: 3:38 - loss: 65.0283 - logits_profile_predictions_loss: 43.1354 - logcount_predictions_loss: 21.8930 85/393 [=====>........................] - ETA: 3:37 - loss: 64.7544 - logits_profile_predictions_loss: 43.1022 - logcount_predictions_loss: 21.6522 86/393 [=====>........................] - ETA: 3:37 - loss: 64.5103 - logits_profile_predictions_loss: 43.0918 - logcount_predictions_loss: 21.4185 87/393 [=====>........................] - ETA: 3:36 - loss: 64.1698 - logits_profile_predictions_loss: 42.9852 - logcount_predictions_loss: 21.1846 88/393 [=====>........................] - ETA: 3:35 - loss: 63.8793 - logits_profile_predictions_loss: 42.9209 - logcount_predictions_loss: 20.9584 89/393 [=====>........................] - ETA: 3:35 - loss: 63.6874 - logits_profile_predictions_loss: 42.9448 - logcount_predictions_loss: 20.7426 90/393 [=====>........................] - ETA: 3:34 - loss: 63.5821 - logits_profile_predictions_loss: 43.0476 - logcount_predictions_loss: 20.5346 91/393 [=====>........................] - ETA: 3:33 - loss: 63.3089 - logits_profile_predictions_loss: 42.9864 - logcount_predictions_loss: 20.3225 92/393 [======>.......................] - ETA: 3:33 - loss: 63.0697 - logits_profile_predictions_loss: 42.9510 - logcount_predictions_loss: 20.1187 93/393 [======>.......................] - ETA: 3:32 - loss: 62.8508 - logits_profile_predictions_loss: 42.9325 - logcount_predictions_loss: 19.9182 94/393 [======>.......................] - ETA: 3:31 - loss: 62.6520 - logits_profile_predictions_loss: 42.9284 - logcount_predictions_loss: 19.7236 95/393 [======>.......................] - ETA: 3:31 - loss: 62.4903 - logits_profile_predictions_loss: 42.9568 - logcount_predictions_loss: 19.5336 96/393 [======>.......................] - ETA: 3:30 - loss: 62.2729 - logits_profile_predictions_loss: 42.9283 - logcount_predictions_loss: 19.3446 97/393 [======>.......................] - ETA: 3:29 - loss: 62.0206 - logits_profile_predictions_loss: 42.8624 - logcount_predictions_loss: 19.1583 98/393 [======>.......................] - ETA: 3:28 - loss: 61.8249 - logits_profile_predictions_loss: 42.8471 - logcount_predictions_loss: 18.9778 99/393 [======>.......................] - ETA: 3:28 - loss: 61.6405 - logits_profile_predictions_loss: 42.8379 - logcount_predictions_loss: 18.8026 100/393 [======>.......................] - ETA: 3:27 - loss: 61.4652 - logits_profile_predictions_loss: 42.8352 - logcount_predictions_loss: 18.6300 101/393 [======>.......................] - ETA: 3:26 - loss: 61.2657 - logits_profile_predictions_loss: 42.8060 - 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2s - loss: 47.6779 - logits_profile_predictions_loss: 42.1816 - logcount_predictions_loss: 5.4963 390/393 [============================>.] - ETA: 2s - loss: 47.6557 - logits_profile_predictions_loss: 42.1719 - logcount_predictions_loss: 5.4838 391/393 [============================>.] - ETA: 1s - loss: 47.6473 - logits_profile_predictions_loss: 42.1766 - logcount_predictions_loss: 5.4708 392/393 [============================>.] - ETA: 0s - loss: 47.6337 - logits_profile_predictions_loss: 42.1759 - logcount_predictions_loss: 5.4579 393/393 [==============================] - ETA: 0s - loss: 47.6050 - logits_profile_predictions_loss: 42.1594 - logcount_predictions_loss: 5.4456 Epoch 1: val_loss improved from inf to 45.92768, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.endocardial.In/fold_2/models/chrombpnet.h5  393/393 [==============================] - 302s 754ms/step - loss: 47.6050 - logits_profile_predictions_loss: 42.1594 - logcount_predictions_loss: 5.4456 - val_loss: 45.9277 - val_logits_profile_predictions_loss: 45.4070 - val_logcount_predictions_loss: 0.5207 Epoch 2/50 1/393 [..............................] - ETA: 4:48 - loss: 49.6906 - logits_profile_predictions_loss: 49.0130 - logcount_predictions_loss: 0.6776 2/393 [..............................] - ETA: 4:37 - loss: 45.7537 - logits_profile_predictions_loss: 45.1420 - logcount_predictions_loss: 0.6116 3/393 [..............................] - ETA: 4:36 - loss: 45.1413 - logits_profile_predictions_loss: 44.5362 - logcount_predictions_loss: 0.6051 4/393 [..............................] - ETA: 4:35 - loss: 44.4710 - logits_profile_predictions_loss: 43.8782 - logcount_predictions_loss: 0.5928 5/393 [..............................] - ETA: 4:35 - loss: 44.1325 - logits_profile_predictions_loss: 43.5455 - logcount_predictions_loss: 0.5870 6/393 [..............................] - ETA: 4:34 - loss: 43.4343 - 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[>.............................] - ETA: 4:24 - loss: 43.1727 - logits_profile_predictions_loss: 42.6221 - logcount_predictions_loss: 0.5506 21/393 [>.............................] - ETA: 4:24 - loss: 43.1985 - logits_profile_predictions_loss: 42.6482 - logcount_predictions_loss: 0.5503 22/393 [>.............................] - ETA: 4:23 - loss: 43.2326 - logits_profile_predictions_loss: 42.6842 - logcount_predictions_loss: 0.5484 23/393 [>.............................] - ETA: 4:22 - loss: 43.1332 - logits_profile_predictions_loss: 42.5838 - logcount_predictions_loss: 0.5495 24/393 [>.............................] - ETA: 4:22 - loss: 43.4716 - logits_profile_predictions_loss: 42.9178 - logcount_predictions_loss: 0.5538 25/393 [>.............................] - ETA: 4:21 - loss: 43.6147 - logits_profile_predictions_loss: 43.0599 - logcount_predictions_loss: 0.5548 26/393 [>.............................] - ETA: 4:20 - loss: 43.6364 - logits_profile_predictions_loss: 43.0809 - 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ETA: 4:10 - loss: 43.2821 - logits_profile_predictions_loss: 42.7455 - logcount_predictions_loss: 0.5366 41/393 [==>...........................] - ETA: 4:10 - loss: 43.2427 - logits_profile_predictions_loss: 42.7083 - logcount_predictions_loss: 0.5343 42/393 [==>...........................] - ETA: 4:09 - loss: 43.0843 - logits_profile_predictions_loss: 42.5497 - logcount_predictions_loss: 0.5346 43/393 [==>...........................] - ETA: 4:08 - loss: 42.9715 - logits_profile_predictions_loss: 42.4401 - logcount_predictions_loss: 0.5313 44/393 [==>...........................] - ETA: 4:08 - loss: 42.9069 - logits_profile_predictions_loss: 42.3794 - logcount_predictions_loss: 0.5275 45/393 [==>...........................] - ETA: 4:07 - loss: 42.9422 - logits_profile_predictions_loss: 42.4145 - logcount_predictions_loss: 0.5277 46/393 [==>...........................] - ETA: 4:06 - loss: 42.8918 - logits_profile_predictions_loss: 42.3662 - logcount_predictions_loss: 0.5256 47/393 [==>...........................] - ETA: 4:06 - loss: 42.7832 - logits_profile_predictions_loss: 42.2606 - logcount_predictions_loss: 0.5227 48/393 [==>...........................] - ETA: 4:05 - loss: 42.6535 - logits_profile_predictions_loss: 42.1343 - logcount_predictions_loss: 0.5192 49/393 [==>...........................] - ETA: 4:04 - loss: 42.6972 - logits_profile_predictions_loss: 42.1798 - logcount_predictions_loss: 0.5174 50/393 [==>...........................] - ETA: 4:04 - loss: 42.6910 - logits_profile_predictions_loss: 42.1736 - logcount_predictions_loss: 0.5175 51/393 [==>...........................] - ETA: 4:03 - loss: 42.7008 - logits_profile_predictions_loss: 42.1850 - logcount_predictions_loss: 0.5159 52/393 [==>...........................] - ETA: 4:02 - loss: 42.7437 - logits_profile_predictions_loss: 42.2298 - logcount_predictions_loss: 0.5139 53/393 [===>..........................] - ETA: 4:01 - loss: 42.7860 - logits_profile_predictions_loss: 42.2738 - logcount_predictions_loss: 0.5121 54/393 [===>..........................] - ETA: 4:01 - loss: 42.6940 - logits_profile_predictions_loss: 42.1824 - logcount_predictions_loss: 0.5116 55/393 [===>..........................] - ETA: 4:00 - loss: 42.6436 - logits_profile_predictions_loss: 42.1340 - logcount_predictions_loss: 0.5096 56/393 [===>..........................] - ETA: 3:59 - loss: 42.6143 - logits_profile_predictions_loss: 42.1075 - logcount_predictions_loss: 0.5069 57/393 [===>..........................] - ETA: 3:59 - loss: 42.6297 - logits_profile_predictions_loss: 42.1244 - logcount_predictions_loss: 0.5053 58/393 [===>..........................] - ETA: 3:58 - loss: 42.5677 - logits_profile_predictions_loss: 42.0634 - logcount_predictions_loss: 0.5044 59/393 [===>..........................] - ETA: 3:57 - loss: 42.4663 - logits_profile_predictions_loss: 41.9642 - logcount_predictions_loss: 0.5022 60/393 [===>..........................] - ETA: 3:57 - loss: 42.4057 - logits_profile_predictions_loss: 41.9051 - logcount_predictions_loss: 0.5006 61/393 [===>..........................] - ETA: 3:56 - loss: 42.4518 - logits_profile_predictions_loss: 41.9525 - logcount_predictions_loss: 0.4993 62/393 [===>..........................] - ETA: 3:55 - loss: 42.5005 - logits_profile_predictions_loss: 42.0015 - logcount_predictions_loss: 0.4990 63/393 [===>..........................] - ETA: 3:54 - loss: 42.4326 - logits_profile_predictions_loss: 41.9345 - logcount_predictions_loss: 0.4980 64/393 [===>..........................] - ETA: 3:54 - loss: 42.4330 - logits_profile_predictions_loss: 41.9351 - logcount_predictions_loss: 0.4978 65/393 [===>..........................] - ETA: 3:53 - loss: 42.3965 - logits_profile_predictions_loss: 41.8994 - logcount_predictions_loss: 0.4971 66/393 [====>.........................] - ETA: 3:52 - loss: 42.3639 - logits_profile_predictions_loss: 41.8679 - logcount_predictions_loss: 0.4960 67/393 [====>.........................] - 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[====>.........................] - ETA: 3:47 - loss: 42.3147 - logits_profile_predictions_loss: 41.8257 - logcount_predictions_loss: 0.4890 75/393 [====>.........................] - ETA: 3:46 - loss: 42.3247 - logits_profile_predictions_loss: 41.8359 - logcount_predictions_loss: 0.4888 76/393 [====>.........................] - ETA: 3:45 - loss: 42.3688 - logits_profile_predictions_loss: 41.8804 - logcount_predictions_loss: 0.4884 77/393 [====>.........................] - ETA: 3:45 - loss: 42.3145 - logits_profile_predictions_loss: 41.8277 - logcount_predictions_loss: 0.4868 78/393 [====>.........................] - ETA: 3:44 - loss: 42.3380 - logits_profile_predictions_loss: 41.8511 - logcount_predictions_loss: 0.4869 79/393 [=====>........................] - ETA: 3:43 - loss: 42.3038 - logits_profile_predictions_loss: 41.8175 - logcount_predictions_loss: 0.4863 80/393 [=====>........................] - ETA: 3:42 - loss: 42.2923 - logits_profile_predictions_loss: 41.8061 - logcount_predictions_loss: 0.4862 81/393 [=====>........................] - ETA: 3:42 - loss: 42.3345 - logits_profile_predictions_loss: 41.8479 - logcount_predictions_loss: 0.4866 82/393 [=====>........................] - ETA: 3:41 - loss: 42.2970 - logits_profile_predictions_loss: 41.8115 - logcount_predictions_loss: 0.4855 83/393 [=====>........................] - ETA: 3:40 - loss: 42.3152 - logits_profile_predictions_loss: 41.8302 - logcount_predictions_loss: 0.4850 84/393 [=====>........................] - ETA: 3:40 - loss: 42.2361 - logits_profile_predictions_loss: 41.7511 - logcount_predictions_loss: 0.4850 85/393 [=====>........................] - ETA: 3:39 - loss: 42.2089 - logits_profile_predictions_loss: 41.7265 - logcount_predictions_loss: 0.4823 86/393 [=====>........................] - ETA: 3:38 - loss: 42.2201 - logits_profile_predictions_loss: 41.7381 - logcount_predictions_loss: 0.4821 87/393 [=====>........................] - ETA: 3:38 - loss: 42.1681 - logits_profile_predictions_loss: 41.6873 - logcount_predictions_loss: 0.4807 88/393 [=====>........................] - ETA: 3:37 - loss: 42.1604 - logits_profile_predictions_loss: 41.6800 - logcount_predictions_loss: 0.4805 89/393 [=====>........................] - ETA: 3:36 - loss: 42.1903 - logits_profile_predictions_loss: 41.7084 - logcount_predictions_loss: 0.4819 90/393 [=====>........................] - ETA: 3:35 - loss: 42.1966 - logits_profile_predictions_loss: 41.7135 - logcount_predictions_loss: 0.4830 91/393 [=====>........................] - ETA: 3:35 - loss: 42.2151 - logits_profile_predictions_loss: 41.7324 - logcount_predictions_loss: 0.4827 92/393 [======>.......................] - ETA: 3:34 - loss: 42.1675 - logits_profile_predictions_loss: 41.6866 - logcount_predictions_loss: 0.4809 93/393 [======>.......................] - ETA: 3:33 - loss: 42.2605 - logits_profile_predictions_loss: 41.7794 - logcount_predictions_loss: 0.4810 94/393 [======>.......................] - 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[======>.......................] - ETA: 3:28 - loss: 42.1563 - logits_profile_predictions_loss: 41.6738 - logcount_predictions_loss: 0.4825 102/393 [======>.......................] - ETA: 3:27 - loss: 42.1787 - logits_profile_predictions_loss: 41.6976 - logcount_predictions_loss: 0.4811 103/393 [======>.......................] - ETA: 3:26 - loss: 42.1513 - logits_profile_predictions_loss: 41.6698 - logcount_predictions_loss: 0.4814 104/393 [======>.......................] - ETA: 3:26 - loss: 42.1072 - logits_profile_predictions_loss: 41.6242 - logcount_predictions_loss: 0.4830 105/393 [=======>......................] - ETA: 3:25 - loss: 42.1633 - logits_profile_predictions_loss: 41.6809 - logcount_predictions_loss: 0.4824 106/393 [=======>......................] - ETA: 3:24 - loss: 42.1632 - logits_profile_predictions_loss: 41.6809 - logcount_predictions_loss: 0.4824 107/393 [=======>......................] - ETA: 3:24 - loss: 42.1772 - logits_profile_predictions_loss: 41.6945 - logcount_predictions_loss: 0.4827 108/393 [=======>......................] - ETA: 3:23 - loss: 42.2252 - logits_profile_predictions_loss: 41.7418 - logcount_predictions_loss: 0.4835 109/393 [=======>......................] - ETA: 3:22 - loss: 42.2011 - logits_profile_predictions_loss: 41.7184 - logcount_predictions_loss: 0.4827 110/393 [=======>......................] - ETA: 3:21 - loss: 42.2052 - logits_profile_predictions_loss: 41.7238 - logcount_predictions_loss: 0.4814 111/393 [=======>......................] - ETA: 3:21 - loss: 42.2193 - logits_profile_predictions_loss: 41.7371 - logcount_predictions_loss: 0.4822 112/393 [=======>......................] - ETA: 3:20 - loss: 42.1702 - logits_profile_predictions_loss: 41.6886 - logcount_predictions_loss: 0.4816 113/393 [=======>......................] - ETA: 3:19 - loss: 42.1150 - logits_profile_predictions_loss: 41.6339 - logcount_predictions_loss: 0.4811 114/393 [=======>......................] - ETA: 3:19 - loss: 42.1417 - 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[==============================] - 293s 746ms/step - loss: 42.0037 - logits_profile_predictions_loss: 41.5710 - logcount_predictions_loss: 0.4327 - val_loss: 45.4236 - val_logits_profile_predictions_loss: 45.0854 - val_logcount_predictions_loss: 0.3382 Epoch 3/50 1/393 [..............................] - ETA: 4:42 - loss: 44.1513 - logits_profile_predictions_loss: 43.7502 - logcount_predictions_loss: 0.4011 2/393 [..............................] - ETA: 4:37 - loss: 42.5717 - logits_profile_predictions_loss: 42.2218 - logcount_predictions_loss: 0.3500 3/393 [..............................] - ETA: 4:36 - loss: 39.9667 - logits_profile_predictions_loss: 39.6586 - logcount_predictions_loss: 0.3082 4/393 [..............................] - ETA: 4:36 - loss: 40.3221 - logits_profile_predictions_loss: 40.0129 - logcount_predictions_loss: 0.3092 5/393 [..............................] - ETA: 4:35 - loss: 40.2722 - logits_profile_predictions_loss: 39.9513 - logcount_predictions_loss: 0.3209 6/393 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- ETA: 47s - loss: 41.6284 - logits_profile_predictions_loss: 41.2529 - logcount_predictions_loss: 0.3754 328/393 [========================>.....] - ETA: 46s - loss: 41.6286 - logits_profile_predictions_loss: 41.2533 - logcount_predictions_loss: 0.3753 329/393 [========================>.....] - ETA: 46s - loss: 41.6377 - logits_profile_predictions_loss: 41.2626 - logcount_predictions_loss: 0.3751 330/393 [========================>.....] - ETA: 45s - loss: 41.6444 - logits_profile_predictions_loss: 41.2695 - logcount_predictions_loss: 0.3750 331/393 [========================>.....] - ETA: 44s - loss: 41.6518 - logits_profile_predictions_loss: 41.2767 - logcount_predictions_loss: 0.3751 332/393 [========================>.....] - ETA: 43s - loss: 41.6566 - logits_profile_predictions_loss: 41.2817 - logcount_predictions_loss: 0.3749 333/393 [========================>.....] - ETA: 43s - loss: 41.6787 - logits_profile_predictions_loss: 41.3040 - logcount_predictions_loss: 0.3748 334/393 [========================>.....] - ETA: 42s - loss: 41.6904 - logits_profile_predictions_loss: 41.3160 - logcount_predictions_loss: 0.3745 335/393 [========================>.....] - ETA: 41s - loss: 41.6857 - logits_profile_predictions_loss: 41.3115 - logcount_predictions_loss: 0.3743 336/393 [========================>.....] - ETA: 40s - loss: 41.6889 - logits_profile_predictions_loss: 41.3148 - logcount_predictions_loss: 0.3741 337/393 [========================>.....] - ETA: 40s - loss: 41.7107 - logits_profile_predictions_loss: 41.3363 - logcount_predictions_loss: 0.3744 338/393 [========================>.....] - ETA: 39s - loss: 41.7064 - logits_profile_predictions_loss: 41.3321 - logcount_predictions_loss: 0.3743 339/393 [========================>.....] - ETA: 38s - loss: 41.6870 - logits_profile_predictions_loss: 41.3126 - logcount_predictions_loss: 0.3744 340/393 [========================>.....] - ETA: 38s - loss: 41.6945 - logits_profile_predictions_loss: 41.3197 - logcount_predictions_loss: 0.3749 341/393 [=========================>....] - ETA: 37s - loss: 41.6912 - logits_profile_predictions_loss: 41.3162 - logcount_predictions_loss: 0.3750 342/393 [=========================>....] - ETA: 36s - loss: 41.6792 - logits_profile_predictions_loss: 41.3043 - logcount_predictions_loss: 0.3750 343/393 [=========================>....] - ETA: 35s - loss: 41.6785 - logits_profile_predictions_loss: 41.3037 - logcount_predictions_loss: 0.3748 344/393 [=========================>....] - ETA: 35s - loss: 41.6753 - logits_profile_predictions_loss: 41.3001 - logcount_predictions_loss: 0.3753 345/393 [=========================>....] - ETA: 34s - loss: 41.6750 - logits_profile_predictions_loss: 41.2995 - logcount_predictions_loss: 0.3754 346/393 [=========================>....] - ETA: 33s - loss: 41.6608 - logits_profile_predictions_loss: 41.2855 - logcount_predictions_loss: 0.3753 347/393 [=========================>....] - ETA: 33s - loss: 41.6588 - 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- ETA: 28s - loss: 41.6580 - logits_profile_predictions_loss: 41.2825 - logcount_predictions_loss: 0.3755 355/393 [==========================>...] - ETA: 27s - loss: 41.6637 - logits_profile_predictions_loss: 41.2886 - logcount_predictions_loss: 0.3751 356/393 [==========================>...] - ETA: 26s - loss: 41.6546 - logits_profile_predictions_loss: 41.2796 - logcount_predictions_loss: 0.3750 357/393 [==========================>...] - ETA: 25s - loss: 41.6618 - logits_profile_predictions_loss: 41.2868 - logcount_predictions_loss: 0.3750 358/393 [==========================>...] - ETA: 25s - loss: 41.6864 - logits_profile_predictions_loss: 41.3112 - logcount_predictions_loss: 0.3752 359/393 [==========================>...] - ETA: 24s - loss: 41.6847 - logits_profile_predictions_loss: 41.3093 - logcount_predictions_loss: 0.3755 360/393 [==========================>...] - ETA: 23s - loss: 41.6689 - logits_profile_predictions_loss: 41.2936 - logcount_predictions_loss: 0.3753 361/393 [==========================>...] - ETA: 23s - loss: 41.6668 - logits_profile_predictions_loss: 41.2915 - logcount_predictions_loss: 0.3753 362/393 [==========================>...] - ETA: 22s - loss: 41.6727 - logits_profile_predictions_loss: 41.2975 - logcount_predictions_loss: 0.3752 363/393 [==========================>...] - ETA: 21s - loss: 41.6916 - logits_profile_predictions_loss: 41.3165 - logcount_predictions_loss: 0.3751 364/393 [==========================>...] - ETA: 20s - loss: 41.6817 - logits_profile_predictions_loss: 41.3067 - logcount_predictions_loss: 0.3751 365/393 [==========================>...] - ETA: 20s - loss: 41.6821 - logits_profile_predictions_loss: 41.3075 - logcount_predictions_loss: 0.3746 366/393 [==========================>...] - ETA: 19s - loss: 41.6695 - logits_profile_predictions_loss: 41.2950 - logcount_predictions_loss: 0.3744 367/393 [===========================>..] - ETA: 18s - loss: 41.6877 - logits_profile_predictions_loss: 41.3132 - logcount_predictions_loss: 0.3745 368/393 [===========================>..] - ETA: 17s - loss: 41.6767 - logits_profile_predictions_loss: 41.3020 - logcount_predictions_loss: 0.3747 369/393 [===========================>..] - ETA: 17s - loss: 41.6914 - logits_profile_predictions_loss: 41.3168 - logcount_predictions_loss: 0.3746 370/393 [===========================>..] - ETA: 16s - loss: 41.6840 - logits_profile_predictions_loss: 41.3091 - logcount_predictions_loss: 0.3749 371/393 [===========================>..] - ETA: 15s - loss: 41.6931 - logits_profile_predictions_loss: 41.3186 - logcount_predictions_loss: 0.3745 372/393 [===========================>..] - ETA: 15s - loss: 41.6706 - logits_profile_predictions_loss: 41.2962 - logcount_predictions_loss: 0.3744 373/393 [===========================>..] - ETA: 14s - loss: 41.6538 - logits_profile_predictions_loss: 41.2797 - logcount_predictions_loss: 0.3741 374/393 [===========================>..] - ETA: 13s - loss: 41.6655 - logits_profile_predictions_loss: 41.2915 - logcount_predictions_loss: 0.3741 375/393 [===========================>..] - ETA: 12s - loss: 41.6607 - logits_profile_predictions_loss: 41.2867 - logcount_predictions_loss: 0.3740 376/393 [===========================>..] - ETA: 12s - loss: 41.6625 - logits_profile_predictions_loss: 41.2887 - logcount_predictions_loss: 0.3737 377/393 [===========================>..] - ETA: 11s - loss: 41.6636 - logits_profile_predictions_loss: 41.2899 - logcount_predictions_loss: 0.3738 378/393 [===========================>..] - ETA: 10s - loss: 41.6722 - logits_profile_predictions_loss: 41.2985 - logcount_predictions_loss: 0.3738 379/393 [===========================>..] - ETA: 10s - loss: 41.6868 - logits_profile_predictions_loss: 41.3131 - logcount_predictions_loss: 0.3736 380/393 [============================>.] - ETA: 9s - loss: 41.6694 - logits_profile_predictions_loss: 41.2961 - logcount_predictions_loss: 0.3734  381/393 [============================>.] - ETA: 8s - loss: 41.6635 - logits_profile_predictions_loss: 41.2905 - logcount_predictions_loss: 0.3730 382/393 [============================>.] - ETA: 7s - loss: 41.6788 - logits_profile_predictions_loss: 41.3056 - logcount_predictions_loss: 0.3732 383/393 [============================>.] - ETA: 7s - loss: 41.6892 - logits_profile_predictions_loss: 41.3159 - logcount_predictions_loss: 0.3733 384/393 [============================>.] - ETA: 6s - loss: 41.6893 - logits_profile_predictions_loss: 41.3162 - logcount_predictions_loss: 0.3732 385/393 [============================>.] - ETA: 5s - loss: 41.6910 - logits_profile_predictions_loss: 41.3180 - logcount_predictions_loss: 0.3730 386/393 [============================>.] - ETA: 5s - loss: 41.6889 - logits_profile_predictions_loss: 41.3158 - logcount_predictions_loss: 0.3731 387/393 [============================>.] - ETA: 4s - loss: 41.7127 - logits_profile_predictions_loss: 41.3387 - logcount_predictions_loss: 0.3740 388/393 [============================>.] - ETA: 3s - loss: 41.7076 - logits_profile_predictions_loss: 41.3333 - logcount_predictions_loss: 0.3743 389/393 [============================>.] - ETA: 2s - loss: 41.6918 - logits_profile_predictions_loss: 41.3173 - logcount_predictions_loss: 0.3745 390/393 [============================>.] - ETA: 2s - loss: 41.6860 - logits_profile_predictions_loss: 41.3114 - logcount_predictions_loss: 0.3747 391/393 [============================>.] - ETA: 1s - loss: 41.6834 - logits_profile_predictions_loss: 41.3084 - logcount_predictions_loss: 0.3750 392/393 [============================>.] - ETA: 0s - loss: 41.6785 - logits_profile_predictions_loss: 41.3032 - logcount_predictions_loss: 0.3754 393/393 [==============================] - ETA: 0s - loss: 41.6734 - logits_profile_predictions_loss: 41.2978 - logcount_predictions_loss: 0.3756 Epoch 3: val_loss did not improve from 45.42356  393/393 [==============================] - 293s 746ms/step - loss: 41.6734 - logits_profile_predictions_loss: 41.2978 - logcount_predictions_loss: 0.3756 - val_loss: 45.5401 - val_logits_profile_predictions_loss: 45.1435 - val_logcount_predictions_loss: 0.3966 Epoch 4/50 1/393 [..............................] - ETA: 4:49 - loss: 40.8686 - logits_profile_predictions_loss: 40.4409 - logcount_predictions_loss: 0.4276 2/393 [..............................] - ETA: 4:39 - loss: 39.2265 - logits_profile_predictions_loss: 38.8224 - logcount_predictions_loss: 0.4041 3/393 [..............................] - ETA: 4:37 - loss: 36.1146 - logits_profile_predictions_loss: 35.7240 - logcount_predictions_loss: 0.3906 4/393 [..............................] - ETA: 4:36 - loss: 37.5215 - logits_profile_predictions_loss: 37.1413 - logcount_predictions_loss: 0.3801 5/393 [..............................] - ETA: 4:35 - loss: 38.0123 - logits_profile_predictions_loss: 37.6148 - logcount_predictions_loss: 0.3975 6/393 [..............................] - ETA: 4:35 - loss: 37.6959 - logits_profile_predictions_loss: 37.2869 - logcount_predictions_loss: 0.4090 7/393 [..............................] - ETA: 4:34 - loss: 37.6456 - logits_profile_predictions_loss: 37.2307 - logcount_predictions_loss: 0.4149 8/393 [..............................] - ETA: 4:33 - loss: 38.5761 - logits_profile_predictions_loss: 38.1571 - logcount_predictions_loss: 0.4189 9/393 [..............................] - ETA: 4:32 - loss: 38.1793 - logits_profile_predictions_loss: 37.7708 - logcount_predictions_loss: 0.4085 10/393 [..............................] - ETA: 4:32 - loss: 38.1317 - logits_profile_predictions_loss: 37.7274 - logcount_predictions_loss: 0.4043 11/393 [..............................] - ETA: 4:31 - loss: 37.8961 - logits_profile_predictions_loss: 37.5025 - logcount_predictions_loss: 0.3936 12/393 [..............................] - ETA: 4:30 - loss: 38.3420 - logits_profile_predictions_loss: 37.9508 - logcount_predictions_loss: 0.3912 13/393 [..............................] - ETA: 4:30 - loss: 38.5027 - logits_profile_predictions_loss: 38.1190 - logcount_predictions_loss: 0.3837 14/393 [>.............................] - ETA: 4:29 - loss: 38.4589 - logits_profile_predictions_loss: 38.0765 - logcount_predictions_loss: 0.3824 15/393 [>.............................] - ETA: 4:28 - loss: 38.3617 - logits_profile_predictions_loss: 37.9826 - logcount_predictions_loss: 0.3790 16/393 [>.............................] - ETA: 4:28 - loss: 38.3244 - logits_profile_predictions_loss: 37.9445 - logcount_predictions_loss: 0.3799 17/393 [>.............................] - ETA: 4:27 - loss: 38.3899 - logits_profile_predictions_loss: 38.0124 - logcount_predictions_loss: 0.3775 18/393 [>.............................] - ETA: 4:26 - loss: 38.8664 - logits_profile_predictions_loss: 38.4856 - logcount_predictions_loss: 0.3808 19/393 [>.............................] - ETA: 4:25 - loss: 38.8605 - logits_profile_predictions_loss: 38.4826 - logcount_predictions_loss: 0.3779 20/393 [>.............................] - ETA: 4:25 - loss: 39.2901 - logits_profile_predictions_loss: 38.9120 - logcount_predictions_loss: 0.3781 21/393 [>.............................] - ETA: 4:24 - loss: 39.2675 - logits_profile_predictions_loss: 38.8859 - logcount_predictions_loss: 0.3816 22/393 [>.............................] - ETA: 4:23 - loss: 39.4748 - logits_profile_predictions_loss: 39.0910 - logcount_predictions_loss: 0.3838 23/393 [>.............................] - ETA: 4:23 - loss: 39.5997 - logits_profile_predictions_loss: 39.2172 - logcount_predictions_loss: 0.3825 24/393 [>.............................] - ETA: 4:22 - loss: 40.0257 - logits_profile_predictions_loss: 39.6408 - logcount_predictions_loss: 0.3849 25/393 [>.............................] - ETA: 4:21 - loss: 39.9975 - logits_profile_predictions_loss: 39.6138 - logcount_predictions_loss: 0.3837 26/393 [>.............................] - ETA: 4:21 - loss: 39.9470 - logits_profile_predictions_loss: 39.5661 - logcount_predictions_loss: 0.3809 27/393 [=>............................] - ETA: 4:20 - loss: 39.8735 - logits_profile_predictions_loss: 39.4962 - logcount_predictions_loss: 0.3773 28/393 [=>............................] - ETA: 4:19 - loss: 39.8384 - logits_profile_predictions_loss: 39.4617 - logcount_predictions_loss: 0.3767 29/393 [=>............................] - ETA: 4:18 - loss: 39.7569 - logits_profile_predictions_loss: 39.3818 - logcount_predictions_loss: 0.3751 30/393 [=>............................] - ETA: 4:18 - loss: 39.6590 - logits_profile_predictions_loss: 39.2864 - logcount_predictions_loss: 0.3726 31/393 [=>............................] - ETA: 4:17 - loss: 39.7983 - logits_profile_predictions_loss: 39.4280 - logcount_predictions_loss: 0.3703 32/393 [=>............................] - ETA: 4:16 - loss: 39.8877 - logits_profile_predictions_loss: 39.5172 - logcount_predictions_loss: 0.3705 33/393 [=>............................] - ETA: 4:16 - loss: 39.9669 - logits_profile_predictions_loss: 39.5942 - logcount_predictions_loss: 0.3726 34/393 [=>............................] - ETA: 4:15 - loss: 39.9753 - logits_profile_predictions_loss: 39.6040 - logcount_predictions_loss: 0.3713 35/393 [=>............................] - ETA: 4:14 - loss: 39.8982 - logits_profile_predictions_loss: 39.5296 - logcount_predictions_loss: 0.3686 36/393 [=>............................] - ETA: 4:14 - loss: 39.8850 - logits_profile_predictions_loss: 39.5180 - logcount_predictions_loss: 0.3670 37/393 [=>............................] - ETA: 4:13 - loss: 40.0458 - logits_profile_predictions_loss: 39.6766 - logcount_predictions_loss: 0.3692 38/393 [=>............................] - ETA: 4:12 - loss: 40.2017 - logits_profile_predictions_loss: 39.8318 - logcount_predictions_loss: 0.3698 39/393 [=>............................] - ETA: 4:12 - loss: 40.1581 - logits_profile_predictions_loss: 39.7892 - logcount_predictions_loss: 0.3690 40/393 [==>...........................] - ETA: 4:11 - loss: 40.2726 - logits_profile_predictions_loss: 39.9052 - logcount_predictions_loss: 0.3674 41/393 [==>...........................] - ETA: 4:10 - loss: 40.1732 - logits_profile_predictions_loss: 39.8076 - logcount_predictions_loss: 0.3657 42/393 [==>...........................] - ETA: 4:10 - loss: 40.1523 - logits_profile_predictions_loss: 39.7873 - logcount_predictions_loss: 0.3650 43/393 [==>...........................] - ETA: 4:09 - loss: 40.1966 - logits_profile_predictions_loss: 39.8355 - logcount_predictions_loss: 0.3611 44/393 [==>...........................] - ETA: 4:08 - loss: 40.1620 - logits_profile_predictions_loss: 39.8004 - logcount_predictions_loss: 0.3616 45/393 [==>...........................] - ETA: 4:08 - loss: 40.1878 - logits_profile_predictions_loss: 39.8278 - logcount_predictions_loss: 0.3600 46/393 [==>...........................] - ETA: 4:07 - loss: 40.2044 - logits_profile_predictions_loss: 39.8451 - logcount_predictions_loss: 0.3594 47/393 [==>...........................] - ETA: 4:06 - loss: 40.4649 - logits_profile_predictions_loss: 40.1057 - logcount_predictions_loss: 0.3592 48/393 [==>...........................] - ETA: 4:05 - loss: 40.5026 - logits_profile_predictions_loss: 40.1411 - logcount_predictions_loss: 0.3616 49/393 [==>...........................] - ETA: 4:05 - loss: 40.6091 - logits_profile_predictions_loss: 40.2424 - logcount_predictions_loss: 0.3668 50/393 [==>...........................] - ETA: 4:04 - loss: 40.5356 - logits_profile_predictions_loss: 40.1678 - logcount_predictions_loss: 0.3677 51/393 [==>...........................] - ETA: 4:03 - loss: 40.6725 - logits_profile_predictions_loss: 40.3022 - logcount_predictions_loss: 0.3703 52/393 [==>...........................] - ETA: 4:03 - loss: 40.6849 - logits_profile_predictions_loss: 40.3171 - logcount_predictions_loss: 0.3678 53/393 [===>..........................] - ETA: 4:02 - loss: 40.8301 - logits_profile_predictions_loss: 40.4614 - logcount_predictions_loss: 0.3687 54/393 [===>..........................] - ETA: 4:01 - loss: 40.8722 - logits_profile_predictions_loss: 40.5038 - logcount_predictions_loss: 0.3684 55/393 [===>..........................] - ETA: 4:01 - loss: 40.7733 - logits_profile_predictions_loss: 40.4052 - logcount_predictions_loss: 0.3681 56/393 [===>..........................] - ETA: 4:00 - loss: 40.7937 - logits_profile_predictions_loss: 40.4240 - logcount_predictions_loss: 0.3697 57/393 [===>..........................] - ETA: 3:59 - loss: 40.7121 - logits_profile_predictions_loss: 40.3425 - logcount_predictions_loss: 0.3696 58/393 [===>..........................] - ETA: 3:59 - loss: 40.7624 - logits_profile_predictions_loss: 40.3884 - logcount_predictions_loss: 0.3740 59/393 [===>..........................] - ETA: 3:58 - loss: 40.8138 - logits_profile_predictions_loss: 40.4370 - logcount_predictions_loss: 0.3768 60/393 [===>..........................] - ETA: 3:57 - loss: 40.8850 - logits_profile_predictions_loss: 40.5065 - logcount_predictions_loss: 0.3785 61/393 [===>..........................] - ETA: 3:57 - loss: 40.9893 - logits_profile_predictions_loss: 40.6086 - logcount_predictions_loss: 0.3807 62/393 [===>..........................] - ETA: 3:56 - loss: 41.0644 - logits_profile_predictions_loss: 40.6841 - logcount_predictions_loss: 0.3804 63/393 [===>..........................] - ETA: 3:55 - loss: 40.9494 - logits_profile_predictions_loss: 40.5675 - logcount_predictions_loss: 0.3819 64/393 [===>..........................] - ETA: 3:54 - loss: 41.0077 - logits_profile_predictions_loss: 40.6223 - logcount_predictions_loss: 0.3854 65/393 [===>..........................] - ETA: 3:54 - loss: 40.8460 - logits_profile_predictions_loss: 40.4537 - logcount_predictions_loss: 0.3923 66/393 [====>.........................] - ETA: 3:53 - loss: 41.0074 - logits_profile_predictions_loss: 40.6130 - logcount_predictions_loss: 0.3944 67/393 [====>.........................] - ETA: 3:52 - loss: 41.0290 - logits_profile_predictions_loss: 40.6325 - logcount_predictions_loss: 0.3965 68/393 [====>.........................] - ETA: 3:52 - loss: 41.0464 - logits_profile_predictions_loss: 40.6498 - logcount_predictions_loss: 0.3965 69/393 [====>.........................] - ETA: 3:51 - loss: 41.0116 - logits_profile_predictions_loss: 40.6171 - logcount_predictions_loss: 0.3945 70/393 [====>.........................] - ETA: 3:50 - loss: 41.1245 - logits_profile_predictions_loss: 40.7297 - logcount_predictions_loss: 0.3948 71/393 [====>.........................] - ETA: 3:50 - loss: 41.2125 - logits_profile_predictions_loss: 40.8164 - logcount_predictions_loss: 0.3961 72/393 [====>.........................] - ETA: 3:49 - loss: 41.2640 - logits_profile_predictions_loss: 40.8678 - logcount_predictions_loss: 0.3962 73/393 [====>.........................] - ETA: 3:48 - loss: 41.2344 - logits_profile_predictions_loss: 40.8398 - logcount_predictions_loss: 0.3945 74/393 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- ETA: 12s - loss: 41.1953 - logits_profile_predictions_loss: 40.8420 - logcount_predictions_loss: 0.3533 376/393 [===========================>..] - ETA: 12s - loss: 41.2009 - logits_profile_predictions_loss: 40.8479 - logcount_predictions_loss: 0.3530 377/393 [===========================>..] - ETA: 11s - loss: 41.2040 - logits_profile_predictions_loss: 40.8509 - logcount_predictions_loss: 0.3531 378/393 [===========================>..] - ETA: 10s - loss: 41.2039 - logits_profile_predictions_loss: 40.8510 - logcount_predictions_loss: 0.3529 379/393 [===========================>..] - ETA: 10s - loss: 41.2037 - logits_profile_predictions_loss: 40.8508 - logcount_predictions_loss: 0.3529 380/393 [============================>.] - ETA: 9s - loss: 41.2041 - logits_profile_predictions_loss: 40.8514 - logcount_predictions_loss: 0.3527  381/393 [============================>.] - ETA: 8s - loss: 41.2053 - logits_profile_predictions_loss: 40.8527 - logcount_predictions_loss: 0.3526 382/393 [============================>.] - ETA: 7s - loss: 41.2156 - logits_profile_predictions_loss: 40.8632 - logcount_predictions_loss: 0.3524 383/393 [============================>.] - ETA: 7s - loss: 41.2104 - logits_profile_predictions_loss: 40.8577 - logcount_predictions_loss: 0.3527 384/393 [============================>.] - ETA: 6s - loss: 41.2041 - logits_profile_predictions_loss: 40.8516 - logcount_predictions_loss: 0.3525 385/393 [============================>.] - ETA: 5s - loss: 41.1981 - logits_profile_predictions_loss: 40.8456 - logcount_predictions_loss: 0.3525 386/393 [============================>.] - ETA: 5s - loss: 41.1865 - logits_profile_predictions_loss: 40.8341 - logcount_predictions_loss: 0.3523 387/393 [============================>.] - ETA: 4s - loss: 41.1852 - logits_profile_predictions_loss: 40.8329 - logcount_predictions_loss: 0.3522 388/393 [============================>.] - ETA: 3s - loss: 41.1853 - logits_profile_predictions_loss: 40.8332 - logcount_predictions_loss: 0.3521 389/393 [============================>.] - ETA: 2s - loss: 41.1926 - logits_profile_predictions_loss: 40.8404 - logcount_predictions_loss: 0.3522 390/393 [============================>.] - ETA: 2s - loss: 41.2026 - logits_profile_predictions_loss: 40.8506 - logcount_predictions_loss: 0.3520 391/393 [============================>.] - ETA: 1s - loss: 41.1963 - logits_profile_predictions_loss: 40.8445 - logcount_predictions_loss: 0.3518 392/393 [============================>.] - ETA: 0s - loss: 41.2154 - logits_profile_predictions_loss: 40.8636 - logcount_predictions_loss: 0.3518 393/393 [==============================] - ETA: 0s - loss: 41.2146 - logits_profile_predictions_loss: 40.8628 - logcount_predictions_loss: 0.3518 Epoch 4: val_loss improved from 45.42356 to 45.16830, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.endocardial.In/fold_2/models/chrombpnet.h5  393/393 [==============================] - 294s 748ms/step - loss: 41.2146 - logits_profile_predictions_loss: 40.8628 - logcount_predictions_loss: 0.3518 - val_loss: 45.1683 - val_logits_profile_predictions_loss: 44.8699 - val_logcount_predictions_loss: 0.2984 Epoch 5/50 1/393 [..............................] - ETA: 4:42 - loss: 39.3406 - logits_profile_predictions_loss: 39.0350 - logcount_predictions_loss: 0.3056 2/393 [..............................] - ETA: 4:37 - loss: 42.7982 - logits_profile_predictions_loss: 42.5225 - logcount_predictions_loss: 0.2757 3/393 [..............................] - ETA: 4:37 - loss: 43.9555 - logits_profile_predictions_loss: 43.6462 - logcount_predictions_loss: 0.3094 4/393 [..............................] - ETA: 4:36 - loss: 43.1887 - logits_profile_predictions_loss: 42.8742 - logcount_predictions_loss: 0.3145 5/393 [..............................] - ETA: 4:35 - loss: 44.9000 - logits_profile_predictions_loss: 44.5503 - logcount_predictions_loss: 0.3497 6/393 [..............................] - ETA: 4:35 - loss: 44.1552 - logits_profile_predictions_loss: 43.8175 - logcount_predictions_loss: 0.3376 7/393 [..............................] - ETA: 4:34 - loss: 43.6899 - logits_profile_predictions_loss: 43.3614 - logcount_predictions_loss: 0.3285 8/393 [..............................] - ETA: 4:33 - loss: 43.2701 - logits_profile_predictions_loss: 42.9191 - logcount_predictions_loss: 0.3510 9/393 [..............................] - ETA: 4:33 - loss: 43.7478 - logits_profile_predictions_loss: 43.3950 - logcount_predictions_loss: 0.3527 10/393 [..............................] - ETA: 4:32 - loss: 43.2308 - logits_profile_predictions_loss: 42.8765 - logcount_predictions_loss: 0.3543 11/393 [..............................] - ETA: 4:31 - loss: 43.7592 - logits_profile_predictions_loss: 43.4067 - logcount_predictions_loss: 0.3524 12/393 [..............................] - ETA: 4:31 - loss: 43.8890 - logits_profile_predictions_loss: 43.5409 - 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[=>............................] - ETA: 4:16 - loss: 43.3551 - logits_profile_predictions_loss: 42.9932 - logcount_predictions_loss: 0.3619 34/393 [=>............................] - ETA: 4:15 - loss: 43.3098 - logits_profile_predictions_loss: 42.9485 - logcount_predictions_loss: 0.3613 35/393 [=>............................] - ETA: 4:15 - loss: 43.1868 - logits_profile_predictions_loss: 42.8272 - logcount_predictions_loss: 0.3597 36/393 [=>............................] - ETA: 4:14 - loss: 43.0138 - logits_profile_predictions_loss: 42.6532 - logcount_predictions_loss: 0.3606 37/393 [=>............................] - ETA: 4:13 - loss: 42.8329 - logits_profile_predictions_loss: 42.4719 - logcount_predictions_loss: 0.3610 38/393 [=>............................] - ETA: 4:13 - loss: 42.8391 - logits_profile_predictions_loss: 42.4753 - logcount_predictions_loss: 0.3638 39/393 [=>............................] - ETA: 4:12 - loss: 42.8715 - logits_profile_predictions_loss: 42.5059 - 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[===>..........................] - ETA: 3:57 - loss: 42.5179 - logits_profile_predictions_loss: 42.1453 - logcount_predictions_loss: 0.3726 61/393 [===>..........................] - ETA: 3:57 - loss: 42.5272 - logits_profile_predictions_loss: 42.1540 - logcount_predictions_loss: 0.3732 62/393 [===>..........................] - ETA: 3:56 - loss: 42.4854 - logits_profile_predictions_loss: 42.1134 - logcount_predictions_loss: 0.3720 63/393 [===>..........................] - ETA: 3:55 - loss: 42.4998 - logits_profile_predictions_loss: 42.1261 - logcount_predictions_loss: 0.3737 64/393 [===>..........................] - ETA: 3:54 - loss: 42.4200 - logits_profile_predictions_loss: 42.0469 - logcount_predictions_loss: 0.3731 65/393 [===>..........................] - ETA: 3:54 - loss: 42.4874 - logits_profile_predictions_loss: 42.1125 - logcount_predictions_loss: 0.3749 66/393 [====>.........................] - ETA: 3:53 - loss: 42.4740 - logits_profile_predictions_loss: 42.0981 - 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[=====>........................] - ETA: 3:38 - loss: 42.0485 - logits_profile_predictions_loss: 41.6751 - logcount_predictions_loss: 0.3734 88/393 [=====>........................] - ETA: 3:38 - loss: 42.0531 - logits_profile_predictions_loss: 41.6798 - logcount_predictions_loss: 0.3734 89/393 [=====>........................] - ETA: 3:37 - loss: 42.0269 - logits_profile_predictions_loss: 41.6541 - logcount_predictions_loss: 0.3729 90/393 [=====>........................] - ETA: 3:36 - loss: 42.0446 - logits_profile_predictions_loss: 41.6725 - logcount_predictions_loss: 0.3721 91/393 [=====>........................] - ETA: 3:36 - loss: 42.0333 - logits_profile_predictions_loss: 41.6603 - logcount_predictions_loss: 0.3729 92/393 [======>.......................] - ETA: 3:35 - loss: 42.1090 - logits_profile_predictions_loss: 41.7352 - logcount_predictions_loss: 0.3738 93/393 [======>.......................] - ETA: 3:34 - loss: 42.1276 - logits_profile_predictions_loss: 41.7551 - 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[======================>.......] - ETA: 1:01 - loss: 40.9828 - logits_profile_predictions_loss: 40.6372 - logcount_predictions_loss: 0.3456 308/393 [======================>.......] - ETA: 1:01 - loss: 40.9774 - logits_profile_predictions_loss: 40.6317 - logcount_predictions_loss: 0.3458 309/393 [======================>.......] - ETA: 1:00 - loss: 41.0058 - logits_profile_predictions_loss: 40.6597 - logcount_predictions_loss: 0.3461 310/393 [======================>.......] - ETA: 59s - loss: 40.9883 - logits_profile_predictions_loss: 40.6417 - logcount_predictions_loss: 0.3466  311/393 [======================>.......] - ETA: 59s - loss: 40.9926 - logits_profile_predictions_loss: 40.6464 - logcount_predictions_loss: 0.3462 312/393 [======================>.......] - ETA: 58s - loss: 40.9920 - logits_profile_predictions_loss: 40.6461 - logcount_predictions_loss: 0.3459 313/393 [======================>.......] - ETA: 57s - loss: 40.9810 - logits_profile_predictions_loss: 40.6352 - 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- ETA: 47s - loss: 40.9940 - logits_profile_predictions_loss: 40.6481 - logcount_predictions_loss: 0.3459 328/393 [========================>.....] - ETA: 46s - loss: 40.9922 - logits_profile_predictions_loss: 40.6461 - logcount_predictions_loss: 0.3462 329/393 [========================>.....] - ETA: 46s - loss: 41.0087 - logits_profile_predictions_loss: 40.6625 - logcount_predictions_loss: 0.3462 330/393 [========================>.....] - ETA: 45s - loss: 41.0280 - logits_profile_predictions_loss: 40.6818 - logcount_predictions_loss: 0.3463 331/393 [========================>.....] - ETA: 44s - loss: 41.0172 - logits_profile_predictions_loss: 40.6711 - logcount_predictions_loss: 0.3461 332/393 [========================>.....] - ETA: 43s - loss: 41.0138 - logits_profile_predictions_loss: 40.6679 - logcount_predictions_loss: 0.3460 333/393 [========================>.....] - ETA: 43s - loss: 41.0108 - logits_profile_predictions_loss: 40.6646 - logcount_predictions_loss: 0.3462 334/393 [========================>.....] - ETA: 42s - loss: 41.0025 - logits_profile_predictions_loss: 40.6566 - logcount_predictions_loss: 0.3459 335/393 [========================>.....] - ETA: 41s - loss: 40.9774 - logits_profile_predictions_loss: 40.6320 - logcount_predictions_loss: 0.3455 336/393 [========================>.....] - ETA: 41s - loss: 40.9658 - logits_profile_predictions_loss: 40.6202 - logcount_predictions_loss: 0.3456 337/393 [========================>.....] - ETA: 40s - loss: 40.9677 - logits_profile_predictions_loss: 40.6221 - logcount_predictions_loss: 0.3456 338/393 [========================>.....] - ETA: 39s - loss: 40.9649 - logits_profile_predictions_loss: 40.6192 - logcount_predictions_loss: 0.3457 339/393 [========================>.....] - ETA: 38s - loss: 40.9804 - logits_profile_predictions_loss: 40.6348 - logcount_predictions_loss: 0.3456 340/393 [========================>.....] - ETA: 38s - loss: 41.0033 - logits_profile_predictions_loss: 40.6578 - 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- ETA: 28s - loss: 41.0141 - logits_profile_predictions_loss: 40.6695 - logcount_predictions_loss: 0.3447 355/393 [==========================>...] - ETA: 27s - loss: 41.0331 - logits_profile_predictions_loss: 40.6886 - logcount_predictions_loss: 0.3444 356/393 [==========================>...] - ETA: 26s - loss: 41.0331 - logits_profile_predictions_loss: 40.6886 - logcount_predictions_loss: 0.3444 357/393 [==========================>...] - ETA: 25s - loss: 41.0405 - logits_profile_predictions_loss: 40.6963 - logcount_predictions_loss: 0.3443 358/393 [==========================>...] - ETA: 25s - loss: 41.0143 - logits_profile_predictions_loss: 40.6700 - logcount_predictions_loss: 0.3443 359/393 [==========================>...] - ETA: 24s - loss: 40.9957 - logits_profile_predictions_loss: 40.6516 - logcount_predictions_loss: 0.3441 360/393 [==========================>...] - ETA: 23s - loss: 40.9979 - logits_profile_predictions_loss: 40.6539 - logcount_predictions_loss: 0.3440 361/393 [==========================>...] - ETA: 23s - loss: 41.0024 - logits_profile_predictions_loss: 40.6584 - logcount_predictions_loss: 0.3441 362/393 [==========================>...] - ETA: 22s - loss: 40.9886 - logits_profile_predictions_loss: 40.6448 - logcount_predictions_loss: 0.3439 363/393 [==========================>...] - ETA: 21s - loss: 40.9816 - logits_profile_predictions_loss: 40.6378 - logcount_predictions_loss: 0.3438 364/393 [==========================>...] - ETA: 20s - loss: 40.9901 - logits_profile_predictions_loss: 40.6463 - logcount_predictions_loss: 0.3439 365/393 [==========================>...] - ETA: 20s - loss: 40.9832 - logits_profile_predictions_loss: 40.6395 - logcount_predictions_loss: 0.3438 366/393 [==========================>...] - ETA: 19s - loss: 41.0037 - logits_profile_predictions_loss: 40.6600 - logcount_predictions_loss: 0.3437 367/393 [===========================>..] - ETA: 18s - loss: 40.9952 - logits_profile_predictions_loss: 40.6515 - 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logits_profile_predictions_loss: 40.6880 - logcount_predictions_loss: 0.3443 375/393 [===========================>..] - ETA: 12s - loss: 41.0314 - logits_profile_predictions_loss: 40.6874 - logcount_predictions_loss: 0.3441 376/393 [===========================>..] - ETA: 12s - loss: 41.0473 - logits_profile_predictions_loss: 40.7031 - logcount_predictions_loss: 0.3442 377/393 [===========================>..] - ETA: 11s - loss: 41.0341 - logits_profile_predictions_loss: 40.6899 - logcount_predictions_loss: 0.3442 378/393 [===========================>..] - ETA: 10s - loss: 41.0518 - logits_profile_predictions_loss: 40.7073 - logcount_predictions_loss: 0.3445 379/393 [===========================>..] - ETA: 10s - loss: 41.0446 - logits_profile_predictions_loss: 40.7002 - logcount_predictions_loss: 0.3445 380/393 [============================>.] - ETA: 9s - loss: 41.0445 - logits_profile_predictions_loss: 40.7000 - logcount_predictions_loss: 0.3446  381/393 [============================>.] - ETA: 8s - loss: 41.0431 - logits_profile_predictions_loss: 40.6985 - logcount_predictions_loss: 0.3447 382/393 [============================>.] - ETA: 7s - loss: 41.0524 - logits_profile_predictions_loss: 40.7080 - logcount_predictions_loss: 0.3444 383/393 [============================>.] - ETA: 7s - loss: 41.0425 - logits_profile_predictions_loss: 40.6982 - logcount_predictions_loss: 0.3443 384/393 [============================>.] - ETA: 6s - loss: 41.0319 - logits_profile_predictions_loss: 40.6879 - logcount_predictions_loss: 0.3440 385/393 [============================>.] - ETA: 5s - loss: 41.0236 - logits_profile_predictions_loss: 40.6797 - logcount_predictions_loss: 0.3440 386/393 [============================>.] - ETA: 5s - loss: 41.0209 - logits_profile_predictions_loss: 40.6768 - logcount_predictions_loss: 0.3441 387/393 [============================>.] - ETA: 4s - loss: 41.0271 - logits_profile_predictions_loss: 40.6830 - logcount_predictions_loss: 0.3441 388/393 [============================>.] - ETA: 3s - loss: 41.0286 - logits_profile_predictions_loss: 40.6846 - logcount_predictions_loss: 0.3440 389/393 [============================>.] - ETA: 2s - loss: 41.0305 - logits_profile_predictions_loss: 40.6865 - logcount_predictions_loss: 0.3440 390/393 [============================>.] - ETA: 2s - loss: 41.0395 - logits_profile_predictions_loss: 40.6955 - logcount_predictions_loss: 0.3440 391/393 [============================>.] - ETA: 1s - loss: 41.0412 - logits_profile_predictions_loss: 40.6976 - logcount_predictions_loss: 0.3436 392/393 [============================>.] - ETA: 0s - loss: 41.0228 - logits_profile_predictions_loss: 40.6790 - logcount_predictions_loss: 0.3439 393/393 [==============================] - ETA: 0s - loss: 41.0223 - logits_profile_predictions_loss: 40.6785 - logcount_predictions_loss: 0.3439 Epoch 5: val_loss did not improve from 45.16830  393/393 [==============================] - 294s 747ms/step - loss: 41.0223 - logits_profile_predictions_loss: 40.6785 - logcount_predictions_loss: 0.3439 - val_loss: 45.5215 - val_logits_profile_predictions_loss: 45.0983 - val_logcount_predictions_loss: 0.4232 Epoch 6/50 1/393 [..............................] - ETA: 4:47 - loss: 44.4502 - logits_profile_predictions_loss: 44.0373 - logcount_predictions_loss: 0.4129 2/393 [..............................] - ETA: 4:38 - loss: 38.3674 - logits_profile_predictions_loss: 38.0074 - logcount_predictions_loss: 0.3601 3/393 [..............................] - ETA: 4:37 - loss: 36.5439 - logits_profile_predictions_loss: 36.1964 - logcount_predictions_loss: 0.3476 4/393 [..............................] - ETA: 4:36 - loss: 35.3182 - logits_profile_predictions_loss: 35.0013 - logcount_predictions_loss: 0.3169 5/393 [..............................] - ETA: 4:35 - loss: 36.2105 - logits_profile_predictions_loss: 35.9008 - logcount_predictions_loss: 0.3097 6/393 [..............................] - ETA: 4:35 - loss: 37.9753 - logits_profile_predictions_loss: 37.6469 - logcount_predictions_loss: 0.3284 7/393 [..............................] - ETA: 4:34 - loss: 38.7429 - logits_profile_predictions_loss: 38.4263 - logcount_predictions_loss: 0.3166 8/393 [..............................] - ETA: 4:33 - loss: 38.1937 - logits_profile_predictions_loss: 37.8753 - logcount_predictions_loss: 0.3183 9/393 [..............................] - ETA: 4:32 - loss: 38.4104 - logits_profile_predictions_loss: 38.0917 - logcount_predictions_loss: 0.3187 10/393 [..............................] - ETA: 4:32 - loss: 38.7309 - logits_profile_predictions_loss: 38.4094 - logcount_predictions_loss: 0.3215 11/393 [..............................] - ETA: 4:31 - loss: 39.0392 - logits_profile_predictions_loss: 38.7123 - logcount_predictions_loss: 0.3269 12/393 [..............................] - ETA: 4:30 - loss: 39.2958 - logits_profile_predictions_loss: 38.9794 - logcount_predictions_loss: 0.3164 13/393 [..............................] - ETA: 4:30 - loss: 39.7216 - logits_profile_predictions_loss: 39.4011 - logcount_predictions_loss: 0.3206 14/393 [>.............................] - ETA: 4:29 - loss: 39.7302 - logits_profile_predictions_loss: 39.4154 - logcount_predictions_loss: 0.3148 15/393 [>.............................] - ETA: 4:28 - loss: 39.6795 - logits_profile_predictions_loss: 39.3650 - logcount_predictions_loss: 0.3145 16/393 [>.............................] - ETA: 4:28 - loss: 39.8459 - logits_profile_predictions_loss: 39.5285 - logcount_predictions_loss: 0.3174 17/393 [>.............................] - ETA: 4:27 - loss: 39.7896 - logits_profile_predictions_loss: 39.4700 - logcount_predictions_loss: 0.3196 18/393 [>.............................] - ETA: 4:26 - loss: 39.6848 - logits_profile_predictions_loss: 39.3606 - logcount_predictions_loss: 0.3242 19/393 [>.............................] - ETA: 4:26 - loss: 40.3312 - logits_profile_predictions_loss: 39.9996 - logcount_predictions_loss: 0.3315 20/393 [>.............................] - ETA: 4:25 - loss: 40.2728 - logits_profile_predictions_loss: 39.9469 - logcount_predictions_loss: 0.3259 21/393 [>.............................] - ETA: 4:24 - loss: 40.1400 - logits_profile_predictions_loss: 39.8158 - logcount_predictions_loss: 0.3241 22/393 [>.............................] - ETA: 4:24 - loss: 40.0002 - logits_profile_predictions_loss: 39.6747 - logcount_predictions_loss: 0.3255 23/393 [>.............................] - ETA: 4:23 - loss: 39.9322 - logits_profile_predictions_loss: 39.6081 - logcount_predictions_loss: 0.3241 24/393 [>.............................] - ETA: 4:22 - loss: 39.9920 - logits_profile_predictions_loss: 39.6690 - logcount_predictions_loss: 0.3230 25/393 [>.............................] - ETA: 4:21 - loss: 40.2863 - logits_profile_predictions_loss: 39.9575 - logcount_predictions_loss: 0.3288 26/393 [>.............................] - ETA: 4:21 - loss: 40.3744 - logits_profile_predictions_loss: 40.0440 - logcount_predictions_loss: 0.3304 27/393 [=>............................] - ETA: 4:20 - loss: 40.3909 - logits_profile_predictions_loss: 40.0633 - logcount_predictions_loss: 0.3276 28/393 [=>............................] - ETA: 4:19 - loss: 40.5063 - logits_profile_predictions_loss: 40.1819 - logcount_predictions_loss: 0.3244 29/393 [=>............................] - ETA: 4:19 - loss: 40.5097 - logits_profile_predictions_loss: 40.1786 - logcount_predictions_loss: 0.3311 30/393 [=>............................] - ETA: 4:18 - loss: 40.7391 - logits_profile_predictions_loss: 40.4069 - logcount_predictions_loss: 0.3322 31/393 [=>............................] - ETA: 4:17 - loss: 40.7311 - logits_profile_predictions_loss: 40.3972 - logcount_predictions_loss: 0.3339 32/393 [=>............................] - ETA: 4:17 - loss: 40.8440 - logits_profile_predictions_loss: 40.5071 - logcount_predictions_loss: 0.3368 33/393 [=>............................] - ETA: 4:16 - loss: 40.7202 - logits_profile_predictions_loss: 40.3850 - logcount_predictions_loss: 0.3352 34/393 [=>............................] - ETA: 4:15 - loss: 40.7856 - logits_profile_predictions_loss: 40.4509 - logcount_predictions_loss: 0.3347 35/393 [=>............................] - ETA: 4:15 - loss: 40.6286 - logits_profile_predictions_loss: 40.2917 - logcount_predictions_loss: 0.3370 36/393 [=>............................] - ETA: 4:14 - loss: 40.6175 - logits_profile_predictions_loss: 40.2791 - logcount_predictions_loss: 0.3384 37/393 [=>............................] - ETA: 4:13 - loss: 40.7582 - logits_profile_predictions_loss: 40.4187 - logcount_predictions_loss: 0.3395 38/393 [=>............................] - ETA: 4:13 - loss: 40.8047 - logits_profile_predictions_loss: 40.4641 - logcount_predictions_loss: 0.3406 39/393 [=>............................] - ETA: 4:12 - loss: 40.7858 - logits_profile_predictions_loss: 40.4422 - logcount_predictions_loss: 0.3436 40/393 [==>...........................] - ETA: 4:11 - loss: 40.8956 - logits_profile_predictions_loss: 40.5490 - logcount_predictions_loss: 0.3466 41/393 [==>...........................] - ETA: 4:11 - loss: 40.9954 - logits_profile_predictions_loss: 40.6488 - logcount_predictions_loss: 0.3467 42/393 [==>...........................] - ETA: 4:10 - loss: 40.9822 - logits_profile_predictions_loss: 40.6365 - logcount_predictions_loss: 0.3457 43/393 [==>...........................] - ETA: 4:09 - loss: 40.9765 - logits_profile_predictions_loss: 40.6293 - logcount_predictions_loss: 0.3473 44/393 [==>...........................] - ETA: 4:09 - loss: 40.8964 - logits_profile_predictions_loss: 40.5461 - logcount_predictions_loss: 0.3502 45/393 [==>...........................] - ETA: 4:08 - loss: 40.8130 - logits_profile_predictions_loss: 40.4654 - logcount_predictions_loss: 0.3476 46/393 [==>...........................] - ETA: 4:08 - loss: 40.6776 - logits_profile_predictions_loss: 40.3300 - logcount_predictions_loss: 0.3476 47/393 [==>...........................] - ETA: 4:07 - loss: 40.4789 - logits_profile_predictions_loss: 40.1327 - logcount_predictions_loss: 0.3463 48/393 [==>...........................] - ETA: 4:06 - loss: 40.4410 - logits_profile_predictions_loss: 40.0906 - logcount_predictions_loss: 0.3503 49/393 [==>...........................] - ETA: 4:05 - loss: 40.3292 - logits_profile_predictions_loss: 39.9769 - logcount_predictions_loss: 0.3523 50/393 [==>...........................] - ETA: 4:05 - loss: 40.2728 - logits_profile_predictions_loss: 39.9199 - logcount_predictions_loss: 0.3529 51/393 [==>...........................] - ETA: 4:04 - loss: 40.2217 - logits_profile_predictions_loss: 39.8689 - logcount_predictions_loss: 0.3528 52/393 [==>...........................] - ETA: 4:04 - loss: 40.2164 - logits_profile_predictions_loss: 39.8637 - logcount_predictions_loss: 0.3528 53/393 [===>..........................] - ETA: 4:03 - loss: 40.2879 - logits_profile_predictions_loss: 39.9319 - logcount_predictions_loss: 0.3560 54/393 [===>..........................] - ETA: 4:02 - loss: 40.2025 - logits_profile_predictions_loss: 39.8455 - logcount_predictions_loss: 0.3570 55/393 [===>..........................] - ETA: 4:01 - loss: 40.1797 - logits_profile_predictions_loss: 39.8246 - logcount_predictions_loss: 0.3551 56/393 [===>..........................] - ETA: 4:01 - loss: 40.1674 - logits_profile_predictions_loss: 39.8126 - logcount_predictions_loss: 0.3548 57/393 [===>..........................] - ETA: 4:00 - loss: 40.2387 - logits_profile_predictions_loss: 39.8835 - logcount_predictions_loss: 0.3552 58/393 [===>..........................] - ETA: 3:59 - loss: 40.1977 - logits_profile_predictions_loss: 39.8423 - logcount_predictions_loss: 0.3555 59/393 [===>..........................] - ETA: 3:59 - loss: 40.1453 - logits_profile_predictions_loss: 39.7909 - logcount_predictions_loss: 0.3544 60/393 [===>..........................] - ETA: 3:58 - loss: 40.1173 - logits_profile_predictions_loss: 39.7626 - logcount_predictions_loss: 0.3547 61/393 [===>..........................] - ETA: 3:57 - loss: 40.1313 - logits_profile_predictions_loss: 39.7777 - logcount_predictions_loss: 0.3536 62/393 [===>..........................] - ETA: 3:57 - loss: 40.1422 - logits_profile_predictions_loss: 39.7892 - logcount_predictions_loss: 0.3530 63/393 [===>..........................] - ETA: 3:56 - loss: 40.1716 - logits_profile_predictions_loss: 39.8188 - logcount_predictions_loss: 0.3528 64/393 [===>..........................] - ETA: 3:55 - loss: 40.1936 - logits_profile_predictions_loss: 39.8404 - logcount_predictions_loss: 0.3532 65/393 [===>..........................] - ETA: 3:54 - loss: 40.2790 - logits_profile_predictions_loss: 39.9247 - logcount_predictions_loss: 0.3544 66/393 [====>.........................] - ETA: 3:54 - loss: 40.3295 - logits_profile_predictions_loss: 39.9756 - logcount_predictions_loss: 0.3538 67/393 [====>.........................] - ETA: 3:53 - loss: 40.3720 - logits_profile_predictions_loss: 40.0184 - logcount_predictions_loss: 0.3537 68/393 [====>.........................] - ETA: 3:52 - loss: 40.3973 - logits_profile_predictions_loss: 40.0444 - logcount_predictions_loss: 0.3529 69/393 [====>.........................] - ETA: 3:52 - loss: 40.4236 - logits_profile_predictions_loss: 40.0698 - logcount_predictions_loss: 0.3538 70/393 [====>.........................] - ETA: 3:51 - loss: 40.4735 - logits_profile_predictions_loss: 40.1200 - logcount_predictions_loss: 0.3535 71/393 [====>.........................] - ETA: 3:50 - loss: 40.4516 - logits_profile_predictions_loss: 40.0975 - logcount_predictions_loss: 0.3541 72/393 [====>.........................] - ETA: 3:49 - loss: 40.4930 - logits_profile_predictions_loss: 40.1375 - logcount_predictions_loss: 0.3555 73/393 [====>.........................] - ETA: 3:49 - loss: 40.4974 - logits_profile_predictions_loss: 40.1414 - logcount_predictions_loss: 0.3560 74/393 [====>.........................] - ETA: 3:48 - loss: 40.5187 - logits_profile_predictions_loss: 40.1624 - logcount_predictions_loss: 0.3563 75/393 [====>.........................] - ETA: 3:47 - loss: 40.5211 - logits_profile_predictions_loss: 40.1638 - logcount_predictions_loss: 0.3572 76/393 [====>.........................] - ETA: 3:47 - loss: 40.5721 - logits_profile_predictions_loss: 40.2148 - logcount_predictions_loss: 0.3573 77/393 [====>.........................] - ETA: 3:46 - loss: 40.6142 - logits_profile_predictions_loss: 40.2577 - logcount_predictions_loss: 0.3564 78/393 [====>.........................] - ETA: 3:45 - loss: 40.5815 - logits_profile_predictions_loss: 40.2246 - logcount_predictions_loss: 0.3569 79/393 [=====>........................] - ETA: 3:45 - loss: 40.5464 - logits_profile_predictions_loss: 40.1893 - logcount_predictions_loss: 0.3570 80/393 [=====>........................] - ETA: 3:44 - loss: 40.5566 - logits_profile_predictions_loss: 40.2002 - logcount_predictions_loss: 0.3564 81/393 [=====>........................] - ETA: 3:43 - loss: 40.5375 - logits_profile_predictions_loss: 40.1805 - logcount_predictions_loss: 0.3570 82/393 [=====>........................] - ETA: 3:43 - loss: 40.5184 - logits_profile_predictions_loss: 40.1623 - logcount_predictions_loss: 0.3561 83/393 [=====>........................] - ETA: 3:42 - loss: 40.5055 - logits_profile_predictions_loss: 40.1502 - logcount_predictions_loss: 0.3553 84/393 [=====>........................] - ETA: 3:41 - loss: 40.5463 - logits_profile_predictions_loss: 40.1924 - logcount_predictions_loss: 0.3539 85/393 [=====>........................] - ETA: 3:40 - loss: 40.5130 - logits_profile_predictions_loss: 40.1582 - logcount_predictions_loss: 0.3548 86/393 [=====>........................] - ETA: 3:40 - loss: 40.5217 - logits_profile_predictions_loss: 40.1678 - logcount_predictions_loss: 0.3539 87/393 [=====>........................] - ETA: 3:39 - loss: 40.5788 - logits_profile_predictions_loss: 40.2256 - logcount_predictions_loss: 0.3531 88/393 [=====>........................] - ETA: 3:38 - loss: 40.5437 - logits_profile_predictions_loss: 40.1914 - logcount_predictions_loss: 0.3524 89/393 [=====>........................] - ETA: 3:37 - loss: 40.5351 - logits_profile_predictions_loss: 40.1837 - logcount_predictions_loss: 0.3515 90/393 [=====>........................] - ETA: 3:37 - loss: 40.5664 - logits_profile_predictions_loss: 40.2158 - logcount_predictions_loss: 0.3506 91/393 [=====>........................] - ETA: 3:36 - loss: 40.5461 - logits_profile_predictions_loss: 40.1951 - logcount_predictions_loss: 0.3510 92/393 [======>.......................] - ETA: 3:35 - loss: 40.5215 - logits_profile_predictions_loss: 40.1718 - logcount_predictions_loss: 0.3497 93/393 [======>.......................] - ETA: 3:35 - loss: 40.5162 - logits_profile_predictions_loss: 40.1662 - logcount_predictions_loss: 0.3501 94/393 [======>.......................] - ETA: 3:34 - loss: 40.5051 - logits_profile_predictions_loss: 40.1564 - logcount_predictions_loss: 0.3487 95/393 [======>.......................] - ETA: 3:33 - loss: 40.5442 - logits_profile_predictions_loss: 40.1952 - logcount_predictions_loss: 0.3491 96/393 [======>.......................] - ETA: 3:33 - loss: 40.6605 - logits_profile_predictions_loss: 40.3118 - logcount_predictions_loss: 0.3487 97/393 [======>.......................] - ETA: 3:32 - loss: 40.6463 - logits_profile_predictions_loss: 40.2978 - logcount_predictions_loss: 0.3486 98/393 [======>.......................] - ETA: 3:31 - loss: 40.7125 - logits_profile_predictions_loss: 40.3632 - logcount_predictions_loss: 0.3493 99/393 [======>.......................] - ETA: 3:30 - loss: 40.6887 - logits_profile_predictions_loss: 40.3400 - logcount_predictions_loss: 0.3487 100/393 [======>.......................] - ETA: 3:30 - loss: 40.7005 - logits_profile_predictions_loss: 40.3516 - logcount_predictions_loss: 0.3490 101/393 [======>.......................] - ETA: 3:29 - loss: 40.6932 - logits_profile_predictions_loss: 40.3446 - logcount_predictions_loss: 0.3486 102/393 [======>.......................] - ETA: 3:28 - loss: 40.6162 - logits_profile_predictions_loss: 40.2683 - logcount_predictions_loss: 0.3479 103/393 [======>.......................] - ETA: 3:28 - loss: 40.6097 - logits_profile_predictions_loss: 40.2616 - logcount_predictions_loss: 0.3481 104/393 [======>.......................] - ETA: 3:27 - loss: 40.6643 - logits_profile_predictions_loss: 40.3171 - logcount_predictions_loss: 0.3473 105/393 [=======>......................] - ETA: 3:26 - loss: 40.6715 - logits_profile_predictions_loss: 40.3251 - logcount_predictions_loss: 0.3463 106/393 [=======>......................] - ETA: 3:25 - loss: 40.6320 - logits_profile_predictions_loss: 40.2860 - logcount_predictions_loss: 0.3460 107/393 [=======>......................] - ETA: 3:25 - loss: 40.6118 - logits_profile_predictions_loss: 40.2669 - logcount_predictions_loss: 0.3449 108/393 [=======>......................] - ETA: 3:24 - loss: 40.6028 - logits_profile_predictions_loss: 40.2584 - logcount_predictions_loss: 0.3444 109/393 [=======>......................] - ETA: 3:23 - loss: 40.5985 - logits_profile_predictions_loss: 40.2543 - logcount_predictions_loss: 0.3442 110/393 [=======>......................] - ETA: 3:23 - loss: 40.6218 - logits_profile_predictions_loss: 40.2773 - logcount_predictions_loss: 0.3445 111/393 [=======>......................] - ETA: 3:22 - loss: 40.6134 - logits_profile_predictions_loss: 40.2700 - logcount_predictions_loss: 0.3434 112/393 [=======>......................] - ETA: 3:21 - loss: 40.6261 - logits_profile_predictions_loss: 40.2840 - logcount_predictions_loss: 0.3421 113/393 [=======>......................] - ETA: 3:20 - loss: 40.6587 - logits_profile_predictions_loss: 40.3173 - logcount_predictions_loss: 0.3414 114/393 [=======>......................] - ETA: 3:20 - loss: 40.6723 - logits_profile_predictions_loss: 40.3314 - logcount_predictions_loss: 0.3409 115/393 [=======>......................] - ETA: 3:19 - loss: 40.6381 - logits_profile_predictions_loss: 40.2975 - logcount_predictions_loss: 0.3406 116/393 [=======>......................] - ETA: 3:18 - loss: 40.5752 - logits_profile_predictions_loss: 40.2352 - logcount_predictions_loss: 0.3400 117/393 [=======>......................] - ETA: 3:18 - loss: 40.5871 - logits_profile_predictions_loss: 40.2473 - logcount_predictions_loss: 0.3397 118/393 [========>.....................] - ETA: 3:17 - loss: 40.6019 - logits_profile_predictions_loss: 40.2632 - logcount_predictions_loss: 0.3387 119/393 [========>.....................] - ETA: 3:16 - loss: 40.6168 - logits_profile_predictions_loss: 40.2783 - logcount_predictions_loss: 0.3386 120/393 [========>.....................] - ETA: 3:15 - loss: 40.6162 - logits_profile_predictions_loss: 40.2770 - logcount_predictions_loss: 0.3392 121/393 [========>.....................] - ETA: 3:15 - loss: 40.6036 - logits_profile_predictions_loss: 40.2645 - logcount_predictions_loss: 0.3391 122/393 [========>.....................] - ETA: 3:14 - loss: 40.6455 - logits_profile_predictions_loss: 40.3064 - logcount_predictions_loss: 0.3391 123/393 [========>.....................] - ETA: 3:13 - loss: 40.6339 - logits_profile_predictions_loss: 40.2957 - logcount_predictions_loss: 0.3381 124/393 [========>.....................] - ETA: 3:13 - loss: 40.5857 - logits_profile_predictions_loss: 40.2480 - logcount_predictions_loss: 0.3377 125/393 [========>.....................] - ETA: 3:12 - loss: 40.5891 - logits_profile_predictions_loss: 40.2515 - logcount_predictions_loss: 0.3376 126/393 [========>.....................] - ETA: 3:11 - loss: 40.5742 - logits_profile_predictions_loss: 40.2371 - logcount_predictions_loss: 0.3372 127/393 [========>.....................] - ETA: 3:10 - loss: 40.6095 - logits_profile_predictions_loss: 40.2727 - logcount_predictions_loss: 0.3368 128/393 [========>.....................] - ETA: 3:10 - loss: 40.6359 - logits_profile_predictions_loss: 40.3001 - logcount_predictions_loss: 0.3359 129/393 [========>.....................] - ETA: 3:09 - loss: 40.6113 - logits_profile_predictions_loss: 40.2763 - logcount_predictions_loss: 0.3350 130/393 [========>.....................] - ETA: 3:08 - loss: 40.5826 - logits_profile_predictions_loss: 40.2480 - logcount_predictions_loss: 0.3345 131/393 [=========>....................] - ETA: 3:08 - loss: 40.5778 - logits_profile_predictions_loss: 40.2423 - logcount_predictions_loss: 0.3355 132/393 [=========>....................] - ETA: 3:07 - loss: 40.5865 - logits_profile_predictions_loss: 40.2510 - logcount_predictions_loss: 0.3355 133/393 [=========>....................] - ETA: 3:06 - loss: 40.5731 - logits_profile_predictions_loss: 40.2378 - logcount_predictions_loss: 0.3352 134/393 [=========>....................] - ETA: 3:05 - loss: 40.5574 - 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logcount_predictions_loss: 0.3265 389/393 [============================>.] - ETA: 2s - loss: 40.8962 - logits_profile_predictions_loss: 40.5697 - logcount_predictions_loss: 0.3265 390/393 [============================>.] - ETA: 2s - loss: 40.8855 - logits_profile_predictions_loss: 40.5590 - logcount_predictions_loss: 0.3265 391/393 [============================>.] - ETA: 1s - loss: 40.8999 - logits_profile_predictions_loss: 40.5736 - logcount_predictions_loss: 0.3263 392/393 [============================>.] - ETA: 0s - loss: 40.8863 - logits_profile_predictions_loss: 40.5602 - logcount_predictions_loss: 0.3262 393/393 [==============================] - ETA: 0s - loss: 40.8780 - logits_profile_predictions_loss: 40.5517 - logcount_predictions_loss: 0.3264 Epoch 6: val_loss improved from 45.16830 to 45.00069, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.endocardial.In/fold_2/models/chrombpnet.h5  393/393 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[..............................] - ETA: 4:35 - loss: 40.3004 - logits_profile_predictions_loss: 39.9653 - logcount_predictions_loss: 0.3351 7/393 [..............................] - ETA: 4:34 - loss: 39.7326 - logits_profile_predictions_loss: 39.4131 - logcount_predictions_loss: 0.3196 8/393 [..............................] - ETA: 4:33 - loss: 40.0863 - logits_profile_predictions_loss: 39.7600 - logcount_predictions_loss: 0.3263 9/393 [..............................] - ETA: 4:33 - loss: 40.1383 - logits_profile_predictions_loss: 39.8057 - logcount_predictions_loss: 0.3325 10/393 [..............................] - ETA: 4:32 - loss: 40.8749 - logits_profile_predictions_loss: 40.5475 - logcount_predictions_loss: 0.3274 11/393 [..............................] - ETA: 4:31 - loss: 40.4200 - logits_profile_predictions_loss: 40.1029 - logcount_predictions_loss: 0.3171 12/393 [..............................] - ETA: 4:30 - loss: 40.6297 - logits_profile_predictions_loss: 40.3203 - 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[========================>.....] - ETA: 42s - loss: 40.6076 - logits_profile_predictions_loss: 40.2921 - logcount_predictions_loss: 0.3155 335/393 [========================>.....] - ETA: 41s - loss: 40.5877 - logits_profile_predictions_loss: 40.2723 - logcount_predictions_loss: 0.3154 336/393 [========================>.....] - ETA: 41s - loss: 40.5890 - logits_profile_predictions_loss: 40.2737 - logcount_predictions_loss: 0.3153 337/393 [========================>.....] - ETA: 40s - loss: 40.5729 - logits_profile_predictions_loss: 40.2577 - logcount_predictions_loss: 0.3152 338/393 [========================>.....] - ETA: 39s - loss: 40.5699 - logits_profile_predictions_loss: 40.2544 - logcount_predictions_loss: 0.3155 339/393 [========================>.....] - ETA: 38s - loss: 40.5603 - logits_profile_predictions_loss: 40.2444 - logcount_predictions_loss: 0.3158 340/393 [========================>.....] - ETA: 38s - loss: 40.5436 - logits_profile_predictions_loss: 40.2276 - 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- ETA: 28s - loss: 40.6030 - logits_profile_predictions_loss: 40.2865 - logcount_predictions_loss: 0.3165 355/393 [==========================>...] - ETA: 27s - loss: 40.5865 - logits_profile_predictions_loss: 40.2702 - logcount_predictions_loss: 0.3163 356/393 [==========================>...] - ETA: 26s - loss: 40.5911 - logits_profile_predictions_loss: 40.2749 - logcount_predictions_loss: 0.3162 357/393 [==========================>...] - ETA: 25s - loss: 40.5865 - logits_profile_predictions_loss: 40.2702 - logcount_predictions_loss: 0.3163 358/393 [==========================>...] - ETA: 25s - loss: 40.5813 - logits_profile_predictions_loss: 40.2651 - logcount_predictions_loss: 0.3162 359/393 [==========================>...] - ETA: 24s - loss: 40.5748 - logits_profile_predictions_loss: 40.2589 - logcount_predictions_loss: 0.3160 360/393 [==========================>...] - ETA: 23s - loss: 40.5679 - logits_profile_predictions_loss: 40.2519 - logcount_predictions_loss: 0.3159 361/393 [==========================>...] - ETA: 23s - loss: 40.5679 - logits_profile_predictions_loss: 40.2520 - logcount_predictions_loss: 0.3158 362/393 [==========================>...] - ETA: 22s - loss: 40.5765 - logits_profile_predictions_loss: 40.2608 - logcount_predictions_loss: 0.3157 363/393 [==========================>...] - ETA: 21s - loss: 40.5689 - logits_profile_predictions_loss: 40.2532 - logcount_predictions_loss: 0.3157 364/393 [==========================>...] - ETA: 20s - loss: 40.5624 - logits_profile_predictions_loss: 40.2467 - logcount_predictions_loss: 0.3157 365/393 [==========================>...] - ETA: 20s - loss: 40.5691 - logits_profile_predictions_loss: 40.2533 - logcount_predictions_loss: 0.3158 366/393 [==========================>...] - ETA: 19s - loss: 40.5721 - logits_profile_predictions_loss: 40.2563 - logcount_predictions_loss: 0.3158 367/393 [===========================>..] - ETA: 18s - loss: 40.5907 - logits_profile_predictions_loss: 40.2750 - logcount_predictions_loss: 0.3157 368/393 [===========================>..] - ETA: 17s - loss: 40.5897 - logits_profile_predictions_loss: 40.2742 - logcount_predictions_loss: 0.3155 369/393 [===========================>..] - ETA: 17s - loss: 40.5930 - logits_profile_predictions_loss: 40.2774 - logcount_predictions_loss: 0.3155 370/393 [===========================>..] - ETA: 16s - loss: 40.5940 - logits_profile_predictions_loss: 40.2784 - logcount_predictions_loss: 0.3156 371/393 [===========================>..] - ETA: 15s - loss: 40.5832 - logits_profile_predictions_loss: 40.2675 - logcount_predictions_loss: 0.3157 372/393 [===========================>..] - ETA: 15s - loss: 40.5822 - logits_profile_predictions_loss: 40.2665 - logcount_predictions_loss: 0.3157 373/393 [===========================>..] - ETA: 14s - loss: 40.5790 - logits_profile_predictions_loss: 40.2634 - logcount_predictions_loss: 0.3156 374/393 [===========================>..] - ETA: 13s - loss: 40.5663 - logits_profile_predictions_loss: 40.2508 - logcount_predictions_loss: 0.3155 375/393 [===========================>..] - ETA: 12s - loss: 40.5566 - logits_profile_predictions_loss: 40.2411 - logcount_predictions_loss: 0.3155 376/393 [===========================>..] - ETA: 12s - loss: 40.5568 - logits_profile_predictions_loss: 40.2416 - logcount_predictions_loss: 0.3152 377/393 [===========================>..] - ETA: 11s - loss: 40.5498 - logits_profile_predictions_loss: 40.2349 - logcount_predictions_loss: 0.3149 378/393 [===========================>..] - ETA: 10s - loss: 40.5495 - logits_profile_predictions_loss: 40.2347 - logcount_predictions_loss: 0.3148 379/393 [===========================>..] - ETA: 10s - loss: 40.5306 - logits_profile_predictions_loss: 40.2159 - logcount_predictions_loss: 0.3147 380/393 [============================>.] - ETA: 9s - loss: 40.5388 - logits_profile_predictions_loss: 40.2242 - logcount_predictions_loss: 0.3146  381/393 [============================>.] - ETA: 8s - loss: 40.5338 - logits_profile_predictions_loss: 40.2194 - logcount_predictions_loss: 0.3144 382/393 [============================>.] - ETA: 7s - loss: 40.5484 - logits_profile_predictions_loss: 40.2340 - logcount_predictions_loss: 0.3143 383/393 [============================>.] - ETA: 7s - loss: 40.5361 - logits_profile_predictions_loss: 40.2219 - logcount_predictions_loss: 0.3142 384/393 [============================>.] - ETA: 6s - loss: 40.5345 - logits_profile_predictions_loss: 40.2204 - logcount_predictions_loss: 0.3140 385/393 [============================>.] - ETA: 5s - loss: 40.5300 - logits_profile_predictions_loss: 40.2161 - logcount_predictions_loss: 0.3138 386/393 [============================>.] - ETA: 5s - loss: 40.5489 - logits_profile_predictions_loss: 40.2347 - logcount_predictions_loss: 0.3142 387/393 [============================>.] - ETA: 4s - loss: 40.5489 - logits_profile_predictions_loss: 40.2348 - logcount_predictions_loss: 0.3141 388/393 [============================>.] - ETA: 3s - loss: 40.5591 - logits_profile_predictions_loss: 40.2450 - logcount_predictions_loss: 0.3142 389/393 [============================>.] - ETA: 2s - loss: 40.5643 - logits_profile_predictions_loss: 40.2501 - logcount_predictions_loss: 0.3142 390/393 [============================>.] - ETA: 2s - loss: 40.5634 - logits_profile_predictions_loss: 40.2488 - logcount_predictions_loss: 0.3146 391/393 [============================>.] - ETA: 1s - loss: 40.5561 - logits_profile_predictions_loss: 40.2414 - logcount_predictions_loss: 0.3147 392/393 [============================>.] - ETA: 0s - loss: 40.5562 - logits_profile_predictions_loss: 40.2412 - logcount_predictions_loss: 0.3150 393/393 [==============================] - ETA: 0s - loss: 40.5516 - logits_profile_predictions_loss: 40.2368 - logcount_predictions_loss: 0.3149 Epoch 7: val_loss did not improve from 45.00069  393/393 [==============================] - 293s 746ms/step - loss: 40.5516 - logits_profile_predictions_loss: 40.2368 - logcount_predictions_loss: 0.3149 - val_loss: 45.1295 - val_logits_profile_predictions_loss: 44.7229 - val_logcount_predictions_loss: 0.4066 Epoch 8/50 1/393 [..............................] - ETA: 4:44 - loss: 44.9805 - logits_profile_predictions_loss: 44.5073 - logcount_predictions_loss: 0.4732 2/393 [..............................] - ETA: 4:37 - loss: 45.1827 - logits_profile_predictions_loss: 44.7610 - logcount_predictions_loss: 0.4217 3/393 [..............................] - ETA: 4:37 - loss: 43.4950 - logits_profile_predictions_loss: 43.1342 - logcount_predictions_loss: 0.3608 4/393 [..............................] - ETA: 4:36 - loss: 43.5677 - logits_profile_predictions_loss: 43.2140 - logcount_predictions_loss: 0.3538 5/393 [..............................] - ETA: 4:35 - loss: 43.7549 - logits_profile_predictions_loss: 43.3897 - logcount_predictions_loss: 0.3652 6/393 [..............................] - ETA: 4:35 - loss: 43.1360 - logits_profile_predictions_loss: 42.7843 - logcount_predictions_loss: 0.3517 7/393 [..............................] - ETA: 4:34 - loss: 42.1756 - logits_profile_predictions_loss: 41.8436 - logcount_predictions_loss: 0.3320 8/393 [..............................] - ETA: 4:33 - loss: 42.4145 - logits_profile_predictions_loss: 42.0615 - logcount_predictions_loss: 0.3531 9/393 [..............................] - ETA: 4:33 - loss: 41.2958 - logits_profile_predictions_loss: 40.9481 - logcount_predictions_loss: 0.3477 10/393 [..............................] - ETA: 4:32 - loss: 41.1078 - logits_profile_predictions_loss: 40.7657 - logcount_predictions_loss: 0.3421 11/393 [..............................] - ETA: 4:31 - loss: 40.9699 - logits_profile_predictions_loss: 40.6293 - logcount_predictions_loss: 0.3406 12/393 [..............................] - ETA: 4:31 - loss: 41.2985 - logits_profile_predictions_loss: 40.9709 - logcount_predictions_loss: 0.3276 13/393 [..............................] - ETA: 4:30 - loss: 41.1948 - logits_profile_predictions_loss: 40.8573 - logcount_predictions_loss: 0.3375 14/393 [>.............................] - ETA: 4:29 - loss: 40.8964 - logits_profile_predictions_loss: 40.5712 - logcount_predictions_loss: 0.3253 15/393 [>.............................] - ETA: 4:29 - loss: 40.5187 - logits_profile_predictions_loss: 40.1954 - logcount_predictions_loss: 0.3233 16/393 [>.............................] - ETA: 4:28 - loss: 40.6296 - logits_profile_predictions_loss: 40.3067 - logcount_predictions_loss: 0.3229 17/393 [>.............................] - ETA: 4:27 - loss: 40.5641 - logits_profile_predictions_loss: 40.2413 - logcount_predictions_loss: 0.3228 18/393 [>.............................] - ETA: 4:27 - loss: 40.6223 - logits_profile_predictions_loss: 40.2958 - logcount_predictions_loss: 0.3265 19/393 [>.............................] - ETA: 4:26 - loss: 40.6450 - logits_profile_predictions_loss: 40.3194 - logcount_predictions_loss: 0.3256 20/393 [>.............................] - ETA: 4:25 - loss: 40.3384 - logits_profile_predictions_loss: 40.0129 - logcount_predictions_loss: 0.3255 21/393 [>.............................] - ETA: 4:25 - loss: 40.3220 - logits_profile_predictions_loss: 39.9973 - logcount_predictions_loss: 0.3246 22/393 [>.............................] - ETA: 4:24 - loss: 40.5270 - logits_profile_predictions_loss: 40.1999 - logcount_predictions_loss: 0.3271 23/393 [>.............................] - ETA: 4:23 - loss: 40.5698 - logits_profile_predictions_loss: 40.2407 - logcount_predictions_loss: 0.3291 24/393 [>.............................] - ETA: 4:22 - loss: 40.3324 - logits_profile_predictions_loss: 40.0038 - logcount_predictions_loss: 0.3286 25/393 [>.............................] - ETA: 4:22 - loss: 40.1988 - logits_profile_predictions_loss: 39.8692 - logcount_predictions_loss: 0.3296 26/393 [>.............................] - ETA: 4:21 - loss: 40.2402 - logits_profile_predictions_loss: 39.9087 - logcount_predictions_loss: 0.3315 27/393 [=>............................] - ETA: 4:20 - loss: 40.3050 - logits_profile_predictions_loss: 39.9768 - logcount_predictions_loss: 0.3282 28/393 [=>............................] - ETA: 4:20 - loss: 40.2452 - logits_profile_predictions_loss: 39.9167 - logcount_predictions_loss: 0.3285 29/393 [=>............................] - ETA: 4:19 - loss: 40.0206 - logits_profile_predictions_loss: 39.6865 - logcount_predictions_loss: 0.3341 30/393 [=>............................] - ETA: 4:18 - loss: 39.9942 - logits_profile_predictions_loss: 39.6623 - logcount_predictions_loss: 0.3318 31/393 [=>............................] - ETA: 4:18 - loss: 39.9858 - logits_profile_predictions_loss: 39.6547 - logcount_predictions_loss: 0.3311 32/393 [=>............................] - ETA: 4:17 - loss: 39.9700 - logits_profile_predictions_loss: 39.6377 - logcount_predictions_loss: 0.3323 33/393 [=>............................] - ETA: 4:16 - loss: 39.9920 - logits_profile_predictions_loss: 39.6611 - logcount_predictions_loss: 0.3309 34/393 [=>............................] - ETA: 4:15 - loss: 39.9255 - logits_profile_predictions_loss: 39.5965 - logcount_predictions_loss: 0.3290 35/393 [=>............................] - ETA: 4:15 - loss: 39.9228 - logits_profile_predictions_loss: 39.5930 - logcount_predictions_loss: 0.3298 36/393 [=>............................] - ETA: 4:14 - loss: 39.9378 - logits_profile_predictions_loss: 39.6057 - logcount_predictions_loss: 0.3321 37/393 [=>............................] - ETA: 4:13 - loss: 39.8909 - logits_profile_predictions_loss: 39.5606 - logcount_predictions_loss: 0.3304 38/393 [=>............................] - ETA: 4:13 - loss: 39.9848 - logits_profile_predictions_loss: 39.6533 - logcount_predictions_loss: 0.3315 39/393 [=>............................] - ETA: 4:12 - loss: 39.9786 - logits_profile_predictions_loss: 39.6467 - logcount_predictions_loss: 0.3319 40/393 [==>...........................] - ETA: 4:11 - loss: 39.9429 - logits_profile_predictions_loss: 39.6120 - logcount_predictions_loss: 0.3309 41/393 [==>...........................] - ETA: 4:11 - loss: 39.9527 - logits_profile_predictions_loss: 39.6235 - logcount_predictions_loss: 0.3292 42/393 [==>...........................] - ETA: 4:10 - loss: 40.0221 - logits_profile_predictions_loss: 39.6929 - logcount_predictions_loss: 0.3292 43/393 [==>...........................] - ETA: 4:09 - loss: 39.9792 - logits_profile_predictions_loss: 39.6485 - logcount_predictions_loss: 0.3307 44/393 [==>...........................] - ETA: 4:09 - loss: 39.9148 - logits_profile_predictions_loss: 39.5856 - logcount_predictions_loss: 0.3292 45/393 [==>...........................] - ETA: 4:08 - loss: 39.8613 - logits_profile_predictions_loss: 39.5333 - logcount_predictions_loss: 0.3280 46/393 [==>...........................] - ETA: 4:07 - loss: 40.0135 - logits_profile_predictions_loss: 39.6865 - logcount_predictions_loss: 0.3269 47/393 [==>...........................] - ETA: 4:06 - loss: 40.1159 - logits_profile_predictions_loss: 39.7875 - logcount_predictions_loss: 0.3284 48/393 [==>...........................] - ETA: 4:06 - loss: 40.1416 - logits_profile_predictions_loss: 39.8150 - logcount_predictions_loss: 0.3266 49/393 [==>...........................] - ETA: 4:05 - loss: 40.2258 - logits_profile_predictions_loss: 39.8986 - logcount_predictions_loss: 0.3272 50/393 [==>...........................] - ETA: 4:04 - loss: 40.0785 - logits_profile_predictions_loss: 39.7476 - logcount_predictions_loss: 0.3308 51/393 [==>...........................] - ETA: 4:04 - loss: 40.0644 - logits_profile_predictions_loss: 39.7328 - logcount_predictions_loss: 0.3316 52/393 [==>...........................] - ETA: 4:03 - loss: 40.0384 - logits_profile_predictions_loss: 39.7085 - logcount_predictions_loss: 0.3300 53/393 [===>..........................] - ETA: 4:02 - loss: 40.1253 - logits_profile_predictions_loss: 39.7924 - logcount_predictions_loss: 0.3329 54/393 [===>..........................] - ETA: 4:02 - loss: 40.1279 - logits_profile_predictions_loss: 39.7945 - logcount_predictions_loss: 0.3335 55/393 [===>..........................] - ETA: 4:01 - loss: 40.2269 - logits_profile_predictions_loss: 39.8923 - logcount_predictions_loss: 0.3346 56/393 [===>..........................] - ETA: 4:00 - loss: 40.2745 - logits_profile_predictions_loss: 39.9399 - logcount_predictions_loss: 0.3346 57/393 [===>..........................] - ETA: 4:00 - loss: 40.3313 - logits_profile_predictions_loss: 39.9977 - logcount_predictions_loss: 0.3336 58/393 [===>..........................] - ETA: 3:59 - loss: 40.3353 - logits_profile_predictions_loss: 40.0023 - logcount_predictions_loss: 0.3330 59/393 [===>..........................] - ETA: 3:58 - loss: 40.2882 - logits_profile_predictions_loss: 39.9564 - logcount_predictions_loss: 0.3318 60/393 [===>..........................] - ETA: 3:58 - loss: 40.3222 - logits_profile_predictions_loss: 39.9902 - logcount_predictions_loss: 0.3321 61/393 [===>..........................] - ETA: 3:57 - loss: 40.3157 - logits_profile_predictions_loss: 39.9849 - logcount_predictions_loss: 0.3308 62/393 [===>..........................] - ETA: 3:56 - loss: 40.4974 - logits_profile_predictions_loss: 40.1648 - logcount_predictions_loss: 0.3326 63/393 [===>..........................] - ETA: 3:55 - loss: 40.4780 - logits_profile_predictions_loss: 40.1457 - logcount_predictions_loss: 0.3324 64/393 [===>..........................] - ETA: 3:55 - loss: 40.4010 - logits_profile_predictions_loss: 40.0673 - logcount_predictions_loss: 0.3337 65/393 [===>..........................] - ETA: 3:54 - loss: 40.4156 - logits_profile_predictions_loss: 40.0812 - logcount_predictions_loss: 0.3344 66/393 [====>.........................] - ETA: 3:53 - loss: 40.3723 - logits_profile_predictions_loss: 40.0387 - logcount_predictions_loss: 0.3336 67/393 [====>.........................] - ETA: 3:53 - loss: 40.3756 - logits_profile_predictions_loss: 40.0417 - logcount_predictions_loss: 0.3338 68/393 [====>.........................] - ETA: 3:52 - loss: 40.3790 - logits_profile_predictions_loss: 40.0437 - logcount_predictions_loss: 0.3353 69/393 [====>.........................] - ETA: 3:51 - loss: 40.3149 - logits_profile_predictions_loss: 39.9784 - logcount_predictions_loss: 0.3366 70/393 [====>.........................] - ETA: 3:51 - loss: 40.3917 - logits_profile_predictions_loss: 40.0557 - logcount_predictions_loss: 0.3360 71/393 [====>.........................] - ETA: 3:50 - loss: 40.4184 - logits_profile_predictions_loss: 40.0824 - logcount_predictions_loss: 0.3359 72/393 [====>.........................] - ETA: 3:49 - loss: 40.4060 - logits_profile_predictions_loss: 40.0717 - logcount_predictions_loss: 0.3343 73/393 [====>.........................] - ETA: 3:48 - loss: 40.3799 - logits_profile_predictions_loss: 40.0462 - logcount_predictions_loss: 0.3337 74/393 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- ETA: 13s - loss: 40.3300 - logits_profile_predictions_loss: 40.0152 - logcount_predictions_loss: 0.3148 376/393 [===========================>..] - ETA: 12s - loss: 40.3104 - logits_profile_predictions_loss: 39.9958 - logcount_predictions_loss: 0.3146 377/393 [===========================>..] - ETA: 11s - loss: 40.3277 - logits_profile_predictions_loss: 40.0128 - logcount_predictions_loss: 0.3149 378/393 [===========================>..] - ETA: 10s - loss: 40.3141 - logits_profile_predictions_loss: 39.9990 - logcount_predictions_loss: 0.3151 379/393 [===========================>..] - ETA: 10s - loss: 40.2942 - logits_profile_predictions_loss: 39.9793 - logcount_predictions_loss: 0.3149 380/393 [============================>.] - ETA: 9s - loss: 40.2859 - logits_profile_predictions_loss: 39.9710 - logcount_predictions_loss: 0.3148  381/393 [============================>.] - ETA: 8s - loss: 40.2853 - logits_profile_predictions_loss: 39.9706 - logcount_predictions_loss: 0.3146 382/393 [============================>.] - ETA: 7s - loss: 40.2825 - logits_profile_predictions_loss: 39.9678 - logcount_predictions_loss: 0.3146 383/393 [============================>.] - ETA: 7s - loss: 40.2771 - logits_profile_predictions_loss: 39.9621 - logcount_predictions_loss: 0.3150 384/393 [============================>.] - ETA: 6s - loss: 40.2595 - logits_profile_predictions_loss: 39.9441 - logcount_predictions_loss: 0.3154 385/393 [============================>.] - ETA: 5s - loss: 40.2694 - logits_profile_predictions_loss: 39.9539 - logcount_predictions_loss: 0.3155 386/393 [============================>.] - ETA: 5s - loss: 40.2695 - logits_profile_predictions_loss: 39.9539 - logcount_predictions_loss: 0.3156 387/393 [============================>.] - ETA: 4s - loss: 40.2742 - logits_profile_predictions_loss: 39.9586 - logcount_predictions_loss: 0.3156 388/393 [============================>.] - ETA: 3s - loss: 40.2751 - logits_profile_predictions_loss: 39.9595 - logcount_predictions_loss: 0.3156 389/393 [============================>.] - ETA: 2s - loss: 40.2681 - logits_profile_predictions_loss: 39.9525 - logcount_predictions_loss: 0.3156 390/393 [============================>.] - ETA: 2s - loss: 40.2721 - logits_profile_predictions_loss: 39.9563 - logcount_predictions_loss: 0.3158 391/393 [============================>.] - ETA: 1s - loss: 40.2748 - logits_profile_predictions_loss: 39.9591 - logcount_predictions_loss: 0.3156 392/393 [============================>.] - ETA: 0s - loss: 40.2789 - logits_profile_predictions_loss: 39.9634 - logcount_predictions_loss: 0.3155 393/393 [==============================] - ETA: 0s - loss: 40.2953 - logits_profile_predictions_loss: 39.9800 - logcount_predictions_loss: 0.3152 Epoch 8: val_loss did not improve from 45.00069  393/393 [==============================] - 294s 749ms/step - loss: 40.2953 - logits_profile_predictions_loss: 39.9800 - logcount_predictions_loss: 0.3152 - val_loss: 45.0371 - val_logits_profile_predictions_loss: 44.7642 - val_logcount_predictions_loss: 0.2729 Epoch 9/50 1/393 [..............................] - ETA: 4:42 - loss: 39.7247 - logits_profile_predictions_loss: 39.5415 - logcount_predictions_loss: 0.1832 2/393 [..............................] - ETA: 4:37 - loss: 41.0814 - logits_profile_predictions_loss: 40.8293 - logcount_predictions_loss: 0.2521 3/393 [..............................] - ETA: 4:37 - loss: 40.4383 - logits_profile_predictions_loss: 40.1458 - logcount_predictions_loss: 0.2925 4/393 [..............................] - ETA: 4:36 - loss: 40.6283 - logits_profile_predictions_loss: 40.3174 - logcount_predictions_loss: 0.3109 5/393 [..............................] - ETA: 4:36 - loss: 40.3384 - logits_profile_predictions_loss: 40.0312 - logcount_predictions_loss: 0.3072 6/393 [..............................] - ETA: 4:35 - loss: 40.7157 - logits_profile_predictions_loss: 40.4020 - logcount_predictions_loss: 0.3137 7/393 [..............................] - ETA: 4:34 - loss: 40.2299 - logits_profile_predictions_loss: 39.8978 - logcount_predictions_loss: 0.3321 8/393 [..............................] - ETA: 4:34 - loss: 40.0966 - logits_profile_predictions_loss: 39.7532 - logcount_predictions_loss: 0.3434 9/393 [..............................] - ETA: 4:33 - loss: 39.6718 - logits_profile_predictions_loss: 39.3227 - logcount_predictions_loss: 0.3490 10/393 [..............................] - ETA: 4:32 - loss: 39.8422 - logits_profile_predictions_loss: 39.4946 - logcount_predictions_loss: 0.3476 11/393 [..............................] - ETA: 4:32 - loss: 39.3369 - logits_profile_predictions_loss: 38.9928 - logcount_predictions_loss: 0.3441 12/393 [..............................] - ETA: 4:31 - loss: 39.8452 - logits_profile_predictions_loss: 39.4980 - logcount_predictions_loss: 0.3472 13/393 [..............................] - ETA: 4:30 - loss: 39.4943 - logits_profile_predictions_loss: 39.1461 - logcount_predictions_loss: 0.3481 14/393 [>.............................] - ETA: 4:30 - loss: 39.1284 - logits_profile_predictions_loss: 38.7836 - logcount_predictions_loss: 0.3448 15/393 [>.............................] - ETA: 4:29 - loss: 39.3121 - logits_profile_predictions_loss: 38.9702 - logcount_predictions_loss: 0.3419 16/393 [>.............................] - ETA: 4:28 - loss: 39.0444 - logits_profile_predictions_loss: 38.7076 - logcount_predictions_loss: 0.3368 17/393 [>.............................] - ETA: 4:28 - loss: 38.8109 - logits_profile_predictions_loss: 38.4768 - logcount_predictions_loss: 0.3341 18/393 [>.............................] - ETA: 4:27 - loss: 39.2379 - logits_profile_predictions_loss: 38.9078 - logcount_predictions_loss: 0.3301 19/393 [>.............................] - ETA: 4:26 - loss: 39.0753 - logits_profile_predictions_loss: 38.7536 - logcount_predictions_loss: 0.3217 20/393 [>.............................] - ETA: 4:26 - loss: 39.2201 - logits_profile_predictions_loss: 38.8984 - logcount_predictions_loss: 0.3217 21/393 [>.............................] - ETA: 4:25 - loss: 39.1161 - logits_profile_predictions_loss: 38.7945 - logcount_predictions_loss: 0.3216 22/393 [>.............................] - ETA: 4:24 - loss: 39.0709 - logits_profile_predictions_loss: 38.7550 - logcount_predictions_loss: 0.3159 23/393 [>.............................] - ETA: 4:23 - loss: 39.1298 - logits_profile_predictions_loss: 38.8167 - logcount_predictions_loss: 0.3131 24/393 [>.............................] - ETA: 4:23 - loss: 39.1861 - logits_profile_predictions_loss: 38.8772 - logcount_predictions_loss: 0.3089 25/393 [>.............................] - ETA: 4:22 - loss: 39.3240 - logits_profile_predictions_loss: 39.0078 - logcount_predictions_loss: 0.3162 26/393 [>.............................] - ETA: 4:21 - loss: 39.3765 - logits_profile_predictions_loss: 39.0614 - logcount_predictions_loss: 0.3151 27/393 [=>............................] - ETA: 4:21 - loss: 39.3105 - logits_profile_predictions_loss: 38.9962 - logcount_predictions_loss: 0.3144 28/393 [=>............................] - ETA: 4:20 - loss: 39.3134 - logits_profile_predictions_loss: 39.0008 - logcount_predictions_loss: 0.3125 29/393 [=>............................] - ETA: 4:19 - loss: 39.2525 - logits_profile_predictions_loss: 38.9397 - logcount_predictions_loss: 0.3128 30/393 [=>............................] - ETA: 4:19 - loss: 39.4540 - logits_profile_predictions_loss: 39.1433 - logcount_predictions_loss: 0.3107 31/393 [=>............................] - ETA: 4:18 - loss: 39.7545 - logits_profile_predictions_loss: 39.4440 - logcount_predictions_loss: 0.3105 32/393 [=>............................] - ETA: 4:17 - loss: 39.8121 - logits_profile_predictions_loss: 39.5010 - logcount_predictions_loss: 0.3111 33/393 [=>............................] - ETA: 4:17 - loss: 39.7031 - logits_profile_predictions_loss: 39.3920 - logcount_predictions_loss: 0.3111 34/393 [=>............................] - ETA: 4:16 - loss: 39.7658 - logits_profile_predictions_loss: 39.4562 - logcount_predictions_loss: 0.3096 35/393 [=>............................] - ETA: 4:15 - loss: 39.7818 - logits_profile_predictions_loss: 39.4728 - logcount_predictions_loss: 0.3090 36/393 [=>............................] - ETA: 4:15 - loss: 39.8700 - logits_profile_predictions_loss: 39.5623 - logcount_predictions_loss: 0.3077 37/393 [=>............................] - ETA: 4:14 - loss: 39.7325 - logits_profile_predictions_loss: 39.4268 - logcount_predictions_loss: 0.3057 38/393 [=>............................] - ETA: 4:13 - loss: 39.7058 - logits_profile_predictions_loss: 39.4002 - logcount_predictions_loss: 0.3056 39/393 [=>............................] - ETA: 4:13 - loss: 39.7832 - logits_profile_predictions_loss: 39.4766 - logcount_predictions_loss: 0.3067 40/393 [==>...........................] - ETA: 4:12 - loss: 39.7490 - logits_profile_predictions_loss: 39.4448 - logcount_predictions_loss: 0.3042 41/393 [==>...........................] - ETA: 4:11 - loss: 39.7323 - logits_profile_predictions_loss: 39.4301 - logcount_predictions_loss: 0.3022 42/393 [==>...........................] - ETA: 4:10 - loss: 39.7410 - logits_profile_predictions_loss: 39.4377 - logcount_predictions_loss: 0.3033 43/393 [==>...........................] - ETA: 4:10 - loss: 39.6558 - logits_profile_predictions_loss: 39.3560 - logcount_predictions_loss: 0.2997 44/393 [==>...........................] - ETA: 4:09 - loss: 39.6730 - logits_profile_predictions_loss: 39.3741 - logcount_predictions_loss: 0.2989 45/393 [==>...........................] - ETA: 4:08 - loss: 39.7351 - logits_profile_predictions_loss: 39.4373 - logcount_predictions_loss: 0.2978 46/393 [==>...........................] - ETA: 4:08 - loss: 39.7446 - logits_profile_predictions_loss: 39.4475 - logcount_predictions_loss: 0.2971 47/393 [==>...........................] - ETA: 4:07 - loss: 39.7166 - logits_profile_predictions_loss: 39.4207 - logcount_predictions_loss: 0.2959 48/393 [==>...........................] - ETA: 4:06 - loss: 39.7372 - logits_profile_predictions_loss: 39.4425 - logcount_predictions_loss: 0.2947 49/393 [==>...........................] - ETA: 4:06 - loss: 39.5542 - logits_profile_predictions_loss: 39.2601 - logcount_predictions_loss: 0.2940 50/393 [==>...........................] - ETA: 4:05 - loss: 39.5289 - logits_profile_predictions_loss: 39.2351 - logcount_predictions_loss: 0.2938 51/393 [==>...........................] - ETA: 4:04 - loss: 39.4279 - logits_profile_predictions_loss: 39.1350 - logcount_predictions_loss: 0.2929 52/393 [==>...........................] - ETA: 4:04 - loss: 39.4120 - logits_profile_predictions_loss: 39.1181 - logcount_predictions_loss: 0.2939 53/393 [===>..........................] - ETA: 4:03 - loss: 39.3110 - logits_profile_predictions_loss: 39.0172 - logcount_predictions_loss: 0.2938 54/393 [===>..........................] - ETA: 4:02 - loss: 39.3771 - logits_profile_predictions_loss: 39.0839 - logcount_predictions_loss: 0.2932 55/393 [===>..........................] - ETA: 4:01 - loss: 39.4086 - logits_profile_predictions_loss: 39.1159 - logcount_predictions_loss: 0.2928 56/393 [===>..........................] - ETA: 4:01 - loss: 39.3507 - logits_profile_predictions_loss: 39.0594 - logcount_predictions_loss: 0.2913 57/393 [===>..........................] - ETA: 4:00 - loss: 39.3524 - logits_profile_predictions_loss: 39.0617 - logcount_predictions_loss: 0.2907 58/393 [===>..........................] - ETA: 3:59 - loss: 39.3499 - logits_profile_predictions_loss: 39.0578 - logcount_predictions_loss: 0.2921 59/393 [===>..........................] - ETA: 3:59 - loss: 39.3952 - logits_profile_predictions_loss: 39.1037 - logcount_predictions_loss: 0.2915 60/393 [===>..........................] - ETA: 3:58 - loss: 39.3245 - logits_profile_predictions_loss: 39.0335 - logcount_predictions_loss: 0.2910 61/393 [===>..........................] - ETA: 3:57 - loss: 39.2972 - logits_profile_predictions_loss: 39.0078 - logcount_predictions_loss: 0.2895 62/393 [===>..........................] - ETA: 3:56 - loss: 39.3614 - logits_profile_predictions_loss: 39.0730 - logcount_predictions_loss: 0.2884 63/393 [===>..........................] - ETA: 3:56 - loss: 39.3767 - logits_profile_predictions_loss: 39.0882 - logcount_predictions_loss: 0.2885 64/393 [===>..........................] - ETA: 3:55 - loss: 39.4756 - logits_profile_predictions_loss: 39.1882 - logcount_predictions_loss: 0.2874 65/393 [===>..........................] - ETA: 3:54 - loss: 39.5209 - logits_profile_predictions_loss: 39.2345 - logcount_predictions_loss: 0.2863 66/393 [====>.........................] - ETA: 3:54 - loss: 39.4968 - logits_profile_predictions_loss: 39.2116 - logcount_predictions_loss: 0.2852 67/393 [====>.........................] - ETA: 3:53 - loss: 39.5237 - logits_profile_predictions_loss: 39.2396 - logcount_predictions_loss: 0.2840 68/393 [====>.........................] - ETA: 3:52 - loss: 39.5755 - logits_profile_predictions_loss: 39.2915 - logcount_predictions_loss: 0.2840 69/393 [====>.........................] - ETA: 3:52 - loss: 39.5665 - logits_profile_predictions_loss: 39.2825 - logcount_predictions_loss: 0.2840 70/393 [====>.........................] - ETA: 3:51 - loss: 39.5308 - logits_profile_predictions_loss: 39.2470 - logcount_predictions_loss: 0.2838 71/393 [====>.........................] - ETA: 3:50 - loss: 39.4947 - logits_profile_predictions_loss: 39.2118 - logcount_predictions_loss: 0.2829 72/393 [====>.........................] - ETA: 3:49 - loss: 39.4789 - logits_profile_predictions_loss: 39.1968 - logcount_predictions_loss: 0.2821 73/393 [====>.........................] - ETA: 3:49 - loss: 39.4499 - logits_profile_predictions_loss: 39.1673 - logcount_predictions_loss: 0.2825 74/393 [====>.........................] - ETA: 3:48 - loss: 39.5071 - logits_profile_predictions_loss: 39.2247 - logcount_predictions_loss: 0.2824 75/393 [====>.........................] - ETA: 3:47 - loss: 39.5775 - logits_profile_predictions_loss: 39.2949 - logcount_predictions_loss: 0.2826 76/393 [====>.........................] - ETA: 3:47 - loss: 39.5634 - logits_profile_predictions_loss: 39.2818 - logcount_predictions_loss: 0.2816 77/393 [====>.........................] - ETA: 3:46 - loss: 39.5681 - logits_profile_predictions_loss: 39.2872 - logcount_predictions_loss: 0.2808 78/393 [====>.........................] - ETA: 3:45 - loss: 39.5688 - logits_profile_predictions_loss: 39.2885 - logcount_predictions_loss: 0.2803 79/393 [=====>........................] - ETA: 3:45 - loss: 39.5465 - logits_profile_predictions_loss: 39.2660 - logcount_predictions_loss: 0.2805 80/393 [=====>........................] - ETA: 3:44 - loss: 39.5018 - logits_profile_predictions_loss: 39.2217 - logcount_predictions_loss: 0.2801 81/393 [=====>........................] - ETA: 3:43 - loss: 39.5141 - logits_profile_predictions_loss: 39.2334 - logcount_predictions_loss: 0.2808 82/393 [=====>........................] - ETA: 3:42 - loss: 39.4776 - logits_profile_predictions_loss: 39.1979 - logcount_predictions_loss: 0.2797 83/393 [=====>........................] - ETA: 3:42 - loss: 39.3965 - logits_profile_predictions_loss: 39.1162 - logcount_predictions_loss: 0.2803 84/393 [=====>........................] - ETA: 3:41 - loss: 39.4638 - logits_profile_predictions_loss: 39.1822 - logcount_predictions_loss: 0.2816 85/393 [=====>........................] - ETA: 3:40 - loss: 39.5354 - logits_profile_predictions_loss: 39.2536 - logcount_predictions_loss: 0.2818 86/393 [=====>........................] - ETA: 3:40 - loss: 39.5362 - logits_profile_predictions_loss: 39.2552 - logcount_predictions_loss: 0.2810 87/393 [=====>........................] - ETA: 3:39 - loss: 39.5541 - logits_profile_predictions_loss: 39.2731 - logcount_predictions_loss: 0.2810 88/393 [=====>........................] - ETA: 3:38 - loss: 39.5376 - logits_profile_predictions_loss: 39.2562 - logcount_predictions_loss: 0.2813 89/393 [=====>........................] - ETA: 3:37 - loss: 39.4720 - logits_profile_predictions_loss: 39.1905 - logcount_predictions_loss: 0.2815 90/393 [=====>........................] - ETA: 3:37 - loss: 39.5101 - logits_profile_predictions_loss: 39.2284 - logcount_predictions_loss: 0.2817 91/393 [=====>........................] - ETA: 3:36 - loss: 39.5120 - logits_profile_predictions_loss: 39.2309 - logcount_predictions_loss: 0.2812 92/393 [======>.......................] - ETA: 3:35 - loss: 39.5207 - logits_profile_predictions_loss: 39.2391 - logcount_predictions_loss: 0.2816 93/393 [======>.......................] - ETA: 3:35 - loss: 39.5611 - logits_profile_predictions_loss: 39.2786 - logcount_predictions_loss: 0.2826 94/393 [======>.......................] - ETA: 3:34 - loss: 39.5871 - logits_profile_predictions_loss: 39.3049 - logcount_predictions_loss: 0.2822 95/393 [======>.......................] - ETA: 3:33 - loss: 39.5582 - logits_profile_predictions_loss: 39.2758 - logcount_predictions_loss: 0.2825 96/393 [======>.......................] - ETA: 3:32 - loss: 39.6141 - logits_profile_predictions_loss: 39.3306 - logcount_predictions_loss: 0.2835 97/393 [======>.......................] - ETA: 3:32 - loss: 39.6387 - logits_profile_predictions_loss: 39.3552 - logcount_predictions_loss: 0.2834 98/393 [======>.......................] - ETA: 3:31 - loss: 39.6473 - logits_profile_predictions_loss: 39.3648 - logcount_predictions_loss: 0.2825 99/393 [======>.......................] - ETA: 3:30 - loss: 39.6053 - logits_profile_predictions_loss: 39.3226 - logcount_predictions_loss: 0.2828 100/393 [======>.......................] - ETA: 3:30 - loss: 39.5796 - logits_profile_predictions_loss: 39.2961 - logcount_predictions_loss: 0.2835 101/393 [======>.......................] - ETA: 3:29 - loss: 39.6797 - logits_profile_predictions_loss: 39.3970 - logcount_predictions_loss: 0.2826 102/393 [======>.......................] - ETA: 3:28 - loss: 39.6616 - logits_profile_predictions_loss: 39.3787 - logcount_predictions_loss: 0.2829 103/393 [======>.......................] - ETA: 3:28 - loss: 39.7136 - logits_profile_predictions_loss: 39.4304 - logcount_predictions_loss: 0.2832 104/393 [======>.......................] - ETA: 3:27 - loss: 39.7084 - logits_profile_predictions_loss: 39.4241 - logcount_predictions_loss: 0.2842 105/393 [=======>......................] - ETA: 3:26 - loss: 39.7148 - logits_profile_predictions_loss: 39.4313 - logcount_predictions_loss: 0.2836 106/393 [=======>......................] - ETA: 3:25 - loss: 39.6502 - logits_profile_predictions_loss: 39.3669 - logcount_predictions_loss: 0.2833 107/393 [=======>......................] - ETA: 3:25 - loss: 39.6171 - logits_profile_predictions_loss: 39.3339 - logcount_predictions_loss: 0.2832 108/393 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[======================>.......] - ETA: 1:01 - loss: 39.9934 - logits_profile_predictions_loss: 39.6954 - logcount_predictions_loss: 0.2980 309/393 [======================>.......] - ETA: 1:00 - loss: 39.9800 - logits_profile_predictions_loss: 39.6820 - logcount_predictions_loss: 0.2980 310/393 [======================>.......] - ETA: 59s - loss: 39.9672 - logits_profile_predictions_loss: 39.6693 - logcount_predictions_loss: 0.2979  311/393 [======================>.......] - ETA: 59s - loss: 39.9627 - logits_profile_predictions_loss: 39.6648 - logcount_predictions_loss: 0.2980 312/393 [======================>.......] - ETA: 58s - loss: 39.9488 - logits_profile_predictions_loss: 39.6508 - logcount_predictions_loss: 0.2981 313/393 [======================>.......] - ETA: 57s - loss: 39.9463 - logits_profile_predictions_loss: 39.6482 - logcount_predictions_loss: 0.2982 314/393 [======================>.......] - ETA: 56s - loss: 39.9694 - logits_profile_predictions_loss: 39.6713 - 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[========================>.....] - ETA: 41s - loss: 39.9802 - logits_profile_predictions_loss: 39.6824 - logcount_predictions_loss: 0.2979 336/393 [========================>.....] - ETA: 41s - loss: 39.9767 - logits_profile_predictions_loss: 39.6786 - logcount_predictions_loss: 0.2981 337/393 [========================>.....] - ETA: 40s - loss: 39.9670 - logits_profile_predictions_loss: 39.6689 - logcount_predictions_loss: 0.2981 338/393 [========================>.....] - ETA: 39s - loss: 39.9746 - logits_profile_predictions_loss: 39.6766 - logcount_predictions_loss: 0.2980 339/393 [========================>.....] - ETA: 38s - loss: 39.9906 - logits_profile_predictions_loss: 39.6927 - logcount_predictions_loss: 0.2979 340/393 [========================>.....] - ETA: 38s - loss: 39.9852 - logits_profile_predictions_loss: 39.6872 - logcount_predictions_loss: 0.2981 341/393 [=========================>....] - ETA: 37s - loss: 39.9950 - logits_profile_predictions_loss: 39.6968 - 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- ETA: 27s - loss: 40.0135 - logits_profile_predictions_loss: 39.7153 - logcount_predictions_loss: 0.2982 356/393 [==========================>...] - ETA: 26s - loss: 40.0078 - logits_profile_predictions_loss: 39.7097 - logcount_predictions_loss: 0.2981 357/393 [==========================>...] - ETA: 25s - loss: 40.0152 - logits_profile_predictions_loss: 39.7169 - logcount_predictions_loss: 0.2984 358/393 [==========================>...] - ETA: 25s - loss: 40.0021 - logits_profile_predictions_loss: 39.7038 - logcount_predictions_loss: 0.2983 359/393 [==========================>...] - ETA: 24s - loss: 39.9918 - logits_profile_predictions_loss: 39.6935 - logcount_predictions_loss: 0.2983 360/393 [==========================>...] - ETA: 23s - loss: 39.9801 - logits_profile_predictions_loss: 39.6820 - logcount_predictions_loss: 0.2982 361/393 [==========================>...] - ETA: 23s - loss: 39.9920 - logits_profile_predictions_loss: 39.6937 - logcount_predictions_loss: 0.2982 362/393 [==========================>...] - ETA: 22s - loss: 40.0132 - logits_profile_predictions_loss: 39.7152 - logcount_predictions_loss: 0.2980 363/393 [==========================>...] - ETA: 21s - loss: 40.0119 - logits_profile_predictions_loss: 39.7139 - logcount_predictions_loss: 0.2980 364/393 [==========================>...] - ETA: 20s - loss: 40.0144 - logits_profile_predictions_loss: 39.7165 - logcount_predictions_loss: 0.2979 365/393 [==========================>...] - ETA: 20s - loss: 40.0008 - logits_profile_predictions_loss: 39.7030 - logcount_predictions_loss: 0.2978 366/393 [==========================>...] - ETA: 19s - loss: 39.9925 - logits_profile_predictions_loss: 39.6948 - logcount_predictions_loss: 0.2977 367/393 [===========================>..] - ETA: 18s - loss: 39.9801 - logits_profile_predictions_loss: 39.6825 - logcount_predictions_loss: 0.2976 368/393 [===========================>..] - ETA: 18s - loss: 39.9876 - logits_profile_predictions_loss: 39.6901 - 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logits_profile_predictions_loss: 39.6436 - logcount_predictions_loss: 0.2975 376/393 [===========================>..] - ETA: 12s - loss: 39.9575 - logits_profile_predictions_loss: 39.6598 - logcount_predictions_loss: 0.2978 377/393 [===========================>..] - ETA: 11s - loss: 39.9436 - logits_profile_predictions_loss: 39.6458 - logcount_predictions_loss: 0.2978 378/393 [===========================>..] - ETA: 10s - loss: 39.9649 - logits_profile_predictions_loss: 39.6670 - logcount_predictions_loss: 0.2980 379/393 [===========================>..] - ETA: 10s - loss: 39.9708 - logits_profile_predictions_loss: 39.6731 - logcount_predictions_loss: 0.2978 380/393 [============================>.] - ETA: 9s - loss: 39.9518 - logits_profile_predictions_loss: 39.6540 - logcount_predictions_loss: 0.2978  381/393 [============================>.] - ETA: 8s - loss: 39.9513 - logits_profile_predictions_loss: 39.6536 - logcount_predictions_loss: 0.2977 382/393 [============================>.] - ETA: 7s - loss: 39.9558 - logits_profile_predictions_loss: 39.6580 - logcount_predictions_loss: 0.2978 383/393 [============================>.] - ETA: 7s - loss: 39.9664 - logits_profile_predictions_loss: 39.6683 - logcount_predictions_loss: 0.2981 384/393 [============================>.] - ETA: 6s - loss: 39.9673 - logits_profile_predictions_loss: 39.6690 - logcount_predictions_loss: 0.2983 385/393 [============================>.] - ETA: 5s - loss: 39.9696 - logits_profile_predictions_loss: 39.6712 - logcount_predictions_loss: 0.2985 386/393 [============================>.] - ETA: 5s - loss: 39.9737 - logits_profile_predictions_loss: 39.6756 - logcount_predictions_loss: 0.2982 387/393 [============================>.] - ETA: 4s - loss: 39.9862 - logits_profile_predictions_loss: 39.6881 - logcount_predictions_loss: 0.2981 388/393 [============================>.] - ETA: 3s - loss: 39.9743 - logits_profile_predictions_loss: 39.6763 - logcount_predictions_loss: 0.2981 389/393 [============================>.] - ETA: 2s - loss: 39.9651 - logits_profile_predictions_loss: 39.6671 - logcount_predictions_loss: 0.2980 390/393 [============================>.] - ETA: 2s - loss: 39.9701 - logits_profile_predictions_loss: 39.6720 - logcount_predictions_loss: 0.2981 391/393 [============================>.] - ETA: 1s - loss: 39.9735 - logits_profile_predictions_loss: 39.6752 - logcount_predictions_loss: 0.2983 392/393 [============================>.] - ETA: 0s - loss: 39.9779 - logits_profile_predictions_loss: 39.6796 - logcount_predictions_loss: 0.2983 393/393 [==============================] - ETA: 0s - loss: 39.9873 - logits_profile_predictions_loss: 39.6890 - logcount_predictions_loss: 0.2982 Epoch 9: val_loss did not improve from 45.00069  393/393 [==============================] - 294s 747ms/step - loss: 39.9873 - logits_profile_predictions_loss: 39.6890 - logcount_predictions_loss: 0.2982 - val_loss: 45.3189 - val_logits_profile_predictions_loss: 44.9923 - val_logcount_predictions_loss: 0.3265 Epoch 10/50 1/393 [..............................] - ETA: 4:43 - loss: 35.4605 - logits_profile_predictions_loss: 35.2006 - logcount_predictions_loss: 0.2598 2/393 [..............................] - ETA: 4:38 - loss: 37.0128 - logits_profile_predictions_loss: 36.7525 - logcount_predictions_loss: 0.2602 3/393 [..............................] - ETA: 4:37 - loss: 38.1741 - logits_profile_predictions_loss: 37.9278 - logcount_predictions_loss: 0.2463 4/393 [..............................] - ETA: 4:37 - loss: 37.0066 - logits_profile_predictions_loss: 36.7537 - logcount_predictions_loss: 0.2529 5/393 [..............................] - ETA: 4:36 - loss: 37.1526 - logits_profile_predictions_loss: 36.8993 - logcount_predictions_loss: 0.2533 6/393 [..............................] - ETA: 4:36 - loss: 36.9621 - logits_profile_predictions_loss: 36.7035 - logcount_predictions_loss: 0.2586 7/393 [..............................] - ETA: 4:35 - loss: 37.2487 - 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- ETA: 31s - loss: 39.6597 - logits_profile_predictions_loss: 39.3552 - logcount_predictions_loss: 0.3046 350/393 [=========================>....] - ETA: 31s - loss: 39.6550 - logits_profile_predictions_loss: 39.3506 - logcount_predictions_loss: 0.3044 351/393 [=========================>....] - ETA: 30s - loss: 39.6435 - logits_profile_predictions_loss: 39.3392 - logcount_predictions_loss: 0.3043 352/393 [=========================>....] - ETA: 29s - loss: 39.6348 - logits_profile_predictions_loss: 39.3303 - logcount_predictions_loss: 0.3046 353/393 [=========================>....] - ETA: 28s - loss: 39.6454 - logits_profile_predictions_loss: 39.3410 - logcount_predictions_loss: 0.3045 354/393 [==========================>...] - ETA: 28s - loss: 39.6243 - logits_profile_predictions_loss: 39.3197 - logcount_predictions_loss: 0.3046 355/393 [==========================>...] - ETA: 27s - loss: 39.6187 - logits_profile_predictions_loss: 39.3145 - logcount_predictions_loss: 0.3043 356/393 [==========================>...] - ETA: 26s - loss: 39.6207 - logits_profile_predictions_loss: 39.3166 - logcount_predictions_loss: 0.3041 357/393 [==========================>...] - ETA: 26s - loss: 39.6252 - logits_profile_predictions_loss: 39.3214 - logcount_predictions_loss: 0.3038 358/393 [==========================>...] - ETA: 25s - loss: 39.6343 - logits_profile_predictions_loss: 39.3307 - logcount_predictions_loss: 0.3036 359/393 [==========================>...] - ETA: 24s - loss: 39.6356 - logits_profile_predictions_loss: 39.3321 - logcount_predictions_loss: 0.3035 360/393 [==========================>...] - ETA: 23s - loss: 39.6408 - logits_profile_predictions_loss: 39.3374 - logcount_predictions_loss: 0.3034 361/393 [==========================>...] - ETA: 23s - loss: 39.6437 - logits_profile_predictions_loss: 39.3404 - logcount_predictions_loss: 0.3033 362/393 [==========================>...] - ETA: 22s - loss: 39.6696 - logits_profile_predictions_loss: 39.3661 - 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- ETA: 12s - loss: 39.5978 - logits_profile_predictions_loss: 39.2962 - logcount_predictions_loss: 0.3016 377/393 [===========================>..] - ETA: 11s - loss: 39.6195 - logits_profile_predictions_loss: 39.3179 - logcount_predictions_loss: 0.3016 378/393 [===========================>..] - ETA: 10s - loss: 39.6147 - logits_profile_predictions_loss: 39.3132 - logcount_predictions_loss: 0.3016 379/393 [===========================>..] - ETA: 10s - loss: 39.6175 - logits_profile_predictions_loss: 39.3160 - logcount_predictions_loss: 0.3016 380/393 [============================>.] - ETA: 9s - loss: 39.6096 - logits_profile_predictions_loss: 39.3080 - logcount_predictions_loss: 0.3015  381/393 [============================>.] - ETA: 8s - loss: 39.6084 - logits_profile_predictions_loss: 39.3068 - logcount_predictions_loss: 0.3016 382/393 [============================>.] - ETA: 7s - loss: 39.6130 - logits_profile_predictions_loss: 39.3114 - logcount_predictions_loss: 0.3016 383/393 [============================>.] - ETA: 7s - loss: 39.5940 - logits_profile_predictions_loss: 39.2925 - logcount_predictions_loss: 0.3014 384/393 [============================>.] - ETA: 6s - loss: 39.5984 - logits_profile_predictions_loss: 39.2966 - logcount_predictions_loss: 0.3018 385/393 [============================>.] - ETA: 5s - loss: 39.5985 - logits_profile_predictions_loss: 39.2969 - logcount_predictions_loss: 0.3016 386/393 [============================>.] - ETA: 5s - loss: 39.6103 - logits_profile_predictions_loss: 39.3090 - logcount_predictions_loss: 0.3013 387/393 [============================>.] - ETA: 4s - loss: 39.6166 - logits_profile_predictions_loss: 39.3155 - logcount_predictions_loss: 0.3012 388/393 [============================>.] - ETA: 3s - loss: 39.6293 - logits_profile_predictions_loss: 39.3279 - logcount_predictions_loss: 0.3014 389/393 [============================>.] - ETA: 2s - loss: 39.6227 - logits_profile_predictions_loss: 39.3214 - logcount_predictions_loss: 0.3014 390/393 [============================>.] - ETA: 2s - loss: 39.6293 - logits_profile_predictions_loss: 39.3277 - logcount_predictions_loss: 0.3016 391/393 [============================>.] - ETA: 1s - loss: 39.6226 - logits_profile_predictions_loss: 39.3208 - logcount_predictions_loss: 0.3018 392/393 [============================>.] - ETA: 0s - loss: 39.6371 - logits_profile_predictions_loss: 39.3350 - logcount_predictions_loss: 0.3021 393/393 [==============================] - ETA: 0s - loss: 39.6398 - logits_profile_predictions_loss: 39.3377 - logcount_predictions_loss: 0.3020 Epoch 10: val_loss did not improve from 45.00069  393/393 [==============================] - 294s 749ms/step - loss: 39.6398 - logits_profile_predictions_loss: 39.3377 - logcount_predictions_loss: 0.3020 - val_loss: 45.4946 - val_logits_profile_predictions_loss: 45.2263 - val_logcount_predictions_loss: 0.2683 Epoch 11/50 1/393 [..............................] - ETA: 4:41 - loss: 38.1998 - logits_profile_predictions_loss: 37.9623 - logcount_predictions_loss: 0.2375 2/393 [..............................] - ETA: 4:38 - loss: 40.9642 - logits_profile_predictions_loss: 40.7094 - logcount_predictions_loss: 0.2548 3/393 [..............................] - ETA: 4:37 - loss: 41.4051 - logits_profile_predictions_loss: 41.1323 - logcount_predictions_loss: 0.2728 4/393 [..............................] - ETA: 4:37 - loss: 42.7681 - logits_profile_predictions_loss: 42.4882 - logcount_predictions_loss: 0.2799 5/393 [..............................] - ETA: 4:36 - loss: 42.8988 - logits_profile_predictions_loss: 42.6265 - logcount_predictions_loss: 0.2723 6/393 [..............................] - ETA: 4:35 - loss: 42.3337 - logits_profile_predictions_loss: 42.0656 - logcount_predictions_loss: 0.2681 7/393 [..............................] - ETA: 4:35 - loss: 43.5141 - logits_profile_predictions_loss: 43.2517 - logcount_predictions_loss: 0.2624 8/393 [..............................] - ETA: 4:34 - loss: 42.7437 - logits_profile_predictions_loss: 42.4836 - logcount_predictions_loss: 0.2601 9/393 [..............................] - ETA: 4:33 - loss: 42.2715 - logits_profile_predictions_loss: 42.0131 - logcount_predictions_loss: 0.2584 10/393 [..............................] - ETA: 4:33 - loss: 42.1664 - logits_profile_predictions_loss: 41.8964 - logcount_predictions_loss: 0.2700 11/393 [..............................] - ETA: 4:32 - loss: 41.8784 - logits_profile_predictions_loss: 41.6104 - logcount_predictions_loss: 0.2680 12/393 [..............................] - ETA: 4:31 - loss: 41.6804 - logits_profile_predictions_loss: 41.4065 - logcount_predictions_loss: 0.2740 13/393 [..............................] - ETA: 4:31 - loss: 40.9950 - logits_profile_predictions_loss: 40.7199 - logcount_predictions_loss: 0.2751 14/393 [>.............................] - ETA: 4:30 - loss: 40.7663 - logits_profile_predictions_loss: 40.4892 - 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ETA: 4:20 - loss: 40.2383 - logits_profile_predictions_loss: 39.9623 - logcount_predictions_loss: 0.2761 29/393 [=>............................] - ETA: 4:19 - loss: 40.4230 - logits_profile_predictions_loss: 40.1484 - logcount_predictions_loss: 0.2746 30/393 [=>............................] - ETA: 4:19 - loss: 40.4919 - logits_profile_predictions_loss: 40.2198 - logcount_predictions_loss: 0.2721 31/393 [=>............................] - ETA: 4:18 - loss: 40.6019 - logits_profile_predictions_loss: 40.3309 - logcount_predictions_loss: 0.2711 32/393 [=>............................] - ETA: 4:17 - loss: 40.3934 - logits_profile_predictions_loss: 40.1219 - logcount_predictions_loss: 0.2714 33/393 [=>............................] - ETA: 4:17 - loss: 40.3996 - logits_profile_predictions_loss: 40.1256 - logcount_predictions_loss: 0.2740 34/393 [=>............................] - ETA: 4:16 - loss: 40.5154 - logits_profile_predictions_loss: 40.2410 - logcount_predictions_loss: 0.2744 35/393 [=>............................] - ETA: 4:15 - loss: 40.4611 - logits_profile_predictions_loss: 40.1890 - logcount_predictions_loss: 0.2721 36/393 [=>............................] - ETA: 4:15 - loss: 40.2266 - logits_profile_predictions_loss: 39.9550 - logcount_predictions_loss: 0.2716 37/393 [=>............................] - ETA: 4:14 - loss: 40.1528 - logits_profile_predictions_loss: 39.8796 - logcount_predictions_loss: 0.2732 38/393 [=>............................] - ETA: 4:13 - loss: 40.1887 - logits_profile_predictions_loss: 39.9161 - logcount_predictions_loss: 0.2726 39/393 [=>............................] - ETA: 4:13 - loss: 40.0968 - logits_profile_predictions_loss: 39.8263 - logcount_predictions_loss: 0.2705 40/393 [==>...........................] - ETA: 4:12 - loss: 40.0776 - logits_profile_predictions_loss: 39.8076 - logcount_predictions_loss: 0.2700 41/393 [==>...........................] - ETA: 4:11 - loss: 40.0712 - logits_profile_predictions_loss: 39.8029 - 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logits_profile_predictions_loss: 39.0559 - logcount_predictions_loss: 0.2919 350/393 [=========================>....] - ETA: 31s - loss: 39.3465 - logits_profile_predictions_loss: 39.0544 - logcount_predictions_loss: 0.2920 351/393 [=========================>....] - ETA: 30s - loss: 39.3338 - logits_profile_predictions_loss: 39.0418 - logcount_predictions_loss: 0.2920 352/393 [=========================>....] - ETA: 29s - loss: 39.3110 - logits_profile_predictions_loss: 39.0194 - logcount_predictions_loss: 0.2916 353/393 [=========================>....] - ETA: 28s - loss: 39.3195 - logits_profile_predictions_loss: 39.0278 - logcount_predictions_loss: 0.2917 354/393 [==========================>...] - ETA: 28s - loss: 39.3036 - logits_profile_predictions_loss: 39.0120 - logcount_predictions_loss: 0.2916 355/393 [==========================>...] - ETA: 27s - loss: 39.2880 - logits_profile_predictions_loss: 38.9966 - logcount_predictions_loss: 0.2914 356/393 [==========================>...] - ETA: 26s - loss: 39.2869 - logits_profile_predictions_loss: 38.9952 - logcount_predictions_loss: 0.2917 357/393 [==========================>...] - ETA: 26s - loss: 39.2866 - logits_profile_predictions_loss: 38.9950 - logcount_predictions_loss: 0.2916 358/393 [==========================>...] - ETA: 25s - loss: 39.3004 - logits_profile_predictions_loss: 39.0088 - logcount_predictions_loss: 0.2916 359/393 [==========================>...] - ETA: 24s - loss: 39.2820 - logits_profile_predictions_loss: 38.9904 - logcount_predictions_loss: 0.2916 360/393 [==========================>...] - ETA: 23s - loss: 39.2834 - logits_profile_predictions_loss: 38.9920 - logcount_predictions_loss: 0.2914 361/393 [==========================>...] - ETA: 23s - loss: 39.2826 - logits_profile_predictions_loss: 38.9911 - logcount_predictions_loss: 0.2914 362/393 [==========================>...] - ETA: 22s - loss: 39.2819 - logits_profile_predictions_loss: 38.9902 - logcount_predictions_loss: 0.2916 363/393 [==========================>...] - ETA: 21s - loss: 39.2693 - logits_profile_predictions_loss: 38.9776 - logcount_predictions_loss: 0.2917 364/393 [==========================>...] - ETA: 20s - loss: 39.2661 - logits_profile_predictions_loss: 38.9744 - logcount_predictions_loss: 0.2917 365/393 [==========================>...] - ETA: 20s - loss: 39.2619 - logits_profile_predictions_loss: 38.9703 - logcount_predictions_loss: 0.2917 366/393 [==========================>...] - ETA: 19s - loss: 39.2567 - logits_profile_predictions_loss: 38.9647 - logcount_predictions_loss: 0.2920 367/393 [===========================>..] - ETA: 18s - loss: 39.2568 - logits_profile_predictions_loss: 38.9651 - logcount_predictions_loss: 0.2917 368/393 [===========================>..] - ETA: 18s - loss: 39.2586 - logits_profile_predictions_loss: 38.9668 - logcount_predictions_loss: 0.2918 369/393 [===========================>..] - ETA: 17s - loss: 39.2737 - logits_profile_predictions_loss: 38.9819 - logcount_predictions_loss: 0.2918 370/393 [===========================>..] - ETA: 16s - loss: 39.2978 - logits_profile_predictions_loss: 39.0059 - logcount_predictions_loss: 0.2920 371/393 [===========================>..] - ETA: 15s - loss: 39.3088 - logits_profile_predictions_loss: 39.0170 - logcount_predictions_loss: 0.2918 372/393 [===========================>..] - ETA: 15s - loss: 39.3070 - logits_profile_predictions_loss: 39.0151 - logcount_predictions_loss: 0.2918 373/393 [===========================>..] - ETA: 14s - loss: 39.2958 - logits_profile_predictions_loss: 39.0038 - logcount_predictions_loss: 0.2919 374/393 [===========================>..] - ETA: 13s - loss: 39.2916 - logits_profile_predictions_loss: 38.9999 - logcount_predictions_loss: 0.2917 375/393 [===========================>..] - ETA: 13s - loss: 39.2666 - logits_profile_predictions_loss: 38.9749 - logcount_predictions_loss: 0.2917 376/393 [===========================>..] - ETA: 12s - loss: 39.2651 - logits_profile_predictions_loss: 38.9736 - logcount_predictions_loss: 0.2915 377/393 [===========================>..] - ETA: 11s - loss: 39.2476 - logits_profile_predictions_loss: 38.9559 - logcount_predictions_loss: 0.2916 378/393 [===========================>..] - ETA: 10s - loss: 39.2496 - logits_profile_predictions_loss: 38.9578 - logcount_predictions_loss: 0.2918 379/393 [===========================>..] - ETA: 10s - loss: 39.2363 - logits_profile_predictions_loss: 38.9446 - logcount_predictions_loss: 0.2917 380/393 [============================>.] - ETA: 9s - loss: 39.2315 - logits_profile_predictions_loss: 38.9399 - logcount_predictions_loss: 0.2916  381/393 [============================>.] - ETA: 8s - loss: 39.2342 - logits_profile_predictions_loss: 38.9424 - logcount_predictions_loss: 0.2918 382/393 [============================>.] - ETA: 7s - loss: 39.2538 - logits_profile_predictions_loss: 38.9621 - logcount_predictions_loss: 0.2917 383/393 [============================>.] - ETA: 7s - loss: 39.2546 - logits_profile_predictions_loss: 38.9628 - logcount_predictions_loss: 0.2917 384/393 [============================>.] - ETA: 6s - loss: 39.2454 - logits_profile_predictions_loss: 38.9535 - logcount_predictions_loss: 0.2919 385/393 [============================>.] - ETA: 5s - loss: 39.2566 - logits_profile_predictions_loss: 38.9647 - logcount_predictions_loss: 0.2919 386/393 [============================>.] - ETA: 5s - loss: 39.2729 - logits_profile_predictions_loss: 38.9813 - logcount_predictions_loss: 0.2917 387/393 [============================>.] - ETA: 4s - loss: 39.2565 - logits_profile_predictions_loss: 38.9649 - logcount_predictions_loss: 0.2916 388/393 [============================>.] - ETA: 3s - loss: 39.2535 - logits_profile_predictions_loss: 38.9618 - logcount_predictions_loss: 0.2917 389/393 [============================>.] - ETA: 2s - loss: 39.2367 - logits_profile_predictions_loss: 38.9450 - logcount_predictions_loss: 0.2917 390/393 [============================>.] - ETA: 2s - loss: 39.2372 - logits_profile_predictions_loss: 38.9457 - logcount_predictions_loss: 0.2915 391/393 [============================>.] - ETA: 1s - loss: 39.2367 - logits_profile_predictions_loss: 38.9453 - logcount_predictions_loss: 0.2914 392/393 [============================>.] - ETA: 0s - loss: 39.2470 - logits_profile_predictions_loss: 38.9556 - logcount_predictions_loss: 0.2914 393/393 [==============================] - ETA: 0s - loss: 39.2427 - logits_profile_predictions_loss: 38.9511 - logcount_predictions_loss: 0.2916 Epoch 11: val_loss did not improve from 45.00069 Restoring model weights from the end of the best epoch: 6.  393/393 [==============================] - 295s 750ms/step - loss: 39.2427 - logits_profile_predictions_loss: 38.9511 - logcount_predictions_loss: 0.2916 - val_loss: 45.7332 - val_logits_profile_predictions_loss: 45.4635 - val_logcount_predictions_loss: 0.2698 Epoch 11: early stopping save model save model without bias got the model loading peaks... got split:test for bed regions:(5332, 10) 0/84 MOTIF_NAME MOTIF_PWM_FWD 0 tn5_1 GCACAGTACAGAGCTG 1 tn5_2 GTGCACAGTTCTAGAGTGTGCAG 2 tn5_3 CCTCTACACTGTGCAGAA 3 tn5_4 GCACAGTTCTAGACTGTGCAG 4 tn5_5 CTGCACAGTGTAGAGTTGTGC got the model Model: "model_1" __________________________________________________________________________________________________ Layer (type) Output Shape Param # Connected to ================================================================================================== sequence (InputLayer) [(None, 2114, 4)] 0 [] wo_bias_bpnet_1st_conv (Conv1D (None, 2094, 512) 43520 ['sequence[0][0]'] ) wo_bias_bpnet_1conv (Conv1D) (None, 2090, 512) 786944 ['wo_bias_bpnet_1st_conv[0][0]'] wo_bias_bpnet_1crop (Cropping1 (None, 2090, 512) 0 ['wo_bias_bpnet_1st_conv[0][0]'] D) add (Add) (None, 2090, 512) 0 ['wo_bias_bpnet_1conv[0][0]', 'wo_bias_bpnet_1crop[0][0]'] wo_bias_bpnet_2conv (Conv1D) (None, 2082, 512) 786944 ['add[0][0]'] wo_bias_bpnet_2crop (Cropping1 (None, 2082, 512) 0 ['add[0][0]'] D) add_1 (Add) (None, 2082, 512) 0 ['wo_bias_bpnet_2conv[0][0]', 'wo_bias_bpnet_2crop[0][0]'] wo_bias_bpnet_3conv (Conv1D) (None, 2066, 512) 786944 ['add_1[0][0]'] wo_bias_bpnet_3crop (Cropping1 (None, 2066, 512) 0 ['add_1[0][0]'] D) add_2 (Add) (None, 2066, 512) 0 ['wo_bias_bpnet_3conv[0][0]', 'wo_bias_bpnet_3crop[0][0]'] wo_bias_bpnet_4conv (Conv1D) (None, 2034, 512) 786944 ['add_2[0][0]'] wo_bias_bpnet_4crop (Cropping1 (None, 2034, 512) 0 ['add_2[0][0]'] D) add_3 (Add) (None, 2034, 512) 0 ['wo_bias_bpnet_4conv[0][0]', 'wo_bias_bpnet_4crop[0][0]'] wo_bias_bpnet_5conv (Conv1D) (None, 1970, 512) 786944 ['add_3[0][0]'] wo_bias_bpnet_5crop (Cropping1 (None, 1970, 512) 0 ['add_3[0][0]'] D) add_4 (Add) (None, 1970, 512) 0 ['wo_bias_bpnet_5conv[0][0]', 'wo_bias_bpnet_5crop[0][0]'] wo_bias_bpnet_6conv (Conv1D) (None, 1842, 512) 786944 ['add_4[0][0]'] wo_bias_bpnet_6crop (Cropping1 (None, 1842, 512) 0 ['add_4[0][0]'] D) add_5 (Add) (None, 1842, 512) 0 ['wo_bias_bpnet_6conv[0][0]', 'wo_bias_bpnet_6crop[0][0]'] wo_bias_bpnet_7conv (Conv1D) (None, 1586, 512) 786944 ['add_5[0][0]'] wo_bias_bpnet_7crop (Cropping1 (None, 1586, 512) 0 ['add_5[0][0]'] D) add_6 (Add) (None, 1586, 512) 0 ['wo_bias_bpnet_7conv[0][0]', 'wo_bias_bpnet_7crop[0][0]'] wo_bias_bpnet_8conv (Conv1D) (None, 1074, 512) 786944 ['add_6[0][0]'] wo_bias_bpnet_8crop (Cropping1 (None, 1074, 512) 0 ['add_6[0][0]'] D) add_7 (Add) (None, 1074, 512) 0 ['wo_bias_bpnet_8conv[0][0]', 'wo_bias_bpnet_8crop[0][0]'] wo_bias_bpnet_prof_out_precrop (None, 1000, 1) 38401 ['add_7[0][0]'] (Conv1D) wo_bias_bpnet_logitt_before_fl (None, 1000, 1) 0 ['wo_bias_bpnet_prof_out_precrop[ atten (Cropping1D) 0][0]'] gap (GlobalAveragePooling1D) (None, 512) 0 ['add_7[0][0]'] wo_bias_bpnet_logits_profile_p (None, 1000) 0 ['wo_bias_bpnet_logitt_before_fla redictions (Flatten) tten[0][0]'] wo_bias_bpnet_logcount_predict (None, 1) 513 ['gap[0][0]'] ions (Dense) ================================================================================================== Total params: 6,377,986 Trainable params: 6,377,986 Non-trainable params: 0 __________________________________________________________________________________________________ inferred model inputlen: 2114 inferred model outputlen: 1000 inserting motif: control 1/84 [..............................] - ETA: 25s 2/84 [..............................] - ETA: 18s 3/84 [>.............................] - ETA: 18s 4/84 [>.............................] - ETA: 18s 5/84 [>.............................] - ETA: 17s 6/84 [=>............................] - ETA: 17s 7/84 [=>............................] - ETA: 17s 8/84 [=>............................] - ETA: 17s 9/84 [==>...........................] - ETA: 16s 10/84 [==>...........................] - ETA: 16s 11/84 [==>...........................] - ETA: 16s 12/84 [===>..........................] - ETA: 16s 13/84 [===>..........................] - ETA: 16s 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[============================>.] - ETA: 0s 84/84 [==============================] - ETA: 0s 84/84 [==============================] - 19s 227ms/step 1/84 [..............................] - ETA: 1s 2/84 [..............................] - ETA: 18s 3/84 [>.............................] - ETA: 18s 4/84 [>.............................] - ETA: 18s 5/84 [>.............................] - ETA: 17s 6/84 [=>............................] - ETA: 17s 7/84 [=>............................] - ETA: 17s 8/84 [=>............................] - ETA: 17s 9/84 [==>...........................] - ETA: 16s 10/84 [==>...........................] - ETA: 16s 11/84 [==>...........................] - ETA: 16s 12/84 [===>..........................] - ETA: 16s 13/84 [===>..........................] - ETA: 16s 14/84 [====>.........................] - ETA: 15s 15/84 [====>.........................] - ETA: 15s 16/84 [====>.........................] - ETA: 15s 17/84 [=====>........................] - ETA: 15s 18/84 [=====>........................] - ETA: 14s 19/84 [=====>........................] - ETA: 14s 20/84 [======>.......................] - ETA: 14s 21/84 [======>.......................] - ETA: 14s 22/84 [======>.......................] - ETA: 14s 23/84 [=======>......................] - ETA: 13s 24/84 [=======>......................] - ETA: 13s 25/84 [=======>......................] - ETA: 13s 26/84 [========>.....................] - ETA: 13s 27/84 [========>.....................] - ETA: 12s 28/84 [=========>....................] - ETA: 12s 29/84 [=========>....................] - ETA: 12s 30/84 [=========>....................] - ETA: 12s 31/84 [==========>...................] - ETA: 12s 32/84 [==========>...................] - ETA: 11s 33/84 [==========>...................] - ETA: 11s 34/84 [===========>..................] - ETA: 11s 35/84 [===========>..................] - ETA: 11s 36/84 [===========>..................] - ETA: 10s 37/84 [============>.................] - ETA: 10s 38/84 [============>.................] - ETA: 10s 39/84 [============>.................] - ETA: 10s 40/84 [=============>................] - ETA: 10s 41/84 [=============>................] - ETA: 9s  42/84 [==============>...............] - ETA: 9s 43/84 [==============>...............] - ETA: 9s 44/84 [==============>...............] - ETA: 9s 45/84 [===============>..............] - ETA: 8s 46/84 [===============>..............] - ETA: 8s 47/84 [===============>..............] - ETA: 8s 48/84 [================>.............] - ETA: 8s 49/84 [================>.............] - ETA: 7s 50/84 [================>.............] - ETA: 7s 51/84 [=================>............] - ETA: 7s 52/84 [=================>............] - ETA: 7s 53/84 [=================>............] - ETA: 7s 54/84 [==================>...........] - ETA: 6s 55/84 [==================>...........] - ETA: 6s 56/84 [===================>..........] - ETA: 6s 57/84 [===================>..........] - ETA: 6s 58/84 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[==========================>...] - ETA: 1s 79/84 [===========================>..] - ETA: 1s 80/84 [===========================>..] - ETA: 0s 81/84 [===========================>..] - ETA: 0s 82/84 [============================>.] - ETA: 0s 83/84 [============================>.] - ETA: 0s 84/84 [==============================] - ETA: 0s 84/84 [==============================] - 19s 228ms/step inserting motif: tn5_2 GTGCACAGTTCTAGAGTGTGCAG 1/84 [..............................] - ETA: 1s 2/84 [..............................] - ETA: 18s 3/84 [>.............................] - ETA: 18s 4/84 [>.............................] - ETA: 18s 5/84 [>.............................] - ETA: 17s 6/84 [=>............................] - ETA: 17s 7/84 [=>............................] - ETA: 17s 8/84 [=>............................] - ETA: 17s 9/84 [==>...........................] - ETA: 16s 10/84 [==>...........................] - ETA: 16s 11/84 [==>...........................] - ETA: 16s 12/84 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[==========>...................] - ETA: 11s 33/84 [==========>...................] - ETA: 11s 34/84 [===========>..................] - ETA: 11s 35/84 [===========>..................] - ETA: 11s 36/84 [===========>..................] - ETA: 10s 37/84 [============>.................] - ETA: 10s 38/84 [============>.................] - ETA: 10s 39/84 [============>.................] - ETA: 10s 40/84 [=============>................] - ETA: 9s  41/84 [=============>................] - ETA: 9s 42/84 [==============>...............] - ETA: 9s 43/84 [==============>...............] - ETA: 9s 44/84 [==============>...............] - ETA: 9s 45/84 [===============>..............] - ETA: 8s 46/84 [===============>..............] - ETA: 8s 47/84 [===============>..............] - ETA: 8s 48/84 [================>.............] - ETA: 8s 49/84 [================>.............] - ETA: 7s 50/84 [================>.............] - ETA: 7s 51/84 [=================>............] - ETA: 7s 52/84 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[=>............................] - ETA: 17s 8/84 [=>............................] - ETA: 17s 9/84 [==>...........................] - ETA: 17s 10/84 [==>...........................] - ETA: 16s 11/84 [==>...........................] - ETA: 16s 12/84 [===>..........................] - ETA: 16s 13/84 [===>..........................] - ETA: 16s 14/84 [====>.........................] - ETA: 15s 15/84 [====>.........................] - ETA: 15s 16/84 [====>.........................] - ETA: 15s 17/84 [=====>........................] - ETA: 15s 18/84 [=====>........................] - ETA: 14s 19/84 [=====>........................] - ETA: 14s 20/84 [======>.......................] - ETA: 14s 21/84 [======>.......................] - ETA: 14s 22/84 [======>.......................] - ETA: 14s 23/84 [=======>......................] - ETA: 13s 24/84 [=======>......................] - ETA: 13s 25/84 [=======>......................] - ETA: 13s 26/84 [========>.....................] - ETA: 13s 27/84 [========>.....................] - ETA: 12s 28/84 [=========>....................] - ETA: 12s 29/84 [=========>....................] - ETA: 12s 30/84 [=========>....................] - ETA: 12s 31/84 [==========>...................] - ETA: 12s 32/84 [==========>...................] - ETA: 11s 33/84 [==========>...................] - ETA: 11s 34/84 [===========>..................] - ETA: 11s 35/84 [===========>..................] - ETA: 11s 36/84 [===========>..................] - ETA: 10s 37/84 [============>.................] - ETA: 10s 38/84 [============>.................] - ETA: 10s 39/84 [============>.................] - ETA: 10s 40/84 [=============>................] - ETA: 10s 41/84 [=============>................] - ETA: 9s  42/84 [==============>...............] - ETA: 9s 43/84 [==============>...............] - ETA: 9s 44/84 [==============>...............] - ETA: 9s 45/84 [===============>..............] - ETA: 8s 46/84 [===============>..............] - ETA: 8s 47/84 [===============>..............] - ETA: 8s 48/84 [================>.............] - ETA: 8s 49/84 [================>.............] - ETA: 7s 50/84 [================>.............] - ETA: 7s 51/84 [=================>............] - ETA: 7s 52/84 [=================>............] - ETA: 7s 53/84 [=================>............] - ETA: 7s 54/84 [==================>...........] - ETA: 6s 55/84 [==================>...........] - ETA: 6s 56/84 [===================>..........] - ETA: 6s 57/84 [===================>..........] - ETA: 6s 58/84 [===================>..........] - ETA: 5s 59/84 [====================>.........] - ETA: 5s 60/84 [====================>.........] - ETA: 5s 61/84 [====================>.........] - ETA: 5s 62/84 [=====================>........] - ETA: 5s 63/84 [=====================>........] - ETA: 4s 64/84 [=====================>........] - ETA: 4s 65/84 [======================>.......] - ETA: 4s 66/84 [======================>.......] - ETA: 4s 67/84 [======================>.......] - ETA: 3s 68/84 [=======================>......] - ETA: 3s 69/84 [=======================>......] - ETA: 3s 70/84 [========================>.....] - ETA: 3s 71/84 [========================>.....] - ETA: 2s 72/84 [========================>.....] - ETA: 2s 73/84 [=========================>....] - ETA: 2s 74/84 [=========================>....] - ETA: 2s 75/84 [=========================>....] - ETA: 2s 76/84 [==========================>...] - ETA: 1s 77/84 [==========================>...] - ETA: 1s 78/84 [==========================>...] - ETA: 1s 79/84 [===========================>..] - ETA: 1s 80/84 [===========================>..] - ETA: 0s 81/84 [===========================>..] - ETA: 0s 82/84 [============================>.] - ETA: 0s 83/84 [============================>.] - ETA: 0s 84/84 [==============================] - ETA: 0s 84/84 [==============================] - 19s 228ms/step inserting motif: tn5_3 CCTCTACACTGTGCAGAA 1/84 [..............................] - ETA: 1s 2/84 [..............................] - ETA: 18s 3/84 [>.............................] - ETA: 18s 4/84 [>.............................] - ETA: 18s 5/84 [>.............................] - ETA: 17s 6/84 [=>............................] - ETA: 17s 7/84 [=>............................] - ETA: 17s 8/84 [=>............................] - ETA: 17s 9/84 [==>...........................] - ETA: 17s 10/84 [==>...........................] - ETA: 16s 11/84 [==>...........................] - ETA: 16s 12/84 [===>..........................] - ETA: 16s 13/84 [===>..........................] - ETA: 16s 14/84 [====>.........................] - ETA: 15s 15/84 [====>.........................] - ETA: 15s 16/84 [====>.........................] - ETA: 15s 17/84 [=====>........................] - ETA: 15s 18/84 [=====>........................] - ETA: 15s 19/84 [=====>........................] - ETA: 14s 20/84 [======>.......................] - ETA: 14s 21/84 [======>.......................] - ETA: 14s 22/84 [======>.......................] - ETA: 14s 23/84 [=======>......................] - ETA: 13s 24/84 [=======>......................] - ETA: 13s 25/84 [=======>......................] - ETA: 13s 26/84 [========>.....................] - ETA: 13s 27/84 [========>.....................] - ETA: 12s 28/84 [=========>....................] - ETA: 12s 29/84 [=========>....................] - ETA: 12s 30/84 [=========>....................] - ETA: 12s 31/84 [==========>...................] - ETA: 12s 32/84 [==========>...................] - ETA: 11s 33/84 [==========>...................] - ETA: 11s 34/84 [===========>..................] - ETA: 11s 35/84 [===========>..................] - ETA: 11s 36/84 [===========>..................] - ETA: 10s 37/84 [============>.................] - ETA: 10s 38/84 [============>.................] - ETA: 10s 39/84 [============>.................] - ETA: 10s 40/84 [=============>................] - ETA: 10s 41/84 [=============>................] - ETA: 9s  42/84 [==============>...............] - ETA: 9s 43/84 [==============>...............] - ETA: 9s 44/84 [==============>...............] - ETA: 9s 45/84 [===============>..............] - ETA: 8s 46/84 [===============>..............] - ETA: 8s 47/84 [===============>..............] - ETA: 8s 48/84 [================>.............] - ETA: 8s 49/84 [================>.............] - ETA: 7s 50/84 [================>.............] - ETA: 7s 51/84 [=================>............] - ETA: 7s 52/84 [=================>............] - ETA: 7s 53/84 [=================>............] - ETA: 7s 54/84 [==================>...........] - ETA: 6s 55/84 [==================>...........] - ETA: 6s 56/84 [===================>..........] - ETA: 6s 57/84 [===================>..........] - ETA: 6s 58/84 [===================>..........] - ETA: 5s 59/84 [====================>.........] - ETA: 5s 60/84 [====================>.........] - ETA: 5s 61/84 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[===========================>..] - ETA: 0s 82/84 [============================>.] - ETA: 0s 83/84 [============================>.] - ETA: 0s 84/84 [==============================] - ETA: 0s 84/84 [==============================] - 19s 228ms/step 1/84 [..............................] - ETA: 1s 2/84 [..............................] - ETA: 18s 3/84 [>.............................] - ETA: 18s 4/84 [>.............................] - ETA: 18s 5/84 [>.............................] - ETA: 18s 6/84 [=>............................] - ETA: 17s 7/84 [=>............................] - ETA: 17s 8/84 [=>............................] - ETA: 17s 9/84 [==>...........................] - ETA: 17s 10/84 [==>...........................] - ETA: 16s 11/84 [==>...........................] - ETA: 16s 12/84 [===>..........................] - ETA: 16s 13/84 [===>..........................] - ETA: 16s 14/84 [====>.........................] - ETA: 15s 15/84 [====>.........................] - ETA: 15s 16/84 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[==========================>...] - ETA: 1s 77/84 [==========================>...] - ETA: 1s 78/84 [==========================>...] - ETA: 1s 79/84 [===========================>..] - ETA: 1s 80/84 [===========================>..] - ETA: 0s 81/84 [===========================>..] - ETA: 0s 82/84 [============================>.] - ETA: 0s 83/84 [============================>.] - ETA: 0s 84/84 [==============================] - ETA: 0s 84/84 [==============================] - 19s 228ms/step inserting motif: tn5_4 GCACAGTTCTAGACTGTGCAG 1/84 [..............................] - ETA: 1s 2/84 [..............................] - ETA: 18s 3/84 [>.............................] - ETA: 18s 4/84 [>.............................] - ETA: 18s 5/84 [>.............................] - ETA: 17s 6/84 [=>............................] - ETA: 17s 7/84 [=>............................] - ETA: 17s 8/84 [=>............................] - ETA: 17s 9/84 [==>...........................] - ETA: 17s 10/84 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[=========================>....] - ETA: 2s 75/84 [=========================>....] - ETA: 2s 76/84 [==========================>...] - ETA: 1s 77/84 [==========================>...] - ETA: 1s 78/84 [==========================>...] - ETA: 1s 79/84 [===========================>..] - ETA: 1s 80/84 [===========================>..] - ETA: 0s 81/84 [===========================>..] - ETA: 0s 82/84 [============================>.] - ETA: 0s 83/84 [============================>.] - ETA: 0s 84/84 [==============================] - ETA: 0s 84/84 [==============================] - 19s 228ms/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