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: 46419 evaluating hyperparameters on the following chromosomes ['chr2', 'chr4', 'chr5', 'chr7', 'chr9', 'chr10', 'chr11', 'chr12', 'chr13', 'chr14', 'chr15', 'chr16', 'chr17', 'chr18', 'chr19', 'chr21', 'chr22', 'chrX', 'chrY', 'chr8', 'chr20'] Number of peaks input: 23873 Number of peaks filtered because the input/output is on the edge: 0 Number of peaks being used: 23873 Number of peaks input: 6452 Number of peaks filtered because the input/output is on the edge: 0 Number of peaks being used: 6452 Number of non peaks input: 47746 Number of non peaks filtered because the input/output is on the edge: 0 Number of non peaks being used: 47746 Number of non peaks input: 6452 Number of non peaks filtered because the input/output is on the edge: 0 Number of non peaks being used: 6452 Number of peaks after removing outliers: 23870 Number of nonpeaks after removing outliers: 10720 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 1/335 [..............................] - ETA: 11:35 10/335 [..............................] - ETA: 1s  19/335 [>.............................] - ETA: 1s 27/335 [=>............................] - ETA: 1s 36/335 [==>...........................] - ETA: 1s 45/335 [===>..........................] - ETA: 1s 54/335 [===>..........................] - ETA: 1s 63/335 [====>.........................] - ETA: 1s 72/335 [=====>........................] - ETA: 1s 81/335 [======>.......................] - ETA: 1s 90/335 [=======>......................] - ETA: 1s 99/335 [=======>......................] - ETA: 1s 108/335 [========>.....................] - ETA: 1s 117/335 [=========>....................] - 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[=========================>....] - ETA: 0s 306/335 [==========================>...] - ETA: 0s 315/335 [===========================>..] - ETA: 0s 324/335 [============================>.] - ETA: 0s 333/335 [============================>.] - ETA: 0s 335/335 [==============================] - 4s 6ms/step got the model loading peaks... got split:test for bed regions:(6452, 10) 0/101 100/101 Bias model pearsonr performance in peaks is: -0.16 {'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_0/models/bias_model_scaled.h5', 'inputlen': '2114', 'outputlen': '1000', 'max_jitter': '500', 'chr_fold_path': '/oak/stanford/groups/akundaje/soumyak/refs/hg38/splits/fold_0.json', 'negative_sampling_ratio': '0.1'} got the model loading peaks... got split:train for bed regions:(21673, 10) loading nonpeaks... got split:train for bed regions:(9799, 10) loading peaks... got split:valid for bed regions:(2197, 10) loading nonpeaks... got split:valid for bed regions:(921, 10) Epoch 1/50 1/373 [..............................] - ETA: 30:14 - loss: 56.2161 - logits_profile_predictions_loss: 55.0596 - logcount_predictions_loss: 1.1565 2/373 [..............................] - ETA: 1:55 - loss: 1148.2456 - logits_profile_predictions_loss: 53.3444 - logcount_predictions_loss: 1094.9012 3/373 [..............................] - ETA: 1:54 - loss: 780.4336 - logits_profile_predictions_loss: 50.2825 - logcount_predictions_loss: 730.1511  4/373 [..............................] - ETA: 1:53 - loss: 596.0805 - logits_profile_predictions_loss: 48.1888 - logcount_predictions_loss: 547.8917 5/373 [..............................] - ETA: 1:53 - loss: 486.4552 - logits_profile_predictions_loss: 47.8457 - logcount_predictions_loss: 438.6095 6/373 [..............................] - ETA: 1:52 - loss: 413.2917 - logits_profile_predictions_loss: 47.5427 - logcount_predictions_loss: 365.7491 7/373 [..............................] - ETA: 1:52 - loss: 360.6451 - logits_profile_predictions_loss: 46.9425 - logcount_predictions_loss: 313.7026 8/373 [..............................] - ETA: 1:51 - loss: 320.4946 - logits_profile_predictions_loss: 45.8577 - logcount_predictions_loss: 274.6369 9/373 [..............................] - ETA: 1:51 - loss: 290.1544 - logits_profile_predictions_loss: 45.8494 - logcount_predictions_loss: 244.3050 10/373 [..............................] - ETA: 1:51 - loss: 265.5231 - logits_profile_predictions_loss: 45.5058 - logcount_predictions_loss: 220.0173 11/373 [..............................] - ETA: 1:50 - loss: 244.9126 - logits_profile_predictions_loss: 44.7935 - logcount_predictions_loss: 200.1191 12/373 [..............................] - ETA: 1:50 - loss: 228.2909 - logits_profile_predictions_loss: 44.7127 - logcount_predictions_loss: 183.5782 13/373 [>.............................] - ETA: 1:50 - loss: 214.2310 - logits_profile_predictions_loss: 44.6548 - logcount_predictions_loss: 169.5762 14/373 [>.............................] - ETA: 1:49 - loss: 201.8929 - logits_profile_predictions_loss: 44.3349 - logcount_predictions_loss: 157.5580 15/373 [>.............................] - ETA: 1:49 - loss: 191.2829 - logits_profile_predictions_loss: 44.1307 - logcount_predictions_loss: 147.1523 16/373 [>.............................] - ETA: 1:48 - loss: 182.0466 - logits_profile_predictions_loss: 44.0047 - logcount_predictions_loss: 138.0419 17/373 [>.............................] - ETA: 1:48 - loss: 173.7561 - logits_profile_predictions_loss: 43.7546 - logcount_predictions_loss: 130.0016 18/373 [>.............................] - ETA: 1:48 - loss: 166.6220 - logits_profile_predictions_loss: 43.7544 - logcount_predictions_loss: 122.8676 19/373 [>.............................] - ETA: 1:47 - loss: 160.0860 - logits_profile_predictions_loss: 43.6057 - logcount_predictions_loss: 116.4803 20/373 [>.............................] - ETA: 1:47 - loss: 154.0152 - logits_profile_predictions_loss: 43.2977 - logcount_predictions_loss: 110.7175 21/373 [>.............................] - ETA: 1:47 - loss: 148.6901 - logits_profile_predictions_loss: 43.1766 - logcount_predictions_loss: 105.5135 22/373 [>.............................] - ETA: 1:47 - loss: 144.2298 - logits_profile_predictions_loss: 43.4275 - logcount_predictions_loss: 100.8023 23/373 [>.............................] - ETA: 1:46 - loss: 139.9559 - logits_profile_predictions_loss: 43.4669 - logcount_predictions_loss: 96.4890  24/373 [>.............................] - ETA: 1:46 - loss: 136.0866 - logits_profile_predictions_loss: 43.5471 - logcount_predictions_loss: 92.5395 25/373 [=>............................] - ETA: 1:46 - loss: 132.2512 - logits_profile_predictions_loss: 43.3620 - logcount_predictions_loss: 88.8892 26/373 [=>............................] - ETA: 1:45 - loss: 129.0453 - logits_profile_predictions_loss: 43.5111 - logcount_predictions_loss: 85.5342 27/373 [=>............................] - ETA: 1:45 - loss: 126.0349 - logits_profile_predictions_loss: 43.6035 - logcount_predictions_loss: 82.4314 28/373 [=>............................] - ETA: 1:45 - loss: 123.1279 - logits_profile_predictions_loss: 43.5866 - logcount_predictions_loss: 79.5413 29/373 [=>............................] - ETA: 1:44 - loss: 120.5547 - logits_profile_predictions_loss: 43.6939 - logcount_predictions_loss: 76.8608 30/373 [=>............................] - ETA: 1:44 - loss: 118.0221 - logits_profile_predictions_loss: 43.6722 - logcount_predictions_loss: 74.3499 31/373 [=>............................] - ETA: 1:44 - loss: 115.6589 - logits_profile_predictions_loss: 43.6551 - logcount_predictions_loss: 72.0038 32/373 [=>............................] - ETA: 1:44 - loss: 113.4961 - logits_profile_predictions_loss: 43.6887 - logcount_predictions_loss: 69.8074 33/373 [=>............................] - ETA: 1:43 - loss: 111.6432 - logits_profile_predictions_loss: 43.8946 - logcount_predictions_loss: 67.7486 34/373 [=>............................] - ETA: 1:43 - loss: 109.5995 - logits_profile_predictions_loss: 43.8066 - logcount_predictions_loss: 65.7929 35/373 [=>............................] - ETA: 1:43 - loss: 107.6630 - logits_profile_predictions_loss: 43.7100 - logcount_predictions_loss: 63.9530 36/373 [=>............................] - ETA: 1:42 - loss: 105.8777 - logits_profile_predictions_loss: 43.6622 - logcount_predictions_loss: 62.2155 37/373 [=>............................] - ETA: 1:42 - loss: 104.2773 - logits_profile_predictions_loss: 43.6984 - logcount_predictions_loss: 60.5789 38/373 [==>...........................] - ETA: 1:42 - loss: 102.7707 - logits_profile_predictions_loss: 43.7429 - logcount_predictions_loss: 59.0279 39/373 [==>...........................] - ETA: 1:41 - loss: 101.2307 - logits_profile_predictions_loss: 43.6833 - logcount_predictions_loss: 57.5474 40/373 [==>...........................] - ETA: 1:41 - loss: 99.7633 - logits_profile_predictions_loss: 43.6161 - logcount_predictions_loss: 56.1472  41/373 [==>...........................] - ETA: 1:41 - loss: 98.4449 - logits_profile_predictions_loss: 43.6283 - logcount_predictions_loss: 54.8166 42/373 [==>...........................] - ETA: 1:41 - loss: 97.0256 - logits_profile_predictions_loss: 43.4852 - logcount_predictions_loss: 53.5404 43/373 [==>...........................] - ETA: 1:40 - loss: 95.7328 - logits_profile_predictions_loss: 43.4055 - logcount_predictions_loss: 52.3273 44/373 [==>...........................] - ETA: 1:40 - loss: 94.4826 - logits_profile_predictions_loss: 43.3135 - logcount_predictions_loss: 51.1691 45/373 [==>...........................] - ETA: 1:40 - loss: 93.4030 - logits_profile_predictions_loss: 43.3355 - logcount_predictions_loss: 50.0676 46/373 [==>...........................] - ETA: 1:39 - loss: 92.4153 - logits_profile_predictions_loss: 43.3967 - logcount_predictions_loss: 49.0186 47/373 [==>...........................] - ETA: 1:39 - loss: 91.2654 - logits_profile_predictions_loss: 43.2654 - logcount_predictions_loss: 48.0000 48/373 [==>...........................] - ETA: 1:39 - loss: 90.2753 - logits_profile_predictions_loss: 43.2443 - logcount_predictions_loss: 47.0310 49/373 [==>...........................] - ETA: 1:39 - loss: 89.3862 - logits_profile_predictions_loss: 43.2800 - logcount_predictions_loss: 46.1062 50/373 [===>..........................] - ETA: 1:38 - loss: 88.4795 - logits_profile_predictions_loss: 43.2656 - logcount_predictions_loss: 45.2138 51/373 [===>..........................] - ETA: 1:38 - loss: 87.8240 - logits_profile_predictions_loss: 43.4557 - logcount_predictions_loss: 44.3682 52/373 [===>..........................] - ETA: 1:38 - loss: 87.0033 - logits_profile_predictions_loss: 43.4580 - logcount_predictions_loss: 43.5454 53/373 [===>..........................] - ETA: 1:38 - loss: 86.3045 - logits_profile_predictions_loss: 43.5466 - logcount_predictions_loss: 42.7579 54/373 [===>..........................] - ETA: 1:37 - loss: 85.7095 - logits_profile_predictions_loss: 43.7057 - logcount_predictions_loss: 42.0038 55/373 [===>..........................] - ETA: 1:37 - loss: 84.9903 - logits_profile_predictions_loss: 43.7213 - logcount_predictions_loss: 41.2690 56/373 [===>..........................] - ETA: 1:37 - loss: 84.2709 - logits_profile_predictions_loss: 43.7106 - logcount_predictions_loss: 40.5603 57/373 [===>..........................] - ETA: 1:37 - loss: 83.5663 - logits_profile_predictions_loss: 43.6917 - logcount_predictions_loss: 39.8746 58/373 [===>..........................] - ETA: 1:37 - loss: 82.9462 - logits_profile_predictions_loss: 43.7284 - logcount_predictions_loss: 39.2178 59/373 [===>..........................] - ETA: 1:36 - loss: 82.3138 - logits_profile_predictions_loss: 43.7353 - logcount_predictions_loss: 38.5785 60/373 [===>..........................] - ETA: 1:36 - loss: 81.7108 - logits_profile_predictions_loss: 43.7483 - logcount_predictions_loss: 37.9625 61/373 [===>..........................] - ETA: 1:36 - loss: 81.1791 - logits_profile_predictions_loss: 43.8104 - logcount_predictions_loss: 37.3688 62/373 [===>..........................] - ETA: 1:36 - loss: 80.5369 - logits_profile_predictions_loss: 43.7493 - logcount_predictions_loss: 36.7877 63/373 [====>.........................] - ETA: 1:35 - loss: 79.8627 - logits_profile_predictions_loss: 43.6415 - logcount_predictions_loss: 36.2212 64/373 [====>.........................] - ETA: 1:35 - loss: 79.3708 - logits_profile_predictions_loss: 43.6867 - logcount_predictions_loss: 35.6842 65/373 [====>.........................] - ETA: 1:35 - loss: 78.8146 - logits_profile_predictions_loss: 43.6573 - logcount_predictions_loss: 35.1573 66/373 [====>.........................] - ETA: 1:35 - loss: 78.3609 - logits_profile_predictions_loss: 43.7090 - logcount_predictions_loss: 34.6519 67/373 [====>.........................] - ETA: 1:35 - loss: 77.7595 - logits_profile_predictions_loss: 43.6060 - logcount_predictions_loss: 34.1535 68/373 [====>.........................] - ETA: 1:35 - loss: 77.2192 - logits_profile_predictions_loss: 43.5488 - logcount_predictions_loss: 33.6704 69/373 [====>.........................] - ETA: 1:35 - loss: 76.6846 - logits_profile_predictions_loss: 43.4838 - logcount_predictions_loss: 33.2008 70/373 [====>.........................] - ETA: 1:34 - loss: 76.1921 - logits_profile_predictions_loss: 43.4449 - logcount_predictions_loss: 32.7473 71/373 [====>.........................] - ETA: 1:34 - loss: 75.8697 - logits_profile_predictions_loss: 43.5561 - logcount_predictions_loss: 32.3136 72/373 [====>.........................] - ETA: 1:34 - loss: 75.3892 - logits_profile_predictions_loss: 43.5033 - logcount_predictions_loss: 31.8858 73/373 [====>.........................] - ETA: 1:34 - loss: 74.9964 - logits_profile_predictions_loss: 43.5251 - logcount_predictions_loss: 31.4713 74/373 [====>.........................] - ETA: 1:34 - loss: 74.6916 - logits_profile_predictions_loss: 43.6178 - logcount_predictions_loss: 31.0738 75/373 [=====>........................] - ETA: 1:33 - loss: 74.3756 - logits_profile_predictions_loss: 43.6908 - logcount_predictions_loss: 30.6847 76/373 [=====>........................] - ETA: 1:33 - loss: 73.9686 - logits_profile_predictions_loss: 43.6685 - logcount_predictions_loss: 30.3002 77/373 [=====>........................] - ETA: 1:33 - loss: 73.5575 - logits_profile_predictions_loss: 43.6312 - logcount_predictions_loss: 29.9263 78/373 [=====>........................] - ETA: 1:33 - loss: 73.1329 - logits_profile_predictions_loss: 43.5730 - logcount_predictions_loss: 29.5598 79/373 [=====>........................] - ETA: 1:32 - loss: 72.8387 - logits_profile_predictions_loss: 43.6284 - logcount_predictions_loss: 29.2103 80/373 [=====>........................] - ETA: 1:32 - loss: 72.4253 - logits_profile_predictions_loss: 43.5635 - logcount_predictions_loss: 28.8618 81/373 [=====>........................] - ETA: 1:32 - loss: 72.0917 - logits_profile_predictions_loss: 43.5661 - logcount_predictions_loss: 28.5256 82/373 [=====>........................] - ETA: 1:32 - loss: 71.7340 - logits_profile_predictions_loss: 43.5386 - logcount_predictions_loss: 28.1954 83/373 [=====>........................] - ETA: 1:32 - loss: 71.4166 - logits_profile_predictions_loss: 43.5433 - logcount_predictions_loss: 27.8734 84/373 [=====>........................] - ETA: 1:32 - loss: 71.0896 - logits_profile_predictions_loss: 43.5291 - logcount_predictions_loss: 27.5604 85/373 [=====>........................] - ETA: 1:31 - loss: 70.8040 - logits_profile_predictions_loss: 43.5489 - logcount_predictions_loss: 27.2551 86/373 [=====>........................] - ETA: 1:31 - loss: 70.5289 - logits_profile_predictions_loss: 43.5706 - logcount_predictions_loss: 26.9582 87/373 [=====>........................] - ETA: 1:31 - loss: 70.2184 - logits_profile_predictions_loss: 43.5533 - logcount_predictions_loss: 26.6651 88/373 [======>.......................] - ETA: 1:31 - loss: 69.9042 - logits_profile_predictions_loss: 43.5276 - logcount_predictions_loss: 26.3766 89/373 [======>.......................] - ETA: 1:31 - loss: 69.5933 - logits_profile_predictions_loss: 43.4971 - logcount_predictions_loss: 26.0961 90/373 [======>.......................] - ETA: 1:31 - loss: 69.2481 - logits_profile_predictions_loss: 43.4282 - logcount_predictions_loss: 25.8199 91/373 [======>.......................] - ETA: 1:31 - loss: 68.8760 - logits_profile_predictions_loss: 43.3286 - logcount_predictions_loss: 25.5474 92/373 [======>.......................] - ETA: 1:30 - loss: 68.6283 - logits_profile_predictions_loss: 43.3403 - logcount_predictions_loss: 25.2880 93/373 [======>.......................] - ETA: 1:30 - loss: 68.3904 - logits_profile_predictions_loss: 43.3555 - logcount_predictions_loss: 25.0349 94/373 [======>.......................] - ETA: 1:30 - loss: 68.1067 - logits_profile_predictions_loss: 43.3237 - logcount_predictions_loss: 24.7830 95/373 [======>.......................] - ETA: 1:30 - loss: 67.8741 - logits_profile_predictions_loss: 43.3326 - logcount_predictions_loss: 24.5415 96/373 [======>.......................] - ETA: 1:29 - loss: 67.6340 - logits_profile_predictions_loss: 43.3327 - logcount_predictions_loss: 24.3013 97/373 [======>.......................] - ETA: 1:29 - loss: 67.3837 - logits_profile_predictions_loss: 43.3169 - logcount_predictions_loss: 24.0668 98/373 [======>.......................] - ETA: 1:29 - loss: 67.1103 - logits_profile_predictions_loss: 43.2751 - logcount_predictions_loss: 23.8352 99/373 [======>.......................] - ETA: 1:29 - loss: 66.9136 - logits_profile_predictions_loss: 43.3027 - logcount_predictions_loss: 23.6108 100/373 [=======>......................] - ETA: 1:29 - loss: 66.6391 - logits_profile_predictions_loss: 43.2514 - logcount_predictions_loss: 23.3877 101/373 [=======>......................] - ETA: 1:29 - loss: 66.3540 - logits_profile_predictions_loss: 43.1864 - logcount_predictions_loss: 23.1675 102/373 [=======>......................] - ETA: 1:29 - loss: 66.0615 - logits_profile_predictions_loss: 43.1102 - logcount_predictions_loss: 22.9512 103/373 [=======>......................] - ETA: 1:29 - loss: 65.9062 - logits_profile_predictions_loss: 43.1604 - logcount_predictions_loss: 22.7458 104/373 [=======>......................] - ETA: 1:29 - loss: 65.6883 - logits_profile_predictions_loss: 43.1467 - logcount_predictions_loss: 22.5416 105/373 [=======>......................] - ETA: 1:29 - loss: 65.4586 - logits_profile_predictions_loss: 43.1189 - logcount_predictions_loss: 22.3397 106/373 [=======>......................] - ETA: 1:28 - loss: 65.1793 - 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/oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.endocardial.In/fold_0/models/chrombpnet.h5  373/373 [==============================] - 207s 542ms/step - loss: 49.3832 - logits_profile_predictions_loss: 42.4919 - logcount_predictions_loss: 6.8913 - val_loss: 44.1199 - val_logits_profile_predictions_loss: 43.5785 - val_logcount_predictions_loss: 0.5414 Epoch 2/50 1/373 [..............................] - ETA: 2:19 - loss: 37.7766 - logits_profile_predictions_loss: 37.3466 - logcount_predictions_loss: 0.4299 2/373 [..............................] - ETA: 3:04 - loss: 41.1100 - logits_profile_predictions_loss: 40.5538 - logcount_predictions_loss: 0.5562 3/373 [..............................] - ETA: 3:46 - loss: 43.9569 - logits_profile_predictions_loss: 43.3316 - logcount_predictions_loss: 0.6253 4/373 [..............................] - ETA: 3:46 - loss: 44.0037 - logits_profile_predictions_loss: 43.3999 - 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[============================>.] - ETA: 3s - loss: 42.1961 - logits_profile_predictions_loss: 41.7297 - logcount_predictions_loss: 0.4664 368/373 [============================>.] - ETA: 3s - loss: 42.1959 - logits_profile_predictions_loss: 41.7298 - logcount_predictions_loss: 0.4662 369/373 [============================>.] - ETA: 2s - loss: 42.1899 - logits_profile_predictions_loss: 41.7239 - logcount_predictions_loss: 0.4660 370/373 [============================>.] - ETA: 1s - loss: 42.1903 - logits_profile_predictions_loss: 41.7246 - logcount_predictions_loss: 0.4657 371/373 [============================>.] - ETA: 1s - loss: 42.1979 - logits_profile_predictions_loss: 41.7323 - logcount_predictions_loss: 0.4657 372/373 [============================>.] - ETA: 0s - loss: 42.1869 - logits_profile_predictions_loss: 41.7218 - logcount_predictions_loss: 0.4651 373/373 [==============================] - ETA: 0s - loss: 42.1831 - logits_profile_predictions_loss: 41.7182 - logcount_predictions_loss: 0.4649 Epoch 2: val_loss improved from 44.11987 to 43.77007, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.endocardial.In/fold_0/models/chrombpnet.h5  373/373 [==============================] - 254s 681ms/step - loss: 42.1831 - logits_profile_predictions_loss: 41.7182 - logcount_predictions_loss: 0.4649 - val_loss: 43.7701 - val_logits_profile_predictions_loss: 43.4384 - val_logcount_predictions_loss: 0.3317 Epoch 3/50 1/373 [..............................] - ETA: 2:00 - loss: 43.2228 - logits_profile_predictions_loss: 42.8464 - logcount_predictions_loss: 0.3764 2/373 [..............................] - ETA: 1:58 - loss: 41.9793 - logits_profile_predictions_loss: 41.6799 - logcount_predictions_loss: 0.2993 3/373 [..............................] - ETA: 2:02 - loss: 42.5007 - logits_profile_predictions_loss: 42.1902 - logcount_predictions_loss: 0.3104 4/373 [..............................] - ETA: 2:02 - loss: 41.7600 - logits_profile_predictions_loss: 41.4403 - logcount_predictions_loss: 0.3197 5/373 [..............................] - ETA: 2:05 - loss: 42.2296 - logits_profile_predictions_loss: 41.8589 - logcount_predictions_loss: 0.3707 6/373 [..............................] - ETA: 2:12 - loss: 41.5415 - logits_profile_predictions_loss: 41.1753 - logcount_predictions_loss: 0.3662 7/373 [..............................] - ETA: 2:15 - loss: 41.7099 - logits_profile_predictions_loss: 41.3294 - logcount_predictions_loss: 0.3805 8/373 [..............................] - ETA: 2:16 - loss: 41.9824 - logits_profile_predictions_loss: 41.5942 - logcount_predictions_loss: 0.3883 9/373 [..............................] - ETA: 2:16 - loss: 41.3971 - logits_profile_predictions_loss: 41.0260 - logcount_predictions_loss: 0.3711 10/373 [..............................] - ETA: 2:17 - loss: 41.1913 - logits_profile_predictions_loss: 40.8166 - 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[=>............................] - ETA: 2:48 - loss: 41.1359 - logits_profile_predictions_loss: 40.7739 - logcount_predictions_loss: 0.3619 32/373 [=>............................] - ETA: 2:49 - loss: 41.2763 - logits_profile_predictions_loss: 40.9144 - logcount_predictions_loss: 0.3619 33/373 [=>............................] - ETA: 2:50 - loss: 41.1991 - logits_profile_predictions_loss: 40.8386 - logcount_predictions_loss: 0.3605 34/373 [=>............................] - ETA: 2:51 - loss: 41.2244 - logits_profile_predictions_loss: 40.8645 - logcount_predictions_loss: 0.3599 35/373 [=>............................] - ETA: 2:51 - loss: 41.1057 - logits_profile_predictions_loss: 40.7459 - logcount_predictions_loss: 0.3598 36/373 [=>............................] - ETA: 2:51 - loss: 41.1637 - logits_profile_predictions_loss: 40.8016 - logcount_predictions_loss: 0.3621 37/373 [=>............................] - ETA: 2:52 - loss: 41.2304 - logits_profile_predictions_loss: 40.8680 - 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[===>..........................] - ETA: 2:54 - loss: 41.1209 - logits_profile_predictions_loss: 40.7466 - logcount_predictions_loss: 0.3743 59/373 [===>..........................] - ETA: 2:53 - loss: 41.0617 - logits_profile_predictions_loss: 40.6838 - logcount_predictions_loss: 0.3779 60/373 [===>..........................] - ETA: 2:54 - loss: 40.9997 - logits_profile_predictions_loss: 40.6191 - logcount_predictions_loss: 0.3806 61/373 [===>..........................] - ETA: 2:54 - loss: 41.1448 - logits_profile_predictions_loss: 40.7560 - logcount_predictions_loss: 0.3888 62/373 [===>..........................] - ETA: 2:53 - loss: 41.1533 - logits_profile_predictions_loss: 40.7622 - logcount_predictions_loss: 0.3911 63/373 [====>.........................] - ETA: 2:53 - loss: 41.1567 - logits_profile_predictions_loss: 40.7654 - logcount_predictions_loss: 0.3914 64/373 [====>.........................] - ETA: 2:53 - loss: 41.1415 - logits_profile_predictions_loss: 40.7483 - 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[==============================] - ETA: 0s - loss: 41.8213 - logits_profile_predictions_loss: 41.4375 - logcount_predictions_loss: 0.3838 Epoch 3: val_loss improved from 43.77007 to 43.68789, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.endocardial.In/fold_0/models/chrombpnet.h5  373/373 [==============================] - 246s 660ms/step - loss: 41.8213 - logits_profile_predictions_loss: 41.4375 - logcount_predictions_loss: 0.3838 - val_loss: 43.6879 - val_logits_profile_predictions_loss: 43.3689 - val_logcount_predictions_loss: 0.3190 Epoch 4/50 1/373 [..............................] - ETA: 2:17 - loss: 46.1459 - logits_profile_predictions_loss: 45.7735 - logcount_predictions_loss: 0.3724 2/373 [..............................] - ETA: 3:15 - loss: 40.6641 - logits_profile_predictions_loss: 40.3285 - logcount_predictions_loss: 0.3356 3/373 [..............................] - ETA: 3:20 - loss: 40.2989 - 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[>.............................] - ETA: 3:18 - loss: 40.7396 - logits_profile_predictions_loss: 40.4264 - logcount_predictions_loss: 0.3132 24/373 [>.............................] - ETA: 3:17 - loss: 40.8729 - logits_profile_predictions_loss: 40.5607 - logcount_predictions_loss: 0.3122 25/373 [=>............................] - ETA: 3:18 - loss: 40.9202 - logits_profile_predictions_loss: 40.6077 - logcount_predictions_loss: 0.3126 26/373 [=>............................] - ETA: 3:19 - loss: 40.9967 - logits_profile_predictions_loss: 40.6855 - logcount_predictions_loss: 0.3112 27/373 [=>............................] - ETA: 3:19 - loss: 40.8294 - logits_profile_predictions_loss: 40.5205 - logcount_predictions_loss: 0.3089 28/373 [=>............................] - ETA: 3:19 - loss: 40.8865 - logits_profile_predictions_loss: 40.5772 - logcount_predictions_loss: 0.3093 29/373 [=>............................] - ETA: 3:19 - loss: 41.0327 - logits_profile_predictions_loss: 40.7220 - 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[===>..........................] - ETA: 3:15 - loss: 41.2550 - logits_profile_predictions_loss: 40.9224 - logcount_predictions_loss: 0.3326 51/373 [===>..........................] - ETA: 3:14 - loss: 41.2461 - logits_profile_predictions_loss: 40.9140 - logcount_predictions_loss: 0.3321 52/373 [===>..........................] - ETA: 3:14 - loss: 41.2966 - logits_profile_predictions_loss: 40.9663 - logcount_predictions_loss: 0.3304 53/373 [===>..........................] - ETA: 3:13 - loss: 41.3360 - logits_profile_predictions_loss: 41.0063 - logcount_predictions_loss: 0.3297 54/373 [===>..........................] - ETA: 3:13 - loss: 41.3330 - logits_profile_predictions_loss: 41.0035 - logcount_predictions_loss: 0.3295 55/373 [===>..........................] - ETA: 3:12 - loss: 41.2440 - logits_profile_predictions_loss: 40.9138 - logcount_predictions_loss: 0.3302 56/373 [===>..........................] - ETA: 3:12 - loss: 41.1109 - logits_profile_predictions_loss: 40.7819 - 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[============================>.] - ETA: 5s - loss: 41.1423 - logits_profile_predictions_loss: 40.8055 - logcount_predictions_loss: 0.3369 366/373 [============================>.] - ETA: 4s - loss: 41.1340 - logits_profile_predictions_loss: 40.7972 - logcount_predictions_loss: 0.3367 367/373 [============================>.] - ETA: 3s - loss: 41.1319 - logits_profile_predictions_loss: 40.7953 - logcount_predictions_loss: 0.3366 368/373 [============================>.] - ETA: 3s - loss: 41.1297 - logits_profile_predictions_loss: 40.7931 - logcount_predictions_loss: 0.3366 369/373 [============================>.] - ETA: 2s - loss: 41.1265 - logits_profile_predictions_loss: 40.7901 - logcount_predictions_loss: 0.3364 370/373 [============================>.] - ETA: 1s - loss: 41.1357 - logits_profile_predictions_loss: 40.7993 - logcount_predictions_loss: 0.3364 371/373 [============================>.] - ETA: 1s - loss: 41.1403 - logits_profile_predictions_loss: 40.8035 - logcount_predictions_loss: 0.3368 372/373 [============================>.] - ETA: 0s - loss: 41.1354 - logits_profile_predictions_loss: 40.7988 - logcount_predictions_loss: 0.3366 373/373 [==============================] - ETA: 0s - loss: 41.1362 - logits_profile_predictions_loss: 40.7995 - logcount_predictions_loss: 0.3366 Epoch 5: val_loss improved from 43.29799 to 43.19862, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.endocardial.In/fold_0/models/chrombpnet.h5  373/373 [==============================] - 252s 678ms/step - loss: 41.1362 - logits_profile_predictions_loss: 40.7995 - logcount_predictions_loss: 0.3366 - val_loss: 43.1986 - val_logits_profile_predictions_loss: 42.8651 - val_logcount_predictions_loss: 0.3336 Epoch 6/50 1/373 [..............................] - ETA: 2:03 - loss: 48.4646 - logits_profile_predictions_loss: 48.0565 - logcount_predictions_loss: 0.4081 2/373 [..............................] - ETA: 2:25 - loss: 42.3687 - logits_profile_predictions_loss: 42.0216 - logcount_predictions_loss: 0.3470 3/373 [..............................] - ETA: 2:30 - loss: 42.4556 - logits_profile_predictions_loss: 42.0906 - logcount_predictions_loss: 0.3650 4/373 [..............................] - ETA: 2:56 - loss: 42.3924 - logits_profile_predictions_loss: 42.0468 - logcount_predictions_loss: 0.3456 5/373 [..............................] - ETA: 3:18 - loss: 42.9088 - logits_profile_predictions_loss: 42.5752 - logcount_predictions_loss: 0.3336 6/373 [..............................] - ETA: 3:19 - loss: 43.3885 - logits_profile_predictions_loss: 43.0490 - logcount_predictions_loss: 0.3395 7/373 [..............................] - ETA: 3:19 - loss: 41.9627 - logits_profile_predictions_loss: 41.6123 - logcount_predictions_loss: 0.3504 8/373 [..............................] - ETA: 3:19 - loss: 42.3344 - logits_profile_predictions_loss: 41.9861 - logcount_predictions_loss: 0.3483 9/373 [..............................] - ETA: 3:20 - loss: 42.1434 - logits_profile_predictions_loss: 41.7916 - logcount_predictions_loss: 0.3518 10/373 [..............................] - ETA: 3:19 - loss: 41.6904 - logits_profile_predictions_loss: 41.3449 - logcount_predictions_loss: 0.3455 11/373 [..............................] - ETA: 3:25 - loss: 41.4553 - logits_profile_predictions_loss: 41.1127 - logcount_predictions_loss: 0.3426 12/373 [..............................] - ETA: 3:27 - loss: 41.6867 - logits_profile_predictions_loss: 41.3447 - logcount_predictions_loss: 0.3420 13/373 [>.............................] - ETA: 3:27 - loss: 41.8475 - logits_profile_predictions_loss: 41.5027 - logcount_predictions_loss: 0.3449 14/373 [>.............................] - ETA: 3:27 - loss: 41.4190 - logits_profile_predictions_loss: 41.0838 - logcount_predictions_loss: 0.3353 15/373 [>.............................] - ETA: 3:27 - loss: 41.1195 - logits_profile_predictions_loss: 40.7799 - logcount_predictions_loss: 0.3396 16/373 [>.............................] - ETA: 3:27 - loss: 41.0293 - logits_profile_predictions_loss: 40.6924 - logcount_predictions_loss: 0.3369 17/373 [>.............................] - ETA: 3:27 - loss: 41.2425 - logits_profile_predictions_loss: 40.9071 - logcount_predictions_loss: 0.3354 18/373 [>.............................] - ETA: 3:27 - loss: 41.6142 - logits_profile_predictions_loss: 41.2810 - logcount_predictions_loss: 0.3331 19/373 [>.............................] - ETA: 3:28 - loss: 41.5633 - logits_profile_predictions_loss: 41.2358 - logcount_predictions_loss: 0.3275 20/373 [>.............................] - ETA: 3:28 - loss: 41.5848 - logits_profile_predictions_loss: 41.2533 - logcount_predictions_loss: 0.3315 21/373 [>.............................] - ETA: 3:29 - loss: 41.4926 - logits_profile_predictions_loss: 41.1635 - logcount_predictions_loss: 0.3291 22/373 [>.............................] - 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[=>............................] - ETA: 3:31 - loss: 41.1388 - logits_profile_predictions_loss: 40.8092 - logcount_predictions_loss: 0.3296 30/373 [=>............................] - ETA: 3:31 - loss: 41.2533 - logits_profile_predictions_loss: 40.9224 - logcount_predictions_loss: 0.3309 31/373 [=>............................] - ETA: 3:30 - loss: 41.1549 - logits_profile_predictions_loss: 40.8273 - logcount_predictions_loss: 0.3276 32/373 [=>............................] - ETA: 3:30 - loss: 41.0582 - logits_profile_predictions_loss: 40.7338 - logcount_predictions_loss: 0.3244 33/373 [=>............................] - ETA: 3:29 - loss: 41.0262 - logits_profile_predictions_loss: 40.7047 - logcount_predictions_loss: 0.3215 34/373 [=>............................] - ETA: 3:29 - loss: 41.0460 - logits_profile_predictions_loss: 40.7250 - logcount_predictions_loss: 0.3210 35/373 [=>............................] - ETA: 3:29 - loss: 41.0715 - logits_profile_predictions_loss: 40.7533 - 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ETA: 3:23 - loss: 41.3364 - logits_profile_predictions_loss: 41.0227 - logcount_predictions_loss: 0.3136 50/373 [===>..........................] - ETA: 3:23 - loss: 41.3298 - logits_profile_predictions_loss: 41.0162 - logcount_predictions_loss: 0.3136 51/373 [===>..........................] - ETA: 3:23 - loss: 41.3203 - logits_profile_predictions_loss: 41.0078 - logcount_predictions_loss: 0.3124 52/373 [===>..........................] - ETA: 3:22 - loss: 41.3711 - logits_profile_predictions_loss: 41.0590 - logcount_predictions_loss: 0.3121 53/373 [===>..........................] - ETA: 3:22 - loss: 41.5384 - logits_profile_predictions_loss: 41.2281 - logcount_predictions_loss: 0.3103 54/373 [===>..........................] - ETA: 3:21 - loss: 41.5289 - logits_profile_predictions_loss: 41.2182 - logcount_predictions_loss: 0.3107 55/373 [===>..........................] - ETA: 3:20 - loss: 41.4773 - logits_profile_predictions_loss: 41.1652 - logcount_predictions_loss: 0.3120 56/373 [===>..........................] - ETA: 3:19 - loss: 41.5362 - logits_profile_predictions_loss: 41.2246 - logcount_predictions_loss: 0.3116 57/373 [===>..........................] - ETA: 3:18 - loss: 41.3941 - logits_profile_predictions_loss: 41.0830 - logcount_predictions_loss: 0.3111 58/373 [===>..........................] - ETA: 3:18 - loss: 41.3133 - logits_profile_predictions_loss: 41.0021 - logcount_predictions_loss: 0.3112 59/373 [===>..........................] - ETA: 3:18 - loss: 41.3261 - logits_profile_predictions_loss: 41.0133 - logcount_predictions_loss: 0.3128 60/373 [===>..........................] - ETA: 3:17 - loss: 41.4114 - logits_profile_predictions_loss: 41.0991 - logcount_predictions_loss: 0.3123 61/373 [===>..........................] - ETA: 3:17 - loss: 41.3767 - logits_profile_predictions_loss: 41.0648 - logcount_predictions_loss: 0.3119 62/373 [===>..........................] - ETA: 3:16 - loss: 41.4129 - logits_profile_predictions_loss: 41.1002 - logcount_predictions_loss: 0.3127 63/373 [====>.........................] - ETA: 3:16 - loss: 41.3586 - logits_profile_predictions_loss: 41.0482 - logcount_predictions_loss: 0.3104 64/373 [====>.........................] - ETA: 3:15 - loss: 41.3653 - logits_profile_predictions_loss: 41.0549 - logcount_predictions_loss: 0.3104 65/373 [====>.........................] - ETA: 3:15 - loss: 41.4404 - logits_profile_predictions_loss: 41.1309 - logcount_predictions_loss: 0.3095 66/373 [====>.........................] - ETA: 3:14 - loss: 41.4036 - logits_profile_predictions_loss: 41.0918 - logcount_predictions_loss: 0.3118 67/373 [====>.........................] - ETA: 3:14 - loss: 41.4022 - logits_profile_predictions_loss: 41.0919 - logcount_predictions_loss: 0.3103 68/373 [====>.........................] - ETA: 3:13 - loss: 41.3562 - logits_profile_predictions_loss: 41.0464 - logcount_predictions_loss: 0.3098 69/373 [====>.........................] - ETA: 3:11 - loss: 41.3583 - 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[=====>........................] - ETA: 3:04 - loss: 41.5274 - logits_profile_predictions_loss: 41.2128 - logcount_predictions_loss: 0.3146 84/373 [=====>........................] - ETA: 3:03 - loss: 41.5222 - logits_profile_predictions_loss: 41.2083 - logcount_predictions_loss: 0.3138 85/373 [=====>........................] - ETA: 3:03 - loss: 41.5089 - logits_profile_predictions_loss: 41.1938 - logcount_predictions_loss: 0.3151 86/373 [=====>........................] - ETA: 3:02 - loss: 41.4491 - logits_profile_predictions_loss: 41.1345 - logcount_predictions_loss: 0.3147 87/373 [=====>........................] - ETA: 3:02 - loss: 41.4455 - logits_profile_predictions_loss: 41.1315 - logcount_predictions_loss: 0.3140 88/373 [======>.......................] - ETA: 3:01 - loss: 41.4199 - logits_profile_predictions_loss: 41.1056 - logcount_predictions_loss: 0.3143 89/373 [======>.......................] - ETA: 3:00 - loss: 41.3436 - logits_profile_predictions_loss: 41.0289 - 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[=======>......................] - ETA: 2:52 - loss: 41.2214 - logits_profile_predictions_loss: 40.9070 - logcount_predictions_loss: 0.3145 104/373 [=======>......................] - ETA: 2:51 - loss: 41.2024 - logits_profile_predictions_loss: 40.8891 - logcount_predictions_loss: 0.3134 105/373 [=======>......................] - ETA: 2:51 - loss: 41.2213 - logits_profile_predictions_loss: 40.9086 - logcount_predictions_loss: 0.3127 106/373 [=======>......................] - ETA: 2:50 - loss: 41.2599 - logits_profile_predictions_loss: 40.9481 - logcount_predictions_loss: 0.3118 107/373 [=======>......................] - ETA: 2:50 - loss: 41.2335 - logits_profile_predictions_loss: 40.9225 - logcount_predictions_loss: 0.3110 108/373 [=======>......................] - ETA: 2:49 - loss: 41.2262 - logits_profile_predictions_loss: 40.9156 - logcount_predictions_loss: 0.3106 109/373 [=======>......................] - ETA: 2:48 - loss: 41.2065 - logits_profile_predictions_loss: 40.8968 - 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[==========================>...] - ETA: 23s - loss: 40.6734 - logits_profile_predictions_loss: 40.3565 - logcount_predictions_loss: 0.3169 337/373 [==========================>...] - ETA: 22s - loss: 40.6932 - logits_profile_predictions_loss: 40.3762 - logcount_predictions_loss: 0.3169 338/373 [==========================>...] - ETA: 21s - loss: 40.7105 - logits_profile_predictions_loss: 40.3934 - logcount_predictions_loss: 0.3171 339/373 [==========================>...] - ETA: 21s - loss: 40.7371 - logits_profile_predictions_loss: 40.4196 - logcount_predictions_loss: 0.3174 340/373 [==========================>...] - ETA: 20s - loss: 40.7438 - logits_profile_predictions_loss: 40.4262 - logcount_predictions_loss: 0.3176 341/373 [==========================>...] - ETA: 20s - loss: 40.7310 - logits_profile_predictions_loss: 40.4135 - logcount_predictions_loss: 0.3175 342/373 [==========================>...] - ETA: 19s - loss: 40.7352 - logits_profile_predictions_loss: 40.4177 - logcount_predictions_loss: 0.3176 343/373 [==========================>...] - ETA: 18s - loss: 40.7356 - logits_profile_predictions_loss: 40.4181 - logcount_predictions_loss: 0.3175 344/373 [==========================>...] - ETA: 18s - loss: 40.7282 - logits_profile_predictions_loss: 40.4109 - logcount_predictions_loss: 0.3173 345/373 [==========================>...] - ETA: 17s - loss: 40.7093 - logits_profile_predictions_loss: 40.3922 - logcount_predictions_loss: 0.3171 346/373 [==========================>...] - ETA: 16s - loss: 40.7174 - logits_profile_predictions_loss: 40.3997 - logcount_predictions_loss: 0.3177 347/373 [==========================>...] - ETA: 16s - loss: 40.7261 - logits_profile_predictions_loss: 40.4080 - logcount_predictions_loss: 0.3181 348/373 [==========================>...] - ETA: 15s - loss: 40.7254 - logits_profile_predictions_loss: 40.4075 - logcount_predictions_loss: 0.3179 349/373 [===========================>..] - ETA: 15s - loss: 40.7295 - logits_profile_predictions_loss: 40.4115 - logcount_predictions_loss: 0.3180 350/373 [===========================>..] - ETA: 14s - loss: 40.7217 - logits_profile_predictions_loss: 40.4039 - logcount_predictions_loss: 0.3178 351/373 [===========================>..] - ETA: 13s - loss: 40.7197 - logits_profile_predictions_loss: 40.4019 - logcount_predictions_loss: 0.3178 352/373 [===========================>..] - ETA: 13s - loss: 40.7296 - logits_profile_predictions_loss: 40.4121 - logcount_predictions_loss: 0.3175 353/373 [===========================>..] - ETA: 12s - loss: 40.7516 - logits_profile_predictions_loss: 40.4340 - logcount_predictions_loss: 0.3176 354/373 [===========================>..] - ETA: 11s - loss: 40.7464 - logits_profile_predictions_loss: 40.4291 - logcount_predictions_loss: 0.3173 355/373 [===========================>..] - ETA: 11s - loss: 40.7330 - logits_profile_predictions_loss: 40.4157 - logcount_predictions_loss: 0.3173 356/373 [===========================>..] - ETA: 10s - loss: 40.7227 - logits_profile_predictions_loss: 40.4056 - logcount_predictions_loss: 0.3170 357/373 [===========================>..] - ETA: 10s - loss: 40.7268 - logits_profile_predictions_loss: 40.4097 - logcount_predictions_loss: 0.3171 358/373 [===========================>..] - ETA: 9s - loss: 40.7481 - logits_profile_predictions_loss: 40.4310 - logcount_predictions_loss: 0.3171  359/373 [===========================>..] - ETA: 8s - loss: 40.7556 - logits_profile_predictions_loss: 40.4384 - logcount_predictions_loss: 0.3172 360/373 [===========================>..] - ETA: 8s - loss: 40.7453 - logits_profile_predictions_loss: 40.4278 - logcount_predictions_loss: 0.3175 361/373 [============================>.] - ETA: 7s - loss: 40.7540 - logits_profile_predictions_loss: 40.4363 - logcount_predictions_loss: 0.3177 362/373 [============================>.] - ETA: 6s - loss: 40.7506 - logits_profile_predictions_loss: 40.4327 - logcount_predictions_loss: 0.3179 363/373 [============================>.] - ETA: 6s - loss: 40.7600 - logits_profile_predictions_loss: 40.4420 - logcount_predictions_loss: 0.3181 364/373 [============================>.] - ETA: 5s - loss: 40.7588 - logits_profile_predictions_loss: 40.4406 - logcount_predictions_loss: 0.3181 365/373 [============================>.] - ETA: 5s - loss: 40.7444 - logits_profile_predictions_loss: 40.4265 - logcount_predictions_loss: 0.3179 366/373 [============================>.] - ETA: 4s - loss: 40.7470 - logits_profile_predictions_loss: 40.4294 - logcount_predictions_loss: 0.3176 367/373 [============================>.] - ETA: 3s - loss: 40.7550 - logits_profile_predictions_loss: 40.4376 - logcount_predictions_loss: 0.3174 368/373 [============================>.] - ETA: 3s - loss: 40.7698 - logits_profile_predictions_loss: 40.4524 - logcount_predictions_loss: 0.3174 369/373 [============================>.] - ETA: 2s - loss: 40.7662 - logits_profile_predictions_loss: 40.4490 - logcount_predictions_loss: 0.3173 370/373 [============================>.] - ETA: 1s - loss: 40.7500 - logits_profile_predictions_loss: 40.4330 - logcount_predictions_loss: 0.3170 371/373 [============================>.] - ETA: 1s - loss: 40.7308 - logits_profile_predictions_loss: 40.4140 - logcount_predictions_loss: 0.3168 372/373 [============================>.] - ETA: 0s - loss: 40.7225 - logits_profile_predictions_loss: 40.4054 - logcount_predictions_loss: 0.3171 373/373 [==============================] - ETA: 0s - loss: 40.7258 - logits_profile_predictions_loss: 40.4086 - logcount_predictions_loss: 0.3171 Epoch 7: val_loss did not improve from 43.19805  373/373 [==============================] - 244s 655ms/step - loss: 40.7258 - logits_profile_predictions_loss: 40.4086 - logcount_predictions_loss: 0.3171 - val_loss: 43.2378 - val_logits_profile_predictions_loss: 42.9221 - val_logcount_predictions_loss: 0.3157 Epoch 8/50 1/373 [..............................] - ETA: 2:22 - loss: 47.9053 - logits_profile_predictions_loss: 47.5403 - logcount_predictions_loss: 0.3650 2/373 [..............................] - ETA: 3:34 - loss: 44.2233 - logits_profile_predictions_loss: 43.9273 - logcount_predictions_loss: 0.2960 3/373 [..............................] - ETA: 3:36 - loss: 42.8644 - logits_profile_predictions_loss: 42.4767 - logcount_predictions_loss: 0.3876 4/373 [..............................] - ETA: 3:37 - loss: 43.9063 - logits_profile_predictions_loss: 43.5445 - logcount_predictions_loss: 0.3618 5/373 [..............................] - ETA: 3:37 - loss: 43.0042 - logits_profile_predictions_loss: 42.6629 - logcount_predictions_loss: 0.3412 6/373 [..............................] - ETA: 3:37 - loss: 41.3470 - logits_profile_predictions_loss: 41.0063 - logcount_predictions_loss: 0.3407 7/373 [..............................] - ETA: 3:38 - loss: 41.3821 - logits_profile_predictions_loss: 41.0416 - logcount_predictions_loss: 0.3405 8/373 [..............................] - ETA: 3:49 - loss: 41.4721 - logits_profile_predictions_loss: 41.1296 - logcount_predictions_loss: 0.3425 9/373 [..............................] - ETA: 3:47 - loss: 40.5375 - logits_profile_predictions_loss: 40.2003 - logcount_predictions_loss: 0.3372 10/373 [..............................] - ETA: 3:43 - loss: 40.2846 - logits_profile_predictions_loss: 39.9590 - logcount_predictions_loss: 0.3256 11/373 [..............................] - ETA: 3:40 - loss: 40.1288 - logits_profile_predictions_loss: 39.8028 - logcount_predictions_loss: 0.3260 12/373 [..............................] - ETA: 3:39 - loss: 40.0987 - logits_profile_predictions_loss: 39.7777 - logcount_predictions_loss: 0.3210 13/373 [>.............................] - ETA: 3:39 - loss: 40.2870 - logits_profile_predictions_loss: 39.9688 - logcount_predictions_loss: 0.3181 14/373 [>.............................] - ETA: 3:38 - loss: 40.3197 - logits_profile_predictions_loss: 40.0029 - logcount_predictions_loss: 0.3168 15/373 [>.............................] - ETA: 3:38 - loss: 40.2485 - logits_profile_predictions_loss: 39.9351 - logcount_predictions_loss: 0.3134 16/373 [>.............................] - ETA: 3:38 - loss: 40.0793 - logits_profile_predictions_loss: 39.7704 - logcount_predictions_loss: 0.3089 17/373 [>.............................] - ETA: 3:37 - loss: 39.9309 - logits_profile_predictions_loss: 39.6223 - logcount_predictions_loss: 0.3086 18/373 [>.............................] - ETA: 3:37 - loss: 39.9064 - logits_profile_predictions_loss: 39.5940 - logcount_predictions_loss: 0.3123 19/373 [>.............................] - ETA: 3:36 - loss: 39.6522 - logits_profile_predictions_loss: 39.3398 - logcount_predictions_loss: 0.3125 20/373 [>.............................] - ETA: 3:36 - loss: 39.3809 - logits_profile_predictions_loss: 39.0680 - logcount_predictions_loss: 0.3129 21/373 [>.............................] - ETA: 3:35 - loss: 39.5074 - logits_profile_predictions_loss: 39.1949 - logcount_predictions_loss: 0.3124 22/373 [>.............................] - ETA: 3:35 - loss: 39.5821 - logits_profile_predictions_loss: 39.2676 - logcount_predictions_loss: 0.3145 23/373 [>.............................] - ETA: 3:34 - loss: 39.6386 - logits_profile_predictions_loss: 39.3234 - logcount_predictions_loss: 0.3152 24/373 [>.............................] - ETA: 3:34 - loss: 39.7262 - logits_profile_predictions_loss: 39.4091 - logcount_predictions_loss: 0.3172 25/373 [=>............................] - ETA: 3:33 - loss: 39.5867 - logits_profile_predictions_loss: 39.2721 - logcount_predictions_loss: 0.3145 26/373 [=>............................] - ETA: 3:34 - loss: 39.6951 - logits_profile_predictions_loss: 39.3803 - logcount_predictions_loss: 0.3148 27/373 [=>............................] - ETA: 3:35 - loss: 39.5584 - logits_profile_predictions_loss: 39.2437 - logcount_predictions_loss: 0.3147 28/373 [=>............................] - ETA: 3:35 - loss: 39.8072 - logits_profile_predictions_loss: 39.4914 - logcount_predictions_loss: 0.3158 29/373 [=>............................] - ETA: 3:35 - loss: 39.9027 - logits_profile_predictions_loss: 39.5877 - logcount_predictions_loss: 0.3150 30/373 [=>............................] - ETA: 3:34 - loss: 39.6878 - logits_profile_predictions_loss: 39.3715 - logcount_predictions_loss: 0.3163 31/373 [=>............................] - ETA: 3:34 - loss: 39.7075 - logits_profile_predictions_loss: 39.3878 - logcount_predictions_loss: 0.3197 32/373 [=>............................] - ETA: 3:33 - loss: 39.6970 - logits_profile_predictions_loss: 39.3785 - logcount_predictions_loss: 0.3185 33/373 [=>............................] - ETA: 3:33 - loss: 39.6887 - logits_profile_predictions_loss: 39.3712 - logcount_predictions_loss: 0.3175 34/373 [=>............................] - ETA: 3:33 - loss: 39.7144 - logits_profile_predictions_loss: 39.3945 - logcount_predictions_loss: 0.3199 35/373 [=>............................] - ETA: 3:32 - loss: 39.8131 - logits_profile_predictions_loss: 39.4903 - logcount_predictions_loss: 0.3228 36/373 [=>............................] - ETA: 3:32 - loss: 39.7799 - logits_profile_predictions_loss: 39.4576 - logcount_predictions_loss: 0.3223 37/373 [=>............................] - ETA: 3:31 - loss: 39.7341 - logits_profile_predictions_loss: 39.4125 - logcount_predictions_loss: 0.3216 38/373 [==>...........................] - ETA: 3:31 - loss: 39.6819 - logits_profile_predictions_loss: 39.3614 - logcount_predictions_loss: 0.3205 39/373 [==>...........................] - ETA: 3:31 - loss: 39.6495 - logits_profile_predictions_loss: 39.3265 - logcount_predictions_loss: 0.3230 40/373 [==>...........................] - ETA: 3:30 - loss: 39.7457 - logits_profile_predictions_loss: 39.4225 - logcount_predictions_loss: 0.3232 41/373 [==>...........................] - ETA: 3:30 - loss: 39.7092 - logits_profile_predictions_loss: 39.3854 - logcount_predictions_loss: 0.3238 42/373 [==>...........................] - ETA: 3:29 - loss: 39.6375 - logits_profile_predictions_loss: 39.3163 - logcount_predictions_loss: 0.3211 43/373 [==>...........................] - ETA: 3:29 - loss: 39.6882 - logits_profile_predictions_loss: 39.3671 - logcount_predictions_loss: 0.3211 44/373 [==>...........................] - ETA: 3:28 - loss: 39.7093 - logits_profile_predictions_loss: 39.3864 - logcount_predictions_loss: 0.3229 45/373 [==>...........................] - ETA: 3:28 - loss: 39.6068 - logits_profile_predictions_loss: 39.2833 - logcount_predictions_loss: 0.3235 46/373 [==>...........................] - ETA: 3:27 - loss: 39.6469 - logits_profile_predictions_loss: 39.3239 - logcount_predictions_loss: 0.3230 47/373 [==>...........................] - ETA: 3:27 - loss: 39.5863 - logits_profile_predictions_loss: 39.2664 - logcount_predictions_loss: 0.3198 48/373 [==>...........................] - ETA: 3:26 - loss: 39.5747 - logits_profile_predictions_loss: 39.2554 - logcount_predictions_loss: 0.3193 49/373 [==>...........................] - ETA: 3:27 - loss: 39.5729 - logits_profile_predictions_loss: 39.2531 - logcount_predictions_loss: 0.3198 50/373 [===>..........................] - ETA: 3:27 - loss: 39.5290 - logits_profile_predictions_loss: 39.2098 - logcount_predictions_loss: 0.3192 51/373 [===>..........................] - ETA: 3:26 - loss: 39.3938 - logits_profile_predictions_loss: 39.0777 - logcount_predictions_loss: 0.3160 52/373 [===>..........................] - ETA: 3:25 - loss: 39.5749 - logits_profile_predictions_loss: 39.2574 - logcount_predictions_loss: 0.3175 53/373 [===>..........................] - ETA: 3:24 - loss: 39.5591 - logits_profile_predictions_loss: 39.2420 - logcount_predictions_loss: 0.3171 54/373 [===>..........................] - ETA: 3:24 - loss: 39.5949 - logits_profile_predictions_loss: 39.2780 - logcount_predictions_loss: 0.3170 55/373 [===>..........................] - ETA: 3:23 - loss: 39.4964 - logits_profile_predictions_loss: 39.1811 - logcount_predictions_loss: 0.3153 56/373 [===>..........................] - ETA: 3:23 - loss: 39.5002 - logits_profile_predictions_loss: 39.1849 - logcount_predictions_loss: 0.3153 57/373 [===>..........................] - ETA: 3:22 - loss: 39.5498 - logits_profile_predictions_loss: 39.2345 - logcount_predictions_loss: 0.3153 58/373 [===>..........................] - ETA: 3:22 - loss: 39.6060 - logits_profile_predictions_loss: 39.2907 - logcount_predictions_loss: 0.3152 59/373 [===>..........................] - ETA: 3:21 - loss: 39.6071 - logits_profile_predictions_loss: 39.2929 - logcount_predictions_loss: 0.3142 60/373 [===>..........................] - ETA: 3:21 - loss: 39.6124 - logits_profile_predictions_loss: 39.2976 - logcount_predictions_loss: 0.3148 61/373 [===>..........................] - ETA: 3:20 - loss: 39.7094 - logits_profile_predictions_loss: 39.3928 - logcount_predictions_loss: 0.3165 62/373 [===>..........................] - ETA: 3:20 - loss: 39.6831 - logits_profile_predictions_loss: 39.3666 - logcount_predictions_loss: 0.3165 63/373 [====>.........................] - ETA: 3:19 - loss: 39.6822 - logits_profile_predictions_loss: 39.3670 - logcount_predictions_loss: 0.3152 64/373 [====>.........................] - ETA: 3:19 - loss: 39.7832 - logits_profile_predictions_loss: 39.4669 - logcount_predictions_loss: 0.3163 65/373 [====>.........................] - ETA: 3:18 - loss: 39.7589 - logits_profile_predictions_loss: 39.4403 - logcount_predictions_loss: 0.3186 66/373 [====>.........................] - ETA: 3:17 - loss: 39.7503 - logits_profile_predictions_loss: 39.4330 - logcount_predictions_loss: 0.3173 67/373 [====>.........................] - ETA: 3:17 - loss: 39.8409 - logits_profile_predictions_loss: 39.5232 - logcount_predictions_loss: 0.3177 68/373 [====>.........................] - ETA: 3:16 - loss: 39.8030 - logits_profile_predictions_loss: 39.4859 - logcount_predictions_loss: 0.3171 69/373 [====>.........................] - ETA: 3:15 - loss: 39.8694 - logits_profile_predictions_loss: 39.5521 - logcount_predictions_loss: 0.3173 70/373 [====>.........................] - ETA: 3:15 - loss: 40.0983 - logits_profile_predictions_loss: 39.7800 - logcount_predictions_loss: 0.3183 71/373 [====>.........................] - ETA: 3:14 - loss: 40.0869 - logits_profile_predictions_loss: 39.7698 - logcount_predictions_loss: 0.3171 72/373 [====>.........................] - ETA: 3:14 - loss: 39.9858 - logits_profile_predictions_loss: 39.6644 - logcount_predictions_loss: 0.3215 73/373 [====>.........................] - ETA: 3:13 - loss: 40.0354 - logits_profile_predictions_loss: 39.7144 - logcount_predictions_loss: 0.3210 74/373 [====>.........................] - ETA: 3:13 - loss: 40.0081 - logits_profile_predictions_loss: 39.6865 - logcount_predictions_loss: 0.3216 75/373 [=====>........................] - ETA: 3:12 - loss: 39.9800 - logits_profile_predictions_loss: 39.6598 - logcount_predictions_loss: 0.3202 76/373 [=====>........................] - ETA: 3:11 - loss: 39.8576 - logits_profile_predictions_loss: 39.5372 - logcount_predictions_loss: 0.3203 77/373 [=====>........................] - ETA: 3:11 - loss: 39.8760 - logits_profile_predictions_loss: 39.5553 - logcount_predictions_loss: 0.3207 78/373 [=====>........................] - ETA: 3:10 - loss: 39.9133 - logits_profile_predictions_loss: 39.5940 - logcount_predictions_loss: 0.3193 79/373 [=====>........................] - ETA: 3:09 - loss: 39.8894 - logits_profile_predictions_loss: 39.5687 - logcount_predictions_loss: 0.3206 80/373 [=====>........................] - ETA: 3:08 - loss: 39.8785 - logits_profile_predictions_loss: 39.5577 - logcount_predictions_loss: 0.3208 81/373 [=====>........................] - ETA: 3:07 - loss: 39.9025 - logits_profile_predictions_loss: 39.5795 - logcount_predictions_loss: 0.3230 82/373 [=====>........................] - ETA: 3:07 - loss: 39.8537 - logits_profile_predictions_loss: 39.5319 - logcount_predictions_loss: 0.3218 83/373 [=====>........................] - ETA: 3:06 - loss: 39.8987 - logits_profile_predictions_loss: 39.5774 - logcount_predictions_loss: 0.3213 84/373 [=====>........................] - ETA: 3:06 - loss: 39.8759 - logits_profile_predictions_loss: 39.5543 - logcount_predictions_loss: 0.3217 85/373 [=====>........................] - ETA: 3:05 - loss: 39.8410 - logits_profile_predictions_loss: 39.5189 - logcount_predictions_loss: 0.3221 86/373 [=====>........................] - ETA: 3:05 - loss: 39.8596 - logits_profile_predictions_loss: 39.5376 - logcount_predictions_loss: 0.3220 87/373 [=====>........................] - ETA: 3:04 - loss: 39.9312 - logits_profile_predictions_loss: 39.6099 - logcount_predictions_loss: 0.3213 88/373 [======>.......................] - ETA: 3:03 - loss: 39.9212 - logits_profile_predictions_loss: 39.5984 - logcount_predictions_loss: 0.3228 89/373 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- ETA: 53s - loss: 40.3548 - logits_profile_predictions_loss: 40.0406 - logcount_predictions_loss: 0.3142 290/373 [======================>.......] - ETA: 53s - loss: 40.3842 - logits_profile_predictions_loss: 40.0698 - logcount_predictions_loss: 0.3144 291/373 [======================>.......] - ETA: 52s - loss: 40.3940 - logits_profile_predictions_loss: 40.0799 - logcount_predictions_loss: 0.3141 292/373 [======================>.......] - ETA: 51s - loss: 40.3887 - logits_profile_predictions_loss: 40.0745 - logcount_predictions_loss: 0.3142 293/373 [======================>.......] - ETA: 51s - loss: 40.4018 - logits_profile_predictions_loss: 40.0874 - logcount_predictions_loss: 0.3143 294/373 [======================>.......] - ETA: 50s - loss: 40.4054 - logits_profile_predictions_loss: 40.0908 - logcount_predictions_loss: 0.3145 295/373 [======================>.......] - ETA: 50s - loss: 40.4174 - logits_profile_predictions_loss: 40.1029 - logcount_predictions_loss: 0.3144 296/373 [======================>.......] - ETA: 49s - loss: 40.4074 - logits_profile_predictions_loss: 40.0928 - logcount_predictions_loss: 0.3147 297/373 [======================>.......] - ETA: 48s - loss: 40.4114 - logits_profile_predictions_loss: 40.0966 - logcount_predictions_loss: 0.3148 298/373 [======================>.......] - ETA: 48s - loss: 40.4093 - logits_profile_predictions_loss: 40.0942 - logcount_predictions_loss: 0.3150 299/373 [=======================>......] - ETA: 47s - loss: 40.3893 - logits_profile_predictions_loss: 40.0740 - logcount_predictions_loss: 0.3152 300/373 [=======================>......] - ETA: 46s - loss: 40.3671 - logits_profile_predictions_loss: 40.0523 - logcount_predictions_loss: 0.3148 301/373 [=======================>......] - ETA: 46s - loss: 40.3613 - logits_profile_predictions_loss: 40.0466 - logcount_predictions_loss: 0.3147 302/373 [=======================>......] - ETA: 45s - loss: 40.3503 - logits_profile_predictions_loss: 40.0358 - 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- ETA: 36s - loss: 40.3810 - logits_profile_predictions_loss: 40.0675 - logcount_predictions_loss: 0.3136 317/373 [========================>.....] - ETA: 35s - loss: 40.3949 - logits_profile_predictions_loss: 40.0809 - logcount_predictions_loss: 0.3140 318/373 [========================>.....] - ETA: 35s - loss: 40.3861 - logits_profile_predictions_loss: 40.0722 - logcount_predictions_loss: 0.3139 319/373 [========================>.....] - ETA: 34s - loss: 40.3818 - logits_profile_predictions_loss: 40.0681 - logcount_predictions_loss: 0.3137 320/373 [========================>.....] - ETA: 33s - loss: 40.3723 - logits_profile_predictions_loss: 40.0585 - logcount_predictions_loss: 0.3138 321/373 [========================>.....] - ETA: 33s - loss: 40.3703 - logits_profile_predictions_loss: 40.0565 - logcount_predictions_loss: 0.3138 322/373 [========================>.....] - ETA: 32s - loss: 40.3545 - logits_profile_predictions_loss: 40.0410 - logcount_predictions_loss: 0.3135 323/373 [========================>.....] - ETA: 32s - loss: 40.3574 - logits_profile_predictions_loss: 40.0440 - logcount_predictions_loss: 0.3134 324/373 [=========================>....] - ETA: 31s - loss: 40.3571 - logits_profile_predictions_loss: 40.0436 - logcount_predictions_loss: 0.3135 325/373 [=========================>....] - ETA: 30s - loss: 40.3549 - logits_profile_predictions_loss: 40.0416 - logcount_predictions_loss: 0.3133 326/373 [=========================>....] - ETA: 30s - loss: 40.3572 - logits_profile_predictions_loss: 40.0438 - logcount_predictions_loss: 0.3134 327/373 [=========================>....] - ETA: 29s - loss: 40.3652 - logits_profile_predictions_loss: 40.0521 - logcount_predictions_loss: 0.3132 328/373 [=========================>....] - ETA: 28s - loss: 40.3554 - logits_profile_predictions_loss: 40.0424 - logcount_predictions_loss: 0.3130 329/373 [=========================>....] - ETA: 28s - loss: 40.3677 - logits_profile_predictions_loss: 40.0547 - 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- ETA: 19s - loss: 40.3294 - logits_profile_predictions_loss: 40.0174 - logcount_predictions_loss: 0.3120 344/373 [==========================>...] - ETA: 18s - loss: 40.3342 - logits_profile_predictions_loss: 40.0220 - logcount_predictions_loss: 0.3122 345/373 [==========================>...] - ETA: 17s - loss: 40.3208 - logits_profile_predictions_loss: 40.0083 - logcount_predictions_loss: 0.3125 346/373 [==========================>...] - ETA: 17s - loss: 40.2955 - logits_profile_predictions_loss: 39.9835 - logcount_predictions_loss: 0.3120 347/373 [==========================>...] - ETA: 16s - loss: 40.3137 - logits_profile_predictions_loss: 40.0018 - logcount_predictions_loss: 0.3119 348/373 [==========================>...] - ETA: 16s - loss: 40.3185 - logits_profile_predictions_loss: 40.0063 - logcount_predictions_loss: 0.3122 349/373 [===========================>..] - ETA: 15s - loss: 40.3339 - logits_profile_predictions_loss: 40.0216 - logcount_predictions_loss: 0.3123 350/373 [===========================>..] - ETA: 14s - loss: 40.3551 - logits_profile_predictions_loss: 40.0428 - logcount_predictions_loss: 0.3124 351/373 [===========================>..] - ETA: 14s - loss: 40.3599 - logits_profile_predictions_loss: 40.0478 - logcount_predictions_loss: 0.3121 352/373 [===========================>..] - ETA: 13s - loss: 40.3801 - logits_profile_predictions_loss: 40.0679 - logcount_predictions_loss: 0.3123 353/373 [===========================>..] - ETA: 12s - loss: 40.3788 - logits_profile_predictions_loss: 40.0667 - logcount_predictions_loss: 0.3121 354/373 [===========================>..] - ETA: 12s - loss: 40.3877 - logits_profile_predictions_loss: 40.0759 - logcount_predictions_loss: 0.3118 355/373 [===========================>..] - ETA: 11s - loss: 40.3713 - logits_profile_predictions_loss: 40.0595 - logcount_predictions_loss: 0.3118 356/373 [===========================>..] - ETA: 10s - loss: 40.3877 - logits_profile_predictions_loss: 40.0758 - logcount_predictions_loss: 0.3120 357/373 [===========================>..] - ETA: 10s - loss: 40.3775 - logits_profile_predictions_loss: 40.0659 - logcount_predictions_loss: 0.3116 358/373 [===========================>..] - ETA: 9s - loss: 40.3776 - logits_profile_predictions_loss: 40.0660 - logcount_predictions_loss: 0.3116  359/373 [===========================>..] - ETA: 8s - loss: 40.3862 - logits_profile_predictions_loss: 40.0746 - logcount_predictions_loss: 0.3116 360/373 [===========================>..] - ETA: 8s - loss: 40.3804 - logits_profile_predictions_loss: 40.0690 - logcount_predictions_loss: 0.3114 361/373 [============================>.] - ETA: 7s - loss: 40.3666 - logits_profile_predictions_loss: 40.0553 - logcount_predictions_loss: 0.3113 362/373 [============================>.] - ETA: 7s - loss: 40.3812 - logits_profile_predictions_loss: 40.0698 - logcount_predictions_loss: 0.3114 363/373 [============================>.] - ETA: 6s - loss: 40.3867 - logits_profile_predictions_loss: 40.0755 - logcount_predictions_loss: 0.3112 364/373 [============================>.] - ETA: 5s - loss: 40.3857 - logits_profile_predictions_loss: 40.0746 - logcount_predictions_loss: 0.3112 365/373 [============================>.] - ETA: 5s - loss: 40.3939 - logits_profile_predictions_loss: 40.0829 - logcount_predictions_loss: 0.3110 366/373 [============================>.] - ETA: 4s - loss: 40.3768 - logits_profile_predictions_loss: 40.0657 - logcount_predictions_loss: 0.3111 367/373 [============================>.] - ETA: 3s - loss: 40.3763 - logits_profile_predictions_loss: 40.0654 - logcount_predictions_loss: 0.3109 368/373 [============================>.] - ETA: 3s - loss: 40.4028 - logits_profile_predictions_loss: 40.0918 - logcount_predictions_loss: 0.3111 369/373 [============================>.] - ETA: 2s - loss: 40.4048 - logits_profile_predictions_loss: 40.0934 - logcount_predictions_loss: 0.3114 370/373 [============================>.] - ETA: 1s - loss: 40.4061 - logits_profile_predictions_loss: 40.0947 - logcount_predictions_loss: 0.3114 371/373 [============================>.] - ETA: 1s - loss: 40.3989 - logits_profile_predictions_loss: 40.0876 - logcount_predictions_loss: 0.3114 372/373 [============================>.] - ETA: 0s - loss: 40.4043 - logits_profile_predictions_loss: 40.0928 - logcount_predictions_loss: 0.3115 373/373 [==============================] - ETA: 0s - loss: 40.4056 - logits_profile_predictions_loss: 40.0937 - logcount_predictions_loss: 0.3119 Epoch 8: val_loss did not improve from 43.19805  373/373 [==============================] - 250s 671ms/step - loss: 40.4056 - logits_profile_predictions_loss: 40.0937 - logcount_predictions_loss: 0.3119 - val_loss: 43.2026 - val_logits_profile_predictions_loss: 42.9199 - val_logcount_predictions_loss: 0.2828 Epoch 9/50 1/373 [..............................] - ETA: 2:00 - loss: 43.9376 - logits_profile_predictions_loss: 43.6571 - logcount_predictions_loss: 0.2805 2/373 [..............................] - ETA: 1:55 - loss: 42.7065 - logits_profile_predictions_loss: 42.4324 - logcount_predictions_loss: 0.2742 3/373 [..............................] - ETA: 1:55 - loss: 41.9522 - logits_profile_predictions_loss: 41.6638 - logcount_predictions_loss: 0.2884 4/373 [..............................] - ETA: 1:56 - loss: 41.9732 - logits_profile_predictions_loss: 41.6544 - logcount_predictions_loss: 0.3188 5/373 [..............................] - ETA: 1:59 - loss: 40.6239 - logits_profile_predictions_loss: 40.3121 - logcount_predictions_loss: 0.3118 6/373 [..............................] - ETA: 2:00 - loss: 41.5909 - logits_profile_predictions_loss: 41.2778 - logcount_predictions_loss: 0.3130 7/373 [..............................] - ETA: 2:03 - loss: 41.3776 - logits_profile_predictions_loss: 41.0702 - logcount_predictions_loss: 0.3074 8/373 [..............................] - ETA: 2:09 - loss: 41.1310 - logits_profile_predictions_loss: 40.8293 - 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[========================>.....] - ETA: 34s - loss: 40.1058 - logits_profile_predictions_loss: 39.7898 - logcount_predictions_loss: 0.3161 318/373 [========================>.....] - ETA: 34s - loss: 40.1191 - logits_profile_predictions_loss: 39.8032 - logcount_predictions_loss: 0.3160 319/373 [========================>.....] - ETA: 33s - loss: 40.1236 - logits_profile_predictions_loss: 39.8079 - logcount_predictions_loss: 0.3158 320/373 [========================>.....] - ETA: 33s - loss: 40.1126 - logits_profile_predictions_loss: 39.7969 - logcount_predictions_loss: 0.3157 321/373 [========================>.....] - ETA: 32s - loss: 40.1203 - logits_profile_predictions_loss: 39.8045 - logcount_predictions_loss: 0.3158 322/373 [========================>.....] - ETA: 31s - loss: 40.1199 - logits_profile_predictions_loss: 39.8041 - logcount_predictions_loss: 0.3158 323/373 [========================>.....] - ETA: 31s - loss: 40.1339 - logits_profile_predictions_loss: 39.8182 - logcount_predictions_loss: 0.3158 324/373 [=========================>....] - ETA: 30s - loss: 40.1497 - logits_profile_predictions_loss: 39.8338 - logcount_predictions_loss: 0.3160 325/373 [=========================>....] - ETA: 29s - loss: 40.1452 - logits_profile_predictions_loss: 39.8294 - logcount_predictions_loss: 0.3159 326/373 [=========================>....] - ETA: 29s - loss: 40.1239 - logits_profile_predictions_loss: 39.8084 - logcount_predictions_loss: 0.3155 327/373 [=========================>....] - ETA: 28s - loss: 40.1243 - logits_profile_predictions_loss: 39.8092 - logcount_predictions_loss: 0.3152 328/373 [=========================>....] - ETA: 28s - loss: 40.1136 - logits_profile_predictions_loss: 39.7989 - logcount_predictions_loss: 0.3147 329/373 [=========================>....] - ETA: 27s - loss: 40.1206 - logits_profile_predictions_loss: 39.8059 - logcount_predictions_loss: 0.3147 330/373 [=========================>....] - ETA: 26s - loss: 40.1567 - logits_profile_predictions_loss: 39.8421 - logcount_predictions_loss: 0.3147 331/373 [=========================>....] - ETA: 26s - loss: 40.1406 - logits_profile_predictions_loss: 39.8256 - logcount_predictions_loss: 0.3150 332/373 [=========================>....] - ETA: 25s - loss: 40.1354 - logits_profile_predictions_loss: 39.8205 - logcount_predictions_loss: 0.3149 333/373 [=========================>....] - ETA: 25s - loss: 40.1459 - logits_profile_predictions_loss: 39.8313 - logcount_predictions_loss: 0.3146 334/373 [=========================>....] - ETA: 24s - loss: 40.1728 - logits_profile_predictions_loss: 39.8580 - logcount_predictions_loss: 0.3148 335/373 [=========================>....] - ETA: 23s - loss: 40.1910 - logits_profile_predictions_loss: 39.8758 - logcount_predictions_loss: 0.3152 336/373 [==========================>...] - ETA: 23s - loss: 40.1838 - logits_profile_predictions_loss: 39.8685 - logcount_predictions_loss: 0.3153 337/373 [==========================>...] - ETA: 22s - loss: 40.2053 - logits_profile_predictions_loss: 39.8900 - logcount_predictions_loss: 0.3153 338/373 [==========================>...] - ETA: 21s - loss: 40.2039 - logits_profile_predictions_loss: 39.8887 - logcount_predictions_loss: 0.3152 339/373 [==========================>...] - ETA: 21s - loss: 40.1953 - logits_profile_predictions_loss: 39.8803 - logcount_predictions_loss: 0.3150 340/373 [==========================>...] - ETA: 20s - loss: 40.1965 - logits_profile_predictions_loss: 39.8811 - logcount_predictions_loss: 0.3154 341/373 [==========================>...] - ETA: 20s - loss: 40.1888 - logits_profile_predictions_loss: 39.8735 - logcount_predictions_loss: 0.3153 342/373 [==========================>...] - ETA: 19s - loss: 40.1925 - logits_profile_predictions_loss: 39.8769 - logcount_predictions_loss: 0.3156 343/373 [==========================>...] - ETA: 18s - loss: 40.1978 - logits_profile_predictions_loss: 39.8823 - logcount_predictions_loss: 0.3155 344/373 [==========================>...] - ETA: 18s - loss: 40.1849 - logits_profile_predictions_loss: 39.8698 - logcount_predictions_loss: 0.3152 345/373 [==========================>...] - ETA: 17s - loss: 40.2018 - logits_profile_predictions_loss: 39.8869 - logcount_predictions_loss: 0.3149 346/373 [==========================>...] - ETA: 16s - loss: 40.2037 - logits_profile_predictions_loss: 39.8889 - logcount_predictions_loss: 0.3148 347/373 [==========================>...] - ETA: 16s - loss: 40.2054 - logits_profile_predictions_loss: 39.8906 - logcount_predictions_loss: 0.3149 348/373 [==========================>...] - ETA: 15s - loss: 40.2170 - logits_profile_predictions_loss: 39.9023 - logcount_predictions_loss: 0.3147 349/373 [===========================>..] - ETA: 15s - loss: 40.2219 - logits_profile_predictions_loss: 39.9075 - logcount_predictions_loss: 0.3144 350/373 [===========================>..] - ETA: 14s - loss: 40.2266 - logits_profile_predictions_loss: 39.9122 - logcount_predictions_loss: 0.3145 351/373 [===========================>..] - ETA: 13s - loss: 40.2213 - logits_profile_predictions_loss: 39.9068 - logcount_predictions_loss: 0.3146 352/373 [===========================>..] - ETA: 13s - loss: 40.2146 - logits_profile_predictions_loss: 39.9001 - logcount_predictions_loss: 0.3145 353/373 [===========================>..] - ETA: 12s - loss: 40.2075 - logits_profile_predictions_loss: 39.8932 - logcount_predictions_loss: 0.3143 354/373 [===========================>..] - ETA: 11s - loss: 40.2006 - logits_profile_predictions_loss: 39.8865 - logcount_predictions_loss: 0.3141 355/373 [===========================>..] - ETA: 11s - loss: 40.2065 - logits_profile_predictions_loss: 39.8926 - logcount_predictions_loss: 0.3140 356/373 [===========================>..] - ETA: 10s - loss: 40.1908 - logits_profile_predictions_loss: 39.8769 - logcount_predictions_loss: 0.3139 357/373 [===========================>..] - ETA: 10s - loss: 40.1920 - logits_profile_predictions_loss: 39.8782 - logcount_predictions_loss: 0.3139 358/373 [===========================>..] - ETA: 9s - loss: 40.1876 - logits_profile_predictions_loss: 39.8738 - logcount_predictions_loss: 0.3138  359/373 [===========================>..] - ETA: 8s - loss: 40.1917 - logits_profile_predictions_loss: 39.8779 - logcount_predictions_loss: 0.3138 360/373 [===========================>..] - ETA: 8s - loss: 40.2084 - logits_profile_predictions_loss: 39.8948 - logcount_predictions_loss: 0.3137 361/373 [============================>.] - ETA: 7s - loss: 40.2070 - logits_profile_predictions_loss: 39.8935 - logcount_predictions_loss: 0.3135 362/373 [============================>.] - ETA: 6s - loss: 40.1986 - logits_profile_predictions_loss: 39.8848 - logcount_predictions_loss: 0.3138 363/373 [============================>.] - ETA: 6s - loss: 40.1844 - logits_profile_predictions_loss: 39.8706 - logcount_predictions_loss: 0.3138 364/373 [============================>.] - ETA: 5s - loss: 40.1873 - logits_profile_predictions_loss: 39.8737 - logcount_predictions_loss: 0.3136 365/373 [============================>.] - ETA: 5s - loss: 40.2001 - logits_profile_predictions_loss: 39.8865 - logcount_predictions_loss: 0.3137 366/373 [============================>.] - ETA: 4s - loss: 40.2102 - logits_profile_predictions_loss: 39.8966 - logcount_predictions_loss: 0.3136 367/373 [============================>.] - ETA: 3s - loss: 40.2054 - logits_profile_predictions_loss: 39.8919 - logcount_predictions_loss: 0.3135 368/373 [============================>.] - ETA: 3s - loss: 40.2065 - logits_profile_predictions_loss: 39.8929 - logcount_predictions_loss: 0.3137 369/373 [============================>.] - ETA: 2s - loss: 40.2032 - logits_profile_predictions_loss: 39.8897 - logcount_predictions_loss: 0.3135 370/373 [============================>.] - ETA: 1s - loss: 40.1930 - logits_profile_predictions_loss: 39.8799 - logcount_predictions_loss: 0.3132 371/373 [============================>.] - ETA: 1s - loss: 40.2088 - logits_profile_predictions_loss: 39.8960 - logcount_predictions_loss: 0.3128 372/373 [============================>.] - ETA: 0s - loss: 40.2119 - logits_profile_predictions_loss: 39.8993 - logcount_predictions_loss: 0.3126 373/373 [==============================] - ETA: 0s - loss: 40.2102 - logits_profile_predictions_loss: 39.8976 - logcount_predictions_loss: 0.3127 Epoch 9: val_loss did not improve from 43.19805  373/373 [==============================] - 244s 654ms/step - loss: 40.2102 - logits_profile_predictions_loss: 39.8976 - logcount_predictions_loss: 0.3127 - val_loss: 43.3688 - val_logits_profile_predictions_loss: 43.0964 - val_logcount_predictions_loss: 0.2724 Epoch 10/50 1/373 [..............................] - ETA: 2:21 - loss: 36.0347 - logits_profile_predictions_loss: 35.6638 - logcount_predictions_loss: 0.3709 2/373 [..............................] - ETA: 3:00 - loss: 37.0368 - logits_profile_predictions_loss: 36.6562 - logcount_predictions_loss: 0.3805 3/373 [..............................] - ETA: 3:36 - loss: 38.9367 - logits_profile_predictions_loss: 38.5908 - logcount_predictions_loss: 0.3458 4/373 [..............................] - ETA: 3:38 - loss: 39.4223 - logits_profile_predictions_loss: 39.0841 - logcount_predictions_loss: 0.3382 5/373 [..............................] - ETA: 3:39 - loss: 40.1698 - logits_profile_predictions_loss: 39.8515 - logcount_predictions_loss: 0.3183 6/373 [..............................] - ETA: 3:39 - loss: 39.8375 - logits_profile_predictions_loss: 39.5397 - logcount_predictions_loss: 0.2978 7/373 [..............................] - ETA: 3:39 - loss: 39.3890 - logits_profile_predictions_loss: 39.0838 - logcount_predictions_loss: 0.3052 8/373 [..............................] - ETA: 3:39 - loss: 39.9817 - logits_profile_predictions_loss: 39.6827 - logcount_predictions_loss: 0.2990 9/373 [..............................] - ETA: 3:39 - loss: 39.6749 - logits_profile_predictions_loss: 39.3824 - logcount_predictions_loss: 0.2925 10/373 [..............................] - ETA: 3:38 - loss: 39.2009 - logits_profile_predictions_loss: 38.9103 - logcount_predictions_loss: 0.2906 11/373 [..............................] - ETA: 3:38 - loss: 38.7230 - logits_profile_predictions_loss: 38.4358 - logcount_predictions_loss: 0.2871 12/373 [..............................] - ETA: 3:38 - loss: 38.6883 - logits_profile_predictions_loss: 38.4033 - logcount_predictions_loss: 0.2850 13/373 [>.............................] - ETA: 3:37 - loss: 38.2861 - logits_profile_predictions_loss: 37.9984 - logcount_predictions_loss: 0.2877 14/373 [>.............................] - ETA: 3:37 - loss: 38.6250 - logits_profile_predictions_loss: 38.3400 - logcount_predictions_loss: 0.2850 15/373 [>.............................] - ETA: 3:36 - loss: 39.0420 - logits_profile_predictions_loss: 38.7530 - logcount_predictions_loss: 0.2890 16/373 [>.............................] - ETA: 3:36 - loss: 39.1280 - logits_profile_predictions_loss: 38.8300 - logcount_predictions_loss: 0.2980 17/373 [>.............................] - ETA: 3:35 - loss: 39.3402 - logits_profile_predictions_loss: 39.0428 - logcount_predictions_loss: 0.2974 18/373 [>.............................] - ETA: 3:35 - loss: 39.4071 - logits_profile_predictions_loss: 39.1103 - logcount_predictions_loss: 0.2968 19/373 [>.............................] - ETA: 3:34 - loss: 39.1946 - logits_profile_predictions_loss: 38.9048 - logcount_predictions_loss: 0.2899 20/373 [>.............................] - ETA: 3:34 - loss: 39.1212 - logits_profile_predictions_loss: 38.8333 - logcount_predictions_loss: 0.2879 21/373 [>.............................] - ETA: 3:34 - loss: 38.9284 - logits_profile_predictions_loss: 38.6415 - logcount_predictions_loss: 0.2869 22/373 [>.............................] - ETA: 3:33 - loss: 39.2045 - logits_profile_predictions_loss: 38.9191 - logcount_predictions_loss: 0.2855 23/373 [>.............................] - ETA: 3:33 - loss: 39.1737 - logits_profile_predictions_loss: 38.8879 - logcount_predictions_loss: 0.2858 24/373 [>.............................] - ETA: 3:32 - loss: 39.3271 - logits_profile_predictions_loss: 39.0417 - logcount_predictions_loss: 0.2854 25/373 [=>............................] - ETA: 3:34 - loss: 39.1352 - logits_profile_predictions_loss: 38.8506 - logcount_predictions_loss: 0.2846 26/373 [=>............................] - ETA: 3:35 - loss: 39.0874 - logits_profile_predictions_loss: 38.8067 - logcount_predictions_loss: 0.2807 27/373 [=>............................] - ETA: 3:34 - loss: 39.1200 - logits_profile_predictions_loss: 38.8382 - logcount_predictions_loss: 0.2818 28/373 [=>............................] - ETA: 3:33 - loss: 39.1255 - logits_profile_predictions_loss: 38.8425 - logcount_predictions_loss: 0.2830 29/373 [=>............................] - ETA: 3:32 - loss: 39.0648 - logits_profile_predictions_loss: 38.7806 - logcount_predictions_loss: 0.2842 30/373 [=>............................] - ETA: 3:32 - loss: 39.1809 - logits_profile_predictions_loss: 38.8957 - logcount_predictions_loss: 0.2852 31/373 [=>............................] - ETA: 3:31 - loss: 39.3681 - logits_profile_predictions_loss: 39.0801 - logcount_predictions_loss: 0.2880 32/373 [=>............................] - ETA: 3:32 - loss: 39.3284 - logits_profile_predictions_loss: 39.0399 - logcount_predictions_loss: 0.2885 33/373 [=>............................] - ETA: 3:32 - loss: 39.5960 - logits_profile_predictions_loss: 39.3073 - logcount_predictions_loss: 0.2887 34/373 [=>............................] - ETA: 3:32 - loss: 39.4636 - logits_profile_predictions_loss: 39.1756 - logcount_predictions_loss: 0.2880 35/373 [=>............................] - ETA: 3:32 - loss: 39.4948 - logits_profile_predictions_loss: 39.2053 - logcount_predictions_loss: 0.2895 36/373 [=>............................] - ETA: 3:32 - loss: 39.4924 - logits_profile_predictions_loss: 39.2038 - logcount_predictions_loss: 0.2886 37/373 [=>............................] - ETA: 3:32 - loss: 39.4667 - logits_profile_predictions_loss: 39.1777 - logcount_predictions_loss: 0.2890 38/373 [==>...........................] - ETA: 3:31 - loss: 39.4220 - logits_profile_predictions_loss: 39.1350 - logcount_predictions_loss: 0.2870 39/373 [==>...........................] - ETA: 3:31 - loss: 39.3735 - logits_profile_predictions_loss: 39.0854 - logcount_predictions_loss: 0.2881 40/373 [==>...........................] - ETA: 3:31 - loss: 39.1362 - logits_profile_predictions_loss: 38.8481 - logcount_predictions_loss: 0.2881 41/373 [==>...........................] - ETA: 3:30 - loss: 39.1749 - logits_profile_predictions_loss: 38.8862 - logcount_predictions_loss: 0.2887 42/373 [==>...........................] - ETA: 3:29 - loss: 39.2638 - logits_profile_predictions_loss: 38.9744 - logcount_predictions_loss: 0.2894 43/373 [==>...........................] - ETA: 3:28 - loss: 39.2262 - logits_profile_predictions_loss: 38.9375 - logcount_predictions_loss: 0.2887 44/373 [==>...........................] - ETA: 3:28 - loss: 39.2230 - logits_profile_predictions_loss: 38.9340 - logcount_predictions_loss: 0.2890 45/373 [==>...........................] - ETA: 3:27 - loss: 39.3029 - logits_profile_predictions_loss: 39.0130 - logcount_predictions_loss: 0.2899 46/373 [==>...........................] - ETA: 3:27 - loss: 39.2712 - logits_profile_predictions_loss: 38.9817 - logcount_predictions_loss: 0.2894 47/373 [==>...........................] - ETA: 3:26 - loss: 39.4054 - logits_profile_predictions_loss: 39.1155 - logcount_predictions_loss: 0.2899 48/373 [==>...........................] - ETA: 3:26 - loss: 39.4554 - logits_profile_predictions_loss: 39.1655 - logcount_predictions_loss: 0.2899 49/373 [==>...........................] - ETA: 3:25 - loss: 39.4352 - logits_profile_predictions_loss: 39.1461 - logcount_predictions_loss: 0.2891 50/373 [===>..........................] - ETA: 3:25 - loss: 39.4903 - logits_profile_predictions_loss: 39.1987 - logcount_predictions_loss: 0.2915 51/373 [===>..........................] - ETA: 3:24 - loss: 39.4679 - logits_profile_predictions_loss: 39.1767 - logcount_predictions_loss: 0.2912 52/373 [===>..........................] - ETA: 3:24 - loss: 39.4093 - logits_profile_predictions_loss: 39.1178 - logcount_predictions_loss: 0.2915 53/373 [===>..........................] - ETA: 3:23 - loss: 39.4192 - logits_profile_predictions_loss: 39.1261 - logcount_predictions_loss: 0.2931 54/373 [===>..........................] - ETA: 3:23 - loss: 39.3889 - logits_profile_predictions_loss: 39.0947 - logcount_predictions_loss: 0.2942 55/373 [===>..........................] - ETA: 3:22 - loss: 39.3863 - logits_profile_predictions_loss: 39.0929 - logcount_predictions_loss: 0.2935 56/373 [===>..........................] - ETA: 3:22 - loss: 39.2812 - logits_profile_predictions_loss: 38.9890 - logcount_predictions_loss: 0.2923 57/373 [===>..........................] - ETA: 3:21 - loss: 39.2069 - logits_profile_predictions_loss: 38.9151 - logcount_predictions_loss: 0.2918 58/373 [===>..........................] - ETA: 3:21 - loss: 39.1192 - logits_profile_predictions_loss: 38.8276 - logcount_predictions_loss: 0.2916 59/373 [===>..........................] - ETA: 3:20 - loss: 39.0749 - logits_profile_predictions_loss: 38.7850 - logcount_predictions_loss: 0.2899 60/373 [===>..........................] - ETA: 3:20 - loss: 39.0771 - logits_profile_predictions_loss: 38.7867 - logcount_predictions_loss: 0.2904 61/373 [===>..........................] - ETA: 3:19 - loss: 39.0779 - logits_profile_predictions_loss: 38.7871 - logcount_predictions_loss: 0.2908 62/373 [===>..........................] - ETA: 3:18 - loss: 39.2403 - logits_profile_predictions_loss: 38.9485 - logcount_predictions_loss: 0.2918 63/373 [====>.........................] - ETA: 3:17 - loss: 39.1182 - logits_profile_predictions_loss: 38.8259 - logcount_predictions_loss: 0.2923 64/373 [====>.........................] - ETA: 3:17 - loss: 39.0871 - logits_profile_predictions_loss: 38.7934 - logcount_predictions_loss: 0.2937 65/373 [====>.........................] - ETA: 3:16 - loss: 39.0966 - logits_profile_predictions_loss: 38.8029 - logcount_predictions_loss: 0.2937 66/373 [====>.........................] - ETA: 3:16 - loss: 39.1799 - logits_profile_predictions_loss: 38.8843 - logcount_predictions_loss: 0.2957 67/373 [====>.........................] - ETA: 3:16 - loss: 39.2996 - logits_profile_predictions_loss: 39.0012 - logcount_predictions_loss: 0.2985 68/373 [====>.........................] - ETA: 3:15 - loss: 39.2189 - logits_profile_predictions_loss: 38.9204 - logcount_predictions_loss: 0.2985 69/373 [====>.........................] - ETA: 3:15 - loss: 39.2350 - logits_profile_predictions_loss: 38.9377 - logcount_predictions_loss: 0.2973 70/373 [====>.........................] - ETA: 3:14 - loss: 39.2625 - logits_profile_predictions_loss: 38.9647 - logcount_predictions_loss: 0.2978 71/373 [====>.........................] - ETA: 3:14 - loss: 39.2311 - logits_profile_predictions_loss: 38.9320 - logcount_predictions_loss: 0.2992 72/373 [====>.........................] - ETA: 3:13 - loss: 39.2608 - logits_profile_predictions_loss: 38.9621 - logcount_predictions_loss: 0.2986 73/373 [====>.........................] - ETA: 3:12 - loss: 39.1982 - logits_profile_predictions_loss: 38.9005 - logcount_predictions_loss: 0.2977 74/373 [====>.........................] - ETA: 3:12 - loss: 39.1863 - logits_profile_predictions_loss: 38.8883 - logcount_predictions_loss: 0.2980 75/373 [=====>........................] - ETA: 3:11 - loss: 39.2796 - logits_profile_predictions_loss: 38.9792 - logcount_predictions_loss: 0.3004 76/373 [=====>........................] - ETA: 3:11 - loss: 39.3441 - logits_profile_predictions_loss: 39.0439 - logcount_predictions_loss: 0.3002 77/373 [=====>........................] - ETA: 3:10 - loss: 39.3748 - logits_profile_predictions_loss: 39.0754 - logcount_predictions_loss: 0.2993 78/373 [=====>........................] - ETA: 3:10 - loss: 39.3809 - logits_profile_predictions_loss: 39.0799 - logcount_predictions_loss: 0.3010 79/373 [=====>........................] - ETA: 3:09 - loss: 39.3887 - logits_profile_predictions_loss: 39.0852 - logcount_predictions_loss: 0.3035 80/373 [=====>........................] - ETA: 3:08 - loss: 39.3949 - logits_profile_predictions_loss: 39.0902 - logcount_predictions_loss: 0.3047 81/373 [=====>........................] - ETA: 3:07 - loss: 39.4140 - logits_profile_predictions_loss: 39.1096 - logcount_predictions_loss: 0.3044 82/373 [=====>........................] - ETA: 3:07 - loss: 39.4384 - logits_profile_predictions_loss: 39.1336 - logcount_predictions_loss: 0.3048 83/373 [=====>........................] - ETA: 3:06 - loss: 39.3703 - logits_profile_predictions_loss: 39.0655 - 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logcount_predictions_loss: 0.2969 372/373 [============================>.] - ETA: 0s - loss: 39.7288 - logits_profile_predictions_loss: 39.4319 - logcount_predictions_loss: 0.2969 373/373 [==============================] - ETA: 0s - loss: 39.7414 - logits_profile_predictions_loss: 39.4445 - logcount_predictions_loss: 0.2968 Epoch 10: val_loss did not improve from 43.19805  373/373 [==============================] - 251s 674ms/step - loss: 39.7414 - logits_profile_predictions_loss: 39.4445 - logcount_predictions_loss: 0.2968 - val_loss: 43.5629 - val_logits_profile_predictions_loss: 43.2712 - val_logcount_predictions_loss: 0.2917 Epoch 11/50 1/373 [..............................] - ETA: 2:03 - loss: 37.6350 - logits_profile_predictions_loss: 37.3063 - logcount_predictions_loss: 0.3288 2/373 [..............................] - ETA: 2:51 - loss: 37.2682 - logits_profile_predictions_loss: 37.0013 - logcount_predictions_loss: 0.2669 3/373 [..............................] - ETA: 3:07 - loss: 35.7599 - logits_profile_predictions_loss: 35.5237 - logcount_predictions_loss: 0.2362 4/373 [..............................] - ETA: 3:05 - loss: 35.9285 - logits_profile_predictions_loss: 35.6889 - logcount_predictions_loss: 0.2396 5/373 [..............................] - ETA: 3:04 - loss: 36.8094 - logits_profile_predictions_loss: 36.5640 - logcount_predictions_loss: 0.2454 6/373 [..............................] - ETA: 3:06 - loss: 36.4042 - logits_profile_predictions_loss: 36.1619 - logcount_predictions_loss: 0.2423 7/373 [..............................] - ETA: 3:07 - loss: 36.6911 - logits_profile_predictions_loss: 36.4429 - logcount_predictions_loss: 0.2483 8/373 [..............................] - ETA: 3:07 - loss: 37.1459 - logits_profile_predictions_loss: 36.8894 - logcount_predictions_loss: 0.2565 9/373 [..............................] - ETA: 3:06 - loss: 37.7056 - logits_profile_predictions_loss: 37.4365 - logcount_predictions_loss: 0.2691 10/373 [..............................] - ETA: 3:05 - loss: 37.7901 - logits_profile_predictions_loss: 37.5227 - logcount_predictions_loss: 0.2674 11/373 [..............................] - ETA: 3:05 - loss: 37.4541 - logits_profile_predictions_loss: 37.1928 - logcount_predictions_loss: 0.2613 12/373 [..............................] - ETA: 3:04 - loss: 37.5774 - logits_profile_predictions_loss: 37.3112 - logcount_predictions_loss: 0.2662 13/373 [>.............................] - ETA: 3:04 - loss: 37.8991 - logits_profile_predictions_loss: 37.6198 - logcount_predictions_loss: 0.2793 14/373 [>.............................] - ETA: 3:03 - loss: 37.6234 - logits_profile_predictions_loss: 37.3437 - logcount_predictions_loss: 0.2797 15/373 [>.............................] - ETA: 3:04 - loss: 37.8694 - logits_profile_predictions_loss: 37.5856 - logcount_predictions_loss: 0.2838 16/373 [>.............................] - ETA: 3:05 - loss: 37.9205 - logits_profile_predictions_loss: 37.6362 - logcount_predictions_loss: 0.2843 17/373 [>.............................] - ETA: 3:06 - loss: 37.7985 - logits_profile_predictions_loss: 37.5126 - logcount_predictions_loss: 0.2859 18/373 [>.............................] - ETA: 3:07 - loss: 37.8791 - logits_profile_predictions_loss: 37.5957 - logcount_predictions_loss: 0.2834 19/373 [>.............................] - ETA: 3:08 - loss: 37.9762 - logits_profile_predictions_loss: 37.6918 - logcount_predictions_loss: 0.2844 20/373 [>.............................] - ETA: 3:08 - loss: 38.1960 - logits_profile_predictions_loss: 37.9155 - logcount_predictions_loss: 0.2805 21/373 [>.............................] - ETA: 3:09 - loss: 38.2437 - logits_profile_predictions_loss: 37.9643 - logcount_predictions_loss: 0.2793 22/373 [>.............................] - ETA: 3:09 - loss: 38.3101 - logits_profile_predictions_loss: 38.0266 - logcount_predictions_loss: 0.2835 23/373 [>.............................] - ETA: 3:09 - loss: 38.1794 - logits_profile_predictions_loss: 37.8954 - logcount_predictions_loss: 0.2840 24/373 [>.............................] - ETA: 3:09 - loss: 38.4191 - logits_profile_predictions_loss: 38.1370 - logcount_predictions_loss: 0.2821 25/373 [=>............................] - ETA: 3:09 - loss: 38.6556 - logits_profile_predictions_loss: 38.3731 - logcount_predictions_loss: 0.2825 26/373 [=>............................] - ETA: 3:09 - loss: 38.7357 - logits_profile_predictions_loss: 38.4493 - logcount_predictions_loss: 0.2864 27/373 [=>............................] - ETA: 3:10 - loss: 38.6328 - logits_profile_predictions_loss: 38.3464 - logcount_predictions_loss: 0.2864 28/373 [=>............................] - ETA: 3:12 - loss: 38.5644 - logits_profile_predictions_loss: 38.2797 - logcount_predictions_loss: 0.2847 29/373 [=>............................] - ETA: 3:13 - loss: 39.0931 - logits_profile_predictions_loss: 38.8013 - logcount_predictions_loss: 0.2918 30/373 [=>............................] - ETA: 3:14 - loss: 39.1195 - logits_profile_predictions_loss: 38.8269 - logcount_predictions_loss: 0.2925 31/373 [=>............................] - ETA: 3:14 - loss: 39.0954 - logits_profile_predictions_loss: 38.7998 - logcount_predictions_loss: 0.2956 32/373 [=>............................] - ETA: 3:14 - loss: 39.0634 - logits_profile_predictions_loss: 38.7669 - logcount_predictions_loss: 0.2965 33/373 [=>............................] - ETA: 3:14 - loss: 39.1360 - logits_profile_predictions_loss: 38.8420 - logcount_predictions_loss: 0.2940 34/373 [=>............................] - ETA: 3:13 - loss: 39.2236 - logits_profile_predictions_loss: 38.9308 - logcount_predictions_loss: 0.2928 35/373 [=>............................] - ETA: 3:13 - loss: 39.3123 - logits_profile_predictions_loss: 39.0200 - logcount_predictions_loss: 0.2923 36/373 [=>............................] - ETA: 3:13 - loss: 39.4509 - logits_profile_predictions_loss: 39.1570 - logcount_predictions_loss: 0.2939 37/373 [=>............................] - ETA: 3:13 - loss: 39.6165 - logits_profile_predictions_loss: 39.3219 - logcount_predictions_loss: 0.2946 38/373 [==>...........................] - ETA: 3:13 - loss: 39.5133 - logits_profile_predictions_loss: 39.2171 - logcount_predictions_loss: 0.2962 39/373 [==>...........................] - ETA: 3:13 - loss: 39.5455 - logits_profile_predictions_loss: 39.2456 - logcount_predictions_loss: 0.2999 40/373 [==>...........................] - ETA: 3:12 - loss: 39.4915 - logits_profile_predictions_loss: 39.1925 - logcount_predictions_loss: 0.2990 41/373 [==>...........................] - ETA: 3:12 - loss: 39.4674 - logits_profile_predictions_loss: 39.1677 - logcount_predictions_loss: 0.2998 42/373 [==>...........................] - ETA: 3:12 - loss: 39.5949 - logits_profile_predictions_loss: 39.2917 - logcount_predictions_loss: 0.3032 43/373 [==>...........................] - ETA: 3:12 - loss: 39.6276 - logits_profile_predictions_loss: 39.3234 - logcount_predictions_loss: 0.3042 44/373 [==>...........................] - ETA: 3:13 - loss: 39.6059 - logits_profile_predictions_loss: 39.3035 - logcount_predictions_loss: 0.3024 45/373 [==>...........................] - ETA: 3:12 - loss: 39.6393 - logits_profile_predictions_loss: 39.3359 - logcount_predictions_loss: 0.3034 46/373 [==>...........................] - ETA: 3:12 - loss: 39.4491 - logits_profile_predictions_loss: 39.1390 - logcount_predictions_loss: 0.3101 47/373 [==>...........................] - ETA: 3:12 - loss: 39.4783 - logits_profile_predictions_loss: 39.1706 - logcount_predictions_loss: 0.3077 48/373 [==>...........................] - ETA: 3:12 - loss: 39.4291 - logits_profile_predictions_loss: 39.1225 - logcount_predictions_loss: 0.3066 49/373 [==>...........................] - ETA: 3:11 - loss: 39.4168 - logits_profile_predictions_loss: 39.1102 - logcount_predictions_loss: 0.3066 50/373 [===>..........................] - ETA: 3:11 - loss: 39.3964 - logits_profile_predictions_loss: 39.0927 - logcount_predictions_loss: 0.3037 51/373 [===>..........................] - ETA: 3:11 - loss: 39.2707 - logits_profile_predictions_loss: 38.9674 - logcount_predictions_loss: 0.3033 52/373 [===>..........................] - ETA: 3:10 - loss: 39.1558 - logits_profile_predictions_loss: 38.8528 - logcount_predictions_loss: 0.3030 53/373 [===>..........................] - ETA: 3:10 - loss: 39.2185 - logits_profile_predictions_loss: 38.9139 - logcount_predictions_loss: 0.3047 54/373 [===>..........................] - ETA: 3:10 - loss: 39.2421 - logits_profile_predictions_loss: 38.9387 - logcount_predictions_loss: 0.3034 55/373 [===>..........................] - ETA: 3:09 - loss: 39.2371 - logits_profile_predictions_loss: 38.9341 - logcount_predictions_loss: 0.3030 56/373 [===>..........................] - ETA: 3:09 - loss: 39.2180 - logits_profile_predictions_loss: 38.9148 - logcount_predictions_loss: 0.3032 57/373 [===>..........................] - ETA: 3:09 - loss: 39.1678 - logits_profile_predictions_loss: 38.8658 - logcount_predictions_loss: 0.3020 58/373 [===>..........................] - ETA: 3:08 - loss: 39.1715 - logits_profile_predictions_loss: 38.8674 - logcount_predictions_loss: 0.3041 59/373 [===>..........................] - ETA: 3:08 - loss: 39.2695 - logits_profile_predictions_loss: 38.9630 - logcount_predictions_loss: 0.3065 60/373 [===>..........................] - ETA: 3:07 - loss: 39.2189 - logits_profile_predictions_loss: 38.9116 - logcount_predictions_loss: 0.3073 61/373 [===>..........................] - ETA: 3:07 - loss: 39.1854 - logits_profile_predictions_loss: 38.8790 - logcount_predictions_loss: 0.3065 62/373 [===>..........................] - ETA: 3:07 - loss: 39.2290 - logits_profile_predictions_loss: 38.9230 - logcount_predictions_loss: 0.3060 63/373 [====>.........................] - ETA: 3:07 - loss: 39.3061 - logits_profile_predictions_loss: 38.9981 - logcount_predictions_loss: 0.3080 64/373 [====>.........................] - ETA: 3:07 - loss: 39.3481 - logits_profile_predictions_loss: 39.0417 - logcount_predictions_loss: 0.3065 65/373 [====>.........................] - ETA: 3:06 - loss: 39.4340 - logits_profile_predictions_loss: 39.1275 - logcount_predictions_loss: 0.3066 66/373 [====>.........................] - ETA: 3:06 - loss: 39.5726 - logits_profile_predictions_loss: 39.2670 - logcount_predictions_loss: 0.3057 67/373 [====>.........................] - ETA: 3:05 - loss: 39.4879 - logits_profile_predictions_loss: 39.1828 - logcount_predictions_loss: 0.3051 68/373 [====>.........................] - ETA: 3:05 - loss: 39.4440 - logits_profile_predictions_loss: 39.1392 - logcount_predictions_loss: 0.3048 69/373 [====>.........................] - ETA: 3:04 - loss: 39.4624 - logits_profile_predictions_loss: 39.1598 - logcount_predictions_loss: 0.3027 70/373 [====>.........................] - ETA: 3:03 - loss: 39.4996 - logits_profile_predictions_loss: 39.1970 - logcount_predictions_loss: 0.3025 71/373 [====>.........................] - ETA: 3:03 - loss: 39.4781 - logits_profile_predictions_loss: 39.1763 - logcount_predictions_loss: 0.3018 72/373 [====>.........................] - ETA: 3:03 - loss: 39.4753 - logits_profile_predictions_loss: 39.1723 - logcount_predictions_loss: 0.3030 73/373 [====>.........................] - ETA: 3:03 - loss: 39.4307 - logits_profile_predictions_loss: 39.1285 - logcount_predictions_loss: 0.3022 74/373 [====>.........................] - ETA: 3:02 - loss: 39.3931 - logits_profile_predictions_loss: 39.0909 - logcount_predictions_loss: 0.3022 75/373 [=====>........................] - ETA: 3:02 - loss: 39.3948 - logits_profile_predictions_loss: 39.0928 - logcount_predictions_loss: 0.3020 76/373 [=====>........................] - ETA: 3:02 - loss: 39.2770 - logits_profile_predictions_loss: 38.9753 - logcount_predictions_loss: 0.3017 77/373 [=====>........................] - ETA: 3:01 - loss: 39.2619 - logits_profile_predictions_loss: 38.9607 - logcount_predictions_loss: 0.3012 78/373 [=====>........................] - ETA: 3:00 - loss: 39.2521 - logits_profile_predictions_loss: 38.9518 - logcount_predictions_loss: 0.3004 79/373 [=====>........................] - ETA: 3:00 - loss: 39.2298 - logits_profile_predictions_loss: 38.9294 - logcount_predictions_loss: 0.3004 80/373 [=====>........................] - ETA: 2:59 - loss: 39.1758 - logits_profile_predictions_loss: 38.8754 - logcount_predictions_loss: 0.3004 81/373 [=====>........................] - ETA: 2:59 - loss: 39.1562 - logits_profile_predictions_loss: 38.8564 - logcount_predictions_loss: 0.2999 82/373 [=====>........................] - ETA: 2:58 - loss: 39.0707 - logits_profile_predictions_loss: 38.7715 - logcount_predictions_loss: 0.2992 83/373 [=====>........................] - ETA: 2:58 - loss: 39.0011 - logits_profile_predictions_loss: 38.7017 - logcount_predictions_loss: 0.2995 84/373 [=====>........................] - ETA: 2:58 - loss: 39.0549 - logits_profile_predictions_loss: 38.7561 - logcount_predictions_loss: 0.2988 85/373 [=====>........................] - ETA: 2:57 - loss: 39.0222 - logits_profile_predictions_loss: 38.7241 - logcount_predictions_loss: 0.2980 86/373 [=====>........................] - ETA: 2:57 - loss: 39.0373 - logits_profile_predictions_loss: 38.7391 - logcount_predictions_loss: 0.2982 87/373 [=====>........................] - ETA: 2:56 - loss: 39.0924 - logits_profile_predictions_loss: 38.7938 - logcount_predictions_loss: 0.2986 88/373 [======>.......................] - ETA: 2:56 - loss: 39.0887 - logits_profile_predictions_loss: 38.7897 - logcount_predictions_loss: 0.2990 89/373 [======>.......................] - ETA: 2:55 - loss: 39.0724 - logits_profile_predictions_loss: 38.7734 - logcount_predictions_loss: 0.2990 90/373 [======>.......................] - ETA: 2:54 - loss: 39.0920 - logits_profile_predictions_loss: 38.7933 - logcount_predictions_loss: 0.2987 91/373 [======>.......................] - ETA: 2:54 - loss: 39.0952 - logits_profile_predictions_loss: 38.7968 - logcount_predictions_loss: 0.2984 92/373 [======>.......................] - ETA: 2:53 - loss: 39.1113 - logits_profile_predictions_loss: 38.8133 - logcount_predictions_loss: 0.2980 93/373 [======>.......................] - ETA: 2:53 - loss: 39.1134 - logits_profile_predictions_loss: 38.8149 - logcount_predictions_loss: 0.2985 94/373 [======>.......................] - ETA: 2:52 - loss: 39.0760 - logits_profile_predictions_loss: 38.7778 - logcount_predictions_loss: 0.2982 95/373 [======>.......................] - ETA: 2:52 - loss: 39.1231 - logits_profile_predictions_loss: 38.8252 - logcount_predictions_loss: 0.2979 96/373 [======>.......................] - ETA: 2:51 - loss: 39.1767 - logits_profile_predictions_loss: 38.8784 - logcount_predictions_loss: 0.2983 97/373 [======>.......................] - ETA: 2:51 - loss: 39.1799 - logits_profile_predictions_loss: 38.8820 - logcount_predictions_loss: 0.2979 98/373 [======>.......................] - ETA: 2:50 - loss: 39.1277 - logits_profile_predictions_loss: 38.8292 - logcount_predictions_loss: 0.2984 99/373 [======>.......................] - ETA: 2:50 - loss: 39.1307 - logits_profile_predictions_loss: 38.8324 - logcount_predictions_loss: 0.2983 100/373 [=======>......................] - ETA: 2:49 - loss: 39.0972 - logits_profile_predictions_loss: 38.7999 - logcount_predictions_loss: 0.2974 101/373 [=======>......................] - ETA: 2:49 - loss: 39.1096 - logits_profile_predictions_loss: 38.8125 - logcount_predictions_loss: 0.2971 102/373 [=======>......................] - ETA: 2:48 - loss: 39.0682 - logits_profile_predictions_loss: 38.7718 - logcount_predictions_loss: 0.2964 103/373 [=======>......................] - ETA: 2:47 - loss: 39.1274 - logits_profile_predictions_loss: 38.8307 - logcount_predictions_loss: 0.2967 104/373 [=======>......................] - ETA: 2:47 - loss: 39.1283 - logits_profile_predictions_loss: 38.8316 - logcount_predictions_loss: 0.2967 105/373 [=======>......................] - ETA: 2:46 - loss: 39.1037 - logits_profile_predictions_loss: 38.8056 - logcount_predictions_loss: 0.2981 106/373 [=======>......................] - ETA: 2:46 - loss: 39.1589 - logits_profile_predictions_loss: 38.8608 - logcount_predictions_loss: 0.2982 107/373 [=======>......................] - ETA: 2:45 - loss: 39.1267 - logits_profile_predictions_loss: 38.8291 - logcount_predictions_loss: 0.2976 108/373 [=======>......................] - ETA: 2:45 - loss: 39.0957 - logits_profile_predictions_loss: 38.7979 - logcount_predictions_loss: 0.2978 109/373 [=======>......................] - ETA: 2:44 - loss: 39.1275 - logits_profile_predictions_loss: 38.8293 - logcount_predictions_loss: 0.2982 110/373 [=======>......................] - ETA: 2:44 - loss: 39.0578 - logits_profile_predictions_loss: 38.7604 - logcount_predictions_loss: 0.2974 111/373 [=======>......................] - ETA: 2:43 - loss: 39.0715 - logits_profile_predictions_loss: 38.7740 - logcount_predictions_loss: 0.2976 112/373 [========>.....................] - ETA: 2:42 - loss: 39.1147 - logits_profile_predictions_loss: 38.8167 - logcount_predictions_loss: 0.2980 113/373 [========>.....................] - ETA: 2:42 - loss: 39.1074 - logits_profile_predictions_loss: 38.8100 - logcount_predictions_loss: 0.2974 114/373 [========>.....................] - ETA: 2:41 - loss: 39.1561 - logits_profile_predictions_loss: 38.8583 - logcount_predictions_loss: 0.2978 115/373 [========>.....................] - ETA: 2:41 - loss: 39.1177 - logits_profile_predictions_loss: 38.8201 - logcount_predictions_loss: 0.2976 116/373 [========>.....................] - ETA: 2:40 - loss: 39.1109 - logits_profile_predictions_loss: 38.8133 - logcount_predictions_loss: 0.2977 117/373 [========>.....................] - ETA: 2:40 - loss: 39.0474 - logits_profile_predictions_loss: 38.7503 - logcount_predictions_loss: 0.2971 118/373 [========>.....................] - ETA: 2:39 - loss: 39.0782 - logits_profile_predictions_loss: 38.7811 - logcount_predictions_loss: 0.2971 119/373 [========>.....................] - ETA: 2:38 - loss: 39.0820 - logits_profile_predictions_loss: 38.7851 - logcount_predictions_loss: 0.2969 120/373 [========>.....................] - ETA: 2:38 - loss: 39.0892 - logits_profile_predictions_loss: 38.7928 - logcount_predictions_loss: 0.2964 121/373 [========>.....................] - ETA: 2:37 - loss: 39.1133 - logits_profile_predictions_loss: 38.8157 - logcount_predictions_loss: 0.2976 122/373 [========>.....................] - ETA: 2:37 - loss: 39.0933 - logits_profile_predictions_loss: 38.7964 - logcount_predictions_loss: 0.2969 123/373 [========>.....................] - ETA: 2:36 - loss: 39.1331 - logits_profile_predictions_loss: 38.8371 - logcount_predictions_loss: 0.2960 124/373 [========>.....................] - ETA: 2:35 - loss: 39.1428 - 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logits_profile_predictions_loss: 38.7371 - logcount_predictions_loss: 0.2870 285/373 [=====================>........] - ETA: 56s - loss: 39.0110 - logits_profile_predictions_loss: 38.7240 - logcount_predictions_loss: 0.2871 286/373 [======================>.......] - ETA: 56s - loss: 39.0053 - logits_profile_predictions_loss: 38.7184 - logcount_predictions_loss: 0.2869 287/373 [======================>.......] - ETA: 55s - loss: 38.9997 - logits_profile_predictions_loss: 38.7130 - logcount_predictions_loss: 0.2867 288/373 [======================>.......] - ETA: 54s - loss: 39.0222 - logits_profile_predictions_loss: 38.7353 - logcount_predictions_loss: 0.2868 289/373 [======================>.......] - ETA: 54s - loss: 39.0371 - logits_profile_predictions_loss: 38.7501 - logcount_predictions_loss: 0.2869 290/373 [======================>.......] - ETA: 53s - loss: 39.0558 - logits_profile_predictions_loss: 38.7687 - logcount_predictions_loss: 0.2871 291/373 [======================>.......] - ETA: 52s - loss: 39.0553 - logits_profile_predictions_loss: 38.7683 - logcount_predictions_loss: 0.2869 292/373 [======================>.......] - ETA: 52s - loss: 39.0699 - logits_profile_predictions_loss: 38.7830 - logcount_predictions_loss: 0.2869 293/373 [======================>.......] - ETA: 51s - loss: 39.0721 - logits_profile_predictions_loss: 38.7853 - logcount_predictions_loss: 0.2868 294/373 [======================>.......] - ETA: 51s - loss: 39.0681 - logits_profile_predictions_loss: 38.7810 - logcount_predictions_loss: 0.2871 295/373 [======================>.......] - ETA: 50s - loss: 39.0862 - logits_profile_predictions_loss: 38.7989 - logcount_predictions_loss: 0.2873 296/373 [======================>.......] - ETA: 49s - loss: 39.0926 - logits_profile_predictions_loss: 38.8053 - logcount_predictions_loss: 0.2873 297/373 [======================>.......] - ETA: 49s - loss: 39.1149 - logits_profile_predictions_loss: 38.8273 - logcount_predictions_loss: 0.2876 298/373 [======================>.......] - ETA: 48s - loss: 39.1464 - logits_profile_predictions_loss: 38.8586 - logcount_predictions_loss: 0.2878 299/373 [=======================>......] - ETA: 47s - loss: 39.1481 - logits_profile_predictions_loss: 38.8602 - logcount_predictions_loss: 0.2878 300/373 [=======================>......] - ETA: 47s - loss: 39.1550 - logits_profile_predictions_loss: 38.8670 - logcount_predictions_loss: 0.2880 301/373 [=======================>......] - ETA: 46s - loss: 39.1595 - logits_profile_predictions_loss: 38.8714 - logcount_predictions_loss: 0.2881 302/373 [=======================>......] - ETA: 45s - loss: 39.1511 - logits_profile_predictions_loss: 38.8633 - logcount_predictions_loss: 0.2878 303/373 [=======================>......] - ETA: 45s - loss: 39.1839 - logits_profile_predictions_loss: 38.8963 - logcount_predictions_loss: 0.2876 304/373 [=======================>......] - ETA: 44s - loss: 39.1797 - logits_profile_predictions_loss: 38.8921 - logcount_predictions_loss: 0.2876 305/373 [=======================>......] - ETA: 43s - loss: 39.1944 - logits_profile_predictions_loss: 38.9066 - logcount_predictions_loss: 0.2878 306/373 [=======================>......] - ETA: 43s - loss: 39.1960 - logits_profile_predictions_loss: 38.9082 - logcount_predictions_loss: 0.2878 307/373 [=======================>......] - ETA: 42s - loss: 39.1932 - logits_profile_predictions_loss: 38.9058 - logcount_predictions_loss: 0.2874 308/373 [=======================>......] - ETA: 42s - loss: 39.1899 - logits_profile_predictions_loss: 38.9027 - logcount_predictions_loss: 0.2873 309/373 [=======================>......] - ETA: 41s - loss: 39.1823 - logits_profile_predictions_loss: 38.8952 - logcount_predictions_loss: 0.2871 310/373 [=======================>......] - ETA: 40s - loss: 39.1969 - logits_profile_predictions_loss: 38.9099 - logcount_predictions_loss: 0.2870 311/373 [========================>.....] - ETA: 40s - loss: 39.1837 - logits_profile_predictions_loss: 38.8968 - logcount_predictions_loss: 0.2869 312/373 [========================>.....] - ETA: 39s - loss: 39.1857 - logits_profile_predictions_loss: 38.8988 - logcount_predictions_loss: 0.2869 313/373 [========================>.....] - ETA: 38s - loss: 39.1992 - logits_profile_predictions_loss: 38.9123 - logcount_predictions_loss: 0.2869 314/373 [========================>.....] - ETA: 38s - loss: 39.1963 - logits_profile_predictions_loss: 38.9094 - logcount_predictions_loss: 0.2869 315/373 [========================>.....] - ETA: 37s - loss: 39.1838 - logits_profile_predictions_loss: 38.8969 - logcount_predictions_loss: 0.2869 316/373 [========================>.....] - ETA: 36s - loss: 39.1877 - logits_profile_predictions_loss: 38.9010 - logcount_predictions_loss: 0.2868 317/373 [========================>.....] - ETA: 36s - loss: 39.1978 - logits_profile_predictions_loss: 38.9109 - logcount_predictions_loss: 0.2869 318/373 [========================>.....] - ETA: 35s - loss: 39.1738 - logits_profile_predictions_loss: 38.8871 - logcount_predictions_loss: 0.2866 319/373 [========================>.....] - ETA: 34s - loss: 39.1903 - logits_profile_predictions_loss: 38.9038 - logcount_predictions_loss: 0.2865 320/373 [========================>.....] - ETA: 34s - loss: 39.1949 - logits_profile_predictions_loss: 38.9080 - logcount_predictions_loss: 0.2869 321/373 [========================>.....] - ETA: 33s - loss: 39.1985 - logits_profile_predictions_loss: 38.9116 - logcount_predictions_loss: 0.2870 322/373 [========================>.....] - ETA: 33s - loss: 39.1865 - logits_profile_predictions_loss: 38.8988 - logcount_predictions_loss: 0.2876 323/373 [========================>.....] - ETA: 32s - loss: 39.2128 - logits_profile_predictions_loss: 38.9250 - logcount_predictions_loss: 0.2879 324/373 [=========================>....] - ETA: 31s - loss: 39.2030 - logits_profile_predictions_loss: 38.9151 - logcount_predictions_loss: 0.2879 325/373 [=========================>....] - ETA: 31s - loss: 39.2170 - logits_profile_predictions_loss: 38.9286 - logcount_predictions_loss: 0.2884 326/373 [=========================>....] - ETA: 30s - loss: 39.2229 - logits_profile_predictions_loss: 38.9345 - logcount_predictions_loss: 0.2884 327/373 [=========================>....] - ETA: 29s - loss: 39.2199 - logits_profile_predictions_loss: 38.9312 - logcount_predictions_loss: 0.2887 328/373 [=========================>....] - ETA: 29s - loss: 39.2315 - logits_profile_predictions_loss: 38.9423 - logcount_predictions_loss: 0.2892 329/373 [=========================>....] - ETA: 28s - loss: 39.2187 - logits_profile_predictions_loss: 38.9295 - logcount_predictions_loss: 0.2892 330/373 [=========================>....] - ETA: 27s - loss: 39.2303 - logits_profile_predictions_loss: 38.9410 - logcount_predictions_loss: 0.2894 331/373 [=========================>....] - ETA: 27s - loss: 39.2310 - logits_profile_predictions_loss: 38.9415 - logcount_predictions_loss: 0.2895 332/373 [=========================>....] - ETA: 26s - loss: 39.2486 - logits_profile_predictions_loss: 38.9585 - logcount_predictions_loss: 0.2901 333/373 [=========================>....] - ETA: 25s - loss: 39.2399 - logits_profile_predictions_loss: 38.9499 - logcount_predictions_loss: 0.2900 334/373 [=========================>....] - ETA: 25s - loss: 39.2425 - logits_profile_predictions_loss: 38.9529 - logcount_predictions_loss: 0.2897 335/373 [=========================>....] - ETA: 24s - loss: 39.2473 - logits_profile_predictions_loss: 38.9574 - logcount_predictions_loss: 0.2899 336/373 [==========================>...] - ETA: 23s - loss: 39.2432 - logits_profile_predictions_loss: 38.9528 - logcount_predictions_loss: 0.2904 337/373 [==========================>...] - ETA: 23s - loss: 39.2397 - logits_profile_predictions_loss: 38.9494 - logcount_predictions_loss: 0.2903 338/373 [==========================>...] - ETA: 22s - loss: 39.2476 - logits_profile_predictions_loss: 38.9574 - logcount_predictions_loss: 0.2901 339/373 [==========================>...] - ETA: 22s - loss: 39.2408 - logits_profile_predictions_loss: 38.9505 - logcount_predictions_loss: 0.2903 340/373 [==========================>...] - ETA: 21s - loss: 39.2567 - logits_profile_predictions_loss: 38.9660 - logcount_predictions_loss: 0.2907 341/373 [==========================>...] - ETA: 20s - loss: 39.2729 - logits_profile_predictions_loss: 38.9822 - logcount_predictions_loss: 0.2907 342/373 [==========================>...] - ETA: 20s - loss: 39.2946 - logits_profile_predictions_loss: 39.0039 - logcount_predictions_loss: 0.2907 343/373 [==========================>...] - ETA: 19s - loss: 39.2986 - logits_profile_predictions_loss: 39.0078 - logcount_predictions_loss: 0.2908 344/373 [==========================>...] - ETA: 18s - loss: 39.2817 - logits_profile_predictions_loss: 38.9905 - logcount_predictions_loss: 0.2912 345/373 [==========================>...] - ETA: 18s - loss: 39.2658 - logits_profile_predictions_loss: 38.9747 - logcount_predictions_loss: 0.2911 346/373 [==========================>...] - ETA: 17s - loss: 39.2566 - logits_profile_predictions_loss: 38.9656 - logcount_predictions_loss: 0.2910 347/373 [==========================>...] - ETA: 16s - loss: 39.2578 - logits_profile_predictions_loss: 38.9668 - logcount_predictions_loss: 0.2910 348/373 [==========================>...] - ETA: 16s - loss: 39.2647 - logits_profile_predictions_loss: 38.9736 - logcount_predictions_loss: 0.2911 349/373 [===========================>..] - ETA: 15s - loss: 39.2548 - logits_profile_predictions_loss: 38.9637 - logcount_predictions_loss: 0.2911 350/373 [===========================>..] - ETA: 14s - loss: 39.2619 - logits_profile_predictions_loss: 38.9706 - logcount_predictions_loss: 0.2913 351/373 [===========================>..] - ETA: 14s - loss: 39.2636 - logits_profile_predictions_loss: 38.9723 - logcount_predictions_loss: 0.2913 352/373 [===========================>..] - ETA: 13s - loss: 39.2600 - logits_profile_predictions_loss: 38.9685 - logcount_predictions_loss: 0.2914 353/373 [===========================>..] - ETA: 12s - loss: 39.2618 - logits_profile_predictions_loss: 38.9704 - logcount_predictions_loss: 0.2914 354/373 [===========================>..] - ETA: 12s - loss: 39.2741 - logits_profile_predictions_loss: 38.9829 - logcount_predictions_loss: 0.2913 355/373 [===========================>..] - ETA: 11s - loss: 39.2691 - logits_profile_predictions_loss: 38.9776 - logcount_predictions_loss: 0.2915 356/373 [===========================>..] - ETA: 11s - loss: 39.2726 - logits_profile_predictions_loss: 38.9811 - logcount_predictions_loss: 0.2916 357/373 [===========================>..] - ETA: 10s - loss: 39.2657 - logits_profile_predictions_loss: 38.9743 - logcount_predictions_loss: 0.2914 358/373 [===========================>..] - ETA: 9s - loss: 39.2719 - logits_profile_predictions_loss: 38.9806 - logcount_predictions_loss: 0.2913  359/373 [===========================>..] - ETA: 9s - loss: 39.2687 - logits_profile_predictions_loss: 38.9770 - logcount_predictions_loss: 0.2916 360/373 [===========================>..] - ETA: 8s - loss: 39.2677 - logits_profile_predictions_loss: 38.9761 - logcount_predictions_loss: 0.2916 361/373 [============================>.] - ETA: 7s - loss: 39.2614 - logits_profile_predictions_loss: 38.9699 - logcount_predictions_loss: 0.2915 362/373 [============================>.] - ETA: 7s - loss: 39.2682 - logits_profile_predictions_loss: 38.9768 - logcount_predictions_loss: 0.2914 363/373 [============================>.] - ETA: 6s - loss: 39.2679 - logits_profile_predictions_loss: 38.9765 - logcount_predictions_loss: 0.2914 364/373 [============================>.] - ETA: 5s - loss: 39.2781 - logits_profile_predictions_loss: 38.9866 - logcount_predictions_loss: 0.2915 365/373 [============================>.] - ETA: 5s - loss: 39.2998 - logits_profile_predictions_loss: 39.0080 - logcount_predictions_loss: 0.2918 366/373 [============================>.] - ETA: 4s - loss: 39.3049 - logits_profile_predictions_loss: 39.0132 - logcount_predictions_loss: 0.2917 367/373 [============================>.] - ETA: 3s - loss: 39.2953 - logits_profile_predictions_loss: 39.0035 - logcount_predictions_loss: 0.2918 368/373 [============================>.] - ETA: 3s - loss: 39.2912 - logits_profile_predictions_loss: 38.9997 - logcount_predictions_loss: 0.2915 369/373 [============================>.] - ETA: 2s - loss: 39.2873 - logits_profile_predictions_loss: 38.9958 - logcount_predictions_loss: 0.2915 370/373 [============================>.] - ETA: 1s - loss: 39.3010 - logits_profile_predictions_loss: 39.0096 - logcount_predictions_loss: 0.2914 371/373 [============================>.] - ETA: 1s - loss: 39.3061 - logits_profile_predictions_loss: 39.0147 - logcount_predictions_loss: 0.2914 372/373 [============================>.] - ETA: 0s - loss: 39.3049 - logits_profile_predictions_loss: 39.0135 - logcount_predictions_loss: 0.2915 373/373 [==============================] - ETA: 0s - loss: 39.3146 - logits_profile_predictions_loss: 39.0235 - logcount_predictions_loss: 0.2911 Epoch 11: val_loss did not improve from 43.19805 Restoring model weights from the end of the best epoch: 6.  373/373 [==============================] - 251s 674ms/step - loss: 39.3146 - logits_profile_predictions_loss: 39.0235 - logcount_predictions_loss: 0.2911 - val_loss: 43.7748 - val_logits_profile_predictions_loss: 43.5107 - val_logcount_predictions_loss: 0.2641 Epoch 11: early stopping save model save model without bias got the model loading peaks... got split:test for bed regions:(6452, 10) 0/101 100/101 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 1/101 [..............................] - ETA: 18s 2/101 [..............................] - ETA: 10s 3/101 [..............................] - ETA: 10s 4/101 [>.............................] - ETA: 9s  5/101 [>.............................] - ETA: 9s 6/101 [>.............................] - ETA: 9s 7/101 [=>............................] - ETA: 9s 8/101 [=>............................] - ETA: 9s 9/101 [=>............................] - ETA: 9s 10/101 [=>............................] - ETA: 9s 11/101 [==>...........................] - ETA: 9s 12/101 [==>...........................] - ETA: 9s 13/101 [==>...........................] - ETA: 9s 14/101 [===>..........................] - ETA: 9s 15/101 [===>..........................] - ETA: 9s 16/101 [===>..........................] - ETA: 8s 17/101 [====>.........................] - ETA: 8s 18/101 [====>.........................] - ETA: 8s 19/101 [====>.........................] - ETA: 8s 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100/101 [============================>.] - ETA: 0s 101/101 [==============================] - ETA: 0s 101/101 [==============================] - 16s 158ms/step 1/101 [..............................] - ETA: 1s 2/101 [..............................] - ETA: 15s 3/101 [..............................] - ETA: 16s 4/101 [>.............................] - ETA: 16s 5/101 [>.............................] - ETA: 16s 6/101 [>.............................] - ETA: 16s 7/101 [=>............................] - ETA: 16s 8/101 [=>............................] - ETA: 16s 9/101 [=>............................] - ETA: 16s 10/101 [=>............................] - ETA: 16s 11/101 [==>...........................] - ETA: 16s 12/101 [==>...........................] - ETA: 16s 13/101 [==>...........................] - ETA: 16s 14/101 [===>..........................] - ETA: 16s 15/101 [===>..........................] - ETA: 16s 16/101 [===>..........................] - ETA: 16s 17/101 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[=========>....................] - ETA: 13s 37/101 [=========>....................] - ETA: 12s 38/101 [==========>...................] - ETA: 12s 39/101 [==========>...................] - ETA: 12s 40/101 [==========>...................] - ETA: 12s 41/101 [===========>..................] - ETA: 12s 42/101 [===========>..................] - ETA: 11s 43/101 [===========>..................] - ETA: 11s 44/101 [============>.................] - ETA: 11s 45/101 [============>.................] - ETA: 11s 46/101 [============>.................] - ETA: 11s 47/101 [============>.................] - ETA: 10s 48/101 [=============>................] - ETA: 10s 49/101 [=============>................] - ETA: 10s 50/101 [=============>................] - ETA: 10s 51/101 [==============>...............] - ETA: 10s 52/101 [==============>...............] - ETA: 9s  53/101 [==============>...............] - ETA: 9s 54/101 [===============>..............] - ETA: 9s 55/101 [===============>..............] - ETA: 9s 56/101 [===============>..............] - ETA: 9s 57/101 [===============>..............] - ETA: 8s 58/101 [================>.............] - ETA: 8s 59/101 [================>.............] - ETA: 8s 60/101 [================>.............] - ETA: 8s 61/101 [=================>............] - ETA: 8s 62/101 [=================>............] - ETA: 7s 63/101 [=================>............] - ETA: 7s 64/101 [==================>...........] - ETA: 7s 65/101 [==================>...........] - ETA: 7s 66/101 [==================>...........] - ETA: 7s 67/101 [==================>...........] - ETA: 6s 68/101 [===================>..........] - ETA: 6s 69/101 [===================>..........] - ETA: 6s 70/101 [===================>..........] - ETA: 6s 71/101 [====================>.........] - ETA: 6s 72/101 [====================>.........] - ETA: 5s 73/101 [====================>.........] - ETA: 5s 74/101 [====================>.........] - ETA: 5s 75/101 [=====================>........] - ETA: 5s 76/101 [=====================>........] - ETA: 5s 77/101 [=====================>........] - ETA: 4s 78/101 [======================>.......] - ETA: 4s 79/101 [======================>.......] - ETA: 4s 80/101 [======================>.......] - ETA: 4s 81/101 [=======================>......] - ETA: 4s 82/101 [=======================>......] - ETA: 3s 83/101 [=======================>......] - ETA: 3s 84/101 [=======================>......] - ETA: 3s 85/101 [========================>.....] - ETA: 3s 86/101 [========================>.....] - ETA: 3s 87/101 [========================>.....] - ETA: 2s 88/101 [=========================>....] - ETA: 2s 89/101 [=========================>....] - ETA: 2s 90/101 [=========================>....] - ETA: 2s 91/101 [==========================>...] - ETA: 2s 92/101 [==========================>...] - ETA: 1s 93/101 [==========================>...] - ETA: 1s 94/101 [==========================>...] - ETA: 1s 95/101 [===========================>..] - ETA: 1s 96/101 [===========================>..] - ETA: 1s 97/101 [===========================>..] - ETA: 0s 98/101 [============================>.] - ETA: 0s 99/101 [============================>.] - ETA: 0s 100/101 [============================>.] - ETA: 0s 101/101 [==============================] - ETA: 0s 101/101 [==============================] - 21s 206ms/step inserting motif: tn5_1 GCACAGTACAGAGCTG 1/101 [..............................] - ETA: 1s 2/101 [..............................] - ETA: 15s 3/101 [..............................] - ETA: 17s 4/101 [>.............................] - ETA: 17s 5/101 [>.............................] - ETA: 17s 6/101 [>.............................] - ETA: 17s 7/101 [=>............................] - ETA: 17s 8/101 [=>............................] - ETA: 17s 9/101 [=>............................] - ETA: 17s 10/101 [=>............................] - ETA: 17s 11/101 [==>...........................] - ETA: 17s 12/101 [==>...........................] 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ETA: 1s 89/101 [=========================>....] - ETA: 1s 90/101 [=========================>....] - ETA: 1s 91/101 [==========================>...] - ETA: 1s 92/101 [==========================>...] - ETA: 1s 93/101 [==========================>...] - ETA: 0s 94/101 [==========================>...] - ETA: 0s 95/101 [===========================>..] - ETA: 0s 96/101 [===========================>..] - ETA: 0s 97/101 [===========================>..] - ETA: 0s 98/101 [============================>.] - ETA: 0s 99/101 [============================>.] - ETA: 0s 100/101 [============================>.] - ETA: 0s 101/101 [==============================] - ETA: 0s 101/101 [==============================] - 13s 128ms/step inserting motif: tn5_2 GTGCACAGTTCTAGAGTGTGCAG 1/101 [..............................] - ETA: 1s 2/101 [..............................] - ETA: 13s 3/101 [..............................] - ETA: 13s 4/101 [>.............................] - ETA: 13s 5/101 [>.............................] - ETA: 14s 6/101 [>.............................] - ETA: 14s 7/101 [=>............................] - ETA: 14s 8/101 [=>............................] - ETA: 14s 9/101 [=>............................] - ETA: 14s 10/101 [=>............................] - ETA: 15s 11/101 [==>...........................] - ETA: 15s 12/101 [==>...........................] - ETA: 15s 13/101 [==>...........................] - ETA: 15s 14/101 [===>..........................] - ETA: 15s 15/101 [===>..........................] - ETA: 15s 16/101 [===>..........................] - ETA: 14s 17/101 [====>.........................] - ETA: 14s 18/101 [====>.........................] - ETA: 14s 19/101 [====>.........................] - ETA: 14s 20/101 [====>.........................] - ETA: 14s 21/101 [=====>........................] - ETA: 14s 22/101 [=====>........................] - ETA: 14s 23/101 [=====>........................] - ETA: 14s 24/101 [======>.......................] - 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[============>.................] - ETA: 10s 45/101 [============>.................] - ETA: 10s 46/101 [============>.................] - ETA: 10s 47/101 [============>.................] - ETA: 10s 48/101 [=============>................] - ETA: 10s 49/101 [=============>................] - ETA: 9s  50/101 [=============>................] - ETA: 9s 51/101 [==============>...............] - ETA: 9s 52/101 [==============>...............] - ETA: 9s 53/101 [==============>...............] - ETA: 9s 54/101 [===============>..............] - ETA: 9s 55/101 [===============>..............] - ETA: 8s 56/101 [===============>..............] - ETA: 8s 57/101 [===============>..............] - ETA: 8s 58/101 [================>.............] - ETA: 8s 59/101 [================>.............] - ETA: 8s 60/101 [================>.............] - ETA: 7s 61/101 [=================>............] - ETA: 7s 62/101 [=================>............] - ETA: 7s 63/101 [=================>............] - ETA: 7s 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ETA: 1s 2/101 [..............................] - ETA: 15s 3/101 [..............................] - ETA: 16s 4/101 [>.............................] - ETA: 16s 5/101 [>.............................] - ETA: 17s 6/101 [>.............................] - ETA: 17s 7/101 [=>............................] - ETA: 17s 8/101 [=>............................] - ETA: 17s 9/101 [=>............................] - ETA: 17s 10/101 [=>............................] - ETA: 17s 11/101 [==>...........................] - ETA: 17s 12/101 [==>...........................] - ETA: 17s 13/101 [==>...........................] - ETA: 17s 14/101 [===>..........................] - ETA: 17s 15/101 [===>..........................] - ETA: 16s 16/101 [===>..........................] - ETA: 16s 17/101 [====>.........................] - ETA: 16s 18/101 [====>.........................] - ETA: 16s 19/101 [====>.........................] - ETA: 16s 20/101 [====>.........................] - ETA: 16s 21/101 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ETA: 8s 60/101 [================>.............] - ETA: 8s 61/101 [=================>............] - ETA: 8s 62/101 [=================>............] - ETA: 8s 63/101 [=================>............] - ETA: 7s 64/101 [==================>...........] - ETA: 7s 65/101 [==================>...........] - ETA: 7s 66/101 [==================>...........] - ETA: 7s 67/101 [==================>...........] - ETA: 7s 68/101 [===================>..........] - ETA: 6s 69/101 [===================>..........] - ETA: 6s 70/101 [===================>..........] - ETA: 6s 71/101 [====================>.........] - ETA: 6s 72/101 [====================>.........] - ETA: 6s 73/101 [====================>.........] - ETA: 5s 74/101 [====================>.........] - ETA: 5s 75/101 [=====================>........] - ETA: 5s 76/101 [=====================>........] - ETA: 5s 77/101 [=====================>........] - ETA: 5s 78/101 [======================>.......] - ETA: 4s 79/101 [======================>.......] - ETA: 4s 80/101 [======================>.......] - ETA: 4s 81/101 [=======================>......] - ETA: 4s 82/101 [=======================>......] - ETA: 4s 83/101 [=======================>......] - ETA: 3s 84/101 [=======================>......] - ETA: 3s 85/101 [========================>.....] - ETA: 3s 86/101 [========================>.....] - ETA: 3s 87/101 [========================>.....] - ETA: 2s 88/101 [=========================>....] - ETA: 2s 89/101 [=========================>....] - ETA: 2s 90/101 [=========================>....] - ETA: 2s 91/101 [==========================>...] - ETA: 2s 92/101 [==========================>...] - ETA: 1s 93/101 [==========================>...] - ETA: 1s 94/101 [==========================>...] - ETA: 1s 95/101 [===========================>..] - ETA: 1s 96/101 [===========================>..] - ETA: 1s 97/101 [===========================>..] - ETA: 0s 98/101 [============================>.] - ETA: 0s 99/101 [============================>.] - ETA: 0s 100/101 [============================>.] - ETA: 0s 101/101 [==============================] - ETA: 0s 101/101 [==============================] - 21s 211ms/step inserting motif: tn5_3 CCTCTACACTGTGCAGAA 1/101 [..............................] - ETA: 1s 2/101 [..............................] - ETA: 16s 3/101 [..............................] - ETA: 17s 4/101 [>.............................] - ETA: 17s 5/101 [>.............................] - ETA: 18s 6/101 [>.............................] - ETA: 19s 7/101 [=>............................] - ETA: 19s 8/101 [=>............................] - ETA: 19s 9/101 [=>............................] - ETA: 19s 10/101 [=>............................] - ETA: 19s 11/101 [==>...........................] - ETA: 19s 12/101 [==>...........................] - ETA: 19s 13/101 [==>...........................] - ETA: 19s 14/101 [===>..........................] - ETA: 18s 15/101 [===>..........................] - ETA: 18s 16/101 [===>..........................] - ETA: 18s 17/101 [====>.........................] - ETA: 18s 18/101 [====>.........................] - ETA: 17s 19/101 [====>.........................] - ETA: 17s 20/101 [====>.........................] - ETA: 17s 21/101 [=====>........................] - ETA: 17s 22/101 [=====>........................] - ETA: 16s 23/101 [=====>........................] - ETA: 16s 24/101 [======>.......................] - ETA: 16s 25/101 [======>.......................] - ETA: 16s 26/101 [======>.......................] - ETA: 16s 27/101 [=======>......................] - ETA: 16s 28/101 [=======>......................] - ETA: 15s 29/101 [=======>......................] - ETA: 15s 30/101 [=======>......................] - ETA: 15s 31/101 [========>.....................] - ETA: 15s 32/101 [========>.....................] - ETA: 14s 33/101 [========>.....................] - ETA: 14s 34/101 [=========>....................] - ETA: 14s 35/101 [=========>....................] - ETA: 14s 36/101 [=========>....................] - ETA: 13s 37/101 [=========>....................] - ETA: 13s 38/101 [==========>...................] - ETA: 13s 39/101 [==========>...................] - ETA: 13s 40/101 [==========>...................] - ETA: 12s 41/101 [===========>..................] - ETA: 12s 42/101 [===========>..................] - ETA: 12s 43/101 [===========>..................] - ETA: 12s 44/101 [============>.................] - ETA: 12s 45/101 [============>.................] - ETA: 11s 46/101 [============>.................] - ETA: 11s 47/101 [============>.................] - ETA: 11s 48/101 [=============>................] - ETA: 11s 49/101 [=============>................] - ETA: 11s 50/101 [=============>................] - ETA: 10s 51/101 [==============>...............] - ETA: 10s 52/101 [==============>...............] - ETA: 10s 53/101 [==============>...............] - ETA: 10s 54/101 [===============>..............] - ETA: 10s 55/101 [===============>..............] - ETA: 9s  56/101 [===============>..............] - ETA: 9s 57/101 [===============>..............] - ETA: 9s 58/101 [================>.............] - ETA: 9s 59/101 [================>.............] - ETA: 9s 60/101 [================>.............] - ETA: 8s 61/101 [=================>............] - ETA: 8s 62/101 [=================>............] - ETA: 8s 63/101 [=================>............] - ETA: 8s 64/101 [==================>...........] - ETA: 7s 65/101 [==================>...........] - ETA: 7s 66/101 [==================>...........] - ETA: 7s 67/101 [==================>...........] - ETA: 7s 68/101 [===================>..........] - ETA: 7s 69/101 [===================>..........] - ETA: 6s 70/101 [===================>..........] - ETA: 6s 71/101 [====================>.........] - ETA: 6s 72/101 [====================>.........] - ETA: 6s 73/101 [====================>.........] - ETA: 6s 74/101 [====================>.........] - ETA: 5s 75/101 [=====================>........] - ETA: 5s 76/101 [=====================>........] - ETA: 5s 77/101 [=====================>........] - ETA: 5s 78/101 [======================>.......] - ETA: 4s 79/101 [======================>.......] - ETA: 4s 80/101 [======================>.......] - ETA: 4s 81/101 [=======================>......] - ETA: 4s 82/101 [=======================>......] - ETA: 4s 83/101 [=======================>......] - ETA: 3s 84/101 [=======================>......] - ETA: 3s 85/101 [========================>.....] - ETA: 3s 86/101 [========================>.....] - ETA: 3s 87/101 [========================>.....] - ETA: 3s 88/101 [=========================>....] - ETA: 2s 89/101 [=========================>....] - ETA: 2s 90/101 [=========================>....] - ETA: 2s 91/101 [==========================>...] - ETA: 2s 92/101 [==========================>...] - ETA: 1s 93/101 [==========================>...] - ETA: 1s 94/101 [==========================>...] - ETA: 1s 95/101 [===========================>..] - ETA: 1s 96/101 [===========================>..] - ETA: 1s 97/101 [===========================>..] - ETA: 0s 98/101 [============================>.] - ETA: 0s 99/101 [============================>.] - ETA: 0s 100/101 [============================>.] - ETA: 0s 101/101 [==============================] - ETA: 0s 101/101 [==============================] - 22s 215ms/step 1/101 [..............................] - ETA: 1s 2/101 [..............................] - ETA: 16s 3/101 [..............................] - ETA: 17s 4/101 [>.............................] - ETA: 18s 5/101 [>.............................] - ETA: 18s 6/101 [>.............................] - ETA: 18s 7/101 [=>............................] - ETA: 18s 8/101 [=>............................] - ETA: 17s 9/101 [=>............................] - ETA: 17s 10/101 [=>............................] - ETA: 17s 11/101 [==>...........................] - ETA: 18s 12/101 [==>...........................] - ETA: 18s 13/101 [==>...........................] - ETA: 18s 14/101 [===>..........................] - ETA: 18s 15/101 [===>..........................] - ETA: 18s 16/101 [===>..........................] - ETA: 18s 17/101 [====>.........................] - ETA: 17s 18/101 [====>.........................] - ETA: 17s 19/101 [====>.........................] - ETA: 17s 20/101 [====>.........................] - ETA: 17s 21/101 [=====>........................] - ETA: 16s 22/101 [=====>........................] - ETA: 16s 23/101 [=====>........................] - ETA: 16s 24/101 [======>.......................] - ETA: 16s 25/101 [======>.......................] - ETA: 15s 26/101 [======>.......................] - ETA: 15s 27/101 [=======>......................] - ETA: 15s 28/101 [=======>......................] - ETA: 15s 29/101 [=======>......................] - ETA: 14s 30/101 [=======>......................] - ETA: 14s 31/101 [========>.....................] - ETA: 14s 32/101 [========>.....................] - ETA: 14s 33/101 [========>.....................] - ETA: 14s 34/101 [=========>....................] - ETA: 13s 35/101 [=========>....................] - ETA: 13s 36/101 [=========>....................] - ETA: 13s 37/101 [=========>....................] - ETA: 13s 38/101 [==========>...................] - ETA: 13s 39/101 [==========>...................] - ETA: 13s 40/101 [==========>...................] - ETA: 13s 41/101 [===========>..................] - ETA: 12s 42/101 [===========>..................] - ETA: 12s 43/101 [===========>..................] - ETA: 12s 44/101 [============>.................] - ETA: 12s 45/101 [============>.................] - ETA: 12s 46/101 [============>.................] - ETA: 11s 47/101 [============>.................] - ETA: 11s 48/101 [=============>................] - ETA: 11s 49/101 [=============>................] - ETA: 11s 50/101 [=============>................] - ETA: 10s 51/101 [==============>...............] - ETA: 10s 52/101 [==============>...............] - ETA: 10s 53/101 [==============>...............] - ETA: 10s 54/101 [===============>..............] - ETA: 10s 55/101 [===============>..............] - ETA: 9s  56/101 [===============>..............] - ETA: 9s 57/101 [===============>..............] - ETA: 9s 58/101 [================>.............] - ETA: 9s 59/101 [================>.............] - ETA: 9s 60/101 [================>.............] - ETA: 8s 61/101 [=================>............] - ETA: 8s 62/101 [=================>............] - ETA: 8s 63/101 [=================>............] - ETA: 8s 64/101 [==================>...........] - ETA: 7s 65/101 [==================>...........] - ETA: 7s 66/101 [==================>...........] - ETA: 7s 67/101 [==================>...........] - ETA: 7s 68/101 [===================>..........] - ETA: 7s 69/101 [===================>..........] - ETA: 6s 70/101 [===================>..........] - ETA: 6s 71/101 [====================>.........] - ETA: 6s 72/101 [====================>.........] - ETA: 6s 73/101 [====================>.........] - ETA: 6s 74/101 [====================>.........] - ETA: 5s 75/101 [=====================>........] - ETA: 5s 76/101 [=====================>........] - ETA: 5s 77/101 [=====================>........] - ETA: 5s 78/101 [======================>.......] - ETA: 4s 79/101 [======================>.......] - ETA: 4s 80/101 [======================>.......] - ETA: 4s 81/101 [=======================>......] - ETA: 4s 82/101 [=======================>......] - ETA: 4s 83/101 [=======================>......] - ETA: 3s 84/101 [=======================>......] - ETA: 3s 85/101 [========================>.....] - ETA: 3s 86/101 [========================>.....] - ETA: 3s 87/101 [========================>.....] - ETA: 3s 88/101 [=========================>....] - ETA: 2s 89/101 [=========================>....] - ETA: 2s 90/101 [=========================>....] - ETA: 2s 91/101 [==========================>...] - ETA: 2s 92/101 [==========================>...] - ETA: 1s 93/101 [==========================>...] - ETA: 1s 94/101 [==========================>...] - ETA: 1s 95/101 [===========================>..] - ETA: 1s 96/101 [===========================>..] - ETA: 1s 97/101 [===========================>..] - ETA: 0s 98/101 [============================>.] - ETA: 0s 99/101 [============================>.] - ETA: 0s 100/101 [============================>.] - ETA: 0s 101/101 [==============================] - ETA: 0s 101/101 [==============================] - 22s 216ms/step inserting motif: tn5_4 GCACAGTTCTAGACTGTGCAG 1/101 [..............................] - ETA: 1s 2/101 [..............................] - ETA: 16s 3/101 [..............................] - ETA: 17s 4/101 [>.............................] - ETA: 17s 5/101 [>.............................] - ETA: 17s 6/101 [>.............................] - ETA: 17s 7/101 [=>............................] - ETA: 17s 8/101 [=>............................] - ETA: 18s 9/101 [=>............................] - ETA: 18s 10/101 [=>............................] - ETA: 18s 11/101 [==>...........................] - ETA: 18s 12/101 [==>...........................] - ETA: 18s 13/101 [==>...........................] - ETA: 18s 14/101 [===>..........................] - ETA: 18s 15/101 [===>..........................] - ETA: 18s 16/101 [===>..........................] - ETA: 17s 17/101 [====>.........................] - ETA: 17s 18/101 [====>.........................] - ETA: 17s 19/101 [====>.........................] - ETA: 17s 20/101 [====>.........................] - ETA: 17s 21/101 [=====>........................] - ETA: 17s 22/101 [=====>........................] - ETA: 17s 23/101 [=====>........................] - ETA: 16s 24/101 [======>.......................] - ETA: 16s 25/101 [======>.......................] - ETA: 16s 26/101 [======>.......................] - ETA: 16s 27/101 [=======>......................] - ETA: 16s 28/101 [=======>......................] - ETA: 15s 29/101 [=======>......................] - ETA: 15s 30/101 [=======>......................] - ETA: 15s 31/101 [========>.....................] - ETA: 15s 32/101 [========>.....................] - ETA: 15s 33/101 [========>.....................] - ETA: 14s 34/101 [=========>....................] - ETA: 14s 35/101 [=========>....................] - ETA: 14s 36/101 [=========>....................] - ETA: 14s 37/101 [=========>....................] - ETA: 14s 38/101 [==========>...................] - ETA: 13s 39/101 [==========>...................] - ETA: 13s 40/101 [==========>...................] - ETA: 13s 41/101 [===========>..................] - ETA: 13s 42/101 [===========>..................] - ETA: 12s 43/101 [===========>..................] - ETA: 12s 44/101 [============>.................] - ETA: 12s 45/101 [============>.................] - ETA: 12s 46/101 [============>.................] - ETA: 12s 47/101 [============>.................] - ETA: 11s 48/101 [=============>................] - ETA: 11s 49/101 [=============>................] - ETA: 11s 50/101 [=============>................] - ETA: 11s 51/101 [==============>...............] - ETA: 11s 52/101 [==============>...............] - ETA: 10s 53/101 [==============>...............] - ETA: 10s 54/101 [===============>..............] - ETA: 10s 55/101 [===============>..............] - ETA: 10s 56/101 [===============>..............] - ETA: 9s  57/101 [===============>..............] - ETA: 9s 58/101 [================>.............] - ETA: 9s 59/101 [================>.............] - ETA: 9s 60/101 [================>.............] - ETA: 8s 61/101 [=================>............] - ETA: 8s 62/101 [=================>............] - ETA: 8s 63/101 [=================>............] - ETA: 8s 64/101 [==================>...........] - ETA: 8s 65/101 [==================>...........] - ETA: 7s 66/101 [==================>...........] - ETA: 7s 67/101 [==================>...........] - ETA: 7s 68/101 [===================>..........] - ETA: 7s 69/101 [===================>..........] - ETA: 7s 70/101 [===================>..........] - ETA: 6s 71/101 [====================>.........] - ETA: 6s 72/101 [====================>.........] - ETA: 6s 73/101 [====================>.........] - ETA: 6s 74/101 [====================>.........] - ETA: 5s 75/101 [=====================>........] - ETA: 5s 76/101 [=====================>........] - ETA: 5s 77/101 [=====================>........] - ETA: 5s 78/101 [======================>.......] - ETA: 5s 79/101 [======================>.......] - ETA: 4s 80/101 [======================>.......] - ETA: 4s 81/101 [=======================>......] - ETA: 4s 82/101 [=======================>......] - ETA: 4s 83/101 [=======================>......] - ETA: 3s 84/101 [=======================>......] - ETA: 3s 85/101 [========================>.....] - ETA: 3s 86/101 [========================>.....] - ETA: 3s 87/101 [========================>.....] - ETA: 3s 88/101 [=========================>....] - ETA: 2s 89/101 [=========================>....] - ETA: 2s 90/101 [=========================>....] - ETA: 2s 91/101 [==========================>...] - ETA: 2s 92/101 [==========================>...] - ETA: 1s 93/101 [==========================>...] - ETA: 1s 94/101 [==========================>...] - ETA: 1s 95/101 [===========================>..] - ETA: 1s 96/101 [===========================>..] - ETA: 1s 97/101 [===========================>..] - ETA: 0s 98/101 [============================>.] - ETA: 0s 99/101 [============================>.] - ETA: 0s 100/101 [============================>.] - ETA: 0s 101/101 [==============================] - ETA: 0s 101/101 [==============================] - 22s 218ms/step 1/101 [..............................] - ETA: 1s 2/101 [..............................] - ETA: 10s 3/101 [..............................] - ETA: 10s 4/101 [>.............................] - ETA: 9s  5/101 [>.............................] - ETA: 9s 6/101 [>.............................] - ETA: 9s 7/101 [=>............................] - ETA: 9s 8/101 [=>............................] - ETA: 9s 9/101 [=>............................] - ETA: 9s 10/101 [=>............................] - ETA: 9s 11/101 [==>...........................] - ETA: 9s 12/101 [==>...........................] - ETA: 9s 13/101 [==>...........................] - ETA: 9s 14/101 [===>..........................] - ETA: 8s 15/101 [===>..........................] - ETA: 8s 16/101 [===>..........................] - ETA: 8s 17/101 [====>.........................] - ETA: 8s 18/101 [====>.........................] - ETA: 8s 19/101 [====>.........................] - ETA: 8s 20/101 [====>.........................] - ETA: 8s 21/101 [=====>........................] - ETA: 8s 22/101 [=====>........................] - ETA: 8s 23/101 [=====>........................] - ETA: 8s 24/101 [======>.......................] - ETA: 7s 25/101 [======>.......................] - ETA: 7s 26/101 [======>.......................] - ETA: 7s 27/101 [=======>......................] - ETA: 7s 28/101 [=======>......................] - ETA: 7s 29/101 [=======>......................] - ETA: 7s 30/101 [=======>......................] - ETA: 7s 31/101 [========>.....................] - ETA: 7s 32/101 [========>.....................] - ETA: 7s 33/101 [========>.....................] - ETA: 7s 34/101 [=========>....................] - ETA: 6s 35/101 [=========>....................] - ETA: 6s 36/101 [=========>....................] - ETA: 6s 37/101 [=========>....................] - ETA: 6s 38/101 [==========>...................] - ETA: 6s 39/101 [==========>...................] - ETA: 6s 40/101 [==========>...................] - ETA: 6s 41/101 [===========>..................] - ETA: 6s 42/101 [===========>..................] - ETA: 6s 43/101 [===========>..................] - ETA: 6s 44/101 [============>.................] - ETA: 6s 45/101 [============>.................] - ETA: 5s 46/101 [============>.................] - ETA: 5s 47/101 [============>.................] - ETA: 5s 48/101 [=============>................] - ETA: 5s 49/101 [=============>................] - ETA: 5s 50/101 [=============>................] - ETA: 5s 51/101 [==============>...............] - ETA: 5s 52/101 [==============>...............] - ETA: 5s 53/101 [==============>...............] - ETA: 5s 54/101 [===============>..............] - ETA: 5s 55/101 [===============>..............] - ETA: 5s 56/101 [===============>..............] - ETA: 5s 57/101 [===============>..............] - ETA: 4s 58/101 [================>.............] - ETA: 4s 59/101 [================>.............] - ETA: 4s 60/101 [================>.............] - ETA: 4s 61/101 [=================>............] - ETA: 4s 62/101 [=================>............] - ETA: 4s 63/101 [=================>............] - ETA: 4s 64/101 [==================>...........] - ETA: 4s 65/101 [==================>...........] - ETA: 4s 66/101 [==================>...........] - ETA: 4s 67/101 [==================>...........] - ETA: 4s 68/101 [===================>..........] - ETA: 3s 69/101 [===================>..........] - ETA: 3s 70/101 [===================>..........] - ETA: 3s 71/101 [====================>.........] - ETA: 3s 72/101 [====================>.........] - ETA: 3s 73/101 [====================>.........] - ETA: 3s 74/101 [====================>.........] - ETA: 3s 75/101 [=====================>........] - ETA: 3s 76/101 [=====================>........] - ETA: 3s 77/101 [=====================>........] - ETA: 2s 78/101 [======================>.......] - ETA: 2s 79/101 [======================>.......] - ETA: 2s 80/101 [======================>.......] - ETA: 2s 81/101 [=======================>......] - ETA: 2s 82/101 [=======================>......] - ETA: 2s 83/101 [=======================>......] - ETA: 2s 84/101 [=======================>......] - ETA: 2s 85/101 [========================>.....] - ETA: 2s 86/101 [========================>.....] - ETA: 1s 87/101 [========================>.....] - ETA: 1s 88/101 [=========================>....] - ETA: 1s 89/101 [=========================>....] - ETA: 1s 90/101 [=========================>....] - ETA: 1s 91/101 [==========================>...] - ETA: 1s 92/101 [==========================>...] - ETA: 1s 93/101 [==========================>...] - ETA: 1s 94/101 [==========================>...] - ETA: 0s 95/101 [===========================>..] - ETA: 0s 96/101 [===========================>..] - ETA: 0s 97/101 [===========================>..] - ETA: 0s 98/101 [============================>.] - ETA: 0s 99/101 [============================>.] - ETA: 0s 100/101 [============================>.] - ETA: 0s 101/101 [==============================] - ETA: 0s 101/101 [==============================] - 14s 138ms/step inserting motif: tn5_5 CTGCACAGTGTAGAGTTGTGC 1/101 [..............................] - ETA: 1s 2/101 [..............................] - ETA: 10s 3/101 [..............................] - ETA: 10s 4/101 [>.............................] - ETA: 10s 5/101 [>.............................] - ETA: 9s  6/101 [>.............................] - ETA: 9s 7/101 [=>............................] - ETA: 9s 8/101 [=>............................] - ETA: 9s 9/101 [=>............................] - ETA: 9s 10/101 [=>............................] - ETA: 9s 11/101 [==>...........................] - ETA: 9s 12/101 [==>...........................] - ETA: 9s 13/101 [==>...........................] - ETA: 9s 14/101 [===>..........................] - ETA: 9s 15/101 [===>..........................] - ETA: 9s 16/101 [===>..........................] - ETA: 9s 17/101 [====>.........................] - ETA: 9s 18/101 [====>.........................] - ETA: 9s 19/101 [====>.........................] - ETA: 9s 20/101 [====>.........................] - ETA: 9s 21/101 [=====>........................] - ETA: 9s 22/101 [=====>........................] - ETA: 9s 23/101 [=====>........................] - ETA: 9s 24/101 [======>.......................] - ETA: 9s 25/101 [======>.......................] - ETA: 9s 26/101 [======>.......................] - ETA: 9s 27/101 [=======>......................] - ETA: 9s 28/101 [=======>......................] - ETA: 9s 29/101 [=======>......................] - ETA: 9s 30/101 [=======>......................] - ETA: 9s 31/101 [========>.....................] - ETA: 9s 32/101 [========>.....................] - ETA: 9s 33/101 [========>.....................] - ETA: 9s 34/101 [=========>....................] - ETA: 9s 35/101 [=========>....................] - ETA: 8s 36/101 [=========>....................] - ETA: 8s 37/101 [=========>....................] - ETA: 8s 38/101 [==========>...................] - ETA: 8s 39/101 [==========>...................] - ETA: 8s 40/101 [==========>...................] - ETA: 8s 41/101 [===========>..................] - ETA: 8s 42/101 [===========>..................] - ETA: 8s 43/101 [===========>..................] - ETA: 8s 44/101 [============>.................] - ETA: 8s 45/101 [============>.................] - ETA: 8s 46/101 [============>.................] - ETA: 7s 47/101 [============>.................] - ETA: 7s 48/101 [=============>................] - ETA: 7s 49/101 [=============>................] - ETA: 7s 50/101 [=============>................] - ETA: 7s 51/101 [==============>...............] - ETA: 7s 52/101 [==============>...............] - ETA: 7s 53/101 [==============>...............] - ETA: 7s 54/101 [===============>..............] - ETA: 7s 55/101 [===============>..............] - ETA: 6s 56/101 [===============>..............] - ETA: 6s 57/101 [===============>..............] - ETA: 6s 58/101 [================>.............] - ETA: 6s 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95/101 [===========================>..] - ETA: 1s 96/101 [===========================>..] - ETA: 0s 97/101 [===========================>..] - ETA: 0s 98/101 [============================>.] - ETA: 0s 99/101 [============================>.] - ETA: 0s 100/101 [============================>.] - ETA: 0s 101/101 [==============================] - ETA: 0s 101/101 [==============================] - 18s 184ms/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