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: 268091 evaluating hyperparameters on the following chromosomes ['chr1', 'chr2', 'chr3', 'chr4', 'chr7', 'chr8', 'chr9', 'chr11', 'chr12', 'chr13', 'chr15', 'chr16', 'chr17', 'chr19', 'chrX', 'chrY', 'chr6', 'chr21'] Number of peaks input: 34147 Number of peaks filtered because the input/output is on the edge: 0 Number of peaks being used: 34147 Number of peaks input: 8212 Number of peaks filtered because the input/output is on the edge: 0 Number of peaks being used: 8212 Number of non peaks input: 68294 Number of non peaks filtered because the input/output is on the edge: 0 Number of non peaks being used: 68294 Number of non peaks input: 8212 Number of non peaks filtered because the input/output is on the edge: 0 Number of non peaks being used: 8212 Number of peaks after removing outliers: 34142 Number of nonpeaks after removing outliers: 39934 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 1/1248 [..............................] - ETA: 39:08 15/1248 [..............................] - ETA: 4s  28/1248 [..............................] - ETA: 4s 41/1248 [..............................] - ETA: 4s 54/1248 [>.............................] - ETA: 4s 67/1248 [>.............................] - ETA: 4s 80/1248 [>.............................] - ETA: 4s 93/1248 [=>............................] - ETA: 4s 106/1248 [=>............................] - ETA: 4s 119/1248 [=>............................] - ETA: 4s 132/1248 [==>...........................] - ETA: 4s 145/1248 [==>...........................] - ETA: 4s 158/1248 [==>...........................] - ETA: 4s 171/1248 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[====================>.........] - ETA: 1s 918/1248 [=====================>........] - ETA: 1s 931/1248 [=====================>........] - ETA: 1s 944/1248 [=====================>........] - ETA: 1s 957/1248 [======================>.......] - ETA: 1s 970/1248 [======================>.......] - ETA: 1s 983/1248 [======================>.......] - ETA: 1s 996/1248 [======================>.......] - ETA: 0s 1009/1248 [=======================>......] - ETA: 0s 1022/1248 [=======================>......] - ETA: 0s 1035/1248 [=======================>......] - ETA: 0s 1048/1248 [========================>.....] - ETA: 0s 1061/1248 [========================>.....] - ETA: 0s 1074/1248 [========================>.....] - ETA: 0s 1087/1248 [=========================>....] - ETA: 0s 1100/1248 [=========================>....] - ETA: 0s 1113/1248 [=========================>....] - ETA: 0s 1126/1248 [==========================>...] - ETA: 0s 1139/1248 [==========================>...] - ETA: 0s 1152/1248 [==========================>...] - ETA: 0s 1165/1248 [===========================>..] - ETA: 0s 1178/1248 [===========================>..] - ETA: 0s 1191/1248 [===========================>..] - ETA: 0s 1204/1248 [===========================>..] - ETA: 0s 1217/1248 [============================>.] - ETA: 0s 1230/1248 [============================>.] - ETA: 0s 1243/1248 [============================>.] - ETA: 0s 1248/1248 [==============================] - ETA: 0s 1248/1248 [==============================] - 7s 4ms/step got the model loading peaks... got split:test for bed regions:(8212, 10) 0/129 100/129 Bias model pearsonr performance in peaks is: -0.03 {'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.lymphocyte.NI/fold_3/models/bias_model_scaled.h5', 'inputlen': '2114', 'outputlen': '1000', 'max_jitter': '500', 'chr_fold_path': '/oak/stanford/groups/akundaje/soumyak/refs/hg38/splits/fold_3.json', 'negative_sampling_ratio': '0.1'} got the model loading peaks... got split:train for bed regions:(31173, 10) loading nonpeaks... got split:train for bed regions:(31236, 10) loading peaks... got split:valid for bed regions:(2969, 10) loading nonpeaks... got split:valid for bed regions:(2906, 10) Epoch 1/50 1/536 [..............................] - ETA: 35:36 - loss: 91.4838 - logits_profile_predictions_loss: 88.8796 - logcount_predictions_loss: 2.6042 2/536 [..............................] - ETA: 1:12 - loss: 628.9446 - logits_profile_predictions_loss: 94.9970 - logcount_predictions_loss: 533.9476 3/536 [..............................] - ETA: 1:11 - loss: 445.0301 - logits_profile_predictions_loss: 88.3678 - logcount_predictions_loss: 356.6624 4/536 [..............................] - ETA: 1:11 - loss: 357.0237 - logits_profile_predictions_loss: 88.7626 - logcount_predictions_loss: 268.2611 5/536 [..............................] - ETA: 1:11 - loss: 302.3190 - logits_profile_predictions_loss: 87.1290 - logcount_predictions_loss: 215.1901 6/536 [..............................] - ETA: 1:11 - loss: 263.5324 - logits_profile_predictions_loss: 83.8150 - logcount_predictions_loss: 179.7175 7/536 [..............................] - ETA: 1:10 - loss: 235.6129 - logits_profile_predictions_loss: 81.2633 - logcount_predictions_loss: 154.3496 8/536 [..............................] - ETA: 1:10 - loss: 215.7806 - logits_profile_predictions_loss: 80.4036 - logcount_predictions_loss: 135.3770 9/536 [..............................] - ETA: 1:10 - loss: 200.7036 - logits_profile_predictions_loss: 80.0613 - logcount_predictions_loss: 120.6423 10/536 [..............................] - ETA: 1:10 - loss: 190.0816 - logits_profile_predictions_loss: 81.1625 - logcount_predictions_loss: 108.9192 11/536 [..............................] - ETA: 1:10 - loss: 179.5305 - logits_profile_predictions_loss: 80.2872 - logcount_predictions_loss: 99.2433  12/536 [..............................] - ETA: 1:10 - loss: 170.9517 - logits_profile_predictions_loss: 79.7624 - logcount_predictions_loss: 91.1893 13/536 [..............................] - ETA: 1:10 - loss: 164.5597 - logits_profile_predictions_loss: 80.1450 - logcount_predictions_loss: 84.4148 14/536 [..............................] - ETA: 1:09 - loss: 158.5449 - logits_profile_predictions_loss: 79.9610 - logcount_predictions_loss: 78.5839 15/536 [..............................] - ETA: 1:09 - loss: 154.3436 - logits_profile_predictions_loss: 80.7764 - logcount_predictions_loss: 73.5672 16/536 [..............................] - ETA: 1:09 - loss: 149.2914 - logits_profile_predictions_loss: 80.1730 - logcount_predictions_loss: 69.1184 17/536 [..............................] - ETA: 1:09 - loss: 144.9599 - logits_profile_predictions_loss: 79.7529 - logcount_predictions_loss: 65.2070 18/536 [>.............................] - ETA: 1:09 - loss: 142.3550 - logits_profile_predictions_loss: 80.5779 - logcount_predictions_loss: 61.7772 19/536 [>.............................] - ETA: 1:09 - loss: 138.7326 - logits_profile_predictions_loss: 80.0815 - logcount_predictions_loss: 58.6511 20/536 [>.............................] - ETA: 1:09 - loss: 135.6018 - logits_profile_predictions_loss: 79.7587 - logcount_predictions_loss: 55.8431 21/536 [>.............................] - ETA: 1:09 - loss: 132.2440 - logits_profile_predictions_loss: 78.9592 - logcount_predictions_loss: 53.2849 22/536 [>.............................] - ETA: 1:08 - loss: 130.1220 - logits_profile_predictions_loss: 79.1301 - logcount_predictions_loss: 50.9920 23/536 [>.............................] - ETA: 1:08 - loss: 127.7339 - logits_profile_predictions_loss: 78.8470 - logcount_predictions_loss: 48.8869 24/536 [>.............................] - ETA: 1:08 - loss: 125.3462 - logits_profile_predictions_loss: 78.3967 - logcount_predictions_loss: 46.9495 25/536 [>.............................] - ETA: 1:08 - loss: 123.9201 - logits_profile_predictions_loss: 78.7238 - logcount_predictions_loss: 45.1963 26/536 [>.............................] - ETA: 1:08 - loss: 121.9878 - logits_profile_predictions_loss: 78.4389 - logcount_predictions_loss: 43.5489 27/536 [>.............................] - ETA: 1:08 - loss: 119.8366 - logits_profile_predictions_loss: 77.8294 - logcount_predictions_loss: 42.0072 28/536 [>.............................] - ETA: 1:08 - loss: 118.2373 - logits_profile_predictions_loss: 77.6367 - logcount_predictions_loss: 40.6006 29/536 [>.............................] - ETA: 1:07 - loss: 117.2459 - logits_profile_predictions_loss: 77.9429 - logcount_predictions_loss: 39.3029 30/536 [>.............................] - ETA: 1:07 - loss: 116.2135 - logits_profile_predictions_loss: 78.1182 - logcount_predictions_loss: 38.0953 31/536 [>.............................] - ETA: 1:07 - loss: 114.7466 - logits_profile_predictions_loss: 77.8018 - logcount_predictions_loss: 36.9448 32/536 [>.............................] - ETA: 1:07 - loss: 113.6142 - logits_profile_predictions_loss: 77.7380 - logcount_predictions_loss: 35.8761 33/536 [>.............................] - ETA: 1:07 - loss: 112.5790 - logits_profile_predictions_loss: 77.7077 - logcount_predictions_loss: 34.8713 34/536 [>.............................] - ETA: 1:07 - loss: 111.2028 - logits_profile_predictions_loss: 77.2970 - logcount_predictions_loss: 33.9058 35/536 [>.............................] - ETA: 1:07 - loss: 110.3115 - logits_profile_predictions_loss: 77.2989 - logcount_predictions_loss: 33.0126 36/536 [=>............................] - ETA: 1:07 - loss: 109.3613 - logits_profile_predictions_loss: 77.1916 - logcount_predictions_loss: 32.1697 37/536 [=>............................] - ETA: 1:06 - loss: 108.6955 - logits_profile_predictions_loss: 77.3175 - logcount_predictions_loss: 31.3780 38/536 [=>............................] - ETA: 1:06 - loss: 108.2530 - logits_profile_predictions_loss: 77.6154 - logcount_predictions_loss: 30.6376 39/536 [=>............................] - ETA: 1:06 - loss: 107.3927 - logits_profile_predictions_loss: 77.4741 - logcount_predictions_loss: 29.9186 40/536 [=>............................] - ETA: 1:06 - loss: 106.8780 - logits_profile_predictions_loss: 77.6321 - logcount_predictions_loss: 29.2459 41/536 [=>............................] - ETA: 1:06 - loss: 106.4687 - logits_profile_predictions_loss: 77.8604 - logcount_predictions_loss: 28.6083 42/536 [=>............................] - ETA: 1:06 - loss: 105.8796 - logits_profile_predictions_loss: 77.8840 - logcount_predictions_loss: 27.9957 43/536 [=>............................] - ETA: 1:06 - loss: 105.2073 - logits_profile_predictions_loss: 77.8023 - logcount_predictions_loss: 27.4051 44/536 [=>............................] - ETA: 1:05 - loss: 104.8612 - logits_profile_predictions_loss: 78.0084 - logcount_predictions_loss: 26.8528 45/536 [=>............................] - ETA: 1:05 - loss: 104.5350 - logits_profile_predictions_loss: 78.2073 - logcount_predictions_loss: 26.3277 46/536 [=>............................] - ETA: 1:05 - loss: 104.0328 - logits_profile_predictions_loss: 78.2190 - logcount_predictions_loss: 25.8138 47/536 [=>............................] - ETA: 1:05 - loss: 104.0708 - logits_profile_predictions_loss: 78.7232 - logcount_predictions_loss: 25.3476 48/536 [=>............................] - ETA: 1:05 - loss: 103.3304 - logits_profile_predictions_loss: 78.4622 - logcount_predictions_loss: 24.8682 49/536 [=>............................] - ETA: 1:05 - loss: 102.8044 - logits_profile_predictions_loss: 78.3884 - logcount_predictions_loss: 24.4160 50/536 [=>............................] - ETA: 1:05 - loss: 102.2290 - logits_profile_predictions_loss: 78.2505 - logcount_predictions_loss: 23.9784 51/536 [=>............................] - ETA: 1:05 - loss: 102.0545 - logits_profile_predictions_loss: 78.4801 - logcount_predictions_loss: 23.5744 52/536 [=>............................] - ETA: 1:04 - loss: 101.6078 - logits_profile_predictions_loss: 78.4346 - logcount_predictions_loss: 23.1732 53/536 [=>............................] - ETA: 1:04 - loss: 101.1757 - logits_profile_predictions_loss: 78.3906 - logcount_predictions_loss: 22.7851 54/536 [==>...........................] - ETA: 1:04 - loss: 100.8114 - logits_profile_predictions_loss: 78.3948 - logcount_predictions_loss: 22.4166 55/536 [==>...........................] - ETA: 1:04 - loss: 100.3120 - logits_profile_predictions_loss: 78.2601 - logcount_predictions_loss: 22.0518 56/536 [==>...........................] - ETA: 1:04 - loss: 99.9707 - logits_profile_predictions_loss: 78.2612 - logcount_predictions_loss: 21.7095  57/536 [==>...........................] - ETA: 1:04 - loss: 99.4076 - logits_profile_predictions_loss: 78.0414 - logcount_predictions_loss: 21.3661 58/536 [==>...........................] - ETA: 1:04 - loss: 98.8512 - logits_profile_predictions_loss: 77.8145 - logcount_predictions_loss: 21.0367 59/536 [==>...........................] - ETA: 1:03 - loss: 98.5368 - logits_profile_predictions_loss: 77.8062 - logcount_predictions_loss: 20.7306 60/536 [==>...........................] - ETA: 1:03 - loss: 98.0193 - logits_profile_predictions_loss: 77.5974 - logcount_predictions_loss: 20.4219 61/536 [==>...........................] - ETA: 1:03 - loss: 97.5382 - logits_profile_predictions_loss: 77.4121 - logcount_predictions_loss: 20.1261 62/536 [==>...........................] - ETA: 1:03 - loss: 97.2581 - logits_profile_predictions_loss: 77.4126 - logcount_predictions_loss: 19.8455 63/536 [==>...........................] - ETA: 1:03 - loss: 96.9037 - logits_profile_predictions_loss: 77.3311 - logcount_predictions_loss: 19.5726 64/536 [==>...........................] - ETA: 1:03 - loss: 96.6419 - logits_profile_predictions_loss: 77.3292 - logcount_predictions_loss: 19.3126 65/536 [==>...........................] - ETA: 1:03 - loss: 96.5707 - logits_profile_predictions_loss: 77.5088 - logcount_predictions_loss: 19.0618 66/536 [==>...........................] - ETA: 1:02 - loss: 96.2717 - logits_profile_predictions_loss: 77.4618 - logcount_predictions_loss: 18.8099 67/536 [==>...........................] - ETA: 1:02 - loss: 96.0014 - logits_profile_predictions_loss: 77.4339 - logcount_predictions_loss: 18.5674 68/536 [==>...........................] - ETA: 1:02 - loss: 95.8068 - logits_profile_predictions_loss: 77.4718 - logcount_predictions_loss: 18.3350 69/536 [==>...........................] - ETA: 1:02 - loss: 95.3682 - logits_profile_predictions_loss: 77.2690 - logcount_predictions_loss: 18.0992 70/536 [==>...........................] - ETA: 1:02 - loss: 95.0104 - logits_profile_predictions_loss: 77.1371 - logcount_predictions_loss: 17.8732 71/536 [==>...........................] - ETA: 1:02 - loss: 94.9758 - logits_profile_predictions_loss: 77.3089 - logcount_predictions_loss: 17.6668 72/536 [===>..........................] - ETA: 1:02 - loss: 94.7354 - logits_profile_predictions_loss: 77.2766 - logcount_predictions_loss: 17.4588 73/536 [===>..........................] - ETA: 1:02 - loss: 94.3213 - logits_profile_predictions_loss: 77.0734 - logcount_predictions_loss: 17.2479 74/536 [===>..........................] - ETA: 1:01 - loss: 94.0728 - logits_profile_predictions_loss: 77.0231 - logcount_predictions_loss: 17.0497 75/536 [===>..........................] - ETA: 1:01 - loss: 93.8675 - logits_profile_predictions_loss: 77.0062 - logcount_predictions_loss: 16.8613 76/536 [===>..........................] - ETA: 1:01 - loss: 93.5543 - logits_profile_predictions_loss: 76.8837 - logcount_predictions_loss: 16.6705 77/536 [===>..........................] - ETA: 1:01 - loss: 93.4398 - logits_profile_predictions_loss: 76.9489 - logcount_predictions_loss: 16.4909 78/536 [===>..........................] - ETA: 1:01 - loss: 93.2126 - logits_profile_predictions_loss: 76.9007 - logcount_predictions_loss: 16.3118 79/536 [===>..........................] - ETA: 1:01 - loss: 93.2496 - logits_profile_predictions_loss: 77.0997 - logcount_predictions_loss: 16.1499 80/536 [===>..........................] - ETA: 1:01 - loss: 93.3059 - logits_profile_predictions_loss: 77.3123 - logcount_predictions_loss: 15.9936 81/536 [===>..........................] - ETA: 1:00 - loss: 93.0498 - logits_profile_predictions_loss: 77.2229 - logcount_predictions_loss: 15.8269 82/536 [===>..........................] - ETA: 1:00 - loss: 92.9860 - logits_profile_predictions_loss: 77.3149 - logcount_predictions_loss: 15.6711 83/536 [===>..........................] - ETA: 1:00 - loss: 92.7241 - logits_profile_predictions_loss: 77.2144 - logcount_predictions_loss: 15.5097 84/536 [===>..........................] - ETA: 1:00 - loss: 92.5656 - logits_profile_predictions_loss: 77.2086 - logcount_predictions_loss: 15.3569 85/536 [===>..........................] - ETA: 1:00 - loss: 92.4609 - logits_profile_predictions_loss: 77.2503 - logcount_predictions_loss: 15.2105 86/536 [===>..........................] - ETA: 1:00 - loss: 92.1532 - logits_profile_predictions_loss: 77.0941 - logcount_predictions_loss: 15.0591 87/536 [===>..........................] - ETA: 1:00 - loss: 91.9369 - logits_profile_predictions_loss: 77.0226 - logcount_predictions_loss: 14.9143 88/536 [===>..........................] - ETA: 1:00 - loss: 91.8654 - logits_profile_predictions_loss: 77.0868 - logcount_predictions_loss: 14.7787 89/536 [===>..........................] - ETA: 59s - loss: 91.7123 - logits_profile_predictions_loss: 77.0689 - logcount_predictions_loss: 14.6434  90/536 [====>.........................] - ETA: 1:09 - loss: 91.6201 - logits_profile_predictions_loss: 77.0799 - logcount_predictions_loss: 14.5402 91/536 [====>.........................] - ETA: 1:09 - loss: 91.5745 - logits_profile_predictions_loss: 77.1596 - logcount_predictions_loss: 14.4149 92/536 [====>.........................] - ETA: 1:09 - loss: 91.3487 - logits_profile_predictions_loss: 77.0647 - logcount_predictions_loss: 14.2840 93/536 [====>.........................] - ETA: 1:09 - loss: 91.1688 - logits_profile_predictions_loss: 77.0111 - logcount_predictions_loss: 14.1577 94/536 [====>.........................] - ETA: 1:08 - loss: 90.9558 - logits_profile_predictions_loss: 76.9222 - logcount_predictions_loss: 14.0336 95/536 [====>.........................] - ETA: 1:08 - loss: 90.7251 - logits_profile_predictions_loss: 76.8167 - logcount_predictions_loss: 13.9084 96/536 [====>.........................] - ETA: 1:08 - loss: 90.7242 - logits_profile_predictions_loss: 76.9257 - logcount_predictions_loss: 13.7985 97/536 [====>.........................] - ETA: 1:08 - loss: 90.5010 - logits_profile_predictions_loss: 76.8202 - logcount_predictions_loss: 13.6808 98/536 [====>.........................] - ETA: 1:07 - loss: 90.3645 - 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logcount_predictions_loss: 4.1232 530/536 [============================>.] - ETA: 0s - loss: 80.6364 - logits_profile_predictions_loss: 76.5195 - logcount_predictions_loss: 4.1169 531/536 [============================>.] - ETA: 0s - loss: 80.6129 - logits_profile_predictions_loss: 76.5025 - logcount_predictions_loss: 4.1103 532/536 [============================>.] - ETA: 0s - loss: 80.5958 - logits_profile_predictions_loss: 76.4917 - logcount_predictions_loss: 4.1041 533/536 [============================>.] - ETA: 0s - loss: 80.6218 - logits_profile_predictions_loss: 76.5234 - logcount_predictions_loss: 4.0984 534/536 [============================>.] - ETA: 0s - loss: 80.6304 - logits_profile_predictions_loss: 76.5382 - logcount_predictions_loss: 4.0922 535/536 [============================>.] - ETA: 0s - loss: 80.6032 - logits_profile_predictions_loss: 76.5173 - logcount_predictions_loss: 4.0859 536/536 [==============================] - ETA: 0s - loss: 80.6115 - logits_profile_predictions_loss: 76.5316 - logcount_predictions_loss: 4.0798 Epoch 1: val_loss improved from inf to 77.84406, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.lymphocyte.NI/fold_3/models/chrombpnet.h5  536/536 [==============================] - 84s 149ms/step - loss: 80.6115 - logits_profile_predictions_loss: 76.5316 - logcount_predictions_loss: 4.0798 - val_loss: 77.8441 - val_logits_profile_predictions_loss: 76.9427 - val_logcount_predictions_loss: 0.9013 Epoch 2/50 1/536 [..............................] - ETA: 1:17 - loss: 77.6717 - logits_profile_predictions_loss: 76.8714 - logcount_predictions_loss: 0.8003 2/536 [..............................] - ETA: 1:11 - loss: 77.3082 - logits_profile_predictions_loss: 76.4553 - logcount_predictions_loss: 0.8530 3/536 [..............................] - ETA: 1:11 - loss: 78.1281 - logits_profile_predictions_loss: 77.2231 - logcount_predictions_loss: 0.9049 4/536 [..............................] - ETA: 1:11 - loss: 77.9488 - logits_profile_predictions_loss: 77.0791 - logcount_predictions_loss: 0.8697 5/536 [..............................] - ETA: 1:11 - loss: 77.7628 - logits_profile_predictions_loss: 76.8879 - logcount_predictions_loss: 0.8749 6/536 [..............................] - ETA: 1:11 - loss: 75.0084 - logits_profile_predictions_loss: 74.1492 - logcount_predictions_loss: 0.8592 7/536 [..............................] - ETA: 1:10 - loss: 75.6185 - logits_profile_predictions_loss: 74.7520 - logcount_predictions_loss: 0.8666 8/536 [..............................] - ETA: 1:10 - loss: 74.9476 - logits_profile_predictions_loss: 74.0745 - logcount_predictions_loss: 0.8731 9/536 [..............................] - ETA: 1:10 - loss: 75.2665 - logits_profile_predictions_loss: 74.3939 - logcount_predictions_loss: 0.8726 10/536 [..............................] - ETA: 1:10 - loss: 77.8365 - logits_profile_predictions_loss: 76.9097 - logcount_predictions_loss: 0.9268 11/536 [..............................] - ETA: 1:10 - loss: 77.8580 - logits_profile_predictions_loss: 76.9254 - logcount_predictions_loss: 0.9326 12/536 [..............................] - ETA: 1:10 - loss: 78.4577 - logits_profile_predictions_loss: 77.5148 - logcount_predictions_loss: 0.9429 13/536 [..............................] - ETA: 1:10 - loss: 79.4403 - logits_profile_predictions_loss: 78.4928 - logcount_predictions_loss: 0.9475 14/536 [..............................] - ETA: 1:09 - loss: 78.7219 - logits_profile_predictions_loss: 77.7823 - logcount_predictions_loss: 0.9396 15/536 [..............................] - ETA: 1:09 - loss: 78.1450 - logits_profile_predictions_loss: 77.2182 - logcount_predictions_loss: 0.9268 16/536 [..............................] - ETA: 1:09 - loss: 79.3698 - logits_profile_predictions_loss: 78.4408 - logcount_predictions_loss: 0.9290 17/536 [..............................] - ETA: 1:09 - loss: 79.1514 - 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ETA: 1:08 - loss: 77.5193 - logits_profile_predictions_loss: 76.5941 - logcount_predictions_loss: 0.9252 25/536 [>.............................] - ETA: 1:08 - loss: 77.1389 - logits_profile_predictions_loss: 76.2125 - logcount_predictions_loss: 0.9264 26/536 [>.............................] - ETA: 1:08 - loss: 77.3568 - logits_profile_predictions_loss: 76.4229 - logcount_predictions_loss: 0.9339 27/536 [>.............................] - ETA: 1:08 - loss: 77.5323 - logits_profile_predictions_loss: 76.5920 - logcount_predictions_loss: 0.9404 28/536 [>.............................] - ETA: 1:08 - loss: 77.0285 - logits_profile_predictions_loss: 76.0910 - logcount_predictions_loss: 0.9376 29/536 [>.............................] - ETA: 1:07 - loss: 76.9856 - logits_profile_predictions_loss: 76.0470 - logcount_predictions_loss: 0.9386 30/536 [>.............................] - ETA: 1:07 - loss: 76.9880 - logits_profile_predictions_loss: 76.0488 - logcount_predictions_loss: 0.9393 31/536 [>.............................] - ETA: 1:07 - loss: 76.7992 - logits_profile_predictions_loss: 75.8619 - logcount_predictions_loss: 0.9372 32/536 [>.............................] - ETA: 1:07 - loss: 76.7850 - logits_profile_predictions_loss: 75.8559 - logcount_predictions_loss: 0.9291 33/536 [>.............................] - ETA: 1:07 - loss: 76.4473 - logits_profile_predictions_loss: 75.5158 - logcount_predictions_loss: 0.9315 34/536 [>.............................] - ETA: 1:07 - loss: 76.3217 - logits_profile_predictions_loss: 75.3915 - logcount_predictions_loss: 0.9302 35/536 [>.............................] - ETA: 1:07 - loss: 76.1547 - logits_profile_predictions_loss: 75.2214 - logcount_predictions_loss: 0.9333 36/536 [=>............................] - ETA: 1:07 - loss: 75.6694 - logits_profile_predictions_loss: 74.7406 - logcount_predictions_loss: 0.9288 37/536 [=>............................] - ETA: 1:07 - loss: 75.5217 - logits_profile_predictions_loss: 74.5983 - logcount_predictions_loss: 0.9235 38/536 [=>............................] - ETA: 1:06 - loss: 75.4826 - logits_profile_predictions_loss: 74.5629 - logcount_predictions_loss: 0.9197 39/536 [=>............................] - ETA: 1:06 - loss: 75.5054 - logits_profile_predictions_loss: 74.5877 - logcount_predictions_loss: 0.9177 40/536 [=>............................] - ETA: 1:06 - loss: 75.5405 - logits_profile_predictions_loss: 74.6257 - logcount_predictions_loss: 0.9148 41/536 [=>............................] - ETA: 1:06 - loss: 75.9575 - logits_profile_predictions_loss: 75.0432 - logcount_predictions_loss: 0.9143 42/536 [=>............................] - ETA: 1:06 - loss: 76.5849 - logits_profile_predictions_loss: 75.6686 - logcount_predictions_loss: 0.9163 43/536 [=>............................] - ETA: 1:06 - loss: 76.4051 - logits_profile_predictions_loss: 75.4932 - logcount_predictions_loss: 0.9120 44/536 [=>............................] - ETA: 1:06 - loss: 76.4649 - 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ETA: 1:05 - loss: 76.8157 - logits_profile_predictions_loss: 75.9246 - logcount_predictions_loss: 0.8911 52/536 [=>............................] - ETA: 1:04 - loss: 76.6044 - logits_profile_predictions_loss: 75.7189 - logcount_predictions_loss: 0.8855 53/536 [=>............................] - ETA: 1:04 - loss: 76.4797 - logits_profile_predictions_loss: 75.6012 - logcount_predictions_loss: 0.8785 54/536 [==>...........................] - ETA: 1:04 - loss: 76.6383 - logits_profile_predictions_loss: 75.7671 - logcount_predictions_loss: 0.8712 55/536 [==>...........................] - ETA: 1:04 - loss: 76.5384 - logits_profile_predictions_loss: 75.6724 - logcount_predictions_loss: 0.8660 56/536 [==>...........................] - ETA: 1:04 - loss: 76.3902 - logits_profile_predictions_loss: 75.5279 - logcount_predictions_loss: 0.8623 57/536 [==>...........................] - ETA: 1:04 - loss: 76.2219 - logits_profile_predictions_loss: 75.3621 - logcount_predictions_loss: 0.8598 58/536 [==>...........................] - ETA: 1:04 - loss: 76.2293 - logits_profile_predictions_loss: 75.3735 - logcount_predictions_loss: 0.8558 59/536 [==>...........................] - ETA: 1:04 - loss: 76.0457 - logits_profile_predictions_loss: 75.1930 - logcount_predictions_loss: 0.8527 60/536 [==>...........................] - ETA: 1:03 - loss: 76.0683 - logits_profile_predictions_loss: 75.2206 - logcount_predictions_loss: 0.8478 61/536 [==>...........................] - ETA: 1:03 - loss: 75.9939 - logits_profile_predictions_loss: 75.1470 - logcount_predictions_loss: 0.8469 62/536 [==>...........................] - ETA: 1:03 - loss: 75.9910 - logits_profile_predictions_loss: 75.1475 - logcount_predictions_loss: 0.8435 63/536 [==>...........................] - ETA: 1:03 - loss: 76.1065 - logits_profile_predictions_loss: 75.2627 - logcount_predictions_loss: 0.8438 64/536 [==>...........................] - ETA: 1:03 - loss: 76.6600 - logits_profile_predictions_loss: 75.8103 - 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ETA: 1:01 - loss: 76.9665 - logits_profile_predictions_loss: 76.1321 - logcount_predictions_loss: 0.8343 79/536 [===>..........................] - ETA: 1:01 - loss: 77.0050 - logits_profile_predictions_loss: 76.1728 - logcount_predictions_loss: 0.8322 80/536 [===>..........................] - ETA: 1:01 - loss: 76.9441 - logits_profile_predictions_loss: 76.1138 - logcount_predictions_loss: 0.8303 81/536 [===>..........................] - ETA: 1:01 - loss: 76.8715 - logits_profile_predictions_loss: 76.0421 - logcount_predictions_loss: 0.8293 82/536 [===>..........................] - ETA: 1:00 - loss: 76.8372 - logits_profile_predictions_loss: 76.0090 - logcount_predictions_loss: 0.8282 83/536 [===>..........................] - ETA: 1:00 - loss: 76.7244 - logits_profile_predictions_loss: 75.9007 - logcount_predictions_loss: 0.8237 84/536 [===>..........................] - ETA: 1:00 - loss: 76.9686 - logits_profile_predictions_loss: 76.1457 - logcount_predictions_loss: 0.8229 85/536 [===>..........................] - ETA: 1:00 - loss: 77.0057 - logits_profile_predictions_loss: 76.1819 - logcount_predictions_loss: 0.8237 86/536 [===>..........................] - ETA: 1:00 - loss: 77.2827 - logits_profile_predictions_loss: 76.4582 - logcount_predictions_loss: 0.8245 87/536 [===>..........................] - ETA: 1:00 - loss: 77.3368 - logits_profile_predictions_loss: 76.5150 - logcount_predictions_loss: 0.8217 88/536 [===>..........................] - ETA: 1:00 - loss: 77.2618 - logits_profile_predictions_loss: 76.4402 - logcount_predictions_loss: 0.8216 89/536 [===>..........................] - ETA: 59s - loss: 77.3721 - logits_profile_predictions_loss: 76.5545 - logcount_predictions_loss: 0.8176  90/536 [====>.........................] - ETA: 59s - loss: 77.3929 - logits_profile_predictions_loss: 76.5773 - logcount_predictions_loss: 0.8156 91/536 [====>.........................] - ETA: 59s - loss: 77.2312 - logits_profile_predictions_loss: 76.4183 - logcount_predictions_loss: 0.8129 92/536 [====>.........................] - ETA: 59s - loss: 77.1290 - logits_profile_predictions_loss: 76.3187 - logcount_predictions_loss: 0.8103 93/536 [====>.........................] - ETA: 59s - loss: 77.0518 - logits_profile_predictions_loss: 76.2448 - logcount_predictions_loss: 0.8070 94/536 [====>.........................] - ETA: 59s - loss: 77.0532 - logits_profile_predictions_loss: 76.2475 - logcount_predictions_loss: 0.8058 95/536 [====>.........................] - ETA: 59s - loss: 76.9244 - logits_profile_predictions_loss: 76.1209 - logcount_predictions_loss: 0.8035 96/536 [====>.........................] - ETA: 59s - loss: 76.8680 - logits_profile_predictions_loss: 76.0655 - logcount_predictions_loss: 0.8024 97/536 [====>.........................] - ETA: 58s - loss: 76.8120 - logits_profile_predictions_loss: 76.0118 - logcount_predictions_loss: 0.8001 98/536 [====>.........................] - ETA: 58s - loss: 76.9190 - 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ETA: 57s - loss: 76.5872 - logits_profile_predictions_loss: 75.7958 - logcount_predictions_loss: 0.7914 106/536 [====>.........................] - ETA: 57s - loss: 76.8384 - logits_profile_predictions_loss: 76.0471 - logcount_predictions_loss: 0.7912 107/536 [====>.........................] - ETA: 57s - loss: 76.9166 - logits_profile_predictions_loss: 76.1267 - logcount_predictions_loss: 0.7900 108/536 [=====>........................] - ETA: 57s - loss: 76.8315 - logits_profile_predictions_loss: 76.0424 - logcount_predictions_loss: 0.7891 109/536 [=====>........................] - ETA: 57s - loss: 76.7528 - logits_profile_predictions_loss: 75.9642 - logcount_predictions_loss: 0.7886 110/536 [=====>........................] - ETA: 57s - loss: 76.7567 - logits_profile_predictions_loss: 75.9686 - logcount_predictions_loss: 0.7881 111/536 [=====>........................] - ETA: 56s - loss: 76.6108 - logits_profile_predictions_loss: 75.8241 - logcount_predictions_loss: 0.7867 112/536 [=====>........................] - ETA: 56s - loss: 76.6322 - logits_profile_predictions_loss: 75.8445 - logcount_predictions_loss: 0.7877 113/536 [=====>........................] - ETA: 56s - loss: 76.5776 - logits_profile_predictions_loss: 75.7904 - logcount_predictions_loss: 0.7872 114/536 [=====>........................] - ETA: 56s - loss: 76.4027 - logits_profile_predictions_loss: 75.6153 - logcount_predictions_loss: 0.7874 115/536 [=====>........................] - ETA: 56s - loss: 76.3541 - logits_profile_predictions_loss: 75.5655 - logcount_predictions_loss: 0.7887 116/536 [=====>........................] - ETA: 56s - loss: 76.2062 - logits_profile_predictions_loss: 75.4183 - logcount_predictions_loss: 0.7880 117/536 [=====>........................] - ETA: 56s - loss: 76.2987 - logits_profile_predictions_loss: 75.5133 - logcount_predictions_loss: 0.7854 118/536 [=====>........................] - ETA: 55s - loss: 76.2515 - logits_profile_predictions_loss: 75.4681 - logcount_predictions_loss: 0.7834 119/536 [=====>........................] - ETA: 55s - loss: 76.2570 - logits_profile_predictions_loss: 75.4736 - logcount_predictions_loss: 0.7834 120/536 [=====>........................] - ETA: 55s - loss: 76.1839 - logits_profile_predictions_loss: 75.4017 - logcount_predictions_loss: 0.7822 121/536 [=====>........................] - ETA: 55s - loss: 76.0872 - logits_profile_predictions_loss: 75.3071 - logcount_predictions_loss: 0.7801 122/536 [=====>........................] - ETA: 55s - loss: 76.1152 - logits_profile_predictions_loss: 75.3358 - logcount_predictions_loss: 0.7794 123/536 [=====>........................] - ETA: 55s - loss: 76.0684 - logits_profile_predictions_loss: 75.2897 - logcount_predictions_loss: 0.7786 124/536 [=====>........................] - ETA: 55s - loss: 76.0065 - logits_profile_predictions_loss: 75.2277 - logcount_predictions_loss: 0.7788 125/536 [=====>........................] - ETA: 55s - loss: 76.1235 - 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76.70494, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.lymphocyte.NI/fold_3/models/chrombpnet.h5  536/536 [==============================] - 77s 144ms/step - loss: 75.8276 - logits_profile_predictions_loss: 75.2266 - logcount_predictions_loss: 0.6009 - val_loss: 76.7049 - val_logits_profile_predictions_loss: 76.1996 - val_logcount_predictions_loss: 0.5053 Epoch 3/50 1/536 [..............................] - ETA: 1:17 - loss: 67.6663 - logits_profile_predictions_loss: 67.3012 - logcount_predictions_loss: 0.3650 2/536 [..............................] - ETA: 1:11 - loss: 68.4310 - logits_profile_predictions_loss: 68.0299 - logcount_predictions_loss: 0.4010 3/536 [..............................] - ETA: 1:11 - loss: 70.0544 - logits_profile_predictions_loss: 69.6474 - logcount_predictions_loss: 0.4070 4/536 [..............................] - ETA: 1:11 - loss: 69.0907 - logits_profile_predictions_loss: 68.6838 - 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/oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.lymphocyte.NI/fold_3/models/chrombpnet.h5  536/536 [==============================] - 77s 144ms/step - loss: 74.8542 - logits_profile_predictions_loss: 74.3545 - logcount_predictions_loss: 0.4997 - val_loss: 76.1327 - val_logits_profile_predictions_loss: 75.7070 - val_logcount_predictions_loss: 0.4257 Epoch 4/50 1/536 [..............................] - ETA: 1:16 - loss: 84.7208 - logits_profile_predictions_loss: 84.1599 - logcount_predictions_loss: 0.5610 2/536 [..............................] - ETA: 1:11 - loss: 73.7307 - logits_profile_predictions_loss: 73.2400 - logcount_predictions_loss: 0.4907 3/536 [..............................] - ETA: 1:11 - loss: 72.9749 - logits_profile_predictions_loss: 72.5298 - logcount_predictions_loss: 0.4451 4/536 [..............................] - ETA: 1:11 - loss: 74.0900 - logits_profile_predictions_loss: 73.6570 - logcount_predictions_loss: 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[==>...........................] - ETA: 1:03 - loss: 75.7417 - logits_profile_predictions_loss: 75.2936 - logcount_predictions_loss: 0.4481 60/536 [==>...........................] - ETA: 1:03 - loss: 75.8362 - logits_profile_predictions_loss: 75.3874 - logcount_predictions_loss: 0.4488 61/536 [==>...........................] - ETA: 1:03 - loss: 75.9020 - logits_profile_predictions_loss: 75.4537 - logcount_predictions_loss: 0.4483 62/536 [==>...........................] - ETA: 1:03 - loss: 76.0580 - logits_profile_predictions_loss: 75.6097 - logcount_predictions_loss: 0.4482 63/536 [==>...........................] - ETA: 1:03 - loss: 76.0243 - logits_profile_predictions_loss: 75.5749 - logcount_predictions_loss: 0.4495 64/536 [==>...........................] - ETA: 1:03 - loss: 76.0015 - logits_profile_predictions_loss: 75.5496 - logcount_predictions_loss: 0.4518 65/536 [==>...........................] - ETA: 1:02 - loss: 75.8710 - logits_profile_predictions_loss: 75.4201 - 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logits_profile_predictions_loss: 73.9931 - logcount_predictions_loss: 0.4630 532/536 [============================>.] - ETA: 0s - loss: 74.4488 - logits_profile_predictions_loss: 73.9859 - logcount_predictions_loss: 0.4629 533/536 [============================>.] - ETA: 0s - loss: 74.4492 - logits_profile_predictions_loss: 73.9863 - logcount_predictions_loss: 0.4629 534/536 [============================>.] - ETA: 0s - loss: 74.4632 - logits_profile_predictions_loss: 74.0004 - logcount_predictions_loss: 0.4628 535/536 [============================>.] - ETA: 0s - loss: 74.4583 - logits_profile_predictions_loss: 73.9954 - logcount_predictions_loss: 0.4628 536/536 [==============================] - ETA: 0s - loss: 74.4489 - logits_profile_predictions_loss: 73.9860 - logcount_predictions_loss: 0.4628 Epoch 4: val_loss improved from 76.13273 to 75.84305, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.lymphocyte.NI/fold_3/models/chrombpnet.h5  536/536 [==============================] - 77s 144ms/step - loss: 74.4489 - logits_profile_predictions_loss: 73.9860 - logcount_predictions_loss: 0.4628 - val_loss: 75.8430 - val_logits_profile_predictions_loss: 75.4405 - val_logcount_predictions_loss: 0.4025 Epoch 5/50 1/536 [..............................] - ETA: 1:17 - loss: 76.6569 - logits_profile_predictions_loss: 76.3047 - logcount_predictions_loss: 0.3522 2/536 [..............................] - ETA: 1:11 - loss: 71.0629 - logits_profile_predictions_loss: 70.7201 - logcount_predictions_loss: 0.3428 3/536 [..............................] - ETA: 1:11 - loss: 71.5030 - logits_profile_predictions_loss: 71.0934 - logcount_predictions_loss: 0.4095 4/536 [..............................] - ETA: 1:11 - loss: 70.7478 - logits_profile_predictions_loss: 70.3732 - logcount_predictions_loss: 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ETA: 1:08 - loss: 75.3177 - logits_profile_predictions_loss: 74.8970 - logcount_predictions_loss: 0.4206 26/536 [>.............................] - ETA: 1:08 - loss: 74.9654 - logits_profile_predictions_loss: 74.5462 - logcount_predictions_loss: 0.4192 27/536 [>.............................] - ETA: 1:08 - loss: 75.0300 - logits_profile_predictions_loss: 74.6089 - logcount_predictions_loss: 0.4211 28/536 [>.............................] - ETA: 1:08 - loss: 74.8339 - logits_profile_predictions_loss: 74.4114 - logcount_predictions_loss: 0.4225 29/536 [>.............................] - ETA: 1:07 - loss: 75.1967 - logits_profile_predictions_loss: 74.7749 - logcount_predictions_loss: 0.4219 30/536 [>.............................] - ETA: 1:07 - loss: 75.3551 - logits_profile_predictions_loss: 74.9386 - logcount_predictions_loss: 0.4165 31/536 [>.............................] - ETA: 1:07 - loss: 75.2717 - logits_profile_predictions_loss: 74.8569 - logcount_predictions_loss: 0.4147 32/536 [>.............................] - ETA: 1:07 - loss: 75.2563 - logits_profile_predictions_loss: 74.8428 - logcount_predictions_loss: 0.4135 33/536 [>.............................] - ETA: 1:07 - loss: 75.5327 - logits_profile_predictions_loss: 75.1192 - logcount_predictions_loss: 0.4134 34/536 [>.............................] - ETA: 1:07 - loss: 75.0530 - logits_profile_predictions_loss: 74.6359 - logcount_predictions_loss: 0.4171 35/536 [>.............................] - ETA: 1:07 - loss: 75.3128 - logits_profile_predictions_loss: 74.8973 - logcount_predictions_loss: 0.4155 36/536 [=>............................] - ETA: 1:06 - loss: 75.5508 - logits_profile_predictions_loss: 75.1369 - logcount_predictions_loss: 0.4140 37/536 [=>............................] - ETA: 1:06 - loss: 75.4893 - logits_profile_predictions_loss: 75.0778 - logcount_predictions_loss: 0.4115 38/536 [=>............................] - ETA: 1:06 - loss: 75.8006 - logits_profile_predictions_loss: 75.3872 - 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[==>...........................] - ETA: 1:03 - loss: 74.7108 - logits_profile_predictions_loss: 74.2812 - logcount_predictions_loss: 0.4296 60/536 [==>...........................] - ETA: 1:03 - loss: 74.8301 - logits_profile_predictions_loss: 74.3991 - logcount_predictions_loss: 0.4310 61/536 [==>...........................] - ETA: 1:03 - loss: 74.7650 - logits_profile_predictions_loss: 74.3335 - logcount_predictions_loss: 0.4315 62/536 [==>...........................] - ETA: 1:03 - loss: 74.6216 - logits_profile_predictions_loss: 74.1904 - logcount_predictions_loss: 0.4312 63/536 [==>...........................] - ETA: 1:03 - loss: 74.7032 - logits_profile_predictions_loss: 74.2689 - logcount_predictions_loss: 0.4343 64/536 [==>...........................] - ETA: 1:03 - loss: 74.9086 - logits_profile_predictions_loss: 74.4743 - logcount_predictions_loss: 0.4343 65/536 [==>...........................] - ETA: 1:03 - loss: 74.9183 - logits_profile_predictions_loss: 74.4815 - 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[===>..........................] - ETA: 1:00 - loss: 74.9732 - logits_profile_predictions_loss: 74.5363 - logcount_predictions_loss: 0.4369 87/536 [===>..........................] - ETA: 1:00 - loss: 74.8298 - logits_profile_predictions_loss: 74.3932 - logcount_predictions_loss: 0.4367 88/536 [===>..........................] - ETA: 1:00 - loss: 74.7643 - logits_profile_predictions_loss: 74.3275 - logcount_predictions_loss: 0.4368 89/536 [===>..........................] - ETA: 59s - loss: 74.8764 - logits_profile_predictions_loss: 74.4421 - logcount_predictions_loss: 0.4344  90/536 [====>.........................] - ETA: 59s - loss: 74.9035 - logits_profile_predictions_loss: 74.4688 - logcount_predictions_loss: 0.4347 91/536 [====>.........................] - ETA: 59s - loss: 74.9671 - logits_profile_predictions_loss: 74.5329 - logcount_predictions_loss: 0.4343 92/536 [====>.........................] - ETA: 59s - loss: 74.8354 - logits_profile_predictions_loss: 74.4004 - 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[=====>........................] - ETA: 56s - loss: 74.5995 - logits_profile_predictions_loss: 74.1650 - logcount_predictions_loss: 0.4345 114/536 [=====>........................] - ETA: 56s - loss: 74.7567 - logits_profile_predictions_loss: 74.3221 - logcount_predictions_loss: 0.4346 115/536 [=====>........................] - ETA: 56s - loss: 74.6335 - logits_profile_predictions_loss: 74.1989 - logcount_predictions_loss: 0.4347 116/536 [=====>........................] - ETA: 56s - loss: 74.6239 - logits_profile_predictions_loss: 74.1885 - logcount_predictions_loss: 0.4355 117/536 [=====>........................] - ETA: 56s - loss: 74.5231 - logits_profile_predictions_loss: 74.0880 - logcount_predictions_loss: 0.4351 118/536 [=====>........................] - ETA: 56s - loss: 74.5743 - logits_profile_predictions_loss: 74.1393 - logcount_predictions_loss: 0.4350 119/536 [=====>........................] - ETA: 55s - loss: 74.6658 - logits_profile_predictions_loss: 74.2316 - 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/oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.lymphocyte.NI/fold_3/models/chrombpnet.h5  536/536 [==============================] - 77s 144ms/step - loss: 73.8507 - logits_profile_predictions_loss: 73.4317 - logcount_predictions_loss: 0.4189 - val_loss: 75.8267 - val_logits_profile_predictions_loss: 75.4007 - val_logcount_predictions_loss: 0.4260 Epoch 6/50 1/536 [..............................] - ETA: 1:16 - loss: 72.0395 - logits_profile_predictions_loss: 71.6361 - logcount_predictions_loss: 0.4035 2/536 [..............................] - ETA: 1:11 - loss: 73.9617 - logits_profile_predictions_loss: 73.5056 - logcount_predictions_loss: 0.4561 3/536 [..............................] - ETA: 1:11 - loss: 72.0232 - logits_profile_predictions_loss: 71.5569 - logcount_predictions_loss: 0.4663 4/536 [..............................] - ETA: 1:11 - loss: 74.1743 - logits_profile_predictions_loss: 73.7326 - logcount_predictions_loss: 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[==========================>...] - ETA: 6s - loss: 73.4886 - logits_profile_predictions_loss: 73.0795 - logcount_predictions_loss: 0.4091 492/536 [==========================>...] - ETA: 5s - loss: 73.4883 - logits_profile_predictions_loss: 73.0789 - logcount_predictions_loss: 0.4094 493/536 [==========================>...] - ETA: 5s - loss: 73.4866 - logits_profile_predictions_loss: 73.0771 - logcount_predictions_loss: 0.4095 494/536 [==========================>...] - ETA: 5s - loss: 73.4991 - logits_profile_predictions_loss: 73.0894 - logcount_predictions_loss: 0.4097 495/536 [==========================>...] - ETA: 5s - loss: 73.4918 - logits_profile_predictions_loss: 73.0824 - logcount_predictions_loss: 0.4094 496/536 [==========================>...] - ETA: 5s - loss: 73.4819 - logits_profile_predictions_loss: 73.0725 - logcount_predictions_loss: 0.4095 497/536 [==========================>...] - ETA: 5s - loss: 73.4656 - logits_profile_predictions_loss: 73.0563 - logcount_predictions_loss: 0.4093 498/536 [==========================>...] - ETA: 5s - loss: 73.4768 - logits_profile_predictions_loss: 73.0677 - logcount_predictions_loss: 0.4091 499/536 [==========================>...] - ETA: 4s - loss: 73.4877 - logits_profile_predictions_loss: 73.0787 - logcount_predictions_loss: 0.4090 500/536 [==========================>...] - ETA: 4s - loss: 73.4968 - logits_profile_predictions_loss: 73.0879 - logcount_predictions_loss: 0.4089 501/536 [===========================>..] - ETA: 4s - loss: 73.5146 - logits_profile_predictions_loss: 73.1061 - logcount_predictions_loss: 0.4085 502/536 [===========================>..] - ETA: 4s - loss: 73.5312 - logits_profile_predictions_loss: 73.1225 - logcount_predictions_loss: 0.4087 503/536 [===========================>..] - ETA: 4s - loss: 73.5241 - logits_profile_predictions_loss: 73.1154 - logcount_predictions_loss: 0.4087 504/536 [===========================>..] - ETA: 4s - loss: 73.5358 - logits_profile_predictions_loss: 73.1272 - logcount_predictions_loss: 0.4086 505/536 [===========================>..] - ETA: 4s - loss: 73.5471 - logits_profile_predictions_loss: 73.1387 - logcount_predictions_loss: 0.4085 506/536 [===========================>..] - ETA: 4s - loss: 73.5319 - logits_profile_predictions_loss: 73.1235 - logcount_predictions_loss: 0.4085 507/536 [===========================>..] - ETA: 3s - loss: 73.5309 - logits_profile_predictions_loss: 73.1228 - logcount_predictions_loss: 0.4082 508/536 [===========================>..] - ETA: 3s - loss: 73.5153 - logits_profile_predictions_loss: 73.1072 - logcount_predictions_loss: 0.4082 509/536 [===========================>..] - ETA: 3s - loss: 73.5008 - logits_profile_predictions_loss: 73.0929 - logcount_predictions_loss: 0.4080 510/536 [===========================>..] - ETA: 3s - loss: 73.4856 - logits_profile_predictions_loss: 73.0777 - logcount_predictions_loss: 0.4079 511/536 [===========================>..] - ETA: 3s - loss: 73.4872 - logits_profile_predictions_loss: 73.0794 - logcount_predictions_loss: 0.4078 512/536 [===========================>..] - ETA: 3s - loss: 73.4976 - logits_profile_predictions_loss: 73.0899 - logcount_predictions_loss: 0.4077 513/536 [===========================>..] - ETA: 3s - loss: 73.5272 - logits_profile_predictions_loss: 73.1195 - logcount_predictions_loss: 0.4077 514/536 [===========================>..] - ETA: 2s - loss: 73.5159 - logits_profile_predictions_loss: 73.1080 - logcount_predictions_loss: 0.4079 515/536 [===========================>..] - ETA: 2s - loss: 73.5227 - logits_profile_predictions_loss: 73.1148 - logcount_predictions_loss: 0.4079 516/536 [===========================>..] - ETA: 2s - loss: 73.5151 - logits_profile_predictions_loss: 73.1074 - logcount_predictions_loss: 0.4078 517/536 [===========================>..] - ETA: 2s - loss: 73.5395 - logits_profile_predictions_loss: 73.1317 - logcount_predictions_loss: 0.4079 518/536 [===========================>..] - ETA: 2s - loss: 73.5263 - logits_profile_predictions_loss: 73.1183 - logcount_predictions_loss: 0.4081 519/536 [============================>.] - ETA: 2s - loss: 73.5021 - logits_profile_predictions_loss: 73.0941 - logcount_predictions_loss: 0.4080 520/536 [============================>.] - ETA: 2s - loss: 73.4998 - logits_profile_predictions_loss: 73.0921 - logcount_predictions_loss: 0.4078 521/536 [============================>.] - ETA: 2s - loss: 73.5178 - logits_profile_predictions_loss: 73.1102 - logcount_predictions_loss: 0.4077 522/536 [============================>.] - ETA: 1s - loss: 73.5035 - logits_profile_predictions_loss: 73.0959 - logcount_predictions_loss: 0.4077 523/536 [============================>.] - ETA: 1s - loss: 73.4944 - logits_profile_predictions_loss: 73.0868 - logcount_predictions_loss: 0.4076 524/536 [============================>.] - ETA: 1s - loss: 73.4825 - logits_profile_predictions_loss: 73.0751 - logcount_predictions_loss: 0.4074 525/536 [============================>.] - ETA: 1s - loss: 73.4769 - logits_profile_predictions_loss: 73.0697 - logcount_predictions_loss: 0.4072 526/536 [============================>.] - ETA: 1s - loss: 73.4842 - logits_profile_predictions_loss: 73.0770 - logcount_predictions_loss: 0.4072 527/536 [============================>.] - ETA: 1s - loss: 73.4696 - logits_profile_predictions_loss: 73.0623 - logcount_predictions_loss: 0.4074 528/536 [============================>.] - ETA: 1s - loss: 73.4736 - logits_profile_predictions_loss: 73.0662 - logcount_predictions_loss: 0.4074 529/536 [============================>.] - ETA: 0s - loss: 73.4829 - logits_profile_predictions_loss: 73.0755 - logcount_predictions_loss: 0.4074 530/536 [============================>.] - ETA: 0s - loss: 73.4809 - logits_profile_predictions_loss: 73.0737 - logcount_predictions_loss: 0.4073 531/536 [============================>.] - ETA: 0s - loss: 73.5165 - logits_profile_predictions_loss: 73.1093 - logcount_predictions_loss: 0.4072 532/536 [============================>.] - ETA: 0s - loss: 73.5038 - logits_profile_predictions_loss: 73.0967 - logcount_predictions_loss: 0.4071 533/536 [============================>.] - ETA: 0s - loss: 73.4922 - logits_profile_predictions_loss: 73.0853 - logcount_predictions_loss: 0.4070 534/536 [============================>.] - ETA: 0s - loss: 73.5161 - logits_profile_predictions_loss: 73.1091 - logcount_predictions_loss: 0.4071 535/536 [============================>.] - ETA: 0s - loss: 73.5298 - logits_profile_predictions_loss: 73.1225 - logcount_predictions_loss: 0.4073 536/536 [==============================] - ETA: 0s - loss: 73.5215 - logits_profile_predictions_loss: 73.1143 - logcount_predictions_loss: 0.4073 Epoch 6: val_loss did not improve from 75.82667  536/536 [==============================] - 77s 144ms/step - loss: 73.5215 - logits_profile_predictions_loss: 73.1143 - logcount_predictions_loss: 0.4073 - val_loss: 75.9111 - val_logits_profile_predictions_loss: 75.4671 - val_logcount_predictions_loss: 0.4440 Epoch 7/50 1/536 [..............................] - ETA: 1:17 - loss: 61.6693 - logits_profile_predictions_loss: 61.2062 - logcount_predictions_loss: 0.4630 2/536 [..............................] - ETA: 1:11 - loss: 64.8562 - logits_profile_predictions_loss: 64.4173 - logcount_predictions_loss: 0.4388 3/536 [..............................] - ETA: 1:11 - loss: 67.1683 - logits_profile_predictions_loss: 66.6908 - logcount_predictions_loss: 0.4775 4/536 [..............................] - ETA: 1:11 - loss: 71.5665 - logits_profile_predictions_loss: 71.1258 - logcount_predictions_loss: 0.4407 5/536 [..............................] - ETA: 1:11 - loss: 70.6638 - logits_profile_predictions_loss: 70.2118 - logcount_predictions_loss: 0.4520 6/536 [..............................] - ETA: 1:11 - loss: 71.5445 - logits_profile_predictions_loss: 71.1200 - logcount_predictions_loss: 0.4245 7/536 [..............................] - ETA: 1:10 - loss: 70.5127 - logits_profile_predictions_loss: 70.0909 - logcount_predictions_loss: 0.4218 8/536 [..............................] - ETA: 1:10 - loss: 71.9796 - logits_profile_predictions_loss: 71.5682 - logcount_predictions_loss: 0.4114 9/536 [..............................] - ETA: 1:10 - loss: 71.0844 - logits_profile_predictions_loss: 70.6870 - logcount_predictions_loss: 0.3975 10/536 [..............................] - ETA: 1:10 - loss: 70.6658 - logits_profile_predictions_loss: 70.2852 - logcount_predictions_loss: 0.3806 11/536 [..............................] - ETA: 1:10 - loss: 69.4365 - logits_profile_predictions_loss: 69.0468 - logcount_predictions_loss: 0.3897 12/536 [..............................] - ETA: 1:10 - loss: 70.7089 - logits_profile_predictions_loss: 70.3258 - logcount_predictions_loss: 0.3831 13/536 [..............................] - ETA: 1:10 - loss: 71.9202 - logits_profile_predictions_loss: 71.5393 - logcount_predictions_loss: 0.3809 14/536 [..............................] - ETA: 1:09 - loss: 71.6296 - logits_profile_predictions_loss: 71.2604 - logcount_predictions_loss: 0.3692 15/536 [..............................] - ETA: 1:09 - loss: 72.2379 - logits_profile_predictions_loss: 71.8634 - logcount_predictions_loss: 0.3745 16/536 [..............................] - ETA: 1:09 - loss: 72.5302 - logits_profile_predictions_loss: 72.1582 - logcount_predictions_loss: 0.3720 17/536 [..............................] - ETA: 1:09 - loss: 72.8567 - logits_profile_predictions_loss: 72.4841 - logcount_predictions_loss: 0.3726 18/536 [>.............................] - ETA: 1:09 - loss: 71.8954 - logits_profile_predictions_loss: 71.5277 - logcount_predictions_loss: 0.3677 19/536 [>.............................] - ETA: 1:09 - loss: 71.3908 - logits_profile_predictions_loss: 71.0202 - logcount_predictions_loss: 0.3707 20/536 [>.............................] - ETA: 1:09 - loss: 71.6320 - logits_profile_predictions_loss: 71.2565 - logcount_predictions_loss: 0.3755 21/536 [>.............................] - ETA: 1:09 - loss: 71.6893 - logits_profile_predictions_loss: 71.3080 - logcount_predictions_loss: 0.3813 22/536 [>.............................] - ETA: 1:08 - loss: 71.9289 - logits_profile_predictions_loss: 71.5473 - logcount_predictions_loss: 0.3817 23/536 [>.............................] - ETA: 1:08 - loss: 71.9625 - logits_profile_predictions_loss: 71.5813 - logcount_predictions_loss: 0.3812 24/536 [>.............................] - ETA: 1:08 - loss: 72.0028 - logits_profile_predictions_loss: 71.6213 - logcount_predictions_loss: 0.3815 25/536 [>.............................] - ETA: 1:08 - loss: 72.2214 - logits_profile_predictions_loss: 71.8436 - logcount_predictions_loss: 0.3778 26/536 [>.............................] - ETA: 1:08 - loss: 72.3031 - logits_profile_predictions_loss: 71.9235 - logcount_predictions_loss: 0.3797 27/536 [>.............................] - ETA: 1:08 - loss: 72.6222 - logits_profile_predictions_loss: 72.2438 - logcount_predictions_loss: 0.3784 28/536 [>.............................] - ETA: 1:08 - loss: 72.5862 - logits_profile_predictions_loss: 72.2055 - logcount_predictions_loss: 0.3807 29/536 [>.............................] - ETA: 1:07 - loss: 72.6152 - logits_profile_predictions_loss: 72.2319 - logcount_predictions_loss: 0.3833 30/536 [>.............................] - ETA: 1:07 - loss: 72.6346 - logits_profile_predictions_loss: 72.2505 - logcount_predictions_loss: 0.3840 31/536 [>.............................] - ETA: 1:07 - loss: 72.3850 - logits_profile_predictions_loss: 71.9962 - logcount_predictions_loss: 0.3888 32/536 [>.............................] - ETA: 1:07 - loss: 72.6939 - logits_profile_predictions_loss: 72.3063 - logcount_predictions_loss: 0.3876 33/536 [>.............................] - ETA: 1:07 - loss: 72.6635 - logits_profile_predictions_loss: 72.2790 - logcount_predictions_loss: 0.3845 34/536 [>.............................] - ETA: 1:07 - loss: 72.4952 - logits_profile_predictions_loss: 72.1086 - logcount_predictions_loss: 0.3866 35/536 [>.............................] - ETA: 1:07 - loss: 72.7854 - logits_profile_predictions_loss: 72.3978 - logcount_predictions_loss: 0.3876 36/536 [=>............................] - ETA: 1:06 - loss: 72.8933 - logits_profile_predictions_loss: 72.5037 - logcount_predictions_loss: 0.3896 37/536 [=>............................] - ETA: 1:06 - loss: 72.6980 - logits_profile_predictions_loss: 72.3069 - logcount_predictions_loss: 0.3911 38/536 [=>............................] - ETA: 1:06 - loss: 72.5311 - logits_profile_predictions_loss: 72.1427 - logcount_predictions_loss: 0.3884 39/536 [=>............................] - ETA: 1:06 - loss: 72.7032 - logits_profile_predictions_loss: 72.3139 - logcount_predictions_loss: 0.3893 40/536 [=>............................] - ETA: 1:06 - loss: 72.8210 - logits_profile_predictions_loss: 72.4331 - logcount_predictions_loss: 0.3879 41/536 [=>............................] - ETA: 1:06 - loss: 72.9503 - logits_profile_predictions_loss: 72.5621 - logcount_predictions_loss: 0.3881 42/536 [=>............................] - ETA: 1:06 - loss: 73.2084 - logits_profile_predictions_loss: 72.8220 - logcount_predictions_loss: 0.3864 43/536 [=>............................] - ETA: 1:06 - loss: 73.3841 - logits_profile_predictions_loss: 73.0005 - logcount_predictions_loss: 0.3835 44/536 [=>............................] - ETA: 1:05 - loss: 73.1981 - logits_profile_predictions_loss: 72.8164 - logcount_predictions_loss: 0.3817 45/536 [=>............................] - ETA: 1:05 - loss: 73.0331 - logits_profile_predictions_loss: 72.6537 - logcount_predictions_loss: 0.3794 46/536 [=>............................] - ETA: 1:05 - loss: 72.6280 - logits_profile_predictions_loss: 72.2422 - logcount_predictions_loss: 0.3858 47/536 [=>............................] - ETA: 1:05 - loss: 72.4939 - logits_profile_predictions_loss: 72.1094 - logcount_predictions_loss: 0.3845 48/536 [=>............................] - ETA: 1:05 - loss: 72.6876 - logits_profile_predictions_loss: 72.2998 - logcount_predictions_loss: 0.3878 49/536 [=>............................] - ETA: 1:05 - loss: 72.6128 - logits_profile_predictions_loss: 72.2257 - logcount_predictions_loss: 0.3872 50/536 [=>............................] - ETA: 1:05 - loss: 72.6830 - logits_profile_predictions_loss: 72.2984 - logcount_predictions_loss: 0.3846 51/536 [=>............................] - ETA: 1:04 - loss: 72.7931 - logits_profile_predictions_loss: 72.4095 - logcount_predictions_loss: 0.3836 52/536 [=>............................] - ETA: 1:04 - loss: 72.5550 - logits_profile_predictions_loss: 72.1721 - logcount_predictions_loss: 0.3830 53/536 [=>............................] - ETA: 1:04 - loss: 72.8997 - logits_profile_predictions_loss: 72.5183 - logcount_predictions_loss: 0.3814 54/536 [==>...........................] - ETA: 1:04 - loss: 72.7098 - logits_profile_predictions_loss: 72.3290 - logcount_predictions_loss: 0.3808 55/536 [==>...........................] - ETA: 1:04 - loss: 72.7505 - logits_profile_predictions_loss: 72.3687 - logcount_predictions_loss: 0.3818 56/536 [==>...........................] - ETA: 1:04 - loss: 72.8419 - logits_profile_predictions_loss: 72.4583 - logcount_predictions_loss: 0.3836 57/536 [==>...........................] - ETA: 1:04 - loss: 72.8538 - logits_profile_predictions_loss: 72.4699 - logcount_predictions_loss: 0.3838 58/536 [==>...........................] - ETA: 1:04 - loss: 72.8493 - logits_profile_predictions_loss: 72.4651 - logcount_predictions_loss: 0.3842 59/536 [==>...........................] - ETA: 1:03 - loss: 72.9173 - logits_profile_predictions_loss: 72.5324 - logcount_predictions_loss: 0.3849 60/536 [==>...........................] - ETA: 1:03 - loss: 72.8088 - logits_profile_predictions_loss: 72.4233 - logcount_predictions_loss: 0.3855 61/536 [==>...........................] - ETA: 1:03 - loss: 72.8219 - logits_profile_predictions_loss: 72.4384 - logcount_predictions_loss: 0.3836 62/536 [==>...........................] - ETA: 1:03 - loss: 72.7107 - logits_profile_predictions_loss: 72.3249 - logcount_predictions_loss: 0.3858 63/536 [==>...........................] - ETA: 1:03 - loss: 72.5925 - logits_profile_predictions_loss: 72.2049 - logcount_predictions_loss: 0.3876 64/536 [==>...........................] - ETA: 1:03 - loss: 72.4830 - logits_profile_predictions_loss: 72.0952 - logcount_predictions_loss: 0.3878 65/536 [==>...........................] - ETA: 1:03 - loss: 72.4658 - logits_profile_predictions_loss: 72.0803 - logcount_predictions_loss: 0.3855 66/536 [==>...........................] - ETA: 1:02 - loss: 72.4423 - logits_profile_predictions_loss: 72.0585 - logcount_predictions_loss: 0.3838 67/536 [==>...........................] - ETA: 1:02 - loss: 72.3151 - logits_profile_predictions_loss: 71.9274 - logcount_predictions_loss: 0.3877 68/536 [==>...........................] - ETA: 1:02 - loss: 72.3476 - logits_profile_predictions_loss: 71.9587 - logcount_predictions_loss: 0.3889 69/536 [==>...........................] - ETA: 1:02 - loss: 72.3526 - logits_profile_predictions_loss: 71.9627 - logcount_predictions_loss: 0.3899 70/536 [==>...........................] - ETA: 1:02 - loss: 72.2810 - logits_profile_predictions_loss: 71.8924 - logcount_predictions_loss: 0.3886 71/536 [==>...........................] - ETA: 1:02 - loss: 72.0799 - logits_profile_predictions_loss: 71.6926 - logcount_predictions_loss: 0.3873 72/536 [===>..........................] - ETA: 1:02 - loss: 71.9551 - logits_profile_predictions_loss: 71.5659 - logcount_predictions_loss: 0.3892 73/536 [===>..........................] - ETA: 1:02 - loss: 72.1991 - logits_profile_predictions_loss: 71.8084 - logcount_predictions_loss: 0.3907 74/536 [===>..........................] - ETA: 1:01 - loss: 72.1946 - logits_profile_predictions_loss: 71.8044 - logcount_predictions_loss: 0.3902 75/536 [===>..........................] - ETA: 1:01 - loss: 72.0638 - logits_profile_predictions_loss: 71.6728 - logcount_predictions_loss: 0.3910 76/536 [===>..........................] - ETA: 1:01 - loss: 72.0966 - logits_profile_predictions_loss: 71.7069 - logcount_predictions_loss: 0.3896 77/536 [===>..........................] - ETA: 1:01 - loss: 72.0854 - logits_profile_predictions_loss: 71.6943 - logcount_predictions_loss: 0.3911 78/536 [===>..........................] - ETA: 1:01 - loss: 72.1782 - logits_profile_predictions_loss: 71.7875 - logcount_predictions_loss: 0.3906 79/536 [===>..........................] - ETA: 1:01 - loss: 72.1241 - logits_profile_predictions_loss: 71.7320 - logcount_predictions_loss: 0.3921 80/536 [===>..........................] - ETA: 1:01 - loss: 72.0755 - logits_profile_predictions_loss: 71.6846 - logcount_predictions_loss: 0.3909 81/536 [===>..........................] - ETA: 1:00 - loss: 72.1037 - logits_profile_predictions_loss: 71.7138 - logcount_predictions_loss: 0.3898 82/536 [===>..........................] - ETA: 1:00 - loss: 71.9601 - logits_profile_predictions_loss: 71.5708 - logcount_predictions_loss: 0.3893 83/536 [===>..........................] - ETA: 1:00 - loss: 71.9376 - logits_profile_predictions_loss: 71.5466 - logcount_predictions_loss: 0.3910 84/536 [===>..........................] - ETA: 1:00 - loss: 72.0050 - logits_profile_predictions_loss: 71.6153 - logcount_predictions_loss: 0.3896 85/536 [===>..........................] - ETA: 1:00 - loss: 72.0371 - logits_profile_predictions_loss: 71.6476 - logcount_predictions_loss: 0.3895 86/536 [===>..........................] - ETA: 1:00 - loss: 71.8835 - logits_profile_predictions_loss: 71.4937 - logcount_predictions_loss: 0.3898 87/536 [===>..........................] - ETA: 1:00 - loss: 71.6767 - logits_profile_predictions_loss: 71.2862 - 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0s - loss: 73.0423 - logits_profile_predictions_loss: 72.6551 - logcount_predictions_loss: 0.3873 534/536 [============================>.] - ETA: 0s - loss: 73.0396 - logits_profile_predictions_loss: 72.6522 - logcount_predictions_loss: 0.3874 535/536 [============================>.] - ETA: 0s - loss: 73.0520 - logits_profile_predictions_loss: 72.6647 - logcount_predictions_loss: 0.3874 536/536 [==============================] - ETA: 0s - loss: 73.0284 - logits_profile_predictions_loss: 72.6408 - logcount_predictions_loss: 0.3876 Epoch 7: val_loss did not improve from 75.82667  536/536 [==============================] - 77s 144ms/step - loss: 73.0284 - logits_profile_predictions_loss: 72.6408 - logcount_predictions_loss: 0.3876 - val_loss: 76.0044 - val_logits_profile_predictions_loss: 75.6318 - val_logcount_predictions_loss: 0.3726 Epoch 8/50 1/536 [..............................] - ETA: 1:16 - loss: 75.6590 - logits_profile_predictions_loss: 75.1892 - logcount_predictions_loss: 0.4697 2/536 [..............................] - ETA: 1:11 - loss: 73.1847 - logits_profile_predictions_loss: 72.7761 - logcount_predictions_loss: 0.4086 3/536 [..............................] - ETA: 1:11 - loss: 70.2267 - logits_profile_predictions_loss: 69.8593 - logcount_predictions_loss: 0.3675 4/536 [..............................] - ETA: 1:11 - loss: 66.9335 - logits_profile_predictions_loss: 66.5774 - logcount_predictions_loss: 0.3562 5/536 [..............................] - ETA: 1:11 - loss: 67.9141 - logits_profile_predictions_loss: 67.5592 - logcount_predictions_loss: 0.3549 6/536 [..............................] - ETA: 1:11 - loss: 66.5282 - logits_profile_predictions_loss: 66.1670 - logcount_predictions_loss: 0.3612 7/536 [..............................] - ETA: 1:10 - loss: 67.1364 - logits_profile_predictions_loss: 66.7709 - logcount_predictions_loss: 0.3655 8/536 [..............................] - ETA: 1:10 - loss: 68.8887 - logits_profile_predictions_loss: 68.5317 - logcount_predictions_loss: 0.3571 9/536 [..............................] - ETA: 1:10 - loss: 68.7767 - logits_profile_predictions_loss: 68.4258 - logcount_predictions_loss: 0.3509 10/536 [..............................] - ETA: 1:10 - loss: 68.8104 - logits_profile_predictions_loss: 68.4667 - logcount_predictions_loss: 0.3437 11/536 [..............................] - ETA: 1:10 - loss: 69.7998 - logits_profile_predictions_loss: 69.4557 - logcount_predictions_loss: 0.3441 12/536 [..............................] - ETA: 1:10 - loss: 69.7363 - logits_profile_predictions_loss: 69.3910 - logcount_predictions_loss: 0.3453 13/536 [..............................] - ETA: 1:10 - loss: 70.3827 - logits_profile_predictions_loss: 70.0410 - logcount_predictions_loss: 0.3417 14/536 [..............................] - ETA: 1:09 - loss: 70.5519 - logits_profile_predictions_loss: 70.2018 - logcount_predictions_loss: 0.3501 15/536 [..............................] - ETA: 1:09 - loss: 70.6781 - logits_profile_predictions_loss: 70.3182 - logcount_predictions_loss: 0.3600 16/536 [..............................] - ETA: 1:09 - loss: 70.8555 - logits_profile_predictions_loss: 70.4885 - logcount_predictions_loss: 0.3670 17/536 [..............................] - ETA: 1:09 - loss: 70.6077 - logits_profile_predictions_loss: 70.2376 - logcount_predictions_loss: 0.3701 18/536 [>.............................] - ETA: 1:09 - loss: 71.3493 - logits_profile_predictions_loss: 70.9662 - logcount_predictions_loss: 0.3831 19/536 [>.............................] - ETA: 1:09 - loss: 71.8448 - logits_profile_predictions_loss: 71.4618 - logcount_predictions_loss: 0.3830 20/536 [>.............................] - ETA: 1:09 - loss: 71.5548 - logits_profile_predictions_loss: 71.1742 - logcount_predictions_loss: 0.3806 21/536 [>.............................] - ETA: 1:09 - loss: 71.5850 - logits_profile_predictions_loss: 71.2112 - logcount_predictions_loss: 0.3739 22/536 [>.............................] - ETA: 1:08 - loss: 71.6252 - logits_profile_predictions_loss: 71.2555 - logcount_predictions_loss: 0.3697 23/536 [>.............................] - ETA: 1:08 - loss: 71.7686 - logits_profile_predictions_loss: 71.3956 - logcount_predictions_loss: 0.3730 24/536 [>.............................] - ETA: 1:08 - loss: 72.4312 - logits_profile_predictions_loss: 72.0510 - logcount_predictions_loss: 0.3802 25/536 [>.............................] - ETA: 1:08 - loss: 72.5019 - logits_profile_predictions_loss: 72.1197 - logcount_predictions_loss: 0.3822 26/536 [>.............................] - ETA: 1:08 - loss: 72.8365 - logits_profile_predictions_loss: 72.4493 - logcount_predictions_loss: 0.3872 27/536 [>.............................] - ETA: 1:08 - loss: 72.7175 - logits_profile_predictions_loss: 72.3314 - logcount_predictions_loss: 0.3861 28/536 [>.............................] - ETA: 1:08 - loss: 73.4180 - logits_profile_predictions_loss: 73.0364 - logcount_predictions_loss: 0.3815 29/536 [>.............................] - ETA: 1:07 - loss: 73.8611 - logits_profile_predictions_loss: 73.4765 - logcount_predictions_loss: 0.3845 30/536 [>.............................] - ETA: 1:07 - loss: 74.1366 - logits_profile_predictions_loss: 73.7514 - logcount_predictions_loss: 0.3852 31/536 [>.............................] - ETA: 1:07 - loss: 74.2609 - logits_profile_predictions_loss: 73.8788 - logcount_predictions_loss: 0.3821 32/536 [>.............................] - ETA: 1:07 - loss: 74.3627 - logits_profile_predictions_loss: 73.9754 - logcount_predictions_loss: 0.3873 33/536 [>.............................] - ETA: 1:07 - loss: 74.5866 - logits_profile_predictions_loss: 74.1979 - logcount_predictions_loss: 0.3887 34/536 [>.............................] - ETA: 1:07 - loss: 74.4872 - logits_profile_predictions_loss: 74.0978 - logcount_predictions_loss: 0.3895 35/536 [>.............................] - ETA: 1:07 - loss: 74.3679 - logits_profile_predictions_loss: 73.9794 - logcount_predictions_loss: 0.3884 36/536 [=>............................] - ETA: 1:07 - loss: 74.1018 - logits_profile_predictions_loss: 73.7119 - logcount_predictions_loss: 0.3899 37/536 [=>............................] - ETA: 1:06 - loss: 73.6299 - logits_profile_predictions_loss: 73.2433 - logcount_predictions_loss: 0.3866 38/536 [=>............................] - ETA: 1:06 - loss: 73.8734 - logits_profile_predictions_loss: 73.4871 - logcount_predictions_loss: 0.3863 39/536 [=>............................] - ETA: 1:06 - loss: 73.9750 - logits_profile_predictions_loss: 73.5910 - logcount_predictions_loss: 0.3841 40/536 [=>............................] - ETA: 1:06 - loss: 73.8466 - logits_profile_predictions_loss: 73.4648 - logcount_predictions_loss: 0.3819 41/536 [=>............................] - ETA: 1:06 - loss: 73.8507 - logits_profile_predictions_loss: 73.4682 - logcount_predictions_loss: 0.3825 42/536 [=>............................] - ETA: 1:06 - loss: 73.9527 - logits_profile_predictions_loss: 73.5726 - logcount_predictions_loss: 0.3801 43/536 [=>............................] - ETA: 1:06 - loss: 73.7569 - logits_profile_predictions_loss: 73.3740 - logcount_predictions_loss: 0.3829 44/536 [=>............................] - ETA: 1:05 - loss: 73.8839 - logits_profile_predictions_loss: 73.5004 - logcount_predictions_loss: 0.3835 45/536 [=>............................] - ETA: 1:05 - loss: 73.7040 - logits_profile_predictions_loss: 73.3184 - logcount_predictions_loss: 0.3856 46/536 [=>............................] - ETA: 1:05 - loss: 73.5608 - logits_profile_predictions_loss: 73.1782 - logcount_predictions_loss: 0.3826 47/536 [=>............................] - ETA: 1:05 - loss: 73.2934 - logits_profile_predictions_loss: 72.9107 - logcount_predictions_loss: 0.3827 48/536 [=>............................] - ETA: 1:05 - loss: 73.1969 - logits_profile_predictions_loss: 72.8124 - logcount_predictions_loss: 0.3845 49/536 [=>............................] - ETA: 1:05 - loss: 73.2519 - logits_profile_predictions_loss: 72.8691 - logcount_predictions_loss: 0.3828 50/536 [=>............................] - ETA: 1:05 - loss: 73.1749 - logits_profile_predictions_loss: 72.7907 - logcount_predictions_loss: 0.3842 51/536 [=>............................] - ETA: 1:04 - loss: 73.2302 - logits_profile_predictions_loss: 72.8434 - logcount_predictions_loss: 0.3868 52/536 [=>............................] - ETA: 1:04 - loss: 73.0897 - logits_profile_predictions_loss: 72.7021 - logcount_predictions_loss: 0.3876 53/536 [=>............................] - ETA: 1:04 - loss: 72.9668 - logits_profile_predictions_loss: 72.5788 - logcount_predictions_loss: 0.3880 54/536 [==>...........................] - ETA: 1:04 - loss: 73.1151 - logits_profile_predictions_loss: 72.7268 - logcount_predictions_loss: 0.3883 55/536 [==>...........................] - ETA: 1:04 - loss: 73.1336 - logits_profile_predictions_loss: 72.7443 - logcount_predictions_loss: 0.3894 56/536 [==>...........................] - ETA: 1:04 - loss: 73.1479 - logits_profile_predictions_loss: 72.7589 - logcount_predictions_loss: 0.3890 57/536 [==>...........................] - ETA: 1:04 - loss: 73.0593 - logits_profile_predictions_loss: 72.6691 - logcount_predictions_loss: 0.3902 58/536 [==>...........................] - ETA: 1:04 - loss: 73.1204 - logits_profile_predictions_loss: 72.7306 - logcount_predictions_loss: 0.3898 59/536 [==>...........................] - ETA: 1:03 - loss: 73.0212 - logits_profile_predictions_loss: 72.6321 - logcount_predictions_loss: 0.3891 60/536 [==>...........................] - ETA: 1:03 - loss: 73.1622 - logits_profile_predictions_loss: 72.7761 - logcount_predictions_loss: 0.3861 61/536 [==>...........................] - ETA: 1:03 - loss: 73.1408 - logits_profile_predictions_loss: 72.7557 - logcount_predictions_loss: 0.3851 62/536 [==>...........................] - ETA: 1:03 - loss: 73.2399 - logits_profile_predictions_loss: 72.8538 - logcount_predictions_loss: 0.3861 63/536 [==>...........................] - ETA: 1:03 - loss: 73.0720 - logits_profile_predictions_loss: 72.6834 - logcount_predictions_loss: 0.3886 64/536 [==>...........................] - ETA: 1:03 - loss: 72.7560 - logits_profile_predictions_loss: 72.3675 - logcount_predictions_loss: 0.3885 65/536 [==>...........................] - ETA: 1:03 - loss: 72.6817 - logits_profile_predictions_loss: 72.2955 - logcount_predictions_loss: 0.3862 66/536 [==>...........................] - ETA: 1:02 - loss: 72.6097 - logits_profile_predictions_loss: 72.2223 - logcount_predictions_loss: 0.3874 67/536 [==>...........................] - ETA: 1:02 - loss: 72.5363 - logits_profile_predictions_loss: 72.1475 - logcount_predictions_loss: 0.3887 68/536 [==>...........................] - ETA: 1:02 - loss: 72.5642 - logits_profile_predictions_loss: 72.1760 - logcount_predictions_loss: 0.3881 69/536 [==>...........................] - ETA: 1:02 - loss: 72.6287 - logits_profile_predictions_loss: 72.2429 - logcount_predictions_loss: 0.3858 70/536 [==>...........................] - ETA: 1:02 - loss: 72.7051 - logits_profile_predictions_loss: 72.3202 - logcount_predictions_loss: 0.3849 71/536 [==>...........................] - ETA: 1:02 - loss: 72.7958 - logits_profile_predictions_loss: 72.4104 - logcount_predictions_loss: 0.3853 72/536 [===>..........................] - ETA: 1:02 - loss: 72.8172 - logits_profile_predictions_loss: 72.4333 - logcount_predictions_loss: 0.3838 73/536 [===>..........................] - ETA: 1:02 - loss: 72.5831 - logits_profile_predictions_loss: 72.1996 - logcount_predictions_loss: 0.3835 74/536 [===>..........................] - ETA: 1:01 - loss: 72.5943 - logits_profile_predictions_loss: 72.2110 - logcount_predictions_loss: 0.3833 75/536 [===>..........................] - ETA: 1:01 - loss: 72.5524 - logits_profile_predictions_loss: 72.1689 - logcount_predictions_loss: 0.3835 76/536 [===>..........................] - ETA: 1:01 - loss: 72.4521 - logits_profile_predictions_loss: 72.0691 - logcount_predictions_loss: 0.3830 77/536 [===>..........................] - ETA: 1:01 - loss: 72.3182 - logits_profile_predictions_loss: 71.9354 - logcount_predictions_loss: 0.3827 78/536 [===>..........................] - ETA: 1:01 - loss: 72.5046 - logits_profile_predictions_loss: 72.1215 - logcount_predictions_loss: 0.3831 79/536 [===>..........................] - ETA: 1:01 - loss: 72.3973 - logits_profile_predictions_loss: 72.0150 - logcount_predictions_loss: 0.3823 80/536 [===>..........................] - ETA: 1:01 - loss: 72.4486 - logits_profile_predictions_loss: 72.0671 - logcount_predictions_loss: 0.3815 81/536 [===>..........................] - ETA: 1:00 - loss: 72.5706 - logits_profile_predictions_loss: 72.1891 - logcount_predictions_loss: 0.3815 82/536 [===>..........................] - ETA: 1:00 - loss: 72.6902 - logits_profile_predictions_loss: 72.3105 - logcount_predictions_loss: 0.3797 83/536 [===>..........................] - ETA: 1:00 - loss: 72.6807 - logits_profile_predictions_loss: 72.3008 - logcount_predictions_loss: 0.3799 84/536 [===>..........................] - ETA: 1:00 - loss: 72.6265 - logits_profile_predictions_loss: 72.2464 - logcount_predictions_loss: 0.3801 85/536 [===>..........................] - ETA: 1:00 - loss: 72.6727 - logits_profile_predictions_loss: 72.2911 - logcount_predictions_loss: 0.3816 86/536 [===>..........................] - ETA: 1:00 - loss: 72.8410 - logits_profile_predictions_loss: 72.4569 - logcount_predictions_loss: 0.3840 87/536 [===>..........................] - ETA: 1:00 - loss: 72.8037 - logits_profile_predictions_loss: 72.4188 - logcount_predictions_loss: 0.3849 88/536 [===>..........................] - ETA: 1:00 - loss: 72.8516 - logits_profile_predictions_loss: 72.4663 - logcount_predictions_loss: 0.3853 89/536 [===>..........................] - ETA: 59s - loss: 72.9041 - logits_profile_predictions_loss: 72.5183 - logcount_predictions_loss: 0.3857  90/536 [====>.........................] - ETA: 59s - loss: 72.8641 - logits_profile_predictions_loss: 72.4790 - logcount_predictions_loss: 0.3851 91/536 [====>.........................] - ETA: 59s - loss: 72.9131 - logits_profile_predictions_loss: 72.5264 - logcount_predictions_loss: 0.3867 92/536 [====>.........................] - ETA: 59s - loss: 72.8682 - logits_profile_predictions_loss: 72.4816 - logcount_predictions_loss: 0.3866 93/536 [====>.........................] - ETA: 59s - loss: 72.7605 - logits_profile_predictions_loss: 72.3734 - logcount_predictions_loss: 0.3871 94/536 [====>.........................] - ETA: 59s - loss: 72.7729 - logits_profile_predictions_loss: 72.3863 - logcount_predictions_loss: 0.3866 95/536 [====>.........................] - ETA: 59s - loss: 72.7806 - logits_profile_predictions_loss: 72.3935 - logcount_predictions_loss: 0.3871 96/536 [====>.........................] - ETA: 58s - loss: 72.7995 - logits_profile_predictions_loss: 72.4121 - logcount_predictions_loss: 0.3874 97/536 [====>.........................] - ETA: 58s - loss: 72.6567 - logits_profile_predictions_loss: 72.2691 - logcount_predictions_loss: 0.3876 98/536 [====>.........................] - ETA: 58s - loss: 72.7077 - logits_profile_predictions_loss: 72.3202 - logcount_predictions_loss: 0.3874 99/536 [====>.........................] - ETA: 58s - loss: 72.6693 - logits_profile_predictions_loss: 72.2811 - logcount_predictions_loss: 0.3882 100/536 [====>.........................] - ETA: 58s - loss: 72.6899 - logits_profile_predictions_loss: 72.3016 - logcount_predictions_loss: 0.3883 101/536 [====>.........................] - ETA: 58s - loss: 72.6120 - logits_profile_predictions_loss: 72.2222 - logcount_predictions_loss: 0.3897 102/536 [====>.........................] - ETA: 58s - loss: 72.6935 - logits_profile_predictions_loss: 72.3029 - logcount_predictions_loss: 0.3906 103/536 [====>.........................] - ETA: 58s - loss: 72.6202 - logits_profile_predictions_loss: 72.2306 - logcount_predictions_loss: 0.3896 104/536 [====>.........................] - ETA: 57s - loss: 72.5913 - logits_profile_predictions_loss: 72.2030 - logcount_predictions_loss: 0.3883 105/536 [====>.........................] - ETA: 57s - loss: 72.4774 - logits_profile_predictions_loss: 72.0877 - logcount_predictions_loss: 0.3897 106/536 [====>.........................] - ETA: 57s - loss: 72.4933 - logits_profile_predictions_loss: 72.1049 - logcount_predictions_loss: 0.3883 107/536 [====>.........................] - ETA: 57s - loss: 72.4928 - logits_profile_predictions_loss: 72.1056 - logcount_predictions_loss: 0.3873 108/536 [=====>........................] - ETA: 57s - loss: 72.4977 - logits_profile_predictions_loss: 72.1109 - logcount_predictions_loss: 0.3868 109/536 [=====>........................] - ETA: 57s - loss: 72.5186 - logits_profile_predictions_loss: 72.1317 - logcount_predictions_loss: 0.3869 110/536 [=====>........................] - ETA: 57s - loss: 72.4440 - logits_profile_predictions_loss: 72.0573 - logcount_predictions_loss: 0.3867 111/536 [=====>........................] - ETA: 56s - loss: 72.6139 - logits_profile_predictions_loss: 72.2283 - logcount_predictions_loss: 0.3856 112/536 [=====>........................] - ETA: 56s - loss: 72.6684 - logits_profile_predictions_loss: 72.2827 - logcount_predictions_loss: 0.3857 113/536 [=====>........................] - ETA: 56s - loss: 72.7576 - logits_profile_predictions_loss: 72.3726 - logcount_predictions_loss: 0.3849 114/536 [=====>........................] - ETA: 56s - loss: 72.6283 - logits_profile_predictions_loss: 72.2434 - logcount_predictions_loss: 0.3849 115/536 [=====>........................] - ETA: 56s - loss: 72.5702 - logits_profile_predictions_loss: 72.1853 - logcount_predictions_loss: 0.3849 116/536 [=====>........................] - ETA: 56s - loss: 72.4641 - logits_profile_predictions_loss: 72.0799 - logcount_predictions_loss: 0.3842 117/536 [=====>........................] - ETA: 56s - loss: 72.5228 - logits_profile_predictions_loss: 72.1384 - logcount_predictions_loss: 0.3844 118/536 [=====>........................] - ETA: 56s - loss: 72.5931 - logits_profile_predictions_loss: 72.2085 - logcount_predictions_loss: 0.3846 119/536 [=====>........................] - ETA: 55s - loss: 72.7387 - logits_profile_predictions_loss: 72.3538 - logcount_predictions_loss: 0.3848 120/536 [=====>........................] - ETA: 55s - loss: 72.9037 - logits_profile_predictions_loss: 72.5194 - logcount_predictions_loss: 0.3843 121/536 [=====>........................] - ETA: 55s - loss: 73.0040 - logits_profile_predictions_loss: 72.6200 - logcount_predictions_loss: 0.3840 122/536 [=====>........................] - ETA: 55s - loss: 73.0161 - logits_profile_predictions_loss: 72.6327 - logcount_predictions_loss: 0.3835 123/536 [=====>........................] - ETA: 55s - loss: 73.0494 - logits_profile_predictions_loss: 72.6662 - logcount_predictions_loss: 0.3833 124/536 [=====>........................] - ETA: 55s - loss: 73.1084 - logits_profile_predictions_loss: 72.7242 - logcount_predictions_loss: 0.3843 125/536 [=====>........................] - ETA: 55s - loss: 73.1618 - logits_profile_predictions_loss: 72.7773 - logcount_predictions_loss: 0.3845 126/536 [======>.......................] - ETA: 54s - loss: 72.9220 - logits_profile_predictions_loss: 72.5372 - logcount_predictions_loss: 0.3848 127/536 [======>.......................] - ETA: 54s - loss: 72.9039 - logits_profile_predictions_loss: 72.5195 - logcount_predictions_loss: 0.3845 128/536 [======>.......................] - ETA: 54s - loss: 72.9008 - logits_profile_predictions_loss: 72.5155 - logcount_predictions_loss: 0.3852 129/536 [======>.......................] - ETA: 54s - loss: 72.8875 - logits_profile_predictions_loss: 72.5023 - logcount_predictions_loss: 0.3852 130/536 [======>.......................] - ETA: 54s - loss: 72.8849 - logits_profile_predictions_loss: 72.5005 - logcount_predictions_loss: 0.3844 131/536 [======>.......................] - ETA: 54s - loss: 72.9610 - logits_profile_predictions_loss: 72.5766 - logcount_predictions_loss: 0.3843 132/536 [======>.......................] - ETA: 54s - loss: 72.8904 - logits_profile_predictions_loss: 72.5074 - logcount_predictions_loss: 0.3830 133/536 [======>.......................] - ETA: 53s - loss: 72.8697 - logits_profile_predictions_loss: 72.4870 - logcount_predictions_loss: 0.3827 134/536 [======>.......................] - ETA: 53s - loss: 72.9303 - logits_profile_predictions_loss: 72.5459 - logcount_predictions_loss: 0.3844 135/536 [======>.......................] - ETA: 53s - loss: 72.9271 - logits_profile_predictions_loss: 72.5431 - logcount_predictions_loss: 0.3840 136/536 [======>.......................] - ETA: 53s - loss: 72.9247 - logits_profile_predictions_loss: 72.5412 - logcount_predictions_loss: 0.3835 137/536 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[========================>.....] - ETA: 10s - loss: 72.5001 - logits_profile_predictions_loss: 72.1236 - logcount_predictions_loss: 0.3765 462/536 [========================>.....] - ETA: 9s - loss: 72.4984 - logits_profile_predictions_loss: 72.1219 - logcount_predictions_loss: 0.3765  463/536 [========================>.....] - ETA: 9s - loss: 72.4762 - logits_profile_predictions_loss: 72.0996 - logcount_predictions_loss: 0.3766 464/536 [========================>.....] - ETA: 9s - loss: 72.4790 - logits_profile_predictions_loss: 72.1026 - logcount_predictions_loss: 0.3764 465/536 [=========================>....] - ETA: 9s - loss: 72.4810 - logits_profile_predictions_loss: 72.1047 - logcount_predictions_loss: 0.3763 466/536 [=========================>....] - ETA: 9s - loss: 72.4682 - logits_profile_predictions_loss: 72.0922 - logcount_predictions_loss: 0.3761 467/536 [=========================>....] - ETA: 9s - loss: 72.4784 - logits_profile_predictions_loss: 72.1026 - 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[==========================>...] - ETA: 6s - loss: 72.4319 - logits_profile_predictions_loss: 72.0549 - logcount_predictions_loss: 0.3770 489/536 [==========================>...] - ETA: 6s - loss: 72.4589 - logits_profile_predictions_loss: 72.0818 - logcount_predictions_loss: 0.3771 490/536 [==========================>...] - ETA: 6s - loss: 72.4455 - logits_profile_predictions_loss: 72.0684 - logcount_predictions_loss: 0.3772 491/536 [==========================>...] - ETA: 6s - loss: 72.4457 - logits_profile_predictions_loss: 72.0684 - logcount_predictions_loss: 0.3773 492/536 [==========================>...] - ETA: 5s - loss: 72.4874 - logits_profile_predictions_loss: 72.1100 - logcount_predictions_loss: 0.3774 493/536 [==========================>...] - ETA: 5s - loss: 72.4702 - logits_profile_predictions_loss: 72.0929 - logcount_predictions_loss: 0.3772 494/536 [==========================>...] - ETA: 5s - loss: 72.4474 - logits_profile_predictions_loss: 72.0703 - 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[===========================>..] - ETA: 2s - loss: 72.4810 - logits_profile_predictions_loss: 72.1039 - logcount_predictions_loss: 0.3772 516/536 [===========================>..] - ETA: 2s - loss: 72.4960 - logits_profile_predictions_loss: 72.1187 - logcount_predictions_loss: 0.3772 517/536 [===========================>..] - ETA: 2s - loss: 72.4796 - logits_profile_predictions_loss: 72.1026 - logcount_predictions_loss: 0.3770 518/536 [===========================>..] - ETA: 2s - loss: 72.4999 - logits_profile_predictions_loss: 72.1228 - logcount_predictions_loss: 0.3771 519/536 [============================>.] - ETA: 2s - loss: 72.5004 - logits_profile_predictions_loss: 72.1236 - logcount_predictions_loss: 0.3769 520/536 [============================>.] - ETA: 2s - loss: 72.4955 - logits_profile_predictions_loss: 72.1184 - logcount_predictions_loss: 0.3771 521/536 [============================>.] - ETA: 2s - loss: 72.5054 - logits_profile_predictions_loss: 72.1283 - logcount_predictions_loss: 0.3772 522/536 [============================>.] - ETA: 1s - loss: 72.5230 - logits_profile_predictions_loss: 72.1458 - logcount_predictions_loss: 0.3772 523/536 [============================>.] - ETA: 1s - loss: 72.5401 - logits_profile_predictions_loss: 72.1626 - logcount_predictions_loss: 0.3774 524/536 [============================>.] - ETA: 1s - loss: 72.5436 - logits_profile_predictions_loss: 72.1659 - logcount_predictions_loss: 0.3777 525/536 [============================>.] - ETA: 1s - loss: 72.5385 - logits_profile_predictions_loss: 72.1606 - logcount_predictions_loss: 0.3778 526/536 [============================>.] - ETA: 1s - loss: 72.5426 - logits_profile_predictions_loss: 72.1650 - logcount_predictions_loss: 0.3777 527/536 [============================>.] - ETA: 1s - loss: 72.5638 - logits_profile_predictions_loss: 72.1862 - logcount_predictions_loss: 0.3776 528/536 [============================>.] - ETA: 1s - loss: 72.5420 - logits_profile_predictions_loss: 72.1644 - logcount_predictions_loss: 0.3776 529/536 [============================>.] - ETA: 0s - loss: 72.5412 - logits_profile_predictions_loss: 72.1635 - logcount_predictions_loss: 0.3777 530/536 [============================>.] - ETA: 0s - loss: 72.5332 - logits_profile_predictions_loss: 72.1557 - logcount_predictions_loss: 0.3775 531/536 [============================>.] - ETA: 0s - loss: 72.5443 - logits_profile_predictions_loss: 72.1668 - logcount_predictions_loss: 0.3775 532/536 [============================>.] - ETA: 0s - loss: 72.5629 - logits_profile_predictions_loss: 72.1856 - logcount_predictions_loss: 0.3774 533/536 [============================>.] - ETA: 0s - loss: 72.5396 - logits_profile_predictions_loss: 72.1620 - logcount_predictions_loss: 0.3776 534/536 [============================>.] - ETA: 0s - loss: 72.5354 - logits_profile_predictions_loss: 72.1578 - logcount_predictions_loss: 0.3776 535/536 [============================>.] - ETA: 0s - loss: 72.5558 - logits_profile_predictions_loss: 72.1784 - logcount_predictions_loss: 0.3774 536/536 [==============================] - ETA: 0s - loss: 72.5572 - logits_profile_predictions_loss: 72.1801 - logcount_predictions_loss: 0.3771 Epoch 8: val_loss did not improve from 75.82667  536/536 [==============================] - 77s 144ms/step - loss: 72.5572 - logits_profile_predictions_loss: 72.1801 - logcount_predictions_loss: 0.3771 - val_loss: 76.3031 - val_logits_profile_predictions_loss: 75.9643 - val_logcount_predictions_loss: 0.3388 Epoch 9/50 1/536 [..............................] - ETA: 1:18 - loss: 67.5966 - logits_profile_predictions_loss: 67.3108 - logcount_predictions_loss: 0.2858 2/536 [..............................] - ETA: 1:11 - loss: 65.2843 - logits_profile_predictions_loss: 65.0395 - logcount_predictions_loss: 0.2448 3/536 [..............................] - ETA: 1:11 - loss: 69.8133 - logits_profile_predictions_loss: 69.5505 - logcount_predictions_loss: 0.2628 4/536 [..............................] - ETA: 1:11 - loss: 68.7191 - logits_profile_predictions_loss: 68.4349 - logcount_predictions_loss: 0.2841 5/536 [..............................] - ETA: 1:11 - loss: 69.3965 - logits_profile_predictions_loss: 69.1126 - logcount_predictions_loss: 0.2838 6/536 [..............................] - ETA: 1:11 - loss: 70.9388 - logits_profile_predictions_loss: 70.6415 - logcount_predictions_loss: 0.2973 7/536 [..............................] - ETA: 1:10 - loss: 69.0624 - logits_profile_predictions_loss: 68.7618 - logcount_predictions_loss: 0.3006 8/536 [..............................] - ETA: 1:10 - loss: 69.9196 - logits_profile_predictions_loss: 69.6208 - logcount_predictions_loss: 0.2988 9/536 [..............................] - ETA: 1:10 - loss: 69.7427 - logits_profile_predictions_loss: 69.4315 - logcount_predictions_loss: 0.3112 10/536 [..............................] - ETA: 1:10 - loss: 70.7478 - logits_profile_predictions_loss: 70.4340 - logcount_predictions_loss: 0.3138 11/536 [..............................] - ETA: 1:10 - loss: 71.2664 - logits_profile_predictions_loss: 70.9648 - logcount_predictions_loss: 0.3016 12/536 [..............................] - ETA: 1:10 - loss: 71.5773 - logits_profile_predictions_loss: 71.2793 - logcount_predictions_loss: 0.2981 13/536 [..............................] - ETA: 1:10 - loss: 72.7550 - logits_profile_predictions_loss: 72.4557 - logcount_predictions_loss: 0.2993 14/536 [..............................] - ETA: 1:09 - loss: 72.3115 - logits_profile_predictions_loss: 72.0066 - logcount_predictions_loss: 0.3049 15/536 [..............................] - ETA: 1:09 - loss: 72.9904 - logits_profile_predictions_loss: 72.6861 - logcount_predictions_loss: 0.3043 16/536 [..............................] - ETA: 1:09 - loss: 72.2047 - logits_profile_predictions_loss: 71.8991 - logcount_predictions_loss: 0.3056 17/536 [..............................] - ETA: 1:09 - loss: 71.5072 - logits_profile_predictions_loss: 71.1955 - logcount_predictions_loss: 0.3117 18/536 [>.............................] - ETA: 1:09 - loss: 71.5722 - logits_profile_predictions_loss: 71.2580 - logcount_predictions_loss: 0.3141 19/536 [>.............................] - ETA: 1:09 - loss: 71.5158 - logits_profile_predictions_loss: 71.1990 - logcount_predictions_loss: 0.3168 20/536 [>.............................] - ETA: 1:09 - loss: 71.1302 - logits_profile_predictions_loss: 70.8102 - logcount_predictions_loss: 0.3199 21/536 [>.............................] - ETA: 1:08 - loss: 71.1119 - logits_profile_predictions_loss: 70.7933 - logcount_predictions_loss: 0.3186 22/536 [>.............................] - ETA: 1:08 - loss: 71.4022 - logits_profile_predictions_loss: 71.0848 - logcount_predictions_loss: 0.3175 23/536 [>.............................] - ETA: 1:08 - loss: 71.3554 - logits_profile_predictions_loss: 71.0260 - logcount_predictions_loss: 0.3294 24/536 [>.............................] - ETA: 1:08 - loss: 71.3237 - logits_profile_predictions_loss: 70.9956 - logcount_predictions_loss: 0.3281 25/536 [>.............................] - ETA: 1:08 - loss: 71.4232 - logits_profile_predictions_loss: 71.0944 - logcount_predictions_loss: 0.3288 26/536 [>.............................] - ETA: 1:08 - loss: 71.4830 - logits_profile_predictions_loss: 71.1513 - logcount_predictions_loss: 0.3317 27/536 [>.............................] - ETA: 1:08 - loss: 71.4095 - logits_profile_predictions_loss: 71.0777 - logcount_predictions_loss: 0.3318 28/536 [>.............................] - ETA: 1:08 - loss: 71.5145 - logits_profile_predictions_loss: 71.1818 - logcount_predictions_loss: 0.3327 29/536 [>.............................] - ETA: 1:07 - loss: 71.3516 - logits_profile_predictions_loss: 71.0198 - logcount_predictions_loss: 0.3318 30/536 [>.............................] - ETA: 1:07 - loss: 71.3096 - logits_profile_predictions_loss: 70.9778 - logcount_predictions_loss: 0.3318 31/536 [>.............................] - ETA: 1:07 - loss: 71.7436 - logits_profile_predictions_loss: 71.4119 - logcount_predictions_loss: 0.3317 32/536 [>.............................] - ETA: 1:07 - loss: 71.8108 - logits_profile_predictions_loss: 71.4808 - logcount_predictions_loss: 0.3300 33/536 [>.............................] - ETA: 1:07 - loss: 71.7858 - logits_profile_predictions_loss: 71.4553 - logcount_predictions_loss: 0.3306 34/536 [>.............................] - ETA: 1:07 - loss: 71.8096 - logits_profile_predictions_loss: 71.4807 - logcount_predictions_loss: 0.3289 35/536 [>.............................] - ETA: 1:07 - loss: 71.8724 - logits_profile_predictions_loss: 71.5449 - logcount_predictions_loss: 0.3276 36/536 [=>............................] - ETA: 1:06 - loss: 71.6820 - logits_profile_predictions_loss: 71.3546 - logcount_predictions_loss: 0.3274 37/536 [=>............................] - ETA: 1:06 - loss: 71.9887 - logits_profile_predictions_loss: 71.6633 - logcount_predictions_loss: 0.3255 38/536 [=>............................] - ETA: 1:06 - loss: 71.6813 - logits_profile_predictions_loss: 71.3553 - logcount_predictions_loss: 0.3260 39/536 [=>............................] - ETA: 1:06 - loss: 71.6723 - logits_profile_predictions_loss: 71.3468 - logcount_predictions_loss: 0.3255 40/536 [=>............................] - ETA: 1:06 - loss: 71.6112 - logits_profile_predictions_loss: 71.2859 - logcount_predictions_loss: 0.3253 41/536 [=>............................] - ETA: 1:06 - loss: 71.6501 - logits_profile_predictions_loss: 71.3232 - logcount_predictions_loss: 0.3270 42/536 [=>............................] - ETA: 1:06 - loss: 71.4005 - logits_profile_predictions_loss: 71.0725 - logcount_predictions_loss: 0.3279 43/536 [=>............................] - ETA: 1:06 - loss: 71.6840 - logits_profile_predictions_loss: 71.3542 - logcount_predictions_loss: 0.3298 44/536 [=>............................] - ETA: 1:06 - loss: 71.8665 - 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logcount_predictions_loss: 0.3674 497/536 [==========================>...] - ETA: 5s - loss: 71.9116 - logits_profile_predictions_loss: 71.5443 - logcount_predictions_loss: 0.3673 498/536 [==========================>...] - ETA: 5s - loss: 71.9171 - logits_profile_predictions_loss: 71.5496 - logcount_predictions_loss: 0.3674 499/536 [==========================>...] - ETA: 4s - loss: 71.9088 - logits_profile_predictions_loss: 71.5413 - logcount_predictions_loss: 0.3674 500/536 [==========================>...] - ETA: 4s - loss: 71.9099 - logits_profile_predictions_loss: 71.5422 - logcount_predictions_loss: 0.3677 501/536 [===========================>..] - ETA: 4s - loss: 71.8955 - logits_profile_predictions_loss: 71.5278 - logcount_predictions_loss: 0.3676 502/536 [===========================>..] - ETA: 4s - loss: 71.9002 - logits_profile_predictions_loss: 71.5326 - logcount_predictions_loss: 0.3675 503/536 [===========================>..] - ETA: 4s - loss: 71.8936 - 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3s - loss: 71.9265 - logits_profile_predictions_loss: 71.5592 - logcount_predictions_loss: 0.3672 511/536 [===========================>..] - ETA: 3s - loss: 71.9261 - logits_profile_predictions_loss: 71.5592 - logcount_predictions_loss: 0.3668 512/536 [===========================>..] - ETA: 3s - loss: 71.9011 - logits_profile_predictions_loss: 71.5343 - logcount_predictions_loss: 0.3667 513/536 [===========================>..] - ETA: 3s - loss: 71.8849 - logits_profile_predictions_loss: 71.5181 - logcount_predictions_loss: 0.3667 514/536 [===========================>..] - ETA: 2s - loss: 71.9067 - logits_profile_predictions_loss: 71.5398 - logcount_predictions_loss: 0.3668 515/536 [===========================>..] - ETA: 2s - loss: 71.9040 - logits_profile_predictions_loss: 71.5373 - logcount_predictions_loss: 0.3667 516/536 [===========================>..] - ETA: 2s - loss: 71.9147 - logits_profile_predictions_loss: 71.5481 - logcount_predictions_loss: 0.3665 517/536 [===========================>..] - ETA: 2s - loss: 71.9034 - logits_profile_predictions_loss: 71.5368 - logcount_predictions_loss: 0.3666 518/536 [===========================>..] - ETA: 2s - loss: 71.9081 - logits_profile_predictions_loss: 71.5414 - logcount_predictions_loss: 0.3667 519/536 [============================>.] - ETA: 2s - loss: 71.9120 - logits_profile_predictions_loss: 71.5447 - logcount_predictions_loss: 0.3673 520/536 [============================>.] - ETA: 2s - loss: 71.9163 - logits_profile_predictions_loss: 71.5490 - logcount_predictions_loss: 0.3673 521/536 [============================>.] - ETA: 2s - loss: 71.9036 - logits_profile_predictions_loss: 71.5362 - logcount_predictions_loss: 0.3673 522/536 [============================>.] - ETA: 1s - loss: 71.9162 - logits_profile_predictions_loss: 71.5490 - logcount_predictions_loss: 0.3671 523/536 [============================>.] - ETA: 1s - loss: 71.9089 - logits_profile_predictions_loss: 71.5418 - logcount_predictions_loss: 0.3670 524/536 [============================>.] - ETA: 1s - loss: 71.8999 - logits_profile_predictions_loss: 71.5328 - logcount_predictions_loss: 0.3670 525/536 [============================>.] - ETA: 1s - loss: 71.8840 - logits_profile_predictions_loss: 71.5167 - logcount_predictions_loss: 0.3673 526/536 [============================>.] - ETA: 1s - loss: 71.8672 - logits_profile_predictions_loss: 71.4999 - logcount_predictions_loss: 0.3672 527/536 [============================>.] - ETA: 1s - loss: 71.8544 - logits_profile_predictions_loss: 71.4871 - logcount_predictions_loss: 0.3673 528/536 [============================>.] - ETA: 1s - loss: 71.8305 - logits_profile_predictions_loss: 71.4632 - logcount_predictions_loss: 0.3672 529/536 [============================>.] - ETA: 0s - loss: 71.8228 - logits_profile_predictions_loss: 71.4555 - logcount_predictions_loss: 0.3673 530/536 [============================>.] - ETA: 0s - loss: 71.8549 - logits_profile_predictions_loss: 71.4876 - logcount_predictions_loss: 0.3672 531/536 [============================>.] - ETA: 0s - loss: 71.8314 - logits_profile_predictions_loss: 71.4640 - logcount_predictions_loss: 0.3673 532/536 [============================>.] - ETA: 0s - loss: 71.8138 - logits_profile_predictions_loss: 71.4464 - logcount_predictions_loss: 0.3674 533/536 [============================>.] - ETA: 0s - loss: 71.8000 - logits_profile_predictions_loss: 71.4325 - logcount_predictions_loss: 0.3675 534/536 [============================>.] - ETA: 0s - loss: 71.8067 - logits_profile_predictions_loss: 71.4391 - logcount_predictions_loss: 0.3676 535/536 [============================>.] - ETA: 0s - loss: 71.8191 - logits_profile_predictions_loss: 71.4515 - logcount_predictions_loss: 0.3675 536/536 [==============================] - ETA: 0s - loss: 71.8317 - logits_profile_predictions_loss: 71.4640 - logcount_predictions_loss: 0.3676 Epoch 9: val_loss did not improve from 75.82667  536/536 [==============================] - 77s 144ms/step - loss: 71.8317 - logits_profile_predictions_loss: 71.4640 - logcount_predictions_loss: 0.3676 - val_loss: 76.7882 - val_logits_profile_predictions_loss: 76.4475 - val_logcount_predictions_loss: 0.3407 Epoch 10/50 1/536 [..............................] - ETA: 1:17 - loss: 74.1323 - logits_profile_predictions_loss: 73.8052 - logcount_predictions_loss: 0.3271 2/536 [..............................] - ETA: 1:11 - loss: 70.7997 - logits_profile_predictions_loss: 70.4948 - logcount_predictions_loss: 0.3049 3/536 [..............................] - ETA: 1:11 - loss: 68.2688 - logits_profile_predictions_loss: 67.9592 - logcount_predictions_loss: 0.3096 4/536 [..............................] - ETA: 1:11 - loss: 65.1842 - logits_profile_predictions_loss: 64.8927 - logcount_predictions_loss: 0.2915 5/536 [..............................] - ETA: 1:11 - loss: 66.9275 - logits_profile_predictions_loss: 66.6325 - logcount_predictions_loss: 0.2950 6/536 [..............................] - ETA: 1:11 - loss: 66.1383 - logits_profile_predictions_loss: 65.8448 - logcount_predictions_loss: 0.2934 7/536 [..............................] - ETA: 1:10 - loss: 65.8780 - logits_profile_predictions_loss: 65.5807 - logcount_predictions_loss: 0.2973 8/536 [..............................] - ETA: 1:10 - loss: 66.5047 - logits_profile_predictions_loss: 66.2025 - logcount_predictions_loss: 0.3023 9/536 [..............................] - ETA: 1:10 - loss: 67.5309 - logits_profile_predictions_loss: 67.1982 - logcount_predictions_loss: 0.3328 10/536 [..............................] - ETA: 1:10 - loss: 68.4748 - logits_profile_predictions_loss: 68.1318 - logcount_predictions_loss: 0.3429 11/536 [..............................] - ETA: 1:10 - loss: 68.7570 - logits_profile_predictions_loss: 68.4187 - logcount_predictions_loss: 0.3383 12/536 [..............................] - ETA: 1:10 - loss: 69.1040 - logits_profile_predictions_loss: 68.7532 - logcount_predictions_loss: 0.3508 13/536 [..............................] - ETA: 1:10 - loss: 68.5848 - logits_profile_predictions_loss: 68.2327 - logcount_predictions_loss: 0.3521 14/536 [..............................] - ETA: 1:09 - loss: 68.7532 - logits_profile_predictions_loss: 68.4103 - logcount_predictions_loss: 0.3429 15/536 [..............................] - ETA: 1:09 - loss: 69.0193 - logits_profile_predictions_loss: 68.6825 - logcount_predictions_loss: 0.3369 16/536 [..............................] - ETA: 1:09 - loss: 69.1219 - logits_profile_predictions_loss: 68.7834 - logcount_predictions_loss: 0.3385 17/536 [..............................] - ETA: 1:09 - loss: 68.7493 - logits_profile_predictions_loss: 68.4080 - logcount_predictions_loss: 0.3413 18/536 [>.............................] - ETA: 1:09 - loss: 68.2335 - logits_profile_predictions_loss: 67.8929 - logcount_predictions_loss: 0.3406 19/536 [>.............................] - ETA: 1:09 - loss: 68.6100 - logits_profile_predictions_loss: 68.2742 - logcount_predictions_loss: 0.3358 20/536 [>.............................] - ETA: 1:09 - loss: 68.7359 - logits_profile_predictions_loss: 68.4055 - logcount_predictions_loss: 0.3304 21/536 [>.............................] - ETA: 1:08 - loss: 68.6048 - logits_profile_predictions_loss: 68.2688 - logcount_predictions_loss: 0.3359 22/536 [>.............................] - ETA: 1:08 - loss: 68.5061 - logits_profile_predictions_loss: 68.1687 - logcount_predictions_loss: 0.3374 23/536 [>.............................] - ETA: 1:08 - loss: 68.3232 - logits_profile_predictions_loss: 67.9822 - logcount_predictions_loss: 0.3410 24/536 [>.............................] - ETA: 1:08 - loss: 68.2387 - logits_profile_predictions_loss: 67.8977 - logcount_predictions_loss: 0.3410 25/536 [>.............................] - ETA: 1:08 - loss: 67.9893 - logits_profile_predictions_loss: 67.6466 - logcount_predictions_loss: 0.3427 26/536 [>.............................] - ETA: 1:08 - loss: 67.8855 - logits_profile_predictions_loss: 67.5433 - logcount_predictions_loss: 0.3422 27/536 [>.............................] - ETA: 1:08 - loss: 68.1601 - logits_profile_predictions_loss: 67.8236 - logcount_predictions_loss: 0.3365 28/536 [>.............................] - ETA: 1:08 - loss: 68.0154 - logits_profile_predictions_loss: 67.6802 - logcount_predictions_loss: 0.3352 29/536 [>.............................] - ETA: 1:07 - loss: 68.1194 - logits_profile_predictions_loss: 67.7839 - logcount_predictions_loss: 0.3356 30/536 [>.............................] - ETA: 1:07 - loss: 68.4213 - logits_profile_predictions_loss: 68.0837 - logcount_predictions_loss: 0.3376 31/536 [>.............................] - ETA: 1:07 - loss: 68.4692 - logits_profile_predictions_loss: 68.1313 - logcount_predictions_loss: 0.3378 32/536 [>.............................] - ETA: 1:07 - loss: 68.3281 - logits_profile_predictions_loss: 67.9891 - logcount_predictions_loss: 0.3390 33/536 [>.............................] - ETA: 1:07 - loss: 68.5358 - logits_profile_predictions_loss: 68.1925 - logcount_predictions_loss: 0.3433 34/536 [>.............................] - ETA: 1:07 - loss: 68.1651 - logits_profile_predictions_loss: 67.8187 - logcount_predictions_loss: 0.3464 35/536 [>.............................] - ETA: 1:07 - loss: 68.0513 - logits_profile_predictions_loss: 67.7047 - logcount_predictions_loss: 0.3466 36/536 [=>............................] - ETA: 1:06 - loss: 68.1407 - logits_profile_predictions_loss: 67.7924 - logcount_predictions_loss: 0.3482 37/536 [=>............................] - ETA: 1:06 - loss: 68.5114 - logits_profile_predictions_loss: 68.1541 - logcount_predictions_loss: 0.3573 38/536 [=>............................] - ETA: 1:06 - loss: 68.1421 - logits_profile_predictions_loss: 67.7862 - logcount_predictions_loss: 0.3559 39/536 [=>............................] - ETA: 1:06 - loss: 68.2497 - logits_profile_predictions_loss: 67.8929 - logcount_predictions_loss: 0.3568 40/536 [=>............................] - ETA: 1:06 - loss: 68.2239 - logits_profile_predictions_loss: 67.8666 - logcount_predictions_loss: 0.3572 41/536 [=>............................] - ETA: 1:06 - loss: 68.2369 - logits_profile_predictions_loss: 67.8806 - logcount_predictions_loss: 0.3563 42/536 [=>............................] - ETA: 1:06 - loss: 68.4476 - logits_profile_predictions_loss: 68.0848 - logcount_predictions_loss: 0.3629 43/536 [=>............................] - ETA: 1:06 - loss: 68.3496 - logits_profile_predictions_loss: 67.9871 - logcount_predictions_loss: 0.3625 44/536 [=>............................] - ETA: 1:05 - loss: 68.4750 - logits_profile_predictions_loss: 68.1141 - logcount_predictions_loss: 0.3610 45/536 [=>............................] - ETA: 1:05 - loss: 68.4097 - logits_profile_predictions_loss: 68.0496 - logcount_predictions_loss: 0.3601 46/536 [=>............................] - ETA: 1:05 - loss: 68.5425 - logits_profile_predictions_loss: 68.1830 - logcount_predictions_loss: 0.3595 47/536 [=>............................] - ETA: 1:05 - loss: 68.3931 - logits_profile_predictions_loss: 68.0332 - logcount_predictions_loss: 0.3599 48/536 [=>............................] - ETA: 1:05 - loss: 68.3634 - logits_profile_predictions_loss: 68.0032 - logcount_predictions_loss: 0.3602 49/536 [=>............................] - ETA: 1:05 - loss: 68.3394 - logits_profile_predictions_loss: 67.9796 - logcount_predictions_loss: 0.3598 50/536 [=>............................] - ETA: 1:05 - loss: 68.2996 - logits_profile_predictions_loss: 67.9425 - logcount_predictions_loss: 0.3571 51/536 [=>............................] - ETA: 1:04 - loss: 68.0910 - logits_profile_predictions_loss: 67.7322 - logcount_predictions_loss: 0.3588 52/536 [=>............................] - ETA: 1:04 - loss: 68.0469 - logits_profile_predictions_loss: 67.6881 - logcount_predictions_loss: 0.3588 53/536 [=>............................] - ETA: 1:04 - loss: 68.0317 - logits_profile_predictions_loss: 67.6751 - logcount_predictions_loss: 0.3565 54/536 [==>...........................] - ETA: 1:04 - loss: 67.7986 - logits_profile_predictions_loss: 67.4429 - logcount_predictions_loss: 0.3557 55/536 [==>...........................] - ETA: 1:04 - loss: 67.7940 - logits_profile_predictions_loss: 67.4384 - logcount_predictions_loss: 0.3556 56/536 [==>...........................] - ETA: 1:04 - loss: 68.0162 - logits_profile_predictions_loss: 67.6572 - logcount_predictions_loss: 0.3589 57/536 [==>...........................] - ETA: 1:04 - loss: 67.9903 - logits_profile_predictions_loss: 67.6332 - logcount_predictions_loss: 0.3571 58/536 [==>...........................] - ETA: 1:04 - loss: 68.1071 - logits_profile_predictions_loss: 67.7510 - logcount_predictions_loss: 0.3561 59/536 [==>...........................] - ETA: 1:03 - loss: 68.0319 - logits_profile_predictions_loss: 67.6753 - logcount_predictions_loss: 0.3566 60/536 [==>...........................] - ETA: 1:03 - loss: 68.0599 - logits_profile_predictions_loss: 67.7045 - logcount_predictions_loss: 0.3555 61/536 [==>...........................] - ETA: 1:03 - loss: 67.9918 - logits_profile_predictions_loss: 67.6364 - logcount_predictions_loss: 0.3555 62/536 [==>...........................] - ETA: 1:03 - loss: 67.8960 - logits_profile_predictions_loss: 67.5419 - logcount_predictions_loss: 0.3541 63/536 [==>...........................] - ETA: 1:03 - loss: 68.0895 - logits_profile_predictions_loss: 67.7348 - logcount_predictions_loss: 0.3546 64/536 [==>...........................] - ETA: 1:03 - loss: 68.1863 - logits_profile_predictions_loss: 67.8311 - logcount_predictions_loss: 0.3553 65/536 [==>...........................] - ETA: 1:03 - loss: 68.2968 - logits_profile_predictions_loss: 67.9390 - logcount_predictions_loss: 0.3579 66/536 [==>...........................] - ETA: 1:03 - loss: 68.2717 - logits_profile_predictions_loss: 67.9148 - logcount_predictions_loss: 0.3570 67/536 [==>...........................] - ETA: 1:02 - loss: 68.1931 - logits_profile_predictions_loss: 67.8377 - logcount_predictions_loss: 0.3554 68/536 [==>...........................] - ETA: 1:02 - loss: 68.3624 - logits_profile_predictions_loss: 68.0052 - logcount_predictions_loss: 0.3572 69/536 [==>...........................] - ETA: 1:02 - loss: 68.3816 - logits_profile_predictions_loss: 68.0249 - logcount_predictions_loss: 0.3567 70/536 [==>...........................] - ETA: 1:02 - loss: 68.2850 - logits_profile_predictions_loss: 67.9263 - logcount_predictions_loss: 0.3587 71/536 [==>...........................] - ETA: 1:02 - loss: 68.5824 - logits_profile_predictions_loss: 68.2219 - logcount_predictions_loss: 0.3606 72/536 [===>..........................] - ETA: 1:02 - loss: 68.7089 - logits_profile_predictions_loss: 68.3476 - logcount_predictions_loss: 0.3613 73/536 [===>..........................] - ETA: 1:02 - loss: 68.7614 - logits_profile_predictions_loss: 68.4019 - logcount_predictions_loss: 0.3595 74/536 [===>..........................] - ETA: 1:01 - loss: 68.8615 - logits_profile_predictions_loss: 68.5029 - logcount_predictions_loss: 0.3586 75/536 [===>..........................] - ETA: 1:01 - loss: 68.9646 - logits_profile_predictions_loss: 68.6068 - logcount_predictions_loss: 0.3579 76/536 [===>..........................] - ETA: 1:01 - loss: 69.1108 - logits_profile_predictions_loss: 68.7550 - logcount_predictions_loss: 0.3558 77/536 [===>..........................] - ETA: 1:01 - loss: 69.2297 - logits_profile_predictions_loss: 68.8751 - logcount_predictions_loss: 0.3546 78/536 [===>..........................] - ETA: 1:01 - loss: 69.2305 - logits_profile_predictions_loss: 68.8766 - logcount_predictions_loss: 0.3539 79/536 [===>..........................] - ETA: 1:01 - loss: 69.5101 - logits_profile_predictions_loss: 69.1561 - logcount_predictions_loss: 0.3540 80/536 [===>..........................] - ETA: 1:01 - loss: 69.3997 - logits_profile_predictions_loss: 69.0461 - logcount_predictions_loss: 0.3536 81/536 [===>..........................] - ETA: 1:01 - loss: 69.2992 - logits_profile_predictions_loss: 68.9442 - logcount_predictions_loss: 0.3551 82/536 [===>..........................] - ETA: 1:00 - loss: 69.3777 - logits_profile_predictions_loss: 69.0227 - logcount_predictions_loss: 0.3550 83/536 [===>..........................] - ETA: 1:00 - loss: 69.5447 - logits_profile_predictions_loss: 69.1880 - logcount_predictions_loss: 0.3567 84/536 [===>..........................] - ETA: 1:00 - loss: 69.6039 - logits_profile_predictions_loss: 69.2472 - logcount_predictions_loss: 0.3567 85/536 [===>..........................] - ETA: 1:00 - loss: 69.6126 - logits_profile_predictions_loss: 69.2538 - logcount_predictions_loss: 0.3588 86/536 [===>..........................] - ETA: 1:00 - loss: 69.6662 - logits_profile_predictions_loss: 69.3063 - logcount_predictions_loss: 0.3598 87/536 [===>..........................] - ETA: 1:00 - loss: 69.7536 - logits_profile_predictions_loss: 69.3942 - logcount_predictions_loss: 0.3595 88/536 [===>..........................] - ETA: 1:00 - loss: 69.8430 - logits_profile_predictions_loss: 69.4843 - logcount_predictions_loss: 0.3587 89/536 [===>..........................] - ETA: 59s - loss: 69.8431 - logits_profile_predictions_loss: 69.4833 - logcount_predictions_loss: 0.3598  90/536 [====>.........................] - ETA: 59s - loss: 69.9206 - logits_profile_predictions_loss: 69.5607 - logcount_predictions_loss: 0.3599 91/536 [====>.........................] - ETA: 59s - loss: 69.8901 - logits_profile_predictions_loss: 69.5302 - logcount_predictions_loss: 0.3599 92/536 [====>.........................] - ETA: 59s - loss: 69.9705 - logits_profile_predictions_loss: 69.6083 - logcount_predictions_loss: 0.3622 93/536 [====>.........................] - ETA: 59s - loss: 69.9434 - logits_profile_predictions_loss: 69.5804 - 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[============================>.] - ETA: 2s - loss: 71.0960 - logits_profile_predictions_loss: 70.7270 - logcount_predictions_loss: 0.3691 520/536 [============================>.] - ETA: 2s - loss: 71.0856 - logits_profile_predictions_loss: 70.7167 - logcount_predictions_loss: 0.3689 521/536 [============================>.] - ETA: 2s - loss: 71.0998 - logits_profile_predictions_loss: 70.7310 - logcount_predictions_loss: 0.3688 522/536 [============================>.] - ETA: 1s - loss: 71.1067 - logits_profile_predictions_loss: 70.7378 - logcount_predictions_loss: 0.3689 523/536 [============================>.] - ETA: 1s - loss: 71.0870 - logits_profile_predictions_loss: 70.7183 - logcount_predictions_loss: 0.3687 524/536 [============================>.] - ETA: 1s - loss: 71.0727 - logits_profile_predictions_loss: 70.7040 - logcount_predictions_loss: 0.3687 525/536 [============================>.] - ETA: 1s - loss: 71.0587 - logits_profile_predictions_loss: 70.6901 - logcount_predictions_loss: 0.3686 526/536 [============================>.] - ETA: 1s - loss: 71.0958 - logits_profile_predictions_loss: 70.7273 - logcount_predictions_loss: 0.3685 527/536 [============================>.] - ETA: 1s - loss: 71.1286 - logits_profile_predictions_loss: 70.7599 - logcount_predictions_loss: 0.3686 528/536 [============================>.] - ETA: 1s - loss: 71.1405 - logits_profile_predictions_loss: 70.7719 - logcount_predictions_loss: 0.3686 529/536 [============================>.] - ETA: 0s - loss: 71.1415 - logits_profile_predictions_loss: 70.7729 - logcount_predictions_loss: 0.3686 530/536 [============================>.] - ETA: 0s - loss: 71.1477 - logits_profile_predictions_loss: 70.7793 - logcount_predictions_loss: 0.3684 531/536 [============================>.] - ETA: 0s - loss: 71.1390 - logits_profile_predictions_loss: 70.7707 - logcount_predictions_loss: 0.3683 532/536 [============================>.] - ETA: 0s - loss: 71.1787 - logits_profile_predictions_loss: 70.8104 - logcount_predictions_loss: 0.3683 533/536 [============================>.] - ETA: 0s - loss: 71.1889 - logits_profile_predictions_loss: 70.8206 - logcount_predictions_loss: 0.3684 534/536 [============================>.] - ETA: 0s - loss: 71.1863 - logits_profile_predictions_loss: 70.8180 - logcount_predictions_loss: 0.3683 535/536 [============================>.] - ETA: 0s - loss: 71.1887 - logits_profile_predictions_loss: 70.8205 - logcount_predictions_loss: 0.3683 536/536 [==============================] - ETA: 0s - loss: 71.1887 - logits_profile_predictions_loss: 70.8203 - logcount_predictions_loss: 0.3684 Epoch 10: val_loss did not improve from 75.82667 Restoring model weights from the end of the best epoch: 5.  536/536 [==============================] - 77s 144ms/step - loss: 71.1887 - logits_profile_predictions_loss: 70.8203 - logcount_predictions_loss: 0.3684 - val_loss: 77.1310 - val_logits_profile_predictions_loss: 76.7829 - val_logcount_predictions_loss: 0.3481 Epoch 10: early stopping save model save model without bias got the model loading peaks... got split:test for bed regions:(8212, 10) 0/129 100/129 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 1/129 [..............................] - ETA: 19s 3/129 [..............................] - ETA: 5s  5/129 [>.............................] - ETA: 5s 7/129 [>.............................] - ETA: 5s 9/129 [=>............................] - ETA: 5s 11/129 [=>............................] - ETA: 5s 13/129 [==>...........................] - ETA: 5s 15/129 [==>...........................] - ETA: 5s 17/129 [==>...........................] - ETA: 5s 19/129 [===>..........................] - ETA: 5s 21/129 [===>..........................] - ETA: 5s 23/129 [====>.........................] - ETA: 5s 25/129 [====>.........................] - ETA: 4s 27/129 [=====>........................] - ETA: 4s 29/129 [=====>........................] - ETA: 4s 31/129 [======>.......................] - ETA: 4s 33/129 [======>.......................] - ETA: 4s 35/129 [=======>......................] - ETA: 4s 37/129 [=======>......................] - ETA: 4s 39/129 [========>.....................] - ETA: 4s 41/129 [========>.....................] - ETA: 4s 43/129 [=========>....................] - ETA: 4s 45/129 [=========>....................] - ETA: 3s 47/129 [=========>....................] - ETA: 3s 49/129 [==========>...................] - ETA: 3s 51/129 [==========>...................] - ETA: 3s 53/129 [===========>..................] - ETA: 3s 55/129 [===========>..................] - ETA: 3s 57/129 [============>.................] - ETA: 3s 59/129 [============>.................] - ETA: 3s 61/129 [=============>................] - ETA: 3s 63/129 [=============>................] - ETA: 3s 65/129 [==============>...............] - ETA: 3s 67/129 [==============>...............] - ETA: 2s 69/129 [===============>..............] - ETA: 2s 71/129 [===============>..............] - ETA: 2s 73/129 [===============>..............] - ETA: 2s 75/129 [================>.............] - ETA: 2s 77/129 [================>.............] - ETA: 2s 79/129 [=================>............] - ETA: 2s 81/129 [=================>............] - ETA: 2s 83/129 [==================>...........] - ETA: 2s 85/129 [==================>...........] - ETA: 2s 87/129 [===================>..........] - ETA: 1s 89/129 [===================>..........] - ETA: 1s 91/129 [====================>.........] - ETA: 1s 93/129 [====================>.........] - ETA: 1s 95/129 [=====================>........] - ETA: 1s 97/129 [=====================>........] - ETA: 1s 99/129 [======================>.......] - ETA: 1s 101/129 [======================>.......] - ETA: 1s 103/129 [======================>.......] - ETA: 1s 105/129 [=======================>......] - ETA: 1s 107/129 [=======================>......] - ETA: 1s 109/129 [========================>.....] - ETA: 0s 111/129 [========================>.....] - ETA: 0s 113/129 [=========================>....] - ETA: 0s 115/129 [=========================>....] - ETA: 0s 117/129 [==========================>...] - ETA: 0s 119/129 [==========================>...] - ETA: 0s 121/129 [===========================>..] - ETA: 0s 123/129 [===========================>..] - ETA: 0s 125/129 [============================>.] - ETA: 0s 127/129 [============================>.] - ETA: 0s 129/129 [==============================] - ETA: 0s 129/129 [==============================] - 6s 47ms/step 1/129 [..............................] - ETA: 2s 3/129 [..............................] - ETA: 5s 5/129 [>.............................] - ETA: 5s 7/129 [>.............................] - ETA: 5s 9/129 [=>............................] - ETA: 5s 11/129 [=>............................] - ETA: 5s 13/129 [==>...........................] - ETA: 5s 15/129 [==>...........................] - ETA: 5s 17/129 [==>...........................] - ETA: 5s 19/129 [===>..........................] - ETA: 5s 21/129 [===>..........................] - ETA: 5s 23/129 [====>.........................] - ETA: 5s 25/129 [====>.........................] - ETA: 4s 27/129 [=====>........................] - ETA: 4s 29/129 [=====>........................] - ETA: 4s 31/129 [======>.......................] - ETA: 4s 33/129 [======>.......................] - ETA: 4s 35/129 [=======>......................] - ETA: 4s 37/129 [=======>......................] - ETA: 4s 39/129 [========>.....................] - ETA: 4s 41/129 [========>.....................] - ETA: 4s 43/129 [=========>....................] - ETA: 4s 45/129 [=========>....................] - ETA: 3s 47/129 [=========>....................] - ETA: 3s 49/129 [==========>...................] - ETA: 3s 51/129 [==========>...................] - ETA: 3s 53/129 [===========>..................] - ETA: 3s 55/129 [===========>..................] - ETA: 3s 57/129 [============>.................] - ETA: 3s 59/129 [============>.................] - ETA: 3s 61/129 [=============>................] - ETA: 3s 63/129 [=============>................] - ETA: 3s 65/129 [==============>...............] - ETA: 3s 67/129 [==============>...............] - ETA: 2s 69/129 [===============>..............] - ETA: 2s 71/129 [===============>..............] - ETA: 2s 73/129 [===============>..............] - ETA: 2s 75/129 [================>.............] - ETA: 2s 77/129 [================>.............] - ETA: 2s 79/129 [=================>............] - ETA: 2s 81/129 [=================>............] - ETA: 2s 83/129 [==================>...........] - ETA: 2s 85/129 [==================>...........] - ETA: 2s 87/129 [===================>..........] - ETA: 1s 89/129 [===================>..........] - ETA: 1s 91/129 [====================>.........] - ETA: 1s 93/129 [====================>.........] - ETA: 1s 95/129 [=====================>........] - ETA: 1s 97/129 [=====================>........] - ETA: 1s 99/129 [======================>.......] - ETA: 1s 101/129 [======================>.......] - ETA: 1s 103/129 [======================>.......] - ETA: 1s 105/129 [=======================>......] - ETA: 1s 107/129 [=======================>......] - ETA: 1s 109/129 [========================>.....] - ETA: 0s 111/129 [========================>.....] - ETA: 0s 113/129 [=========================>....] - ETA: 0s 115/129 [=========================>....] - ETA: 0s 117/129 [==========================>...] - ETA: 0s 119/129 [==========================>...] - ETA: 0s 121/129 [===========================>..] - ETA: 0s 123/129 [===========================>..] - ETA: 0s 125/129 [============================>.] - ETA: 0s 127/129 [============================>.] - ETA: 0s 129/129 [==============================] - ETA: 0s 129/129 [==============================] - 6s 47ms/step inserting motif: tn5_1 GCACAGTACAGAGCTG 1/129 [..............................] - ETA: 1s 3/129 [..............................] - ETA: 5s 5/129 [>.............................] - ETA: 5s 7/129 [>.............................] - ETA: 5s 9/129 [=>............................] - ETA: 5s 11/129 [=>............................] - ETA: 5s 13/129 [==>...........................] - ETA: 5s 15/129 [==>...........................] - ETA: 5s 17/129 [==>...........................] - ETA: 5s 19/129 [===>..........................] - ETA: 5s 21/129 [===>..........................] - ETA: 5s 23/129 [====>.........................] - ETA: 5s 25/129 [====>.........................] - ETA: 4s 27/129 [=====>........................] - ETA: 4s 29/129 [=====>........................] - ETA: 4s 31/129 [======>.......................] - ETA: 4s 33/129 [======>.......................] - ETA: 4s 35/129 [=======>......................] - ETA: 4s 37/129 [=======>......................] - ETA: 4s 39/129 [========>.....................] - ETA: 4s 41/129 [========>.....................] - ETA: 4s 43/129 [=========>....................] - ETA: 4s 45/129 [=========>....................] - ETA: 3s 47/129 [=========>....................] - ETA: 3s 49/129 [==========>...................] - ETA: 3s 50/129 [==========>...................] - ETA: 3s 52/129 [===========>..................] - ETA: 3s 54/129 [===========>..................] - ETA: 3s 56/129 [============>.................] - ETA: 3s 58/129 [============>.................] - ETA: 3s 60/129 [============>.................] - ETA: 3s 62/129 [=============>................] - ETA: 3s 64/129 [=============>................] - ETA: 3s 66/129 [==============>...............] - ETA: 2s 68/129 [==============>...............] - ETA: 2s 70/129 [===============>..............] - ETA: 2s 72/129 [===============>..............] - ETA: 2s 74/129 [================>.............] - ETA: 2s 76/129 [================>.............] - ETA: 2s 78/129 [=================>............] - ETA: 2s 80/129 [=================>............] - ETA: 2s 82/129 [==================>...........] - ETA: 2s 84/129 [==================>...........] - ETA: 2s 86/129 [===================>..........] - ETA: 2s 88/129 [===================>..........] - ETA: 1s 90/129 [===================>..........] - ETA: 1s 92/129 [====================>.........] - ETA: 1s 94/129 [====================>.........] - ETA: 1s 96/129 [=====================>........] - ETA: 1s 98/129 [=====================>........] - ETA: 1s 100/129 [======================>.......] - ETA: 1s 102/129 [======================>.......] - ETA: 1s 104/129 [=======================>......] - ETA: 1s 106/129 [=======================>......] - ETA: 1s 108/129 [========================>.....] - ETA: 0s 110/129 [========================>.....] - ETA: 0s 112/129 [=========================>....] - ETA: 0s 114/129 [=========================>....] - ETA: 0s 116/129 [=========================>....] - ETA: 0s 118/129 [==========================>...] - ETA: 0s 120/129 [==========================>...] - ETA: 0s 122/129 [===========================>..] - ETA: 0s 124/129 [===========================>..] - ETA: 0s 126/129 [============================>.] - ETA: 0s 128/129 [============================>.] - ETA: 0s 129/129 [==============================] - 6s 47ms/step 1/129 [..............................] - ETA: 2s 3/129 [..............................] - ETA: 5s 5/129 [>.............................] - ETA: 5s 7/129 [>.............................] - ETA: 5s 9/129 [=>............................] - ETA: 5s 11/129 [=>............................] - ETA: 5s 13/129 [==>...........................] - ETA: 5s 15/129 [==>...........................] - ETA: 5s 17/129 [==>...........................] - ETA: 5s 19/129 [===>..........................] - ETA: 5s 21/129 [===>..........................] - ETA: 5s 23/129 [====>.........................] - ETA: 5s 25/129 [====>.........................] - ETA: 4s 27/129 [=====>........................] - ETA: 4s 29/129 [=====>........................] - ETA: 4s 31/129 [======>.......................] - ETA: 4s 33/129 [======>.......................] - ETA: 4s 35/129 [=======>......................] - ETA: 4s 37/129 [=======>......................] - ETA: 4s 39/129 [========>.....................] - ETA: 4s 41/129 [========>.....................] - ETA: 4s 43/129 [=========>....................] - ETA: 4s 45/129 [=========>....................] - ETA: 3s 47/129 [=========>....................] - ETA: 3s 49/129 [==========>...................] - ETA: 3s 51/129 [==========>...................] - ETA: 3s 53/129 [===========>..................] - ETA: 3s 55/129 [===========>..................] - ETA: 3s 57/129 [============>.................] - ETA: 3s 59/129 [============>.................] - ETA: 3s 61/129 [=============>................] - ETA: 3s 63/129 [=============>................] - ETA: 3s 65/129 [==============>...............] - ETA: 3s 67/129 [==============>...............] - ETA: 2s 69/129 [===============>..............] - ETA: 2s 71/129 [===============>..............] - ETA: 2s 73/129 [===============>..............] - ETA: 2s 75/129 [================>.............] - ETA: 2s 77/129 [================>.............] - ETA: 2s 79/129 [=================>............] - ETA: 2s 81/129 [=================>............] - ETA: 2s 83/129 [==================>...........] - ETA: 2s 85/129 [==================>...........] - ETA: 2s 87/129 [===================>..........] - ETA: 1s 89/129 [===================>..........] - ETA: 1s 91/129 [====================>.........] - ETA: 1s 93/129 [====================>.........] - ETA: 1s 95/129 [=====================>........] - ETA: 1s 97/129 [=====================>........] - ETA: 1s 99/129 [======================>.......] - ETA: 1s 101/129 [======================>.......] - ETA: 1s 103/129 [======================>.......] - ETA: 1s 105/129 [=======================>......] - ETA: 1s 107/129 [=======================>......] - ETA: 1s 109/129 [========================>.....] - ETA: 0s 111/129 [========================>.....] - ETA: 0s 113/129 [=========================>....] - ETA: 0s 115/129 [=========================>....] - ETA: 0s 117/129 [==========================>...] - ETA: 0s 119/129 [==========================>...] - ETA: 0s 121/129 [===========================>..] - ETA: 0s 123/129 [===========================>..] - ETA: 0s 125/129 [============================>.] - ETA: 0s 127/129 [============================>.] - ETA: 0s 129/129 [==============================] - ETA: 0s 129/129 [==============================] - 6s 47ms/step inserting motif: tn5_2 GTGCACAGTTCTAGAGTGTGCAG 1/129 [..............................] - ETA: 1s 3/129 [..............................] - ETA: 5s 5/129 [>.............................] - ETA: 5s 7/129 [>.............................] - ETA: 5s 9/129 [=>............................] - ETA: 5s 11/129 [=>............................] - ETA: 5s 13/129 [==>...........................] - ETA: 5s 15/129 [==>...........................] - ETA: 5s 17/129 [==>...........................] - ETA: 5s 19/129 [===>..........................] - ETA: 5s 21/129 [===>..........................] - ETA: 5s 23/129 [====>.........................] - ETA: 5s 25/129 [====>.........................] - ETA: 4s 27/129 [=====>........................] - ETA: 4s 29/129 [=====>........................] - ETA: 4s 31/129 [======>.......................] - ETA: 4s 33/129 [======>.......................] - ETA: 4s 35/129 [=======>......................] - ETA: 4s 37/129 [=======>......................] - ETA: 4s 39/129 [========>.....................] - ETA: 4s 41/129 [========>.....................] - ETA: 4s 43/129 [=========>....................] - ETA: 4s 45/129 [=========>....................] - ETA: 3s 47/129 [=========>....................] - ETA: 3s 49/129 [==========>...................] - ETA: 3s 51/129 [==========>...................] - ETA: 3s 53/129 [===========>..................] - ETA: 3s 55/129 [===========>..................] - ETA: 3s 57/129 [============>.................] - ETA: 3s 59/129 [============>.................] - ETA: 3s 61/129 [=============>................] - ETA: 3s 63/129 [=============>................] - ETA: 3s 65/129 [==============>...............] - ETA: 3s 67/129 [==============>...............] - ETA: 2s 69/129 [===============>..............] - ETA: 2s 71/129 [===============>..............] - ETA: 2s 73/129 [===============>..............] - ETA: 2s 75/129 [================>.............] - ETA: 2s 77/129 [================>.............] - ETA: 2s 79/129 [=================>............] - ETA: 2s 81/129 [=================>............] - ETA: 2s 83/129 [==================>...........] - ETA: 2s 85/129 [==================>...........] - ETA: 2s 87/129 [===================>..........] - ETA: 1s 89/129 [===================>..........] - ETA: 1s 91/129 [====================>.........] - ETA: 1s 93/129 [====================>.........] - ETA: 1s 95/129 [=====================>........] - ETA: 1s 97/129 [=====================>........] - ETA: 1s 99/129 [======================>.......] - ETA: 1s 101/129 [======================>.......] - ETA: 1s 103/129 [======================>.......] - ETA: 1s 105/129 [=======================>......] - ETA: 1s 107/129 [=======================>......] - ETA: 1s 109/129 [========================>.....] - ETA: 0s 111/129 [========================>.....] - ETA: 0s 113/129 [=========================>....] - ETA: 0s 115/129 [=========================>....] - ETA: 0s 117/129 [==========================>...] - ETA: 0s 119/129 [==========================>...] - ETA: 0s 121/129 [===========================>..] - ETA: 0s 123/129 [===========================>..] - ETA: 0s 125/129 [============================>.] - ETA: 0s 127/129 [============================>.] - ETA: 0s 129/129 [==============================] - ETA: 0s 129/129 [==============================] - 6s 47ms/step 1/129 [..............................] - ETA: 1s 3/129 [..............................] - ETA: 5s 5/129 [>.............................] - ETA: 5s 7/129 [>.............................] - ETA: 5s 9/129 [=>............................] - ETA: 5s 11/129 [=>............................] - ETA: 5s 13/129 [==>...........................] - ETA: 5s 15/129 [==>...........................] - ETA: 5s 17/129 [==>...........................] - ETA: 5s 19/129 [===>..........................] - ETA: 5s 21/129 [===>..........................] - ETA: 5s 23/129 [====>.........................] - ETA: 5s 25/129 [====>.........................] - ETA: 4s 27/129 [=====>........................] - ETA: 4s 29/129 [=====>........................] - ETA: 4s 31/129 [======>.......................] - ETA: 4s 33/129 [======>.......................] - ETA: 4s 35/129 [=======>......................] - ETA: 4s 37/129 [=======>......................] - ETA: 4s 39/129 [========>.....................] - ETA: 4s 41/129 [========>.....................] - ETA: 4s 43/129 [=========>....................] - ETA: 4s 45/129 [=========>....................] - ETA: 3s 47/129 [=========>....................] - ETA: 3s 49/129 [==========>...................] - ETA: 3s 51/129 [==========>...................] - ETA: 3s 53/129 [===========>..................] - ETA: 3s 55/129 [===========>..................] - ETA: 3s 57/129 [============>.................] - ETA: 3s 59/129 [============>.................] - ETA: 3s 61/129 [=============>................] - ETA: 3s 63/129 [=============>................] - ETA: 3s 65/129 [==============>...............] - ETA: 3s 67/129 [==============>...............] - ETA: 2s 69/129 [===============>..............] - ETA: 2s 71/129 [===============>..............] - ETA: 2s 73/129 [===============>..............] - ETA: 2s 75/129 [================>.............] - ETA: 2s 77/129 [================>.............] - ETA: 2s 79/129 [=================>............] - ETA: 2s 81/129 [=================>............] - ETA: 2s 83/129 [==================>...........] - ETA: 2s 85/129 [==================>...........] - ETA: 2s 87/129 [===================>..........] - ETA: 1s 89/129 [===================>..........] - ETA: 1s 91/129 [====================>.........] - ETA: 1s 93/129 [====================>.........] - ETA: 1s 95/129 [=====================>........] - ETA: 1s 97/129 [=====================>........] - ETA: 1s 99/129 [======================>.......] - ETA: 1s 101/129 [======================>.......] - ETA: 1s 103/129 [======================>.......] - ETA: 1s 105/129 [=======================>......] - ETA: 1s 107/129 [=======================>......] - ETA: 1s 109/129 [========================>.....] - ETA: 0s 111/129 [========================>.....] - ETA: 0s 113/129 [=========================>....] - ETA: 0s 115/129 [=========================>....] - ETA: 0s 117/129 [==========================>...] - ETA: 0s 119/129 [==========================>...] - ETA: 0s 121/129 [===========================>..] - ETA: 0s 123/129 [===========================>..] - ETA: 0s 125/129 [============================>.] - ETA: 0s 127/129 [============================>.] - ETA: 0s 129/129 [==============================] - ETA: 0s 129/129 [==============================] - 6s 47ms/step inserting motif: tn5_3 CCTCTACACTGTGCAGAA 1/129 [..............................] - ETA: 2s 3/129 [..............................] - ETA: 5s 5/129 [>.............................] - ETA: 5s 7/129 [>.............................] - ETA: 5s 9/129 [=>............................] - ETA: 5s 11/129 [=>............................] - ETA: 5s 13/129 [==>...........................] - ETA: 5s 15/129 [==>...........................] - ETA: 5s 17/129 [==>...........................] - ETA: 5s 19/129 [===>..........................] - ETA: 5s 21/129 [===>..........................] - ETA: 5s 23/129 [====>.........................] - ETA: 5s 25/129 [====>.........................] - ETA: 4s 27/129 [=====>........................] - ETA: 4s 29/129 [=====>........................] - ETA: 4s 31/129 [======>.......................] - ETA: 4s 33/129 [======>.......................] - ETA: 4s 35/129 [=======>......................] - ETA: 4s 37/129 [=======>......................] - ETA: 4s 39/129 [========>.....................] - ETA: 4s 41/129 [========>.....................] - ETA: 4s 43/129 [=========>....................] - ETA: 4s 45/129 [=========>....................] - ETA: 3s 47/129 [=========>....................] - ETA: 3s 49/129 [==========>...................] - ETA: 3s 51/129 [==========>...................] - ETA: 3s 53/129 [===========>..................] - ETA: 3s 55/129 [===========>..................] - ETA: 3s 57/129 [============>.................] - ETA: 3s 59/129 [============>.................] - ETA: 3s 61/129 [=============>................] - ETA: 3s 63/129 [=============>................] - ETA: 3s 65/129 [==============>...............] - ETA: 3s 67/129 [==============>...............] - ETA: 2s 69/129 [===============>..............] - ETA: 2s 71/129 [===============>..............] - ETA: 2s 73/129 [===============>..............] - ETA: 2s 75/129 [================>.............] - ETA: 2s 77/129 [================>.............] - ETA: 2s 79/129 [=================>............] - ETA: 2s 81/129 [=================>............] - ETA: 2s 83/129 [==================>...........] - ETA: 2s 85/129 [==================>...........] - ETA: 2s 87/129 [===================>..........] - ETA: 1s 89/129 [===================>..........] - ETA: 1s 91/129 [====================>.........] - ETA: 1s 93/129 [====================>.........] - ETA: 1s 95/129 [=====================>........] - ETA: 1s 97/129 [=====================>........] - ETA: 1s 99/129 [======================>.......] - ETA: 1s 101/129 [======================>.......] - ETA: 1s 103/129 [======================>.......] - ETA: 1s 105/129 [=======================>......] - ETA: 1s 107/129 [=======================>......] - ETA: 1s 109/129 [========================>.....] - ETA: 0s 111/129 [========================>.....] - ETA: 0s 113/129 [=========================>....] - ETA: 0s 115/129 [=========================>....] - ETA: 0s 117/129 [==========================>...] - ETA: 0s 119/129 [==========================>...] - ETA: 0s 121/129 [===========================>..] - ETA: 0s 123/129 [===========================>..] - ETA: 0s 125/129 [============================>.] - ETA: 0s 127/129 [============================>.] - ETA: 0s 129/129 [==============================] - ETA: 0s 129/129 [==============================] - 6s 47ms/step 1/129 [..............................] - ETA: 2s 3/129 [..............................] - ETA: 5s 5/129 [>.............................] - ETA: 5s 7/129 [>.............................] - ETA: 5s 9/129 [=>............................] - ETA: 5s 11/129 [=>............................] - ETA: 5s 13/129 [==>...........................] - ETA: 5s 15/129 [==>...........................] - ETA: 5s 17/129 [==>...........................] - ETA: 5s 19/129 [===>..........................] - ETA: 5s 21/129 [===>..........................] - ETA: 5s 23/129 [====>.........................] - ETA: 5s 25/129 [====>.........................] - ETA: 4s 27/129 [=====>........................] - ETA: 4s 29/129 [=====>........................] - ETA: 4s 31/129 [======>.......................] - ETA: 4s 33/129 [======>.......................] - ETA: 4s 35/129 [=======>......................] - ETA: 4s 37/129 [=======>......................] - ETA: 4s 39/129 [========>.....................] - ETA: 4s 41/129 [========>.....................] - ETA: 4s 43/129 [=========>....................] - ETA: 4s 45/129 [=========>....................] - ETA: 3s 47/129 [=========>....................] - ETA: 3s 49/129 [==========>...................] - ETA: 3s 51/129 [==========>...................] - ETA: 3s 53/129 [===========>..................] - ETA: 3s 55/129 [===========>..................] - ETA: 3s 57/129 [============>.................] - ETA: 3s 59/129 [============>.................] - ETA: 3s 61/129 [=============>................] - ETA: 3s 63/129 [=============>................] - ETA: 3s 65/129 [==============>...............] - ETA: 3s 67/129 [==============>...............] - ETA: 2s 69/129 [===============>..............] - ETA: 2s 71/129 [===============>..............] - ETA: 2s 73/129 [===============>..............] - ETA: 2s 75/129 [================>.............] - ETA: 2s 77/129 [================>.............] - ETA: 2s 79/129 [=================>............] - ETA: 2s 81/129 [=================>............] - ETA: 2s 83/129 [==================>...........] - ETA: 2s 85/129 [==================>...........] - ETA: 2s 87/129 [===================>..........] - ETA: 1s 89/129 [===================>..........] - ETA: 1s 91/129 [====================>.........] - ETA: 1s 93/129 [====================>.........] - ETA: 1s 95/129 [=====================>........] - ETA: 1s 97/129 [=====================>........] - ETA: 1s 99/129 [======================>.......] - ETA: 1s 101/129 [======================>.......] - ETA: 1s 103/129 [======================>.......] - ETA: 1s 105/129 [=======================>......] - ETA: 1s 107/129 [=======================>......] - ETA: 1s 109/129 [========================>.....] - ETA: 0s 111/129 [========================>.....] - ETA: 0s 113/129 [=========================>....] - ETA: 0s 115/129 [=========================>....] - ETA: 0s 117/129 [==========================>...] - ETA: 0s 119/129 [==========================>...] - ETA: 0s 121/129 [===========================>..] - ETA: 0s 123/129 [===========================>..] - ETA: 0s 125/129 [============================>.] - ETA: 0s 127/129 [============================>.] - ETA: 0s 129/129 [==============================] - ETA: 0s 129/129 [==============================] - 6s 47ms/step inserting motif: tn5_4 GCACAGTTCTAGACTGTGCAG 1/129 [..............................] - ETA: 1s 3/129 [..............................] - ETA: 5s 5/129 [>.............................] - ETA: 5s 7/129 [>.............................] - ETA: 5s 9/129 [=>............................] - ETA: 5s 11/129 [=>............................] - ETA: 5s 13/129 [==>...........................] - ETA: 5s 15/129 [==>...........................] - ETA: 5s 17/129 [==>...........................] - ETA: 5s 19/129 [===>..........................] - ETA: 5s 21/129 [===>..........................] - ETA: 5s 23/129 [====>.........................] - ETA: 5s 25/129 [====>.........................] - ETA: 4s 27/129 [=====>........................] - ETA: 4s 29/129 [=====>........................] - ETA: 4s 31/129 [======>.......................] - ETA: 4s 33/129 [======>.......................] - ETA: 4s 35/129 [=======>......................] - ETA: 4s 37/129 [=======>......................] - ETA: 4s 39/129 [========>.....................] - ETA: 4s 41/129 [========>.....................] - ETA: 4s 43/129 [=========>....................] - ETA: 4s 45/129 [=========>....................] - ETA: 3s 47/129 [=========>....................] - ETA: 3s 49/129 [==========>...................] - ETA: 3s 51/129 [==========>...................] - ETA: 3s 53/129 [===========>..................] - ETA: 3s 55/129 [===========>..................] - ETA: 3s 57/129 [============>.................] - ETA: 3s 59/129 [============>.................] - ETA: 3s 61/129 [=============>................] - ETA: 3s 63/129 [=============>................] - ETA: 3s 65/129 [==============>...............] - ETA: 3s 67/129 [==============>...............] - ETA: 2s 69/129 [===============>..............] - ETA: 2s 71/129 [===============>..............] - ETA: 2s 73/129 [===============>..............] - ETA: 2s 75/129 [================>.............] - ETA: 2s 77/129 [================>.............] - ETA: 2s 79/129 [=================>............] - ETA: 2s 81/129 [=================>............] - ETA: 2s 83/129 [==================>...........] - ETA: 2s 85/129 [==================>...........] - ETA: 2s 87/129 [===================>..........] - ETA: 1s 89/129 [===================>..........] - ETA: 1s 91/129 [====================>.........] - ETA: 1s 93/129 [====================>.........] - ETA: 1s 95/129 [=====================>........] - ETA: 1s 97/129 [=====================>........] - ETA: 1s 99/129 [======================>.......] - ETA: 1s 101/129 [======================>.......] - ETA: 1s 103/129 [======================>.......] - ETA: 1s 105/129 [=======================>......] - ETA: 1s 107/129 [=======================>......] - ETA: 1s 109/129 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5s 17/129 [==>...........................] - ETA: 5s 19/129 [===>..........................] - ETA: 5s 21/129 [===>..........................] - ETA: 5s 23/129 [====>.........................] - ETA: 5s 25/129 [====>.........................] - ETA: 4s 27/129 [=====>........................] - ETA: 4s 29/129 [=====>........................] - ETA: 4s 31/129 [======>.......................] - ETA: 4s 33/129 [======>.......................] - ETA: 4s 35/129 [=======>......................] - ETA: 4s 37/129 [=======>......................] - ETA: 4s 39/129 [========>.....................] - ETA: 4s 41/129 [========>.....................] - ETA: 4s 43/129 [=========>....................] - ETA: 4s 45/129 [=========>....................] - ETA: 3s 47/129 [=========>....................] - ETA: 3s 49/129 [==========>...................] - ETA: 3s 51/129 [==========>...................] - ETA: 3s 53/129 [===========>..................] - ETA: 3s 55/129 [===========>..................] - ETA: 3s 57/129 [============>.................] - ETA: 3s 59/129 [============>.................] - ETA: 3s 61/129 [=============>................] - ETA: 3s 63/129 [=============>................] - ETA: 3s 65/129 [==============>...............] - ETA: 3s 67/129 [==============>...............] - ETA: 2s 69/129 [===============>..............] - ETA: 2s 71/129 [===============>..............] - ETA: 2s 73/129 [===============>..............] - ETA: 2s 75/129 [================>.............] - ETA: 2s 77/129 [================>.............] - ETA: 2s 79/129 [=================>............] - ETA: 2s 81/129 [=================>............] - ETA: 2s 83/129 [==================>...........] - ETA: 2s 85/129 [==================>...........] - ETA: 2s 87/129 [===================>..........] - ETA: 1s 89/129 [===================>..........] - ETA: 1s 91/129 [====================>.........] - ETA: 1s 93/129 [====================>.........] - ETA: 1s 95/129 [=====================>........] - ETA: 1s 97/129 [=====================>........] - ETA: 1s 99/129 [======================>.......] - ETA: 1s 101/129 [======================>.......] - ETA: 1s 103/129 [======================>.......] - ETA: 1s 105/129 [=======================>......] - ETA: 1s 107/129 [=======================>......] - ETA: 1s 109/129 [========================>.....] - ETA: 0s 111/129 [========================>.....] - ETA: 0s 113/129 [=========================>....] - ETA: 0s 115/129 [=========================>....] - ETA: 0s 117/129 [==========================>...] - ETA: 0s 119/129 [==========================>...] - ETA: 0s 121/129 [===========================>..] - ETA: 0s 123/129 [===========================>..] - ETA: 0s 125/129 [============================>.] - ETA: 0s 127/129 [============================>.] - ETA: 0s 129/129 [==============================] - ETA: 0s 129/129 [==============================] - 6s 47ms/step inserting motif: tn5_5 CTGCACAGTGTAGAGTTGTGC 1/129 [..............................] - ETA: 2s 3/129 [..............................] - ETA: 5s 5/129 [>.............................] - ETA: 5s 7/129 [>.............................] - ETA: 5s 9/129 [=>............................] - ETA: 5s 11/129 [=>............................] - ETA: 5s 13/129 [==>...........................] - ETA: 5s 15/129 [==>...........................] - ETA: 5s 17/129 [==>...........................] - ETA: 5s 19/129 [===>..........................] - ETA: 5s 21/129 [===>..........................] - ETA: 5s 23/129 [====>.........................] - ETA: 5s 25/129 [====>.........................] - ETA: 4s 27/129 [=====>........................] - ETA: 4s 29/129 [=====>........................] - ETA: 4s 31/129 [======>.......................] - ETA: 4s 33/129 [======>.......................] - ETA: 4s 35/129 [=======>......................] - ETA: 4s 37/129 [=======>......................] - ETA: 4s 39/129 [========>.....................] - ETA: 4s 41/129 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0s 121/129 [===========================>..] - ETA: 0s 123/129 [===========================>..] - ETA: 0s 125/129 [============================>.] - ETA: 0s 127/129 [============================>.] - ETA: 0s 129/129 [==============================] - ETA: 0s 129/129 [==============================] - 6s 47ms/step 1/129 [..............................] - ETA: 1s 3/129 [..............................] - ETA: 5s 5/129 [>.............................] - ETA: 5s 7/129 [>.............................] - ETA: 5s 9/129 [=>............................] - ETA: 5s 11/129 [=>............................] - ETA: 5s 13/129 [==>...........................] - ETA: 5s 15/129 [==>...........................] - ETA: 5s 17/129 [==>...........................] - ETA: 5s 19/129 [===>..........................] - ETA: 5s 21/129 [===>..........................] - ETA: 5s 23/129 [====>.........................] - ETA: 5s 25/129 [====>.........................] - ETA: 4s 27/129 [=====>........................] - ETA: 4s 29/129 [=====>........................] - ETA: 4s 31/129 [======>.......................] - ETA: 4s 33/129 [======>.......................] - ETA: 4s 35/129 [=======>......................] - ETA: 4s 37/129 [=======>......................] - ETA: 4s 39/129 [========>.....................] - ETA: 4s 41/129 [========>.....................] - ETA: 4s 43/129 [=========>....................] - ETA: 4s 45/129 [=========>....................] - ETA: 3s 47/129 [=========>....................] - ETA: 3s 49/129 [==========>...................] - ETA: 3s 51/129 [==========>...................] - ETA: 3s 53/129 [===========>..................] - ETA: 3s 55/129 [===========>..................] - ETA: 3s 57/129 [============>.................] - ETA: 3s 59/129 [============>.................] - ETA: 3s 61/129 [=============>................] - ETA: 3s 63/129 [=============>................] - ETA: 3s 65/129 [==============>...............] - ETA: 3s 67/129 [==============>...............] - ETA: 2s 69/129 [===============>..............] - ETA: 2s 71/129 [===============>..............] - ETA: 2s 73/129 [===============>..............] - ETA: 2s 75/129 [================>.............] - ETA: 2s 77/129 [================>.............] - ETA: 2s 79/129 [=================>............] - ETA: 2s 81/129 [=================>............] - ETA: 2s 83/129 [==================>...........] - ETA: 2s 85/129 [==================>...........] - ETA: 2s 87/129 [===================>..........] - ETA: 1s 89/129 [===================>..........] - ETA: 1s 91/129 [====================>.........] - ETA: 1s 93/129 [====================>.........] - ETA: 1s 95/129 [=====================>........] - ETA: 1s 97/129 [=====================>........] - ETA: 1s 99/129 [======================>.......] - ETA: 1s 101/129 [======================>.......] - ETA: 1s 103/129 [======================>.......] - ETA: 1s 105/129 [=======================>......] - ETA: 1s 107/129 [=======================>......] - ETA: 1s 109/129 [========================>.....] - ETA: 0s 111/129 [========================>.....] - ETA: 0s 113/129 [=========================>....] - ETA: 0s 115/129 [=========================>....] - ETA: 0s 117/129 [==========================>...] - ETA: 0s 119/129 [==========================>...] - ETA: 0s 121/129 [===========================>..] - ETA: 0s 123/129 [===========================>..] - ETA: 0s 125/129 [============================>.] - ETA: 0s 127/129 [============================>.] - ETA: 0s 129/129 [==============================] - ETA: 0s 129/129 [==============================] - 6s 47ms/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