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: 10425 evaluating hyperparameters on the following chromosomes ['chr1', 'chr2', 'chr3', 'chr5', 'chr6', 'chr8', 'chr9', 'chr10', 'chr13', 'chr14', 'chr16', 'chr17', 'chr18', 'chr19', 'chr20', 'chr21', 'chrX', 'chr22', 'chr7'] Number of peaks input: 12981 Number of peaks filtered because the input/output is on the edge: 0 Number of peaks being used: 12981 Number of peaks input: 2812 Number of peaks filtered because the input/output is on the edge: 0 Number of peaks being used: 2812 Number of non peaks input: 25962 Number of non peaks filtered because the input/output is on the edge: 0 Number of non peaks being used: 25962 Number of non peaks input: 2812 Number of non peaks filtered because the input/output is on the edge: 0 Number of non peaks being used: 2812 Number of peaks after removing outliers: 12979 Number of nonpeaks after removing outliers: 4161 WARNING: you are training on low-read depth data got the model Model: "functional_1" __________________________________________________________________________________________________ Layer (type) Output Shape Param # Connected to ================================================================================================== sequence (InputLayer) [(None, 2114, 4)] 0 [] bpnet_1st_conv (Conv1D) (None, 2094, 128) 10880 ['sequence[0][0]'] bpnet_1conv (Conv1D) (None, 2090, 128) 49280 ['bpnet_1st_conv[0][0]'] bpnet_1crop (Cropping1D) (None, 2090, 128) 0 ['bpnet_1st_conv[0][0]'] add (Add) (None, 2090, 128) 0 ['bpnet_1conv[0][0]', 'bpnet_1crop[0][0]'] bpnet_2conv (Conv1D) (None, 2082, 128) 49280 ['add[0][0]'] bpnet_2crop (Cropping1D) (None, 2082, 128) 0 ['add[0][0]'] add_1 (Add) (None, 2082, 128) 0 ['bpnet_2conv[0][0]', 'bpnet_2crop[0][0]'] bpnet_3conv (Conv1D) (None, 2066, 128) 49280 ['add_1[0][0]'] bpnet_3crop (Cropping1D) (None, 2066, 128) 0 ['add_1[0][0]'] add_2 (Add) (None, 2066, 128) 0 ['bpnet_3conv[0][0]', 'bpnet_3crop[0][0]'] bpnet_4conv (Conv1D) (None, 2034, 128) 49280 ['add_2[0][0]'] bpnet_4crop (Cropping1D) (None, 2034, 128) 0 ['add_2[0][0]'] add_3 (Add) (None, 2034, 128) 0 ['bpnet_4conv[0][0]', 'bpnet_4crop[0][0]'] prof_out_precrop (Conv1D) (None, 1960, 1) 9601 ['add_3[0][0]'] logits_profile_predictions_pre (None, 1000, 1) 0 ['prof_out_precrop[0][0]'] flatten (Cropping1D) gap (GlobalAveragePooling1D) (None, 128) 0 ['add_3[0][0]'] logits_profile_predictions (Fl (None, 1000) 0 ['logits_profile_predictions_pref atten) latten[0][0]'] logcount_predictions (Dense) (None, 1) 129 ['gap[0][0]'] ================================================================================================== Total params: 217,730 Trainable params: 217,730 Non-trainable params: 0 __________________________________________________________________________________________________ Predicting within adjust counts 1/131 [..............................] - ETA: 3:16 6/131 [>.............................] - ETA: 1s  11/131 [=>............................] - ETA: 1s 16/131 [==>...........................] - ETA: 1s 21/131 [===>..........................] - ETA: 1s 25/131 [====>.........................] - ETA: 1s 30/131 [=====>........................] - ETA: 1s 35/131 [=======>......................] - ETA: 1s 40/131 [========>.....................] - ETA: 1s 45/131 [=========>....................] - ETA: 1s 50/131 [==========>...................] - ETA: 0s 54/131 [===========>..................] - ETA: 0s 59/131 [============>.................] - ETA: 0s 64/131 [=============>................] - ETA: 0s 69/131 [==============>...............] - ETA: 0s 74/131 [===============>..............] - ETA: 0s 79/131 [=================>............] - ETA: 0s 83/131 [==================>...........] - ETA: 0s 87/131 [==================>...........] - ETA: 0s 91/131 [===================>..........] - ETA: 0s 96/131 [====================>.........] - ETA: 0s 101/131 [======================>.......] - ETA: 0s 106/131 [=======================>......] - ETA: 0s 111/131 [========================>.....] - ETA: 0s 115/131 [=========================>....] - ETA: 0s 119/131 [==========================>...] - ETA: 0s 123/131 [===========================>..] - ETA: 0s 127/131 [============================>.] - ETA: 0s 131/131 [==============================] - ETA: 0s 131/131 [==============================] - 3s 13ms/step got the model loading peaks... got split:test for bed regions:(2812, 10) 0/44 Bias model pearsonr performance in peaks is: -0.06 {'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.adipocyte.H/fold_2/models/bias_model_scaled.h5', 'inputlen': '2114', 'outputlen': '1000', 'max_jitter': '500', 'chr_fold_path': '/oak/stanford/groups/akundaje/soumyak/refs/hg38/splits/fold_2.json', 'negative_sampling_ratio': '0.1'} got the model loading peaks... got split:train for bed regions:(11792, 10) loading nonpeaks... got split:train for bed regions:(3777, 10) loading peaks... got split:valid for bed regions:(1187, 10) loading nonpeaks... got split:valid for bed regions:(384, 10) Epoch 1/50 1/203 [..............................] - ETA: 20:52 - loss: 25.6878 - logits_profile_predictions_loss: 25.2320 - logcount_predictions_loss: 0.4557 2/203 [..............................] - ETA: 2:27 - loss: 159.7773 - logits_profile_predictions_loss: 24.6194 - logcount_predictions_loss: 135.1579 3/203 [..............................] - ETA: 2:26 - loss: 115.1804 - logits_profile_predictions_loss: 24.8864 - logcount_predictions_loss: 90.2940  4/203 [..............................] - ETA: 2:25 - loss: 92.3870 - logits_profile_predictions_loss: 24.5503 - logcount_predictions_loss: 67.8366  5/203 [..............................] - ETA: 2:24 - loss: 79.0977 - logits_profile_predictions_loss: 24.7257 - logcount_predictions_loss: 54.3720 6/203 [..............................] - ETA: 2:23 - loss: 70.0405 - logits_profile_predictions_loss: 24.6418 - logcount_predictions_loss: 45.3987 7/203 [>.............................] - ETA: 2:22 - loss: 63.4088 - logits_profile_predictions_loss: 24.4279 - logcount_predictions_loss: 38.9809 8/203 [>.............................] - ETA: 2:21 - loss: 58.9046 - logits_profile_predictions_loss: 24.7141 - logcount_predictions_loss: 34.1905 9/203 [>.............................] - ETA: 2:20 - loss: 54.8513 - logits_profile_predictions_loss: 24.4129 - logcount_predictions_loss: 30.4384 10/203 [>.............................] - ETA: 2:19 - loss: 51.8165 - logits_profile_predictions_loss: 24.3674 - logcount_predictions_loss: 27.4490 11/203 [>.............................] - ETA: 2:19 - loss: 49.4414 - logits_profile_predictions_loss: 24.4292 - logcount_predictions_loss: 25.0122 12/203 [>.............................] - ETA: 2:18 - loss: 47.5780 - logits_profile_predictions_loss: 24.5930 - logcount_predictions_loss: 22.9850 13/203 [>.............................] - ETA: 2:17 - loss: 45.9614 - logits_profile_predictions_loss: 24.6846 - logcount_predictions_loss: 21.2768 14/203 [=>............................] - ETA: 2:16 - loss: 44.7072 - logits_profile_predictions_loss: 24.8989 - logcount_predictions_loss: 19.8083 15/203 [=>............................] - ETA: 2:16 - loss: 43.5153 - logits_profile_predictions_loss: 24.9779 - logcount_predictions_loss: 18.5373 16/203 [=>............................] - ETA: 2:15 - loss: 42.3594 - logits_profile_predictions_loss: 24.9415 - logcount_predictions_loss: 17.4178 17/203 [=>............................] - ETA: 2:14 - loss: 41.5134 - logits_profile_predictions_loss: 25.0800 - logcount_predictions_loss: 16.4334 18/203 [=>............................] - ETA: 2:13 - loss: 40.7562 - logits_profile_predictions_loss: 25.1938 - logcount_predictions_loss: 15.5624 19/203 [=>............................] - ETA: 2:13 - loss: 39.8216 - logits_profile_predictions_loss: 25.0528 - logcount_predictions_loss: 14.7688 20/203 [=>............................] - ETA: 2:12 - loss: 39.1261 - logits_profile_predictions_loss: 25.0656 - logcount_predictions_loss: 14.0605 21/203 [==>...........................] - ETA: 2:11 - loss: 38.3415 - logits_profile_predictions_loss: 24.9275 - logcount_predictions_loss: 13.4140 22/203 [==>...........................] - ETA: 2:10 - loss: 37.8049 - logits_profile_predictions_loss: 24.9732 - logcount_predictions_loss: 12.8317 23/203 [==>...........................] - ETA: 2:10 - loss: 37.3652 - logits_profile_predictions_loss: 25.0603 - logcount_predictions_loss: 12.3049 24/203 [==>...........................] - ETA: 2:09 - loss: 36.9469 - logits_profile_predictions_loss: 25.1228 - logcount_predictions_loss: 11.8241 25/203 [==>...........................] - ETA: 2:08 - loss: 36.5048 - logits_profile_predictions_loss: 25.1322 - logcount_predictions_loss: 11.3727 26/203 [==>...........................] - ETA: 2:08 - loss: 36.1381 - logits_profile_predictions_loss: 25.1778 - logcount_predictions_loss: 10.9603 27/203 [==>...........................] - ETA: 2:07 - loss: 35.8713 - logits_profile_predictions_loss: 25.2854 - logcount_predictions_loss: 10.5858 28/203 [===>..........................] - ETA: 2:06 - loss: 35.4319 - logits_profile_predictions_loss: 25.2044 - logcount_predictions_loss: 10.2276 29/203 [===>..........................] - ETA: 2:05 - loss: 35.1324 - logits_profile_predictions_loss: 25.2363 - logcount_predictions_loss: 9.8961  30/203 [===>..........................] - ETA: 2:05 - loss: 34.7969 - logits_profile_predictions_loss: 25.2103 - logcount_predictions_loss: 9.5865 31/203 [===>..........................] - ETA: 2:04 - loss: 34.6416 - logits_profile_predictions_loss: 25.3353 - logcount_predictions_loss: 9.3063 32/203 [===>..........................] - ETA: 2:03 - loss: 34.3737 - logits_profile_predictions_loss: 25.3381 - logcount_predictions_loss: 9.0356 33/203 [===>..........................] - ETA: 2:03 - loss: 34.0930 - logits_profile_predictions_loss: 25.3148 - logcount_predictions_loss: 8.7782 34/203 [====>.........................] - ETA: 2:02 - loss: 33.7962 - logits_profile_predictions_loss: 25.2608 - logcount_predictions_loss: 8.5353 35/203 [====>.........................] - ETA: 2:01 - loss: 33.6298 - logits_profile_predictions_loss: 25.3180 - logcount_predictions_loss: 8.3117 36/203 [====>.........................] - ETA: 2:00 - loss: 33.4561 - logits_profile_predictions_loss: 25.3544 - logcount_predictions_loss: 8.1017 37/203 [====>.........................] - ETA: 2:00 - loss: 33.2936 - logits_profile_predictions_loss: 25.3922 - logcount_predictions_loss: 7.9014 38/203 [====>.........................] - ETA: 1:59 - loss: 33.1667 - logits_profile_predictions_loss: 25.4528 - logcount_predictions_loss: 7.7139 39/203 [====>.........................] - ETA: 1:58 - loss: 33.0079 - logits_profile_predictions_loss: 25.4751 - logcount_predictions_loss: 7.5328 40/203 [====>.........................] - ETA: 1:57 - loss: 32.7929 - logits_profile_predictions_loss: 25.4347 - logcount_predictions_loss: 7.3582 41/203 [=====>........................] - ETA: 1:57 - loss: 32.6381 - logits_profile_predictions_loss: 25.4435 - logcount_predictions_loss: 7.1946 42/203 [=====>........................] - ETA: 1:56 - loss: 32.4657 - logits_profile_predictions_loss: 25.4279 - logcount_predictions_loss: 7.0379 43/203 [=====>........................] - ETA: 1:55 - loss: 32.2943 - logits_profile_predictions_loss: 25.4072 - logcount_predictions_loss: 6.8871 44/203 [=====>........................] - ETA: 1:55 - loss: 32.1327 - logits_profile_predictions_loss: 25.3878 - logcount_predictions_loss: 6.7449 45/203 [=====>........................] - ETA: 1:54 - loss: 32.0095 - logits_profile_predictions_loss: 25.4000 - logcount_predictions_loss: 6.6095 46/203 [=====>........................] - ETA: 1:53 - loss: 31.8965 - logits_profile_predictions_loss: 25.4167 - logcount_predictions_loss: 6.4798 47/203 [=====>........................] - ETA: 1:52 - loss: 31.7481 - logits_profile_predictions_loss: 25.3944 - logcount_predictions_loss: 6.3537 48/203 [======>.......................] - ETA: 1:52 - loss: 31.6270 - logits_profile_predictions_loss: 25.3926 - logcount_predictions_loss: 6.2344 49/203 [======>.......................] - ETA: 1:51 - loss: 31.5614 - logits_profile_predictions_loss: 25.4387 - logcount_predictions_loss: 6.1227 50/203 [======>.......................] - ETA: 1:50 - loss: 31.5036 - logits_profile_predictions_loss: 25.4887 - logcount_predictions_loss: 6.0149 51/203 [======>.......................] - ETA: 1:50 - loss: 31.3510 - logits_profile_predictions_loss: 25.4435 - logcount_predictions_loss: 5.9076 52/203 [======>.......................] - ETA: 1:49 - loss: 31.2564 - logits_profile_predictions_loss: 25.4493 - logcount_predictions_loss: 5.8071 53/203 [======>.......................] - ETA: 1:48 - loss: 31.1348 - logits_profile_predictions_loss: 25.4264 - logcount_predictions_loss: 5.7084 54/203 [======>.......................] - ETA: 1:48 - loss: 31.0155 - logits_profile_predictions_loss: 25.4034 - logcount_predictions_loss: 5.6122 55/203 [=======>......................] - ETA: 1:47 - loss: 30.9121 - logits_profile_predictions_loss: 25.3920 - logcount_predictions_loss: 5.5200 56/203 [=======>......................] - ETA: 1:46 - loss: 30.8040 - logits_profile_predictions_loss: 25.3722 - logcount_predictions_loss: 5.4317 57/203 [=======>......................] - ETA: 1:45 - loss: 30.7239 - logits_profile_predictions_loss: 25.3763 - logcount_predictions_loss: 5.3476 58/203 [=======>......................] - ETA: 1:45 - loss: 30.6813 - logits_profile_predictions_loss: 25.4124 - logcount_predictions_loss: 5.2689 59/203 [=======>......................] - ETA: 1:44 - loss: 30.6389 - logits_profile_predictions_loss: 25.4447 - logcount_predictions_loss: 5.1941 60/203 [=======>......................] - ETA: 1:43 - loss: 30.5978 - logits_profile_predictions_loss: 25.4775 - logcount_predictions_loss: 5.1203 61/203 [========>.....................] - ETA: 1:43 - loss: 30.5489 - logits_profile_predictions_loss: 25.5007 - logcount_predictions_loss: 5.0481 62/203 [========>.....................] - ETA: 1:42 - loss: 30.4882 - logits_profile_predictions_loss: 25.5095 - logcount_predictions_loss: 4.9786 63/203 [========>.....................] - ETA: 1:41 - loss: 30.4142 - logits_profile_predictions_loss: 25.5048 - logcount_predictions_loss: 4.9095 64/203 [========>.....................] - ETA: 1:41 - loss: 30.3091 - logits_profile_predictions_loss: 25.4688 - logcount_predictions_loss: 4.8402 65/203 [========>.....................] - ETA: 1:40 - loss: 30.2112 - logits_profile_predictions_loss: 25.4374 - logcount_predictions_loss: 4.7738 66/203 [========>.....................] - ETA: 1:39 - loss: 30.1293 - logits_profile_predictions_loss: 25.4195 - logcount_predictions_loss: 4.7098 67/203 [========>.....................] - ETA: 1:38 - loss: 30.1160 - logits_profile_predictions_loss: 25.4621 - logcount_predictions_loss: 4.6539 68/203 [=========>....................] - ETA: 1:38 - loss: 30.0958 - logits_profile_predictions_loss: 25.4978 - logcount_predictions_loss: 4.5981 69/203 [=========>....................] - ETA: 1:37 - loss: 30.0645 - logits_profile_predictions_loss: 25.5225 - logcount_predictions_loss: 4.5420 70/203 [=========>....................] - ETA: 1:36 - loss: 30.0355 - logits_profile_predictions_loss: 25.5472 - logcount_predictions_loss: 4.4882 71/203 [=========>....................] - ETA: 1:36 - loss: 29.9609 - logits_profile_predictions_loss: 25.5274 - logcount_predictions_loss: 4.4335 72/203 [=========>....................] - ETA: 1:35 - loss: 29.9267 - logits_profile_predictions_loss: 25.5444 - logcount_predictions_loss: 4.3823 73/203 [=========>....................] - ETA: 1:34 - loss: 29.8694 - logits_profile_predictions_loss: 25.5389 - logcount_predictions_loss: 4.3305 74/203 [=========>....................] - ETA: 1:33 - loss: 29.8237 - logits_profile_predictions_loss: 25.5425 - logcount_predictions_loss: 4.2812 75/203 [==========>...................] - ETA: 1:33 - loss: 29.7765 - logits_profile_predictions_loss: 25.5433 - logcount_predictions_loss: 4.2332 76/203 [==========>...................] - ETA: 1:32 - loss: 29.7627 - logits_profile_predictions_loss: 25.5730 - logcount_predictions_loss: 4.1897 77/203 [==========>...................] - ETA: 1:31 - loss: 29.7136 - logits_profile_predictions_loss: 25.5707 - logcount_predictions_loss: 4.1428 78/203 [==========>...................] - ETA: 1:31 - loss: 29.6512 - logits_profile_predictions_loss: 25.5544 - logcount_predictions_loss: 4.0967 79/203 [==========>...................] - ETA: 1:30 - loss: 29.6058 - logits_profile_predictions_loss: 25.5522 - logcount_predictions_loss: 4.0536 80/203 [==========>...................] - ETA: 1:29 - loss: 29.5529 - logits_profile_predictions_loss: 25.5425 - logcount_predictions_loss: 4.0104 81/203 [==========>...................] - ETA: 1:29 - loss: 29.5098 - logits_profile_predictions_loss: 25.5412 - logcount_predictions_loss: 3.9687 82/203 [===========>..................] - ETA: 1:28 - loss: 29.4766 - logits_profile_predictions_loss: 25.5482 - logcount_predictions_loss: 3.9285 83/203 [===========>..................] - ETA: 1:27 - loss: 29.4452 - logits_profile_predictions_loss: 25.5551 - logcount_predictions_loss: 3.8901 84/203 [===========>..................] - ETA: 1:26 - loss: 29.4013 - logits_profile_predictions_loss: 25.5507 - logcount_predictions_loss: 3.8506 85/203 [===========>..................] - ETA: 1:26 - loss: 29.3856 - logits_profile_predictions_loss: 25.5715 - logcount_predictions_loss: 3.8141 86/203 [===========>..................] - ETA: 1:25 - loss: 29.3336 - logits_profile_predictions_loss: 25.5566 - logcount_predictions_loss: 3.7770 87/203 [===========>..................] - ETA: 1:24 - loss: 29.2977 - logits_profile_predictions_loss: 25.5568 - logcount_predictions_loss: 3.7409 88/203 [============>.................] - ETA: 1:23 - loss: 29.2470 - logits_profile_predictions_loss: 25.5420 - logcount_predictions_loss: 3.7050 89/203 [============>.................] - ETA: 1:23 - loss: 29.2332 - logits_profile_predictions_loss: 25.5620 - logcount_predictions_loss: 3.6712 90/203 [============>.................] - ETA: 1:22 - loss: 29.2129 - logits_profile_predictions_loss: 25.5737 - logcount_predictions_loss: 3.6392 91/203 [============>.................] - ETA: 1:21 - loss: 29.1511 - logits_profile_predictions_loss: 25.5469 - logcount_predictions_loss: 3.6042 92/203 [============>.................] - ETA: 1:21 - loss: 29.1222 - logits_profile_predictions_loss: 25.5508 - logcount_predictions_loss: 3.5713 93/203 [============>.................] - ETA: 1:20 - loss: 29.0800 - logits_profile_predictions_loss: 25.5401 - logcount_predictions_loss: 3.5399 94/203 [============>.................] - ETA: 1:19 - loss: 29.0816 - logits_profile_predictions_loss: 25.5704 - logcount_predictions_loss: 3.5111 95/203 [=============>................] - ETA: 1:18 - loss: 29.0382 - logits_profile_predictions_loss: 25.5581 - logcount_predictions_loss: 3.4801 96/203 [=============>................] - ETA: 1:18 - loss: 29.0153 - logits_profile_predictions_loss: 25.5641 - logcount_predictions_loss: 3.4512 97/203 [=============>................] - ETA: 1:17 - loss: 28.9602 - logits_profile_predictions_loss: 25.5388 - logcount_predictions_loss: 3.4214 98/203 [=============>................] - ETA: 1:16 - loss: 28.9167 - logits_profile_predictions_loss: 25.5244 - logcount_predictions_loss: 3.3923 99/203 [=============>................] - ETA: 1:15 - loss: 28.8953 - logits_profile_predictions_loss: 25.5297 - logcount_predictions_loss: 3.3655 100/203 [=============>................] - ETA: 1:15 - loss: 28.8543 - logits_profile_predictions_loss: 25.5166 - logcount_predictions_loss: 3.3377 101/203 [=============>................] - ETA: 1:14 - loss: 28.7996 - logits_profile_predictions_loss: 25.4907 - logcount_predictions_loss: 3.3089 102/203 [==============>...............] - ETA: 1:13 - loss: 28.8065 - logits_profile_predictions_loss: 25.5221 - logcount_predictions_loss: 3.2844 103/203 [==============>...............] - ETA: 1:13 - loss: 28.7684 - logits_profile_predictions_loss: 25.5102 - logcount_predictions_loss: 3.2582 104/203 [==============>...............] - ETA: 1:12 - loss: 28.7417 - logits_profile_predictions_loss: 25.5092 - logcount_predictions_loss: 3.2325 105/203 [==============>...............] - ETA: 1:11 - loss: 28.7139 - logits_profile_predictions_loss: 25.5058 - logcount_predictions_loss: 3.2081 106/203 [==============>...............] - ETA: 1:10 - loss: 28.6883 - logits_profile_predictions_loss: 25.5043 - logcount_predictions_loss: 3.1840 107/203 [==============>...............] - ETA: 1:10 - loss: 28.6670 - logits_profile_predictions_loss: 25.5072 - logcount_predictions_loss: 3.1599 108/203 [==============>...............] - ETA: 1:09 - loss: 28.6401 - logits_profile_predictions_loss: 25.5037 - logcount_predictions_loss: 3.1364 109/203 [===============>..............] - ETA: 1:08 - loss: 28.6162 - logits_profile_predictions_loss: 25.5033 - logcount_predictions_loss: 3.1129 110/203 [===============>..............] - ETA: 1:08 - loss: 28.5541 - logits_profile_predictions_loss: 25.4652 - logcount_predictions_loss: 3.0889 111/203 [===============>..............] - ETA: 1:07 - loss: 28.5426 - logits_profile_predictions_loss: 25.4745 - logcount_predictions_loss: 3.0681 112/203 [===============>..............] - ETA: 1:06 - loss: 28.5308 - logits_profile_predictions_loss: 25.4838 - logcount_predictions_loss: 3.0471 113/203 [===============>..............] - ETA: 1:05 - loss: 28.4963 - logits_profile_predictions_loss: 25.4704 - logcount_predictions_loss: 3.0259 114/203 [===============>..............] - ETA: 1:05 - loss: 28.5138 - logits_profile_predictions_loss: 25.5073 - logcount_predictions_loss: 3.0065 115/203 [===============>..............] - ETA: 1:04 - loss: 28.4819 - logits_profile_predictions_loss: 25.4966 - logcount_predictions_loss: 2.9853 116/203 [================>.............] - ETA: 1:03 - loss: 28.4633 - logits_profile_predictions_loss: 25.4979 - logcount_predictions_loss: 2.9654 117/203 [================>.............] - ETA: 1:02 - loss: 28.4574 - logits_profile_predictions_loss: 25.5110 - logcount_predictions_loss: 2.9464 118/203 [================>.............] - ETA: 1:02 - loss: 28.4430 - logits_profile_predictions_loss: 25.5166 - logcount_predictions_loss: 2.9263 119/203 [================>.............] - ETA: 1:01 - loss: 28.4187 - logits_profile_predictions_loss: 25.5118 - logcount_predictions_loss: 2.9069 120/203 [================>.............] - ETA: 1:00 - loss: 28.4045 - logits_profile_predictions_loss: 25.5163 - logcount_predictions_loss: 2.8881 121/203 [================>.............] - ETA: 1:00 - loss: 28.3622 - logits_profile_predictions_loss: 25.4933 - logcount_predictions_loss: 2.8688 122/203 [=================>............] - ETA: 59s - loss: 28.3379 - logits_profile_predictions_loss: 25.4881 - logcount_predictions_loss: 2.8498  123/203 [=================>............] - ETA: 58s - loss: 28.3194 - logits_profile_predictions_loss: 25.4874 - logcount_predictions_loss: 2.8320 124/203 [=================>............] - ETA: 57s - loss: 28.3019 - logits_profile_predictions_loss: 25.4873 - logcount_predictions_loss: 2.8146 125/203 [=================>............] - ETA: 57s - loss: 28.2652 - logits_profile_predictions_loss: 25.4691 - logcount_predictions_loss: 2.7961 126/203 [=================>............] - ETA: 56s - loss: 28.2594 - logits_profile_predictions_loss: 25.4800 - logcount_predictions_loss: 2.7794 127/203 [=================>............] - ETA: 55s - loss: 28.2294 - logits_profile_predictions_loss: 25.4672 - logcount_predictions_loss: 2.7623 128/203 [=================>............] - ETA: 55s - loss: 28.1916 - logits_profile_predictions_loss: 25.4468 - logcount_predictions_loss: 2.7448 129/203 [==================>...........] - ETA: 54s - loss: 28.1733 - logits_profile_predictions_loss: 25.4447 - logcount_predictions_loss: 2.7286 130/203 [==================>...........] - ETA: 53s - loss: 28.1530 - logits_profile_predictions_loss: 25.4408 - 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[=====================>........] - ETA: 38s - loss: 27.8430 - logits_profile_predictions_loss: 25.4158 - logcount_predictions_loss: 2.4271 152/203 [=====================>........] - ETA: 38s - loss: 27.8333 - logits_profile_predictions_loss: 25.4177 - logcount_predictions_loss: 2.4156 153/203 [=====================>........] - ETA: 37s - loss: 27.8272 - logits_profile_predictions_loss: 25.4233 - logcount_predictions_loss: 2.4038 154/203 [=====================>........] - ETA: 36s - loss: 27.8069 - logits_profile_predictions_loss: 25.4145 - logcount_predictions_loss: 2.3923 155/203 [=====================>........] - ETA: 35s - loss: 27.7867 - logits_profile_predictions_loss: 25.4063 - logcount_predictions_loss: 2.3804 156/203 [======================>.......] - ETA: 35s - loss: 27.7659 - logits_profile_predictions_loss: 25.3973 - logcount_predictions_loss: 2.3686 157/203 [======================>.......] - ETA: 34s - loss: 27.7542 - logits_profile_predictions_loss: 25.3966 - 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[=========================>....] - ETA: 18s - loss: 27.5459 - logits_profile_predictions_loss: 25.3902 - logcount_predictions_loss: 2.1557 179/203 [=========================>....] - ETA: 18s - loss: 27.5197 - logits_profile_predictions_loss: 25.3734 - logcount_predictions_loss: 2.1463 180/203 [=========================>....] - ETA: 17s - loss: 27.4995 - logits_profile_predictions_loss: 25.3620 - logcount_predictions_loss: 2.1375 181/203 [=========================>....] - ETA: 16s - loss: 27.4741 - logits_profile_predictions_loss: 25.3456 - logcount_predictions_loss: 2.1284 182/203 [=========================>....] - ETA: 16s - loss: 27.4630 - logits_profile_predictions_loss: 25.3431 - logcount_predictions_loss: 2.1199 183/203 [==========================>...] - ETA: 15s - loss: 27.4488 - logits_profile_predictions_loss: 25.3377 - logcount_predictions_loss: 2.1110 184/203 [==========================>...] - ETA: 14s - loss: 27.4256 - logits_profile_predictions_loss: 25.3237 - 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3s - loss: 27.3369 - logits_profile_predictions_loss: 25.3370 - logcount_predictions_loss: 1.9999 199/203 [============================>.] - ETA: 3s - loss: 27.3258 - logits_profile_predictions_loss: 25.3332 - logcount_predictions_loss: 1.9927 200/203 [============================>.] - ETA: 2s - loss: 27.3218 - logits_profile_predictions_loss: 25.3358 - logcount_predictions_loss: 1.9860 201/203 [============================>.] - ETA: 1s - loss: 27.3219 - logits_profile_predictions_loss: 25.3427 - logcount_predictions_loss: 1.9792 202/203 [============================>.] - ETA: 0s - loss: 27.3211 - logits_profile_predictions_loss: 25.3480 - logcount_predictions_loss: 1.9731 203/203 [==============================] - ETA: 0s - loss: 27.3070 - logits_profile_predictions_loss: 25.3409 - logcount_predictions_loss: 1.9662 Epoch 1: val_loss improved from inf to 28.08542, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.adipocyte.H/fold_2/models/chrombpnet.h5  203/203 [==============================] - 171s 817ms/step - loss: 27.3070 - logits_profile_predictions_loss: 25.3409 - logcount_predictions_loss: 1.9662 - val_loss: 28.0854 - val_logits_profile_predictions_loss: 27.3865 - val_logcount_predictions_loss: 0.6990 Epoch 2/50 1/203 [..............................] - ETA: 2:25 - loss: 25.0807 - logits_profile_predictions_loss: 24.4825 - logcount_predictions_loss: 0.5981 2/203 [..............................] - ETA: 2:22 - loss: 25.2518 - logits_profile_predictions_loss: 24.6707 - logcount_predictions_loss: 0.5811 3/203 [..............................] - ETA: 2:21 - loss: 24.4487 - logits_profile_predictions_loss: 23.8875 - logcount_predictions_loss: 0.5612 4/203 [..............................] - ETA: 2:20 - loss: 24.2613 - logits_profile_predictions_loss: 23.7133 - logcount_predictions_loss: 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[===>..........................] - ETA: 2:01 - loss: 25.5997 - logits_profile_predictions_loss: 24.9757 - logcount_predictions_loss: 0.6240 33/203 [===>..........................] - ETA: 2:01 - loss: 25.5252 - logits_profile_predictions_loss: 24.9050 - logcount_predictions_loss: 0.6202 34/203 [====>.........................] - ETA: 2:00 - loss: 25.6168 - logits_profile_predictions_loss: 24.9927 - logcount_predictions_loss: 0.6241 35/203 [====>.........................] - ETA: 1:59 - loss: 25.5775 - logits_profile_predictions_loss: 24.9541 - logcount_predictions_loss: 0.6235 36/203 [====>.........................] - ETA: 1:58 - loss: 25.5105 - logits_profile_predictions_loss: 24.8888 - logcount_predictions_loss: 0.6217 37/203 [====>.........................] - ETA: 1:58 - loss: 25.4935 - logits_profile_predictions_loss: 24.8727 - logcount_predictions_loss: 0.6208 38/203 [====>.........................] - ETA: 1:57 - loss: 25.4359 - logits_profile_predictions_loss: 24.8174 - 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[==============>...............] - ETA: 1:10 - loss: 25.6917 - logits_profile_predictions_loss: 25.0564 - logcount_predictions_loss: 0.6354 107/203 [==============>...............] - ETA: 1:10 - loss: 25.7098 - logits_profile_predictions_loss: 25.0737 - logcount_predictions_loss: 0.6361 108/203 [==============>...............] - ETA: 1:09 - loss: 25.7042 - logits_profile_predictions_loss: 25.0688 - logcount_predictions_loss: 0.6353 109/203 [===============>..............] - ETA: 1:08 - loss: 25.7292 - logits_profile_predictions_loss: 25.0930 - logcount_predictions_loss: 0.6362 110/203 [===============>..............] - ETA: 1:07 - loss: 25.7233 - logits_profile_predictions_loss: 25.0873 - logcount_predictions_loss: 0.6360 111/203 [===============>..............] - ETA: 1:07 - loss: 25.7079 - logits_profile_predictions_loss: 25.0728 - logcount_predictions_loss: 0.6351 112/203 [===============>..............] - ETA: 1:06 - loss: 25.7069 - logits_profile_predictions_loss: 25.0714 - 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[=================>............] - ETA: 56s - loss: 25.6896 - logits_profile_predictions_loss: 25.0542 - logcount_predictions_loss: 0.6354 127/203 [=================>............] - ETA: 55s - loss: 25.6909 - logits_profile_predictions_loss: 25.0552 - logcount_predictions_loss: 0.6357 128/203 [=================>............] - ETA: 54s - loss: 25.6940 - logits_profile_predictions_loss: 25.0583 - logcount_predictions_loss: 0.6357 129/203 [==================>...........] - ETA: 54s - loss: 25.7023 - logits_profile_predictions_loss: 25.0656 - logcount_predictions_loss: 0.6367 130/203 [==================>...........] - ETA: 53s - loss: 25.6832 - logits_profile_predictions_loss: 25.0473 - logcount_predictions_loss: 0.6359 131/203 [==================>...........] - ETA: 52s - loss: 25.7027 - logits_profile_predictions_loss: 25.0658 - logcount_predictions_loss: 0.6369 132/203 [==================>...........] - ETA: 51s - loss: 25.7073 - logits_profile_predictions_loss: 25.0702 - 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- ETA: 41s - loss: 25.6876 - logits_profile_predictions_loss: 25.0520 - logcount_predictions_loss: 0.6356 147/203 [====================>.........] - ETA: 41s - loss: 25.6704 - logits_profile_predictions_loss: 25.0361 - logcount_predictions_loss: 0.6343 148/203 [====================>.........] - ETA: 40s - loss: 25.6734 - logits_profile_predictions_loss: 25.0385 - logcount_predictions_loss: 0.6349 149/203 [=====================>........] - ETA: 39s - loss: 25.6591 - logits_profile_predictions_loss: 25.0249 - logcount_predictions_loss: 0.6342 150/203 [=====================>........] - ETA: 38s - loss: 25.6537 - logits_profile_predictions_loss: 25.0204 - logcount_predictions_loss: 0.6333 151/203 [=====================>........] - ETA: 38s - loss: 25.6642 - logits_profile_predictions_loss: 25.0309 - logcount_predictions_loss: 0.6333 152/203 [=====================>........] - ETA: 37s - loss: 25.6612 - logits_profile_predictions_loss: 25.0283 - logcount_predictions_loss: 0.6328 153/203 [=====================>........] - ETA: 36s - loss: 25.6481 - logits_profile_predictions_loss: 25.0161 - logcount_predictions_loss: 0.6320 154/203 [=====================>........] - ETA: 36s - loss: 25.6403 - logits_profile_predictions_loss: 25.0088 - logcount_predictions_loss: 0.6315 155/203 [=====================>........] - ETA: 35s - loss: 25.6246 - logits_profile_predictions_loss: 24.9941 - logcount_predictions_loss: 0.6305 156/203 [======================>.......] - ETA: 34s - loss: 25.6103 - logits_profile_predictions_loss: 24.9802 - logcount_predictions_loss: 0.6301 157/203 [======================>.......] - ETA: 33s - loss: 25.5929 - logits_profile_predictions_loss: 24.9636 - logcount_predictions_loss: 0.6294 158/203 [======================>.......] - ETA: 33s - loss: 25.6301 - logits_profile_predictions_loss: 24.9983 - logcount_predictions_loss: 0.6318 159/203 [======================>.......] - ETA: 32s - loss: 25.6193 - logits_profile_predictions_loss: 24.9881 - 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- ETA: 22s - loss: 25.6074 - logits_profile_predictions_loss: 24.9775 - logcount_predictions_loss: 0.6299 174/203 [========================>.....] - ETA: 21s - loss: 25.6101 - logits_profile_predictions_loss: 24.9799 - logcount_predictions_loss: 0.6302 175/203 [========================>.....] - ETA: 20s - loss: 25.6069 - logits_profile_predictions_loss: 24.9769 - logcount_predictions_loss: 0.6300 176/203 [=========================>....] - ETA: 19s - loss: 25.6037 - logits_profile_predictions_loss: 24.9740 - logcount_predictions_loss: 0.6297 177/203 [=========================>....] - ETA: 19s - loss: 25.6048 - logits_profile_predictions_loss: 24.9748 - logcount_predictions_loss: 0.6300 178/203 [=========================>....] - ETA: 18s - loss: 25.5855 - logits_profile_predictions_loss: 24.9567 - logcount_predictions_loss: 0.6288 179/203 [=========================>....] - ETA: 17s - loss: 25.5850 - logits_profile_predictions_loss: 24.9557 - logcount_predictions_loss: 0.6293 180/203 [=========================>....] - ETA: 16s - loss: 25.5775 - logits_profile_predictions_loss: 24.9485 - logcount_predictions_loss: 0.6291 181/203 [=========================>....] - ETA: 16s - loss: 25.5854 - logits_profile_predictions_loss: 24.9560 - logcount_predictions_loss: 0.6294 182/203 [=========================>....] - ETA: 15s - loss: 25.5757 - logits_profile_predictions_loss: 24.9467 - logcount_predictions_loss: 0.6290 183/203 [==========================>...] - ETA: 14s - loss: 25.5738 - logits_profile_predictions_loss: 24.9451 - logcount_predictions_loss: 0.6287 184/203 [==========================>...] - ETA: 14s - loss: 25.5704 - logits_profile_predictions_loss: 24.9419 - logcount_predictions_loss: 0.6285 185/203 [==========================>...] - ETA: 13s - loss: 25.5777 - logits_profile_predictions_loss: 24.9489 - logcount_predictions_loss: 0.6288 186/203 [==========================>...] - ETA: 12s - loss: 25.5663 - logits_profile_predictions_loss: 24.9383 - 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2s - loss: 25.6371 - logits_profile_predictions_loss: 25.0041 - logcount_predictions_loss: 0.6331 201/203 [============================>.] - ETA: 1s - loss: 25.6424 - logits_profile_predictions_loss: 25.0084 - logcount_predictions_loss: 0.6339 202/203 [============================>.] - ETA: 0s - loss: 25.6486 - logits_profile_predictions_loss: 25.0148 - logcount_predictions_loss: 0.6338 203/203 [==============================] - ETA: 0s - loss: 25.6554 - logits_profile_predictions_loss: 25.0215 - logcount_predictions_loss: 0.6340 Epoch 2: val_loss improved from 28.08542 to 28.06416, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.adipocyte.H/fold_2/models/chrombpnet.h5  203/203 [==============================] - 160s 790ms/step - loss: 25.6554 - logits_profile_predictions_loss: 25.0215 - logcount_predictions_loss: 0.6340 - val_loss: 28.0642 - val_logits_profile_predictions_loss: 27.3653 - val_logcount_predictions_loss: 0.6988 Epoch 3/50 1/203 [..............................] - ETA: 2:24 - loss: 25.8680 - logits_profile_predictions_loss: 25.2207 - logcount_predictions_loss: 0.6473 2/203 [..............................] - ETA: 2:21 - loss: 24.8944 - logits_profile_predictions_loss: 24.3104 - logcount_predictions_loss: 0.5840 3/203 [..............................] - ETA: 2:21 - loss: 25.5972 - logits_profile_predictions_loss: 24.9621 - logcount_predictions_loss: 0.6352 4/203 [..............................] - ETA: 2:20 - loss: 25.5921 - logits_profile_predictions_loss: 24.9530 - logcount_predictions_loss: 0.6391 5/203 [..............................] - ETA: 2:20 - loss: 24.8795 - logits_profile_predictions_loss: 24.2800 - logcount_predictions_loss: 0.5995 6/203 [..............................] - ETA: 2:19 - loss: 24.9928 - logits_profile_predictions_loss: 24.3933 - logcount_predictions_loss: 0.5996 7/203 [>.............................] - ETA: 2:18 - loss: 25.3308 - 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[==>...........................] - ETA: 2:09 - loss: 25.6441 - logits_profile_predictions_loss: 25.0072 - logcount_predictions_loss: 0.6369 22/203 [==>...........................] - ETA: 2:08 - loss: 25.5335 - logits_profile_predictions_loss: 24.9011 - logcount_predictions_loss: 0.6324 23/203 [==>...........................] - ETA: 2:07 - loss: 25.5378 - logits_profile_predictions_loss: 24.9035 - logcount_predictions_loss: 0.6343 24/203 [==>...........................] - ETA: 2:07 - loss: 25.5452 - logits_profile_predictions_loss: 24.9088 - logcount_predictions_loss: 0.6365 25/203 [==>...........................] - ETA: 2:06 - loss: 25.5581 - logits_profile_predictions_loss: 24.9229 - logcount_predictions_loss: 0.6352 26/203 [==>...........................] - ETA: 2:05 - loss: 25.6275 - logits_profile_predictions_loss: 24.9901 - logcount_predictions_loss: 0.6374 27/203 [==>...........................] - ETA: 2:05 - loss: 25.7632 - logits_profile_predictions_loss: 25.1176 - 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[======>.......................] - ETA: 1:52 - loss: 26.0461 - logits_profile_predictions_loss: 25.3867 - logcount_predictions_loss: 0.6594 49/203 [======>.......................] - ETA: 1:51 - loss: 25.9994 - logits_profile_predictions_loss: 25.3433 - logcount_predictions_loss: 0.6561 50/203 [======>.......................] - ETA: 1:50 - loss: 26.0149 - logits_profile_predictions_loss: 25.3572 - logcount_predictions_loss: 0.6577 51/203 [======>.......................] - ETA: 1:49 - loss: 25.9468 - logits_profile_predictions_loss: 25.2934 - logcount_predictions_loss: 0.6535 52/203 [======>.......................] - ETA: 1:49 - loss: 25.9567 - logits_profile_predictions_loss: 25.3019 - logcount_predictions_loss: 0.6548 53/203 [======>.......................] - ETA: 1:48 - loss: 25.9531 - logits_profile_predictions_loss: 25.2987 - logcount_predictions_loss: 0.6544 54/203 [======>.......................] - ETA: 1:47 - loss: 25.9963 - logits_profile_predictions_loss: 25.3395 - 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[==========>...................] - ETA: 1:32 - loss: 25.9424 - logits_profile_predictions_loss: 25.2891 - logcount_predictions_loss: 0.6533 76/203 [==========>...................] - ETA: 1:32 - loss: 25.9376 - logits_profile_predictions_loss: 25.2839 - logcount_predictions_loss: 0.6536 77/203 [==========>...................] - ETA: 1:31 - loss: 25.9293 - logits_profile_predictions_loss: 25.2755 - logcount_predictions_loss: 0.6538 78/203 [==========>...................] - ETA: 1:30 - loss: 25.9438 - logits_profile_predictions_loss: 25.2889 - logcount_predictions_loss: 0.6550 79/203 [==========>...................] - ETA: 1:30 - loss: 25.9278 - logits_profile_predictions_loss: 25.2735 - logcount_predictions_loss: 0.6543 80/203 [==========>...................] - ETA: 1:29 - loss: 25.9331 - logits_profile_predictions_loss: 25.2777 - logcount_predictions_loss: 0.6554 81/203 [==========>...................] - ETA: 1:28 - loss: 25.9600 - logits_profile_predictions_loss: 25.3022 - 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[==============>...............] - ETA: 1:13 - loss: 25.8596 - logits_profile_predictions_loss: 25.2077 - logcount_predictions_loss: 0.6519 103/203 [==============>...............] - ETA: 1:12 - loss: 25.8604 - logits_profile_predictions_loss: 25.2087 - logcount_predictions_loss: 0.6517 104/203 [==============>...............] - ETA: 1:12 - loss: 25.8582 - logits_profile_predictions_loss: 25.2066 - logcount_predictions_loss: 0.6516 105/203 [==============>...............] - ETA: 1:11 - loss: 25.8625 - logits_profile_predictions_loss: 25.2111 - logcount_predictions_loss: 0.6514 106/203 [==============>...............] - ETA: 1:10 - loss: 25.8487 - logits_profile_predictions_loss: 25.1985 - logcount_predictions_loss: 0.6502 107/203 [==============>...............] - ETA: 1:09 - loss: 25.8451 - logits_profile_predictions_loss: 25.1951 - logcount_predictions_loss: 0.6499 108/203 [==============>...............] - ETA: 1:09 - loss: 25.8504 - logits_profile_predictions_loss: 25.2007 - 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[=================>............] - ETA: 59s - loss: 25.8456 - logits_profile_predictions_loss: 25.1977 - logcount_predictions_loss: 0.6479 123/203 [=================>............] - ETA: 58s - loss: 25.8412 - logits_profile_predictions_loss: 25.1937 - logcount_predictions_loss: 0.6474 124/203 [=================>............] - ETA: 57s - loss: 25.8233 - logits_profile_predictions_loss: 25.1773 - logcount_predictions_loss: 0.6460 125/203 [=================>............] - ETA: 56s - loss: 25.8303 - logits_profile_predictions_loss: 25.1841 - logcount_predictions_loss: 0.6461 126/203 [=================>............] - ETA: 56s - loss: 25.8150 - logits_profile_predictions_loss: 25.1701 - logcount_predictions_loss: 0.6448 127/203 [=================>............] - ETA: 55s - loss: 25.8265 - logits_profile_predictions_loss: 25.1807 - logcount_predictions_loss: 0.6458 128/203 [=================>............] - ETA: 54s - loss: 25.8368 - logits_profile_predictions_loss: 25.1897 - 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[==============================] - ETA: 0s - loss: 25.6031 - logits_profile_predictions_loss: 24.9710 - logcount_predictions_loss: 0.6320 Epoch 3: val_loss improved from 28.06416 to 27.95436, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.adipocyte.H/fold_2/models/chrombpnet.h5  203/203 [==============================] - 160s 788ms/step - loss: 25.6031 - logits_profile_predictions_loss: 24.9710 - logcount_predictions_loss: 0.6320 - val_loss: 27.9544 - val_logits_profile_predictions_loss: 27.2823 - val_logcount_predictions_loss: 0.6720 Epoch 4/50 1/203 [..............................] - ETA: 2:24 - loss: 24.2251 - logits_profile_predictions_loss: 23.6892 - logcount_predictions_loss: 0.5359 2/203 [..............................] - ETA: 2:22 - loss: 23.3235 - logits_profile_predictions_loss: 22.8178 - logcount_predictions_loss: 0.5057 3/203 [..............................] - ETA: 2:21 - loss: 24.2392 - 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[=====>........................] - ETA: 1:54 - loss: 25.2257 - logits_profile_predictions_loss: 24.7467 - logcount_predictions_loss: 0.4790 45/203 [=====>........................] - ETA: 1:53 - loss: 25.1635 - logits_profile_predictions_loss: 24.6912 - logcount_predictions_loss: 0.4723 46/203 [=====>........................] - ETA: 1:53 - loss: 25.1745 - logits_profile_predictions_loss: 24.7069 - logcount_predictions_loss: 0.4676 47/203 [=====>........................] - ETA: 1:52 - loss: 25.1626 - logits_profile_predictions_loss: 24.6994 - logcount_predictions_loss: 0.4632 48/203 [======>.......................] - ETA: 1:51 - loss: 25.1515 - logits_profile_predictions_loss: 24.6935 - logcount_predictions_loss: 0.4580 49/203 [======>.......................] - ETA: 1:51 - loss: 25.1006 - logits_profile_predictions_loss: 24.6488 - logcount_predictions_loss: 0.4518 50/203 [======>.......................] - ETA: 1:50 - loss: 25.0871 - logits_profile_predictions_loss: 24.6400 - 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[=========>....................] - ETA: 1:35 - loss: 25.1910 - logits_profile_predictions_loss: 24.8075 - logcount_predictions_loss: 0.3835 72/203 [=========>....................] - ETA: 1:34 - loss: 25.1962 - logits_profile_predictions_loss: 24.8148 - logcount_predictions_loss: 0.3814 73/203 [=========>....................] - ETA: 1:34 - loss: 25.1587 - logits_profile_predictions_loss: 24.7796 - logcount_predictions_loss: 0.3791 74/203 [=========>....................] - ETA: 1:33 - loss: 25.1494 - logits_profile_predictions_loss: 24.7724 - logcount_predictions_loss: 0.3770 75/203 [==========>...................] - ETA: 1:32 - loss: 25.1340 - logits_profile_predictions_loss: 24.7601 - logcount_predictions_loss: 0.3740 76/203 [==========>...................] - ETA: 1:32 - loss: 25.1333 - logits_profile_predictions_loss: 24.7619 - logcount_predictions_loss: 0.3714 77/203 [==========>...................] - ETA: 1:31 - loss: 25.1216 - logits_profile_predictions_loss: 24.7520 - 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[============================>.] - ETA: 2s - loss: 25.1568 - logits_profile_predictions_loss: 24.8780 - logcount_predictions_loss: 0.2788 200/203 [============================>.] - ETA: 2s - loss: 25.1600 - logits_profile_predictions_loss: 24.8815 - logcount_predictions_loss: 0.2785 201/203 [============================>.] - ETA: 1s - loss: 25.1694 - logits_profile_predictions_loss: 24.8911 - logcount_predictions_loss: 0.2783 202/203 [============================>.] - ETA: 0s - loss: 25.1520 - logits_profile_predictions_loss: 24.8741 - logcount_predictions_loss: 0.2779 203/203 [==============================] - ETA: 0s - loss: 25.1461 - logits_profile_predictions_loss: 24.8686 - logcount_predictions_loss: 0.2776 Epoch 4: val_loss improved from 27.95436 to 27.44877, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.adipocyte.H/fold_2/models/chrombpnet.h5  203/203 [==============================] - 160s 789ms/step 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[>.............................] - ETA: 2:15 - loss: 24.2205 - logits_profile_predictions_loss: 24.0069 - logcount_predictions_loss: 0.2136 14/203 [=>............................] - ETA: 2:14 - loss: 24.3676 - logits_profile_predictions_loss: 24.1546 - logcount_predictions_loss: 0.2130 15/203 [=>............................] - ETA: 2:13 - loss: 24.3588 - logits_profile_predictions_loss: 24.1493 - logcount_predictions_loss: 0.2095 16/203 [=>............................] - ETA: 2:13 - loss: 24.3359 - logits_profile_predictions_loss: 24.1317 - logcount_predictions_loss: 0.2042 17/203 [=>............................] - ETA: 2:12 - loss: 24.2645 - logits_profile_predictions_loss: 24.0622 - logcount_predictions_loss: 0.2023 18/203 [=>............................] - ETA: 2:11 - loss: 24.4381 - logits_profile_predictions_loss: 24.2325 - logcount_predictions_loss: 0.2056 19/203 [=>............................] - ETA: 2:11 - loss: 24.5408 - logits_profile_predictions_loss: 24.3309 - 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logits_profile_predictions_loss: 24.7989 - logcount_predictions_loss: 0.2123 182/203 [=========================>....] - ETA: 15s - loss: 25.0142 - logits_profile_predictions_loss: 24.8021 - logcount_predictions_loss: 0.2121 183/203 [==========================>...] - ETA: 14s - loss: 25.0106 - logits_profile_predictions_loss: 24.7987 - logcount_predictions_loss: 0.2118 184/203 [==========================>...] - ETA: 14s - loss: 25.0045 - logits_profile_predictions_loss: 24.7927 - logcount_predictions_loss: 0.2117 185/203 [==========================>...] - ETA: 13s - loss: 25.0081 - logits_profile_predictions_loss: 24.7963 - logcount_predictions_loss: 0.2118 186/203 [==========================>...] - ETA: 12s - loss: 25.0104 - logits_profile_predictions_loss: 24.7988 - logcount_predictions_loss: 0.2115 187/203 [==========================>...] - ETA: 11s - loss: 24.9965 - logits_profile_predictions_loss: 24.7849 - logcount_predictions_loss: 0.2116 188/203 [==========================>...] - ETA: 11s - loss: 24.9894 - logits_profile_predictions_loss: 24.7777 - logcount_predictions_loss: 0.2117 189/203 [==========================>...] - ETA: 10s - loss: 24.9924 - logits_profile_predictions_loss: 24.7806 - logcount_predictions_loss: 0.2118 190/203 [===========================>..] - ETA: 9s - loss: 24.9970 - logits_profile_predictions_loss: 24.7853 - logcount_predictions_loss: 0.2117  191/203 [===========================>..] - ETA: 8s - loss: 25.0011 - logits_profile_predictions_loss: 24.7894 - logcount_predictions_loss: 0.2117 192/203 [===========================>..] - ETA: 8s - loss: 24.9941 - logits_profile_predictions_loss: 24.7825 - logcount_predictions_loss: 0.2116 193/203 [===========================>..] - ETA: 7s - loss: 25.0030 - logits_profile_predictions_loss: 24.7914 - logcount_predictions_loss: 0.2116 194/203 [===========================>..] - ETA: 6s - loss: 25.0059 - logits_profile_predictions_loss: 24.7942 - logcount_predictions_loss: 0.2118 195/203 [===========================>..] - ETA: 5s - loss: 25.0117 - logits_profile_predictions_loss: 24.8000 - logcount_predictions_loss: 0.2117 196/203 [===========================>..] - ETA: 5s - loss: 25.0099 - logits_profile_predictions_loss: 24.7984 - logcount_predictions_loss: 0.2115 197/203 [============================>.] - ETA: 4s - loss: 24.9999 - logits_profile_predictions_loss: 24.7881 - logcount_predictions_loss: 0.2118 198/203 [============================>.] - ETA: 3s - loss: 24.9934 - logits_profile_predictions_loss: 24.7818 - logcount_predictions_loss: 0.2116 199/203 [============================>.] - ETA: 2s - loss: 24.9945 - logits_profile_predictions_loss: 24.7831 - logcount_predictions_loss: 0.2114 200/203 [============================>.] - ETA: 2s - loss: 24.9908 - logits_profile_predictions_loss: 24.7794 - logcount_predictions_loss: 0.2114 201/203 [============================>.] - ETA: 1s - loss: 24.9814 - logits_profile_predictions_loss: 24.7701 - logcount_predictions_loss: 0.2113 202/203 [============================>.] - ETA: 0s - loss: 24.9788 - logits_profile_predictions_loss: 24.7676 - logcount_predictions_loss: 0.2112 203/203 [==============================] - ETA: 0s - loss: 24.9817 - logits_profile_predictions_loss: 24.7704 - logcount_predictions_loss: 0.2112 Epoch 5: val_loss did not improve from 27.44877  203/203 [==============================] - 160s 790ms/step - loss: 24.9817 - logits_profile_predictions_loss: 24.7704 - logcount_predictions_loss: 0.2112 - val_loss: 27.4784 - val_logits_profile_predictions_loss: 27.2848 - val_logcount_predictions_loss: 0.1937 Epoch 6/50 1/203 [..............................] - ETA: 2:25 - loss: 26.0039 - logits_profile_predictions_loss: 25.7983 - logcount_predictions_loss: 0.2056 2/203 [..............................] - ETA: 2:22 - loss: 24.4797 - logits_profile_predictions_loss: 24.2853 - logcount_predictions_loss: 0.1944 3/203 [..............................] - ETA: 2:21 - loss: 23.7490 - logits_profile_predictions_loss: 23.5583 - logcount_predictions_loss: 0.1907 4/203 [..............................] - ETA: 2:21 - loss: 24.6074 - logits_profile_predictions_loss: 24.4086 - logcount_predictions_loss: 0.1988 5/203 [..............................] - ETA: 2:20 - loss: 24.6308 - logits_profile_predictions_loss: 24.4282 - logcount_predictions_loss: 0.2026 6/203 [..............................] - ETA: 2:20 - loss: 25.0073 - logits_profile_predictions_loss: 24.8054 - logcount_predictions_loss: 0.2019 7/203 [>.............................] - ETA: 2:19 - loss: 24.7678 - logits_profile_predictions_loss: 24.5650 - logcount_predictions_loss: 0.2028 8/203 [>.............................] - ETA: 2:18 - loss: 24.3698 - logits_profile_predictions_loss: 24.1694 - logcount_predictions_loss: 0.2005 9/203 [>.............................] - ETA: 2:18 - loss: 24.1455 - logits_profile_predictions_loss: 23.9516 - logcount_predictions_loss: 0.1939 10/203 [>.............................] - ETA: 2:17 - loss: 24.4543 - logits_profile_predictions_loss: 24.2594 - logcount_predictions_loss: 0.1949 11/203 [>.............................] - ETA: 2:16 - loss: 24.3255 - logits_profile_predictions_loss: 24.1279 - logcount_predictions_loss: 0.1976 12/203 [>.............................] - ETA: 2:16 - loss: 24.4630 - logits_profile_predictions_loss: 24.2604 - logcount_predictions_loss: 0.2025 13/203 [>.............................] - ETA: 2:15 - loss: 24.3772 - logits_profile_predictions_loss: 24.1753 - logcount_predictions_loss: 0.2019 14/203 [=>............................] - ETA: 2:14 - loss: 24.4740 - logits_profile_predictions_loss: 24.2715 - logcount_predictions_loss: 0.2025 15/203 [=>............................] - ETA: 2:14 - loss: 24.3723 - logits_profile_predictions_loss: 24.1725 - logcount_predictions_loss: 0.1998 16/203 [=>............................] - ETA: 2:13 - loss: 24.5073 - logits_profile_predictions_loss: 24.3094 - logcount_predictions_loss: 0.1979 17/203 [=>............................] - ETA: 2:12 - loss: 24.5485 - logits_profile_predictions_loss: 24.3513 - logcount_predictions_loss: 0.1973 18/203 [=>............................] - ETA: 2:11 - loss: 24.4952 - logits_profile_predictions_loss: 24.2989 - logcount_predictions_loss: 0.1963 19/203 [=>............................] - ETA: 2:11 - loss: 24.6344 - logits_profile_predictions_loss: 24.4355 - logcount_predictions_loss: 0.1989 20/203 [=>............................] - ETA: 2:10 - loss: 24.5482 - logits_profile_predictions_loss: 24.3494 - logcount_predictions_loss: 0.1988 21/203 [==>...........................] - ETA: 2:09 - loss: 24.7104 - logits_profile_predictions_loss: 24.5129 - logcount_predictions_loss: 0.1975 22/203 [==>...........................] - ETA: 2:09 - loss: 24.6421 - logits_profile_predictions_loss: 24.4439 - logcount_predictions_loss: 0.1983 23/203 [==>...........................] - ETA: 2:08 - loss: 24.7266 - logits_profile_predictions_loss: 24.5297 - logcount_predictions_loss: 0.1968 24/203 [==>...........................] - ETA: 2:07 - loss: 24.6575 - logits_profile_predictions_loss: 24.4622 - logcount_predictions_loss: 0.1954 25/203 [==>...........................] - ETA: 2:07 - loss: 24.7129 - logits_profile_predictions_loss: 24.5175 - logcount_predictions_loss: 0.1954 26/203 [==>...........................] - ETA: 2:06 - loss: 24.7768 - logits_profile_predictions_loss: 24.5819 - logcount_predictions_loss: 0.1949 27/203 [==>...........................] - ETA: 2:05 - loss: 24.7216 - logits_profile_predictions_loss: 24.5259 - logcount_predictions_loss: 0.1957 28/203 [===>..........................] - ETA: 2:05 - loss: 24.5716 - logits_profile_predictions_loss: 24.3752 - logcount_predictions_loss: 0.1964 29/203 [===>..........................] - ETA: 2:04 - loss: 24.5781 - logits_profile_predictions_loss: 24.3840 - logcount_predictions_loss: 0.1941 30/203 [===>..........................] - ETA: 2:03 - loss: 24.5406 - logits_profile_predictions_loss: 24.3454 - logcount_predictions_loss: 0.1952 31/203 [===>..........................] - ETA: 2:02 - loss: 24.5872 - logits_profile_predictions_loss: 24.3927 - logcount_predictions_loss: 0.1944 32/203 [===>..........................] - ETA: 2:02 - loss: 24.5601 - logits_profile_predictions_loss: 24.3670 - logcount_predictions_loss: 0.1931 33/203 [===>..........................] - ETA: 2:01 - loss: 24.5989 - logits_profile_predictions_loss: 24.4047 - logcount_predictions_loss: 0.1942 34/203 [====>.........................] - ETA: 2:01 - loss: 24.5779 - logits_profile_predictions_loss: 24.3832 - logcount_predictions_loss: 0.1947 35/203 [====>.........................] - ETA: 2:00 - loss: 24.6285 - logits_profile_predictions_loss: 24.4325 - logcount_predictions_loss: 0.1960 36/203 [====>.........................] - ETA: 1:59 - loss: 24.6519 - logits_profile_predictions_loss: 24.4550 - logcount_predictions_loss: 0.1969 37/203 [====>.........................] - ETA: 1:58 - loss: 24.6695 - logits_profile_predictions_loss: 24.4723 - logcount_predictions_loss: 0.1972 38/203 [====>.........................] - ETA: 1:58 - loss: 24.6857 - logits_profile_predictions_loss: 24.4875 - logcount_predictions_loss: 0.1982 39/203 [====>.........................] - ETA: 1:57 - loss: 24.6719 - logits_profile_predictions_loss: 24.4731 - logcount_predictions_loss: 0.1988 40/203 [====>.........................] - ETA: 1:56 - loss: 24.6869 - logits_profile_predictions_loss: 24.4870 - logcount_predictions_loss: 0.1999 41/203 [=====>........................] - ETA: 1:56 - loss: 24.6662 - logits_profile_predictions_loss: 24.4652 - logcount_predictions_loss: 0.2010 42/203 [=====>........................] - ETA: 1:55 - loss: 24.6261 - logits_profile_predictions_loss: 24.4235 - logcount_predictions_loss: 0.2025 43/203 [=====>........................] - ETA: 1:54 - loss: 24.6801 - logits_profile_predictions_loss: 24.4777 - logcount_predictions_loss: 0.2024 44/203 [=====>........................] - ETA: 1:54 - loss: 24.6479 - logits_profile_predictions_loss: 24.4466 - logcount_predictions_loss: 0.2013 45/203 [=====>........................] - ETA: 1:53 - loss: 24.6581 - logits_profile_predictions_loss: 24.4578 - logcount_predictions_loss: 0.2003 46/203 [=====>........................] - ETA: 1:52 - loss: 24.6300 - logits_profile_predictions_loss: 24.4287 - logcount_predictions_loss: 0.2013 47/203 [=====>........................] - ETA: 1:52 - loss: 24.6773 - logits_profile_predictions_loss: 24.4753 - logcount_predictions_loss: 0.2019 48/203 [======>.......................] - ETA: 1:51 - loss: 24.7150 - logits_profile_predictions_loss: 24.5124 - logcount_predictions_loss: 0.2026 49/203 [======>.......................] - ETA: 1:50 - loss: 24.7343 - logits_profile_predictions_loss: 24.5304 - logcount_predictions_loss: 0.2039 50/203 [======>.......................] - ETA: 1:50 - loss: 24.7565 - logits_profile_predictions_loss: 24.5512 - logcount_predictions_loss: 0.2053 51/203 [======>.......................] - ETA: 1:49 - loss: 24.8042 - logits_profile_predictions_loss: 24.5984 - logcount_predictions_loss: 0.2058 52/203 [======>.......................] - ETA: 1:48 - loss: 24.8307 - logits_profile_predictions_loss: 24.6239 - logcount_predictions_loss: 0.2067 53/203 [======>.......................] - ETA: 1:48 - loss: 24.8120 - logits_profile_predictions_loss: 24.6054 - logcount_predictions_loss: 0.2066 54/203 [======>.......................] - ETA: 1:47 - loss: 24.8413 - logits_profile_predictions_loss: 24.6344 - logcount_predictions_loss: 0.2069 55/203 [=======>......................] - ETA: 1:46 - loss: 24.8687 - logits_profile_predictions_loss: 24.6620 - logcount_predictions_loss: 0.2067 56/203 [=======>......................] - ETA: 1:45 - loss: 24.8772 - logits_profile_predictions_loss: 24.6706 - logcount_predictions_loss: 0.2066 57/203 [=======>......................] - ETA: 1:45 - loss: 24.8615 - logits_profile_predictions_loss: 24.6553 - logcount_predictions_loss: 0.2062 58/203 [=======>......................] - ETA: 1:44 - loss: 24.8461 - logits_profile_predictions_loss: 24.6404 - logcount_predictions_loss: 0.2057 59/203 [=======>......................] - ETA: 1:43 - loss: 24.8116 - logits_profile_predictions_loss: 24.6061 - logcount_predictions_loss: 0.2055 60/203 [=======>......................] - ETA: 1:43 - loss: 24.7849 - logits_profile_predictions_loss: 24.5796 - logcount_predictions_loss: 0.2053 61/203 [========>.....................] - ETA: 1:42 - loss: 24.8032 - logits_profile_predictions_loss: 24.5989 - logcount_predictions_loss: 0.2043 62/203 [========>.....................] - ETA: 1:41 - loss: 24.7940 - logits_profile_predictions_loss: 24.5888 - logcount_predictions_loss: 0.2051 63/203 [========>.....................] - ETA: 1:41 - loss: 24.7996 - logits_profile_predictions_loss: 24.5948 - logcount_predictions_loss: 0.2049 64/203 [========>.....................] - ETA: 1:40 - loss: 24.8015 - logits_profile_predictions_loss: 24.5974 - logcount_predictions_loss: 0.2042 65/203 [========>.....................] - ETA: 1:39 - loss: 24.8305 - logits_profile_predictions_loss: 24.6263 - logcount_predictions_loss: 0.2042 66/203 [========>.....................] - ETA: 1:39 - loss: 24.8445 - logits_profile_predictions_loss: 24.6402 - logcount_predictions_loss: 0.2043 67/203 [========>.....................] - ETA: 1:38 - loss: 24.8721 - logits_profile_predictions_loss: 24.6668 - logcount_predictions_loss: 0.2053 68/203 [=========>....................] - ETA: 1:37 - loss: 24.8835 - logits_profile_predictions_loss: 24.6785 - logcount_predictions_loss: 0.2051 69/203 [=========>....................] - ETA: 1:36 - loss: 24.8983 - logits_profile_predictions_loss: 24.6927 - logcount_predictions_loss: 0.2057 70/203 [=========>....................] - ETA: 1:36 - loss: 24.8849 - logits_profile_predictions_loss: 24.6799 - logcount_predictions_loss: 0.2050 71/203 [=========>....................] - ETA: 1:35 - loss: 24.9107 - logits_profile_predictions_loss: 24.7056 - logcount_predictions_loss: 0.2051 72/203 [=========>....................] - ETA: 1:34 - loss: 24.9867 - logits_profile_predictions_loss: 24.7803 - logcount_predictions_loss: 0.2064 73/203 [=========>....................] - ETA: 1:34 - loss: 24.9563 - logits_profile_predictions_loss: 24.7509 - logcount_predictions_loss: 0.2055 74/203 [=========>....................] - ETA: 1:33 - loss: 24.9879 - logits_profile_predictions_loss: 24.7829 - logcount_predictions_loss: 0.2050 75/203 [==========>...................] - ETA: 1:32 - loss: 24.9638 - logits_profile_predictions_loss: 24.7592 - logcount_predictions_loss: 0.2046 76/203 [==========>...................] - ETA: 1:32 - loss: 24.9696 - logits_profile_predictions_loss: 24.7642 - logcount_predictions_loss: 0.2054 77/203 [==========>...................] - ETA: 1:31 - loss: 25.0225 - logits_profile_predictions_loss: 24.8166 - logcount_predictions_loss: 0.2059 78/203 [==========>...................] - ETA: 1:30 - loss: 25.0130 - logits_profile_predictions_loss: 24.8072 - logcount_predictions_loss: 0.2058 79/203 [==========>...................] - ETA: 1:30 - loss: 24.9522 - logits_profile_predictions_loss: 24.7471 - logcount_predictions_loss: 0.2051 80/203 [==========>...................] - ETA: 1:29 - loss: 24.9284 - logits_profile_predictions_loss: 24.7237 - logcount_predictions_loss: 0.2047 81/203 [==========>...................] - ETA: 1:28 - loss: 24.9235 - logits_profile_predictions_loss: 24.7186 - logcount_predictions_loss: 0.2049 82/203 [===========>..................] - ETA: 1:27 - loss: 24.9119 - logits_profile_predictions_loss: 24.7078 - logcount_predictions_loss: 0.2041 83/203 [===========>..................] - ETA: 1:27 - loss: 24.8947 - logits_profile_predictions_loss: 24.6902 - logcount_predictions_loss: 0.2045 84/203 [===========>..................] - ETA: 1:26 - loss: 24.8949 - logits_profile_predictions_loss: 24.6903 - logcount_predictions_loss: 0.2046 85/203 [===========>..................] - ETA: 1:25 - loss: 24.9270 - logits_profile_predictions_loss: 24.7222 - logcount_predictions_loss: 0.2048 86/203 [===========>..................] - ETA: 1:25 - loss: 24.9142 - logits_profile_predictions_loss: 24.7094 - logcount_predictions_loss: 0.2048 87/203 [===========>..................] - ETA: 1:24 - loss: 24.9084 - logits_profile_predictions_loss: 24.7041 - logcount_predictions_loss: 0.2043 88/203 [============>.................] - ETA: 1:23 - loss: 24.9224 - logits_profile_predictions_loss: 24.7184 - logcount_predictions_loss: 0.2040 89/203 [============>.................] - ETA: 1:22 - loss: 24.9413 - logits_profile_predictions_loss: 24.7378 - logcount_predictions_loss: 0.2036 90/203 [============>.................] - ETA: 1:22 - loss: 24.9473 - logits_profile_predictions_loss: 24.7436 - logcount_predictions_loss: 0.2037 91/203 [============>.................] - ETA: 1:21 - loss: 24.9222 - logits_profile_predictions_loss: 24.7180 - logcount_predictions_loss: 0.2042 92/203 [============>.................] - ETA: 1:21 - loss: 24.9390 - logits_profile_predictions_loss: 24.7345 - logcount_predictions_loss: 0.2045 93/203 [============>.................] - ETA: 1:20 - loss: 24.9610 - logits_profile_predictions_loss: 24.7566 - logcount_predictions_loss: 0.2045 94/203 [============>.................] - ETA: 1:19 - loss: 24.9424 - logits_profile_predictions_loss: 24.7380 - logcount_predictions_loss: 0.2044 95/203 [=============>................] - ETA: 1:18 - loss: 24.9481 - logits_profile_predictions_loss: 24.7438 - logcount_predictions_loss: 0.2043 96/203 [=============>................] - ETA: 1:18 - loss: 24.9778 - logits_profile_predictions_loss: 24.7730 - logcount_predictions_loss: 0.2048 97/203 [=============>................] - ETA: 1:17 - loss: 24.9895 - logits_profile_predictions_loss: 24.7847 - logcount_predictions_loss: 0.2048 98/203 [=============>................] - ETA: 1:16 - loss: 24.9841 - logits_profile_predictions_loss: 24.7797 - logcount_predictions_loss: 0.2044 99/203 [=============>................] - ETA: 1:15 - loss: 25.0108 - logits_profile_predictions_loss: 24.8061 - logcount_predictions_loss: 0.2047 100/203 [=============>................] - ETA: 1:15 - loss: 24.9981 - logits_profile_predictions_loss: 24.7938 - logcount_predictions_loss: 0.2043 101/203 [=============>................] - ETA: 1:14 - loss: 24.9767 - logits_profile_predictions_loss: 24.7728 - logcount_predictions_loss: 0.2039 102/203 [==============>...............] - ETA: 1:13 - loss: 24.9555 - logits_profile_predictions_loss: 24.7519 - logcount_predictions_loss: 0.2035 103/203 [==============>...............] - ETA: 1:13 - loss: 24.9852 - logits_profile_predictions_loss: 24.7818 - logcount_predictions_loss: 0.2034 104/203 [==============>...............] - ETA: 1:12 - loss: 24.9668 - logits_profile_predictions_loss: 24.7635 - logcount_predictions_loss: 0.2034 105/203 [==============>...............] - ETA: 1:11 - loss: 24.9519 - logits_profile_predictions_loss: 24.7488 - logcount_predictions_loss: 0.2032 106/203 [==============>...............] - ETA: 1:10 - loss: 24.9286 - logits_profile_predictions_loss: 24.7254 - logcount_predictions_loss: 0.2033 107/203 [==============>...............] - ETA: 1:10 - loss: 24.9140 - logits_profile_predictions_loss: 24.7109 - logcount_predictions_loss: 0.2031 108/203 [==============>...............] - ETA: 1:09 - loss: 24.8943 - logits_profile_predictions_loss: 24.6916 - logcount_predictions_loss: 0.2027 109/203 [===============>..............] - ETA: 1:08 - loss: 24.8937 - logits_profile_predictions_loss: 24.6914 - logcount_predictions_loss: 0.2023 110/203 [===============>..............] - ETA: 1:08 - loss: 24.8888 - logits_profile_predictions_loss: 24.6867 - logcount_predictions_loss: 0.2020 111/203 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logcount_predictions_loss: 0.1971 199/203 [============================>.] - ETA: 2s - loss: 24.8393 - logits_profile_predictions_loss: 24.6422 - logcount_predictions_loss: 0.1972 200/203 [============================>.] - ETA: 2s - loss: 24.8381 - logits_profile_predictions_loss: 24.6409 - logcount_predictions_loss: 0.1973 201/203 [============================>.] - ETA: 1s - loss: 24.8419 - logits_profile_predictions_loss: 24.6448 - logcount_predictions_loss: 0.1972 202/203 [============================>.] - ETA: 0s - loss: 24.8451 - logits_profile_predictions_loss: 24.6477 - logcount_predictions_loss: 0.1974 203/203 [==============================] - ETA: 0s - loss: 24.8450 - logits_profile_predictions_loss: 24.6476 - logcount_predictions_loss: 0.1974 Epoch 6: val_loss improved from 27.44877 to 27.42717, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.adipocyte.H/fold_2/models/chrombpnet.h5  203/203 [==============================] - 162s 800ms/step - loss: 24.8450 - logits_profile_predictions_loss: 24.6476 - logcount_predictions_loss: 0.1974 - val_loss: 27.4272 - val_logits_profile_predictions_loss: 27.2418 - val_logcount_predictions_loss: 0.1853 Epoch 7/50 1/203 [..............................] - ETA: 2:25 - loss: 28.1841 - logits_profile_predictions_loss: 27.9471 - logcount_predictions_loss: 0.2370 2/203 [..............................] - ETA: 2:22 - loss: 25.8643 - logits_profile_predictions_loss: 25.6643 - logcount_predictions_loss: 0.1999 3/203 [..............................] - ETA: 2:22 - loss: 24.7501 - logits_profile_predictions_loss: 24.5538 - logcount_predictions_loss: 0.1963 4/203 [..............................] - ETA: 2:21 - loss: 26.3685 - logits_profile_predictions_loss: 26.1604 - logcount_predictions_loss: 0.2081 5/203 [..............................] - ETA: 2:20 - loss: 25.8460 - logits_profile_predictions_loss: 25.6409 - logcount_predictions_loss: 0.2051 6/203 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[=================>............] - ETA: 55s - loss: 24.7682 - logits_profile_predictions_loss: 24.5798 - logcount_predictions_loss: 0.1884 128/203 [=================>............] - ETA: 55s - loss: 24.7864 - logits_profile_predictions_loss: 24.5981 - logcount_predictions_loss: 0.1884 129/203 [==================>...........] - ETA: 54s - loss: 24.7845 - logits_profile_predictions_loss: 24.5957 - logcount_predictions_loss: 0.1887 130/203 [==================>...........] - ETA: 53s - loss: 24.7813 - logits_profile_predictions_loss: 24.5924 - logcount_predictions_loss: 0.1888 131/203 [==================>...........] - ETA: 52s - loss: 24.7782 - logits_profile_predictions_loss: 24.5891 - logcount_predictions_loss: 0.1891 132/203 [==================>...........] - ETA: 52s - loss: 24.7857 - logits_profile_predictions_loss: 24.5967 - logcount_predictions_loss: 0.1890 133/203 [==================>...........] - ETA: 51s - loss: 24.7757 - logits_profile_predictions_loss: 24.5865 - 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- ETA: 41s - loss: 24.7881 - logits_profile_predictions_loss: 24.5991 - logcount_predictions_loss: 0.1890 148/203 [====================>.........] - ETA: 40s - loss: 24.7784 - logits_profile_predictions_loss: 24.5892 - logcount_predictions_loss: 0.1893 149/203 [=====================>........] - ETA: 39s - loss: 24.7789 - logits_profile_predictions_loss: 24.5897 - logcount_predictions_loss: 0.1893 150/203 [=====================>........] - ETA: 39s - loss: 24.7806 - logits_profile_predictions_loss: 24.5911 - logcount_predictions_loss: 0.1894 151/203 [=====================>........] - ETA: 38s - loss: 24.8177 - logits_profile_predictions_loss: 24.6279 - logcount_predictions_loss: 0.1897 152/203 [=====================>........] - ETA: 37s - loss: 24.8134 - logits_profile_predictions_loss: 24.6238 - logcount_predictions_loss: 0.1897 153/203 [=====================>........] - ETA: 36s - loss: 24.8229 - logits_profile_predictions_loss: 24.6328 - logcount_predictions_loss: 0.1901 154/203 [=====================>........] - ETA: 36s - loss: 24.8175 - logits_profile_predictions_loss: 24.6278 - logcount_predictions_loss: 0.1898 155/203 [=====================>........] - ETA: 35s - loss: 24.8088 - logits_profile_predictions_loss: 24.6190 - logcount_predictions_loss: 0.1898 156/203 [======================>.......] - ETA: 34s - loss: 24.8083 - logits_profile_predictions_loss: 24.6188 - logcount_predictions_loss: 0.1895 157/203 [======================>.......] - ETA: 33s - loss: 24.8187 - logits_profile_predictions_loss: 24.6287 - logcount_predictions_loss: 0.1900 158/203 [======================>.......] - ETA: 33s - loss: 24.8148 - logits_profile_predictions_loss: 24.6247 - logcount_predictions_loss: 0.1901 159/203 [======================>.......] - ETA: 32s - loss: 24.8209 - logits_profile_predictions_loss: 24.6305 - logcount_predictions_loss: 0.1903 160/203 [======================>.......] - ETA: 31s - loss: 24.8321 - logits_profile_predictions_loss: 24.6413 - 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[=========================>....] - ETA: 16s - loss: 24.7643 - logits_profile_predictions_loss: 24.5752 - logcount_predictions_loss: 0.1891 182/203 [=========================>....] - ETA: 15s - loss: 24.7606 - logits_profile_predictions_loss: 24.5718 - logcount_predictions_loss: 0.1888 183/203 [==========================>...] - ETA: 14s - loss: 24.7725 - logits_profile_predictions_loss: 24.5838 - logcount_predictions_loss: 0.1887 184/203 [==========================>...] - ETA: 14s - loss: 24.7759 - logits_profile_predictions_loss: 24.5868 - logcount_predictions_loss: 0.1891 185/203 [==========================>...] - ETA: 13s - loss: 24.7699 - logits_profile_predictions_loss: 24.5809 - logcount_predictions_loss: 0.1890 186/203 [==========================>...] - ETA: 12s - loss: 24.7635 - logits_profile_predictions_loss: 24.5746 - logcount_predictions_loss: 0.1889 187/203 [==========================>...] - ETA: 11s - loss: 24.7535 - logits_profile_predictions_loss: 24.5648 - 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1s - loss: 24.7329 - logits_profile_predictions_loss: 24.5453 - logcount_predictions_loss: 0.1877 202/203 [============================>.] - ETA: 0s - loss: 24.7326 - logits_profile_predictions_loss: 24.5447 - logcount_predictions_loss: 0.1878 203/203 [==============================] - ETA: 0s - loss: 24.7341 - logits_profile_predictions_loss: 24.5465 - logcount_predictions_loss: 0.1876 Epoch 7: val_loss did not improve from 27.42717  203/203 [==============================] - 160s 791ms/step - loss: 24.7341 - logits_profile_predictions_loss: 24.5465 - logcount_predictions_loss: 0.1876 - val_loss: 27.4286 - val_logits_profile_predictions_loss: 27.2630 - val_logcount_predictions_loss: 0.1656 Epoch 8/50 1/203 [..............................] - ETA: 2:25 - loss: 22.5550 - logits_profile_predictions_loss: 22.3749 - logcount_predictions_loss: 0.1802 2/203 [..............................] - ETA: 2:23 - loss: 23.1342 - logits_profile_predictions_loss: 22.9433 - logcount_predictions_loss: 0.1909 3/203 [..............................] - ETA: 2:22 - loss: 23.6743 - logits_profile_predictions_loss: 23.5016 - logcount_predictions_loss: 0.1727 4/203 [..............................] - ETA: 2:22 - loss: 23.6285 - logits_profile_predictions_loss: 23.4611 - logcount_predictions_loss: 0.1674 5/203 [..............................] - ETA: 2:21 - loss: 23.7672 - logits_profile_predictions_loss: 23.5990 - logcount_predictions_loss: 0.1683 6/203 [..............................] - ETA: 2:20 - loss: 23.9003 - logits_profile_predictions_loss: 23.7258 - logcount_predictions_loss: 0.1745 7/203 [>.............................] - ETA: 2:19 - loss: 23.9555 - logits_profile_predictions_loss: 23.7799 - logcount_predictions_loss: 0.1756 8/203 [>.............................] - ETA: 2:19 - loss: 23.8631 - logits_profile_predictions_loss: 23.6841 - logcount_predictions_loss: 0.1790 9/203 [>.............................] - ETA: 2:18 - loss: 23.5550 - logits_profile_predictions_loss: 23.3781 - logcount_predictions_loss: 0.1769 10/203 [>.............................] - ETA: 2:17 - loss: 23.6469 - logits_profile_predictions_loss: 23.4724 - logcount_predictions_loss: 0.1744 11/203 [>.............................] - ETA: 2:17 - loss: 23.6866 - logits_profile_predictions_loss: 23.5160 - logcount_predictions_loss: 0.1706 12/203 [>.............................] - ETA: 2:16 - loss: 23.8045 - logits_profile_predictions_loss: 23.6378 - logcount_predictions_loss: 0.1666 13/203 [>.............................] - ETA: 2:15 - loss: 24.1989 - logits_profile_predictions_loss: 24.0339 - logcount_predictions_loss: 0.1650 14/203 [=>............................] - ETA: 2:15 - loss: 24.2442 - logits_profile_predictions_loss: 24.0796 - logcount_predictions_loss: 0.1646 15/203 [=>............................] - ETA: 2:14 - loss: 24.0253 - logits_profile_predictions_loss: 23.8575 - logcount_predictions_loss: 0.1677 16/203 [=>............................] - ETA: 2:13 - loss: 24.1651 - logits_profile_predictions_loss: 23.9973 - logcount_predictions_loss: 0.1678 17/203 [=>............................] - ETA: 2:12 - loss: 24.1527 - logits_profile_predictions_loss: 23.9870 - logcount_predictions_loss: 0.1657 18/203 [=>............................] - ETA: 2:09 - loss: 24.0974 - logits_profile_predictions_loss: 23.9303 - logcount_predictions_loss: 0.1671 19/203 [=>............................] - ETA: 2:09 - loss: 24.1364 - logits_profile_predictions_loss: 23.9655 - logcount_predictions_loss: 0.1709 20/203 [=>............................] - ETA: 2:08 - loss: 24.0930 - logits_profile_predictions_loss: 23.9202 - logcount_predictions_loss: 0.1728 21/203 [==>...........................] - ETA: 2:08 - loss: 24.1002 - logits_profile_predictions_loss: 23.9255 - logcount_predictions_loss: 0.1748 22/203 [==>...........................] - ETA: 2:07 - loss: 24.1654 - logits_profile_predictions_loss: 23.9907 - logcount_predictions_loss: 0.1747 23/203 [==>...........................] - ETA: 2:06 - loss: 24.1381 - logits_profile_predictions_loss: 23.9583 - logcount_predictions_loss: 0.1798 24/203 [==>...........................] - ETA: 2:06 - loss: 24.0640 - logits_profile_predictions_loss: 23.8857 - logcount_predictions_loss: 0.1783 25/203 [==>...........................] - ETA: 2:05 - loss: 24.0868 - logits_profile_predictions_loss: 23.9062 - logcount_predictions_loss: 0.1806 26/203 [==>...........................] - ETA: 2:05 - loss: 24.1205 - logits_profile_predictions_loss: 23.9393 - logcount_predictions_loss: 0.1811 27/203 [==>...........................] - ETA: 2:04 - loss: 24.1252 - logits_profile_predictions_loss: 23.9435 - logcount_predictions_loss: 0.1817 28/203 [===>..........................] - ETA: 2:03 - loss: 24.1205 - logits_profile_predictions_loss: 23.9410 - logcount_predictions_loss: 0.1796 29/203 [===>..........................] - ETA: 2:03 - loss: 24.1566 - logits_profile_predictions_loss: 23.9777 - logcount_predictions_loss: 0.1790 30/203 [===>..........................] - ETA: 2:02 - loss: 24.1886 - logits_profile_predictions_loss: 24.0086 - logcount_predictions_loss: 0.1800 31/203 [===>..........................] - ETA: 2:01 - loss: 24.1840 - logits_profile_predictions_loss: 24.0025 - logcount_predictions_loss: 0.1816 32/203 [===>..........................] - ETA: 2:01 - loss: 24.1540 - logits_profile_predictions_loss: 23.9727 - logcount_predictions_loss: 0.1813 33/203 [===>..........................] - ETA: 2:00 - loss: 24.1607 - logits_profile_predictions_loss: 23.9798 - logcount_predictions_loss: 0.1809 34/203 [====>.........................] - ETA: 2:00 - loss: 24.2434 - logits_profile_predictions_loss: 24.0635 - logcount_predictions_loss: 0.1798 35/203 [====>.........................] - ETA: 1:59 - loss: 24.2160 - logits_profile_predictions_loss: 24.0359 - logcount_predictions_loss: 0.1801 36/203 [====>.........................] - ETA: 1:58 - loss: 24.3419 - logits_profile_predictions_loss: 24.1614 - logcount_predictions_loss: 0.1805 37/203 [====>.........................] - ETA: 1:58 - loss: 24.2988 - logits_profile_predictions_loss: 24.1191 - logcount_predictions_loss: 0.1797 38/203 [====>.........................] - ETA: 1:57 - loss: 24.3019 - logits_profile_predictions_loss: 24.1226 - logcount_predictions_loss: 0.1793 39/203 [====>.........................] - ETA: 1:56 - loss: 24.2450 - logits_profile_predictions_loss: 24.0663 - logcount_predictions_loss: 0.1786 40/203 [====>.........................] - ETA: 1:55 - loss: 24.3324 - logits_profile_predictions_loss: 24.1533 - logcount_predictions_loss: 0.1792 41/203 [=====>........................] - ETA: 1:55 - loss: 24.3393 - logits_profile_predictions_loss: 24.1603 - logcount_predictions_loss: 0.1790 42/203 [=====>........................] - ETA: 1:54 - loss: 24.3724 - logits_profile_predictions_loss: 24.1917 - logcount_predictions_loss: 0.1807 43/203 [=====>........................] - ETA: 1:53 - loss: 24.4047 - logits_profile_predictions_loss: 24.2229 - logcount_predictions_loss: 0.1819 44/203 [=====>........................] - ETA: 1:53 - loss: 24.3533 - logits_profile_predictions_loss: 24.1707 - logcount_predictions_loss: 0.1827 45/203 [=====>........................] - ETA: 1:52 - loss: 24.3442 - logits_profile_predictions_loss: 24.1621 - logcount_predictions_loss: 0.1821 46/203 [=====>........................] - ETA: 1:52 - loss: 24.4078 - logits_profile_predictions_loss: 24.2237 - logcount_predictions_loss: 0.1841 47/203 [=====>........................] - ETA: 1:51 - loss: 24.5161 - logits_profile_predictions_loss: 24.3301 - logcount_predictions_loss: 0.1861 48/203 [======>.......................] - ETA: 1:50 - loss: 24.5127 - logits_profile_predictions_loss: 24.3265 - logcount_predictions_loss: 0.1862 49/203 [======>.......................] - ETA: 1:50 - loss: 24.5242 - logits_profile_predictions_loss: 24.3367 - logcount_predictions_loss: 0.1875 50/203 [======>.......................] - ETA: 1:49 - loss: 24.5715 - logits_profile_predictions_loss: 24.3843 - logcount_predictions_loss: 0.1872 51/203 [======>.......................] - ETA: 1:48 - loss: 24.5681 - logits_profile_predictions_loss: 24.3805 - logcount_predictions_loss: 0.1876 52/203 [======>.......................] - ETA: 1:48 - loss: 24.5647 - logits_profile_predictions_loss: 24.3770 - logcount_predictions_loss: 0.1876 53/203 [======>.......................] - ETA: 1:47 - loss: 24.5967 - logits_profile_predictions_loss: 24.4089 - logcount_predictions_loss: 0.1878 54/203 [======>.......................] - ETA: 1:46 - loss: 24.6004 - logits_profile_predictions_loss: 24.4126 - logcount_predictions_loss: 0.1878 55/203 [=======>......................] - ETA: 1:46 - loss: 24.6188 - logits_profile_predictions_loss: 24.4316 - logcount_predictions_loss: 0.1871 56/203 [=======>......................] - ETA: 1:45 - loss: 24.5705 - logits_profile_predictions_loss: 24.3840 - logcount_predictions_loss: 0.1865 57/203 [=======>......................] - ETA: 1:44 - loss: 24.5673 - logits_profile_predictions_loss: 24.3813 - logcount_predictions_loss: 0.1860 58/203 [=======>......................] - ETA: 1:43 - loss: 24.5553 - logits_profile_predictions_loss: 24.3691 - logcount_predictions_loss: 0.1862 59/203 [=======>......................] - ETA: 1:43 - loss: 24.5714 - logits_profile_predictions_loss: 24.3850 - logcount_predictions_loss: 0.1864 60/203 [=======>......................] - ETA: 1:42 - loss: 24.5526 - logits_profile_predictions_loss: 24.3661 - logcount_predictions_loss: 0.1865 61/203 [========>.....................] - ETA: 1:41 - loss: 24.5384 - logits_profile_predictions_loss: 24.3521 - logcount_predictions_loss: 0.1862 62/203 [========>.....................] - ETA: 1:41 - loss: 24.5467 - logits_profile_predictions_loss: 24.3608 - logcount_predictions_loss: 0.1858 63/203 [========>.....................] - ETA: 1:40 - loss: 24.5202 - logits_profile_predictions_loss: 24.3344 - logcount_predictions_loss: 0.1858 64/203 [========>.....................] - ETA: 1:39 - loss: 24.5199 - logits_profile_predictions_loss: 24.3349 - logcount_predictions_loss: 0.1850 65/203 [========>.....................] - ETA: 1:39 - loss: 24.4995 - logits_profile_predictions_loss: 24.3141 - logcount_predictions_loss: 0.1854 66/203 [========>.....................] - ETA: 1:38 - loss: 24.4983 - logits_profile_predictions_loss: 24.3117 - logcount_predictions_loss: 0.1866 67/203 [========>.....................] - ETA: 1:37 - loss: 24.5438 - logits_profile_predictions_loss: 24.3573 - logcount_predictions_loss: 0.1866 68/203 [=========>....................] - ETA: 1:37 - loss: 24.5549 - logits_profile_predictions_loss: 24.3685 - logcount_predictions_loss: 0.1864 69/203 [=========>....................] - ETA: 1:36 - loss: 24.5297 - logits_profile_predictions_loss: 24.3439 - logcount_predictions_loss: 0.1857 70/203 [=========>....................] - ETA: 1:36 - loss: 24.5103 - logits_profile_predictions_loss: 24.3245 - logcount_predictions_loss: 0.1858 71/203 [=========>....................] - ETA: 1:35 - loss: 24.5030 - logits_profile_predictions_loss: 24.3173 - logcount_predictions_loss: 0.1856 72/203 [=========>....................] - ETA: 1:34 - loss: 24.5243 - logits_profile_predictions_loss: 24.3385 - logcount_predictions_loss: 0.1859 73/203 [=========>....................] - ETA: 1:33 - loss: 24.4952 - logits_profile_predictions_loss: 24.3089 - logcount_predictions_loss: 0.1863 74/203 [=========>....................] - ETA: 1:33 - loss: 24.4817 - logits_profile_predictions_loss: 24.2960 - logcount_predictions_loss: 0.1857 75/203 [==========>...................] - ETA: 1:32 - loss: 24.5004 - logits_profile_predictions_loss: 24.3148 - logcount_predictions_loss: 0.1856 76/203 [==========>...................] - ETA: 1:31 - loss: 24.5098 - logits_profile_predictions_loss: 24.3239 - logcount_predictions_loss: 0.1860 77/203 [==========>...................] - ETA: 1:31 - loss: 24.5113 - logits_profile_predictions_loss: 24.3254 - logcount_predictions_loss: 0.1859 78/203 [==========>...................] - ETA: 1:30 - loss: 24.5360 - logits_profile_predictions_loss: 24.3502 - logcount_predictions_loss: 0.1857 79/203 [==========>...................] - ETA: 1:29 - loss: 24.4919 - logits_profile_predictions_loss: 24.3061 - logcount_predictions_loss: 0.1858 80/203 [==========>...................] - ETA: 1:29 - loss: 24.4695 - logits_profile_predictions_loss: 24.2840 - logcount_predictions_loss: 0.1855 81/203 [==========>...................] - ETA: 1:28 - loss: 24.5041 - logits_profile_predictions_loss: 24.3180 - logcount_predictions_loss: 0.1861 82/203 [===========>..................] - ETA: 1:27 - loss: 24.5280 - logits_profile_predictions_loss: 24.3414 - logcount_predictions_loss: 0.1865 83/203 [===========>..................] - ETA: 1:27 - loss: 24.5378 - logits_profile_predictions_loss: 24.3507 - logcount_predictions_loss: 0.1871 84/203 [===========>..................] - ETA: 1:26 - loss: 24.5178 - logits_profile_predictions_loss: 24.3307 - logcount_predictions_loss: 0.1871 85/203 [===========>..................] - ETA: 1:25 - loss: 24.5536 - logits_profile_predictions_loss: 24.3669 - logcount_predictions_loss: 0.1867 86/203 [===========>..................] - ETA: 1:24 - loss: 24.5761 - logits_profile_predictions_loss: 24.3888 - logcount_predictions_loss: 0.1873 87/203 [===========>..................] - ETA: 1:24 - loss: 24.6048 - logits_profile_predictions_loss: 24.4175 - logcount_predictions_loss: 0.1872 88/203 [============>.................] - ETA: 1:23 - loss: 24.6184 - logits_profile_predictions_loss: 24.4308 - logcount_predictions_loss: 0.1876 89/203 [============>.................] - ETA: 1:22 - loss: 24.6554 - logits_profile_predictions_loss: 24.4676 - logcount_predictions_loss: 0.1878 90/203 [============>.................] - ETA: 1:22 - loss: 24.6645 - logits_profile_predictions_loss: 24.4769 - logcount_predictions_loss: 0.1875 91/203 [============>.................] - ETA: 1:21 - loss: 24.6546 - logits_profile_predictions_loss: 24.4674 - logcount_predictions_loss: 0.1873 92/203 [============>.................] - ETA: 1:20 - loss: 24.6319 - logits_profile_predictions_loss: 24.4447 - logcount_predictions_loss: 0.1872 93/203 [============>.................] - ETA: 1:19 - loss: 24.6186 - logits_profile_predictions_loss: 24.4319 - logcount_predictions_loss: 0.1866 94/203 [============>.................] - ETA: 1:19 - loss: 24.6187 - logits_profile_predictions_loss: 24.4323 - logcount_predictions_loss: 0.1865 95/203 [=============>................] - ETA: 1:18 - loss: 24.6061 - logits_profile_predictions_loss: 24.4193 - logcount_predictions_loss: 0.1868 96/203 [=============>................] - ETA: 1:17 - loss: 24.6154 - logits_profile_predictions_loss: 24.4285 - logcount_predictions_loss: 0.1869 97/203 [=============>................] - ETA: 1:17 - loss: 24.6142 - 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[==============>...............] - ETA: 1:12 - loss: 24.6708 - logits_profile_predictions_loss: 24.4830 - logcount_predictions_loss: 0.1878 105/203 [==============>...............] - ETA: 1:11 - loss: 24.6687 - logits_profile_predictions_loss: 24.4804 - logcount_predictions_loss: 0.1882 106/203 [==============>...............] - ETA: 1:10 - loss: 24.6618 - logits_profile_predictions_loss: 24.4736 - logcount_predictions_loss: 0.1882 107/203 [==============>...............] - ETA: 1:10 - loss: 24.6442 - logits_profile_predictions_loss: 24.4566 - logcount_predictions_loss: 0.1877 108/203 [==============>...............] - ETA: 1:09 - loss: 24.6580 - logits_profile_predictions_loss: 24.4707 - logcount_predictions_loss: 0.1873 109/203 [===============>..............] - ETA: 1:08 - loss: 24.6784 - logits_profile_predictions_loss: 24.4914 - logcount_predictions_loss: 0.1870 110/203 [===============>..............] - ETA: 1:07 - loss: 24.6690 - logits_profile_predictions_loss: 24.4821 - 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[=================>............] - ETA: 57s - loss: 24.6311 - logits_profile_predictions_loss: 24.4448 - logcount_predictions_loss: 0.1863 125/203 [=================>............] - ETA: 57s - loss: 24.6237 - logits_profile_predictions_loss: 24.4375 - logcount_predictions_loss: 0.1862 126/203 [=================>............] - ETA: 56s - loss: 24.6234 - logits_profile_predictions_loss: 24.4368 - logcount_predictions_loss: 0.1865 127/203 [=================>............] - ETA: 55s - loss: 24.6305 - logits_profile_predictions_loss: 24.4440 - logcount_predictions_loss: 0.1865 128/203 [=================>............] - ETA: 54s - loss: 24.6232 - logits_profile_predictions_loss: 24.4368 - logcount_predictions_loss: 0.1863 129/203 [==================>...........] - ETA: 54s - loss: 24.6157 - logits_profile_predictions_loss: 24.4294 - logcount_predictions_loss: 0.1863 130/203 [==================>...........] - ETA: 53s - loss: 24.6014 - logits_profile_predictions_loss: 24.4157 - 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- ETA: 43s - loss: 24.5560 - logits_profile_predictions_loss: 24.3714 - logcount_predictions_loss: 0.1846 145/203 [====================>.........] - ETA: 42s - loss: 24.5533 - logits_profile_predictions_loss: 24.3683 - logcount_predictions_loss: 0.1850 146/203 [====================>.........] - ETA: 41s - loss: 24.5621 - logits_profile_predictions_loss: 24.3770 - logcount_predictions_loss: 0.1850 147/203 [====================>.........] - ETA: 41s - loss: 24.5601 - logits_profile_predictions_loss: 24.3751 - logcount_predictions_loss: 0.1850 148/203 [====================>.........] - ETA: 40s - loss: 24.5444 - logits_profile_predictions_loss: 24.3598 - logcount_predictions_loss: 0.1846 149/203 [=====================>........] - ETA: 39s - loss: 24.5411 - logits_profile_predictions_loss: 24.3570 - logcount_predictions_loss: 0.1841 150/203 [=====================>........] - ETA: 38s - loss: 24.5437 - logits_profile_predictions_loss: 24.3595 - logcount_predictions_loss: 0.1842 151/203 [=====================>........] - ETA: 38s - loss: 24.5587 - logits_profile_predictions_loss: 24.3746 - logcount_predictions_loss: 0.1840 152/203 [=====================>........] - ETA: 37s - loss: 24.5668 - logits_profile_predictions_loss: 24.3826 - logcount_predictions_loss: 0.1843 153/203 [=====================>........] - ETA: 36s - loss: 24.5642 - logits_profile_predictions_loss: 24.3801 - logcount_predictions_loss: 0.1841 154/203 [=====================>........] - ETA: 35s - loss: 24.5620 - logits_profile_predictions_loss: 24.3782 - logcount_predictions_loss: 0.1838 155/203 [=====================>........] - ETA: 35s - loss: 24.5631 - logits_profile_predictions_loss: 24.3796 - logcount_predictions_loss: 0.1835 156/203 [======================>.......] - ETA: 34s - loss: 24.5772 - logits_profile_predictions_loss: 24.3936 - logcount_predictions_loss: 0.1836 157/203 [======================>.......] - ETA: 33s - loss: 24.5762 - logits_profile_predictions_loss: 24.3931 - 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logits_profile_predictions_loss: 24.4404 - logcount_predictions_loss: 0.1843 165/203 [=======================>......] - ETA: 27s - loss: 24.6107 - logits_profile_predictions_loss: 24.4264 - logcount_predictions_loss: 0.1843 166/203 [=======================>......] - ETA: 27s - loss: 24.6159 - logits_profile_predictions_loss: 24.4314 - logcount_predictions_loss: 0.1845 167/203 [=======================>......] - ETA: 26s - loss: 24.6258 - logits_profile_predictions_loss: 24.4408 - logcount_predictions_loss: 0.1850 168/203 [=======================>......] - ETA: 25s - loss: 24.6277 - logits_profile_predictions_loss: 24.4427 - logcount_predictions_loss: 0.1850 169/203 [=======================>......] - ETA: 25s - loss: 24.6325 - logits_profile_predictions_loss: 24.4474 - logcount_predictions_loss: 0.1851 170/203 [========================>.....] - ETA: 24s - loss: 24.6262 - logits_profile_predictions_loss: 24.4406 - logcount_predictions_loss: 0.1856 171/203 [========================>.....] - ETA: 23s - loss: 24.6204 - logits_profile_predictions_loss: 24.4346 - logcount_predictions_loss: 0.1858 172/203 [========================>.....] - ETA: 22s - loss: 24.6377 - logits_profile_predictions_loss: 24.4518 - logcount_predictions_loss: 0.1859 173/203 [========================>.....] - ETA: 22s - loss: 24.6425 - logits_profile_predictions_loss: 24.4568 - logcount_predictions_loss: 0.1857 174/203 [========================>.....] - ETA: 21s - loss: 24.6390 - logits_profile_predictions_loss: 24.4533 - logcount_predictions_loss: 0.1856 175/203 [========================>.....] - ETA: 20s - loss: 24.6314 - logits_profile_predictions_loss: 24.4457 - logcount_predictions_loss: 0.1857 176/203 [=========================>....] - ETA: 19s - loss: 24.6169 - logits_profile_predictions_loss: 24.4314 - logcount_predictions_loss: 0.1854 177/203 [=========================>....] - ETA: 19s - loss: 24.6120 - logits_profile_predictions_loss: 24.4264 - logcount_predictions_loss: 0.1856 178/203 [=========================>....] - ETA: 18s - loss: 24.6117 - logits_profile_predictions_loss: 24.4263 - logcount_predictions_loss: 0.1855 179/203 [=========================>....] - ETA: 17s - loss: 24.6245 - logits_profile_predictions_loss: 24.4389 - logcount_predictions_loss: 0.1856 180/203 [=========================>....] - ETA: 16s - loss: 24.6333 - logits_profile_predictions_loss: 24.4477 - logcount_predictions_loss: 0.1856 181/203 [=========================>....] - ETA: 16s - loss: 24.6525 - logits_profile_predictions_loss: 24.4667 - logcount_predictions_loss: 0.1858 182/203 [=========================>....] - ETA: 15s - loss: 24.6537 - logits_profile_predictions_loss: 24.4676 - logcount_predictions_loss: 0.1861 183/203 [==========================>...] - ETA: 14s - loss: 24.6588 - logits_profile_predictions_loss: 24.4728 - logcount_predictions_loss: 0.1860 184/203 [==========================>...] - ETA: 14s - loss: 24.6533 - logits_profile_predictions_loss: 24.4674 - logcount_predictions_loss: 0.1859 185/203 [==========================>...] - ETA: 13s - loss: 24.6367 - logits_profile_predictions_loss: 24.4504 - logcount_predictions_loss: 0.1863 186/203 [==========================>...] - ETA: 12s - loss: 24.6312 - logits_profile_predictions_loss: 24.4448 - logcount_predictions_loss: 0.1864 187/203 [==========================>...] - ETA: 11s - loss: 24.6327 - logits_profile_predictions_loss: 24.4464 - logcount_predictions_loss: 0.1863 188/203 [==========================>...] - ETA: 11s - loss: 24.6296 - logits_profile_predictions_loss: 24.4430 - logcount_predictions_loss: 0.1865 189/203 [==========================>...] - ETA: 10s - loss: 24.6269 - logits_profile_predictions_loss: 24.4405 - logcount_predictions_loss: 0.1865 190/203 [===========================>..] - ETA: 9s - loss: 24.6394 - logits_profile_predictions_loss: 24.4530 - logcount_predictions_loss: 0.1864  191/203 [===========================>..] - ETA: 8s - loss: 24.6350 - logits_profile_predictions_loss: 24.4486 - logcount_predictions_loss: 0.1864 192/203 [===========================>..] - ETA: 8s - loss: 24.6293 - logits_profile_predictions_loss: 24.4428 - logcount_predictions_loss: 0.1865 193/203 [===========================>..] - ETA: 7s - loss: 24.6332 - logits_profile_predictions_loss: 24.4470 - logcount_predictions_loss: 0.1862 194/203 [===========================>..] - ETA: 6s - loss: 24.6286 - logits_profile_predictions_loss: 24.4427 - logcount_predictions_loss: 0.1859 195/203 [===========================>..] - ETA: 5s - loss: 24.6369 - logits_profile_predictions_loss: 24.4508 - logcount_predictions_loss: 0.1861 196/203 [===========================>..] - ETA: 5s - loss: 24.6196 - logits_profile_predictions_loss: 24.4338 - logcount_predictions_loss: 0.1858 197/203 [============================>.] - ETA: 4s - loss: 24.6330 - logits_profile_predictions_loss: 24.4471 - logcount_predictions_loss: 0.1859 198/203 [============================>.] - ETA: 3s - loss: 24.6263 - logits_profile_predictions_loss: 24.4403 - logcount_predictions_loss: 0.1860 199/203 [============================>.] - ETA: 2s - loss: 24.6378 - logits_profile_predictions_loss: 24.4517 - logcount_predictions_loss: 0.1861 200/203 [============================>.] - ETA: 2s - loss: 24.6251 - logits_profile_predictions_loss: 24.4390 - logcount_predictions_loss: 0.1860 201/203 [============================>.] - ETA: 1s - loss: 24.6389 - logits_profile_predictions_loss: 24.4529 - logcount_predictions_loss: 0.1860 202/203 [============================>.] - ETA: 0s - loss: 24.6357 - logits_profile_predictions_loss: 24.4497 - logcount_predictions_loss: 0.1860 203/203 [==============================] - ETA: 0s - loss: 24.6360 - logits_profile_predictions_loss: 24.4500 - logcount_predictions_loss: 0.1860 Epoch 8: val_loss did not improve from 27.42717  203/203 [==============================] - 160s 790ms/step - loss: 24.6360 - logits_profile_predictions_loss: 24.4500 - logcount_predictions_loss: 0.1860 - val_loss: 27.5325 - val_logits_profile_predictions_loss: 27.3646 - val_logcount_predictions_loss: 0.1679 Epoch 9/50 1/203 [..............................] - ETA: 2:28 - loss: 25.4310 - logits_profile_predictions_loss: 25.1796 - logcount_predictions_loss: 0.2514 2/203 [..............................] - ETA: 2:22 - loss: 23.0543 - logits_profile_predictions_loss: 22.8602 - logcount_predictions_loss: 0.1941 3/203 [..............................] - ETA: 2:22 - loss: 23.4125 - logits_profile_predictions_loss: 23.2103 - logcount_predictions_loss: 0.2022 4/203 [..............................] - ETA: 2:21 - loss: 23.7215 - logits_profile_predictions_loss: 23.5111 - logcount_predictions_loss: 0.2104 5/203 [..............................] - ETA: 2:21 - loss: 24.0016 - logits_profile_predictions_loss: 23.7886 - logcount_predictions_loss: 0.2130 6/203 [..............................] - ETA: 2:20 - loss: 24.2371 - logits_profile_predictions_loss: 24.0225 - logcount_predictions_loss: 0.2146 7/203 [>.............................] - ETA: 2:19 - loss: 24.2709 - logits_profile_predictions_loss: 24.0560 - logcount_predictions_loss: 0.2149 8/203 [>.............................] - ETA: 2:19 - loss: 24.2401 - logits_profile_predictions_loss: 24.0355 - logcount_predictions_loss: 0.2046 9/203 [>.............................] - ETA: 2:18 - loss: 24.1658 - logits_profile_predictions_loss: 23.9707 - logcount_predictions_loss: 0.1951 10/203 [>.............................] - ETA: 2:17 - loss: 24.1101 - logits_profile_predictions_loss: 23.9105 - logcount_predictions_loss: 0.1996 11/203 [>.............................] - ETA: 2:16 - loss: 24.1526 - logits_profile_predictions_loss: 23.9614 - logcount_predictions_loss: 0.1913 12/203 [>.............................] - ETA: 2:16 - loss: 24.1240 - logits_profile_predictions_loss: 23.9297 - logcount_predictions_loss: 0.1943 13/203 [>.............................] - ETA: 2:15 - loss: 24.1747 - logits_profile_predictions_loss: 23.9845 - logcount_predictions_loss: 0.1901 14/203 [=>............................] - ETA: 2:15 - loss: 24.0940 - logits_profile_predictions_loss: 23.9019 - logcount_predictions_loss: 0.1920 15/203 [=>............................] - ETA: 2:14 - loss: 24.1143 - logits_profile_predictions_loss: 23.9221 - logcount_predictions_loss: 0.1922 16/203 [=>............................] - ETA: 2:13 - loss: 24.0809 - logits_profile_predictions_loss: 23.8897 - logcount_predictions_loss: 0.1912 17/203 [=>............................] - ETA: 2:12 - loss: 24.0213 - logits_profile_predictions_loss: 23.8331 - logcount_predictions_loss: 0.1882 18/203 [=>............................] - ETA: 2:12 - loss: 24.0136 - logits_profile_predictions_loss: 23.8246 - logcount_predictions_loss: 0.1890 19/203 [=>............................] - ETA: 2:11 - loss: 24.0235 - logits_profile_predictions_loss: 23.8337 - logcount_predictions_loss: 0.1899 20/203 [=>............................] - ETA: 2:10 - loss: 23.9577 - logits_profile_predictions_loss: 23.7695 - logcount_predictions_loss: 0.1882 21/203 [==>...........................] - ETA: 2:10 - loss: 23.9237 - logits_profile_predictions_loss: 23.7337 - logcount_predictions_loss: 0.1900 22/203 [==>...........................] - ETA: 2:09 - loss: 23.9186 - logits_profile_predictions_loss: 23.7286 - logcount_predictions_loss: 0.1900 23/203 [==>...........................] - ETA: 2:08 - loss: 23.9278 - logits_profile_predictions_loss: 23.7396 - logcount_predictions_loss: 0.1882 24/203 [==>...........................] - ETA: 2:08 - loss: 23.9518 - logits_profile_predictions_loss: 23.7658 - logcount_predictions_loss: 0.1861 25/203 [==>...........................] - ETA: 2:07 - loss: 23.9180 - logits_profile_predictions_loss: 23.7310 - logcount_predictions_loss: 0.1870 26/203 [==>...........................] - ETA: 2:06 - loss: 23.8712 - logits_profile_predictions_loss: 23.6849 - logcount_predictions_loss: 0.1863 27/203 [==>...........................] - ETA: 2:06 - loss: 23.9783 - logits_profile_predictions_loss: 23.7929 - logcount_predictions_loss: 0.1855 28/203 [===>..........................] - ETA: 2:05 - loss: 24.0105 - logits_profile_predictions_loss: 23.8247 - logcount_predictions_loss: 0.1858 29/203 [===>..........................] - ETA: 2:04 - loss: 24.1357 - logits_profile_predictions_loss: 23.9507 - logcount_predictions_loss: 0.1850 30/203 [===>..........................] - ETA: 2:04 - loss: 24.1798 - logits_profile_predictions_loss: 23.9933 - logcount_predictions_loss: 0.1865 31/203 [===>..........................] - ETA: 2:03 - loss: 24.1703 - logits_profile_predictions_loss: 23.9843 - logcount_predictions_loss: 0.1860 32/203 [===>..........................] - ETA: 2:02 - loss: 24.1842 - logits_profile_predictions_loss: 23.9997 - logcount_predictions_loss: 0.1846 33/203 [===>..........................] - ETA: 2:02 - loss: 24.1406 - logits_profile_predictions_loss: 23.9566 - logcount_predictions_loss: 0.1840 34/203 [====>.........................] - ETA: 2:01 - loss: 24.1478 - logits_profile_predictions_loss: 23.9634 - logcount_predictions_loss: 0.1844 35/203 [====>.........................] - ETA: 2:00 - loss: 24.1626 - logits_profile_predictions_loss: 23.9788 - logcount_predictions_loss: 0.1838 36/203 [====>.........................] - ETA: 1:59 - loss: 24.1964 - logits_profile_predictions_loss: 24.0118 - logcount_predictions_loss: 0.1846 37/203 [====>.........................] - ETA: 1:59 - loss: 24.1763 - logits_profile_predictions_loss: 23.9934 - logcount_predictions_loss: 0.1829 38/203 [====>.........................] - ETA: 1:58 - loss: 24.1797 - logits_profile_predictions_loss: 23.9971 - logcount_predictions_loss: 0.1826 39/203 [====>.........................] - ETA: 1:57 - loss: 24.1530 - logits_profile_predictions_loss: 23.9693 - logcount_predictions_loss: 0.1837 40/203 [====>.........................] - ETA: 1:56 - loss: 24.1438 - logits_profile_predictions_loss: 23.9601 - logcount_predictions_loss: 0.1836 41/203 [=====>........................] - ETA: 1:55 - loss: 24.1241 - logits_profile_predictions_loss: 23.9406 - logcount_predictions_loss: 0.1834 42/203 [=====>........................] - ETA: 1:54 - loss: 24.1167 - logits_profile_predictions_loss: 23.9336 - logcount_predictions_loss: 0.1831 43/203 [=====>........................] - ETA: 1:54 - loss: 24.1069 - logits_profile_predictions_loss: 23.9225 - logcount_predictions_loss: 0.1845 44/203 [=====>........................] - ETA: 1:53 - loss: 24.1104 - logits_profile_predictions_loss: 23.9268 - logcount_predictions_loss: 0.1836 45/203 [=====>........................] - ETA: 1:52 - loss: 24.1781 - logits_profile_predictions_loss: 23.9935 - logcount_predictions_loss: 0.1846 46/203 [=====>........................] - ETA: 1:52 - loss: 24.1727 - logits_profile_predictions_loss: 23.9879 - logcount_predictions_loss: 0.1848 47/203 [=====>........................] - ETA: 1:51 - loss: 24.1307 - logits_profile_predictions_loss: 23.9463 - logcount_predictions_loss: 0.1844 48/203 [======>.......................] - ETA: 1:50 - loss: 24.1532 - logits_profile_predictions_loss: 23.9689 - logcount_predictions_loss: 0.1844 49/203 [======>.......................] - ETA: 1:50 - loss: 24.2121 - logits_profile_predictions_loss: 24.0275 - logcount_predictions_loss: 0.1846 50/203 [======>.......................] - ETA: 1:49 - loss: 24.1762 - logits_profile_predictions_loss: 23.9926 - logcount_predictions_loss: 0.1836 51/203 [======>.......................] - ETA: 1:48 - loss: 24.2027 - logits_profile_predictions_loss: 24.0200 - logcount_predictions_loss: 0.1827 52/203 [======>.......................] - ETA: 1:48 - loss: 24.2227 - logits_profile_predictions_loss: 24.0417 - logcount_predictions_loss: 0.1810 53/203 [======>.......................] - ETA: 1:47 - loss: 24.2182 - logits_profile_predictions_loss: 24.0377 - logcount_predictions_loss: 0.1804 54/203 [======>.......................] - ETA: 1:46 - loss: 24.2416 - logits_profile_predictions_loss: 24.0623 - logcount_predictions_loss: 0.1793 55/203 [=======>......................] - ETA: 1:46 - loss: 24.2841 - logits_profile_predictions_loss: 24.1053 - logcount_predictions_loss: 0.1789 56/203 [=======>......................] - ETA: 1:45 - loss: 24.3043 - logits_profile_predictions_loss: 24.1250 - logcount_predictions_loss: 0.1794 57/203 [=======>......................] - ETA: 1:44 - loss: 24.2976 - logits_profile_predictions_loss: 24.1186 - logcount_predictions_loss: 0.1790 58/203 [=======>......................] - ETA: 1:44 - loss: 24.2995 - logits_profile_predictions_loss: 24.1186 - logcount_predictions_loss: 0.1809 59/203 [=======>......................] - ETA: 1:43 - loss: 24.2766 - logits_profile_predictions_loss: 24.0961 - logcount_predictions_loss: 0.1805 60/203 [=======>......................] - ETA: 1:42 - loss: 24.2873 - logits_profile_predictions_loss: 24.1075 - logcount_predictions_loss: 0.1799 61/203 [========>.....................] - ETA: 1:41 - loss: 24.2514 - logits_profile_predictions_loss: 24.0716 - logcount_predictions_loss: 0.1798 62/203 [========>.....................] - ETA: 1:41 - loss: 24.2185 - logits_profile_predictions_loss: 24.0391 - logcount_predictions_loss: 0.1794 63/203 [========>.....................] - ETA: 1:40 - loss: 24.2224 - logits_profile_predictions_loss: 24.0434 - logcount_predictions_loss: 0.1789 64/203 [========>.....................] - ETA: 1:40 - loss: 24.2604 - logits_profile_predictions_loss: 24.0807 - logcount_predictions_loss: 0.1797 65/203 [========>.....................] - ETA: 1:39 - loss: 24.2876 - logits_profile_predictions_loss: 24.1073 - logcount_predictions_loss: 0.1803 66/203 [========>.....................] - ETA: 1:38 - loss: 24.3017 - logits_profile_predictions_loss: 24.1210 - logcount_predictions_loss: 0.1807 67/203 [========>.....................] - ETA: 1:37 - loss: 24.2847 - logits_profile_predictions_loss: 24.1043 - logcount_predictions_loss: 0.1804 68/203 [=========>....................] - ETA: 1:37 - loss: 24.2690 - logits_profile_predictions_loss: 24.0884 - logcount_predictions_loss: 0.1806 69/203 [=========>....................] - ETA: 1:36 - loss: 24.2515 - logits_profile_predictions_loss: 24.0707 - logcount_predictions_loss: 0.1808 70/203 [=========>....................] - ETA: 1:36 - loss: 24.2172 - logits_profile_predictions_loss: 24.0373 - logcount_predictions_loss: 0.1799 71/203 [=========>....................] - ETA: 1:35 - loss: 24.2241 - logits_profile_predictions_loss: 24.0437 - logcount_predictions_loss: 0.1805 72/203 [=========>....................] - ETA: 1:34 - loss: 24.2299 - logits_profile_predictions_loss: 24.0500 - logcount_predictions_loss: 0.1799 73/203 [=========>....................] - ETA: 1:34 - loss: 24.2520 - logits_profile_predictions_loss: 24.0720 - logcount_predictions_loss: 0.1800 74/203 [=========>....................] - ETA: 1:33 - loss: 24.2848 - logits_profile_predictions_loss: 24.1041 - logcount_predictions_loss: 0.1808 75/203 [==========>...................] - ETA: 1:32 - loss: 24.3127 - logits_profile_predictions_loss: 24.1315 - logcount_predictions_loss: 0.1812 76/203 [==========>...................] - ETA: 1:32 - loss: 24.3048 - logits_profile_predictions_loss: 24.1243 - logcount_predictions_loss: 0.1805 77/203 [==========>...................] - ETA: 1:31 - loss: 24.3258 - logits_profile_predictions_loss: 24.1460 - logcount_predictions_loss: 0.1797 78/203 [==========>...................] - ETA: 1:30 - loss: 24.3341 - logits_profile_predictions_loss: 24.1534 - logcount_predictions_loss: 0.1806 79/203 [==========>...................] - ETA: 1:30 - loss: 24.3404 - logits_profile_predictions_loss: 24.1602 - logcount_predictions_loss: 0.1802 80/203 [==========>...................] - ETA: 1:29 - loss: 24.3282 - logits_profile_predictions_loss: 24.1479 - logcount_predictions_loss: 0.1804 81/203 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- ETA: 55s - loss: 24.2868 - logits_profile_predictions_loss: 24.1069 - logcount_predictions_loss: 0.1798 129/203 [==================>...........] - ETA: 54s - loss: 24.2925 - logits_profile_predictions_loss: 24.1128 - logcount_predictions_loss: 0.1797 130/203 [==================>...........] - ETA: 53s - loss: 24.2807 - logits_profile_predictions_loss: 24.1012 - logcount_predictions_loss: 0.1795 131/203 [==================>...........] - ETA: 52s - loss: 24.2817 - logits_profile_predictions_loss: 24.1020 - logcount_predictions_loss: 0.1796 132/203 [==================>...........] - ETA: 52s - loss: 24.2901 - logits_profile_predictions_loss: 24.1105 - logcount_predictions_loss: 0.1796 133/203 [==================>...........] - ETA: 51s - loss: 24.3096 - logits_profile_predictions_loss: 24.1300 - logcount_predictions_loss: 0.1796 134/203 [==================>...........] - ETA: 50s - loss: 24.3224 - logits_profile_predictions_loss: 24.1429 - logcount_predictions_loss: 0.1795 135/203 [==================>...........] - ETA: 50s - loss: 24.3072 - logits_profile_predictions_loss: 24.1276 - logcount_predictions_loss: 0.1796 136/203 [===================>..........] - ETA: 49s - loss: 24.3118 - logits_profile_predictions_loss: 24.1323 - logcount_predictions_loss: 0.1795 137/203 [===================>..........] - ETA: 48s - loss: 24.3005 - logits_profile_predictions_loss: 24.1216 - logcount_predictions_loss: 0.1789 138/203 [===================>..........] - ETA: 47s - loss: 24.3090 - logits_profile_predictions_loss: 24.1300 - logcount_predictions_loss: 0.1790 139/203 [===================>..........] - ETA: 47s - loss: 24.2901 - logits_profile_predictions_loss: 24.1113 - logcount_predictions_loss: 0.1788 140/203 [===================>..........] - ETA: 46s - loss: 24.2987 - logits_profile_predictions_loss: 24.1197 - logcount_predictions_loss: 0.1789 141/203 [===================>..........] - ETA: 45s - loss: 24.3013 - logits_profile_predictions_loss: 24.1218 - 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- ETA: 35s - loss: 24.3460 - logits_profile_predictions_loss: 24.1660 - logcount_predictions_loss: 0.1801 156/203 [======================>.......] - ETA: 34s - loss: 24.3439 - logits_profile_predictions_loss: 24.1640 - logcount_predictions_loss: 0.1799 157/203 [======================>.......] - ETA: 34s - loss: 24.3458 - logits_profile_predictions_loss: 24.1662 - logcount_predictions_loss: 0.1795 158/203 [======================>.......] - ETA: 33s - loss: 24.3294 - logits_profile_predictions_loss: 24.1499 - logcount_predictions_loss: 0.1795 159/203 [======================>.......] - ETA: 32s - loss: 24.3291 - logits_profile_predictions_loss: 24.1501 - logcount_predictions_loss: 0.1790 160/203 [======================>.......] - ETA: 31s - loss: 24.3240 - logits_profile_predictions_loss: 24.1452 - logcount_predictions_loss: 0.1788 161/203 [======================>.......] - ETA: 31s - loss: 24.3230 - logits_profile_predictions_loss: 24.1443 - logcount_predictions_loss: 0.1787 162/203 [======================>.......] - ETA: 30s - loss: 24.3322 - logits_profile_predictions_loss: 24.1534 - logcount_predictions_loss: 0.1788 163/203 [=======================>......] - ETA: 29s - loss: 24.3355 - logits_profile_predictions_loss: 24.1565 - logcount_predictions_loss: 0.1790 164/203 [=======================>......] - ETA: 28s - loss: 24.3217 - logits_profile_predictions_loss: 24.1428 - logcount_predictions_loss: 0.1789 165/203 [=======================>......] - ETA: 28s - loss: 24.3402 - logits_profile_predictions_loss: 24.1614 - logcount_predictions_loss: 0.1788 166/203 [=======================>......] - ETA: 27s - loss: 24.3563 - logits_profile_predictions_loss: 24.1778 - logcount_predictions_loss: 0.1785 167/203 [=======================>......] - ETA: 26s - loss: 24.3579 - logits_profile_predictions_loss: 24.1799 - logcount_predictions_loss: 0.1780 168/203 [=======================>......] - ETA: 25s - loss: 24.3614 - logits_profile_predictions_loss: 24.1831 - 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- ETA: 15s - loss: 24.3497 - logits_profile_predictions_loss: 24.1718 - logcount_predictions_loss: 0.1779 183/203 [==========================>...] - ETA: 14s - loss: 24.3647 - logits_profile_predictions_loss: 24.1868 - logcount_predictions_loss: 0.1779 184/203 [==========================>...] - ETA: 14s - loss: 24.3719 - logits_profile_predictions_loss: 24.1939 - logcount_predictions_loss: 0.1780 185/203 [==========================>...] - ETA: 13s - loss: 24.3692 - logits_profile_predictions_loss: 24.1914 - logcount_predictions_loss: 0.1779 186/203 [==========================>...] - ETA: 12s - loss: 24.3739 - logits_profile_predictions_loss: 24.1964 - logcount_predictions_loss: 0.1775 187/203 [==========================>...] - ETA: 11s - loss: 24.3682 - logits_profile_predictions_loss: 24.1906 - logcount_predictions_loss: 0.1776 188/203 [==========================>...] - ETA: 11s - loss: 24.3698 - logits_profile_predictions_loss: 24.1923 - logcount_predictions_loss: 0.1775 189/203 [==========================>...] - ETA: 10s - loss: 24.3706 - logits_profile_predictions_loss: 24.1935 - logcount_predictions_loss: 0.1771 190/203 [===========================>..] - ETA: 9s - loss: 24.3680 - logits_profile_predictions_loss: 24.1907 - logcount_predictions_loss: 0.1773  191/203 [===========================>..] - ETA: 8s - loss: 24.3632 - logits_profile_predictions_loss: 24.1859 - logcount_predictions_loss: 0.1773 192/203 [===========================>..] - ETA: 8s - loss: 24.3720 - logits_profile_predictions_loss: 24.1949 - logcount_predictions_loss: 0.1771 193/203 [===========================>..] - ETA: 7s - loss: 24.3733 - logits_profile_predictions_loss: 24.1963 - logcount_predictions_loss: 0.1770 194/203 [===========================>..] - ETA: 6s - loss: 24.3817 - logits_profile_predictions_loss: 24.2044 - logcount_predictions_loss: 0.1773 195/203 [===========================>..] - ETA: 5s - loss: 24.3880 - logits_profile_predictions_loss: 24.2107 - logcount_predictions_loss: 0.1773 196/203 [===========================>..] - ETA: 5s - loss: 24.3919 - logits_profile_predictions_loss: 24.2142 - logcount_predictions_loss: 0.1776 197/203 [============================>.] - ETA: 4s - loss: 24.3811 - logits_profile_predictions_loss: 24.2035 - logcount_predictions_loss: 0.1777 198/203 [============================>.] - ETA: 3s - loss: 24.3886 - logits_profile_predictions_loss: 24.2110 - logcount_predictions_loss: 0.1775 199/203 [============================>.] - ETA: 2s - loss: 24.3978 - logits_profile_predictions_loss: 24.2203 - logcount_predictions_loss: 0.1776 200/203 [============================>.] - ETA: 2s - loss: 24.3930 - logits_profile_predictions_loss: 24.2155 - logcount_predictions_loss: 0.1774 201/203 [============================>.] - ETA: 1s - loss: 24.3962 - logits_profile_predictions_loss: 24.2188 - logcount_predictions_loss: 0.1774 202/203 [============================>.] - ETA: 0s - loss: 24.3895 - logits_profile_predictions_loss: 24.2122 - logcount_predictions_loss: 0.1773 203/203 [==============================] - ETA: 0s - loss: 24.3951 - logits_profile_predictions_loss: 24.2178 - logcount_predictions_loss: 0.1773 Epoch 9: val_loss did not improve from 27.42717  203/203 [==============================] - 161s 792ms/step - loss: 24.3951 - logits_profile_predictions_loss: 24.2178 - logcount_predictions_loss: 0.1773 - val_loss: 27.5326 - val_logits_profile_predictions_loss: 27.3592 - val_logcount_predictions_loss: 0.1735 Epoch 10/50 1/203 [..............................] - ETA: 2:26 - loss: 23.5685 - logits_profile_predictions_loss: 23.4235 - logcount_predictions_loss: 0.1450 2/203 [..............................] - ETA: 2:23 - loss: 24.1101 - logits_profile_predictions_loss: 23.9303 - logcount_predictions_loss: 0.1797 3/203 [..............................] - ETA: 2:22 - loss: 24.8863 - logits_profile_predictions_loss: 24.6888 - logcount_predictions_loss: 0.1975 4/203 [..............................] - ETA: 2:22 - loss: 24.3111 - logits_profile_predictions_loss: 24.1205 - logcount_predictions_loss: 0.1906 5/203 [..............................] - ETA: 2:21 - loss: 24.0574 - logits_profile_predictions_loss: 23.8700 - logcount_predictions_loss: 0.1874 6/203 [..............................] - ETA: 2:20 - loss: 23.7714 - logits_profile_predictions_loss: 23.5903 - logcount_predictions_loss: 0.1811 7/203 [>.............................] - ETA: 2:20 - loss: 23.4126 - logits_profile_predictions_loss: 23.2366 - logcount_predictions_loss: 0.1761 8/203 [>.............................] - ETA: 2:20 - loss: 23.2821 - logits_profile_predictions_loss: 23.1071 - logcount_predictions_loss: 0.1749 9/203 [>.............................] - ETA: 2:19 - loss: 23.1410 - logits_profile_predictions_loss: 22.9642 - logcount_predictions_loss: 0.1768 10/203 [>.............................] - ETA: 2:18 - loss: 23.3548 - logits_profile_predictions_loss: 23.1767 - logcount_predictions_loss: 0.1782 11/203 [>.............................] - ETA: 2:17 - loss: 23.4004 - logits_profile_predictions_loss: 23.2206 - logcount_predictions_loss: 0.1798 12/203 [>.............................] - ETA: 2:17 - loss: 23.3956 - logits_profile_predictions_loss: 23.2168 - logcount_predictions_loss: 0.1788 13/203 [>.............................] - ETA: 2:16 - loss: 23.4561 - logits_profile_predictions_loss: 23.2776 - logcount_predictions_loss: 0.1785 14/203 [=>............................] - ETA: 2:15 - loss: 23.3408 - logits_profile_predictions_loss: 23.1671 - logcount_predictions_loss: 0.1738 15/203 [=>............................] - ETA: 2:14 - loss: 23.3645 - logits_profile_predictions_loss: 23.1891 - logcount_predictions_loss: 0.1754 16/203 [=>............................] - ETA: 2:14 - loss: 23.5456 - logits_profile_predictions_loss: 23.3697 - logcount_predictions_loss: 0.1759 17/203 [=>............................] - ETA: 2:13 - loss: 23.4277 - logits_profile_predictions_loss: 23.2527 - logcount_predictions_loss: 0.1750 18/203 [=>............................] - ETA: 2:12 - loss: 23.4338 - logits_profile_predictions_loss: 23.2585 - logcount_predictions_loss: 0.1753 19/203 [=>............................] - ETA: 2:12 - loss: 23.4994 - logits_profile_predictions_loss: 23.3237 - logcount_predictions_loss: 0.1757 20/203 [=>............................] - ETA: 2:11 - loss: 23.5763 - logits_profile_predictions_loss: 23.3998 - logcount_predictions_loss: 0.1765 21/203 [==>...........................] - ETA: 2:10 - loss: 23.4697 - logits_profile_predictions_loss: 23.2927 - logcount_predictions_loss: 0.1770 22/203 [==>...........................] - ETA: 2:09 - loss: 23.4916 - logits_profile_predictions_loss: 23.3146 - logcount_predictions_loss: 0.1770 23/203 [==>...........................] - ETA: 2:09 - loss: 23.5883 - logits_profile_predictions_loss: 23.4134 - logcount_predictions_loss: 0.1750 24/203 [==>...........................] - 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logcount_predictions_loss: 0.1746 186/203 [==========================>...] - ETA: 12s - loss: 24.0829 - logits_profile_predictions_loss: 23.9085 - logcount_predictions_loss: 0.1744 187/203 [==========================>...] - ETA: 11s - loss: 24.0993 - logits_profile_predictions_loss: 23.9247 - logcount_predictions_loss: 0.1746 188/203 [==========================>...] - ETA: 11s - loss: 24.1013 - logits_profile_predictions_loss: 23.9267 - logcount_predictions_loss: 0.1747 189/203 [==========================>...] - ETA: 10s - loss: 24.0982 - logits_profile_predictions_loss: 23.9236 - logcount_predictions_loss: 0.1746 190/203 [===========================>..] - ETA: 9s - loss: 24.1084 - logits_profile_predictions_loss: 23.9341 - logcount_predictions_loss: 0.1744  191/203 [===========================>..] - ETA: 8s - loss: 24.1057 - logits_profile_predictions_loss: 23.9317 - logcount_predictions_loss: 0.1740 192/203 [===========================>..] - ETA: 8s - loss: 24.1025 - logits_profile_predictions_loss: 23.9286 - logcount_predictions_loss: 0.1739 193/203 [===========================>..] - ETA: 7s - loss: 24.1203 - logits_profile_predictions_loss: 23.9464 - logcount_predictions_loss: 0.1739 194/203 [===========================>..] - ETA: 6s - loss: 24.1141 - logits_profile_predictions_loss: 23.9402 - logcount_predictions_loss: 0.1739 195/203 [===========================>..] - ETA: 5s - loss: 24.1231 - logits_profile_predictions_loss: 23.9492 - logcount_predictions_loss: 0.1739 196/203 [===========================>..] - ETA: 5s - loss: 24.1238 - logits_profile_predictions_loss: 23.9500 - logcount_predictions_loss: 0.1738 197/203 [============================>.] - ETA: 4s - loss: 24.1164 - logits_profile_predictions_loss: 23.9428 - logcount_predictions_loss: 0.1736 198/203 [============================>.] - ETA: 3s - loss: 24.1118 - logits_profile_predictions_loss: 23.9383 - logcount_predictions_loss: 0.1735 199/203 [============================>.] - ETA: 2s - loss: 24.1249 - logits_profile_predictions_loss: 23.9516 - logcount_predictions_loss: 0.1733 200/203 [============================>.] - ETA: 2s - loss: 24.1130 - logits_profile_predictions_loss: 23.9396 - logcount_predictions_loss: 0.1734 201/203 [============================>.] - ETA: 1s - loss: 24.1068 - logits_profile_predictions_loss: 23.9332 - logcount_predictions_loss: 0.1736 202/203 [============================>.] - ETA: 0s - loss: 24.0921 - logits_profile_predictions_loss: 23.9185 - logcount_predictions_loss: 0.1735 203/203 [==============================] - ETA: 0s - loss: 24.1014 - logits_profile_predictions_loss: 23.9276 - logcount_predictions_loss: 0.1738 Epoch 10: val_loss did not improve from 27.42717  203/203 [==============================] - 160s 791ms/step - loss: 24.1014 - logits_profile_predictions_loss: 23.9276 - logcount_predictions_loss: 0.1738 - val_loss: 27.6748 - val_logits_profile_predictions_loss: 27.4910 - val_logcount_predictions_loss: 0.1838 Epoch 11/50 1/203 [..............................] - ETA: 2:25 - loss: 24.5024 - logits_profile_predictions_loss: 24.3819 - logcount_predictions_loss: 0.1206 2/203 [..............................] - ETA: 2:24 - loss: 22.8414 - logits_profile_predictions_loss: 22.7230 - logcount_predictions_loss: 0.1184 3/203 [..............................] - ETA: 2:23 - loss: 23.0003 - logits_profile_predictions_loss: 22.8722 - logcount_predictions_loss: 0.1281 4/203 [..............................] - ETA: 3:00 - loss: 23.0984 - logits_profile_predictions_loss: 22.9566 - logcount_predictions_loss: 0.1418 5/203 [..............................] - ETA: 2:49 - loss: 22.9826 - logits_profile_predictions_loss: 22.8382 - logcount_predictions_loss: 0.1444 6/203 [..............................] - ETA: 2:43 - loss: 23.4654 - logits_profile_predictions_loss: 23.3222 - logcount_predictions_loss: 0.1432 7/203 [>.............................] - ETA: 2:38 - loss: 23.4370 - logits_profile_predictions_loss: 23.2870 - logcount_predictions_loss: 0.1500 8/203 [>.............................] - ETA: 2:35 - loss: 24.2061 - logits_profile_predictions_loss: 24.0508 - logcount_predictions_loss: 0.1553 9/203 [>.............................] - ETA: 2:32 - loss: 23.9582 - logits_profile_predictions_loss: 23.8078 - logcount_predictions_loss: 0.1504 10/203 [>.............................] - ETA: 2:30 - loss: 23.9980 - logits_profile_predictions_loss: 23.8410 - logcount_predictions_loss: 0.1570 11/203 [>.............................] - ETA: 2:28 - loss: 24.1545 - logits_profile_predictions_loss: 23.9947 - logcount_predictions_loss: 0.1598 12/203 [>.............................] - ETA: 2:26 - loss: 24.2111 - logits_profile_predictions_loss: 24.0459 - logcount_predictions_loss: 0.1652 13/203 [>.............................] - ETA: 2:25 - loss: 24.1840 - logits_profile_predictions_loss: 24.0209 - logcount_predictions_loss: 0.1631 14/203 [=>............................] - ETA: 2:23 - loss: 23.9614 - logits_profile_predictions_loss: 23.8018 - logcount_predictions_loss: 0.1597 15/203 [=>............................] - ETA: 2:22 - loss: 24.0123 - logits_profile_predictions_loss: 23.8515 - logcount_predictions_loss: 0.1608 16/203 [=>............................] - ETA: 2:21 - loss: 24.0322 - logits_profile_predictions_loss: 23.8640 - logcount_predictions_loss: 0.1683 17/203 [=>............................] - ETA: 2:19 - loss: 23.9601 - logits_profile_predictions_loss: 23.7952 - logcount_predictions_loss: 0.1649 18/203 [=>............................] - ETA: 2:18 - loss: 23.8704 - logits_profile_predictions_loss: 23.7073 - logcount_predictions_loss: 0.1631 19/203 [=>............................] - ETA: 2:18 - loss: 23.7240 - logits_profile_predictions_loss: 23.5614 - logcount_predictions_loss: 0.1626 20/203 [=>............................] - ETA: 2:16 - loss: 23.6761 - logits_profile_predictions_loss: 23.5164 - logcount_predictions_loss: 0.1597 21/203 [==>...........................] - 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[===>..........................] - ETA: 2:08 - loss: 23.6743 - logits_profile_predictions_loss: 23.5044 - logcount_predictions_loss: 0.1699 29/203 [===>..........................] - ETA: 2:07 - loss: 23.6524 - logits_profile_predictions_loss: 23.4822 - logcount_predictions_loss: 0.1702 30/203 [===>..........................] - ETA: 2:06 - loss: 23.6082 - logits_profile_predictions_loss: 23.4386 - logcount_predictions_loss: 0.1696 31/203 [===>..........................] - ETA: 2:05 - loss: 23.7011 - logits_profile_predictions_loss: 23.5318 - logcount_predictions_loss: 0.1693 32/203 [===>..........................] - ETA: 2:04 - loss: 23.6953 - logits_profile_predictions_loss: 23.5237 - logcount_predictions_loss: 0.1717 33/203 [===>..........................] - ETA: 2:04 - loss: 23.7449 - logits_profile_predictions_loss: 23.5735 - logcount_predictions_loss: 0.1714 34/203 [====>.........................] - ETA: 2:03 - loss: 23.7094 - logits_profile_predictions_loss: 23.5373 - 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ETA: 1:52 - loss: 23.7146 - logits_profile_predictions_loss: 23.5318 - logcount_predictions_loss: 0.1828 49/203 [======>.......................] - ETA: 1:52 - loss: 23.7654 - logits_profile_predictions_loss: 23.5816 - logcount_predictions_loss: 0.1838 50/203 [======>.......................] - ETA: 1:51 - loss: 23.7127 - logits_profile_predictions_loss: 23.5298 - logcount_predictions_loss: 0.1829 51/203 [======>.......................] - ETA: 1:50 - loss: 23.7260 - logits_profile_predictions_loss: 23.5431 - logcount_predictions_loss: 0.1829 52/203 [======>.......................] - ETA: 1:49 - loss: 23.7463 - logits_profile_predictions_loss: 23.5623 - logcount_predictions_loss: 0.1840 53/203 [======>.......................] - ETA: 1:49 - loss: 23.7230 - logits_profile_predictions_loss: 23.5395 - logcount_predictions_loss: 0.1835 54/203 [======>.......................] - ETA: 1:48 - loss: 23.7172 - logits_profile_predictions_loss: 23.5332 - logcount_predictions_loss: 0.1840 55/203 [=======>......................] - ETA: 1:47 - loss: 23.7009 - logits_profile_predictions_loss: 23.5170 - logcount_predictions_loss: 0.1839 56/203 [=======>......................] - ETA: 1:47 - loss: 23.7126 - logits_profile_predictions_loss: 23.5289 - logcount_predictions_loss: 0.1837 57/203 [=======>......................] - ETA: 1:46 - loss: 23.7121 - logits_profile_predictions_loss: 23.5283 - logcount_predictions_loss: 0.1837 58/203 [=======>......................] - ETA: 1:45 - loss: 23.6806 - logits_profile_predictions_loss: 23.4978 - logcount_predictions_loss: 0.1828 59/203 [=======>......................] - ETA: 1:44 - loss: 23.7032 - logits_profile_predictions_loss: 23.5208 - logcount_predictions_loss: 0.1824 60/203 [=======>......................] - ETA: 1:44 - loss: 23.6735 - logits_profile_predictions_loss: 23.4910 - logcount_predictions_loss: 0.1825 61/203 [========>.....................] - ETA: 1:43 - loss: 23.6518 - logits_profile_predictions_loss: 23.4695 - logcount_predictions_loss: 0.1823 62/203 [========>.....................] - ETA: 1:42 - loss: 23.6656 - logits_profile_predictions_loss: 23.4829 - logcount_predictions_loss: 0.1826 63/203 [========>.....................] - ETA: 1:41 - loss: 23.6687 - logits_profile_predictions_loss: 23.4856 - logcount_predictions_loss: 0.1830 64/203 [========>.....................] - ETA: 1:41 - loss: 23.6887 - logits_profile_predictions_loss: 23.5062 - logcount_predictions_loss: 0.1825 65/203 [========>.....................] - ETA: 1:40 - loss: 23.7055 - logits_profile_predictions_loss: 23.5233 - logcount_predictions_loss: 0.1823 66/203 [========>.....................] - ETA: 1:39 - loss: 23.6580 - logits_profile_predictions_loss: 23.4754 - logcount_predictions_loss: 0.1825 67/203 [========>.....................] - ETA: 1:39 - loss: 23.6625 - logits_profile_predictions_loss: 23.4805 - logcount_predictions_loss: 0.1820 68/203 [=========>....................] - ETA: 1:38 - loss: 23.6465 - 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ETA: 1:33 - loss: 23.6118 - logits_profile_predictions_loss: 23.4322 - logcount_predictions_loss: 0.1796 76/203 [==========>...................] - ETA: 1:32 - loss: 23.6215 - logits_profile_predictions_loss: 23.4420 - logcount_predictions_loss: 0.1795 77/203 [==========>...................] - ETA: 1:31 - loss: 23.6133 - logits_profile_predictions_loss: 23.4333 - logcount_predictions_loss: 0.1800 78/203 [==========>...................] - ETA: 1:31 - loss: 23.6324 - logits_profile_predictions_loss: 23.4525 - logcount_predictions_loss: 0.1799 79/203 [==========>...................] - ETA: 1:30 - loss: 23.6636 - logits_profile_predictions_loss: 23.4833 - logcount_predictions_loss: 0.1803 80/203 [==========>...................] - ETA: 1:29 - loss: 23.6826 - logits_profile_predictions_loss: 23.5023 - logcount_predictions_loss: 0.1803 81/203 [==========>...................] - ETA: 1:29 - loss: 23.6994 - logits_profile_predictions_loss: 23.5194 - logcount_predictions_loss: 0.1800 82/203 [===========>..................] - ETA: 1:28 - loss: 23.6908 - logits_profile_predictions_loss: 23.5107 - logcount_predictions_loss: 0.1801 83/203 [===========>..................] - ETA: 1:27 - loss: 23.7114 - logits_profile_predictions_loss: 23.5304 - logcount_predictions_loss: 0.1810 84/203 [===========>..................] - ETA: 1:26 - loss: 23.7443 - logits_profile_predictions_loss: 23.5631 - logcount_predictions_loss: 0.1812 85/203 [===========>..................] - ETA: 1:26 - loss: 23.7728 - logits_profile_predictions_loss: 23.5912 - logcount_predictions_loss: 0.1815 86/203 [===========>..................] - ETA: 1:25 - loss: 23.7786 - logits_profile_predictions_loss: 23.5969 - logcount_predictions_loss: 0.1816 87/203 [===========>..................] - ETA: 1:24 - loss: 23.7728 - logits_profile_predictions_loss: 23.5913 - logcount_predictions_loss: 0.1816 88/203 [============>.................] - ETA: 1:23 - loss: 23.7968 - logits_profile_predictions_loss: 23.6154 - 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[==============>...............] - ETA: 1:14 - loss: 23.6737 - logits_profile_predictions_loss: 23.4928 - logcount_predictions_loss: 0.1809 103/203 [==============>...............] - ETA: 1:13 - loss: 23.7152 - logits_profile_predictions_loss: 23.5336 - logcount_predictions_loss: 0.1816 104/203 [==============>...............] - ETA: 1:12 - loss: 23.7279 - logits_profile_predictions_loss: 23.5458 - logcount_predictions_loss: 0.1821 105/203 [==============>...............] - ETA: 1:11 - loss: 23.7268 - logits_profile_predictions_loss: 23.5452 - logcount_predictions_loss: 0.1815 106/203 [==============>...............] - ETA: 1:11 - loss: 23.7038 - logits_profile_predictions_loss: 23.5226 - logcount_predictions_loss: 0.1812 107/203 [==============>...............] - ETA: 1:10 - loss: 23.7080 - logits_profile_predictions_loss: 23.5269 - logcount_predictions_loss: 0.1811 108/203 [==============>...............] - ETA: 1:09 - loss: 23.7157 - logits_profile_predictions_loss: 23.5344 - 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[=================>............] - ETA: 59s - loss: 23.6796 - logits_profile_predictions_loss: 23.4996 - logcount_predictions_loss: 0.1800  123/203 [=================>............] - ETA: 58s - loss: 23.6894 - logits_profile_predictions_loss: 23.5099 - logcount_predictions_loss: 0.1794 124/203 [=================>............] - ETA: 58s - loss: 23.6844 - logits_profile_predictions_loss: 23.5053 - logcount_predictions_loss: 0.1791 125/203 [=================>............] - ETA: 57s - loss: 23.7155 - logits_profile_predictions_loss: 23.5362 - logcount_predictions_loss: 0.1793 126/203 [=================>............] - ETA: 56s - loss: 23.7168 - logits_profile_predictions_loss: 23.5376 - logcount_predictions_loss: 0.1792 127/203 [=================>............] - ETA: 55s - loss: 23.7256 - logits_profile_predictions_loss: 23.5465 - logcount_predictions_loss: 0.1791 128/203 [=================>............] - ETA: 55s - loss: 23.7255 - logits_profile_predictions_loss: 23.5466 - 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- ETA: 44s - loss: 23.7358 - logits_profile_predictions_loss: 23.5580 - logcount_predictions_loss: 0.1778 143/203 [====================>.........] - ETA: 44s - loss: 23.7340 - logits_profile_predictions_loss: 23.5564 - logcount_predictions_loss: 0.1776 144/203 [====================>.........] - ETA: 43s - loss: 23.7218 - logits_profile_predictions_loss: 23.5443 - logcount_predictions_loss: 0.1775 145/203 [====================>.........] - ETA: 42s - loss: 23.7192 - logits_profile_predictions_loss: 23.5419 - logcount_predictions_loss: 0.1774 146/203 [====================>.........] - ETA: 42s - loss: 23.7188 - logits_profile_predictions_loss: 23.5418 - logcount_predictions_loss: 0.1770 147/203 [====================>.........] - ETA: 41s - loss: 23.7180 - logits_profile_predictions_loss: 23.5408 - logcount_predictions_loss: 0.1772 148/203 [====================>.........] - ETA: 40s - loss: 23.7200 - logits_profile_predictions_loss: 23.5425 - logcount_predictions_loss: 0.1775 149/203 [=====================>........] - ETA: 39s - loss: 23.7431 - logits_profile_predictions_loss: 23.5655 - logcount_predictions_loss: 0.1776 150/203 [=====================>........] - ETA: 39s - loss: 23.7382 - logits_profile_predictions_loss: 23.5610 - logcount_predictions_loss: 0.1771 151/203 [=====================>........] - ETA: 38s - loss: 23.7566 - logits_profile_predictions_loss: 23.5796 - logcount_predictions_loss: 0.1771 152/203 [=====================>........] - ETA: 37s - loss: 23.7798 - logits_profile_predictions_loss: 23.6024 - logcount_predictions_loss: 0.1774 153/203 [=====================>........] - ETA: 36s - loss: 23.8030 - logits_profile_predictions_loss: 23.6258 - logcount_predictions_loss: 0.1772 154/203 [=====================>........] - ETA: 36s - loss: 23.8071 - logits_profile_predictions_loss: 23.6292 - logcount_predictions_loss: 0.1779 155/203 [=====================>........] - ETA: 35s - loss: 23.8060 - logits_profile_predictions_loss: 23.6282 - logcount_predictions_loss: 0.1779 156/203 [======================>.......] - ETA: 34s - loss: 23.8138 - logits_profile_predictions_loss: 23.6358 - logcount_predictions_loss: 0.1780 157/203 [======================>.......] - ETA: 33s - loss: 23.8050 - logits_profile_predictions_loss: 23.6265 - logcount_predictions_loss: 0.1785 158/203 [======================>.......] - ETA: 33s - loss: 23.8231 - logits_profile_predictions_loss: 23.6446 - logcount_predictions_loss: 0.1785 159/203 [======================>.......] - ETA: 32s - loss: 23.8164 - logits_profile_predictions_loss: 23.6380 - logcount_predictions_loss: 0.1784 160/203 [======================>.......] - ETA: 31s - loss: 23.8131 - logits_profile_predictions_loss: 23.6350 - logcount_predictions_loss: 0.1781 161/203 [======================>.......] - ETA: 31s - loss: 23.8028 - logits_profile_predictions_loss: 23.6248 - logcount_predictions_loss: 0.1781 162/203 [======================>.......] - ETA: 30s - loss: 23.8117 - logits_profile_predictions_loss: 23.6339 - logcount_predictions_loss: 0.1778 163/203 [=======================>......] - ETA: 29s - loss: 23.8131 - logits_profile_predictions_loss: 23.6355 - logcount_predictions_loss: 0.1776 164/203 [=======================>......] - ETA: 28s - loss: 23.7979 - logits_profile_predictions_loss: 23.6201 - logcount_predictions_loss: 0.1778 165/203 [=======================>......] - ETA: 28s - loss: 23.8111 - logits_profile_predictions_loss: 23.6332 - logcount_predictions_loss: 0.1779 166/203 [=======================>......] - ETA: 27s - loss: 23.8074 - logits_profile_predictions_loss: 23.6298 - logcount_predictions_loss: 0.1776 167/203 [=======================>......] - ETA: 26s - loss: 23.8204 - logits_profile_predictions_loss: 23.6430 - logcount_predictions_loss: 0.1774 168/203 [=======================>......] - ETA: 25s - loss: 23.8214 - logits_profile_predictions_loss: 23.6441 - logcount_predictions_loss: 0.1773 169/203 [=======================>......] - ETA: 25s - loss: 23.8174 - logits_profile_predictions_loss: 23.6402 - logcount_predictions_loss: 0.1772 170/203 [========================>.....] - ETA: 24s - loss: 23.8193 - logits_profile_predictions_loss: 23.6421 - logcount_predictions_loss: 0.1772 171/203 [========================>.....] - ETA: 23s - loss: 23.8343 - logits_profile_predictions_loss: 23.6571 - logcount_predictions_loss: 0.1773 172/203 [========================>.....] - ETA: 22s - loss: 23.8337 - logits_profile_predictions_loss: 23.6566 - logcount_predictions_loss: 0.1771 173/203 [========================>.....] - ETA: 22s - loss: 23.8377 - logits_profile_predictions_loss: 23.6602 - logcount_predictions_loss: 0.1775 174/203 [========================>.....] - ETA: 21s - loss: 23.8405 - logits_profile_predictions_loss: 23.6627 - logcount_predictions_loss: 0.1777 175/203 [========================>.....] - ETA: 20s - loss: 23.8365 - logits_profile_predictions_loss: 23.6588 - logcount_predictions_loss: 0.1777 176/203 [=========================>....] - ETA: 19s - loss: 23.8266 - logits_profile_predictions_loss: 23.6489 - logcount_predictions_loss: 0.1778 177/203 [=========================>....] - ETA: 19s - loss: 23.8445 - logits_profile_predictions_loss: 23.6666 - logcount_predictions_loss: 0.1779 178/203 [=========================>....] - ETA: 18s - loss: 23.8283 - logits_profile_predictions_loss: 23.6501 - logcount_predictions_loss: 0.1782 179/203 [=========================>....] - ETA: 17s - loss: 23.8244 - logits_profile_predictions_loss: 23.6461 - logcount_predictions_loss: 0.1783 180/203 [=========================>....] - ETA: 17s - loss: 23.8384 - logits_profile_predictions_loss: 23.6601 - logcount_predictions_loss: 0.1783 181/203 [=========================>....] - ETA: 16s - loss: 23.8366 - logits_profile_predictions_loss: 23.6587 - logcount_predictions_loss: 0.1779 182/203 [=========================>....] - ETA: 15s - loss: 23.8376 - logits_profile_predictions_loss: 23.6594 - logcount_predictions_loss: 0.1781 183/203 [==========================>...] - ETA: 14s - loss: 23.8485 - logits_profile_predictions_loss: 23.6703 - logcount_predictions_loss: 0.1782 184/203 [==========================>...] - ETA: 14s - loss: 23.8493 - logits_profile_predictions_loss: 23.6712 - logcount_predictions_loss: 0.1781 185/203 [==========================>...] - ETA: 13s - loss: 23.8696 - logits_profile_predictions_loss: 23.6915 - logcount_predictions_loss: 0.1781 186/203 [==========================>...] - ETA: 12s - loss: 23.8835 - logits_profile_predictions_loss: 23.7053 - logcount_predictions_loss: 0.1782 187/203 [==========================>...] - ETA: 11s - loss: 23.8682 - logits_profile_predictions_loss: 23.6904 - logcount_predictions_loss: 0.1778 188/203 [==========================>...] - ETA: 11s - loss: 23.8707 - logits_profile_predictions_loss: 23.6927 - logcount_predictions_loss: 0.1780 189/203 [==========================>...] - ETA: 10s - loss: 23.8688 - logits_profile_predictions_loss: 23.6908 - logcount_predictions_loss: 0.1779 190/203 [===========================>..] - ETA: 9s - loss: 23.8745 - logits_profile_predictions_loss: 23.6967 - logcount_predictions_loss: 0.1778  191/203 [===========================>..] - ETA: 8s - loss: 23.8943 - logits_profile_predictions_loss: 23.7167 - logcount_predictions_loss: 0.1776 192/203 [===========================>..] - ETA: 8s - loss: 23.8872 - logits_profile_predictions_loss: 23.7093 - logcount_predictions_loss: 0.1780 193/203 [===========================>..] - ETA: 7s - loss: 23.8884 - logits_profile_predictions_loss: 23.7106 - logcount_predictions_loss: 0.1778 194/203 [===========================>..] - ETA: 6s - loss: 23.8961 - logits_profile_predictions_loss: 23.7181 - logcount_predictions_loss: 0.1780 195/203 [===========================>..] - ETA: 5s - loss: 23.8871 - logits_profile_predictions_loss: 23.7092 - logcount_predictions_loss: 0.1779 196/203 [===========================>..] - ETA: 5s - loss: 23.8965 - logits_profile_predictions_loss: 23.7186 - logcount_predictions_loss: 0.1779 197/203 [============================>.] - ETA: 4s - loss: 23.8984 - logits_profile_predictions_loss: 23.7202 - logcount_predictions_loss: 0.1781 198/203 [============================>.] - ETA: 3s - loss: 23.8956 - logits_profile_predictions_loss: 23.7176 - logcount_predictions_loss: 0.1780 199/203 [============================>.] - ETA: 2s - loss: 23.9004 - logits_profile_predictions_loss: 23.7221 - logcount_predictions_loss: 0.1783 200/203 [============================>.] - ETA: 2s - loss: 23.9089 - logits_profile_predictions_loss: 23.7305 - logcount_predictions_loss: 0.1783 201/203 [============================>.] - ETA: 1s - loss: 23.9066 - logits_profile_predictions_loss: 23.7285 - logcount_predictions_loss: 0.1781 202/203 [============================>.] - ETA: 0s - loss: 23.9014 - logits_profile_predictions_loss: 23.7235 - logcount_predictions_loss: 0.1779 203/203 [==============================] - ETA: 0s - loss: 23.9030 - logits_profile_predictions_loss: 23.7254 - logcount_predictions_loss: 0.1776 Epoch 11: val_loss did not improve from 27.42717 Restoring model weights from the end of the best epoch: 6.  203/203 [==============================] - 161s 794ms/step - loss: 23.9030 - logits_profile_predictions_loss: 23.7254 - logcount_predictions_loss: 0.1776 - val_loss: 27.8854 - val_logits_profile_predictions_loss: 27.6950 - val_logcount_predictions_loss: 0.1904 Epoch 11: early stopping save model save model without bias got the model loading peaks... got split:test for bed regions:(2812, 10) 0/44 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 1/44 [..............................] - ETA: 25s 2/44 [>.............................] - ETA: 9s  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[========================>.....] - ETA: 1s 39/44 [=========================>....] - ETA: 1s 40/44 [==========================>...] - ETA: 0s 41/44 [==========================>...] - ETA: 0s 42/44 [===========================>..] - ETA: 0s 43/44 [============================>.] - ETA: 0s 44/44 [==============================] - ETA: 0s 44/44 [==============================] - 10s 228ms/step inserting motif: tn5_1 GCACAGTACAGAGCTG 1/44 [..............................] - ETA: 1s 2/44 [>.............................] - ETA: 9s 3/44 [=>............................] - ETA: 9s 4/44 [=>............................] - ETA: 9s 5/44 [==>...........................] - ETA: 8s 6/44 [===>..........................] - ETA: 8s 7/44 [===>..........................] - ETA: 8s 8/44 [====>.........................] - ETA: 8s 9/44 [=====>........................] - ETA: 7s 10/44 [=====>........................] - ETA: 7s 11/44 [======>.......................] - ETA: 7s 12/44 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[====================>.........] - ETA: 2s 33/44 [=====================>........] - ETA: 2s 34/44 [======================>.......] - ETA: 2s 35/44 [======================>.......] - ETA: 2s 36/44 [=======================>......] - ETA: 1s 37/44 [========================>.....] - ETA: 1s 38/44 [========================>.....] - ETA: 1s 39/44 [=========================>....] - ETA: 1s 40/44 [==========================>...] - ETA: 0s 41/44 [==========================>...] - ETA: 0s 42/44 [===========================>..] - ETA: 0s 43/44 [============================>.] - ETA: 0s 44/44 [==============================] - ETA: 0s 44/44 [==============================] - 10s 230ms/step 1/44 [..............................] - ETA: 1s 2/44 [>.............................] - ETA: 9s 3/44 [=>............................] - ETA: 9s 4/44 [=>............................] - ETA: 9s 5/44 [==>...........................] - ETA: 8s 6/44 [===>..........................] - ETA: 8s 7/44 [===>..........................] - ETA: 8s 8/44 [====>.........................] - ETA: 8s 9/44 [=====>........................] - ETA: 8s 10/44 [=====>........................] - ETA: 7s 11/44 [======>.......................] - ETA: 7s 12/44 [=======>......................] - ETA: 7s 13/44 [=======>......................] - ETA: 7s 14/44 [========>.....................] - ETA: 6s 15/44 [=========>....................] - ETA: 6s 16/44 [=========>....................] - ETA: 6s 17/44 [==========>...................] - ETA: 6s 18/44 [===========>..................] - ETA: 5s 19/44 [===========>..................] - ETA: 5s 20/44 [============>.................] - ETA: 5s 21/44 [=============>................] - ETA: 5s 22/44 [==============>...............] - ETA: 5s 23/44 [==============>...............] - ETA: 4s 24/44 [===============>..............] - ETA: 4s 25/44 [================>.............] - ETA: 4s 26/44 [================>.............] - ETA: 4s 27/44 [=================>............] - ETA: 3s 28/44 [==================>...........] - ETA: 3s 29/44 [==================>...........] - ETA: 3s 30/44 [===================>..........] - ETA: 3s 31/44 [====================>.........] - ETA: 3s 32/44 [====================>.........] - ETA: 2s 33/44 [=====================>........] - ETA: 2s 34/44 [======================>.......] - ETA: 2s 35/44 [======================>.......] - ETA: 2s 36/44 [=======================>......] - ETA: 1s 37/44 [========================>.....] - ETA: 1s 38/44 [========================>.....] - ETA: 1s 39/44 [=========================>....] - ETA: 1s 40/44 [==========================>...] - ETA: 0s 41/44 [==========================>...] - ETA: 0s 42/44 [===========================>..] - ETA: 0s 43/44 [============================>.] - ETA: 0s 44/44 [==============================] - ETA: 0s 44/44 [==============================] - 10s 232ms/step inserting motif: tn5_2 GTGCACAGTTCTAGAGTGTGCAG 1/44 [..............................] - ETA: 0s 2/44 [>.............................] - ETA: 9s 3/44 [=>............................] - ETA: 9s 4/44 [=>............................] - ETA: 9s 5/44 [==>...........................] - ETA: 8s 6/44 [===>..........................] - ETA: 8s 7/44 [===>..........................] - ETA: 8s 8/44 [====>.........................] - ETA: 8s 9/44 [=====>........................] - ETA: 8s 10/44 [=====>........................] - ETA: 7s 11/44 [======>.......................] - ETA: 7s 12/44 [=======>......................] - ETA: 7s 13/44 [=======>......................] - ETA: 7s 14/44 [========>.....................] - ETA: 6s 15/44 [=========>....................] - ETA: 6s 16/44 [=========>....................] - ETA: 6s 17/44 [==========>...................] - ETA: 6s 18/44 [===========>..................] - ETA: 5s 19/44 [===========>..................] - ETA: 5s 20/44 [============>.................] - ETA: 5s 21/44 [=============>................] - ETA: 5s 22/44 [==============>...............] - ETA: 5s 23/44 [==============>...............] - ETA: 4s 24/44 [===============>..............] - ETA: 4s 25/44 [================>.............] - ETA: 4s 26/44 [================>.............] - ETA: 4s 27/44 [=================>............] - ETA: 3s 28/44 [==================>...........] - ETA: 3s 29/44 [==================>...........] - ETA: 3s 30/44 [===================>..........] - ETA: 3s 31/44 [====================>.........] - ETA: 3s 32/44 [====================>.........] - ETA: 2s 33/44 [=====================>........] - ETA: 2s 34/44 [======================>.......] - ETA: 2s 35/44 [======================>.......] - ETA: 2s 36/44 [=======================>......] - ETA: 1s 37/44 [========================>.....] - ETA: 1s 38/44 [========================>.....] - ETA: 1s 39/44 [=========================>....] - ETA: 1s 40/44 [==========================>...] - ETA: 0s 41/44 [==========================>...] - ETA: 0s 42/44 [===========================>..] - ETA: 0s 43/44 [============================>.] - ETA: 0s 44/44 [==============================] - ETA: 0s 44/44 [==============================] - 10s 234ms/step 1/44 [..............................] - ETA: 1s 2/44 [>.............................] - ETA: 9s 3/44 [=>............................] - ETA: 9s 4/44 [=>............................] - ETA: 9s 5/44 [==>...........................] - ETA: 8s 6/44 [===>..........................] - ETA: 8s 7/44 [===>..........................] - ETA: 8s 8/44 [====>.........................] - ETA: 8s 9/44 [=====>........................] - ETA: 7s 10/44 [=====>........................] - ETA: 7s 11/44 [======>.......................] - ETA: 7s 12/44 [=======>......................] - ETA: 7s 13/44 [=======>......................] - ETA: 7s 14/44 [========>.....................] - ETA: 6s 15/44 [=========>....................] - ETA: 6s 16/44 [=========>....................] - ETA: 6s 17/44 [==========>...................] - ETA: 6s 18/44 [===========>..................] - ETA: 5s 19/44 [===========>..................] - ETA: 5s 20/44 [============>.................] - ETA: 5s 21/44 [=============>................] - ETA: 5s 22/44 [==============>...............] - ETA: 4s 23/44 [==============>...............] - ETA: 4s 24/44 [===============>..............] - ETA: 4s 25/44 [================>.............] - ETA: 4s 26/44 [================>.............] - ETA: 4s 27/44 [=================>............] - ETA: 3s 28/44 [==================>...........] - ETA: 3s 29/44 [==================>...........] - ETA: 3s 30/44 [===================>..........] - ETA: 3s 31/44 [====================>.........] - ETA: 2s 32/44 [====================>.........] - ETA: 2s 33/44 [=====================>........] - ETA: 2s 34/44 [======================>.......] - ETA: 2s 35/44 [======================>.......] - ETA: 2s 36/44 [=======================>......] - ETA: 1s 37/44 [========================>.....] - ETA: 1s 38/44 [========================>.....] - ETA: 1s 39/44 [=========================>....] - ETA: 1s 40/44 [==========================>...] - ETA: 0s 41/44 [==========================>...] - ETA: 0s 42/44 [===========================>..] - ETA: 0s 43/44 [============================>.] - ETA: 0s 44/44 [==============================] - ETA: 0s 44/44 [==============================] - 10s 228ms/step inserting motif: tn5_3 CCTCTACACTGTGCAGAA 1/44 [..............................] - ETA: 0s 2/44 [>.............................] - ETA: 9s 3/44 [=>............................] - ETA: 9s 4/44 [=>............................] - ETA: 9s 5/44 [==>...........................] - ETA: 8s 6/44 [===>..........................] - ETA: 8s 7/44 [===>..........................] - ETA: 8s 8/44 [====>.........................] - ETA: 8s 9/44 [=====>........................] - ETA: 7s 10/44 [=====>........................] - ETA: 7s 11/44 [======>.......................] - ETA: 7s 12/44 [=======>......................] - ETA: 7s 13/44 [=======>......................] - ETA: 7s 14/44 [========>.....................] - ETA: 6s 15/44 [=========>....................] - ETA: 6s 16/44 [=========>....................] - ETA: 6s 17/44 [==========>...................] - ETA: 6s 18/44 [===========>..................] - ETA: 5s 19/44 [===========>..................] - ETA: 5s 20/44 [============>.................] - ETA: 5s 21/44 [=============>................] - ETA: 5s 22/44 [==============>...............] - ETA: 5s 23/44 [==============>...............] - ETA: 4s 24/44 [===============>..............] - ETA: 4s 25/44 [================>.............] - ETA: 4s 26/44 [================>.............] - ETA: 4s 27/44 [=================>............] - ETA: 3s 28/44 [==================>...........] - ETA: 3s 29/44 [==================>...........] - ETA: 3s 30/44 [===================>..........] - ETA: 3s 31/44 [====================>.........] - ETA: 3s 32/44 [====================>.........] - ETA: 2s 33/44 [=====================>........] - ETA: 2s 34/44 [======================>.......] - ETA: 2s 35/44 [======================>.......] - ETA: 2s 36/44 [=======================>......] - ETA: 1s 37/44 [========================>.....] - ETA: 1s 38/44 [========================>.....] - ETA: 1s 39/44 [=========================>....] - ETA: 1s 40/44 [==========================>...] - ETA: 0s 41/44 [==========================>...] - ETA: 0s 42/44 [===========================>..] - ETA: 0s 43/44 [============================>.] - ETA: 0s 44/44 [==============================] - ETA: 0s 44/44 [==============================] - 10s 233ms/step 1/44 [..............................] - ETA: 1s 2/44 [>.............................] - ETA: 9s 3/44 [=>............................] - ETA: 9s 4/44 [=>............................] - ETA: 9s 5/44 [==>...........................] - ETA: 8s 6/44 [===>..........................] - ETA: 8s 7/44 [===>..........................] - ETA: 8s 8/44 [====>.........................] - ETA: 8s 9/44 [=====>........................] - ETA: 8s 10/44 [=====>........................] - ETA: 7s 11/44 [======>.......................] - ETA: 7s 12/44 [=======>......................] - ETA: 7s 13/44 [=======>......................] - ETA: 7s 14/44 [========>.....................] - ETA: 6s 15/44 [=========>....................] - ETA: 6s 16/44 [=========>....................] - ETA: 6s 17/44 [==========>...................] - ETA: 6s 18/44 [===========>..................] - ETA: 5s 19/44 [===========>..................] - ETA: 5s 20/44 [============>.................] - ETA: 5s 21/44 [=============>................] - ETA: 5s 22/44 [==============>...............] - ETA: 5s 23/44 [==============>...............] - ETA: 4s 24/44 [===============>..............] - ETA: 4s 25/44 [================>.............] - ETA: 4s 26/44 [================>.............] - ETA: 4s 27/44 [=================>............] - ETA: 3s 28/44 [==================>...........] - ETA: 3s 29/44 [==================>...........] - ETA: 3s 30/44 [===================>..........] - ETA: 3s 31/44 [====================>.........] - ETA: 2s 32/44 [====================>.........] - ETA: 2s 33/44 [=====================>........] - ETA: 2s 34/44 [======================>.......] - ETA: 2s 35/44 [======================>.......] - ETA: 2s 36/44 [=======================>......] - ETA: 1s 37/44 [========================>.....] - ETA: 1s 38/44 [========================>.....] - ETA: 1s 39/44 [=========================>....] - ETA: 1s 40/44 [==========================>...] - ETA: 0s 41/44 [==========================>...] - ETA: 0s 42/44 [===========================>..] - ETA: 0s 43/44 [============================>.] - ETA: 0s 44/44 [==============================] - ETA: 0s 44/44 [==============================] - 10s 232ms/step inserting motif: tn5_4 GCACAGTTCTAGACTGTGCAG 1/44 [..............................] - ETA: 1s 2/44 [>.............................] - ETA: 10s 3/44 [=>............................] - ETA: 10s 4/44 [=>............................] - ETA: 9s  5/44 [==>...........................] - ETA: 9s 6/44 [===>..........................] - ETA: 9s 7/44 [===>..........................] - ETA: 9s 8/44 [====>.........................] - ETA: 8s 9/44 [=====>........................] - ETA: 8s 10/44 [=====>........................] - ETA: 8s 11/44 [======>.......................] - ETA: 8s 12/44 [=======>......................] - ETA: 8s 13/44 [=======>......................] - ETA: 7s 14/44 [========>.....................] - ETA: 7s 15/44 [=========>....................] - ETA: 7s 16/44 [=========>....................] - ETA: 6s 17/44 [==========>...................] - ETA: 6s 18/44 [===========>..................] - ETA: 6s 19/44 [===========>..................] - ETA: 6s 20/44 [============>.................] - ETA: 5s 21/44 [=============>................] - ETA: 5s 22/44 [==============>...............] - ETA: 5s 23/44 [==============>...............] - ETA: 5s 24/44 [===============>..............] - ETA: 4s 25/44 [================>.............] - ETA: 4s 26/44 [================>.............] - ETA: 4s 27/44 [=================>............] - ETA: 4s 28/44 [==================>...........] - ETA: 3s 29/44 [==================>...........] - ETA: 3s 30/44 [===================>..........] - ETA: 3s 31/44 [====================>.........] - ETA: 3s 32/44 [====================>.........] - ETA: 2s 33/44 [=====================>........] - ETA: 2s 34/44 [======================>.......] - ETA: 2s 35/44 [======================>.......] - ETA: 2s 36/44 [=======================>......] - ETA: 1s 37/44 [========================>.....] - ETA: 1s 38/44 [========================>.....] - ETA: 1s 39/44 [=========================>....] - ETA: 1s 40/44 [==========================>...] - ETA: 0s 41/44 [==========================>...] - ETA: 0s 42/44 [===========================>..] - ETA: 0s 43/44 [============================>.] - ETA: 0s 44/44 [==============================] - ETA: 0s 44/44 [==============================] - 10s 237ms/step 1/44 [..............................] - ETA: 0s 2/44 [>.............................] - ETA: 9s 3/44 [=>............................] - ETA: 9s 4/44 [=>............................] - ETA: 9s 5/44 [==>...........................] - ETA: 8s 6/44 [===>..........................] - ETA: 8s 7/44 [===>..........................] - ETA: 8s 8/44 [====>.........................] - ETA: 8s 9/44 [=====>........................] - ETA: 7s 10/44 [=====>........................] - ETA: 7s 11/44 [======>.......................] - ETA: 7s 12/44 [=======>......................] - ETA: 7s 13/44 [=======>......................] - ETA: 7s 14/44 [========>.....................] - ETA: 6s 15/44 [=========>....................] - ETA: 6s 16/44 [=========>....................] - ETA: 6s 17/44 [==========>...................] - ETA: 6s 18/44 [===========>..................] - ETA: 5s 19/44 [===========>..................] - ETA: 5s 20/44 [============>.................] - ETA: 5s 21/44 [=============>................] - ETA: 5s 22/44 [==============>...............] - ETA: 5s 23/44 [==============>...............] - ETA: 4s 24/44 [===============>..............] - ETA: 4s 25/44 [================>.............] - ETA: 4s 26/44 [================>.............] - ETA: 4s 27/44 [=================>............] - ETA: 3s 28/44 [==================>...........] - ETA: 3s 29/44 [==================>...........] - ETA: 3s 30/44 [===================>..........] - ETA: 3s 31/44 [====================>.........] - ETA: 2s 32/44 [====================>.........] - ETA: 2s 33/44 [=====================>........] - ETA: 2s 34/44 [======================>.......] - ETA: 2s 35/44 [======================>.......] - ETA: 2s 36/44 [=======================>......] - ETA: 1s 37/44 [========================>.....] - ETA: 1s 38/44 [========================>.....] - ETA: 1s 39/44 [=========================>....] - ETA: 1s 40/44 [==========================>...] - ETA: 0s 41/44 [==========================>...] - ETA: 0s 42/44 [===========================>..] - ETA: 0s 43/44 [============================>.] - ETA: 0s 44/44 [==============================] - ETA: 0s 44/44 [==============================] - 10s 229ms/step inserting motif: tn5_5 CTGCACAGTGTAGAGTTGTGC 1/44 [..............................] - ETA: 0s 2/44 [>.............................] - ETA: 9s 3/44 [=>............................] - ETA: 9s 4/44 [=>............................] - ETA: 9s 5/44 [==>...........................] - ETA: 8s 6/44 [===>..........................] - ETA: 8s 7/44 [===>..........................] - ETA: 8s 8/44 [====>.........................] - ETA: 8s 9/44 [=====>........................] - ETA: 7s 10/44 [=====>........................] - ETA: 7s 11/44 [======>.......................] - ETA: 7s 12/44 [=======>......................] - ETA: 7s 13/44 [=======>......................] - ETA: 7s 14/44 [========>.....................] - ETA: 6s 15/44 [=========>....................] - ETA: 6s 16/44 [=========>....................] - ETA: 6s 17/44 [==========>...................] - ETA: 6s 18/44 [===========>..................] - ETA: 5s 19/44 [===========>..................] - ETA: 5s 20/44 [============>.................] - ETA: 5s 21/44 [=============>................] - ETA: 5s 22/44 [==============>...............] - ETA: 5s 23/44 [==============>...............] - ETA: 4s 24/44 [===============>..............] - ETA: 4s 25/44 [================>.............] - ETA: 4s 26/44 [================>.............] - ETA: 4s 27/44 [=================>............] - ETA: 3s 28/44 [==================>...........] - ETA: 3s 29/44 [==================>...........] - ETA: 3s 30/44 [===================>..........] - ETA: 3s 31/44 [====================>.........] - ETA: 2s 32/44 [====================>.........] - ETA: 2s 33/44 [=====================>........] - ETA: 2s 34/44 [======================>.......] - ETA: 2s 35/44 [======================>.......] - ETA: 2s 36/44 [=======================>......] - ETA: 1s 37/44 [========================>.....] - ETA: 1s 38/44 [========================>.....] - ETA: 1s 39/44 [=========================>....] - ETA: 1s 40/44 [==========================>...] - ETA: 0s 41/44 [==========================>...] - ETA: 0s 42/44 [===========================>..] - ETA: 0s 43/44 [============================>.] - ETA: 0s 44/44 [==============================] - ETA: 0s 44/44 [==============================] - 10s 229ms/step 1/44 [..............................] - ETA: 0s 2/44 [>.............................] - ETA: 9s 3/44 [=>............................] - ETA: 9s 4/44 [=>............................] - ETA: 9s 5/44 [==>...........................] - ETA: 8s 6/44 [===>..........................] - ETA: 8s 7/44 [===>..........................] - ETA: 8s 8/44 [====>.........................] - ETA: 8s 9/44 [=====>........................] - ETA: 8s 10/44 [=====>........................] - ETA: 7s 11/44 [======>.......................] - ETA: 7s 12/44 [=======>......................] - ETA: 7s 13/44 [=======>......................] - ETA: 7s 14/44 [========>.....................] - ETA: 6s 15/44 [=========>....................] - ETA: 6s 16/44 [=========>....................] - ETA: 6s 17/44 [==========>...................] - ETA: 6s 18/44 [===========>..................] - ETA: 6s 19/44 [===========>..................] - ETA: 5s 20/44 [============>.................] - ETA: 5s 21/44 [=============>................] - ETA: 5s 22/44 [==============>...............] - ETA: 5s 23/44 [==============>...............] - ETA: 4s 24/44 [===============>..............] - ETA: 4s 25/44 [================>.............] - ETA: 4s 26/44 [================>.............] - ETA: 4s 27/44 [=================>............] - ETA: 3s 28/44 [==================>...........] - ETA: 3s 29/44 [==================>...........] - ETA: 3s 30/44 [===================>..........] - ETA: 3s 31/44 [====================>.........] - ETA: 3s 32/44 [====================>.........] - ETA: 2s 33/44 [=====================>........] - ETA: 2s 34/44 [======================>.......] - ETA: 2s 35/44 [======================>.......] - ETA: 2s 36/44 [=======================>......] - ETA: 1s 37/44 [========================>.....] - ETA: 1s 38/44 [========================>.....] - ETA: 1s 39/44 [=========================>....] - ETA: 1s 40/44 [==========================>...] - ETA: 0s 41/44 [==========================>...] - ETA: 0s 42/44 [===========================>..] - ETA: 0s 43/44 [============================>.] - ETA: 0s 44/44 [==============================] - ETA: 0s 44/44 [==============================] - 10s 234ms/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 : (15791, 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 15791 Done 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of 15791 Done 14300 examples of 15791 Done 14400 examples of 15791 Done 14500 examples of 15791 Done 14600 examples of 15791 Done 14700 examples of 15791 Done 14800 examples of 15791 Done 14900 examples of 15791 Done 15000 examples of 15791 Done 15100 examples of 15791 Done 15200 examples of 15791 Done 15300 examples of 15791 Done 15400 examples of 15791 Done 15500 examples of 15791 Done 15600 examples of 15791 Done 15700 examples of 15791 Saving 'profile' scores