Live Estimating enzyme shift in input file Current estimated shift: +4/-5 awk -v OFS="\t" '{if ($6=="+"){print $1,$2+0,$3,$4,$5,$6} else if ($6=="-") {print $1,$2,$3+1,$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: 128983 evaluating hyperparameters on the following chromosomes ['chr2', 'chr4', 'chr5', 'chr7', 'chr9', 'chr10', 'chr11', 'chr12', 'chr13', 'chr14', 'chr15', 'chr16', 'chr17', 'chr18', 'chr19', 'chr21', 'chr22', 'chrX', 'chrY', 'chr8', 'chr20'] Number of peaks input: 42649 Number of peaks filtered because the input/output is on the edge: 0 Number of peaks being used: 42649 Number of peaks input: 11894 Number of peaks filtered because the input/output is on the edge: 0 Number of peaks being used: 11894 Number of non peaks input: 85298 Number of non peaks filtered because the input/output is on the edge: 0 Number of non peaks being used: 85298 Number of non peaks input: 11894 Number of non peaks filtered because the input/output is on the edge: 0 Number of non peaks being used: 11894 Number of peaks after removing outliers: 42644 Number of nonpeaks after removing outliers: 35082 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 1/1097 [..............................] - ETA: 29:15 6/1097 [..............................] - ETA: 12s  11/1097 [..............................] - ETA: 12s 16/1097 [..............................] - ETA: 12s 21/1097 [..............................] - ETA: 12s 26/1097 [..............................] - ETA: 12s 31/1097 [..............................] - ETA: 12s 36/1097 [..............................] - ETA: 12s 41/1097 [>.............................] - ETA: 12s 46/1097 [>.............................] - ETA: 12s 51/1097 [>.............................] - ETA: 12s 56/1097 [>.............................] - ETA: 12s 61/1097 [>.............................] - ETA: 12s 66/1097 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1097/1097 [==============================] - 15s 12ms/step got the model loading peaks... got split:test for bed regions:(11894, 10) 0/186 100/186 Bias model pearsonr performance in peaks is: -0.03 {'counts_loss_weight': '1.0', 'filters': '512', 'n_dil_layers': '8', 'bias_model_path': '/oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/ameen_2022/K562_bias/ameen_2022.NC/fold_0/models/bias_model_scaled.h5', 'inputlen': '2114', 'outputlen': '1000', 'max_jitter': '500', 'chr_fold_path': '/oak/stanford/groups/akundaje/soumyak/refs/hg38/splits/fold_0.json', 'negative_sampling_ratio': '0.1'} got the model loading peaks... got split:train for bed regions:(38754, 10) loading nonpeaks... got split:train for bed regions:(31922, 10) loading peaks... got split:valid for bed regions:(3890, 10) loading nonpeaks... got split:valid for bed regions:(3160, 10) Epoch 1/50 1/667 [..............................] - ETA: 1:05:53 - loss: 62.3309 - logits_profile_predictions_loss: 61.3139 - logcount_predictions_loss: 1.0170 2/667 [..............................] - ETA: 8:02 - loss: 1252.3328 - logits_profile_predictions_loss: 66.2669 - logcount_predictions_loss: 1186.0659 3/667 [..............................] - ETA: 8:01 - loss: 858.2267 - logits_profile_predictions_loss: 67.1374 - logcount_predictions_loss: 791.0894  4/667 [..............................] - ETA: 7:59 - loss: 667.6589 - logits_profile_predictions_loss: 73.5671 - logcount_predictions_loss: 594.0918 5/667 [..............................] - ETA: 7:58 - loss: 545.6367 - logits_profile_predictions_loss: 70.0347 - logcount_predictions_loss: 475.6020 6/667 [..............................] - ETA: 7:57 - loss: 466.7500 - logits_profile_predictions_loss: 70.0327 - logcount_predictions_loss: 396.7173 7/667 [..............................] - ETA: 7:56 - loss: 412.2442 - logits_profile_predictions_loss: 71.8106 - logcount_predictions_loss: 340.4336 8/667 [..............................] - ETA: 7:55 - loss: 367.8502 - logits_profile_predictions_loss: 69.7531 - logcount_predictions_loss: 298.0971 9/667 [..............................] - ETA: 7:54 - loss: 335.8730 - logits_profile_predictions_loss: 70.6015 - logcount_predictions_loss: 265.2715 10/667 [..............................] - ETA: 7:53 - loss: 309.2407 - logits_profile_predictions_loss: 70.2751 - logcount_predictions_loss: 238.9655 11/667 [..............................] - ETA: 7:52 - loss: 288.4358 - logits_profile_predictions_loss: 70.9489 - logcount_predictions_loss: 217.4869 12/667 [..............................] - ETA: 7:51 - loss: 270.8918 - logits_profile_predictions_loss: 71.3137 - logcount_predictions_loss: 199.5781 13/667 [..............................] - ETA: 7:50 - loss: 254.7343 - logits_profile_predictions_loss: 70.3726 - logcount_predictions_loss: 184.3617 14/667 [..............................] - ETA: 7:49 - loss: 241.4639 - logits_profile_predictions_loss: 70.1078 - logcount_predictions_loss: 171.3562 15/667 [..............................] - ETA: 7:48 - loss: 230.6080 - logits_profile_predictions_loss: 70.4961 - logcount_predictions_loss: 160.1119 16/667 [..............................] - ETA: 7:48 - loss: 220.9986 - logits_profile_predictions_loss: 70.7269 - logcount_predictions_loss: 150.2718 17/667 [..............................] - ETA: 7:47 - loss: 212.0123 - logits_profile_predictions_loss: 70.4456 - logcount_predictions_loss: 141.5668 18/667 [..............................] - ETA: 7:46 - loss: 204.1270 - logits_profile_predictions_loss: 70.2970 - logcount_predictions_loss: 133.8301 19/667 [..............................] - ETA: 7:45 - loss: 197.1552 - logits_profile_predictions_loss: 70.2471 - logcount_predictions_loss: 126.9081 20/667 [..............................] - ETA: 7:44 - loss: 190.4273 - logits_profile_predictions_loss: 69.7648 - logcount_predictions_loss: 120.6625 21/667 [..............................] - ETA: 7:43 - loss: 185.5078 - logits_profile_predictions_loss: 70.4359 - logcount_predictions_loss: 115.0719 22/667 [..............................] - ETA: 7:43 - loss: 180.4091 - logits_profile_predictions_loss: 70.4552 - logcount_predictions_loss: 109.9540 23/667 [>.............................] - ETA: 7:42 - loss: 175.3847 - logits_profile_predictions_loss: 70.1163 - logcount_predictions_loss: 105.2685 24/667 [>.............................] - ETA: 7:41 - loss: 170.4590 - logits_profile_predictions_loss: 69.5037 - logcount_predictions_loss: 100.9553 25/667 [>.............................] - ETA: 7:40 - loss: 166.5129 - logits_profile_predictions_loss: 69.4941 - logcount_predictions_loss: 97.0188  26/667 [>.............................] - ETA: 7:40 - loss: 162.8057 - logits_profile_predictions_loss: 69.4289 - logcount_predictions_loss: 93.3769 27/667 [>.............................] - ETA: 7:39 - loss: 159.5265 - logits_profile_predictions_loss: 69.5179 - logcount_predictions_loss: 90.0086 28/667 [>.............................] - ETA: 7:38 - loss: 156.1350 - logits_profile_predictions_loss: 69.2671 - logcount_predictions_loss: 86.8680 29/667 [>.............................] - ETA: 7:37 - loss: 153.2051 - logits_profile_predictions_loss: 69.2519 - logcount_predictions_loss: 83.9532 30/667 [>.............................] - ETA: 7:37 - loss: 150.3758 - logits_profile_predictions_loss: 69.1451 - logcount_predictions_loss: 81.2307 31/667 [>.............................] - ETA: 7:36 - loss: 147.9358 - logits_profile_predictions_loss: 69.2434 - logcount_predictions_loss: 78.6924 32/667 [>.............................] - ETA: 7:35 - loss: 145.5077 - logits_profile_predictions_loss: 69.2014 - logcount_predictions_loss: 76.3063 33/667 [>.............................] - ETA: 7:35 - loss: 142.9727 - logits_profile_predictions_loss: 68.9210 - logcount_predictions_loss: 74.0518 34/667 [>.............................] - ETA: 7:34 - loss: 141.0294 - logits_profile_predictions_loss: 69.0793 - logcount_predictions_loss: 71.9501 35/667 [>.............................] - ETA: 7:33 - loss: 138.9277 - logits_profile_predictions_loss: 68.9693 - logcount_predictions_loss: 69.9584 36/667 [>.............................] - ETA: 7:33 - loss: 136.5757 - logits_profile_predictions_loss: 68.5129 - logcount_predictions_loss: 68.0628 37/667 [>.............................] - ETA: 7:32 - loss: 134.9562 - logits_profile_predictions_loss: 68.6666 - logcount_predictions_loss: 66.2896 38/667 [>.............................] - ETA: 7:31 - loss: 133.2977 - logits_profile_predictions_loss: 68.6867 - logcount_predictions_loss: 64.6110 39/667 [>.............................] - ETA: 7:31 - loss: 131.5256 - logits_profile_predictions_loss: 68.5191 - logcount_predictions_loss: 63.0065 40/667 [>.............................] - ETA: 7:31 - loss: 130.3597 - logits_profile_predictions_loss: 68.8579 - logcount_predictions_loss: 61.5018 41/667 [>.............................] - ETA: 7:30 - loss: 128.5653 - logits_profile_predictions_loss: 68.5230 - logcount_predictions_loss: 60.0423 42/667 [>.............................] - ETA: 7:30 - loss: 127.4065 - logits_profile_predictions_loss: 68.7325 - logcount_predictions_loss: 58.6740 43/667 [>.............................] - ETA: 7:29 - loss: 126.4941 - logits_profile_predictions_loss: 69.1138 - logcount_predictions_loss: 57.3803 44/667 [>.............................] - ETA: 7:29 - loss: 125.1790 - logits_profile_predictions_loss: 69.0567 - logcount_predictions_loss: 56.1223 45/667 [=>............................] - ETA: 7:28 - loss: 124.0496 - logits_profile_predictions_loss: 69.1219 - logcount_predictions_loss: 54.9277 46/667 [=>............................] - ETA: 7:27 - loss: 122.7776 - logits_profile_predictions_loss: 69.0019 - logcount_predictions_loss: 53.7757 47/667 [=>............................] - ETA: 7:27 - loss: 121.5561 - logits_profile_predictions_loss: 68.8855 - logcount_predictions_loss: 52.6706 48/667 [=>............................] - ETA: 7:27 - loss: 120.3742 - logits_profile_predictions_loss: 68.7617 - logcount_predictions_loss: 51.6125 49/667 [=>............................] - ETA: 7:27 - loss: 119.2451 - logits_profile_predictions_loss: 68.6478 - logcount_predictions_loss: 50.5973 50/667 [=>............................] - ETA: 7:26 - loss: 118.4570 - logits_profile_predictions_loss: 68.8219 - logcount_predictions_loss: 49.6351 51/667 [=>............................] - ETA: 7:26 - loss: 117.6385 - logits_profile_predictions_loss: 68.9324 - logcount_predictions_loss: 48.7061 52/667 [=>............................] - ETA: 7:25 - loss: 116.7000 - logits_profile_predictions_loss: 68.8944 - logcount_predictions_loss: 47.8057 53/667 [=>............................] - ETA: 7:24 - loss: 115.8204 - logits_profile_predictions_loss: 68.8812 - logcount_predictions_loss: 46.9393 54/667 [=>............................] - ETA: 7:24 - loss: 114.9118 - logits_profile_predictions_loss: 68.8115 - logcount_predictions_loss: 46.1004 55/667 [=>............................] - ETA: 7:23 - loss: 113.9057 - logits_profile_predictions_loss: 68.6200 - logcount_predictions_loss: 45.2858 56/667 [=>............................] - ETA: 7:22 - loss: 113.2487 - logits_profile_predictions_loss: 68.7376 - logcount_predictions_loss: 44.5112 57/667 [=>............................] - ETA: 7:21 - loss: 112.2840 - logits_profile_predictions_loss: 68.5328 - logcount_predictions_loss: 43.7512 58/667 [=>............................] - ETA: 7:21 - loss: 111.6759 - logits_profile_predictions_loss: 68.6527 - logcount_predictions_loss: 43.0232 59/667 [=>............................] - ETA: 7:20 - loss: 110.8804 - logits_profile_predictions_loss: 68.5658 - logcount_predictions_loss: 42.3146 60/667 [=>............................] - ETA: 7:19 - loss: 110.1100 - logits_profile_predictions_loss: 68.4847 - logcount_predictions_loss: 41.6254 61/667 [=>............................] - ETA: 7:19 - loss: 109.3294 - logits_profile_predictions_loss: 68.3691 - 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- ETA: 13s - loss: 72.3781 - logits_profile_predictions_loss: 67.7156 - logcount_predictions_loss: 4.6625 650/667 [============================>.] - ETA: 12s - loss: 72.3830 - logits_profile_predictions_loss: 67.7264 - logcount_predictions_loss: 4.6566 651/667 [============================>.] - ETA: 12s - loss: 72.3875 - logits_profile_predictions_loss: 67.7365 - logcount_predictions_loss: 4.6510 652/667 [============================>.] - ETA: 11s - loss: 72.3925 - logits_profile_predictions_loss: 67.7473 - logcount_predictions_loss: 4.6451 653/667 [============================>.] - ETA: 10s - loss: 72.3878 - logits_profile_predictions_loss: 67.7486 - logcount_predictions_loss: 4.6392 654/667 [============================>.] - ETA: 9s - loss: 72.3960 - logits_profile_predictions_loss: 67.7627 - logcount_predictions_loss: 4.6333  655/667 [============================>.] - ETA: 9s - loss: 72.3800 - logits_profile_predictions_loss: 67.7527 - logcount_predictions_loss: 4.6272 656/667 [============================>.] - ETA: 8s - loss: 72.3519 - logits_profile_predictions_loss: 67.7306 - logcount_predictions_loss: 4.6213 657/667 [============================>.] - ETA: 7s - loss: 72.3409 - logits_profile_predictions_loss: 67.7253 - logcount_predictions_loss: 4.6156 658/667 [============================>.] - ETA: 6s - loss: 72.3256 - logits_profile_predictions_loss: 67.7159 - logcount_predictions_loss: 4.6097 659/667 [============================>.] - ETA: 6s - loss: 72.3245 - logits_profile_predictions_loss: 67.7205 - logcount_predictions_loss: 4.6040 660/667 [============================>.] - ETA: 5s - loss: 72.3034 - logits_profile_predictions_loss: 67.7052 - logcount_predictions_loss: 4.5981 661/667 [============================>.] - ETA: 4s - loss: 72.3049 - logits_profile_predictions_loss: 67.7125 - logcount_predictions_loss: 4.5924 662/667 [============================>.] - ETA: 3s - loss: 72.2954 - logits_profile_predictions_loss: 67.7086 - logcount_predictions_loss: 4.5868 663/667 [============================>.] - ETA: 3s - loss: 72.2995 - logits_profile_predictions_loss: 67.7183 - logcount_predictions_loss: 4.5812 664/667 [============================>.] - ETA: 2s - loss: 72.3005 - logits_profile_predictions_loss: 67.7250 - logcount_predictions_loss: 4.5755 665/667 [============================>.] - ETA: 1s - loss: 72.2819 - logits_profile_predictions_loss: 67.7121 - logcount_predictions_loss: 4.5698 666/667 [============================>.] - ETA: 0s - loss: 72.2659 - logits_profile_predictions_loss: 67.7018 - logcount_predictions_loss: 4.5641 667/667 [==============================] - ETA: 0s - loss: 72.2452 - logits_profile_predictions_loss: 67.6871 - logcount_predictions_loss: 4.5582 Epoch 1: val_loss improved from inf to 70.24996, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/ameen_2022/K562_bias/ameen_2022.NC/fold_0/models/chrombpnet.h5  667/667 [==============================] - 532s 790ms/step - loss: 72.2452 - logits_profile_predictions_loss: 67.6871 - logcount_predictions_loss: 4.5582 - val_loss: 70.2500 - val_logits_profile_predictions_loss: 69.4543 - val_logcount_predictions_loss: 0.7957 Epoch 2/50 1/667 [..............................] - ETA: 8:03 - loss: 79.9428 - logits_profile_predictions_loss: 79.0148 - logcount_predictions_loss: 0.9279 2/667 [..............................] - ETA: 7:55 - loss: 77.5725 - logits_profile_predictions_loss: 76.6532 - logcount_predictions_loss: 0.9193 3/667 [..............................] - ETA: 7:54 - loss: 73.7292 - logits_profile_predictions_loss: 72.9056 - logcount_predictions_loss: 0.8236 4/667 [..............................] - ETA: 7:53 - loss: 69.8222 - logits_profile_predictions_loss: 69.0051 - logcount_predictions_loss: 0.8171 5/667 [..............................] - ETA: 7:53 - loss: 71.5963 - logits_profile_predictions_loss: 70.7681 - logcount_predictions_loss: 0.8282 6/667 [..............................] - ETA: 7:52 - loss: 71.1833 - logits_profile_predictions_loss: 70.3686 - logcount_predictions_loss: 0.8147 7/667 [..............................] - ETA: 7:52 - loss: 70.4289 - logits_profile_predictions_loss: 69.6186 - logcount_predictions_loss: 0.8102 8/667 [..............................] - ETA: 7:51 - loss: 69.0524 - logits_profile_predictions_loss: 68.2666 - logcount_predictions_loss: 0.7858 9/667 [..............................] - ETA: 7:51 - loss: 68.5893 - logits_profile_predictions_loss: 67.7997 - logcount_predictions_loss: 0.7896 10/667 [..............................] - ETA: 7:50 - loss: 67.8350 - logits_profile_predictions_loss: 67.0670 - logcount_predictions_loss: 0.7681 11/667 [..............................] - ETA: 7:50 - loss: 67.5663 - logits_profile_predictions_loss: 66.8071 - logcount_predictions_loss: 0.7591 12/667 [..............................] - ETA: 7:49 - loss: 68.5984 - logits_profile_predictions_loss: 67.8216 - 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[>.............................] - ETA: 7:28 - loss: 70.0399 - logits_profile_predictions_loss: 69.2766 - logcount_predictions_loss: 0.7632 34/667 [>.............................] - ETA: 7:29 - loss: 69.7627 - logits_profile_predictions_loss: 69.0008 - logcount_predictions_loss: 0.7619 35/667 [>.............................] - ETA: 7:30 - loss: 69.9912 - logits_profile_predictions_loss: 69.2277 - logcount_predictions_loss: 0.7635 36/667 [>.............................] - ETA: 7:30 - loss: 69.9260 - logits_profile_predictions_loss: 69.1622 - logcount_predictions_loss: 0.7638 37/667 [>.............................] - ETA: 7:30 - loss: 69.6930 - logits_profile_predictions_loss: 68.9299 - logcount_predictions_loss: 0.7631 38/667 [>.............................] - ETA: 7:30 - loss: 69.9343 - logits_profile_predictions_loss: 69.1617 - logcount_predictions_loss: 0.7726 39/667 [>.............................] - ETA: 7:29 - loss: 70.0356 - logits_profile_predictions_loss: 69.2627 - 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[=>............................] - ETA: 7:23 - loss: 69.7634 - logits_profile_predictions_loss: 68.9693 - logcount_predictions_loss: 0.7941 61/667 [=>............................] - ETA: 7:23 - loss: 69.8819 - logits_profile_predictions_loss: 69.0859 - logcount_predictions_loss: 0.7960 62/667 [=>............................] - ETA: 7:23 - loss: 69.7699 - logits_profile_predictions_loss: 68.9670 - logcount_predictions_loss: 0.8029 63/667 [=>............................] - ETA: 7:24 - loss: 69.6531 - logits_profile_predictions_loss: 68.8463 - logcount_predictions_loss: 0.8068 64/667 [=>............................] - ETA: 7:23 - loss: 69.5405 - logits_profile_predictions_loss: 68.7370 - logcount_predictions_loss: 0.8035 65/667 [=>............................] - ETA: 7:23 - loss: 69.7349 - logits_profile_predictions_loss: 68.9264 - logcount_predictions_loss: 0.8085 66/667 [=>............................] - ETA: 7:22 - loss: 69.8176 - logits_profile_predictions_loss: 69.0041 - 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[==>...........................] - ETA: 7:10 - loss: 69.1099 - logits_profile_predictions_loss: 68.3123 - logcount_predictions_loss: 0.7976 88/667 [==>...........................] - ETA: 7:09 - loss: 69.0144 - logits_profile_predictions_loss: 68.2179 - logcount_predictions_loss: 0.7965 89/667 [===>..........................] - ETA: 7:09 - loss: 69.0559 - logits_profile_predictions_loss: 68.2598 - logcount_predictions_loss: 0.7961 90/667 [===>..........................] - ETA: 7:08 - loss: 69.0121 - logits_profile_predictions_loss: 68.2174 - logcount_predictions_loss: 0.7947 91/667 [===>..........................] - ETA: 7:08 - loss: 68.9682 - logits_profile_predictions_loss: 68.1745 - logcount_predictions_loss: 0.7937 92/667 [===>..........................] - ETA: 7:08 - loss: 68.7939 - logits_profile_predictions_loss: 68.0034 - logcount_predictions_loss: 0.7905 93/667 [===>..........................] - ETA: 7:07 - loss: 68.8793 - logits_profile_predictions_loss: 68.0880 - 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[===>..........................] - ETA: 6:57 - loss: 68.7370 - logits_profile_predictions_loss: 67.9547 - logcount_predictions_loss: 0.7823 108/667 [===>..........................] - ETA: 6:56 - loss: 68.8289 - logits_profile_predictions_loss: 68.0464 - logcount_predictions_loss: 0.7826 109/667 [===>..........................] - ETA: 6:55 - loss: 68.8044 - logits_profile_predictions_loss: 68.0236 - logcount_predictions_loss: 0.7808 110/667 [===>..........................] - ETA: 6:55 - loss: 68.7613 - logits_profile_predictions_loss: 67.9824 - logcount_predictions_loss: 0.7789 111/667 [===>..........................] - ETA: 6:54 - loss: 68.7411 - logits_profile_predictions_loss: 67.9627 - logcount_predictions_loss: 0.7785 112/667 [====>.........................] - ETA: 6:53 - loss: 68.8123 - logits_profile_predictions_loss: 68.0328 - logcount_predictions_loss: 0.7795 113/667 [====>.........................] - ETA: 6:53 - loss: 68.7877 - logits_profile_predictions_loss: 68.0082 - 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ETA: 4s - loss: 66.9998 - logits_profile_predictions_loss: 66.2925 - logcount_predictions_loss: 0.7074 662/667 [============================>.] - ETA: 3s - loss: 67.0233 - logits_profile_predictions_loss: 66.3163 - logcount_predictions_loss: 0.7070 663/667 [============================>.] - ETA: 3s - loss: 67.0127 - logits_profile_predictions_loss: 66.3057 - logcount_predictions_loss: 0.7070 664/667 [============================>.] - ETA: 2s - loss: 67.0117 - logits_profile_predictions_loss: 66.3050 - logcount_predictions_loss: 0.7067 665/667 [============================>.] - ETA: 1s - loss: 66.9967 - logits_profile_predictions_loss: 66.2901 - logcount_predictions_loss: 0.7065 666/667 [============================>.] - ETA: 0s - loss: 66.9857 - logits_profile_predictions_loss: 66.2793 - logcount_predictions_loss: 0.7064 667/667 [==============================] - ETA: 0s - loss: 66.9926 - logits_profile_predictions_loss: 66.2862 - logcount_predictions_loss: 0.7064 Epoch 2: val_loss improved from 70.24996 to 69.28147, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/ameen_2022/K562_bias/ameen_2022.NC/fold_0/models/chrombpnet.h5  667/667 [==============================] - 526s 788ms/step - loss: 66.9926 - logits_profile_predictions_loss: 66.2862 - logcount_predictions_loss: 0.7064 - val_loss: 69.2815 - val_logits_profile_predictions_loss: 68.7117 - val_logcount_predictions_loss: 0.5698 Epoch 3/50 1/667 [..............................] - ETA: 8:06 - loss: 63.8856 - logits_profile_predictions_loss: 63.2640 - logcount_predictions_loss: 0.6216 2/667 [..............................] - ETA: 8:01 - loss: 66.8896 - logits_profile_predictions_loss: 66.2287 - logcount_predictions_loss: 0.6608 3/667 [..............................] - ETA: 8:01 - loss: 65.2832 - logits_profile_predictions_loss: 64.5949 - logcount_predictions_loss: 0.6883 4/667 [..............................] - ETA: 8:03 - loss: 65.9315 - logits_profile_predictions_loss: 65.3169 - logcount_predictions_loss: 0.6146 5/667 [..............................] - ETA: 8:02 - loss: 65.2991 - logits_profile_predictions_loss: 64.7102 - logcount_predictions_loss: 0.5889 6/667 [..............................] - ETA: 8:01 - loss: 65.2810 - logits_profile_predictions_loss: 64.7137 - logcount_predictions_loss: 0.5674 7/667 [..............................] - ETA: 8:01 - loss: 65.7861 - logits_profile_predictions_loss: 65.2144 - logcount_predictions_loss: 0.5717 8/667 [..............................] - ETA: 8:00 - loss: 64.9607 - logits_profile_predictions_loss: 64.3991 - logcount_predictions_loss: 0.5616 9/667 [..............................] - ETA: 8:00 - loss: 65.4619 - logits_profile_predictions_loss: 64.8929 - logcount_predictions_loss: 0.5691 10/667 [..............................] - ETA: 7:59 - loss: 66.3280 - logits_profile_predictions_loss: 65.7546 - logcount_predictions_loss: 0.5733 11/667 [..............................] - ETA: 8:00 - loss: 66.9988 - 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ETA: 7:29 - loss: 66.9488 - logits_profile_predictions_loss: 66.3054 - logcount_predictions_loss: 0.6434 73/667 [==>...........................] - ETA: 7:28 - loss: 66.9020 - logits_profile_predictions_loss: 66.2559 - logcount_predictions_loss: 0.6461 74/667 [==>...........................] - ETA: 7:28 - loss: 66.9810 - logits_profile_predictions_loss: 66.3282 - logcount_predictions_loss: 0.6528 75/667 [==>...........................] - ETA: 7:27 - loss: 67.1283 - logits_profile_predictions_loss: 66.4669 - logcount_predictions_loss: 0.6613 76/667 [==>...........................] - ETA: 7:27 - loss: 67.1439 - logits_profile_predictions_loss: 66.4773 - logcount_predictions_loss: 0.6666 77/667 [==>...........................] - ETA: 7:26 - loss: 67.2348 - logits_profile_predictions_loss: 66.5624 - logcount_predictions_loss: 0.6723 78/667 [==>...........................] - ETA: 7:25 - loss: 67.2712 - logits_profile_predictions_loss: 66.5976 - logcount_predictions_loss: 0.6736 79/667 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[==============================] - ETA: 0s - loss: 66.0060 - logits_profile_predictions_loss: 65.3656 - logcount_predictions_loss: 0.6404 Epoch 3: val_loss improved from 69.28147 to 68.93184, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/ameen_2022/K562_bias/ameen_2022.NC/fold_0/models/chrombpnet.h5  667/667 [==============================] - 526s 788ms/step - loss: 66.0060 - logits_profile_predictions_loss: 65.3656 - logcount_predictions_loss: 0.6404 - val_loss: 68.9318 - val_logits_profile_predictions_loss: 68.2961 - val_logcount_predictions_loss: 0.6358 Epoch 4/50 1/667 [..............................] - ETA: 8:07 - loss: 64.7950 - logits_profile_predictions_loss: 64.1158 - logcount_predictions_loss: 0.6793 2/667 [..............................] - ETA: 8:02 - loss: 66.6558 - logits_profile_predictions_loss: 65.9866 - logcount_predictions_loss: 0.6692 3/667 [..............................] - ETA: 8:01 - loss: 63.3254 - 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[..............................] - ETA: 7:59 - loss: 66.0800 - logits_profile_predictions_loss: 65.4636 - logcount_predictions_loss: 0.6164 18/667 [..............................] - ETA: 7:59 - loss: 66.5559 - logits_profile_predictions_loss: 65.9478 - logcount_predictions_loss: 0.6082 19/667 [..............................] - ETA: 7:59 - loss: 66.9054 - logits_profile_predictions_loss: 66.2980 - logcount_predictions_loss: 0.6073 20/667 [..............................] - ETA: 8:00 - loss: 66.9855 - logits_profile_predictions_loss: 66.3900 - logcount_predictions_loss: 0.5955 21/667 [..............................] - ETA: 7:59 - loss: 66.3368 - logits_profile_predictions_loss: 65.7443 - logcount_predictions_loss: 0.5925 22/667 [..............................] - ETA: 7:59 - loss: 66.1941 - logits_profile_predictions_loss: 65.5954 - logcount_predictions_loss: 0.5987 23/667 [>.............................] - ETA: 7:58 - loss: 66.1169 - logits_profile_predictions_loss: 65.5128 - 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[>.............................] - ETA: 7:52 - loss: 65.1354 - logits_profile_predictions_loss: 64.5483 - logcount_predictions_loss: 0.5871 45/667 [=>............................] - ETA: 7:52 - loss: 65.1044 - logits_profile_predictions_loss: 64.5156 - logcount_predictions_loss: 0.5888 46/667 [=>............................] - ETA: 7:52 - loss: 65.2255 - logits_profile_predictions_loss: 64.6333 - logcount_predictions_loss: 0.5923 47/667 [=>............................] - ETA: 7:52 - loss: 64.9930 - logits_profile_predictions_loss: 64.4018 - logcount_predictions_loss: 0.5912 48/667 [=>............................] - ETA: 7:52 - loss: 65.2289 - logits_profile_predictions_loss: 64.6390 - logcount_predictions_loss: 0.5899 49/667 [=>............................] - ETA: 7:51 - loss: 65.1226 - logits_profile_predictions_loss: 64.5334 - logcount_predictions_loss: 0.5892 50/667 [=>............................] - ETA: 7:50 - loss: 65.1250 - logits_profile_predictions_loss: 64.5355 - 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ETA: 7:42 - loss: 65.1603 - logits_profile_predictions_loss: 64.5811 - logcount_predictions_loss: 0.5792 65/667 [=>............................] - ETA: 7:41 - loss: 65.2559 - logits_profile_predictions_loss: 64.6785 - logcount_predictions_loss: 0.5775 66/667 [=>............................] - ETA: 7:40 - loss: 65.3179 - logits_profile_predictions_loss: 64.7433 - logcount_predictions_loss: 0.5746 67/667 [==>...........................] - ETA: 7:39 - loss: 65.1598 - logits_profile_predictions_loss: 64.5853 - logcount_predictions_loss: 0.5745 68/667 [==>...........................] - ETA: 7:38 - loss: 64.9331 - logits_profile_predictions_loss: 64.3599 - logcount_predictions_loss: 0.5733 69/667 [==>...........................] - ETA: 7:37 - loss: 64.8895 - logits_profile_predictions_loss: 64.3140 - logcount_predictions_loss: 0.5755 70/667 [==>...........................] - ETA: 7:36 - loss: 64.8977 - logits_profile_predictions_loss: 64.3201 - logcount_predictions_loss: 0.5776 71/667 [==>...........................] - ETA: 7:35 - loss: 64.8525 - logits_profile_predictions_loss: 64.2743 - logcount_predictions_loss: 0.5782 72/667 [==>...........................] - ETA: 7:34 - loss: 64.8827 - logits_profile_predictions_loss: 64.3037 - logcount_predictions_loss: 0.5791 73/667 [==>...........................] - ETA: 7:33 - loss: 64.9941 - logits_profile_predictions_loss: 64.4155 - logcount_predictions_loss: 0.5786 74/667 [==>...........................] - ETA: 7:33 - loss: 65.0532 - logits_profile_predictions_loss: 64.4742 - logcount_predictions_loss: 0.5790 75/667 [==>...........................] - ETA: 7:32 - loss: 65.0927 - logits_profile_predictions_loss: 64.5111 - logcount_predictions_loss: 0.5816 76/667 [==>...........................] - ETA: 7:31 - loss: 65.1229 - logits_profile_predictions_loss: 64.5396 - logcount_predictions_loss: 0.5833 77/667 [==>...........................] - ETA: 7:31 - loss: 65.1462 - logits_profile_predictions_loss: 64.5631 - 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logits_profile_predictions_loss: 64.5172 - logcount_predictions_loss: 0.5812 85/667 [==>...........................] - ETA: 7:27 - loss: 65.1066 - logits_profile_predictions_loss: 64.5261 - logcount_predictions_loss: 0.5805 86/667 [==>...........................] - ETA: 7:26 - loss: 65.0989 - logits_profile_predictions_loss: 64.5198 - logcount_predictions_loss: 0.5791 87/667 [==>...........................] - ETA: 7:25 - loss: 64.9825 - logits_profile_predictions_loss: 64.4035 - logcount_predictions_loss: 0.5790 88/667 [==>...........................] - ETA: 7:24 - loss: 64.8798 - logits_profile_predictions_loss: 64.3014 - logcount_predictions_loss: 0.5784 89/667 [===>..........................] - ETA: 7:24 - loss: 64.8225 - logits_profile_predictions_loss: 64.2450 - logcount_predictions_loss: 0.5775 90/667 [===>..........................] - ETA: 7:23 - loss: 64.8817 - logits_profile_predictions_loss: 64.3043 - logcount_predictions_loss: 0.5774 91/667 [===>..........................] - 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logcount_predictions_loss: 0.5816 105/667 [===>..........................] - ETA: 7:10 - loss: 64.8823 - logits_profile_predictions_loss: 64.3023 - logcount_predictions_loss: 0.5800 106/667 [===>..........................] - ETA: 7:09 - loss: 64.7817 - logits_profile_predictions_loss: 64.2022 - logcount_predictions_loss: 0.5795 107/667 [===>..........................] - ETA: 7:08 - loss: 64.9685 - logits_profile_predictions_loss: 64.3894 - logcount_predictions_loss: 0.5791 108/667 [===>..........................] - ETA: 7:07 - loss: 64.9733 - logits_profile_predictions_loss: 64.3960 - logcount_predictions_loss: 0.5773 109/667 [===>..........................] - ETA: 7:06 - loss: 65.0415 - logits_profile_predictions_loss: 64.4648 - logcount_predictions_loss: 0.5767 110/667 [===>..........................] - ETA: 7:06 - loss: 65.0585 - logits_profile_predictions_loss: 64.4821 - logcount_predictions_loss: 0.5763 111/667 [===>..........................] - ETA: 7:05 - loss: 65.1966 - 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[=======>......................] - ETA: 6:13 - loss: 65.1254 - logits_profile_predictions_loss: 64.5496 - logcount_predictions_loss: 0.5759 179/667 [=======>......................] - ETA: 6:13 - loss: 65.2159 - logits_profile_predictions_loss: 64.6392 - logcount_predictions_loss: 0.5767 180/667 [=======>......................] - ETA: 6:12 - loss: 65.2243 - logits_profile_predictions_loss: 64.6479 - logcount_predictions_loss: 0.5765 181/667 [=======>......................] - ETA: 6:11 - loss: 65.1625 - logits_profile_predictions_loss: 64.5865 - logcount_predictions_loss: 0.5760 182/667 [=======>......................] - ETA: 6:11 - loss: 65.2786 - logits_profile_predictions_loss: 64.7021 - logcount_predictions_loss: 0.5765 183/667 [=======>......................] - ETA: 6:10 - loss: 65.3256 - logits_profile_predictions_loss: 64.7494 - logcount_predictions_loss: 0.5762 184/667 [=======>......................] - ETA: 6:10 - loss: 65.3308 - logits_profile_predictions_loss: 64.7553 - 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[=======>......................] - ETA: 5:58 - loss: 65.3711 - logits_profile_predictions_loss: 64.7949 - logcount_predictions_loss: 0.5762 199/667 [=======>......................] - ETA: 5:58 - loss: 65.3411 - logits_profile_predictions_loss: 64.7647 - logcount_predictions_loss: 0.5764 200/667 [=======>......................] - ETA: 5:57 - loss: 65.3554 - logits_profile_predictions_loss: 64.7795 - logcount_predictions_loss: 0.5759 201/667 [========>.....................] - ETA: 5:56 - loss: 65.3956 - logits_profile_predictions_loss: 64.8201 - logcount_predictions_loss: 0.5755 202/667 [========>.....................] - ETA: 5:55 - loss: 65.4169 - logits_profile_predictions_loss: 64.8410 - logcount_predictions_loss: 0.5759 203/667 [========>.....................] - ETA: 5:54 - loss: 65.3800 - logits_profile_predictions_loss: 64.8045 - logcount_predictions_loss: 0.5754 204/667 [========>.....................] - ETA: 5:54 - loss: 65.3969 - logits_profile_predictions_loss: 64.8214 - 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[============================>.] - ETA: 6s - loss: 65.3857 - logits_profile_predictions_loss: 64.8209 - logcount_predictions_loss: 0.5647 660/667 [============================>.] - ETA: 5s - loss: 65.3819 - logits_profile_predictions_loss: 64.8172 - logcount_predictions_loss: 0.5646 661/667 [============================>.] - ETA: 4s - loss: 65.3979 - logits_profile_predictions_loss: 64.8331 - logcount_predictions_loss: 0.5647 662/667 [============================>.] - ETA: 3s - loss: 65.3934 - logits_profile_predictions_loss: 64.8287 - logcount_predictions_loss: 0.5647 663/667 [============================>.] - ETA: 3s - loss: 65.3850 - logits_profile_predictions_loss: 64.8205 - logcount_predictions_loss: 0.5645 664/667 [============================>.] - ETA: 2s - loss: 65.3717 - logits_profile_predictions_loss: 64.8072 - logcount_predictions_loss: 0.5644 665/667 [============================>.] - ETA: 1s - loss: 65.3726 - logits_profile_predictions_loss: 64.8081 - logcount_predictions_loss: 0.5645 666/667 [============================>.] - ETA: 0s - loss: 65.3691 - logits_profile_predictions_loss: 64.8047 - logcount_predictions_loss: 0.5643 667/667 [==============================] - ETA: 0s - loss: 65.3820 - logits_profile_predictions_loss: 64.8175 - logcount_predictions_loss: 0.5644 Epoch 4: val_loss improved from 68.93184 to 68.33416, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/ameen_2022/K562_bias/ameen_2022.NC/fold_0/models/chrombpnet.h5  667/667 [==============================] - 527s 790ms/step - loss: 65.3820 - logits_profile_predictions_loss: 64.8175 - logcount_predictions_loss: 0.5644 - val_loss: 68.3342 - val_logits_profile_predictions_loss: 67.8626 - val_logcount_predictions_loss: 0.4716 Epoch 5/50 1/667 [..............................] - ETA: 8:11 - loss: 66.8033 - logits_profile_predictions_loss: 66.4497 - logcount_predictions_loss: 0.3536 2/667 [..............................] - ETA: 8:03 - loss: 70.0033 - logits_profile_predictions_loss: 69.4742 - logcount_predictions_loss: 0.5291 3/667 [..............................] - ETA: 8:02 - loss: 68.8026 - logits_profile_predictions_loss: 68.3139 - logcount_predictions_loss: 0.4888 4/667 [..............................] - ETA: 8:02 - loss: 67.2009 - logits_profile_predictions_loss: 66.7015 - logcount_predictions_loss: 0.4994 5/667 [..............................] - ETA: 8:05 - loss: 66.9293 - logits_profile_predictions_loss: 66.4284 - logcount_predictions_loss: 0.5009 6/667 [..............................] - ETA: 8:11 - loss: 64.6398 - logits_profile_predictions_loss: 64.1634 - logcount_predictions_loss: 0.4764 7/667 [..............................] - ETA: 8:12 - loss: 65.6930 - logits_profile_predictions_loss: 65.1915 - logcount_predictions_loss: 0.5014 8/667 [..............................] - ETA: 8:10 - loss: 66.6065 - logits_profile_predictions_loss: 66.1148 - logcount_predictions_loss: 0.4917 9/667 [..............................] - ETA: 8:09 - loss: 66.7150 - logits_profile_predictions_loss: 66.2150 - logcount_predictions_loss: 0.5000 10/667 [..............................] - ETA: 8:08 - loss: 67.1902 - logits_profile_predictions_loss: 66.6939 - logcount_predictions_loss: 0.4963 11/667 [..............................] - ETA: 8:08 - loss: 67.8326 - logits_profile_predictions_loss: 67.3309 - logcount_predictions_loss: 0.5017 12/667 [..............................] - ETA: 8:07 - loss: 68.5458 - logits_profile_predictions_loss: 68.0292 - logcount_predictions_loss: 0.5166 13/667 [..............................] - ETA: 8:06 - loss: 69.4885 - logits_profile_predictions_loss: 68.9700 - logcount_predictions_loss: 0.5185 14/667 [..............................] - ETA: 8:07 - loss: 68.6102 - logits_profile_predictions_loss: 68.0866 - logcount_predictions_loss: 0.5236 15/667 [..............................] - ETA: 8:11 - loss: 68.7978 - logits_profile_predictions_loss: 68.2702 - 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[>.............................] - ETA: 7:55 - loss: 67.6377 - logits_profile_predictions_loss: 67.1208 - logcount_predictions_loss: 0.5168 37/667 [>.............................] - ETA: 7:54 - loss: 67.6258 - logits_profile_predictions_loss: 67.1095 - logcount_predictions_loss: 0.5163 38/667 [>.............................] - ETA: 7:54 - loss: 67.8205 - logits_profile_predictions_loss: 67.3059 - logcount_predictions_loss: 0.5147 39/667 [>.............................] - ETA: 7:53 - loss: 67.6247 - logits_profile_predictions_loss: 67.1091 - logcount_predictions_loss: 0.5156 40/667 [>.............................] - ETA: 7:52 - loss: 67.7463 - logits_profile_predictions_loss: 67.2357 - logcount_predictions_loss: 0.5105 41/667 [>.............................] - ETA: 7:52 - loss: 67.5153 - logits_profile_predictions_loss: 67.0034 - logcount_predictions_loss: 0.5118 42/667 [>.............................] - ETA: 7:53 - loss: 67.1268 - logits_profile_predictions_loss: 66.6153 - 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[=>............................] - ETA: 7:42 - loss: 66.4106 - logits_profile_predictions_loss: 65.8730 - logcount_predictions_loss: 0.5377 64/667 [=>............................] - ETA: 7:41 - loss: 66.3178 - logits_profile_predictions_loss: 65.7829 - logcount_predictions_loss: 0.5350 65/667 [=>............................] - ETA: 7:41 - loss: 66.3221 - logits_profile_predictions_loss: 65.7884 - logcount_predictions_loss: 0.5337 66/667 [=>............................] - ETA: 7:41 - loss: 66.4165 - logits_profile_predictions_loss: 65.8819 - logcount_predictions_loss: 0.5346 67/667 [==>...........................] - ETA: 7:40 - loss: 66.3154 - logits_profile_predictions_loss: 65.7825 - logcount_predictions_loss: 0.5329 68/667 [==>...........................] - ETA: 7:40 - loss: 66.2427 - logits_profile_predictions_loss: 65.7079 - logcount_predictions_loss: 0.5348 69/667 [==>...........................] - ETA: 7:39 - loss: 66.2559 - logits_profile_predictions_loss: 65.7204 - 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[===>..........................] - ETA: 7:20 - loss: 66.0889 - logits_profile_predictions_loss: 65.5372 - logcount_predictions_loss: 0.5516 91/667 [===>..........................] - ETA: 7:20 - loss: 65.8937 - logits_profile_predictions_loss: 65.3432 - logcount_predictions_loss: 0.5504 92/667 [===>..........................] - ETA: 7:19 - loss: 65.7948 - logits_profile_predictions_loss: 65.2445 - logcount_predictions_loss: 0.5503 93/667 [===>..........................] - ETA: 7:18 - loss: 65.8818 - logits_profile_predictions_loss: 65.3314 - logcount_predictions_loss: 0.5504 94/667 [===>..........................] - ETA: 7:17 - loss: 65.7788 - logits_profile_predictions_loss: 65.2277 - logcount_predictions_loss: 0.5511 95/667 [===>..........................] - ETA: 7:16 - loss: 65.8465 - logits_profile_predictions_loss: 65.2962 - logcount_predictions_loss: 0.5503 96/667 [===>..........................] - ETA: 7:15 - loss: 65.9811 - logits_profile_predictions_loss: 65.4294 - 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[===>..........................] - ETA: 7:06 - loss: 66.0921 - logits_profile_predictions_loss: 65.5473 - logcount_predictions_loss: 0.5449 111/667 [===>..........................] - ETA: 7:06 - loss: 66.0218 - logits_profile_predictions_loss: 65.4769 - logcount_predictions_loss: 0.5449 112/667 [====>.........................] - ETA: 7:05 - loss: 66.0919 - logits_profile_predictions_loss: 65.5471 - logcount_predictions_loss: 0.5448 113/667 [====>.........................] - ETA: 7:05 - loss: 66.0258 - logits_profile_predictions_loss: 65.4815 - logcount_predictions_loss: 0.5443 114/667 [====>.........................] - ETA: 7:04 - loss: 66.0806 - logits_profile_predictions_loss: 65.5371 - logcount_predictions_loss: 0.5435 115/667 [====>.........................] - ETA: 7:04 - loss: 65.9911 - logits_profile_predictions_loss: 65.4491 - logcount_predictions_loss: 0.5421 116/667 [====>.........................] - ETA: 7:03 - loss: 66.0567 - logits_profile_predictions_loss: 65.5153 - 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[============================>.] - ETA: 3s - loss: 64.4516 - logits_profile_predictions_loss: 63.9559 - logcount_predictions_loss: 0.4957 664/667 [============================>.] - ETA: 2s - loss: 64.4614 - logits_profile_predictions_loss: 63.9656 - logcount_predictions_loss: 0.4958 665/667 [============================>.] - ETA: 1s - loss: 64.4497 - logits_profile_predictions_loss: 63.9542 - logcount_predictions_loss: 0.4955 666/667 [============================>.] - ETA: 0s - loss: 64.4478 - logits_profile_predictions_loss: 63.9524 - logcount_predictions_loss: 0.4954 667/667 [==============================] - ETA: 0s - loss: 64.4512 - logits_profile_predictions_loss: 63.9560 - logcount_predictions_loss: 0.4952 Epoch 6: val_loss improved from 68.16961 to 68.02845, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/ameen_2022/K562_bias/ameen_2022.NC/fold_0/models/chrombpnet.h5  667/667 [==============================] - 528s 792ms/step - loss: 64.4512 - logits_profile_predictions_loss: 63.9560 - logcount_predictions_loss: 0.4952 - val_loss: 68.0285 - val_logits_profile_predictions_loss: 67.5709 - val_logcount_predictions_loss: 0.4576 Epoch 7/50 1/667 [..............................] - ETA: 8:08 - loss: 65.2235 - logits_profile_predictions_loss: 64.8092 - logcount_predictions_loss: 0.4143 2/667 [..............................] - ETA: 8:03 - loss: 68.5323 - logits_profile_predictions_loss: 68.0677 - logcount_predictions_loss: 0.4646 3/667 [..............................] - ETA: 8:02 - loss: 64.7599 - logits_profile_predictions_loss: 64.3308 - logcount_predictions_loss: 0.4291 4/667 [..............................] - ETA: 8:02 - loss: 63.9158 - logits_profile_predictions_loss: 63.4772 - logcount_predictions_loss: 0.4386 5/667 [..............................] - ETA: 8:01 - loss: 65.3844 - logits_profile_predictions_loss: 64.9450 - logcount_predictions_loss: 0.4394 6/667 [..............................] - ETA: 8:02 - loss: 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68.01165, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/ameen_2022/K562_bias/ameen_2022.NC/fold_0/models/chrombpnet.h5  667/667 [==============================] - 529s 793ms/step - loss: 63.8829 - logits_profile_predictions_loss: 63.4083 - logcount_predictions_loss: 0.4745 - val_loss: 68.0117 - val_logits_profile_predictions_loss: 67.5662 - val_logcount_predictions_loss: 0.4455 Epoch 8/50 1/667 [..............................] - ETA: 8:11 - loss: 64.6826 - logits_profile_predictions_loss: 64.2289 - logcount_predictions_loss: 0.4537 2/667 [..............................] - ETA: 8:01 - loss: 66.0441 - logits_profile_predictions_loss: 65.5964 - logcount_predictions_loss: 0.4477 3/667 [..............................] - ETA: 8:02 - loss: 66.9241 - logits_profile_predictions_loss: 66.5183 - logcount_predictions_loss: 0.4058 4/667 [..............................] - ETA: 8:01 - loss: 65.0180 - logits_profile_predictions_loss: 64.6437 - logcount_predictions_loss: 0.3742 5/667 [..............................] - ETA: 8:00 - loss: 63.7580 - logits_profile_predictions_loss: 63.3644 - logcount_predictions_loss: 0.3936 6/667 [..............................] - ETA: 8:00 - loss: 63.9000 - logits_profile_predictions_loss: 63.4805 - logcount_predictions_loss: 0.4195 7/667 [..............................] - ETA: 8:00 - loss: 64.5445 - logits_profile_predictions_loss: 64.1047 - logcount_predictions_loss: 0.4398 8/667 [..............................] - ETA: 8:03 - loss: 64.0988 - logits_profile_predictions_loss: 63.6818 - logcount_predictions_loss: 0.4170 9/667 [..............................] - ETA: 8:03 - loss: 66.3365 - logits_profile_predictions_loss: 65.9135 - logcount_predictions_loss: 0.4231 10/667 [..............................] - ETA: 8:03 - loss: 66.9438 - logits_profile_predictions_loss: 66.5023 - logcount_predictions_loss: 0.4415 11/667 [..............................] - ETA: 8:02 - loss: 67.3426 - logits_profile_predictions_loss: 66.8997 - logcount_predictions_loss: 0.4430 12/667 [..............................] - ETA: 8:01 - loss: 66.7919 - logits_profile_predictions_loss: 66.3576 - logcount_predictions_loss: 0.4342 13/667 [..............................] - ETA: 8:00 - loss: 66.5993 - logits_profile_predictions_loss: 66.1563 - logcount_predictions_loss: 0.4430 14/667 [..............................] - ETA: 7:59 - loss: 66.6579 - logits_profile_predictions_loss: 66.2176 - logcount_predictions_loss: 0.4403 15/667 [..............................] - ETA: 7:59 - loss: 66.0498 - logits_profile_predictions_loss: 65.6082 - logcount_predictions_loss: 0.4416 16/667 [..............................] - ETA: 7:58 - loss: 66.0956 - logits_profile_predictions_loss: 65.6531 - logcount_predictions_loss: 0.4424 17/667 [..............................] - ETA: 7:58 - loss: 66.1956 - logits_profile_predictions_loss: 65.7477 - logcount_predictions_loss: 0.4479 18/667 [..............................] - ETA: 7:58 - loss: 66.0135 - logits_profile_predictions_loss: 65.5648 - logcount_predictions_loss: 0.4487 19/667 [..............................] - ETA: 7:58 - loss: 66.7951 - logits_profile_predictions_loss: 66.3306 - logcount_predictions_loss: 0.4646 20/667 [..............................] - ETA: 7:57 - loss: 66.0104 - logits_profile_predictions_loss: 65.5463 - logcount_predictions_loss: 0.4641 21/667 [..............................] - ETA: 7:57 - loss: 65.6817 - logits_profile_predictions_loss: 65.2194 - logcount_predictions_loss: 0.4623 22/667 [..............................] - ETA: 7:57 - loss: 65.4670 - logits_profile_predictions_loss: 65.0064 - logcount_predictions_loss: 0.4607 23/667 [>.............................] - ETA: 7:58 - loss: 64.8106 - logits_profile_predictions_loss: 64.3502 - logcount_predictions_loss: 0.4604 24/667 [>.............................] - ETA: 7:57 - loss: 64.5111 - logits_profile_predictions_loss: 64.0507 - logcount_predictions_loss: 0.4604 25/667 [>.............................] - ETA: 7:57 - loss: 64.0451 - logits_profile_predictions_loss: 63.5845 - logcount_predictions_loss: 0.4607 26/667 [>.............................] - ETA: 7:57 - loss: 64.4281 - logits_profile_predictions_loss: 63.9687 - logcount_predictions_loss: 0.4594 27/667 [>.............................] - ETA: 7:57 - loss: 64.0627 - logits_profile_predictions_loss: 63.6053 - logcount_predictions_loss: 0.4574 28/667 [>.............................] - ETA: 7:56 - loss: 64.3937 - logits_profile_predictions_loss: 63.9371 - logcount_predictions_loss: 0.4566 29/667 [>.............................] - ETA: 7:55 - loss: 64.3046 - logits_profile_predictions_loss: 63.8519 - logcount_predictions_loss: 0.4527 30/667 [>.............................] - ETA: 7:54 - loss: 64.2026 - logits_profile_predictions_loss: 63.7545 - logcount_predictions_loss: 0.4481 31/667 [>.............................] - ETA: 7:54 - loss: 63.5858 - logits_profile_predictions_loss: 63.1367 - logcount_predictions_loss: 0.4491 32/667 [>.............................] - ETA: 7:39 - loss: 63.5903 - logits_profile_predictions_loss: 63.1415 - logcount_predictions_loss: 0.4488 33/667 [>.............................] - ETA: 7:39 - loss: 63.3855 - logits_profile_predictions_loss: 62.9379 - logcount_predictions_loss: 0.4475 34/667 [>.............................] - ETA: 7:39 - loss: 63.5036 - logits_profile_predictions_loss: 63.0552 - logcount_predictions_loss: 0.4484 35/667 [>.............................] - ETA: 7:39 - loss: 63.9479 - logits_profile_predictions_loss: 63.5032 - logcount_predictions_loss: 0.4448 36/667 [>.............................] - ETA: 7:38 - loss: 64.0887 - logits_profile_predictions_loss: 63.6446 - logcount_predictions_loss: 0.4441 37/667 [>.............................] - ETA: 7:38 - loss: 63.8880 - logits_profile_predictions_loss: 63.4411 - logcount_predictions_loss: 0.4469 38/667 [>.............................] - ETA: 7:38 - loss: 63.8718 - logits_profile_predictions_loss: 63.4079 - logcount_predictions_loss: 0.4639 39/667 [>.............................] - ETA: 7:37 - loss: 63.5934 - logits_profile_predictions_loss: 63.1283 - logcount_predictions_loss: 0.4652 40/667 [>.............................] - ETA: 7:37 - loss: 63.6745 - logits_profile_predictions_loss: 63.2014 - logcount_predictions_loss: 0.4731 41/667 [>.............................] - ETA: 7:37 - loss: 63.8284 - logits_profile_predictions_loss: 63.3453 - logcount_predictions_loss: 0.4831 42/667 [>.............................] - ETA: 7:37 - loss: 63.7204 - logits_profile_predictions_loss: 63.2377 - logcount_predictions_loss: 0.4827 43/667 [>.............................] - ETA: 7:37 - loss: 63.8023 - logits_profile_predictions_loss: 63.3181 - logcount_predictions_loss: 0.4842 44/667 [>.............................] - ETA: 7:36 - loss: 63.7718 - logits_profile_predictions_loss: 63.2904 - logcount_predictions_loss: 0.4814 45/667 [=>............................] - ETA: 7:36 - loss: 63.7119 - logits_profile_predictions_loss: 63.2337 - logcount_predictions_loss: 0.4782 46/667 [=>............................] - ETA: 7:36 - loss: 63.4469 - logits_profile_predictions_loss: 62.9654 - logcount_predictions_loss: 0.4815 47/667 [=>............................] - ETA: 7:35 - loss: 63.3979 - logits_profile_predictions_loss: 62.9157 - logcount_predictions_loss: 0.4822 48/667 [=>............................] - ETA: 7:35 - loss: 63.3470 - logits_profile_predictions_loss: 62.8661 - logcount_predictions_loss: 0.4809 49/667 [=>............................] - ETA: 7:35 - loss: 63.4501 - logits_profile_predictions_loss: 62.9660 - logcount_predictions_loss: 0.4840 50/667 [=>............................] - ETA: 7:34 - loss: 63.2889 - logits_profile_predictions_loss: 62.8051 - logcount_predictions_loss: 0.4838 51/667 [=>............................] - ETA: 7:34 - loss: 63.3033 - logits_profile_predictions_loss: 62.8208 - logcount_predictions_loss: 0.4826 52/667 [=>............................] - ETA: 7:34 - loss: 63.2697 - logits_profile_predictions_loss: 62.7883 - logcount_predictions_loss: 0.4814 53/667 [=>............................] - ETA: 7:34 - loss: 63.4118 - logits_profile_predictions_loss: 62.9302 - logcount_predictions_loss: 0.4816 54/667 [=>............................] - ETA: 7:33 - loss: 63.3163 - logits_profile_predictions_loss: 62.8331 - logcount_predictions_loss: 0.4832 55/667 [=>............................] - ETA: 7:33 - loss: 63.3908 - logits_profile_predictions_loss: 62.9060 - logcount_predictions_loss: 0.4848 56/667 [=>............................] - ETA: 7:32 - loss: 63.3918 - logits_profile_predictions_loss: 62.9061 - logcount_predictions_loss: 0.4857 57/667 [=>............................] - ETA: 7:31 - loss: 63.3514 - logits_profile_predictions_loss: 62.8666 - logcount_predictions_loss: 0.4848 58/667 [=>............................] - ETA: 7:31 - loss: 63.4272 - logits_profile_predictions_loss: 62.9415 - logcount_predictions_loss: 0.4857 59/667 [=>............................] - ETA: 7:30 - loss: 63.2667 - logits_profile_predictions_loss: 62.7833 - logcount_predictions_loss: 0.4834 60/667 [=>............................] - ETA: 7:30 - loss: 63.2880 - logits_profile_predictions_loss: 62.8064 - logcount_predictions_loss: 0.4816 61/667 [=>............................] - ETA: 7:29 - loss: 63.2946 - logits_profile_predictions_loss: 62.8158 - logcount_predictions_loss: 0.4788 62/667 [=>............................] - ETA: 7:28 - loss: 63.2165 - logits_profile_predictions_loss: 62.7360 - logcount_predictions_loss: 0.4805 63/667 [=>............................] - ETA: 7:28 - loss: 63.2431 - logits_profile_predictions_loss: 62.7646 - logcount_predictions_loss: 0.4784 64/667 [=>............................] - ETA: 7:27 - loss: 63.1132 - logits_profile_predictions_loss: 62.6348 - logcount_predictions_loss: 0.4785 65/667 [=>............................] - ETA: 7:27 - loss: 63.0670 - 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ETA: 7:22 - loss: 63.2942 - logits_profile_predictions_loss: 62.8110 - logcount_predictions_loss: 0.4832 73/667 [==>...........................] - ETA: 7:22 - loss: 63.2620 - logits_profile_predictions_loss: 62.7803 - logcount_predictions_loss: 0.4818 74/667 [==>...........................] - ETA: 7:21 - loss: 63.1914 - logits_profile_predictions_loss: 62.7111 - logcount_predictions_loss: 0.4804 75/667 [==>...........................] - ETA: 7:20 - loss: 63.0654 - logits_profile_predictions_loss: 62.5853 - logcount_predictions_loss: 0.4802 76/667 [==>...........................] - ETA: 7:20 - loss: 63.1194 - logits_profile_predictions_loss: 62.6384 - logcount_predictions_loss: 0.4810 77/667 [==>...........................] - ETA: 7:20 - loss: 63.1206 - logits_profile_predictions_loss: 62.6383 - logcount_predictions_loss: 0.4823 78/667 [==>...........................] - ETA: 7:20 - loss: 63.0998 - logits_profile_predictions_loss: 62.6193 - logcount_predictions_loss: 0.4806 79/667 [==>...........................] - ETA: 7:20 - loss: 63.1377 - logits_profile_predictions_loss: 62.6578 - logcount_predictions_loss: 0.4799 80/667 [==>...........................] - ETA: 7:19 - loss: 63.1674 - logits_profile_predictions_loss: 62.6852 - logcount_predictions_loss: 0.4823 81/667 [==>...........................] - ETA: 7:19 - loss: 63.1939 - logits_profile_predictions_loss: 62.7122 - logcount_predictions_loss: 0.4817 82/667 [==>...........................] - ETA: 7:18 - loss: 63.0441 - logits_profile_predictions_loss: 62.5629 - logcount_predictions_loss: 0.4812 83/667 [==>...........................] - ETA: 7:18 - loss: 63.1374 - logits_profile_predictions_loss: 62.6553 - logcount_predictions_loss: 0.4821 84/667 [==>...........................] - ETA: 7:17 - loss: 63.2775 - logits_profile_predictions_loss: 62.7917 - logcount_predictions_loss: 0.4858 85/667 [==>...........................] - ETA: 7:16 - loss: 63.1347 - logits_profile_predictions_loss: 62.6495 - logcount_predictions_loss: 0.4853 86/667 [==>...........................] - ETA: 7:16 - loss: 63.2162 - logits_profile_predictions_loss: 62.7317 - logcount_predictions_loss: 0.4846 87/667 [==>...........................] - ETA: 7:15 - loss: 63.3357 - logits_profile_predictions_loss: 62.8480 - logcount_predictions_loss: 0.4878 88/667 [==>...........................] - ETA: 7:14 - loss: 63.3402 - logits_profile_predictions_loss: 62.8535 - logcount_predictions_loss: 0.4867 89/667 [===>..........................] - ETA: 7:13 - loss: 63.2660 - logits_profile_predictions_loss: 62.7813 - logcount_predictions_loss: 0.4847 90/667 [===>..........................] - ETA: 7:13 - loss: 63.1765 - logits_profile_predictions_loss: 62.6904 - logcount_predictions_loss: 0.4861 91/667 [===>..........................] - ETA: 7:12 - loss: 63.1833 - logits_profile_predictions_loss: 62.6972 - logcount_predictions_loss: 0.4861 92/667 [===>..........................] - ETA: 7:11 - loss: 63.0924 - logits_profile_predictions_loss: 62.6064 - logcount_predictions_loss: 0.4860 93/667 [===>..........................] - ETA: 7:10 - loss: 63.1947 - logits_profile_predictions_loss: 62.7102 - logcount_predictions_loss: 0.4845 94/667 [===>..........................] - ETA: 7:10 - loss: 63.2635 - logits_profile_predictions_loss: 62.7795 - logcount_predictions_loss: 0.4840 95/667 [===>..........................] - ETA: 7:09 - loss: 63.3487 - logits_profile_predictions_loss: 62.8639 - logcount_predictions_loss: 0.4848 96/667 [===>..........................] - ETA: 7:08 - loss: 63.4635 - logits_profile_predictions_loss: 62.9792 - logcount_predictions_loss: 0.4844 97/667 [===>..........................] - ETA: 7:07 - loss: 63.4700 - logits_profile_predictions_loss: 62.9860 - logcount_predictions_loss: 0.4840 98/667 [===>..........................] - ETA: 7:07 - loss: 63.2983 - logits_profile_predictions_loss: 62.8148 - logcount_predictions_loss: 0.4836 99/667 [===>..........................] - 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[===>..........................] - ETA: 7:01 - loss: 63.0945 - logits_profile_predictions_loss: 62.6100 - logcount_predictions_loss: 0.4846 107/667 [===>..........................] - ETA: 7:00 - loss: 63.0240 - logits_profile_predictions_loss: 62.5395 - logcount_predictions_loss: 0.4846 108/667 [===>..........................] - ETA: 6:59 - loss: 63.0043 - logits_profile_predictions_loss: 62.5197 - logcount_predictions_loss: 0.4847 109/667 [===>..........................] - ETA: 6:59 - loss: 63.0228 - logits_profile_predictions_loss: 62.5370 - logcount_predictions_loss: 0.4859 110/667 [===>..........................] - ETA: 6:58 - loss: 62.9489 - logits_profile_predictions_loss: 62.4626 - logcount_predictions_loss: 0.4863 111/667 [===>..........................] - ETA: 6:57 - loss: 62.8698 - logits_profile_predictions_loss: 62.3846 - logcount_predictions_loss: 0.4852 112/667 [====>.........................] - ETA: 6:56 - loss: 62.9460 - logits_profile_predictions_loss: 62.4607 - logcount_predictions_loss: 0.4853 113/667 [====>.........................] - ETA: 6:55 - loss: 63.0425 - logits_profile_predictions_loss: 62.5546 - logcount_predictions_loss: 0.4879 114/667 [====>.........................] - ETA: 6:55 - loss: 63.0771 - logits_profile_predictions_loss: 62.5894 - logcount_predictions_loss: 0.4876 115/667 [====>.........................] - ETA: 6:54 - loss: 63.0921 - logits_profile_predictions_loss: 62.6051 - logcount_predictions_loss: 0.4870 116/667 [====>.........................] - ETA: 6:53 - loss: 63.0774 - logits_profile_predictions_loss: 62.5909 - logcount_predictions_loss: 0.4866 117/667 [====>.........................] - ETA: 6:52 - loss: 63.0615 - logits_profile_predictions_loss: 62.5756 - logcount_predictions_loss: 0.4859 118/667 [====>.........................] - ETA: 6:52 - loss: 63.0655 - logits_profile_predictions_loss: 62.5803 - logcount_predictions_loss: 0.4852 119/667 [====>.........................] - ETA: 6:51 - loss: 63.0440 - 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[=========================>....] - ETA: 1:01 - loss: 63.6611 - logits_profile_predictions_loss: 63.1918 - logcount_predictions_loss: 0.4693 587/667 [=========================>....] - ETA: 1:00 - loss: 63.6662 - logits_profile_predictions_loss: 63.1969 - logcount_predictions_loss: 0.4693 588/667 [=========================>....] - ETA: 1:00 - loss: 63.6572 - logits_profile_predictions_loss: 63.1881 - logcount_predictions_loss: 0.4691 589/667 [=========================>....] - ETA: 59s - loss: 63.6704 - logits_profile_predictions_loss: 63.2012 - logcount_predictions_loss: 0.4693  590/667 [=========================>....] - ETA: 58s - loss: 63.6713 - logits_profile_predictions_loss: 63.2020 - logcount_predictions_loss: 0.4694 591/667 [=========================>....] - ETA: 57s - loss: 63.6670 - logits_profile_predictions_loss: 63.1979 - logcount_predictions_loss: 0.4691 592/667 [=========================>....] - ETA: 57s - loss: 63.6598 - logits_profile_predictions_loss: 63.1908 - logcount_predictions_loss: 0.4690 593/667 [=========================>....] - ETA: 56s - loss: 63.6677 - logits_profile_predictions_loss: 63.1986 - logcount_predictions_loss: 0.4691 594/667 [=========================>....] - ETA: 55s - loss: 63.6709 - logits_profile_predictions_loss: 63.2019 - logcount_predictions_loss: 0.4690 595/667 [=========================>....] - ETA: 54s - loss: 63.6674 - logits_profile_predictions_loss: 63.1985 - logcount_predictions_loss: 0.4689 596/667 [=========================>....] - ETA: 54s - loss: 63.6600 - logits_profile_predictions_loss: 63.1911 - logcount_predictions_loss: 0.4690 597/667 [=========================>....] - ETA: 53s - loss: 63.6572 - logits_profile_predictions_loss: 63.1883 - logcount_predictions_loss: 0.4689 598/667 [=========================>....] - ETA: 52s - loss: 63.6425 - logits_profile_predictions_loss: 63.1739 - logcount_predictions_loss: 0.4686 599/667 [=========================>....] - ETA: 51s - loss: 63.6591 - logits_profile_predictions_loss: 63.1905 - logcount_predictions_loss: 0.4687 600/667 [=========================>....] - ETA: 50s - loss: 63.6358 - logits_profile_predictions_loss: 63.1671 - logcount_predictions_loss: 0.4686 601/667 [==========================>...] - ETA: 50s - loss: 63.6472 - logits_profile_predictions_loss: 63.1785 - logcount_predictions_loss: 0.4687 602/667 [==========================>...] - ETA: 49s - loss: 63.6456 - logits_profile_predictions_loss: 63.1772 - logcount_predictions_loss: 0.4685 603/667 [==========================>...] - ETA: 48s - loss: 63.6503 - logits_profile_predictions_loss: 63.1819 - logcount_predictions_loss: 0.4685 604/667 [==========================>...] - ETA: 47s - loss: 63.6273 - logits_profile_predictions_loss: 63.1589 - logcount_predictions_loss: 0.4684 605/667 [==========================>...] - ETA: 47s - loss: 63.6298 - logits_profile_predictions_loss: 63.1616 - logcount_predictions_loss: 0.4683 606/667 [==========================>...] - ETA: 46s - loss: 63.6284 - logits_profile_predictions_loss: 63.1600 - logcount_predictions_loss: 0.4684 607/667 [==========================>...] - ETA: 45s - loss: 63.6148 - logits_profile_predictions_loss: 63.1466 - logcount_predictions_loss: 0.4683 608/667 [==========================>...] - ETA: 44s - loss: 63.6227 - logits_profile_predictions_loss: 63.1546 - logcount_predictions_loss: 0.4681 609/667 [==========================>...] - ETA: 44s - loss: 63.6226 - logits_profile_predictions_loss: 63.1547 - logcount_predictions_loss: 0.4679 610/667 [==========================>...] - ETA: 43s - loss: 63.6133 - logits_profile_predictions_loss: 63.1452 - logcount_predictions_loss: 0.4681 611/667 [==========================>...] - ETA: 42s - loss: 63.6049 - logits_profile_predictions_loss: 63.1367 - logcount_predictions_loss: 0.4683 612/667 [==========================>...] - ETA: 41s - loss: 63.6153 - logits_profile_predictions_loss: 63.1470 - logcount_predictions_loss: 0.4683 613/667 [==========================>...] - ETA: 41s - loss: 63.6193 - logits_profile_predictions_loss: 63.1510 - logcount_predictions_loss: 0.4684 614/667 [==========================>...] - ETA: 40s - loss: 63.6156 - logits_profile_predictions_loss: 63.1470 - logcount_predictions_loss: 0.4687 615/667 [==========================>...] - ETA: 39s - loss: 63.6306 - logits_profile_predictions_loss: 63.1615 - logcount_predictions_loss: 0.4692 616/667 [==========================>...] - ETA: 38s - loss: 63.6227 - logits_profile_predictions_loss: 63.1536 - logcount_predictions_loss: 0.4691 617/667 [==========================>...] - ETA: 38s - loss: 63.6228 - logits_profile_predictions_loss: 63.1540 - logcount_predictions_loss: 0.4689 618/667 [==========================>...] - ETA: 37s - loss: 63.6231 - logits_profile_predictions_loss: 63.1544 - logcount_predictions_loss: 0.4687 619/667 [==========================>...] - ETA: 36s - loss: 63.6283 - logits_profile_predictions_loss: 63.1596 - logcount_predictions_loss: 0.4687 620/667 [==========================>...] - ETA: 35s - loss: 63.6461 - logits_profile_predictions_loss: 63.1777 - logcount_predictions_loss: 0.4685 621/667 [==========================>...] - ETA: 34s - loss: 63.6386 - logits_profile_predictions_loss: 63.1704 - logcount_predictions_loss: 0.4683 622/667 [==========================>...] - ETA: 34s - loss: 63.6272 - logits_profile_predictions_loss: 63.1590 - logcount_predictions_loss: 0.4682 623/667 [===========================>..] - ETA: 33s - loss: 63.6433 - logits_profile_predictions_loss: 63.1752 - logcount_predictions_loss: 0.4681 624/667 [===========================>..] - ETA: 32s - loss: 63.6535 - logits_profile_predictions_loss: 63.1852 - logcount_predictions_loss: 0.4683 625/667 [===========================>..] - ETA: 31s - loss: 63.6411 - logits_profile_predictions_loss: 63.1730 - logcount_predictions_loss: 0.4681 626/667 [===========================>..] - ETA: 31s - loss: 63.6359 - logits_profile_predictions_loss: 63.1680 - logcount_predictions_loss: 0.4679 627/667 [===========================>..] - ETA: 30s - loss: 63.6214 - logits_profile_predictions_loss: 63.1537 - logcount_predictions_loss: 0.4677 628/667 [===========================>..] - ETA: 29s - loss: 63.6068 - logits_profile_predictions_loss: 63.1394 - logcount_predictions_loss: 0.4675 629/667 [===========================>..] - ETA: 28s - loss: 63.5954 - logits_profile_predictions_loss: 63.1279 - logcount_predictions_loss: 0.4675 630/667 [===========================>..] - ETA: 28s - loss: 63.6109 - logits_profile_predictions_loss: 63.1433 - logcount_predictions_loss: 0.4677 631/667 [===========================>..] - ETA: 27s - loss: 63.6176 - logits_profile_predictions_loss: 63.1501 - logcount_predictions_loss: 0.4676 632/667 [===========================>..] - ETA: 26s - loss: 63.6186 - logits_profile_predictions_loss: 63.1511 - logcount_predictions_loss: 0.4675 633/667 [===========================>..] - ETA: 25s - loss: 63.6262 - logits_profile_predictions_loss: 63.1588 - logcount_predictions_loss: 0.4674 634/667 [===========================>..] - ETA: 25s - loss: 63.6160 - logits_profile_predictions_loss: 63.1488 - logcount_predictions_loss: 0.4673 635/667 [===========================>..] - ETA: 24s - loss: 63.6351 - logits_profile_predictions_loss: 63.1680 - logcount_predictions_loss: 0.4671 636/667 [===========================>..] - ETA: 23s - loss: 63.6203 - logits_profile_predictions_loss: 63.1533 - logcount_predictions_loss: 0.4671 637/667 [===========================>..] - ETA: 22s - loss: 63.6206 - logits_profile_predictions_loss: 63.1537 - logcount_predictions_loss: 0.4669 638/667 [===========================>..] - ETA: 22s - loss: 63.6084 - logits_profile_predictions_loss: 63.1416 - logcount_predictions_loss: 0.4668 639/667 [===========================>..] - ETA: 21s - loss: 63.6027 - logits_profile_predictions_loss: 63.1358 - logcount_predictions_loss: 0.4669 640/667 [===========================>..] - ETA: 20s - loss: 63.5934 - logits_profile_predictions_loss: 63.1267 - logcount_predictions_loss: 0.4667 641/667 [===========================>..] - ETA: 19s - loss: 63.5963 - logits_profile_predictions_loss: 63.1297 - logcount_predictions_loss: 0.4666 642/667 [===========================>..] - ETA: 19s - loss: 63.5860 - logits_profile_predictions_loss: 63.1197 - logcount_predictions_loss: 0.4663 643/667 [===========================>..] - ETA: 18s - loss: 63.6037 - logits_profile_predictions_loss: 63.1374 - logcount_predictions_loss: 0.4664 644/667 [===========================>..] - ETA: 17s - loss: 63.6095 - logits_profile_predictions_loss: 63.1433 - logcount_predictions_loss: 0.4662 645/667 [============================>.] - ETA: 16s - loss: 63.6166 - logits_profile_predictions_loss: 63.1505 - logcount_predictions_loss: 0.4662 646/667 [============================>.] - ETA: 15s - loss: 63.6138 - logits_profile_predictions_loss: 63.1477 - logcount_predictions_loss: 0.4661 647/667 [============================>.] - ETA: 15s - loss: 63.6235 - logits_profile_predictions_loss: 63.1576 - logcount_predictions_loss: 0.4659 648/667 [============================>.] - ETA: 14s - loss: 63.6454 - logits_profile_predictions_loss: 63.1794 - logcount_predictions_loss: 0.4660 649/667 [============================>.] - ETA: 13s - loss: 63.6461 - logits_profile_predictions_loss: 63.1802 - logcount_predictions_loss: 0.4660 650/667 [============================>.] - ETA: 12s - loss: 63.6573 - logits_profile_predictions_loss: 63.1913 - logcount_predictions_loss: 0.4660 651/667 [============================>.] - ETA: 12s - loss: 63.6577 - logits_profile_predictions_loss: 63.1916 - logcount_predictions_loss: 0.4661 652/667 [============================>.] - ETA: 11s - loss: 63.6609 - logits_profile_predictions_loss: 63.1949 - logcount_predictions_loss: 0.4661 653/667 [============================>.] - ETA: 10s - loss: 63.6666 - logits_profile_predictions_loss: 63.2006 - logcount_predictions_loss: 0.4660 654/667 [============================>.] - ETA: 9s - loss: 63.6475 - logits_profile_predictions_loss: 63.1816 - logcount_predictions_loss: 0.4659  655/667 [============================>.] - ETA: 9s - loss: 63.6685 - logits_profile_predictions_loss: 63.2024 - logcount_predictions_loss: 0.4661 656/667 [============================>.] - ETA: 8s - loss: 63.6664 - logits_profile_predictions_loss: 63.2004 - logcount_predictions_loss: 0.4661 657/667 [============================>.] - ETA: 7s - loss: 63.6596 - logits_profile_predictions_loss: 63.1937 - logcount_predictions_loss: 0.4660 658/667 [============================>.] - ETA: 6s - loss: 63.6508 - logits_profile_predictions_loss: 63.1846 - logcount_predictions_loss: 0.4662 659/667 [============================>.] - ETA: 6s - loss: 63.6526 - logits_profile_predictions_loss: 63.1866 - logcount_predictions_loss: 0.4661 660/667 [============================>.] - ETA: 5s - loss: 63.6589 - logits_profile_predictions_loss: 63.1927 - logcount_predictions_loss: 0.4663 661/667 [============================>.] - ETA: 4s - loss: 63.6418 - logits_profile_predictions_loss: 63.1753 - logcount_predictions_loss: 0.4665 662/667 [============================>.] - ETA: 3s - loss: 63.6513 - logits_profile_predictions_loss: 63.1850 - logcount_predictions_loss: 0.4663 663/667 [============================>.] - ETA: 3s - loss: 63.6431 - logits_profile_predictions_loss: 63.1766 - logcount_predictions_loss: 0.4665 664/667 [============================>.] - ETA: 2s - loss: 63.6536 - logits_profile_predictions_loss: 63.1866 - logcount_predictions_loss: 0.4670 665/667 [============================>.] - ETA: 1s - loss: 63.6642 - logits_profile_predictions_loss: 63.1972 - logcount_predictions_loss: 0.4671 666/667 [============================>.] - ETA: 0s - loss: 63.6708 - logits_profile_predictions_loss: 63.2037 - logcount_predictions_loss: 0.4672 667/667 [==============================] - ETA: 0s - loss: 63.6628 - logits_profile_predictions_loss: 63.1958 - logcount_predictions_loss: 0.4671 Epoch 8: val_loss did not improve from 68.01165  667/667 [==============================] - 526s 788ms/step - loss: 63.6628 - logits_profile_predictions_loss: 63.1958 - logcount_predictions_loss: 0.4671 - val_loss: 68.4017 - val_logits_profile_predictions_loss: 67.9453 - val_logcount_predictions_loss: 0.4564 Epoch 9/50 1/667 [..............................] - ETA: 8:07 - loss: 69.8984 - logits_profile_predictions_loss: 69.4041 - logcount_predictions_loss: 0.4943 2/667 [..............................] - ETA: 8:03 - loss: 62.9793 - logits_profile_predictions_loss: 62.5174 - logcount_predictions_loss: 0.4619 3/667 [..............................] - ETA: 8:02 - loss: 64.3964 - logits_profile_predictions_loss: 63.9604 - logcount_predictions_loss: 0.4360 4/667 [..............................] - ETA: 8:02 - loss: 65.2728 - logits_profile_predictions_loss: 64.8465 - logcount_predictions_loss: 0.4263 5/667 [..............................] - ETA: 8:02 - loss: 63.3977 - logits_profile_predictions_loss: 62.9657 - logcount_predictions_loss: 0.4320 6/667 [..............................] - ETA: 8:02 - loss: 63.2651 - logits_profile_predictions_loss: 62.8322 - logcount_predictions_loss: 0.4329 7/667 [..............................] - ETA: 8:05 - loss: 62.6101 - logits_profile_predictions_loss: 62.1802 - logcount_predictions_loss: 0.4300 8/667 [..............................] - ETA: 8:08 - loss: 62.5593 - logits_profile_predictions_loss: 62.0904 - logcount_predictions_loss: 0.4689 9/667 [..............................] - ETA: 8:09 - loss: 62.4529 - logits_profile_predictions_loss: 61.9856 - logcount_predictions_loss: 0.4673 10/667 [..............................] - ETA: 8:07 - loss: 61.8043 - logits_profile_predictions_loss: 61.3377 - logcount_predictions_loss: 0.4666 11/667 [..............................] - ETA: 8:06 - loss: 62.7138 - logits_profile_predictions_loss: 62.2458 - logcount_predictions_loss: 0.4680 12/667 [..............................] - ETA: 8:05 - loss: 63.0015 - logits_profile_predictions_loss: 62.5394 - logcount_predictions_loss: 0.4621 13/667 [..............................] - ETA: 8:04 - loss: 63.7948 - logits_profile_predictions_loss: 63.3307 - logcount_predictions_loss: 0.4641 14/667 [..............................] - ETA: 8:04 - loss: 64.0134 - logits_profile_predictions_loss: 63.5454 - logcount_predictions_loss: 0.4679 15/667 [..............................] - ETA: 8:03 - loss: 65.1087 - logits_profile_predictions_loss: 64.6400 - logcount_predictions_loss: 0.4687 16/667 [..............................] - ETA: 8:03 - loss: 64.6076 - logits_profile_predictions_loss: 64.1450 - logcount_predictions_loss: 0.4626 17/667 [..............................] - ETA: 8:02 - loss: 64.9835 - logits_profile_predictions_loss: 64.5173 - logcount_predictions_loss: 0.4663 18/667 [..............................] - ETA: 8:01 - loss: 64.8408 - logits_profile_predictions_loss: 64.3714 - logcount_predictions_loss: 0.4693 19/667 [..............................] - ETA: 8:01 - loss: 64.5786 - logits_profile_predictions_loss: 64.1150 - logcount_predictions_loss: 0.4637 20/667 [..............................] - ETA: 8:00 - loss: 64.9871 - logits_profile_predictions_loss: 64.5215 - logcount_predictions_loss: 0.4655 21/667 [..............................] - ETA: 8:00 - loss: 65.0724 - logits_profile_predictions_loss: 64.6050 - logcount_predictions_loss: 0.4674 22/667 [..............................] - ETA: 7:59 - loss: 64.6242 - logits_profile_predictions_loss: 64.1550 - logcount_predictions_loss: 0.4692 23/667 [>.............................] - ETA: 7:58 - loss: 64.4762 - logits_profile_predictions_loss: 64.0081 - logcount_predictions_loss: 0.4680 24/667 [>.............................] - ETA: 7:58 - loss: 64.2453 - logits_profile_predictions_loss: 63.7818 - logcount_predictions_loss: 0.4635 25/667 [>.............................] - ETA: 7:58 - loss: 64.2486 - logits_profile_predictions_loss: 63.7893 - logcount_predictions_loss: 0.4593 26/667 [>.............................] - ETA: 7:58 - loss: 64.4120 - logits_profile_predictions_loss: 63.9575 - logcount_predictions_loss: 0.4545 27/667 [>.............................] - ETA: 7:58 - loss: 64.4462 - logits_profile_predictions_loss: 63.9912 - logcount_predictions_loss: 0.4549 28/667 [>.............................] - ETA: 7:57 - loss: 64.5918 - logits_profile_predictions_loss: 64.1384 - logcount_predictions_loss: 0.4534 29/667 [>.............................] - ETA: 7:57 - loss: 64.5137 - logits_profile_predictions_loss: 64.0598 - logcount_predictions_loss: 0.4539 30/667 [>.............................] - ETA: 7:56 - loss: 64.6778 - logits_profile_predictions_loss: 64.2227 - logcount_predictions_loss: 0.4551 31/667 [>.............................] - ETA: 7:55 - loss: 64.8261 - logits_profile_predictions_loss: 64.3747 - logcount_predictions_loss: 0.4514 32/667 [>.............................] - ETA: 7:55 - loss: 65.0108 - logits_profile_predictions_loss: 64.5528 - logcount_predictions_loss: 0.4581 33/667 [>.............................] - ETA: 7:54 - loss: 65.1829 - logits_profile_predictions_loss: 64.7259 - logcount_predictions_loss: 0.4570 34/667 [>.............................] - ETA: 7:53 - loss: 65.2828 - logits_profile_predictions_loss: 64.8270 - logcount_predictions_loss: 0.4558 35/667 [>.............................] - ETA: 7:53 - loss: 65.2232 - logits_profile_predictions_loss: 64.7668 - logcount_predictions_loss: 0.4564 36/667 [>.............................] - ETA: 7:53 - loss: 65.2623 - logits_profile_predictions_loss: 64.8074 - logcount_predictions_loss: 0.4549 37/667 [>.............................] - ETA: 7:53 - loss: 65.1527 - logits_profile_predictions_loss: 64.6980 - logcount_predictions_loss: 0.4547 38/667 [>.............................] - ETA: 7:53 - loss: 65.1397 - logits_profile_predictions_loss: 64.6841 - logcount_predictions_loss: 0.4556 39/667 [>.............................] - ETA: 7:52 - loss: 65.4042 - logits_profile_predictions_loss: 64.9493 - logcount_predictions_loss: 0.4549 40/667 [>.............................] - ETA: 7:51 - loss: 65.6737 - logits_profile_predictions_loss: 65.2155 - logcount_predictions_loss: 0.4582 41/667 [>.............................] - ETA: 7:51 - loss: 65.6975 - logits_profile_predictions_loss: 65.2416 - logcount_predictions_loss: 0.4559 42/667 [>.............................] - ETA: 7:50 - loss: 65.3849 - logits_profile_predictions_loss: 64.9320 - logcount_predictions_loss: 0.4529 43/667 [>.............................] - ETA: 7:49 - loss: 65.0033 - logits_profile_predictions_loss: 64.5525 - logcount_predictions_loss: 0.4508 44/667 [>.............................] - ETA: 7:55 - loss: 65.0018 - logits_profile_predictions_loss: 64.5513 - logcount_predictions_loss: 0.4505 45/667 [=>............................] - ETA: 7:55 - loss: 64.8253 - logits_profile_predictions_loss: 64.3779 - logcount_predictions_loss: 0.4473 46/667 [=>............................] - ETA: 7:55 - loss: 64.8905 - logits_profile_predictions_loss: 64.4439 - logcount_predictions_loss: 0.4466 47/667 [=>............................] - ETA: 7:56 - loss: 65.1202 - logits_profile_predictions_loss: 64.6750 - logcount_predictions_loss: 0.4451 48/667 [=>............................] - ETA: 7:56 - loss: 64.9320 - logits_profile_predictions_loss: 64.4864 - logcount_predictions_loss: 0.4456 49/667 [=>............................] - ETA: 7:55 - loss: 64.7364 - logits_profile_predictions_loss: 64.2889 - logcount_predictions_loss: 0.4475 50/667 [=>............................] - ETA: 7:54 - loss: 64.6312 - logits_profile_predictions_loss: 64.1863 - logcount_predictions_loss: 0.4450 51/667 [=>............................] - ETA: 7:53 - loss: 64.6458 - logits_profile_predictions_loss: 64.2003 - logcount_predictions_loss: 0.4454 52/667 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- ETA: 25s - loss: 63.4501 - logits_profile_predictions_loss: 62.9904 - logcount_predictions_loss: 0.4597 634/667 [===========================>..] - ETA: 25s - loss: 63.4328 - logits_profile_predictions_loss: 62.9733 - logcount_predictions_loss: 0.4595 635/667 [===========================>..] - ETA: 24s - loss: 63.4375 - logits_profile_predictions_loss: 62.9779 - logcount_predictions_loss: 0.4596 636/667 [===========================>..] - ETA: 23s - loss: 63.4664 - logits_profile_predictions_loss: 63.0067 - logcount_predictions_loss: 0.4596 637/667 [===========================>..] - ETA: 22s - loss: 63.4627 - logits_profile_predictions_loss: 63.0031 - logcount_predictions_loss: 0.4596 638/667 [===========================>..] - ETA: 22s - loss: 63.4630 - logits_profile_predictions_loss: 63.0036 - logcount_predictions_loss: 0.4595 639/667 [===========================>..] - ETA: 21s - loss: 63.4758 - logits_profile_predictions_loss: 63.0161 - logcount_predictions_loss: 0.4597 640/667 [===========================>..] - ETA: 20s - loss: 63.4797 - logits_profile_predictions_loss: 63.0199 - logcount_predictions_loss: 0.4598 641/667 [===========================>..] - ETA: 19s - loss: 63.4822 - logits_profile_predictions_loss: 63.0226 - logcount_predictions_loss: 0.4595 642/667 [===========================>..] - ETA: 19s - loss: 63.4735 - logits_profile_predictions_loss: 63.0138 - logcount_predictions_loss: 0.4596 643/667 [===========================>..] - ETA: 18s - loss: 63.4652 - logits_profile_predictions_loss: 63.0052 - logcount_predictions_loss: 0.4601 644/667 [===========================>..] - ETA: 17s - loss: 63.4587 - logits_profile_predictions_loss: 62.9987 - logcount_predictions_loss: 0.4600 645/667 [============================>.] - ETA: 16s - loss: 63.4612 - logits_profile_predictions_loss: 63.0011 - logcount_predictions_loss: 0.4600 646/667 [============================>.] - ETA: 16s - loss: 63.4389 - logits_profile_predictions_loss: 62.9791 - logcount_predictions_loss: 0.4598 647/667 [============================>.] - ETA: 15s - loss: 63.4395 - logits_profile_predictions_loss: 62.9797 - logcount_predictions_loss: 0.4598 648/667 [============================>.] - ETA: 14s - loss: 63.4521 - logits_profile_predictions_loss: 62.9922 - logcount_predictions_loss: 0.4598 649/667 [============================>.] - ETA: 13s - loss: 63.4640 - logits_profile_predictions_loss: 63.0041 - logcount_predictions_loss: 0.4599 650/667 [============================>.] - ETA: 12s - loss: 63.4604 - logits_profile_predictions_loss: 63.0007 - logcount_predictions_loss: 0.4597 651/667 [============================>.] - ETA: 12s - loss: 63.4594 - logits_profile_predictions_loss: 62.9995 - logcount_predictions_loss: 0.4599 652/667 [============================>.] - ETA: 11s - loss: 63.4388 - logits_profile_predictions_loss: 62.9790 - logcount_predictions_loss: 0.4599 653/667 [============================>.] - ETA: 10s - loss: 63.4204 - logits_profile_predictions_loss: 62.9606 - logcount_predictions_loss: 0.4598 654/667 [============================>.] - ETA: 9s - loss: 63.4184 - logits_profile_predictions_loss: 62.9581 - logcount_predictions_loss: 0.4603  655/667 [============================>.] - ETA: 9s - loss: 63.4152 - logits_profile_predictions_loss: 62.9549 - logcount_predictions_loss: 0.4602 656/667 [============================>.] - ETA: 8s - loss: 63.4132 - logits_profile_predictions_loss: 62.9532 - logcount_predictions_loss: 0.4600 657/667 [============================>.] - ETA: 7s - loss: 63.4054 - logits_profile_predictions_loss: 62.9455 - logcount_predictions_loss: 0.4599 658/667 [============================>.] - ETA: 6s - loss: 63.4223 - logits_profile_predictions_loss: 62.9623 - logcount_predictions_loss: 0.4600 659/667 [============================>.] - ETA: 6s - loss: 63.4314 - logits_profile_predictions_loss: 62.9714 - logcount_predictions_loss: 0.4599 660/667 [============================>.] - ETA: 5s - loss: 63.4303 - logits_profile_predictions_loss: 62.9702 - logcount_predictions_loss: 0.4601 661/667 [============================>.] - ETA: 4s - loss: 63.4628 - logits_profile_predictions_loss: 63.0028 - logcount_predictions_loss: 0.4600 662/667 [============================>.] - ETA: 3s - loss: 63.4463 - logits_profile_predictions_loss: 62.9865 - logcount_predictions_loss: 0.4597 663/667 [============================>.] - ETA: 3s - loss: 63.4406 - logits_profile_predictions_loss: 62.9810 - logcount_predictions_loss: 0.4596 664/667 [============================>.] - ETA: 2s - loss: 63.4345 - logits_profile_predictions_loss: 62.9751 - logcount_predictions_loss: 0.4594 665/667 [============================>.] - ETA: 1s - loss: 63.4224 - logits_profile_predictions_loss: 62.9632 - logcount_predictions_loss: 0.4592 666/667 [============================>.] - ETA: 0s - loss: 63.4194 - logits_profile_predictions_loss: 62.9602 - logcount_predictions_loss: 0.4592 667/667 [==============================] - ETA: 0s - loss: 63.4375 - logits_profile_predictions_loss: 62.9782 - logcount_predictions_loss: 0.4592 Epoch 9: val_loss did not improve from 68.01165  667/667 [==============================] - 527s 790ms/step - loss: 63.4375 - logits_profile_predictions_loss: 62.9782 - logcount_predictions_loss: 0.4592 - val_loss: 68.3116 - val_logits_profile_predictions_loss: 67.8860 - val_logcount_predictions_loss: 0.4256 Epoch 10/50 1/667 [..............................] - ETA: 8:11 - loss: 61.5803 - logits_profile_predictions_loss: 61.1970 - logcount_predictions_loss: 0.3834 2/667 [..............................] - ETA: 8:02 - loss: 64.1518 - logits_profile_predictions_loss: 63.7277 - logcount_predictions_loss: 0.4241 3/667 [..............................] - ETA: 8:02 - loss: 62.0524 - logits_profile_predictions_loss: 61.5244 - logcount_predictions_loss: 0.5280 4/667 [..............................] - ETA: 8:01 - loss: 66.2470 - logits_profile_predictions_loss: 65.6980 - logcount_predictions_loss: 0.5490 5/667 [..............................] - ETA: 8:01 - loss: 63.8823 - logits_profile_predictions_loss: 63.3727 - logcount_predictions_loss: 0.5096 6/667 [..............................] - ETA: 8:01 - loss: 63.6037 - logits_profile_predictions_loss: 63.1011 - logcount_predictions_loss: 0.5026 7/667 [..............................] - ETA: 8:01 - loss: 62.5390 - logits_profile_predictions_loss: 62.0446 - logcount_predictions_loss: 0.4944 8/667 [..............................] - ETA: 8:02 - loss: 62.9987 - logits_profile_predictions_loss: 62.5037 - logcount_predictions_loss: 0.4950 9/667 [..............................] - ETA: 8:02 - loss: 64.7247 - logits_profile_predictions_loss: 64.2396 - logcount_predictions_loss: 0.4851 10/667 [..............................] - ETA: 8:03 - loss: 64.1265 - logits_profile_predictions_loss: 63.6482 - logcount_predictions_loss: 0.4783 11/667 [..............................] - ETA: 8:02 - loss: 63.7004 - logits_profile_predictions_loss: 63.2192 - logcount_predictions_loss: 0.4812 12/667 [..............................] - ETA: 8:01 - loss: 63.7608 - logits_profile_predictions_loss: 63.2863 - logcount_predictions_loss: 0.4745 13/667 [..............................] - ETA: 8:01 - loss: 63.7634 - logits_profile_predictions_loss: 63.3027 - logcount_predictions_loss: 0.4607 14/667 [..............................] - ETA: 8:00 - loss: 63.1828 - logits_profile_predictions_loss: 62.7237 - logcount_predictions_loss: 0.4590 15/667 [..............................] - ETA: 8:01 - loss: 63.8439 - logits_profile_predictions_loss: 63.3896 - logcount_predictions_loss: 0.4543 16/667 [..............................] - ETA: 8:00 - loss: 64.0934 - logits_profile_predictions_loss: 63.6381 - logcount_predictions_loss: 0.4553 17/667 [..............................] - ETA: 8:00 - loss: 63.6199 - logits_profile_predictions_loss: 63.1643 - logcount_predictions_loss: 0.4556 18/667 [..............................] - ETA: 8:00 - loss: 63.6618 - logits_profile_predictions_loss: 63.2121 - logcount_predictions_loss: 0.4497 19/667 [..............................] - ETA: 7:59 - loss: 63.3723 - logits_profile_predictions_loss: 62.9228 - logcount_predictions_loss: 0.4495 20/667 [..............................] - ETA: 7:59 - loss: 63.5906 - logits_profile_predictions_loss: 63.1416 - logcount_predictions_loss: 0.4490 21/667 [..............................] - ETA: 7:59 - loss: 63.6308 - logits_profile_predictions_loss: 63.1827 - logcount_predictions_loss: 0.4481 22/667 [..............................] - ETA: 7:59 - loss: 63.6206 - logits_profile_predictions_loss: 63.1689 - logcount_predictions_loss: 0.4517 23/667 [>.............................] - ETA: 7:58 - loss: 63.7436 - logits_profile_predictions_loss: 63.2914 - logcount_predictions_loss: 0.4522 24/667 [>.............................] - ETA: 7:58 - loss: 63.5265 - logits_profile_predictions_loss: 63.0734 - logcount_predictions_loss: 0.4531 25/667 [>.............................] - ETA: 7:58 - loss: 63.4424 - logits_profile_predictions_loss: 62.9917 - logcount_predictions_loss: 0.4507 26/667 [>.............................] - ETA: 7:58 - loss: 63.2988 - logits_profile_predictions_loss: 62.8518 - logcount_predictions_loss: 0.4470 27/667 [>.............................] - ETA: 7:59 - loss: 63.2425 - logits_profile_predictions_loss: 62.7984 - logcount_predictions_loss: 0.4440 28/667 [>.............................] - ETA: 8:00 - loss: 62.9774 - logits_profile_predictions_loss: 62.5316 - logcount_predictions_loss: 0.4458 29/667 [>.............................] - ETA: 8:01 - loss: 62.8806 - logits_profile_predictions_loss: 62.4349 - logcount_predictions_loss: 0.4457 30/667 [>.............................] - ETA: 8:01 - loss: 62.8065 - logits_profile_predictions_loss: 62.3581 - logcount_predictions_loss: 0.4483 31/667 [>.............................] - ETA: 8:01 - loss: 62.5528 - logits_profile_predictions_loss: 62.0973 - logcount_predictions_loss: 0.4555 32/667 [>.............................] - ETA: 8:00 - loss: 62.4891 - logits_profile_predictions_loss: 62.0303 - logcount_predictions_loss: 0.4588 33/667 [>.............................] - ETA: 7:59 - loss: 62.0692 - logits_profile_predictions_loss: 61.6142 - logcount_predictions_loss: 0.4550 34/667 [>.............................] - ETA: 7:58 - loss: 61.5717 - logits_profile_predictions_loss: 61.1180 - logcount_predictions_loss: 0.4537 35/667 [>.............................] - ETA: 7:57 - loss: 62.0786 - logits_profile_predictions_loss: 61.6194 - logcount_predictions_loss: 0.4592 36/667 [>.............................] - ETA: 7:56 - loss: 62.0635 - logits_profile_predictions_loss: 61.5988 - logcount_predictions_loss: 0.4647 37/667 [>.............................] - ETA: 7:56 - loss: 62.0369 - logits_profile_predictions_loss: 61.5734 - logcount_predictions_loss: 0.4635 38/667 [>.............................] - ETA: 7:55 - loss: 62.2124 - logits_profile_predictions_loss: 61.7473 - logcount_predictions_loss: 0.4651 39/667 [>.............................] - ETA: 7:54 - loss: 62.6129 - logits_profile_predictions_loss: 62.1389 - logcount_predictions_loss: 0.4740 40/667 [>.............................] - ETA: 7:53 - loss: 62.5167 - logits_profile_predictions_loss: 62.0448 - logcount_predictions_loss: 0.4719 41/667 [>.............................] - ETA: 7:52 - loss: 62.7177 - logits_profile_predictions_loss: 62.2441 - logcount_predictions_loss: 0.4735 42/667 [>.............................] - ETA: 7:52 - loss: 62.7936 - logits_profile_predictions_loss: 62.3171 - logcount_predictions_loss: 0.4765 43/667 [>.............................] - ETA: 7:51 - loss: 62.9391 - logits_profile_predictions_loss: 62.4616 - logcount_predictions_loss: 0.4775 44/667 [>.............................] - ETA: 7:50 - loss: 63.1507 - logits_profile_predictions_loss: 62.6722 - logcount_predictions_loss: 0.4785 45/667 [=>............................] - ETA: 7:49 - loss: 63.3287 - logits_profile_predictions_loss: 62.8532 - logcount_predictions_loss: 0.4755 46/667 [=>............................] - ETA: 7:48 - loss: 63.2671 - logits_profile_predictions_loss: 62.7877 - logcount_predictions_loss: 0.4794 47/667 [=>............................] - ETA: 7:47 - loss: 63.1615 - logits_profile_predictions_loss: 62.6781 - logcount_predictions_loss: 0.4834 48/667 [=>............................] - ETA: 7:47 - loss: 63.1388 - logits_profile_predictions_loss: 62.6581 - logcount_predictions_loss: 0.4807 49/667 [=>............................] - ETA: 7:46 - loss: 63.0437 - logits_profile_predictions_loss: 62.5641 - logcount_predictions_loss: 0.4797 50/667 [=>............................] - ETA: 7:45 - loss: 62.9510 - logits_profile_predictions_loss: 62.4705 - logcount_predictions_loss: 0.4805 51/667 [=>............................] - ETA: 7:44 - loss: 63.1542 - logits_profile_predictions_loss: 62.6714 - logcount_predictions_loss: 0.4828 52/667 [=>............................] - ETA: 7:44 - loss: 63.0501 - logits_profile_predictions_loss: 62.5691 - logcount_predictions_loss: 0.4809 53/667 [=>............................] - ETA: 7:43 - loss: 62.7757 - logits_profile_predictions_loss: 62.2967 - logcount_predictions_loss: 0.4790 54/667 [=>............................] - ETA: 7:42 - loss: 62.7217 - logits_profile_predictions_loss: 62.2443 - logcount_predictions_loss: 0.4774 55/667 [=>............................] - ETA: 7:41 - loss: 62.8241 - logits_profile_predictions_loss: 62.3470 - logcount_predictions_loss: 0.4771 56/667 [=>............................] - ETA: 7:41 - loss: 62.6615 - logits_profile_predictions_loss: 62.1838 - logcount_predictions_loss: 0.4777 57/667 [=>............................] - ETA: 7:41 - loss: 62.7709 - logits_profile_predictions_loss: 62.2937 - logcount_predictions_loss: 0.4772 58/667 [=>............................] - ETA: 7:41 - loss: 62.8157 - logits_profile_predictions_loss: 62.3386 - logcount_predictions_loss: 0.4771 59/667 [=>............................] - ETA: 7:42 - loss: 62.7652 - logits_profile_predictions_loss: 62.2866 - logcount_predictions_loss: 0.4786 60/667 [=>............................] - ETA: 7:42 - loss: 62.7602 - logits_profile_predictions_loss: 62.2826 - logcount_predictions_loss: 0.4776 61/667 [=>............................] - ETA: 7:42 - loss: 62.6707 - logits_profile_predictions_loss: 62.1928 - logcount_predictions_loss: 0.4779 62/667 [=>............................] - ETA: 7:41 - loss: 62.8193 - logits_profile_predictions_loss: 62.3432 - logcount_predictions_loss: 0.4761 63/667 [=>............................] - ETA: 7:40 - loss: 62.7819 - logits_profile_predictions_loss: 62.3082 - logcount_predictions_loss: 0.4737 64/667 [=>............................] - ETA: 7:39 - loss: 62.7640 - logits_profile_predictions_loss: 62.2934 - logcount_predictions_loss: 0.4705 65/667 [=>............................] - ETA: 7:38 - loss: 62.8526 - logits_profile_predictions_loss: 62.3816 - logcount_predictions_loss: 0.4710 66/667 [=>............................] - ETA: 7:37 - loss: 62.8643 - logits_profile_predictions_loss: 62.3928 - logcount_predictions_loss: 0.4715 67/667 [==>...........................] - ETA: 7:37 - loss: 62.8608 - logits_profile_predictions_loss: 62.3907 - logcount_predictions_loss: 0.4700 68/667 [==>...........................] - ETA: 7:36 - loss: 62.8221 - logits_profile_predictions_loss: 62.3515 - logcount_predictions_loss: 0.4706 69/667 [==>...........................] - ETA: 7:35 - loss: 62.8773 - logits_profile_predictions_loss: 62.4066 - logcount_predictions_loss: 0.4707 70/667 [==>...........................] - ETA: 7:34 - loss: 62.8250 - logits_profile_predictions_loss: 62.3545 - logcount_predictions_loss: 0.4705 71/667 [==>...........................] - ETA: 7:33 - loss: 62.7711 - logits_profile_predictions_loss: 62.3018 - logcount_predictions_loss: 0.4694 72/667 [==>...........................] - ETA: 7:32 - loss: 62.6872 - logits_profile_predictions_loss: 62.2164 - logcount_predictions_loss: 0.4707 73/667 [==>...........................] - ETA: 7:31 - loss: 62.7314 - logits_profile_predictions_loss: 62.2614 - logcount_predictions_loss: 0.4700 74/667 [==>...........................] - ETA: 7:31 - loss: 62.6717 - logits_profile_predictions_loss: 62.2012 - logcount_predictions_loss: 0.4705 75/667 [==>...........................] - ETA: 7:30 - loss: 62.6699 - logits_profile_predictions_loss: 62.1998 - logcount_predictions_loss: 0.4701 76/667 [==>...........................] - ETA: 7:29 - loss: 62.5844 - logits_profile_predictions_loss: 62.1166 - logcount_predictions_loss: 0.4679 77/667 [==>...........................] - ETA: 7:28 - loss: 62.5988 - logits_profile_predictions_loss: 62.1324 - logcount_predictions_loss: 0.4664 78/667 [==>...........................] - ETA: 7:27 - loss: 62.5820 - logits_profile_predictions_loss: 62.1159 - logcount_predictions_loss: 0.4661 79/667 [==>...........................] - ETA: 7:27 - loss: 62.5513 - logits_profile_predictions_loss: 62.0870 - logcount_predictions_loss: 0.4643 80/667 [==>...........................] - ETA: 7:26 - loss: 62.5993 - logits_profile_predictions_loss: 62.1344 - logcount_predictions_loss: 0.4649 81/667 [==>...........................] - ETA: 7:25 - loss: 62.6045 - logits_profile_predictions_loss: 62.1393 - logcount_predictions_loss: 0.4652 82/667 [==>...........................] - ETA: 7:24 - loss: 62.5524 - logits_profile_predictions_loss: 62.0869 - logcount_predictions_loss: 0.4655 83/667 [==>...........................] - ETA: 7:23 - loss: 62.4483 - logits_profile_predictions_loss: 61.9856 - logcount_predictions_loss: 0.4627 84/667 [==>...........................] - ETA: 7:22 - loss: 62.4343 - logits_profile_predictions_loss: 61.9716 - logcount_predictions_loss: 0.4627 85/667 [==>...........................] - ETA: 7:22 - loss: 62.5024 - logits_profile_predictions_loss: 62.0400 - logcount_predictions_loss: 0.4624 86/667 [==>...........................] - ETA: 7:21 - loss: 62.5381 - logits_profile_predictions_loss: 62.0752 - logcount_predictions_loss: 0.4628 87/667 [==>...........................] - ETA: 7:20 - loss: 62.4778 - logits_profile_predictions_loss: 62.0141 - logcount_predictions_loss: 0.4638 88/667 [==>...........................] - ETA: 7:19 - loss: 62.5021 - logits_profile_predictions_loss: 62.0384 - logcount_predictions_loss: 0.4637 89/667 [===>..........................] - ETA: 7:19 - loss: 62.5076 - logits_profile_predictions_loss: 62.0442 - logcount_predictions_loss: 0.4633 90/667 [===>..........................] - ETA: 7:19 - loss: 62.4330 - logits_profile_predictions_loss: 61.9704 - logcount_predictions_loss: 0.4627 91/667 [===>..........................] - ETA: 7:18 - loss: 62.3617 - logits_profile_predictions_loss: 61.9002 - logcount_predictions_loss: 0.4615 92/667 [===>..........................] - ETA: 7:18 - loss: 62.3107 - logits_profile_predictions_loss: 61.8502 - logcount_predictions_loss: 0.4604 93/667 [===>..........................] - ETA: 7:17 - loss: 62.2295 - logits_profile_predictions_loss: 61.7700 - logcount_predictions_loss: 0.4595 94/667 [===>..........................] - ETA: 7:16 - loss: 62.1679 - logits_profile_predictions_loss: 61.7103 - logcount_predictions_loss: 0.4576 95/667 [===>..........................] - ETA: 7:15 - loss: 62.0843 - logits_profile_predictions_loss: 61.6272 - logcount_predictions_loss: 0.4570 96/667 [===>..........................] - ETA: 7:14 - loss: 62.0743 - logits_profile_predictions_loss: 61.6185 - logcount_predictions_loss: 0.4559 97/667 [===>..........................] - ETA: 7:13 - loss: 62.1215 - logits_profile_predictions_loss: 61.6663 - logcount_predictions_loss: 0.4552 98/667 [===>..........................] - ETA: 7:13 - loss: 62.0625 - logits_profile_predictions_loss: 61.6082 - logcount_predictions_loss: 0.4544 99/667 [===>..........................] - ETA: 7:12 - loss: 62.1626 - logits_profile_predictions_loss: 61.7078 - logcount_predictions_loss: 0.4549 100/667 [===>..........................] - ETA: 7:11 - loss: 62.1714 - logits_profile_predictions_loss: 61.7169 - logcount_predictions_loss: 0.4545 101/667 [===>..........................] - ETA: 7:10 - loss: 62.2686 - logits_profile_predictions_loss: 61.8152 - logcount_predictions_loss: 0.4534 102/667 [===>..........................] - ETA: 7:09 - loss: 62.2092 - logits_profile_predictions_loss: 61.7551 - logcount_predictions_loss: 0.4541 103/667 [===>..........................] - ETA: 7:09 - loss: 62.2268 - logits_profile_predictions_loss: 61.7723 - logcount_predictions_loss: 0.4544 104/667 [===>..........................] - ETA: 7:08 - loss: 62.2032 - logits_profile_predictions_loss: 61.7497 - logcount_predictions_loss: 0.4535 105/667 [===>..........................] - ETA: 7:07 - loss: 62.1309 - logits_profile_predictions_loss: 61.6787 - logcount_predictions_loss: 0.4523 106/667 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[=========================>....] - ETA: 1:01 - loss: 62.6845 - logits_profile_predictions_loss: 62.2459 - logcount_predictions_loss: 0.4386 587/667 [=========================>....] - ETA: 1:00 - loss: 62.6897 - logits_profile_predictions_loss: 62.2509 - logcount_predictions_loss: 0.4387 588/667 [=========================>....] - ETA: 1:00 - loss: 62.6737 - logits_profile_predictions_loss: 62.2352 - logcount_predictions_loss: 0.4385 589/667 [=========================>....] - ETA: 59s - loss: 62.6702 - logits_profile_predictions_loss: 62.2319 - logcount_predictions_loss: 0.4383  590/667 [=========================>....] - ETA: 58s - loss: 62.6579 - logits_profile_predictions_loss: 62.2196 - logcount_predictions_loss: 0.4383 591/667 [=========================>....] - ETA: 57s - loss: 62.6778 - logits_profile_predictions_loss: 62.2394 - logcount_predictions_loss: 0.4384 592/667 [=========================>....] - ETA: 57s - loss: 62.6972 - logits_profile_predictions_loss: 62.2586 - 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[===========================>..] - ETA: 20s - loss: 62.6510 - logits_profile_predictions_loss: 62.2128 - logcount_predictions_loss: 0.4382 641/667 [===========================>..] - ETA: 19s - loss: 62.6478 - logits_profile_predictions_loss: 62.2096 - logcount_predictions_loss: 0.4382 642/667 [===========================>..] - ETA: 19s - loss: 62.6486 - logits_profile_predictions_loss: 62.2104 - logcount_predictions_loss: 0.4382 643/667 [===========================>..] - ETA: 18s - loss: 62.6607 - logits_profile_predictions_loss: 62.2226 - logcount_predictions_loss: 0.4382 644/667 [===========================>..] - ETA: 17s - loss: 62.6507 - logits_profile_predictions_loss: 62.2124 - logcount_predictions_loss: 0.4383 645/667 [============================>.] - ETA: 16s - loss: 62.6632 - logits_profile_predictions_loss: 62.2249 - logcount_predictions_loss: 0.4383 646/667 [============================>.] - ETA: 15s - loss: 62.6688 - logits_profile_predictions_loss: 62.2305 - 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[==============================] - ETA: 0s - loss: 62.7531 - logits_profile_predictions_loss: 62.3137 - logcount_predictions_loss: 0.4394 Epoch 10: val_loss did not improve from 68.01165  667/667 [==============================] - 526s 789ms/step - loss: 62.7531 - logits_profile_predictions_loss: 62.3137 - logcount_predictions_loss: 0.4394 - val_loss: 68.8806 - val_logits_profile_predictions_loss: 68.3678 - val_logcount_predictions_loss: 0.5128 Epoch 11/50 1/667 [..............................] - ETA: 8:07 - loss: 55.2651 - logits_profile_predictions_loss: 54.7481 - logcount_predictions_loss: 0.5170 2/667 [..............................] - ETA: 7:57 - loss: 60.7615 - logits_profile_predictions_loss: 60.2277 - logcount_predictions_loss: 0.5338 3/667 [..............................] - ETA: 7:56 - loss: 64.4413 - logits_profile_predictions_loss: 63.8823 - logcount_predictions_loss: 0.5591 4/667 [..............................] - ETA: 7:56 - loss: 62.9194 - logits_profile_predictions_loss: 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- ETA: 46s - loss: 62.4178 - logits_profile_predictions_loss: 61.9915 - logcount_predictions_loss: 0.4263 607/667 [==========================>...] - ETA: 45s - loss: 62.4136 - logits_profile_predictions_loss: 61.9876 - logcount_predictions_loss: 0.4260 608/667 [==========================>...] - ETA: 45s - loss: 62.3936 - logits_profile_predictions_loss: 61.9678 - logcount_predictions_loss: 0.4257 609/667 [==========================>...] - ETA: 44s - loss: 62.4066 - logits_profile_predictions_loss: 61.9807 - logcount_predictions_loss: 0.4259 610/667 [==========================>...] - ETA: 43s - loss: 62.3806 - logits_profile_predictions_loss: 61.9546 - logcount_predictions_loss: 0.4260 611/667 [==========================>...] - ETA: 42s - loss: 62.3711 - logits_profile_predictions_loss: 61.9454 - logcount_predictions_loss: 0.4258 612/667 [==========================>...] - ETA: 42s - loss: 62.3571 - logits_profile_predictions_loss: 61.9313 - logcount_predictions_loss: 0.4258 613/667 [==========================>...] - ETA: 41s - loss: 62.3755 - logits_profile_predictions_loss: 61.9496 - logcount_predictions_loss: 0.4259 614/667 [==========================>...] - ETA: 40s - loss: 62.4041 - logits_profile_predictions_loss: 61.9780 - logcount_predictions_loss: 0.4261 615/667 [==========================>...] - ETA: 39s - loss: 62.4082 - logits_profile_predictions_loss: 61.9819 - logcount_predictions_loss: 0.4262 616/667 [==========================>...] - ETA: 39s - loss: 62.4091 - logits_profile_predictions_loss: 61.9830 - logcount_predictions_loss: 0.4262 617/667 [==========================>...] - ETA: 38s - loss: 62.4110 - logits_profile_predictions_loss: 61.9849 - logcount_predictions_loss: 0.4261 618/667 [==========================>...] - ETA: 37s - loss: 62.3992 - logits_profile_predictions_loss: 61.9733 - logcount_predictions_loss: 0.4260 619/667 [==========================>...] - ETA: 36s - loss: 62.4094 - logits_profile_predictions_loss: 61.9832 - logcount_predictions_loss: 0.4261 620/667 [==========================>...] - ETA: 35s - loss: 62.4086 - logits_profile_predictions_loss: 61.9825 - logcount_predictions_loss: 0.4261 621/667 [==========================>...] - ETA: 35s - loss: 62.4018 - logits_profile_predictions_loss: 61.9757 - logcount_predictions_loss: 0.4261 622/667 [==========================>...] - ETA: 34s - loss: 62.4117 - logits_profile_predictions_loss: 61.9857 - logcount_predictions_loss: 0.4260 623/667 [===========================>..] - ETA: 33s - loss: 62.4124 - logits_profile_predictions_loss: 61.9865 - logcount_predictions_loss: 0.4260 624/667 [===========================>..] - ETA: 32s - loss: 62.4044 - logits_profile_predictions_loss: 61.9784 - logcount_predictions_loss: 0.4261 625/667 [===========================>..] - ETA: 32s - loss: 62.3933 - logits_profile_predictions_loss: 61.9672 - logcount_predictions_loss: 0.4261 626/667 [===========================>..] - ETA: 31s - loss: 62.3886 - logits_profile_predictions_loss: 61.9625 - logcount_predictions_loss: 0.4261 627/667 [===========================>..] - ETA: 30s - loss: 62.3935 - logits_profile_predictions_loss: 61.9675 - logcount_predictions_loss: 0.4259 628/667 [===========================>..] - ETA: 29s - loss: 62.3976 - logits_profile_predictions_loss: 61.9716 - logcount_predictions_loss: 0.4260 629/667 [===========================>..] - ETA: 29s - loss: 62.3890 - logits_profile_predictions_loss: 61.9632 - logcount_predictions_loss: 0.4259 630/667 [===========================>..] - ETA: 28s - loss: 62.3842 - logits_profile_predictions_loss: 61.9584 - logcount_predictions_loss: 0.4258 631/667 [===========================>..] - ETA: 27s - loss: 62.3781 - logits_profile_predictions_loss: 61.9522 - logcount_predictions_loss: 0.4259 632/667 [===========================>..] - ETA: 26s - loss: 62.3884 - logits_profile_predictions_loss: 61.9627 - logcount_predictions_loss: 0.4257 633/667 [===========================>..] - ETA: 26s - loss: 62.3811 - logits_profile_predictions_loss: 61.9554 - logcount_predictions_loss: 0.4257 634/667 [===========================>..] - ETA: 25s - loss: 62.3792 - logits_profile_predictions_loss: 61.9535 - logcount_predictions_loss: 0.4257 635/667 [===========================>..] - ETA: 24s - loss: 62.3785 - logits_profile_predictions_loss: 61.9527 - logcount_predictions_loss: 0.4259 636/667 [===========================>..] - ETA: 23s - loss: 62.3876 - logits_profile_predictions_loss: 61.9616 - logcount_predictions_loss: 0.4260 637/667 [===========================>..] - ETA: 22s - loss: 62.3750 - logits_profile_predictions_loss: 61.9489 - logcount_predictions_loss: 0.4261 638/667 [===========================>..] - ETA: 22s - loss: 62.3771 - logits_profile_predictions_loss: 61.9509 - logcount_predictions_loss: 0.4262 639/667 [===========================>..] - ETA: 21s - loss: 62.3801 - logits_profile_predictions_loss: 61.9539 - logcount_predictions_loss: 0.4262 640/667 [===========================>..] - ETA: 20s - loss: 62.3736 - logits_profile_predictions_loss: 61.9474 - logcount_predictions_loss: 0.4262 641/667 [===========================>..] - ETA: 19s - loss: 62.3766 - logits_profile_predictions_loss: 61.9505 - logcount_predictions_loss: 0.4261 642/667 [===========================>..] - ETA: 19s - loss: 62.3627 - logits_profile_predictions_loss: 61.9368 - logcount_predictions_loss: 0.4259 643/667 [===========================>..] - ETA: 18s - loss: 62.3659 - logits_profile_predictions_loss: 61.9398 - logcount_predictions_loss: 0.4261 644/667 [===========================>..] - ETA: 17s - loss: 62.3517 - logits_profile_predictions_loss: 61.9259 - logcount_predictions_loss: 0.4259 645/667 [============================>.] - ETA: 16s - loss: 62.3427 - logits_profile_predictions_loss: 61.9170 - logcount_predictions_loss: 0.4257 646/667 [============================>.] - ETA: 16s - loss: 62.3483 - logits_profile_predictions_loss: 61.9227 - logcount_predictions_loss: 0.4257 647/667 [============================>.] - ETA: 15s - loss: 62.3485 - logits_profile_predictions_loss: 61.9229 - logcount_predictions_loss: 0.4257 648/667 [============================>.] - ETA: 14s - loss: 62.3249 - logits_profile_predictions_loss: 61.8992 - logcount_predictions_loss: 0.4258 649/667 [============================>.] - ETA: 13s - loss: 62.3244 - logits_profile_predictions_loss: 61.8990 - logcount_predictions_loss: 0.4255 650/667 [============================>.] - ETA: 13s - loss: 62.3116 - logits_profile_predictions_loss: 61.8862 - logcount_predictions_loss: 0.4255 651/667 [============================>.] - ETA: 12s - loss: 62.3154 - logits_profile_predictions_loss: 61.8899 - logcount_predictions_loss: 0.4255 652/667 [============================>.] - ETA: 11s - loss: 62.3208 - logits_profile_predictions_loss: 61.8955 - logcount_predictions_loss: 0.4253 653/667 [============================>.] - ETA: 10s - loss: 62.3148 - logits_profile_predictions_loss: 61.8898 - logcount_predictions_loss: 0.4251 654/667 [============================>.] - ETA: 9s - loss: 62.3229 - logits_profile_predictions_loss: 61.8979 - logcount_predictions_loss: 0.4250  655/667 [============================>.] - ETA: 9s - loss: 62.3184 - logits_profile_predictions_loss: 61.8936 - logcount_predictions_loss: 0.4248 656/667 [============================>.] - ETA: 8s - loss: 62.3119 - logits_profile_predictions_loss: 61.8871 - logcount_predictions_loss: 0.4248 657/667 [============================>.] - ETA: 7s - loss: 62.3166 - logits_profile_predictions_loss: 61.8920 - logcount_predictions_loss: 0.4247 658/667 [============================>.] - ETA: 6s - loss: 62.3272 - logits_profile_predictions_loss: 61.9025 - logcount_predictions_loss: 0.4247 659/667 [============================>.] - ETA: 6s - loss: 62.3202 - logits_profile_predictions_loss: 61.8953 - logcount_predictions_loss: 0.4249 660/667 [============================>.] - ETA: 5s - loss: 62.3284 - logits_profile_predictions_loss: 61.9035 - logcount_predictions_loss: 0.4250 661/667 [============================>.] - ETA: 4s - loss: 62.3253 - logits_profile_predictions_loss: 61.9003 - logcount_predictions_loss: 0.4250 662/667 [============================>.] - ETA: 3s - loss: 62.3193 - logits_profile_predictions_loss: 61.8944 - logcount_predictions_loss: 0.4249 663/667 [============================>.] - ETA: 3s - loss: 62.3222 - logits_profile_predictions_loss: 61.8970 - logcount_predictions_loss: 0.4251 664/667 [============================>.] - ETA: 2s - loss: 62.3202 - logits_profile_predictions_loss: 61.8953 - logcount_predictions_loss: 0.4249 665/667 [============================>.] - ETA: 1s - loss: 62.3336 - logits_profile_predictions_loss: 61.9086 - logcount_predictions_loss: 0.4250 666/667 [============================>.] - ETA: 0s - loss: 62.3303 - logits_profile_predictions_loss: 61.9054 - logcount_predictions_loss: 0.4249 667/667 [==============================] - ETA: 0s - loss: 62.3388 - logits_profile_predictions_loss: 61.9138 - logcount_predictions_loss: 0.4250 Epoch 11: val_loss did not improve from 68.01165  667/667 [==============================] - 528s 792ms/step - loss: 62.3388 - logits_profile_predictions_loss: 61.9138 - logcount_predictions_loss: 0.4250 - val_loss: 69.0225 - val_logits_profile_predictions_loss: 68.6155 - val_logcount_predictions_loss: 0.4070 Epoch 12/50 1/667 [..............................] - ETA: 8:48 - loss: 60.0215 - logits_profile_predictions_loss: 59.5896 - logcount_predictions_loss: 0.4319 2/667 [..............................] - ETA: 8:45 - loss: 56.5738 - logits_profile_predictions_loss: 56.1572 - logcount_predictions_loss: 0.4166 3/667 [..............................] - ETA: 8:35 - loss: 58.9415 - logits_profile_predictions_loss: 58.4542 - logcount_predictions_loss: 0.4873 4/667 [..............................] - ETA: 8:27 - loss: 58.1866 - logits_profile_predictions_loss: 57.6953 - logcount_predictions_loss: 0.4913 5/667 [..............................] - ETA: 8:21 - loss: 58.8221 - logits_profile_predictions_loss: 58.3250 - logcount_predictions_loss: 0.4971 6/667 [..............................] - ETA: 8:17 - loss: 59.8347 - logits_profile_predictions_loss: 59.3209 - logcount_predictions_loss: 0.5138 7/667 [..............................] - ETA: 8:15 - loss: 62.5966 - logits_profile_predictions_loss: 62.0954 - logcount_predictions_loss: 0.5012 8/667 [..............................] - ETA: 8:13 - loss: 62.0187 - logits_profile_predictions_loss: 61.5145 - logcount_predictions_loss: 0.5042 9/667 [..............................] - ETA: 8:14 - loss: 62.0997 - logits_profile_predictions_loss: 61.5879 - logcount_predictions_loss: 0.5117 10/667 [..............................] - ETA: 8:15 - loss: 62.0381 - logits_profile_predictions_loss: 61.5303 - logcount_predictions_loss: 0.5078 11/667 [..............................] - ETA: 8:13 - loss: 61.3734 - logits_profile_predictions_loss: 60.8823 - logcount_predictions_loss: 0.4911 12/667 [..............................] - ETA: 8:12 - loss: 60.9039 - logits_profile_predictions_loss: 60.4163 - logcount_predictions_loss: 0.4876 13/667 [..............................] - ETA: 8:11 - loss: 60.8419 - logits_profile_predictions_loss: 60.3622 - logcount_predictions_loss: 0.4798 14/667 [..............................] - ETA: 8:09 - loss: 61.2990 - logits_profile_predictions_loss: 60.8202 - logcount_predictions_loss: 0.4788 15/667 [..............................] - ETA: 8:09 - loss: 61.7397 - logits_profile_predictions_loss: 61.2712 - logcount_predictions_loss: 0.4685 16/667 [..............................] - ETA: 8:10 - loss: 61.2308 - logits_profile_predictions_loss: 60.7605 - logcount_predictions_loss: 0.4703 17/667 [..............................] - ETA: 8:09 - loss: 61.1931 - logits_profile_predictions_loss: 60.7279 - logcount_predictions_loss: 0.4651 18/667 [..............................] - ETA: 8:08 - loss: 61.4795 - logits_profile_predictions_loss: 61.0135 - logcount_predictions_loss: 0.4660 19/667 [..............................] - ETA: 8:07 - loss: 61.1407 - logits_profile_predictions_loss: 60.6842 - logcount_predictions_loss: 0.4565 20/667 [..............................] - ETA: 8:06 - loss: 61.3173 - logits_profile_predictions_loss: 60.8653 - logcount_predictions_loss: 0.4520 21/667 [..............................] - ETA: 8:05 - loss: 61.4930 - logits_profile_predictions_loss: 61.0521 - logcount_predictions_loss: 0.4409 22/667 [..............................] - ETA: 8:04 - loss: 61.1392 - logits_profile_predictions_loss: 60.7030 - logcount_predictions_loss: 0.4362 23/667 [>.............................] - ETA: 8:03 - loss: 60.9141 - logits_profile_predictions_loss: 60.4826 - logcount_predictions_loss: 0.4315 24/667 [>.............................] - ETA: 8:02 - loss: 60.6573 - logits_profile_predictions_loss: 60.2297 - logcount_predictions_loss: 0.4276 25/667 [>.............................] - ETA: 8:02 - loss: 60.8060 - logits_profile_predictions_loss: 60.3819 - logcount_predictions_loss: 0.4241 26/667 [>.............................] - ETA: 8:01 - loss: 60.5590 - logits_profile_predictions_loss: 60.1396 - logcount_predictions_loss: 0.4193 27/667 [>.............................] - ETA: 8:01 - loss: 60.3464 - logits_profile_predictions_loss: 59.9309 - logcount_predictions_loss: 0.4156 28/667 [>.............................] - ETA: 8:00 - loss: 60.6784 - logits_profile_predictions_loss: 60.2641 - logcount_predictions_loss: 0.4144 29/667 [>.............................] - ETA: 7:59 - loss: 60.6722 - logits_profile_predictions_loss: 60.2596 - logcount_predictions_loss: 0.4126 30/667 [>.............................] - ETA: 7:58 - loss: 60.5159 - logits_profile_predictions_loss: 60.1051 - logcount_predictions_loss: 0.4108 31/667 [>.............................] - ETA: 7:58 - loss: 60.5978 - logits_profile_predictions_loss: 60.1901 - logcount_predictions_loss: 0.4078 32/667 [>.............................] - ETA: 7:57 - loss: 61.1069 - logits_profile_predictions_loss: 60.6990 - logcount_predictions_loss: 0.4079 33/667 [>.............................] - ETA: 7:56 - loss: 61.2038 - logits_profile_predictions_loss: 60.7972 - logcount_predictions_loss: 0.4066 34/667 [>.............................] - ETA: 7:55 - loss: 60.8392 - logits_profile_predictions_loss: 60.4360 - logcount_predictions_loss: 0.4032 35/667 [>.............................] - ETA: 7:55 - loss: 60.9011 - logits_profile_predictions_loss: 60.4946 - logcount_predictions_loss: 0.4064 36/667 [>.............................] - ETA: 7:54 - loss: 60.9397 - logits_profile_predictions_loss: 60.5315 - logcount_predictions_loss: 0.4083 37/667 [>.............................] - ETA: 7:53 - loss: 61.2733 - logits_profile_predictions_loss: 60.8603 - logcount_predictions_loss: 0.4130 38/667 [>.............................] - ETA: 7:52 - loss: 61.2302 - logits_profile_predictions_loss: 60.8158 - logcount_predictions_loss: 0.4143 39/667 [>.............................] - ETA: 7:52 - loss: 61.1603 - logits_profile_predictions_loss: 60.7480 - logcount_predictions_loss: 0.4122 40/667 [>.............................] - ETA: 7:51 - loss: 61.1013 - logits_profile_predictions_loss: 60.6894 - logcount_predictions_loss: 0.4119 41/667 [>.............................] - ETA: 7:50 - loss: 61.1430 - logits_profile_predictions_loss: 60.7273 - logcount_predictions_loss: 0.4157 42/667 [>.............................] - ETA: 7:49 - loss: 61.4358 - logits_profile_predictions_loss: 61.0197 - logcount_predictions_loss: 0.4161 43/667 [>.............................] - ETA: 7:49 - loss: 61.4654 - logits_profile_predictions_loss: 61.0530 - logcount_predictions_loss: 0.4124 44/667 [>.............................] - ETA: 7:48 - loss: 61.4592 - logits_profile_predictions_loss: 61.0471 - logcount_predictions_loss: 0.4121 45/667 [=>............................] - ETA: 7:47 - loss: 61.4618 - logits_profile_predictions_loss: 61.0513 - logcount_predictions_loss: 0.4105 46/667 [=>............................] - ETA: 7:48 - loss: 61.3627 - logits_profile_predictions_loss: 60.9534 - logcount_predictions_loss: 0.4093 47/667 [=>............................] - ETA: 7:48 - loss: 61.4844 - logits_profile_predictions_loss: 61.0713 - logcount_predictions_loss: 0.4131 48/667 [=>............................] - ETA: 7:47 - loss: 61.5188 - logits_profile_predictions_loss: 61.1062 - logcount_predictions_loss: 0.4125 49/667 [=>............................] - ETA: 7:47 - loss: 61.2783 - logits_profile_predictions_loss: 60.8658 - logcount_predictions_loss: 0.4125 50/667 [=>............................] - ETA: 7:46 - loss: 60.9968 - logits_profile_predictions_loss: 60.5852 - logcount_predictions_loss: 0.4116 51/667 [=>............................] - ETA: 7:45 - loss: 61.0639 - logits_profile_predictions_loss: 60.6539 - logcount_predictions_loss: 0.4100 52/667 [=>............................] - ETA: 7:44 - loss: 61.0438 - logits_profile_predictions_loss: 60.6335 - logcount_predictions_loss: 0.4103 53/667 [=>............................] - ETA: 7:43 - loss: 61.0164 - logits_profile_predictions_loss: 60.6060 - logcount_predictions_loss: 0.4104 54/667 [=>............................] - ETA: 7:43 - loss: 60.8361 - logits_profile_predictions_loss: 60.4268 - logcount_predictions_loss: 0.4093 55/667 [=>............................] - ETA: 7:42 - loss: 60.8383 - logits_profile_predictions_loss: 60.4282 - logcount_predictions_loss: 0.4102 56/667 [=>............................] - ETA: 7:41 - loss: 60.7141 - logits_profile_predictions_loss: 60.3035 - logcount_predictions_loss: 0.4107 57/667 [=>............................] - ETA: 7:40 - loss: 60.6159 - logits_profile_predictions_loss: 60.2048 - logcount_predictions_loss: 0.4111 58/667 [=>............................] - ETA: 7:40 - loss: 60.5830 - logits_profile_predictions_loss: 60.1719 - logcount_predictions_loss: 0.4111 59/667 [=>............................] - ETA: 7:39 - loss: 60.4275 - logits_profile_predictions_loss: 60.0181 - logcount_predictions_loss: 0.4093 60/667 [=>............................] - ETA: 7:38 - loss: 60.5105 - logits_profile_predictions_loss: 60.1016 - logcount_predictions_loss: 0.4089 61/667 [=>............................] - ETA: 7:38 - loss: 60.6864 - logits_profile_predictions_loss: 60.2785 - logcount_predictions_loss: 0.4079 62/667 [=>............................] - ETA: 7:37 - loss: 60.7393 - logits_profile_predictions_loss: 60.3309 - logcount_predictions_loss: 0.4084 63/667 [=>............................] - ETA: 7:36 - loss: 60.6476 - logits_profile_predictions_loss: 60.2396 - logcount_predictions_loss: 0.4080 64/667 [=>............................] - ETA: 7:36 - loss: 60.6473 - logits_profile_predictions_loss: 60.2403 - logcount_predictions_loss: 0.4070 65/667 [=>............................] - ETA: 7:35 - loss: 60.7616 - logits_profile_predictions_loss: 60.3560 - logcount_predictions_loss: 0.4056 66/667 [=>............................] - ETA: 7:35 - loss: 60.7785 - logits_profile_predictions_loss: 60.3725 - logcount_predictions_loss: 0.4060 67/667 [==>...........................] - ETA: 7:35 - loss: 60.7681 - logits_profile_predictions_loss: 60.3638 - logcount_predictions_loss: 0.4043 68/667 [==>...........................] - ETA: 7:35 - loss: 60.8345 - logits_profile_predictions_loss: 60.4312 - logcount_predictions_loss: 0.4033 69/667 [==>...........................] - ETA: 7:35 - loss: 60.8963 - logits_profile_predictions_loss: 60.4944 - logcount_predictions_loss: 0.4020 70/667 [==>...........................] - ETA: 7:34 - loss: 60.9239 - logits_profile_predictions_loss: 60.5192 - logcount_predictions_loss: 0.4047 71/667 [==>...........................] - ETA: 7:33 - loss: 60.9492 - logits_profile_predictions_loss: 60.5449 - logcount_predictions_loss: 0.4043 72/667 [==>...........................] - 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[=======>......................] - ETA: 6:08 - loss: 60.9913 - logits_profile_predictions_loss: 60.5951 - logcount_predictions_loss: 0.3962 187/667 [=======>......................] - ETA: 6:07 - loss: 60.9405 - logits_profile_predictions_loss: 60.5444 - logcount_predictions_loss: 0.3961 188/667 [=======>......................] - ETA: 6:07 - loss: 60.9632 - logits_profile_predictions_loss: 60.5666 - logcount_predictions_loss: 0.3966 189/667 [=======>......................] - ETA: 6:06 - loss: 60.9877 - logits_profile_predictions_loss: 60.5907 - logcount_predictions_loss: 0.3970 190/667 [=======>......................] - ETA: 6:05 - loss: 60.9748 - logits_profile_predictions_loss: 60.5784 - logcount_predictions_loss: 0.3964 191/667 [=======>......................] - ETA: 6:04 - loss: 61.0482 - logits_profile_predictions_loss: 60.6523 - logcount_predictions_loss: 0.3960 192/667 [=======>......................] - ETA: 6:03 - loss: 61.0211 - logits_profile_predictions_loss: 60.6253 - 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logits_profile_predictions_loss: 60.9807 - logcount_predictions_loss: 0.4081 654/667 [============================>.] - ETA: 9s - loss: 61.3892 - logits_profile_predictions_loss: 60.9811 - logcount_predictions_loss: 0.4082  655/667 [============================>.] - ETA: 9s - loss: 61.3813 - logits_profile_predictions_loss: 60.9732 - logcount_predictions_loss: 0.4081 656/667 [============================>.] - ETA: 8s - loss: 61.3963 - logits_profile_predictions_loss: 60.9879 - logcount_predictions_loss: 0.4084 657/667 [============================>.] - ETA: 7s - loss: 61.3945 - logits_profile_predictions_loss: 60.9861 - logcount_predictions_loss: 0.4084 658/667 [============================>.] - ETA: 6s - loss: 61.3939 - logits_profile_predictions_loss: 60.9857 - logcount_predictions_loss: 0.4082 659/667 [============================>.] - ETA: 6s - loss: 61.3882 - logits_profile_predictions_loss: 60.9800 - logcount_predictions_loss: 0.4082 660/667 [============================>.] - ETA: 5s - loss: 61.3956 - logits_profile_predictions_loss: 60.9873 - logcount_predictions_loss: 0.4083 661/667 [============================>.] - ETA: 4s - loss: 61.3961 - logits_profile_predictions_loss: 60.9879 - logcount_predictions_loss: 0.4082 662/667 [============================>.] - ETA: 3s - loss: 61.3936 - logits_profile_predictions_loss: 60.9853 - logcount_predictions_loss: 0.4083 663/667 [============================>.] - ETA: 3s - loss: 61.3845 - logits_profile_predictions_loss: 60.9763 - logcount_predictions_loss: 0.4082 664/667 [============================>.] - ETA: 2s - loss: 61.4014 - logits_profile_predictions_loss: 60.9933 - logcount_predictions_loss: 0.4081 665/667 [============================>.] - ETA: 1s - loss: 61.3847 - logits_profile_predictions_loss: 60.9763 - logcount_predictions_loss: 0.4083 666/667 [============================>.] - ETA: 0s - loss: 61.3981 - logits_profile_predictions_loss: 60.9899 - logcount_predictions_loss: 0.4082 667/667 [==============================] - ETA: 0s - loss: 61.3929 - logits_profile_predictions_loss: 60.9847 - logcount_predictions_loss: 0.4082 Epoch 12: val_loss did not improve from 68.01165 Restoring model weights from the end of the best epoch: 7.  667/667 [==============================] - 530s 794ms/step - loss: 61.3929 - logits_profile_predictions_loss: 60.9847 - logcount_predictions_loss: 0.4082 - val_loss: 69.4076 - val_logits_profile_predictions_loss: 69.0278 - val_logcount_predictions_loss: 0.3798 Epoch 12: early stopping save model save model without bias got the model loading peaks... got split:test for bed regions:(11894, 10) 0/186 100/186 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 1/186 [..............................] - ETA: 52s 2/186 [..............................] - ETA: 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ETA: 38s 16/186 [=>............................] - ETA: 38s 17/186 [=>............................] - ETA: 38s 18/186 [=>............................] - ETA: 38s 19/186 [==>...........................] - ETA: 37s 20/186 [==>...........................] - ETA: 37s 21/186 [==>...........................] - ETA: 37s 22/186 [==>...........................] - ETA: 37s 23/186 [==>...........................] - ETA: 37s 24/186 [==>...........................] - ETA: 36s 25/186 [===>..........................] - ETA: 36s 26/186 [===>..........................] - ETA: 36s 27/186 [===>..........................] - ETA: 36s 28/186 [===>..........................] - ETA: 35s 29/186 [===>..........................] - ETA: 35s 30/186 [===>..........................] - ETA: 35s 31/186 [====>.........................] - ETA: 35s 32/186 [====>.........................] - ETA: 35s 33/186 [====>.........................] - ETA: 34s 34/186 [====>.........................] - ETA: 34s 35/186 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[===========================>..] - ETA: 2s 176/186 [===========================>..] - ETA: 2s 177/186 [===========================>..] - ETA: 2s 178/186 [===========================>..] - ETA: 1s 179/186 [===========================>..] - ETA: 1s 180/186 [============================>.] - ETA: 1s 181/186 [============================>.] - ETA: 1s 182/186 [============================>.] - ETA: 0s 183/186 [============================>.] - ETA: 0s 184/186 [============================>.] - ETA: 0s 185/186 [============================>.] - ETA: 0s 186/186 [==============================] - ETA: 0s 186/186 [==============================] - 45s 243ms/step Saving marginal footprints got the model Model: "model_1" __________________________________________________________________________________________________ Layer (type) Output Shape Param # Connected to ================================================================================================== sequence (InputLayer) [(None, 2114, 4)] 0 [] wo_bias_bpnet_1st_conv (Conv1D (None, 2094, 512) 43520 ['sequence[0][0]'] ) wo_bias_bpnet_1conv (Conv1D) (None, 2090, 512) 786944 ['wo_bias_bpnet_1st_conv[0][0]'] wo_bias_bpnet_1crop (Cropping1 (None, 2090, 512) 0 ['wo_bias_bpnet_1st_conv[0][0]'] D) add (Add) (None, 2090, 512) 0 ['wo_bias_bpnet_1conv[0][0]', 'wo_bias_bpnet_1crop[0][0]'] wo_bias_bpnet_2conv (Conv1D) (None, 2082, 512) 786944 ['add[0][0]'] wo_bias_bpnet_2crop (Cropping1 (None, 2082, 512) 0 ['add[0][0]'] D) add_1 (Add) (None, 2082, 512) 0 ['wo_bias_bpnet_2conv[0][0]', 'wo_bias_bpnet_2crop[0][0]'] wo_bias_bpnet_3conv (Conv1D) (None, 2066, 512) 786944 ['add_1[0][0]'] wo_bias_bpnet_3crop (Cropping1 (None, 2066, 512) 0 ['add_1[0][0]'] D) add_2 (Add) (None, 2066, 512) 0 ['wo_bias_bpnet_3conv[0][0]', 'wo_bias_bpnet_3crop[0][0]'] wo_bias_bpnet_4conv (Conv1D) (None, 2034, 512) 786944 ['add_2[0][0]'] wo_bias_bpnet_4crop (Cropping1 (None, 2034, 512) 0 ['add_2[0][0]'] D) add_3 (Add) (None, 2034, 512) 0 ['wo_bias_bpnet_4conv[0][0]', 'wo_bias_bpnet_4crop[0][0]'] wo_bias_bpnet_5conv (Conv1D) (None, 1970, 512) 786944 ['add_3[0][0]'] wo_bias_bpnet_5crop (Cropping1 (None, 1970, 512) 0 ['add_3[0][0]'] D) add_4 (Add) (None, 1970, 512) 0 ['wo_bias_bpnet_5conv[0][0]', 'wo_bias_bpnet_5crop[0][0]'] wo_bias_bpnet_6conv (Conv1D) (None, 1842, 512) 786944 ['add_4[0][0]'] wo_bias_bpnet_6crop (Cropping1 (None, 1842, 512) 0 ['add_4[0][0]'] D) add_5 (Add) (None, 1842, 512) 0 ['wo_bias_bpnet_6conv[0][0]', 'wo_bias_bpnet_6crop[0][0]'] wo_bias_bpnet_7conv (Conv1D) (None, 1586, 512) 786944 ['add_5[0][0]'] wo_bias_bpnet_7crop (Cropping1 (None, 1586, 512) 0 ['add_5[0][0]'] D) add_6 (Add) (None, 1586, 512) 0 ['wo_bias_bpnet_7conv[0][0]', 'wo_bias_bpnet_7crop[0][0]'] wo_bias_bpnet_8conv (Conv1D) (None, 1074, 512) 786944 ['add_6[0][0]'] wo_bias_bpnet_8crop (Cropping1 (None, 1074, 512) 0 ['add_6[0][0]'] D) add_7 (Add) (None, 1074, 512) 0 ['wo_bias_bpnet_8conv[0][0]', 'wo_bias_bpnet_8crop[0][0]'] wo_bias_bpnet_prof_out_precrop (None, 1000, 1) 38401 ['add_7[0][0]'] (Conv1D) wo_bias_bpnet_logitt_before_fl (None, 1000, 1) 0 ['wo_bias_bpnet_prof_out_precrop[ atten (Cropping1D) 0][0]'] gap (GlobalAveragePooling1D) (None, 512) 0 ['add_7[0][0]'] wo_bias_bpnet_logits_profile_p (None, 1000) 0 ['wo_bias_bpnet_logitt_before_fla redictions (Flatten) tten[0][0]'] wo_bias_bpnet_logcount_predict (None, 1) 513 ['gap[0][0]'] ions (Dense) ================================================================================================== Total params: 6,377,986 Trainable params: 6,377,986 Non-trainable params: 0 __________________________________________________________________________________________________ inferred model inputlen: 2114 Seqs dimension : (30000, 2114, 4) Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: StopGradient used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Generating 'profile' shap scores Done 0 examples of 30000 Done 100 examples of 30000 Done 200 examples of 30000 Done 300 examples of 30000 Done 400 examples of 30000 Done 500 examples of 30000 Done 600 examples of 30000 Done 700 examples of 30000 Done 800 examples of 30000 Done 900 examples of 30000 Done 1000 examples of 30000 Done 1100 examples of 30000 Done 1200 examples of 30000 Done 1300 examples of 30000 Done 1400 examples of 30000 Done 1500 examples of 30000 Done 1600 examples of 30000 Done 1700 examples of 30000 Done 1800 examples of 30000 Done 1900 examples of 30000 Done 2000 examples of 30000 Done 2100 examples of 30000 Done 2200 examples of 30000 Done 2300 examples of 30000 Done 2400 examples of 30000 Done 2500 examples of 30000 Done 2600 examples of 30000 Done 2700 examples of 30000 Done 2800 examples of 30000 Done 2900 examples of 30000 Done 3000 examples of 30000 Done 3100 examples of 30000 Done 3200 examples of 30000 Done 3300 examples of 30000 Done 3400 examples of 30000 Done 3500 examples of 30000 Done 3600 examples of 30000 Done 3700 examples of 30000 Done 3800 examples of 30000 Done 3900 examples of 30000 Done 4000 examples of 30000 Done 4100 examples of 30000 Done 4200 examples of 30000 Done 4300 examples of 30000 Done 4400 examples of 30000 Done 4500 examples of 30000 Done 4600 examples of 30000 Done 4700 examples of 30000 Done 4800 examples of 30000 Done 4900 examples of 30000 Done 5000 examples of 30000 Done 5100 examples of 30000 Done 5200 examples of 30000 Done 5300 examples of 30000 Done 5400 examples of 30000 Done 5500 examples of 30000 Done 5600 examples of 30000 Done 5700 examples of 30000 Done 5800 examples of 30000 Done 5900 examples of 30000 Done 6000 examples of 30000 Done 6100 examples of 30000 Done 6200 examples of 30000 Done 6300 examples of 30000 Done 6400 examples of 30000 Done 6500 examples of 30000 Done 6600 examples of 30000 Done 6700 examples of 30000 Done 6800 examples of 30000 Done 6900 examples of 30000 Done 7000 examples of 30000 Done 7100 examples of 30000 Done 7200 examples of 30000 Done 7300 examples of 30000 Done 7400 examples of 30000 Done 7500 examples of 30000 Done 7600 examples of 30000 Done 7700 examples of 30000 Done 7800 examples of 30000 Done 7900 examples of 30000 Done 8000 examples of 30000 Done 8100 examples of 30000 Done 8200 examples of 30000 Done 8300 examples of 30000 Done 8400 examples of 30000 Done 8500 examples of 30000 Done 8600 examples of 30000 Done 8700 examples of 30000 Done 8800 examples of 30000 Done 8900 examples of 30000 Done 9000 examples of 30000 Done 9100 examples of 30000 Done 9200 examples of 30000 Done 9300 examples of 30000 Done 9400 examples of 30000 Done 9500 examples of 30000 Done 9600 examples of 30000 Done 9700 examples of 30000 Done 9800 examples of 30000 Done 9900 examples of 30000 Done 10000 examples of 30000 Done 10100 examples of 30000 Done 10200 examples of 30000 Done 10300 examples of 30000 Done 10400 examples of 30000 Done 10500 examples of 30000 Done 10600 examples of 30000 Done 10700 examples of 30000 Done 10800 examples of 30000 Done 10900 examples of 30000 Done 11000 examples of 30000 Done 11100 examples of 30000 Done 11200 examples of 30000 Done 11300 examples of 30000 Done 11400 examples of 30000 Done 11500 examples of 30000 Done 11600 examples of 30000 Done 11700 examples of 30000 Done 11800 examples of 30000 Done 11900 examples of 30000 Done 12000 examples of 30000 Done 12100 examples of 30000 Done 12200 examples of 30000 Done 12300 examples of 30000 Done 12400 examples of 30000 Done 12500 examples of 30000 Done 12600 examples of 30000 Done 12700 examples of 30000 Done 12800 examples of 30000 Done 12900 examples of 30000 Done 13000 examples of 30000 Done 13100 examples of 30000 Done 13200 examples of 30000 Done 13300 examples of 30000 Done 13400 examples of 30000 Done 13500 examples of 30000 Done 13600 examples of 30000 Done 13700 examples of 30000 Done 13800 examples of 30000 Done 13900 examples of 30000 Done 14000 examples of 30000 Done 14100 examples of 30000 Done 14200 examples of 30000 Done 14300 examples of 30000 Done 14400 examples of 30000 Done 14500 examples of 30000 Done 14600 examples of 30000 Done 14700 examples of 30000 Done 14800 examples of 30000 Done 14900 examples of 30000 Done 15000 examples of 30000 Done 15100 examples of 30000 Done 15200 examples of 30000 Done 15300 examples of 30000 Done 15400 examples of 30000 Done 15500 examples of 30000 Done 15600 examples of 30000 Done 15700 examples of 30000 Done 15800 examples of 30000 Done 15900 examples of 30000 Done 16000 examples of 30000 Done 16100 examples of 30000 Done 16200 examples of 30000 Done 16300 examples of 30000 Done 16400 examples of 30000 Done 16500 examples of 30000 Done 16600 examples of 30000 Done 16700 examples of 30000 Done 16800 examples of 30000 Done 16900 examples of 30000 Done 17000 examples of 30000 Done 17100 examples of 30000 Done 17200 examples of 30000 Done 17300 examples of 30000 Done 17400 examples of 30000 Done 17500 examples of 30000 Done 17600 examples of 30000 Done 17700 examples of 30000 Done 17800 examples of 30000 Done 17900 examples of 30000 Done 18000 examples of 30000 Done 18100 examples of 30000 Done 18200 examples of 30000 Done 18300 examples of 30000 Done 18400 examples of 30000 Done 18500 examples of 30000 Done 18600 examples of 30000 Done 18700 examples of 30000 Done 18800 examples of 30000 Done 18900 examples of 30000 Done 19000 examples of 30000 Done 19100 examples of 30000 Done 19200 examples of 30000 Done 19300 examples of 30000 Done 19400 examples of 30000 Done 19500 examples of 30000 Done 19600 examples of 30000 Done 19700 examples of 30000 Done 19800 examples of 30000 Done 19900 examples of 30000 Done 20000 examples of 30000 Done 20100 examples of 30000 Done 20200 examples of 30000 Done 20300 examples of 30000 Done 20400 examples of 30000 Done 20500 examples of 30000 Done 20600 examples of 30000 Done 20700 examples of 30000 Done 20800 examples of 30000 Done 20900 examples of 30000 Done 21000 examples of 30000 Done 21100 examples of 30000 Done 21200 examples of 30000 Done 21300 examples of 30000 Done 21400 examples of 30000 Done 21500 examples of 30000 Done 21600 examples of 30000 Done 21700 examples of 30000 Done 21800 examples of 30000 Done 21900 examples of 30000 Done 22000 examples of 30000 Done 22100 examples of 30000 Done 22200 examples of 30000 Done 22300 examples of 30000 Done 22400 examples of 30000 Done 22500 examples of 30000 Done 22600 examples of 30000 Done 22700 examples of 30000 Done 22800 examples of 30000 Done 22900 examples of 30000 Done 23000 examples of 30000 Done 23100 examples of 30000 Done 23200 examples of 30000 Done 23300 examples of 30000 Done 23400 examples of 30000 Done 23500 examples of 30000 Done 23600 examples of 30000 Done 23700 examples of 30000 Done 23800 examples of 30000 Done 23900 examples of 30000 Done 24000 examples of 30000 Done 24100 examples of 30000 Done 24200 examples of 30000 Done 24300 examples of 30000 Done 24400 examples of 30000 Done 24500 examples of 30000 Done 24600 examples of 30000 Done 24700 examples of 30000 Done 24800 examples of 30000 Done 24900 examples of 30000 Done 25000 examples of 30000 Done 25100 examples of 30000 Done 25200 examples of 30000 Done 25300 examples of 30000 Done 25400 examples of 30000 Done 25500 examples of 30000 Done 25600 examples of 30000 Done 25700 examples of 30000 Done 25800 examples of 30000 Done 25900 examples of 30000 Done 26000 examples of 30000 Done 26100 examples of 30000 Done 26200 examples of 30000 Done 26300 examples of 30000 Done 26400 examples of 30000 Done 26500 examples of 30000 Done 26600 examples of 30000 Done 26700 examples of 30000 Done 26800 examples of 30000 Done 26900 examples of 30000 Done 27000 examples of 30000 Done 27100 examples of 30000 Done 27200 examples of 30000 Done 27300 examples of 30000 Done 27400 examples of 30000 Done 27500 examples of 30000 Done 27600 examples of 30000 Done 27700 examples of 30000 Done 27800 examples of 30000 Done 27900 examples of 30000 Done 28000 examples of 30000 Done 28100 examples of 30000 Done 28200 examples of 30000 Done 28300 examples of 30000 Done 28400 examples of 30000 Done 28500 examples of 30000 Done 28600 examples of 30000 Done 28700 examples of 30000 Done 28800 examples of 30000 Done 28900 examples of 30000 Done 29000 examples of 30000 Done 29100 examples of 30000 Done 29200 examples of 30000 Done 29300 examples of 30000 Done 29400 examples of 30000 Done 29500 examples of 30000 Done 29600 examples of 30000 Done 29700 examples of 30000 Done 29800 examples of 30000 Done 29900 examples of 30000 Saving 'profile' scores