Live Estimating enzyme shift in input file Current estimated shift: +4/-4 awk -v OFS="\t" '{if ($6=="+"){print $1,$2+0,$3,$4,$5,$6} else if ($6=="-") {print $1,$2,$3+0,$4,$5,$6}}' | sort -k1,1 | bedtools genomecov -bg -5 -i stdin -g /oak/stanford/groups/akundaje/soumyak/refs/hg38/GRCh38_EBV.chrom.sizes.tsv | LC_COLLATE="C" sort -k1,1 -k2,2n Making BedGraph (Filter chromosomes not in reference fasta) Making Bigwig non zero bigwig entries in the given chromosome: 50667 evaluating hyperparameters on the following chromosomes ['chr1', 'chr3', 'chr4', 'chr5', 'chr6', 'chr7', 'chr10', 'chr11', 'chr13', 'chr14', 'chr15', 'chr18', 'chr19', 'chr20', 'chr21', 'chr22', 'chrX', 'chrY', 'chr12', 'chr17'] Number of peaks input: 24153 Number of peaks filtered because the input/output is on the edge: 0 Number of peaks being used: 24153 Number of peaks input: 6172 Number of peaks filtered because the input/output is on the edge: 0 Number of peaks being used: 6172 Number of non peaks input: 48306 Number of non peaks filtered because the input/output is on the edge: 0 Number of non peaks being used: 48306 Number of non peaks input: 6172 Number of non peaks filtered because the input/output is on the edge: 0 Number of non peaks being used: 6172 Number of peaks after removing outliers: 24150 Number of nonpeaks after removing outliers: 10793 WARNING: you are training on low-read depth data got the model Model: "functional_1" __________________________________________________________________________________________________ Layer (type) Output Shape Param # Connected to ================================================================================================== sequence (InputLayer) [(None, 2114, 4)] 0 [] bpnet_1st_conv (Conv1D) (None, 2094, 128) 10880 ['sequence[0][0]'] bpnet_1conv (Conv1D) (None, 2090, 128) 49280 ['bpnet_1st_conv[0][0]'] bpnet_1crop (Cropping1D) (None, 2090, 128) 0 ['bpnet_1st_conv[0][0]'] add (Add) (None, 2090, 128) 0 ['bpnet_1conv[0][0]', 'bpnet_1crop[0][0]'] bpnet_2conv (Conv1D) (None, 2082, 128) 49280 ['add[0][0]'] bpnet_2crop (Cropping1D) (None, 2082, 128) 0 ['add[0][0]'] add_1 (Add) (None, 2082, 128) 0 ['bpnet_2conv[0][0]', 'bpnet_2crop[0][0]'] bpnet_3conv (Conv1D) (None, 2066, 128) 49280 ['add_1[0][0]'] bpnet_3crop (Cropping1D) (None, 2066, 128) 0 ['add_1[0][0]'] add_2 (Add) (None, 2066, 128) 0 ['bpnet_3conv[0][0]', 'bpnet_3crop[0][0]'] bpnet_4conv (Conv1D) (None, 2034, 128) 49280 ['add_2[0][0]'] bpnet_4crop (Cropping1D) (None, 2034, 128) 0 ['add_2[0][0]'] add_3 (Add) (None, 2034, 128) 0 ['bpnet_4conv[0][0]', 'bpnet_4crop[0][0]'] prof_out_precrop (Conv1D) (None, 1960, 1) 9601 ['add_3[0][0]'] logits_profile_predictions_pre (None, 1000, 1) 0 ['prof_out_precrop[0][0]'] flatten (Cropping1D) gap (GlobalAveragePooling1D) (None, 128) 0 ['add_3[0][0]'] logits_profile_predictions (Fl (None, 1000) 0 ['logits_profile_predictions_pref atten) latten[0][0]'] logcount_predictions (Dense) (None, 1) 129 ['gap[0][0]'] ================================================================================================== Total params: 217,730 Trainable params: 217,730 Non-trainable params: 0 __________________________________________________________________________________________________ Predicting within adjust counts 1/338 [..............................] - ETA: 8:23 6/338 [..............................] - ETA: 3s  10/338 [..............................] - ETA: 3s 14/338 [>.............................] - ETA: 3s 18/338 [>.............................] - ETA: 3s 22/338 [>.............................] - ETA: 3s 26/338 [=>............................] - ETA: 3s 31/338 [=>............................] - ETA: 3s 36/338 [==>...........................] - ETA: 3s 41/338 [==>...........................] - ETA: 3s 46/338 [===>..........................] - ETA: 3s 50/338 [===>..........................] - ETA: 3s 54/338 [===>..........................] - ETA: 3s 59/338 [====>.........................] - ETA: 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[=========================>....] - ETA: 0s 298/338 [=========================>....] - ETA: 0s 302/338 [=========================>....] - ETA: 0s 306/338 [==========================>...] - ETA: 0s 310/338 [==========================>...] - ETA: 0s 314/338 [==========================>...] - ETA: 0s 318/338 [===========================>..] - ETA: 0s 322/338 [===========================>..] - ETA: 0s 326/338 [===========================>..] - ETA: 0s 330/338 [============================>.] - ETA: 0s 334/338 [============================>.] - ETA: 0s 338/338 [==============================] - ETA: 0s 338/338 [==============================] - 6s 13ms/step got the model loading peaks... got split:test for bed regions:(6172, 10) 0/97 Bias model pearsonr performance in peaks is: -0.14 {'counts_loss_weight': '1.0', 'filters': '512', 'n_dil_layers': '8', 'bias_model_path': '/oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.endocardial.In/fold_1/models/bias_model_scaled.h5', 'inputlen': '2114', 'outputlen': '1000', 'max_jitter': '500', 'chr_fold_path': '/oak/stanford/groups/akundaje/soumyak/refs/hg38/splits/fold_1.json', 'negative_sampling_ratio': '0.1'} got the model loading peaks... got split:train for bed regions:(21021, 10) loading nonpeaks... got split:train for bed regions:(9147, 10) loading peaks... got split:valid for bed regions:(3129, 10) loading nonpeaks... got split:valid for bed regions:(1646, 10) Epoch 1/50 1/362 [..............................] - ETA: 39:14 - loss: 38.7843 - logits_profile_predictions_loss: 37.9361 - logcount_predictions_loss: 0.8482 2/362 [..............................] - ETA: 4:20 - loss: 751.7722 - logits_profile_predictions_loss: 39.1501 - logcount_predictions_loss: 712.6222 3/362 [..............................] - ETA: 4:19 - loss: 518.4038 - logits_profile_predictions_loss: 42.9912 - logcount_predictions_loss: 475.4127 4/362 [..............................] - ETA: 4:18 - loss: 399.9216 - logits_profile_predictions_loss: 43.0422 - logcount_predictions_loss: 356.8794 5/362 [..............................] - ETA: 4:17 - loss: 327.5034 - logits_profile_predictions_loss: 41.7955 - logcount_predictions_loss: 285.7079 6/362 [..............................] - ETA: 4:16 - loss: 280.1526 - logits_profile_predictions_loss: 41.8345 - logcount_predictions_loss: 238.3181 7/362 [..............................] - ETA: 4:15 - loss: 246.5771 - logits_profile_predictions_loss: 42.0898 - logcount_predictions_loss: 204.4872 8/362 [..............................] - ETA: 4:14 - loss: 221.4314 - logits_profile_predictions_loss: 42.3129 - logcount_predictions_loss: 179.1185 9/362 [..............................] - ETA: 4:13 - loss: 202.0200 - logits_profile_predictions_loss: 42.6184 - logcount_predictions_loss: 159.4016 10/362 [..............................] - ETA: 4:12 - loss: 186.6554 - logits_profile_predictions_loss: 43.0225 - logcount_predictions_loss: 143.6329 11/362 [..............................] - ETA: 4:11 - loss: 173.1960 - logits_profile_predictions_loss: 42.5084 - logcount_predictions_loss: 130.6875 12/362 [..............................] - ETA: 4:10 - loss: 162.4630 - logits_profile_predictions_loss: 42.5345 - logcount_predictions_loss: 119.9285 13/362 [>.............................] - ETA: 4:10 - loss: 152.9271 - logits_profile_predictions_loss: 42.1311 - logcount_predictions_loss: 110.7960 14/362 [>.............................] - ETA: 4:09 - loss: 144.8322 - logits_profile_predictions_loss: 41.8575 - logcount_predictions_loss: 102.9747 15/362 [>.............................] - ETA: 4:08 - loss: 138.2763 - logits_profile_predictions_loss: 42.0619 - logcount_predictions_loss: 96.2144  16/362 [>.............................] - ETA: 4:07 - loss: 132.5668 - logits_profile_predictions_loss: 42.2665 - logcount_predictions_loss: 90.3002 17/362 [>.............................] - ETA: 4:06 - loss: 127.4249 - logits_profile_predictions_loss: 42.3468 - logcount_predictions_loss: 85.0780 18/362 [>.............................] - ETA: 4:05 - loss: 122.7954 - logits_profile_predictions_loss: 42.3620 - logcount_predictions_loss: 80.4333 19/362 [>.............................] - ETA: 4:05 - loss: 118.5369 - logits_profile_predictions_loss: 42.2629 - logcount_predictions_loss: 76.2740 20/362 [>.............................] - ETA: 4:04 - loss: 115.0271 - logits_profile_predictions_loss: 42.4807 - logcount_predictions_loss: 72.5464 21/362 [>.............................] - ETA: 4:03 - loss: 111.9903 - logits_profile_predictions_loss: 42.8080 - logcount_predictions_loss: 69.1822 22/362 [>.............................] - ETA: 4:02 - loss: 108.8011 - logits_profile_predictions_loss: 42.6963 - logcount_predictions_loss: 66.1048 23/362 [>.............................] - ETA: 4:01 - loss: 105.9285 - logits_profile_predictions_loss: 42.6338 - logcount_predictions_loss: 63.2947 24/362 [>.............................] - ETA: 4:01 - loss: 103.4875 - logits_profile_predictions_loss: 42.7604 - logcount_predictions_loss: 60.7271 25/362 [=>............................] - ETA: 4:00 - loss: 101.1199 - logits_profile_predictions_loss: 42.7647 - logcount_predictions_loss: 58.3552 26/362 [=>............................] - ETA: 3:59 - loss: 98.7993 - logits_profile_predictions_loss: 42.6337 - logcount_predictions_loss: 56.1656  27/362 [=>............................] - ETA: 3:58 - loss: 96.8533 - logits_profile_predictions_loss: 42.7041 - logcount_predictions_loss: 54.1492 28/362 [=>............................] - ETA: 3:58 - loss: 95.0253 - logits_profile_predictions_loss: 42.7500 - logcount_predictions_loss: 52.2752 29/362 [=>............................] - ETA: 3:57 - loss: 93.3251 - logits_profile_predictions_loss: 42.7981 - logcount_predictions_loss: 50.5269 30/362 [=>............................] - ETA: 3:56 - loss: 91.8155 - logits_profile_predictions_loss: 42.9155 - logcount_predictions_loss: 48.9000 31/362 [=>............................] - ETA: 3:55 - loss: 90.2446 - logits_profile_predictions_loss: 42.8761 - logcount_predictions_loss: 47.3685 32/362 [=>............................] - ETA: 3:55 - loss: 88.6064 - logits_profile_predictions_loss: 42.6818 - logcount_predictions_loss: 45.9246 33/362 [=>............................] - ETA: 3:54 - loss: 87.3521 - logits_profile_predictions_loss: 42.7680 - logcount_predictions_loss: 44.5841 34/362 [=>............................] - ETA: 3:53 - loss: 86.1358 - logits_profile_predictions_loss: 42.8183 - logcount_predictions_loss: 43.3174 35/362 [=>............................] - ETA: 3:53 - loss: 84.9250 - logits_profile_predictions_loss: 42.8008 - logcount_predictions_loss: 42.1242 36/362 [=>............................] - ETA: 3:52 - loss: 83.8507 - logits_profile_predictions_loss: 42.8484 - logcount_predictions_loss: 41.0022 37/362 [==>...........................] - ETA: 3:51 - loss: 82.6995 - logits_profile_predictions_loss: 42.7695 - logcount_predictions_loss: 39.9300 38/362 [==>...........................] - ETA: 3:50 - loss: 81.7809 - logits_profile_predictions_loss: 42.8581 - logcount_predictions_loss: 38.9229 39/362 [==>...........................] - ETA: 3:50 - loss: 80.7270 - logits_profile_predictions_loss: 42.7689 - logcount_predictions_loss: 37.9580 40/362 [==>...........................] - ETA: 3:49 - loss: 79.7804 - logits_profile_predictions_loss: 42.7360 - logcount_predictions_loss: 37.0444 41/362 [==>...........................] - ETA: 3:48 - loss: 78.9700 - logits_profile_predictions_loss: 42.7876 - logcount_predictions_loss: 36.1823 42/362 [==>...........................] - ETA: 3:47 - loss: 78.2719 - logits_profile_predictions_loss: 42.9086 - logcount_predictions_loss: 35.3633 43/362 [==>...........................] - ETA: 3:47 - loss: 77.6029 - logits_profile_predictions_loss: 43.0214 - logcount_predictions_loss: 34.5815 44/362 [==>...........................] - ETA: 3:46 - loss: 76.7992 - logits_profile_predictions_loss: 42.9717 - logcount_predictions_loss: 33.8275 45/362 [==>...........................] - ETA: 3:45 - loss: 76.1676 - logits_profile_predictions_loss: 43.0532 - logcount_predictions_loss: 33.1144 46/362 [==>...........................] - ETA: 3:45 - loss: 75.5717 - logits_profile_predictions_loss: 43.1380 - logcount_predictions_loss: 32.4337 47/362 [==>...........................] - ETA: 3:44 - loss: 74.7978 - logits_profile_predictions_loss: 43.0294 - logcount_predictions_loss: 31.7684 48/362 [==>...........................] - ETA: 3:43 - loss: 74.3037 - logits_profile_predictions_loss: 43.1599 - logcount_predictions_loss: 31.1438 49/362 [===>..........................] - ETA: 3:43 - loss: 73.6616 - logits_profile_predictions_loss: 43.1252 - logcount_predictions_loss: 30.5364 50/362 [===>..........................] - ETA: 3:42 - loss: 73.0158 - logits_profile_predictions_loss: 43.0621 - logcount_predictions_loss: 29.9537 51/362 [===>..........................] - ETA: 3:41 - loss: 72.4149 - logits_profile_predictions_loss: 43.0233 - logcount_predictions_loss: 29.3915 52/362 [===>..........................] - ETA: 3:40 - loss: 71.8555 - logits_profile_predictions_loss: 43.0034 - logcount_predictions_loss: 28.8520 53/362 [===>..........................] - ETA: 3:40 - loss: 71.1820 - logits_profile_predictions_loss: 42.8546 - logcount_predictions_loss: 28.3274 54/362 [===>..........................] - ETA: 3:39 - loss: 70.6489 - logits_profile_predictions_loss: 42.8200 - logcount_predictions_loss: 27.8289 55/362 [===>..........................] - ETA: 3:38 - loss: 70.2331 - logits_profile_predictions_loss: 42.8822 - logcount_predictions_loss: 27.3509 56/362 [===>..........................] - ETA: 3:38 - loss: 69.6766 - logits_profile_predictions_loss: 42.7952 - logcount_predictions_loss: 26.8814 57/362 [===>..........................] - ETA: 3:37 - loss: 69.0728 - logits_profile_predictions_loss: 42.6484 - logcount_predictions_loss: 26.4244 58/362 [===>..........................] - ETA: 3:36 - loss: 68.7178 - logits_profile_predictions_loss: 42.7241 - logcount_predictions_loss: 25.9937 59/362 [===>..........................] - ETA: 3:36 - loss: 68.2126 - logits_profile_predictions_loss: 42.6420 - logcount_predictions_loss: 25.5706 60/362 [===>..........................] - ETA: 3:35 - loss: 67.7939 - logits_profile_predictions_loss: 42.6292 - logcount_predictions_loss: 25.1647 61/362 [====>.........................] - ETA: 3:34 - loss: 67.3525 - logits_profile_predictions_loss: 42.5831 - logcount_predictions_loss: 24.7694 62/362 [====>.........................] - ETA: 3:34 - loss: 66.9804 - logits_profile_predictions_loss: 42.5946 - logcount_predictions_loss: 24.3858 63/362 [====>.........................] - ETA: 3:33 - loss: 66.5692 - logits_profile_predictions_loss: 42.5574 - logcount_predictions_loss: 24.0118 64/362 [====>.........................] - ETA: 3:32 - loss: 66.2046 - logits_profile_predictions_loss: 42.5547 - logcount_predictions_loss: 23.6499 65/362 [====>.........................] - ETA: 3:32 - loss: 65.8667 - logits_profile_predictions_loss: 42.5696 - logcount_predictions_loss: 23.2971 66/362 [====>.........................] - ETA: 3:31 - loss: 65.5184 - logits_profile_predictions_loss: 42.5638 - logcount_predictions_loss: 22.9547 67/362 [====>.........................] - ETA: 3:30 - loss: 65.2501 - logits_profile_predictions_loss: 42.6292 - logcount_predictions_loss: 22.6209 68/362 [====>.........................] - ETA: 3:30 - loss: 64.9466 - logits_profile_predictions_loss: 42.6479 - logcount_predictions_loss: 22.2987 69/362 [====>.........................] - ETA: 3:29 - loss: 64.5796 - logits_profile_predictions_loss: 42.5949 - logcount_predictions_loss: 21.9846 70/362 [====>.........................] - ETA: 3:28 - loss: 64.2535 - logits_profile_predictions_loss: 42.5718 - logcount_predictions_loss: 21.6817 71/362 [====>.........................] - ETA: 3:28 - loss: 63.9840 - logits_profile_predictions_loss: 42.6010 - logcount_predictions_loss: 21.3829 72/362 [====>.........................] - ETA: 3:27 - loss: 63.7282 - logits_profile_predictions_loss: 42.6348 - logcount_predictions_loss: 21.0933 73/362 [=====>........................] - ETA: 3:26 - loss: 63.3974 - logits_profile_predictions_loss: 42.5848 - logcount_predictions_loss: 20.8125 74/362 [=====>........................] - ETA: 3:25 - loss: 63.0997 - logits_profile_predictions_loss: 42.5595 - logcount_predictions_loss: 20.5402 75/362 [=====>........................] - ETA: 3:25 - loss: 62.8918 - logits_profile_predictions_loss: 42.6146 - logcount_predictions_loss: 20.2772 76/362 [=====>........................] - ETA: 3:24 - loss: 62.6004 - logits_profile_predictions_loss: 42.5817 - logcount_predictions_loss: 20.0186 77/362 [=====>........................] - ETA: 3:24 - loss: 62.2424 - logits_profile_predictions_loss: 42.4769 - logcount_predictions_loss: 19.7656 78/362 [=====>........................] - ETA: 3:23 - loss: 61.9816 - logits_profile_predictions_loss: 42.4628 - logcount_predictions_loss: 19.5188 79/362 [=====>........................] - ETA: 3:22 - loss: 61.7274 - logits_profile_predictions_loss: 42.4477 - logcount_predictions_loss: 19.2796 80/362 [=====>........................] - ETA: 3:22 - loss: 61.4916 - logits_profile_predictions_loss: 42.4457 - logcount_predictions_loss: 19.0459 81/362 [=====>........................] - ETA: 3:21 - loss: 61.2629 - logits_profile_predictions_loss: 42.4449 - logcount_predictions_loss: 18.8180 82/362 [=====>........................] - ETA: 3:20 - loss: 61.0057 - logits_profile_predictions_loss: 42.4114 - logcount_predictions_loss: 18.5943 83/362 [=====>........................] - ETA: 3:20 - loss: 60.8101 - logits_profile_predictions_loss: 42.4338 - logcount_predictions_loss: 18.3764 84/362 [=====>........................] - ETA: 3:19 - loss: 60.5861 - logits_profile_predictions_loss: 42.4205 - logcount_predictions_loss: 18.1656 85/362 [======>.......................] - ETA: 3:18 - loss: 60.3816 - logits_profile_predictions_loss: 42.4219 - logcount_predictions_loss: 17.9598 86/362 [======>.......................] - ETA: 3:18 - loss: 60.2133 - logits_profile_predictions_loss: 42.4535 - logcount_predictions_loss: 17.7598 87/362 [======>.......................] - ETA: 3:17 - loss: 59.9871 - logits_profile_predictions_loss: 42.4253 - logcount_predictions_loss: 17.5618 88/362 [======>.......................] - ETA: 3:16 - loss: 59.7450 - logits_profile_predictions_loss: 42.3769 - logcount_predictions_loss: 17.3681 89/362 [======>.......................] - ETA: 3:15 - loss: 59.6079 - logits_profile_predictions_loss: 42.4287 - logcount_predictions_loss: 17.1793 90/362 [======>.......................] - ETA: 3:15 - loss: 59.4108 - logits_profile_predictions_loss: 42.4158 - logcount_predictions_loss: 16.9950 91/362 [======>.......................] - ETA: 3:14 - loss: 59.2062 - logits_profile_predictions_loss: 42.3916 - logcount_predictions_loss: 16.8146 92/362 [======>.......................] - ETA: 3:17 - loss: 58.9609 - logits_profile_predictions_loss: 42.3236 - logcount_predictions_loss: 16.6374 93/362 [======>.......................] - ETA: 3:16 - loss: 58.7639 - logits_profile_predictions_loss: 42.2997 - logcount_predictions_loss: 16.4642 94/362 [======>.......................] - ETA: 3:15 - loss: 58.6288 - logits_profile_predictions_loss: 42.3333 - logcount_predictions_loss: 16.2955 95/362 [======>.......................] - ETA: 3:15 - loss: 58.4184 - logits_profile_predictions_loss: 42.2898 - logcount_predictions_loss: 16.1286 96/362 [======>.......................] - ETA: 3:14 - loss: 58.2540 - logits_profile_predictions_loss: 42.2879 - logcount_predictions_loss: 15.9661 97/362 [=======>......................] - ETA: 3:13 - loss: 58.1345 - logits_profile_predictions_loss: 42.3264 - logcount_predictions_loss: 15.8081 98/362 [=======>......................] - ETA: 3:12 - loss: 57.9237 - logits_profile_predictions_loss: 42.2729 - logcount_predictions_loss: 15.6508 99/362 [=======>......................] - ETA: 3:12 - loss: 57.7286 - logits_profile_predictions_loss: 42.2303 - logcount_predictions_loss: 15.4983 100/362 [=======>......................] - ETA: 3:11 - loss: 57.5926 - logits_profile_predictions_loss: 42.2434 - logcount_predictions_loss: 15.3492 101/362 [=======>......................] - ETA: 3:10 - loss: 57.4688 - logits_profile_predictions_loss: 42.2662 - logcount_predictions_loss: 15.2026 102/362 [=======>......................] - ETA: 3:09 - loss: 57.2968 - logits_profile_predictions_loss: 42.2378 - logcount_predictions_loss: 15.0590 103/362 [=======>......................] - ETA: 3:08 - loss: 57.1415 - 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logcount_predictions_loss: 4.6796 358/362 [============================>.] - ETA: 2s - loss: 46.2546 - logits_profile_predictions_loss: 41.5867 - logcount_predictions_loss: 4.6679 359/362 [============================>.] - ETA: 2s - loss: 46.2304 - logits_profile_predictions_loss: 41.5742 - logcount_predictions_loss: 4.6562 360/362 [============================>.] - ETA: 1s - loss: 46.2180 - logits_profile_predictions_loss: 41.5738 - logcount_predictions_loss: 4.6442 361/362 [============================>.] - ETA: 0s - loss: 46.2094 - logits_profile_predictions_loss: 41.5769 - logcount_predictions_loss: 4.6325 362/362 [==============================] - ETA: 0s - loss: 46.1975 - logits_profile_predictions_loss: 41.5770 - logcount_predictions_loss: 4.6205 Epoch 1: val_loss improved from inf to 49.15346, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.endocardial.In/fold_1/models/chrombpnet.h5  362/362 [==============================] - 296s 801ms/step - loss: 46.1975 - logits_profile_predictions_loss: 41.5770 - logcount_predictions_loss: 4.6205 - val_loss: 49.1535 - val_logits_profile_predictions_loss: 48.7431 - val_logcount_predictions_loss: 0.4103 Epoch 2/50 1/362 [..............................] - ETA: 4:24 - loss: 39.7972 - logits_profile_predictions_loss: 39.4455 - logcount_predictions_loss: 0.3516 2/362 [..............................] - ETA: 4:15 - loss: 43.4062 - logits_profile_predictions_loss: 43.0018 - logcount_predictions_loss: 0.4045 3/362 [..............................] - ETA: 4:14 - loss: 44.5152 - logits_profile_predictions_loss: 44.0845 - logcount_predictions_loss: 0.4307 4/362 [..............................] - ETA: 4:14 - loss: 43.4000 - logits_profile_predictions_loss: 42.9613 - logcount_predictions_loss: 0.4387 5/362 [..............................] - ETA: 4:13 - loss: 44.3107 - logits_profile_predictions_loss: 43.8651 - logcount_predictions_loss: 0.4456 6/362 [..............................] - ETA: 4:13 - loss: 42.9532 - logits_profile_predictions_loss: 42.5172 - logcount_predictions_loss: 0.4360 7/362 [..............................] - ETA: 4:12 - loss: 43.3957 - logits_profile_predictions_loss: 42.9689 - logcount_predictions_loss: 0.4268 8/362 [..............................] - ETA: 4:11 - loss: 44.0782 - logits_profile_predictions_loss: 43.6380 - logcount_predictions_loss: 0.4401 9/362 [..............................] - ETA: 4:10 - loss: 43.6698 - logits_profile_predictions_loss: 43.2284 - logcount_predictions_loss: 0.4415 10/362 [..............................] - ETA: 4:10 - loss: 43.1630 - logits_profile_predictions_loss: 42.7309 - logcount_predictions_loss: 0.4321 11/362 [..............................] - ETA: 4:09 - loss: 42.5643 - logits_profile_predictions_loss: 42.1366 - logcount_predictions_loss: 0.4277 12/362 [..............................] - ETA: 4:08 - loss: 42.7496 - logits_profile_predictions_loss: 42.3289 - 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[=======>......................] - ETA: 3:03 - loss: 41.5006 - logits_profile_predictions_loss: 41.0629 - logcount_predictions_loss: 0.4377 108/362 [=======>......................] - ETA: 3:02 - loss: 41.5408 - logits_profile_predictions_loss: 41.1035 - logcount_predictions_loss: 0.4373 109/362 [========>.....................] - ETA: 3:02 - loss: 41.5978 - logits_profile_predictions_loss: 41.1607 - logcount_predictions_loss: 0.4371 110/362 [========>.....................] - ETA: 3:01 - loss: 41.6198 - logits_profile_predictions_loss: 41.1828 - logcount_predictions_loss: 0.4370 111/362 [========>.....................] - ETA: 3:00 - loss: 41.6263 - logits_profile_predictions_loss: 41.1896 - logcount_predictions_loss: 0.4367 112/362 [========>.....................] - ETA: 3:00 - loss: 41.5937 - logits_profile_predictions_loss: 41.1585 - logcount_predictions_loss: 0.4352 113/362 [========>.....................] - ETA: 2:59 - loss: 41.6187 - logits_profile_predictions_loss: 41.1836 - 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[=========================>....] - ETA: 30s - loss: 41.2788 - logits_profile_predictions_loss: 40.8676 - logcount_predictions_loss: 0.4112 322/362 [=========================>....] - ETA: 29s - loss: 41.2721 - logits_profile_predictions_loss: 40.8607 - logcount_predictions_loss: 0.4114 323/362 [=========================>....] - ETA: 28s - loss: 41.2989 - logits_profile_predictions_loss: 40.8870 - logcount_predictions_loss: 0.4119 324/362 [=========================>....] - ETA: 27s - loss: 41.3292 - logits_profile_predictions_loss: 40.9172 - logcount_predictions_loss: 0.4119 325/362 [=========================>....] - ETA: 27s - loss: 41.3351 - logits_profile_predictions_loss: 40.9231 - logcount_predictions_loss: 0.4120 326/362 [==========================>...] - ETA: 26s - loss: 41.3511 - logits_profile_predictions_loss: 40.9394 - logcount_predictions_loss: 0.4117 327/362 [==========================>...] - ETA: 25s - loss: 41.3583 - logits_profile_predictions_loss: 40.9461 - 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[===========================>..] - ETA: 10s - loss: 41.3781 - logits_profile_predictions_loss: 40.9672 - logcount_predictions_loss: 0.4109 349/362 [===========================>..] - ETA: 9s - loss: 41.3739 - logits_profile_predictions_loss: 40.9630 - logcount_predictions_loss: 0.4110  350/362 [============================>.] - ETA: 8s - loss: 41.3637 - logits_profile_predictions_loss: 40.9530 - logcount_predictions_loss: 0.4107 351/362 [============================>.] - ETA: 8s - loss: 41.3743 - logits_profile_predictions_loss: 40.9634 - logcount_predictions_loss: 0.4109 352/362 [============================>.] - ETA: 7s - loss: 41.3718 - logits_profile_predictions_loss: 40.9610 - logcount_predictions_loss: 0.4109 353/362 [============================>.] - ETA: 6s - loss: 41.3804 - logits_profile_predictions_loss: 40.9697 - logcount_predictions_loss: 0.4107 354/362 [============================>.] - ETA: 5s - loss: 41.3824 - logits_profile_predictions_loss: 40.9717 - 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logits_profile_predictions_loss: 40.9961 - logcount_predictions_loss: 0.4102 362/362 [==============================] - ETA: 0s - loss: 41.4005 - logits_profile_predictions_loss: 40.9907 - logcount_predictions_loss: 0.4098 Epoch 2: val_loss improved from 49.15346 to 48.73388, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.endocardial.In/fold_1/models/chrombpnet.h5  362/362 [==============================] - 288s 795ms/step - loss: 41.4005 - logits_profile_predictions_loss: 40.9907 - logcount_predictions_loss: 0.4098 - val_loss: 48.7339 - val_logits_profile_predictions_loss: 48.3409 - val_logcount_predictions_loss: 0.3929 Epoch 3/50 1/362 [..............................] - ETA: 4:20 - loss: 46.4448 - logits_profile_predictions_loss: 46.1265 - logcount_predictions_loss: 0.3183 2/362 [..............................] - ETA: 4:15 - loss: 44.3491 - logits_profile_predictions_loss: 43.9827 - 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[>.............................] - ETA: 4:01 - loss: 42.1293 - logits_profile_predictions_loss: 41.6953 - logcount_predictions_loss: 0.4340 24/362 [>.............................] - ETA: 4:01 - loss: 42.2347 - logits_profile_predictions_loss: 41.8053 - logcount_predictions_loss: 0.4294 25/362 [=>............................] - ETA: 4:00 - loss: 42.4029 - logits_profile_predictions_loss: 41.9723 - logcount_predictions_loss: 0.4307 26/362 [=>............................] - ETA: 3:59 - loss: 42.1977 - logits_profile_predictions_loss: 41.7714 - logcount_predictions_loss: 0.4263 27/362 [=>............................] - ETA: 3:58 - loss: 42.2780 - logits_profile_predictions_loss: 41.8520 - logcount_predictions_loss: 0.4259 28/362 [=>............................] - ETA: 3:58 - loss: 42.0991 - logits_profile_predictions_loss: 41.6725 - logcount_predictions_loss: 0.4265 29/362 [=>............................] - ETA: 3:57 - loss: 42.0055 - logits_profile_predictions_loss: 41.5804 - 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[===>..........................] - ETA: 3:40 - loss: 42.1920 - logits_profile_predictions_loss: 41.7769 - logcount_predictions_loss: 0.4151 51/362 [===>..........................] - ETA: 3:39 - loss: 42.1122 - logits_profile_predictions_loss: 41.6996 - logcount_predictions_loss: 0.4126 52/362 [===>..........................] - ETA: 3:39 - loss: 42.1343 - logits_profile_predictions_loss: 41.7208 - logcount_predictions_loss: 0.4135 53/362 [===>..........................] - ETA: 3:38 - loss: 42.0208 - logits_profile_predictions_loss: 41.6063 - logcount_predictions_loss: 0.4144 54/362 [===>..........................] - ETA: 3:37 - loss: 41.8375 - logits_profile_predictions_loss: 41.4253 - logcount_predictions_loss: 0.4123 55/362 [===>..........................] - ETA: 3:37 - loss: 41.8404 - logits_profile_predictions_loss: 41.4275 - logcount_predictions_loss: 0.4129 56/362 [===>..........................] - ETA: 3:36 - loss: 41.8358 - logits_profile_predictions_loss: 41.4221 - 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[=====>........................] - ETA: 3:24 - loss: 41.8673 - logits_profile_predictions_loss: 41.4590 - logcount_predictions_loss: 0.4083 78/362 [=====>........................] - ETA: 3:23 - loss: 41.8445 - logits_profile_predictions_loss: 41.4370 - logcount_predictions_loss: 0.4075 79/362 [=====>........................] - ETA: 3:23 - loss: 41.8475 - logits_profile_predictions_loss: 41.4403 - logcount_predictions_loss: 0.4073 80/362 [=====>........................] - ETA: 3:22 - loss: 41.8664 - logits_profile_predictions_loss: 41.4610 - logcount_predictions_loss: 0.4054 81/362 [=====>........................] - ETA: 3:21 - loss: 41.9292 - logits_profile_predictions_loss: 41.5246 - logcount_predictions_loss: 0.4046 82/362 [=====>........................] - ETA: 3:21 - loss: 41.8962 - logits_profile_predictions_loss: 41.4916 - logcount_predictions_loss: 0.4045 83/362 [=====>........................] - ETA: 3:20 - loss: 41.8119 - logits_profile_predictions_loss: 41.4089 - 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- ETA: 42s - loss: 40.9850 - logits_profile_predictions_loss: 40.6165 - logcount_predictions_loss: 0.3685 305/362 [========================>.....] - ETA: 42s - loss: 41.0127 - logits_profile_predictions_loss: 40.6435 - logcount_predictions_loss: 0.3692 306/362 [========================>.....] - ETA: 41s - loss: 41.0061 - logits_profile_predictions_loss: 40.6367 - logcount_predictions_loss: 0.3695 307/362 [========================>.....] - ETA: 40s - loss: 40.9903 - logits_profile_predictions_loss: 40.6210 - logcount_predictions_loss: 0.3693 308/362 [========================>.....] - ETA: 39s - loss: 40.9904 - logits_profile_predictions_loss: 40.6211 - logcount_predictions_loss: 0.3693 309/362 [========================>.....] - ETA: 39s - loss: 40.9819 - logits_profile_predictions_loss: 40.6126 - logcount_predictions_loss: 0.3694 310/362 [========================>.....] - ETA: 38s - loss: 40.9828 - logits_profile_predictions_loss: 40.6131 - logcount_predictions_loss: 0.3696 311/362 [========================>.....] - ETA: 37s - loss: 40.9964 - logits_profile_predictions_loss: 40.6269 - logcount_predictions_loss: 0.3695 312/362 [========================>.....] - ETA: 36s - loss: 41.0153 - logits_profile_predictions_loss: 40.6461 - logcount_predictions_loss: 0.3693 313/362 [========================>.....] - ETA: 36s - loss: 41.0069 - logits_profile_predictions_loss: 40.6375 - logcount_predictions_loss: 0.3693 314/362 [=========================>....] - ETA: 35s - loss: 41.0020 - logits_profile_predictions_loss: 40.6327 - logcount_predictions_loss: 0.3694 315/362 [=========================>....] - ETA: 34s - loss: 41.0097 - logits_profile_predictions_loss: 40.6405 - logcount_predictions_loss: 0.3692 316/362 [=========================>....] - ETA: 33s - loss: 41.0034 - logits_profile_predictions_loss: 40.6343 - logcount_predictions_loss: 0.3692 317/362 [=========================>....] - ETA: 33s - loss: 41.0147 - logits_profile_predictions_loss: 40.6454 - 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[===========================>..] - ETA: 17s - loss: 40.9966 - logits_profile_predictions_loss: 40.6305 - logcount_predictions_loss: 0.3661 339/362 [===========================>..] - ETA: 16s - loss: 41.0019 - logits_profile_predictions_loss: 40.6360 - logcount_predictions_loss: 0.3659 340/362 [===========================>..] - ETA: 16s - loss: 40.9925 - logits_profile_predictions_loss: 40.6267 - logcount_predictions_loss: 0.3658 341/362 [===========================>..] - ETA: 15s - loss: 40.9871 - logits_profile_predictions_loss: 40.6215 - logcount_predictions_loss: 0.3656 342/362 [===========================>..] - ETA: 14s - loss: 40.9719 - logits_profile_predictions_loss: 40.6065 - logcount_predictions_loss: 0.3654 343/362 [===========================>..] - ETA: 14s - loss: 40.9739 - logits_profile_predictions_loss: 40.6088 - logcount_predictions_loss: 0.3651 344/362 [===========================>..] - ETA: 13s - loss: 40.9806 - logits_profile_predictions_loss: 40.6153 - 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2s - loss: 41.0262 - logits_profile_predictions_loss: 40.6620 - logcount_predictions_loss: 0.3642 359/362 [============================>.] - ETA: 2s - loss: 41.0155 - logits_profile_predictions_loss: 40.6511 - logcount_predictions_loss: 0.3645 360/362 [============================>.] - ETA: 1s - loss: 41.0146 - logits_profile_predictions_loss: 40.6497 - logcount_predictions_loss: 0.3649 361/362 [============================>.] - ETA: 0s - loss: 41.0123 - logits_profile_predictions_loss: 40.6472 - logcount_predictions_loss: 0.3651 362/362 [==============================] - ETA: 0s - loss: 41.0185 - logits_profile_predictions_loss: 40.6532 - logcount_predictions_loss: 0.3653 Epoch 3: val_loss improved from 48.73388 to 48.31305, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.endocardial.In/fold_1/models/chrombpnet.h5  362/362 [==============================] - 288s 796ms/step - loss: 41.0185 - logits_profile_predictions_loss: 40.6532 - logcount_predictions_loss: 0.3653 - val_loss: 48.3130 - val_logits_profile_predictions_loss: 47.9705 - val_logcount_predictions_loss: 0.3426 Epoch 4/50 1/362 [..............................] - ETA: 4:20 - loss: 41.4519 - logits_profile_predictions_loss: 41.1346 - logcount_predictions_loss: 0.3173 2/362 [..............................] - ETA: 4:16 - loss: 41.5052 - logits_profile_predictions_loss: 41.1608 - logcount_predictions_loss: 0.3444 3/362 [..............................] - ETA: 4:16 - loss: 40.4628 - logits_profile_predictions_loss: 40.1039 - logcount_predictions_loss: 0.3589 4/362 [..............................] - ETA: 4:15 - loss: 39.8067 - logits_profile_predictions_loss: 39.4699 - logcount_predictions_loss: 0.3369 5/362 [..............................] - ETA: 4:14 - loss: 39.0534 - logits_profile_predictions_loss: 38.7199 - logcount_predictions_loss: 0.3336 6/362 [..............................] - ETA: 4:13 - loss: 40.6572 - 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[=====>........................] - ETA: 3:27 - loss: 40.3855 - logits_profile_predictions_loss: 40.0242 - logcount_predictions_loss: 0.3613 75/362 [=====>........................] - ETA: 3:27 - loss: 40.4169 - logits_profile_predictions_loss: 40.0552 - logcount_predictions_loss: 0.3617 76/362 [=====>........................] - ETA: 3:26 - loss: 40.4470 - logits_profile_predictions_loss: 40.0875 - logcount_predictions_loss: 0.3595 77/362 [=====>........................] - ETA: 3:25 - loss: 40.4507 - logits_profile_predictions_loss: 40.0915 - logcount_predictions_loss: 0.3592 78/362 [=====>........................] - ETA: 3:25 - loss: 40.4206 - logits_profile_predictions_loss: 40.0623 - logcount_predictions_loss: 0.3584 79/362 [=====>........................] - ETA: 3:24 - loss: 40.4199 - logits_profile_predictions_loss: 40.0615 - logcount_predictions_loss: 0.3584 80/362 [=====>........................] - ETA: 3:23 - loss: 40.4136 - logits_profile_predictions_loss: 40.0562 - 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[==============================] - ETA: 0s - loss: 40.7044 - logits_profile_predictions_loss: 40.3539 - logcount_predictions_loss: 0.3505 Epoch 4: val_loss improved from 48.31305 to 48.30683, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.endocardial.In/fold_1/models/chrombpnet.h5  362/362 [==============================] - 291s 805ms/step - loss: 40.7044 - logits_profile_predictions_loss: 40.3539 - logcount_predictions_loss: 0.3505 - val_loss: 48.3068 - val_logits_profile_predictions_loss: 47.8043 - val_logcount_predictions_loss: 0.5025 Epoch 5/50 1/362 [..............................] - ETA: 4:22 - loss: 46.4173 - logits_profile_predictions_loss: 45.9857 - logcount_predictions_loss: 0.4315 2/362 [..............................] - ETA: 4:16 - loss: 43.9190 - logits_profile_predictions_loss: 43.5210 - logcount_predictions_loss: 0.3981 3/362 [..............................] - ETA: 4:16 - loss: 42.6985 - 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[>.............................] - ETA: 4:06 - loss: 41.9236 - logits_profile_predictions_loss: 41.5583 - logcount_predictions_loss: 0.3653 18/362 [>.............................] - ETA: 4:05 - loss: 41.7629 - logits_profile_predictions_loss: 41.4008 - logcount_predictions_loss: 0.3621 19/362 [>.............................] - ETA: 4:05 - loss: 41.7378 - logits_profile_predictions_loss: 41.3763 - logcount_predictions_loss: 0.3615 20/362 [>.............................] - ETA: 4:04 - loss: 41.4192 - logits_profile_predictions_loss: 41.0648 - logcount_predictions_loss: 0.3544 21/362 [>.............................] - ETA: 4:03 - loss: 41.3709 - logits_profile_predictions_loss: 41.0234 - logcount_predictions_loss: 0.3475 22/362 [>.............................] - ETA: 4:03 - loss: 41.3599 - logits_profile_predictions_loss: 41.0184 - logcount_predictions_loss: 0.3415 23/362 [>.............................] - ETA: 4:02 - loss: 41.3040 - logits_profile_predictions_loss: 40.9622 - 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[==>...........................] - ETA: 3:48 - loss: 40.9073 - logits_profile_predictions_loss: 40.5706 - logcount_predictions_loss: 0.3367 45/362 [==>...........................] - ETA: 3:47 - loss: 40.8894 - logits_profile_predictions_loss: 40.5539 - logcount_predictions_loss: 0.3356 46/362 [==>...........................] - ETA: 3:47 - loss: 40.8070 - logits_profile_predictions_loss: 40.4712 - logcount_predictions_loss: 0.3357 47/362 [==>...........................] - ETA: 3:46 - loss: 40.8780 - logits_profile_predictions_loss: 40.5370 - logcount_predictions_loss: 0.3409 48/362 [==>...........................] - ETA: 3:45 - loss: 40.8777 - logits_profile_predictions_loss: 40.5364 - logcount_predictions_loss: 0.3413 49/362 [===>..........................] - ETA: 3:45 - loss: 40.8997 - logits_profile_predictions_loss: 40.5600 - logcount_predictions_loss: 0.3398 50/362 [===>..........................] - ETA: 3:44 - loss: 40.9000 - logits_profile_predictions_loss: 40.5589 - 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[====>.........................] - ETA: 3:30 - loss: 40.4384 - logits_profile_predictions_loss: 40.0923 - logcount_predictions_loss: 0.3461 72/362 [====>.........................] - ETA: 3:30 - loss: 40.4902 - logits_profile_predictions_loss: 40.1447 - logcount_predictions_loss: 0.3455 73/362 [=====>........................] - ETA: 3:29 - loss: 40.4934 - logits_profile_predictions_loss: 40.1477 - logcount_predictions_loss: 0.3457 74/362 [=====>........................] - ETA: 3:29 - loss: 40.6191 - logits_profile_predictions_loss: 40.2719 - logcount_predictions_loss: 0.3472 75/362 [=====>........................] - ETA: 3:28 - loss: 40.6483 - logits_profile_predictions_loss: 40.3021 - logcount_predictions_loss: 0.3462 76/362 [=====>........................] - ETA: 3:27 - loss: 40.6822 - logits_profile_predictions_loss: 40.3369 - logcount_predictions_loss: 0.3453 77/362 [=====>........................] - ETA: 3:27 - loss: 40.6122 - logits_profile_predictions_loss: 40.2679 - 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[======================>.......] - ETA: 1:02 - loss: 40.4782 - logits_profile_predictions_loss: 40.1369 - logcount_predictions_loss: 0.3414 279/362 [======================>.......] - ETA: 1:01 - loss: 40.4828 - logits_profile_predictions_loss: 40.1414 - logcount_predictions_loss: 0.3414 280/362 [======================>.......] - ETA: 1:00 - loss: 40.4781 - logits_profile_predictions_loss: 40.1367 - logcount_predictions_loss: 0.3414 281/362 [======================>.......] - ETA: 1:00 - loss: 40.4844 - logits_profile_predictions_loss: 40.1432 - logcount_predictions_loss: 0.3413 282/362 [======================>.......] - ETA: 59s - loss: 40.4763 - logits_profile_predictions_loss: 40.1351 - logcount_predictions_loss: 0.3412  283/362 [======================>.......] - ETA: 58s - loss: 40.4805 - logits_profile_predictions_loss: 40.1394 - logcount_predictions_loss: 0.3412 284/362 [======================>.......] - ETA: 57s - loss: 40.4873 - logits_profile_predictions_loss: 40.1465 - 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[========================>.....] - ETA: 42s - loss: 40.4743 - logits_profile_predictions_loss: 40.1335 - logcount_predictions_loss: 0.3408 306/362 [========================>.....] - ETA: 41s - loss: 40.4679 - logits_profile_predictions_loss: 40.1271 - logcount_predictions_loss: 0.3408 307/362 [========================>.....] - ETA: 40s - loss: 40.4715 - logits_profile_predictions_loss: 40.1307 - logcount_predictions_loss: 0.3408 308/362 [========================>.....] - ETA: 39s - loss: 40.4737 - logits_profile_predictions_loss: 40.1330 - logcount_predictions_loss: 0.3407 309/362 [========================>.....] - ETA: 39s - loss: 40.4912 - logits_profile_predictions_loss: 40.1507 - logcount_predictions_loss: 0.3405 310/362 [========================>.....] - ETA: 38s - loss: 40.5226 - logits_profile_predictions_loss: 40.1821 - logcount_predictions_loss: 0.3405 311/362 [========================>.....] - ETA: 37s - loss: 40.5085 - logits_profile_predictions_loss: 40.1682 - 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[==========================>...] - ETA: 22s - loss: 40.5022 - logits_profile_predictions_loss: 40.1617 - logcount_predictions_loss: 0.3404 333/362 [==========================>...] - ETA: 21s - loss: 40.5041 - logits_profile_predictions_loss: 40.1639 - logcount_predictions_loss: 0.3402 334/362 [==========================>...] - ETA: 20s - loss: 40.4987 - logits_profile_predictions_loss: 40.1585 - logcount_predictions_loss: 0.3402 335/362 [==========================>...] - ETA: 20s - loss: 40.4878 - logits_profile_predictions_loss: 40.1475 - logcount_predictions_loss: 0.3403 336/362 [==========================>...] - ETA: 19s - loss: 40.4818 - logits_profile_predictions_loss: 40.1419 - logcount_predictions_loss: 0.3400 337/362 [==========================>...] - ETA: 18s - loss: 40.4845 - logits_profile_predictions_loss: 40.1446 - logcount_predictions_loss: 0.3399 338/362 [===========================>..] - ETA: 17s - loss: 40.4894 - logits_profile_predictions_loss: 40.1499 - 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[============================>.] - ETA: 2s - loss: 40.4255 - logits_profile_predictions_loss: 40.0872 - logcount_predictions_loss: 0.3383 360/362 [============================>.] - ETA: 1s - loss: 40.4137 - logits_profile_predictions_loss: 40.0755 - logcount_predictions_loss: 0.3382 361/362 [============================>.] - ETA: 0s - loss: 40.4126 - logits_profile_predictions_loss: 40.0745 - logcount_predictions_loss: 0.3382 362/362 [==============================] - ETA: 0s - loss: 40.4152 - logits_profile_predictions_loss: 40.0772 - logcount_predictions_loss: 0.3381 Epoch 5: val_loss improved from 48.30683 to 48.01624, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.endocardial.In/fold_1/models/chrombpnet.h5  362/362 [==============================] - 289s 800ms/step - loss: 40.4152 - logits_profile_predictions_loss: 40.0772 - logcount_predictions_loss: 0.3381 - val_loss: 48.0162 - val_logits_profile_predictions_loss: 47.6506 - val_logcount_predictions_loss: 0.3656 Epoch 6/50 1/362 [..............................] - ETA: 4:23 - loss: 33.0716 - logits_profile_predictions_loss: 32.7848 - logcount_predictions_loss: 0.2868 2/362 [..............................] - ETA: 4:16 - loss: 38.3892 - logits_profile_predictions_loss: 38.0569 - logcount_predictions_loss: 0.3323 3/362 [..............................] - ETA: 4:16 - loss: 40.3801 - logits_profile_predictions_loss: 40.0771 - logcount_predictions_loss: 0.3030 4/362 [..............................] - ETA: 4:15 - loss: 40.7305 - logits_profile_predictions_loss: 40.4512 - logcount_predictions_loss: 0.2793 5/362 [..............................] - ETA: 4:15 - loss: 39.3650 - logits_profile_predictions_loss: 39.0693 - logcount_predictions_loss: 0.2958 6/362 [..............................] - ETA: 4:14 - loss: 38.3687 - logits_profile_predictions_loss: 38.0608 - logcount_predictions_loss: 0.3079 7/362 [..............................] - ETA: 4:13 - loss: 38.8115 - logits_profile_predictions_loss: 38.5044 - logcount_predictions_loss: 0.3071 8/362 [..............................] - ETA: 4:14 - loss: 38.5621 - logits_profile_predictions_loss: 38.2471 - logcount_predictions_loss: 0.3149 9/362 [..............................] - ETA: 4:13 - loss: 38.9464 - logits_profile_predictions_loss: 38.6377 - logcount_predictions_loss: 0.3087 10/362 [..............................] - ETA: 4:12 - loss: 38.8610 - logits_profile_predictions_loss: 38.5564 - logcount_predictions_loss: 0.3046 11/362 [..............................] - ETA: 4:11 - loss: 39.0981 - logits_profile_predictions_loss: 38.7911 - logcount_predictions_loss: 0.3070 12/362 [..............................] - ETA: 4:10 - loss: 39.5677 - logits_profile_predictions_loss: 39.2653 - logcount_predictions_loss: 0.3024 13/362 [>.............................] - ETA: 4:10 - loss: 39.4673 - logits_profile_predictions_loss: 39.1676 - logcount_predictions_loss: 0.2996 14/362 [>.............................] - ETA: 4:09 - loss: 39.5906 - logits_profile_predictions_loss: 39.2895 - logcount_predictions_loss: 0.3011 15/362 [>.............................] - ETA: 4:08 - loss: 39.5253 - logits_profile_predictions_loss: 39.2265 - logcount_predictions_loss: 0.2988 16/362 [>.............................] - ETA: 4:07 - loss: 39.4617 - logits_profile_predictions_loss: 39.1646 - logcount_predictions_loss: 0.2971 17/362 [>.............................] - ETA: 4:07 - loss: 39.5516 - logits_profile_predictions_loss: 39.2583 - logcount_predictions_loss: 0.2933 18/362 [>.............................] - ETA: 4:06 - loss: 39.7572 - logits_profile_predictions_loss: 39.4658 - logcount_predictions_loss: 0.2914 19/362 [>.............................] - ETA: 4:05 - loss: 39.5526 - logits_profile_predictions_loss: 39.2665 - logcount_predictions_loss: 0.2861 20/362 [>.............................] - ETA: 4:05 - loss: 39.8702 - logits_profile_predictions_loss: 39.5800 - logcount_predictions_loss: 0.2902 21/362 [>.............................] - ETA: 4:04 - loss: 39.9193 - logits_profile_predictions_loss: 39.6248 - logcount_predictions_loss: 0.2945 22/362 [>.............................] - ETA: 4:04 - loss: 39.9669 - logits_profile_predictions_loss: 39.6730 - logcount_predictions_loss: 0.2939 23/362 [>.............................] - ETA: 4:03 - loss: 39.9564 - logits_profile_predictions_loss: 39.6613 - logcount_predictions_loss: 0.2951 24/362 [>.............................] - ETA: 4:02 - loss: 40.1102 - logits_profile_predictions_loss: 39.8169 - logcount_predictions_loss: 0.2933 25/362 [=>............................] - ETA: 4:01 - loss: 40.3756 - logits_profile_predictions_loss: 40.0823 - logcount_predictions_loss: 0.2933 26/362 [=>............................] - ETA: 4:01 - loss: 40.2857 - logits_profile_predictions_loss: 39.9918 - logcount_predictions_loss: 0.2939 27/362 [=>............................] - ETA: 4:00 - loss: 40.3817 - logits_profile_predictions_loss: 40.0863 - logcount_predictions_loss: 0.2954 28/362 [=>............................] - ETA: 3:59 - loss: 40.5117 - logits_profile_predictions_loss: 40.2164 - logcount_predictions_loss: 0.2953 29/362 [=>............................] - ETA: 3:59 - loss: 40.6740 - logits_profile_predictions_loss: 40.3813 - logcount_predictions_loss: 0.2927 30/362 [=>............................] - ETA: 3:58 - loss: 40.6445 - logits_profile_predictions_loss: 40.3541 - logcount_predictions_loss: 0.2905 31/362 [=>............................] - ETA: 3:57 - loss: 40.6035 - logits_profile_predictions_loss: 40.3124 - logcount_predictions_loss: 0.2911 32/362 [=>............................] - ETA: 3:56 - loss: 40.7097 - logits_profile_predictions_loss: 40.4191 - logcount_predictions_loss: 0.2906 33/362 [=>............................] - ETA: 3:56 - loss: 40.6940 - logits_profile_predictions_loss: 40.4028 - logcount_predictions_loss: 0.2913 34/362 [=>............................] - ETA: 3:55 - loss: 40.7228 - logits_profile_predictions_loss: 40.4312 - logcount_predictions_loss: 0.2916 35/362 [=>............................] - ETA: 3:54 - loss: 40.6030 - logits_profile_predictions_loss: 40.3115 - logcount_predictions_loss: 0.2915 36/362 [=>............................] - ETA: 3:54 - loss: 40.4229 - logits_profile_predictions_loss: 40.1314 - logcount_predictions_loss: 0.2915 37/362 [==>...........................] - ETA: 3:53 - loss: 40.3501 - logits_profile_predictions_loss: 40.0596 - logcount_predictions_loss: 0.2905 38/362 [==>...........................] - ETA: 3:52 - loss: 40.2525 - logits_profile_predictions_loss: 39.9622 - logcount_predictions_loss: 0.2903 39/362 [==>...........................] - ETA: 3:51 - loss: 40.0608 - logits_profile_predictions_loss: 39.7719 - logcount_predictions_loss: 0.2889 40/362 [==>...........................] - ETA: 3:51 - loss: 40.1383 - logits_profile_predictions_loss: 39.8486 - logcount_predictions_loss: 0.2897 41/362 [==>...........................] - ETA: 3:50 - loss: 40.1069 - logits_profile_predictions_loss: 39.8173 - logcount_predictions_loss: 0.2896 42/362 [==>...........................] - ETA: 3:49 - loss: 40.1756 - logits_profile_predictions_loss: 39.8843 - logcount_predictions_loss: 0.2913 43/362 [==>...........................] - ETA: 3:49 - loss: 40.3486 - logits_profile_predictions_loss: 40.0560 - logcount_predictions_loss: 0.2926 44/362 [==>...........................] - ETA: 3:48 - loss: 40.4321 - logits_profile_predictions_loss: 40.1389 - logcount_predictions_loss: 0.2932 45/362 [==>...........................] - ETA: 3:48 - loss: 40.3628 - logits_profile_predictions_loss: 40.0712 - logcount_predictions_loss: 0.2916 46/362 [==>...........................] - ETA: 3:47 - loss: 40.4209 - logits_profile_predictions_loss: 40.1278 - logcount_predictions_loss: 0.2931 47/362 [==>...........................] - ETA: 3:46 - loss: 40.4093 - logits_profile_predictions_loss: 40.1153 - logcount_predictions_loss: 0.2940 48/362 [==>...........................] - ETA: 3:46 - loss: 40.5281 - logits_profile_predictions_loss: 40.2331 - logcount_predictions_loss: 0.2950 49/362 [===>..........................] - ETA: 3:45 - loss: 40.4301 - logits_profile_predictions_loss: 40.1361 - logcount_predictions_loss: 0.2940 50/362 [===>..........................] - ETA: 3:44 - loss: 40.4479 - logits_profile_predictions_loss: 40.1533 - logcount_predictions_loss: 0.2946 51/362 [===>..........................] - ETA: 3:43 - loss: 40.4179 - logits_profile_predictions_loss: 40.1204 - logcount_predictions_loss: 0.2975 52/362 [===>..........................] - ETA: 3:43 - loss: 40.3824 - logits_profile_predictions_loss: 40.0854 - logcount_predictions_loss: 0.2971 53/362 [===>..........................] - ETA: 3:42 - loss: 40.3290 - logits_profile_predictions_loss: 40.0318 - logcount_predictions_loss: 0.2972 54/362 [===>..........................] - ETA: 3:42 - loss: 40.3275 - logits_profile_predictions_loss: 40.0313 - logcount_predictions_loss: 0.2962 55/362 [===>..........................] - ETA: 3:41 - loss: 40.4730 - logits_profile_predictions_loss: 40.1779 - logcount_predictions_loss: 0.2951 56/362 [===>..........................] - ETA: 3:40 - loss: 40.3724 - logits_profile_predictions_loss: 40.0761 - logcount_predictions_loss: 0.2964 57/362 [===>..........................] - ETA: 3:40 - loss: 40.4105 - logits_profile_predictions_loss: 40.1137 - logcount_predictions_loss: 0.2968 58/362 [===>..........................] - ETA: 3:39 - loss: 40.4146 - logits_profile_predictions_loss: 40.1181 - logcount_predictions_loss: 0.2965 59/362 [===>..........................] - ETA: 3:38 - loss: 40.4157 - logits_profile_predictions_loss: 40.1193 - logcount_predictions_loss: 0.2964 60/362 [===>..........................] - ETA: 3:38 - loss: 40.3687 - logits_profile_predictions_loss: 40.0718 - logcount_predictions_loss: 0.2969 61/362 [====>.........................] - ETA: 3:37 - loss: 40.4783 - logits_profile_predictions_loss: 40.1785 - logcount_predictions_loss: 0.2998 62/362 [====>.........................] - ETA: 3:36 - loss: 40.4392 - logits_profile_predictions_loss: 40.1397 - logcount_predictions_loss: 0.2995 63/362 [====>.........................] - ETA: 3:36 - loss: 40.4992 - logits_profile_predictions_loss: 40.1979 - logcount_predictions_loss: 0.3013 64/362 [====>.........................] - ETA: 3:35 - loss: 40.5160 - logits_profile_predictions_loss: 40.2141 - logcount_predictions_loss: 0.3018 65/362 [====>.........................] - ETA: 3:34 - loss: 40.5708 - logits_profile_predictions_loss: 40.2684 - logcount_predictions_loss: 0.3024 66/362 [====>.........................] - ETA: 3:33 - loss: 40.5957 - logits_profile_predictions_loss: 40.2929 - logcount_predictions_loss: 0.3027 67/362 [====>.........................] - ETA: 3:33 - loss: 40.5702 - logits_profile_predictions_loss: 40.2671 - logcount_predictions_loss: 0.3031 68/362 [====>.........................] - ETA: 3:32 - loss: 40.5765 - logits_profile_predictions_loss: 40.2737 - logcount_predictions_loss: 0.3028 69/362 [====>.........................] - ETA: 3:32 - loss: 40.5481 - logits_profile_predictions_loss: 40.2459 - logcount_predictions_loss: 0.3022 70/362 [====>.........................] - ETA: 3:31 - loss: 40.6077 - logits_profile_predictions_loss: 40.3043 - logcount_predictions_loss: 0.3034 71/362 [====>.........................] - ETA: 3:30 - loss: 40.5306 - logits_profile_predictions_loss: 40.2276 - logcount_predictions_loss: 0.3030 72/362 [====>.........................] - ETA: 3:30 - loss: 40.4461 - logits_profile_predictions_loss: 40.1431 - logcount_predictions_loss: 0.3030 73/362 [=====>........................] - ETA: 3:29 - loss: 40.4435 - logits_profile_predictions_loss: 40.1397 - logcount_predictions_loss: 0.3039 74/362 [=====>........................] - ETA: 3:28 - loss: 40.4304 - logits_profile_predictions_loss: 40.1264 - logcount_predictions_loss: 0.3041 75/362 [=====>........................] - ETA: 3:28 - loss: 40.3775 - logits_profile_predictions_loss: 40.0714 - logcount_predictions_loss: 0.3062 76/362 [=====>........................] - ETA: 3:27 - loss: 40.3802 - logits_profile_predictions_loss: 40.0741 - logcount_predictions_loss: 0.3062 77/362 [=====>........................] - ETA: 3:26 - loss: 40.3566 - logits_profile_predictions_loss: 40.0496 - logcount_predictions_loss: 0.3070 78/362 [=====>........................] - ETA: 3:25 - loss: 40.3117 - logits_profile_predictions_loss: 40.0041 - logcount_predictions_loss: 0.3076 79/362 [=====>........................] - ETA: 3:25 - loss: 40.3576 - logits_profile_predictions_loss: 40.0499 - logcount_predictions_loss: 0.3076 80/362 [=====>........................] - ETA: 3:24 - loss: 40.2476 - logits_profile_predictions_loss: 39.9402 - logcount_predictions_loss: 0.3074 81/362 [=====>........................] - ETA: 3:23 - loss: 40.2799 - logits_profile_predictions_loss: 39.9721 - logcount_predictions_loss: 0.3078 82/362 [=====>........................] - ETA: 3:23 - loss: 40.2526 - logits_profile_predictions_loss: 39.9448 - logcount_predictions_loss: 0.3077 83/362 [=====>........................] - ETA: 3:22 - loss: 40.2333 - logits_profile_predictions_loss: 39.9256 - logcount_predictions_loss: 0.3077 84/362 [=====>........................] - ETA: 3:21 - loss: 40.2117 - logits_profile_predictions_loss: 39.9043 - logcount_predictions_loss: 0.3074 85/362 [======>.......................] - ETA: 3:20 - loss: 40.1493 - logits_profile_predictions_loss: 39.8431 - logcount_predictions_loss: 0.3062 86/362 [======>.......................] - ETA: 3:20 - loss: 40.1617 - logits_profile_predictions_loss: 39.8556 - logcount_predictions_loss: 0.3060 87/362 [======>.......................] - ETA: 3:19 - loss: 40.1471 - logits_profile_predictions_loss: 39.8409 - logcount_predictions_loss: 0.3062 88/362 [======>.......................] - ETA: 3:18 - loss: 40.1447 - logits_profile_predictions_loss: 39.8389 - logcount_predictions_loss: 0.3058 89/362 [======>.......................] - ETA: 3:18 - loss: 40.1899 - logits_profile_predictions_loss: 39.8848 - logcount_predictions_loss: 0.3051 90/362 [======>.......................] - ETA: 3:17 - loss: 40.1607 - logits_profile_predictions_loss: 39.8551 - logcount_predictions_loss: 0.3056 91/362 [======>.......................] - ETA: 3:16 - loss: 40.1473 - logits_profile_predictions_loss: 39.8411 - logcount_predictions_loss: 0.3062 92/362 [======>.......................] - ETA: 3:16 - loss: 40.2238 - logits_profile_predictions_loss: 39.9188 - logcount_predictions_loss: 0.3050 93/362 [======>.......................] - ETA: 3:15 - loss: 40.3107 - logits_profile_predictions_loss: 40.0055 - logcount_predictions_loss: 0.3053 94/362 [======>.......................] - ETA: 3:14 - loss: 40.3333 - logits_profile_predictions_loss: 40.0289 - logcount_predictions_loss: 0.3044 95/362 [======>.......................] - ETA: 3:14 - loss: 40.3443 - logits_profile_predictions_loss: 40.0400 - logcount_predictions_loss: 0.3043 96/362 [======>.......................] - ETA: 3:13 - loss: 40.3504 - logits_profile_predictions_loss: 40.0439 - logcount_predictions_loss: 0.3066 97/362 [=======>......................] - ETA: 3:12 - loss: 40.4154 - logits_profile_predictions_loss: 40.1097 - logcount_predictions_loss: 0.3056 98/362 [=======>......................] - ETA: 3:11 - loss: 40.4348 - logits_profile_predictions_loss: 40.1282 - logcount_predictions_loss: 0.3066 99/362 [=======>......................] - ETA: 3:11 - loss: 40.4660 - logits_profile_predictions_loss: 40.1586 - logcount_predictions_loss: 0.3074 100/362 [=======>......................] - ETA: 3:10 - loss: 40.4806 - logits_profile_predictions_loss: 40.1725 - logcount_predictions_loss: 0.3081 101/362 [=======>......................] - ETA: 3:09 - loss: 40.4826 - logits_profile_predictions_loss: 40.1750 - logcount_predictions_loss: 0.3076 102/362 [=======>......................] - ETA: 3:09 - loss: 40.5259 - logits_profile_predictions_loss: 40.2187 - logcount_predictions_loss: 0.3073 103/362 [=======>......................] - ETA: 3:08 - loss: 40.5386 - logits_profile_predictions_loss: 40.2316 - logcount_predictions_loss: 0.3070 104/362 [=======>......................] - ETA: 3:07 - loss: 40.4645 - logits_profile_predictions_loss: 40.1563 - logcount_predictions_loss: 0.3082 105/362 [=======>......................] - ETA: 3:07 - loss: 40.4257 - logits_profile_predictions_loss: 40.1178 - logcount_predictions_loss: 0.3079 106/362 [=======>......................] - ETA: 3:06 - loss: 40.4412 - logits_profile_predictions_loss: 40.1327 - logcount_predictions_loss: 0.3085 107/362 [=======>......................] - ETA: 3:05 - loss: 40.3995 - logits_profile_predictions_loss: 40.0918 - logcount_predictions_loss: 0.3077 108/362 [=======>......................] - ETA: 3:05 - loss: 40.4128 - logits_profile_predictions_loss: 40.1053 - logcount_predictions_loss: 0.3075 109/362 [========>.....................] - ETA: 3:04 - loss: 40.4372 - logits_profile_predictions_loss: 40.1285 - logcount_predictions_loss: 0.3087 110/362 [========>.....................] - ETA: 3:03 - loss: 40.4285 - logits_profile_predictions_loss: 40.1199 - logcount_predictions_loss: 0.3087 111/362 [========>.....................] - ETA: 3:02 - loss: 40.3877 - logits_profile_predictions_loss: 40.0800 - logcount_predictions_loss: 0.3077 112/362 [========>.....................] - ETA: 3:02 - loss: 40.4225 - logits_profile_predictions_loss: 40.1154 - logcount_predictions_loss: 0.3071 113/362 [========>.....................] - ETA: 3:01 - loss: 40.4131 - logits_profile_predictions_loss: 40.1071 - logcount_predictions_loss: 0.3060 114/362 [========>.....................] - ETA: 3:00 - loss: 40.4280 - logits_profile_predictions_loss: 40.1221 - logcount_predictions_loss: 0.3059 115/362 [========>.....................] - ETA: 3:00 - loss: 40.3758 - logits_profile_predictions_loss: 40.0698 - logcount_predictions_loss: 0.3060 116/362 [========>.....................] - ETA: 2:59 - loss: 40.3808 - logits_profile_predictions_loss: 40.0748 - logcount_predictions_loss: 0.3060 117/362 [========>.....................] - ETA: 2:58 - loss: 40.3847 - logits_profile_predictions_loss: 40.0785 - logcount_predictions_loss: 0.3062 118/362 [========>.....................] - ETA: 2:57 - loss: 40.3500 - logits_profile_predictions_loss: 40.0442 - logcount_predictions_loss: 0.3058 119/362 [========>.....................] - ETA: 2:57 - loss: 40.3741 - logits_profile_predictions_loss: 40.0674 - logcount_predictions_loss: 0.3067 120/362 [========>.....................] - ETA: 2:56 - loss: 40.3545 - logits_profile_predictions_loss: 40.0471 - logcount_predictions_loss: 0.3074 121/362 [=========>....................] - ETA: 2:55 - loss: 40.3528 - logits_profile_predictions_loss: 40.0449 - logcount_predictions_loss: 0.3079 122/362 [=========>....................] - ETA: 2:55 - loss: 40.3526 - logits_profile_predictions_loss: 40.0451 - logcount_predictions_loss: 0.3075 123/362 [=========>....................] - ETA: 2:54 - loss: 40.3844 - logits_profile_predictions_loss: 40.0766 - logcount_predictions_loss: 0.3078 124/362 [=========>....................] - ETA: 2:53 - loss: 40.3233 - logits_profile_predictions_loss: 40.0142 - logcount_predictions_loss: 0.3091 125/362 [=========>....................] - ETA: 2:52 - loss: 40.3078 - logits_profile_predictions_loss: 39.9992 - logcount_predictions_loss: 0.3087 126/362 [=========>....................] - ETA: 2:52 - loss: 40.2866 - logits_profile_predictions_loss: 39.9778 - logcount_predictions_loss: 0.3088 127/362 [=========>....................] - ETA: 2:51 - loss: 40.2912 - logits_profile_predictions_loss: 39.9819 - logcount_predictions_loss: 0.3094 128/362 [=========>....................] - ETA: 2:50 - loss: 40.2988 - logits_profile_predictions_loss: 39.9881 - logcount_predictions_loss: 0.3107 129/362 [=========>....................] - ETA: 2:50 - loss: 40.3021 - logits_profile_predictions_loss: 39.9910 - logcount_predictions_loss: 0.3111 130/362 [=========>....................] - ETA: 2:49 - loss: 40.3133 - logits_profile_predictions_loss: 40.0025 - logcount_predictions_loss: 0.3108 131/362 [=========>....................] - ETA: 2:48 - loss: 40.3515 - logits_profile_predictions_loss: 40.0407 - logcount_predictions_loss: 0.3108 132/362 [=========>....................] - ETA: 2:48 - loss: 40.3196 - logits_profile_predictions_loss: 40.0073 - logcount_predictions_loss: 0.3124 133/362 [==========>...................] - ETA: 2:47 - loss: 40.3396 - logits_profile_predictions_loss: 40.0259 - logcount_predictions_loss: 0.3138 134/362 [==========>...................] - ETA: 2:46 - loss: 40.3375 - logits_profile_predictions_loss: 40.0239 - logcount_predictions_loss: 0.3136 135/362 [==========>...................] - ETA: 2:45 - loss: 40.3310 - logits_profile_predictions_loss: 40.0174 - logcount_predictions_loss: 0.3136 136/362 [==========>...................] - ETA: 2:45 - loss: 40.3255 - logits_profile_predictions_loss: 40.0107 - logcount_predictions_loss: 0.3147 137/362 [==========>...................] - ETA: 2:44 - loss: 40.3739 - logits_profile_predictions_loss: 40.0575 - logcount_predictions_loss: 0.3165 138/362 [==========>...................] - ETA: 2:43 - loss: 40.3941 - logits_profile_predictions_loss: 40.0766 - logcount_predictions_loss: 0.3176 139/362 [==========>...................] - ETA: 2:42 - loss: 40.4344 - logits_profile_predictions_loss: 40.1164 - logcount_predictions_loss: 0.3180 140/362 [==========>...................] - ETA: 2:42 - loss: 40.4073 - logits_profile_predictions_loss: 40.0892 - logcount_predictions_loss: 0.3181 141/362 [==========>...................] - ETA: 2:41 - loss: 40.3859 - 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logits_profile_predictions_loss: 39.8419 - logcount_predictions_loss: 0.3198 309/362 [========================>.....] - ETA: 39s - loss: 40.1718 - logits_profile_predictions_loss: 39.8520 - logcount_predictions_loss: 0.3198 310/362 [========================>.....] - ETA: 38s - loss: 40.1610 - logits_profile_predictions_loss: 39.8415 - logcount_predictions_loss: 0.3195 311/362 [========================>.....] - ETA: 37s - loss: 40.1712 - logits_profile_predictions_loss: 39.8518 - logcount_predictions_loss: 0.3194 312/362 [========================>.....] - ETA: 36s - loss: 40.1664 - logits_profile_predictions_loss: 39.8472 - logcount_predictions_loss: 0.3191 313/362 [========================>.....] - ETA: 36s - loss: 40.1682 - logits_profile_predictions_loss: 39.8489 - logcount_predictions_loss: 0.3192 314/362 [=========================>....] - ETA: 35s - loss: 40.1647 - logits_profile_predictions_loss: 39.8455 - logcount_predictions_loss: 0.3192 315/362 [=========================>....] - ETA: 34s - loss: 40.1452 - logits_profile_predictions_loss: 39.8253 - logcount_predictions_loss: 0.3198 316/362 [=========================>....] - ETA: 33s - loss: 40.1565 - logits_profile_predictions_loss: 39.8367 - logcount_predictions_loss: 0.3199 317/362 [=========================>....] - ETA: 33s - loss: 40.1517 - logits_profile_predictions_loss: 39.8318 - logcount_predictions_loss: 0.3199 318/362 [=========================>....] - ETA: 32s - loss: 40.1400 - logits_profile_predictions_loss: 39.8204 - logcount_predictions_loss: 0.3196 319/362 [=========================>....] - ETA: 31s - loss: 40.1461 - logits_profile_predictions_loss: 39.8267 - logcount_predictions_loss: 0.3193 320/362 [=========================>....] - ETA: 30s - loss: 40.1670 - logits_profile_predictions_loss: 39.8475 - logcount_predictions_loss: 0.3195 321/362 [=========================>....] - ETA: 30s - loss: 40.1782 - logits_profile_predictions_loss: 39.8588 - logcount_predictions_loss: 0.3194 322/362 [=========================>....] - ETA: 29s - loss: 40.1630 - logits_profile_predictions_loss: 39.8437 - logcount_predictions_loss: 0.3193 323/362 [=========================>....] - ETA: 28s - loss: 40.1793 - logits_profile_predictions_loss: 39.8602 - logcount_predictions_loss: 0.3190 324/362 [=========================>....] - ETA: 28s - loss: 40.1992 - logits_profile_predictions_loss: 39.8800 - logcount_predictions_loss: 0.3191 325/362 [=========================>....] - ETA: 27s - loss: 40.2131 - logits_profile_predictions_loss: 39.8940 - logcount_predictions_loss: 0.3191 326/362 [==========================>...] - ETA: 26s - loss: 40.2075 - logits_profile_predictions_loss: 39.8882 - logcount_predictions_loss: 0.3193 327/362 [==========================>...] - ETA: 25s - loss: 40.2098 - logits_profile_predictions_loss: 39.8907 - logcount_predictions_loss: 0.3191 328/362 [==========================>...] - ETA: 25s - loss: 40.2081 - logits_profile_predictions_loss: 39.8889 - logcount_predictions_loss: 0.3191 329/362 [==========================>...] - ETA: 24s - loss: 40.1857 - logits_profile_predictions_loss: 39.8665 - logcount_predictions_loss: 0.3192 330/362 [==========================>...] - ETA: 23s - loss: 40.1699 - logits_profile_predictions_loss: 39.8506 - logcount_predictions_loss: 0.3193 331/362 [==========================>...] - ETA: 22s - loss: 40.1664 - logits_profile_predictions_loss: 39.8472 - logcount_predictions_loss: 0.3191 332/362 [==========================>...] - ETA: 22s - loss: 40.1872 - logits_profile_predictions_loss: 39.8679 - logcount_predictions_loss: 0.3192 333/362 [==========================>...] - ETA: 21s - loss: 40.1864 - logits_profile_predictions_loss: 39.8674 - logcount_predictions_loss: 0.3191 334/362 [==========================>...] - ETA: 20s - loss: 40.1687 - logits_profile_predictions_loss: 39.8498 - logcount_predictions_loss: 0.3189 335/362 [==========================>...] - ETA: 19s - loss: 40.1802 - logits_profile_predictions_loss: 39.8615 - logcount_predictions_loss: 0.3187 336/362 [==========================>...] - ETA: 19s - loss: 40.1752 - logits_profile_predictions_loss: 39.8567 - logcount_predictions_loss: 0.3185 337/362 [==========================>...] - ETA: 18s - loss: 40.1626 - logits_profile_predictions_loss: 39.8442 - logcount_predictions_loss: 0.3184 338/362 [===========================>..] - ETA: 17s - loss: 40.1593 - logits_profile_predictions_loss: 39.8407 - logcount_predictions_loss: 0.3186 339/362 [===========================>..] - ETA: 16s - loss: 40.1588 - logits_profile_predictions_loss: 39.8400 - logcount_predictions_loss: 0.3188 340/362 [===========================>..] - ETA: 16s - loss: 40.1483 - logits_profile_predictions_loss: 39.8297 - logcount_predictions_loss: 0.3186 341/362 [===========================>..] - ETA: 15s - loss: 40.1673 - logits_profile_predictions_loss: 39.8486 - logcount_predictions_loss: 0.3187 342/362 [===========================>..] - ETA: 14s - loss: 40.1642 - logits_profile_predictions_loss: 39.8457 - logcount_predictions_loss: 0.3185 343/362 [===========================>..] - ETA: 14s - loss: 40.1700 - logits_profile_predictions_loss: 39.8516 - logcount_predictions_loss: 0.3184 344/362 [===========================>..] - ETA: 13s - loss: 40.1762 - logits_profile_predictions_loss: 39.8578 - logcount_predictions_loss: 0.3184 345/362 [===========================>..] - ETA: 12s - loss: 40.1748 - logits_profile_predictions_loss: 39.8564 - logcount_predictions_loss: 0.3183 346/362 [===========================>..] - ETA: 11s - loss: 40.1664 - logits_profile_predictions_loss: 39.8482 - logcount_predictions_loss: 0.3182 347/362 [===========================>..] - ETA: 11s - loss: 40.1641 - logits_profile_predictions_loss: 39.8459 - logcount_predictions_loss: 0.3182 348/362 [===========================>..] - ETA: 10s - loss: 40.1764 - logits_profile_predictions_loss: 39.8579 - logcount_predictions_loss: 0.3185 349/362 [===========================>..] - ETA: 9s - loss: 40.1866 - logits_profile_predictions_loss: 39.8681 - logcount_predictions_loss: 0.3185  350/362 [============================>.] - ETA: 8s - loss: 40.1871 - logits_profile_predictions_loss: 39.8687 - logcount_predictions_loss: 0.3184 351/362 [============================>.] - ETA: 8s - loss: 40.1862 - logits_profile_predictions_loss: 39.8680 - logcount_predictions_loss: 0.3183 352/362 [============================>.] - ETA: 7s - loss: 40.1863 - logits_profile_predictions_loss: 39.8684 - logcount_predictions_loss: 0.3179 353/362 [============================>.] - ETA: 6s - loss: 40.1927 - logits_profile_predictions_loss: 39.8745 - logcount_predictions_loss: 0.3182 354/362 [============================>.] - ETA: 5s - loss: 40.2012 - logits_profile_predictions_loss: 39.8831 - logcount_predictions_loss: 0.3181 355/362 [============================>.] - ETA: 5s - loss: 40.1916 - logits_profile_predictions_loss: 39.8737 - logcount_predictions_loss: 0.3179 356/362 [============================>.] - ETA: 4s - loss: 40.2215 - logits_profile_predictions_loss: 39.9032 - logcount_predictions_loss: 0.3183 357/362 [============================>.] - ETA: 3s - loss: 40.2176 - logits_profile_predictions_loss: 39.8993 - logcount_predictions_loss: 0.3184 358/362 [============================>.] - ETA: 2s - loss: 40.1992 - logits_profile_predictions_loss: 39.8807 - logcount_predictions_loss: 0.3185 359/362 [============================>.] - ETA: 2s - loss: 40.2098 - logits_profile_predictions_loss: 39.8915 - logcount_predictions_loss: 0.3183 360/362 [============================>.] - ETA: 1s - loss: 40.2172 - logits_profile_predictions_loss: 39.8992 - logcount_predictions_loss: 0.3180 361/362 [============================>.] - ETA: 0s - loss: 40.2225 - logits_profile_predictions_loss: 39.9045 - logcount_predictions_loss: 0.3180 362/362 [==============================] - ETA: 0s - loss: 40.2227 - logits_profile_predictions_loss: 39.9047 - logcount_predictions_loss: 0.3179 Epoch 6: val_loss did not improve from 48.01624  362/362 [==============================] - 288s 796ms/step - loss: 40.2227 - logits_profile_predictions_loss: 39.9047 - logcount_predictions_loss: 0.3179 - val_loss: 48.0804 - val_logits_profile_predictions_loss: 47.7509 - val_logcount_predictions_loss: 0.3295 Epoch 7/50 1/362 [..............................] - ETA: 4:20 - loss: 47.0597 - logits_profile_predictions_loss: 46.7199 - logcount_predictions_loss: 0.3398 2/362 [..............................] - ETA: 4:16 - loss: 44.9118 - logits_profile_predictions_loss: 44.5920 - logcount_predictions_loss: 0.3198 3/362 [..............................] - ETA: 4:16 - loss: 43.0618 - logits_profile_predictions_loss: 42.7639 - logcount_predictions_loss: 0.2979 4/362 [..............................] - ETA: 4:16 - loss: 43.5543 - logits_profile_predictions_loss: 43.2489 - logcount_predictions_loss: 0.3054 5/362 [..............................] - ETA: 4:15 - loss: 42.6813 - logits_profile_predictions_loss: 42.3767 - logcount_predictions_loss: 0.3046 6/362 [..............................] - ETA: 4:14 - loss: 41.4922 - logits_profile_predictions_loss: 41.1966 - logcount_predictions_loss: 0.2956 7/362 [..............................] - ETA: 4:13 - loss: 41.1145 - logits_profile_predictions_loss: 40.8204 - logcount_predictions_loss: 0.2941 8/362 [..............................] - ETA: 4:12 - loss: 41.7914 - logits_profile_predictions_loss: 41.4863 - logcount_predictions_loss: 0.3051 9/362 [..............................] - ETA: 4:12 - loss: 41.4763 - logits_profile_predictions_loss: 41.1751 - logcount_predictions_loss: 0.3013 10/362 [..............................] - ETA: 4:11 - loss: 41.1651 - logits_profile_predictions_loss: 40.8587 - logcount_predictions_loss: 0.3063 11/362 [..............................] - ETA: 4:10 - loss: 41.2800 - logits_profile_predictions_loss: 40.9712 - logcount_predictions_loss: 0.3088 12/362 [..............................] - ETA: 4:10 - loss: 40.9998 - logits_profile_predictions_loss: 40.6907 - logcount_predictions_loss: 0.3092 13/362 [>.............................] - ETA: 4:09 - loss: 40.6341 - logits_profile_predictions_loss: 40.3254 - logcount_predictions_loss: 0.3087 14/362 [>.............................] - ETA: 4:08 - loss: 40.5799 - logits_profile_predictions_loss: 40.2741 - logcount_predictions_loss: 0.3058 15/362 [>.............................] - ETA: 4:08 - loss: 40.5782 - logits_profile_predictions_loss: 40.2741 - logcount_predictions_loss: 0.3041 16/362 [>.............................] - ETA: 4:07 - loss: 40.4807 - logits_profile_predictions_loss: 40.1769 - logcount_predictions_loss: 0.3038 17/362 [>.............................] - ETA: 4:06 - loss: 40.2176 - logits_profile_predictions_loss: 39.9106 - logcount_predictions_loss: 0.3070 18/362 [>.............................] - ETA: 4:05 - loss: 40.0274 - logits_profile_predictions_loss: 39.7218 - logcount_predictions_loss: 0.3056 19/362 [>.............................] - ETA: 4:05 - loss: 39.9083 - logits_profile_predictions_loss: 39.6008 - logcount_predictions_loss: 0.3075 20/362 [>.............................] - ETA: 4:04 - loss: 40.0615 - logits_profile_predictions_loss: 39.7588 - logcount_predictions_loss: 0.3026 21/362 [>.............................] - ETA: 4:03 - loss: 40.2197 - logits_profile_predictions_loss: 39.9203 - logcount_predictions_loss: 0.2994 22/362 [>.............................] - ETA: 4:03 - loss: 40.1636 - logits_profile_predictions_loss: 39.8667 - logcount_predictions_loss: 0.2969 23/362 [>.............................] - ETA: 4:02 - loss: 40.1905 - logits_profile_predictions_loss: 39.8946 - logcount_predictions_loss: 0.2959 24/362 [>.............................] - ETA: 4:01 - loss: 40.0462 - logits_profile_predictions_loss: 39.7508 - logcount_predictions_loss: 0.2954 25/362 [=>............................] - ETA: 4:01 - loss: 39.9173 - logits_profile_predictions_loss: 39.6224 - logcount_predictions_loss: 0.2949 26/362 [=>............................] - ETA: 4:00 - loss: 39.8629 - logits_profile_predictions_loss: 39.5705 - logcount_predictions_loss: 0.2924 27/362 [=>............................] - ETA: 3:59 - loss: 39.9235 - logits_profile_predictions_loss: 39.6309 - logcount_predictions_loss: 0.2926 28/362 [=>............................] - ETA: 3:59 - loss: 40.0172 - logits_profile_predictions_loss: 39.7214 - logcount_predictions_loss: 0.2957 29/362 [=>............................] - ETA: 3:58 - loss: 40.0322 - logits_profile_predictions_loss: 39.7270 - logcount_predictions_loss: 0.3052 30/362 [=>............................] - ETA: 3:57 - loss: 39.9245 - logits_profile_predictions_loss: 39.6218 - logcount_predictions_loss: 0.3027 31/362 [=>............................] - ETA: 3:57 - loss: 39.8150 - logits_profile_predictions_loss: 39.5121 - logcount_predictions_loss: 0.3029 32/362 [=>............................] - ETA: 3:56 - loss: 39.9955 - logits_profile_predictions_loss: 39.6864 - logcount_predictions_loss: 0.3090 33/362 [=>............................] - ETA: 3:55 - loss: 39.9695 - logits_profile_predictions_loss: 39.6585 - logcount_predictions_loss: 0.3110 34/362 [=>............................] - ETA: 3:54 - loss: 40.0783 - logits_profile_predictions_loss: 39.7654 - logcount_predictions_loss: 0.3129 35/362 [=>............................] - ETA: 3:54 - loss: 39.8046 - logits_profile_predictions_loss: 39.4886 - logcount_predictions_loss: 0.3160 36/362 [=>............................] - ETA: 3:53 - loss: 39.8783 - logits_profile_predictions_loss: 39.5593 - logcount_predictions_loss: 0.3190 37/362 [==>...........................] - ETA: 3:52 - loss: 39.8146 - logits_profile_predictions_loss: 39.4970 - logcount_predictions_loss: 0.3176 38/362 [==>...........................] - ETA: 3:52 - loss: 39.9039 - logits_profile_predictions_loss: 39.5874 - logcount_predictions_loss: 0.3166 39/362 [==>...........................] - ETA: 3:51 - loss: 39.8736 - logits_profile_predictions_loss: 39.5584 - logcount_predictions_loss: 0.3152 40/362 [==>...........................] - ETA: 3:50 - loss: 39.8652 - logits_profile_predictions_loss: 39.5516 - logcount_predictions_loss: 0.3136 41/362 [==>...........................] - ETA: 3:50 - loss: 39.9502 - logits_profile_predictions_loss: 39.6377 - logcount_predictions_loss: 0.3125 42/362 [==>...........................] - ETA: 3:49 - loss: 39.9093 - logits_profile_predictions_loss: 39.5984 - logcount_predictions_loss: 0.3109 43/362 [==>...........................] - ETA: 3:48 - loss: 39.8697 - logits_profile_predictions_loss: 39.5595 - logcount_predictions_loss: 0.3103 44/362 [==>...........................] - ETA: 3:48 - loss: 39.8318 - logits_profile_predictions_loss: 39.5209 - logcount_predictions_loss: 0.3109 45/362 [==>...........................] - ETA: 3:47 - loss: 39.8326 - logits_profile_predictions_loss: 39.5218 - logcount_predictions_loss: 0.3108 46/362 [==>...........................] - ETA: 3:46 - loss: 39.7818 - logits_profile_predictions_loss: 39.4692 - logcount_predictions_loss: 0.3126 47/362 [==>...........................] - ETA: 3:46 - loss: 39.8388 - logits_profile_predictions_loss: 39.5244 - logcount_predictions_loss: 0.3143 48/362 [==>...........................] - ETA: 3:45 - loss: 39.9174 - logits_profile_predictions_loss: 39.6013 - logcount_predictions_loss: 0.3161 49/362 [===>..........................] - ETA: 3:44 - loss: 39.9055 - logits_profile_predictions_loss: 39.5883 - logcount_predictions_loss: 0.3172 50/362 [===>..........................] - ETA: 3:44 - loss: 39.9361 - logits_profile_predictions_loss: 39.6201 - logcount_predictions_loss: 0.3160 51/362 [===>..........................] - ETA: 3:43 - loss: 39.8548 - logits_profile_predictions_loss: 39.5361 - logcount_predictions_loss: 0.3187 52/362 [===>..........................] - ETA: 3:42 - loss: 39.8211 - logits_profile_predictions_loss: 39.5041 - logcount_predictions_loss: 0.3170 53/362 [===>..........................] - ETA: 3:42 - loss: 39.7473 - logits_profile_predictions_loss: 39.4321 - logcount_predictions_loss: 0.3152 54/362 [===>..........................] - ETA: 3:41 - loss: 39.7011 - logits_profile_predictions_loss: 39.3866 - logcount_predictions_loss: 0.3145 55/362 [===>..........................] - ETA: 3:40 - loss: 39.7508 - logits_profile_predictions_loss: 39.4364 - logcount_predictions_loss: 0.3144 56/362 [===>..........................] - ETA: 3:40 - loss: 39.8621 - logits_profile_predictions_loss: 39.5478 - logcount_predictions_loss: 0.3143 57/362 [===>..........................] - ETA: 3:39 - loss: 39.9107 - logits_profile_predictions_loss: 39.5941 - logcount_predictions_loss: 0.3167 58/362 [===>..........................] - ETA: 3:38 - loss: 39.8670 - logits_profile_predictions_loss: 39.5474 - logcount_predictions_loss: 0.3197 59/362 [===>..........................] - ETA: 3:38 - loss: 39.9394 - logits_profile_predictions_loss: 39.6192 - logcount_predictions_loss: 0.3203 60/362 [===>..........................] - ETA: 3:37 - loss: 40.0014 - logits_profile_predictions_loss: 39.6825 - logcount_predictions_loss: 0.3189 61/362 [====>.........................] - ETA: 3:37 - loss: 39.9112 - logits_profile_predictions_loss: 39.5918 - logcount_predictions_loss: 0.3194 62/362 [====>.........................] - ETA: 3:36 - loss: 39.8848 - logits_profile_predictions_loss: 39.5655 - logcount_predictions_loss: 0.3194 63/362 [====>.........................] - ETA: 3:35 - loss: 39.9951 - logits_profile_predictions_loss: 39.6726 - logcount_predictions_loss: 0.3224 64/362 [====>.........................] - ETA: 3:35 - loss: 39.9502 - logits_profile_predictions_loss: 39.6279 - logcount_predictions_loss: 0.3223 65/362 [====>.........................] - ETA: 3:34 - loss: 39.9877 - logits_profile_predictions_loss: 39.6670 - logcount_predictions_loss: 0.3207 66/362 [====>.........................] - ETA: 3:33 - loss: 40.0347 - logits_profile_predictions_loss: 39.7141 - logcount_predictions_loss: 0.3205 67/362 [====>.........................] - ETA: 3:33 - loss: 40.0601 - logits_profile_predictions_loss: 39.7398 - logcount_predictions_loss: 0.3204 68/362 [====>.........................] - ETA: 3:32 - loss: 40.0755 - logits_profile_predictions_loss: 39.7552 - logcount_predictions_loss: 0.3203 69/362 [====>.........................] - ETA: 3:31 - loss: 40.1372 - logits_profile_predictions_loss: 39.8172 - logcount_predictions_loss: 0.3200 70/362 [====>.........................] - ETA: 3:30 - loss: 40.1041 - logits_profile_predictions_loss: 39.7839 - logcount_predictions_loss: 0.3202 71/362 [====>.........................] - ETA: 3:30 - loss: 40.1017 - logits_profile_predictions_loss: 39.7819 - logcount_predictions_loss: 0.3198 72/362 [====>.........................] - ETA: 3:29 - loss: 40.1400 - 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[======================>.......] - ETA: 56s - loss: 39.9193 - logits_profile_predictions_loss: 39.6028 - logcount_predictions_loss: 0.3165 287/362 [======================>.......] - ETA: 55s - loss: 39.9158 - logits_profile_predictions_loss: 39.5995 - logcount_predictions_loss: 0.3163 288/362 [======================>.......] - ETA: 54s - loss: 39.9193 - logits_profile_predictions_loss: 39.6031 - logcount_predictions_loss: 0.3162 289/362 [======================>.......] - ETA: 53s - loss: 39.9349 - logits_profile_predictions_loss: 39.6185 - logcount_predictions_loss: 0.3164 290/362 [=======================>......] - ETA: 53s - loss: 39.9447 - logits_profile_predictions_loss: 39.6282 - logcount_predictions_loss: 0.3166 291/362 [=======================>......] - ETA: 52s - loss: 39.9478 - logits_profile_predictions_loss: 39.6315 - logcount_predictions_loss: 0.3163 292/362 [=======================>......] - ETA: 51s - loss: 39.9473 - logits_profile_predictions_loss: 39.6312 - 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- ETA: 41s - loss: 39.9913 - logits_profile_predictions_loss: 39.6746 - logcount_predictions_loss: 0.3167 307/362 [========================>.....] - ETA: 40s - loss: 39.9917 - logits_profile_predictions_loss: 39.6750 - logcount_predictions_loss: 0.3167 308/362 [========================>.....] - ETA: 39s - loss: 40.0065 - logits_profile_predictions_loss: 39.6897 - logcount_predictions_loss: 0.3168 309/362 [========================>.....] - ETA: 39s - loss: 40.0011 - logits_profile_predictions_loss: 39.6846 - logcount_predictions_loss: 0.3165 310/362 [========================>.....] - ETA: 38s - loss: 40.0049 - logits_profile_predictions_loss: 39.6884 - logcount_predictions_loss: 0.3165 311/362 [========================>.....] - ETA: 37s - loss: 39.9963 - logits_profile_predictions_loss: 39.6799 - logcount_predictions_loss: 0.3165 312/362 [========================>.....] - ETA: 36s - loss: 39.9954 - logits_profile_predictions_loss: 39.6790 - logcount_predictions_loss: 0.3164 313/362 [========================>.....] - ETA: 36s - loss: 39.9864 - logits_profile_predictions_loss: 39.6703 - logcount_predictions_loss: 0.3161 314/362 [=========================>....] - ETA: 35s - loss: 39.9767 - logits_profile_predictions_loss: 39.6606 - logcount_predictions_loss: 0.3161 315/362 [=========================>....] - ETA: 34s - loss: 39.9623 - logits_profile_predictions_loss: 39.6461 - logcount_predictions_loss: 0.3162 316/362 [=========================>....] - ETA: 33s - loss: 39.9550 - logits_profile_predictions_loss: 39.6383 - logcount_predictions_loss: 0.3167 317/362 [=========================>....] - ETA: 33s - loss: 39.9827 - logits_profile_predictions_loss: 39.6662 - logcount_predictions_loss: 0.3165 318/362 [=========================>....] - ETA: 32s - loss: 39.9719 - logits_profile_predictions_loss: 39.6556 - logcount_predictions_loss: 0.3164 319/362 [=========================>....] - ETA: 31s - loss: 39.9722 - logits_profile_predictions_loss: 39.6558 - 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- ETA: 21s - loss: 39.8868 - logits_profile_predictions_loss: 39.5726 - logcount_predictions_loss: 0.3143 334/362 [==========================>...] - ETA: 20s - loss: 39.8940 - logits_profile_predictions_loss: 39.5795 - logcount_predictions_loss: 0.3145 335/362 [==========================>...] - ETA: 19s - loss: 39.8747 - logits_profile_predictions_loss: 39.5604 - logcount_predictions_loss: 0.3143 336/362 [==========================>...] - ETA: 19s - loss: 39.8744 - logits_profile_predictions_loss: 39.5604 - logcount_predictions_loss: 0.3141 337/362 [==========================>...] - ETA: 18s - loss: 39.8748 - logits_profile_predictions_loss: 39.5611 - logcount_predictions_loss: 0.3137 338/362 [===========================>..] - ETA: 17s - loss: 39.8891 - logits_profile_predictions_loss: 39.5756 - logcount_predictions_loss: 0.3136 339/362 [===========================>..] - ETA: 17s - loss: 39.8814 - logits_profile_predictions_loss: 39.5676 - logcount_predictions_loss: 0.3138 340/362 [===========================>..] - ETA: 16s - loss: 39.8911 - logits_profile_predictions_loss: 39.5774 - logcount_predictions_loss: 0.3137 341/362 [===========================>..] - ETA: 15s - loss: 39.8869 - logits_profile_predictions_loss: 39.5734 - logcount_predictions_loss: 0.3134 342/362 [===========================>..] - ETA: 14s - loss: 39.8807 - logits_profile_predictions_loss: 39.5674 - logcount_predictions_loss: 0.3133 343/362 [===========================>..] - ETA: 14s - loss: 39.8790 - logits_profile_predictions_loss: 39.5661 - logcount_predictions_loss: 0.3129 344/362 [===========================>..] - ETA: 13s - loss: 39.9000 - logits_profile_predictions_loss: 39.5872 - logcount_predictions_loss: 0.3128 345/362 [===========================>..] - ETA: 12s - loss: 39.8888 - logits_profile_predictions_loss: 39.5761 - logcount_predictions_loss: 0.3127 346/362 [===========================>..] - ETA: 11s - loss: 39.8796 - logits_profile_predictions_loss: 39.5669 - 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logits_profile_predictions_loss: 39.6143 - logcount_predictions_loss: 0.3124 354/362 [============================>.] - ETA: 5s - loss: 39.9165 - logits_profile_predictions_loss: 39.6042 - logcount_predictions_loss: 0.3123 355/362 [============================>.] - ETA: 5s - loss: 39.9218 - logits_profile_predictions_loss: 39.6096 - logcount_predictions_loss: 0.3122 356/362 [============================>.] - ETA: 4s - loss: 39.9083 - logits_profile_predictions_loss: 39.5964 - logcount_predictions_loss: 0.3120 357/362 [============================>.] - ETA: 3s - loss: 39.8888 - logits_profile_predictions_loss: 39.5768 - logcount_predictions_loss: 0.3120 358/362 [============================>.] - ETA: 2s - loss: 39.8861 - logits_profile_predictions_loss: 39.5740 - logcount_predictions_loss: 0.3121 359/362 [============================>.] - ETA: 2s - loss: 39.8794 - logits_profile_predictions_loss: 39.5675 - logcount_predictions_loss: 0.3119 360/362 [============================>.] - ETA: 1s - loss: 39.8663 - logits_profile_predictions_loss: 39.5547 - logcount_predictions_loss: 0.3116 361/362 [============================>.] - ETA: 0s - loss: 39.8689 - logits_profile_predictions_loss: 39.5575 - logcount_predictions_loss: 0.3114 362/362 [==============================] - ETA: 0s - loss: 39.8810 - logits_profile_predictions_loss: 39.5700 - logcount_predictions_loss: 0.3110 Epoch 7: val_loss did not improve from 48.01624  362/362 [==============================] - 289s 798ms/step - loss: 39.8810 - logits_profile_predictions_loss: 39.5700 - logcount_predictions_loss: 0.3110 - val_loss: 48.0756 - val_logits_profile_predictions_loss: 47.7400 - val_logcount_predictions_loss: 0.3357 Epoch 8/50 1/362 [..............................] - ETA: 4:20 - loss: 40.7481 - logits_profile_predictions_loss: 40.2895 - logcount_predictions_loss: 0.4586 2/362 [..............................] - ETA: 4:17 - loss: 40.0387 - logits_profile_predictions_loss: 39.6710 - logcount_predictions_loss: 0.3676 3/362 [..............................] - ETA: 4:17 - loss: 40.8024 - logits_profile_predictions_loss: 40.4167 - logcount_predictions_loss: 0.3857 4/362 [..............................] - ETA: 4:16 - loss: 40.2308 - logits_profile_predictions_loss: 39.8381 - logcount_predictions_loss: 0.3927 5/362 [..............................] - ETA: 4:15 - loss: 39.4174 - logits_profile_predictions_loss: 39.0403 - logcount_predictions_loss: 0.3772 6/362 [..............................] - ETA: 4:14 - loss: 38.4381 - logits_profile_predictions_loss: 38.0861 - logcount_predictions_loss: 0.3519 7/362 [..............................] - ETA: 4:14 - loss: 39.0780 - logits_profile_predictions_loss: 38.7406 - logcount_predictions_loss: 0.3374 8/362 [..............................] - ETA: 4:13 - loss: 38.8716 - logits_profile_predictions_loss: 38.5453 - logcount_predictions_loss: 0.3263 9/362 [..............................] - ETA: 4:12 - loss: 38.9515 - logits_profile_predictions_loss: 38.6174 - logcount_predictions_loss: 0.3341 10/362 [..............................] - ETA: 4:11 - loss: 38.5736 - logits_profile_predictions_loss: 38.2484 - logcount_predictions_loss: 0.3252 11/362 [..............................] - ETA: 4:11 - loss: 39.1247 - logits_profile_predictions_loss: 38.8054 - logcount_predictions_loss: 0.3193 12/362 [..............................] - ETA: 4:10 - loss: 39.1973 - logits_profile_predictions_loss: 38.8844 - logcount_predictions_loss: 0.3129 13/362 [>.............................] - ETA: 4:09 - loss: 39.3076 - logits_profile_predictions_loss: 38.9945 - logcount_predictions_loss: 0.3131 14/362 [>.............................] - ETA: 4:09 - loss: 39.2265 - logits_profile_predictions_loss: 38.9096 - logcount_predictions_loss: 0.3169 15/362 [>.............................] - ETA: 4:08 - loss: 39.0308 - logits_profile_predictions_loss: 38.7282 - logcount_predictions_loss: 0.3026 16/362 [>.............................] - ETA: 4:07 - loss: 39.3748 - logits_profile_predictions_loss: 39.0711 - logcount_predictions_loss: 0.3037 17/362 [>.............................] - ETA: 4:07 - loss: 39.3384 - logits_profile_predictions_loss: 39.0354 - logcount_predictions_loss: 0.3030 18/362 [>.............................] - ETA: 4:06 - loss: 39.4685 - logits_profile_predictions_loss: 39.1673 - logcount_predictions_loss: 0.3013 19/362 [>.............................] - ETA: 4:05 - loss: 39.4361 - logits_profile_predictions_loss: 39.1389 - logcount_predictions_loss: 0.2972 20/362 [>.............................] - ETA: 4:05 - loss: 39.3513 - logits_profile_predictions_loss: 39.0588 - logcount_predictions_loss: 0.2926 21/362 [>.............................] - ETA: 4:04 - loss: 39.5949 - logits_profile_predictions_loss: 39.3040 - logcount_predictions_loss: 0.2909 22/362 [>.............................] - ETA: 4:03 - loss: 39.5390 - logits_profile_predictions_loss: 39.2500 - logcount_predictions_loss: 0.2891 23/362 [>.............................] - ETA: 4:02 - loss: 39.4021 - logits_profile_predictions_loss: 39.1113 - logcount_predictions_loss: 0.2908 24/362 [>.............................] - ETA: 4:02 - loss: 39.4721 - logits_profile_predictions_loss: 39.1776 - logcount_predictions_loss: 0.2945 25/362 [=>............................] - ETA: 4:02 - loss: 39.5308 - logits_profile_predictions_loss: 39.2377 - logcount_predictions_loss: 0.2931 26/362 [=>............................] - ETA: 4:01 - loss: 39.4345 - logits_profile_predictions_loss: 39.1339 - logcount_predictions_loss: 0.3006 27/362 [=>............................] - ETA: 4:00 - loss: 39.3407 - logits_profile_predictions_loss: 39.0393 - logcount_predictions_loss: 0.3015 28/362 [=>............................] - ETA: 3:59 - loss: 39.3281 - logits_profile_predictions_loss: 39.0266 - logcount_predictions_loss: 0.3014 29/362 [=>............................] - ETA: 3:59 - loss: 39.4513 - logits_profile_predictions_loss: 39.1470 - logcount_predictions_loss: 0.3043 30/362 [=>............................] - ETA: 3:58 - loss: 39.3729 - logits_profile_predictions_loss: 39.0661 - logcount_predictions_loss: 0.3068 31/362 [=>............................] - ETA: 3:57 - loss: 39.4478 - logits_profile_predictions_loss: 39.1425 - logcount_predictions_loss: 0.3054 32/362 [=>............................] - ETA: 3:57 - loss: 39.6877 - logits_profile_predictions_loss: 39.3805 - logcount_predictions_loss: 0.3072 33/362 [=>............................] - ETA: 3:56 - loss: 39.6874 - logits_profile_predictions_loss: 39.3810 - logcount_predictions_loss: 0.3063 34/362 [=>............................] - ETA: 3:55 - loss: 39.6710 - logits_profile_predictions_loss: 39.3615 - logcount_predictions_loss: 0.3096 35/362 [=>............................] - ETA: 3:55 - loss: 39.7232 - logits_profile_predictions_loss: 39.4125 - logcount_predictions_loss: 0.3107 36/362 [=>............................] - ETA: 3:54 - loss: 39.6768 - logits_profile_predictions_loss: 39.3662 - logcount_predictions_loss: 0.3106 37/362 [==>...........................] - ETA: 3:53 - loss: 39.7573 - logits_profile_predictions_loss: 39.4463 - logcount_predictions_loss: 0.3109 38/362 [==>...........................] - ETA: 3:53 - loss: 39.7835 - logits_profile_predictions_loss: 39.4735 - logcount_predictions_loss: 0.3099 39/362 [==>...........................] - ETA: 3:52 - loss: 39.8585 - logits_profile_predictions_loss: 39.5497 - logcount_predictions_loss: 0.3089 40/362 [==>...........................] - ETA: 3:51 - loss: 39.8890 - logits_profile_predictions_loss: 39.5809 - logcount_predictions_loss: 0.3081 41/362 [==>...........................] - ETA: 3:50 - loss: 39.8129 - logits_profile_predictions_loss: 39.5037 - logcount_predictions_loss: 0.3092 42/362 [==>...........................] - ETA: 3:50 - loss: 39.9301 - logits_profile_predictions_loss: 39.6227 - logcount_predictions_loss: 0.3074 43/362 [==>...........................] - ETA: 3:49 - loss: 39.9313 - logits_profile_predictions_loss: 39.6260 - logcount_predictions_loss: 0.3052 44/362 [==>...........................] - ETA: 3:48 - loss: 40.0280 - logits_profile_predictions_loss: 39.7217 - logcount_predictions_loss: 0.3063 45/362 [==>...........................] - ETA: 3:48 - loss: 40.0176 - logits_profile_predictions_loss: 39.7121 - logcount_predictions_loss: 0.3056 46/362 [==>...........................] - ETA: 3:47 - loss: 40.0308 - logits_profile_predictions_loss: 39.7242 - logcount_predictions_loss: 0.3066 47/362 [==>...........................] - ETA: 3:46 - loss: 40.0697 - logits_profile_predictions_loss: 39.7645 - logcount_predictions_loss: 0.3052 48/362 [==>...........................] - ETA: 3:46 - loss: 39.9194 - logits_profile_predictions_loss: 39.6133 - logcount_predictions_loss: 0.3062 49/362 [===>..........................] - ETA: 3:45 - loss: 39.9197 - logits_profile_predictions_loss: 39.6141 - logcount_predictions_loss: 0.3055 50/362 [===>..........................] - ETA: 3:44 - loss: 39.9388 - logits_profile_predictions_loss: 39.6345 - logcount_predictions_loss: 0.3043 51/362 [===>..........................] - ETA: 3:44 - loss: 39.7547 - logits_profile_predictions_loss: 39.4521 - logcount_predictions_loss: 0.3026 52/362 [===>..........................] - ETA: 3:43 - loss: 39.6745 - logits_profile_predictions_loss: 39.3725 - logcount_predictions_loss: 0.3020 53/362 [===>..........................] - ETA: 3:42 - loss: 39.7026 - logits_profile_predictions_loss: 39.3996 - logcount_predictions_loss: 0.3029 54/362 [===>..........................] - ETA: 3:42 - loss: 39.7589 - logits_profile_predictions_loss: 39.4559 - logcount_predictions_loss: 0.3031 55/362 [===>..........................] - ETA: 3:41 - loss: 39.7142 - logits_profile_predictions_loss: 39.4108 - logcount_predictions_loss: 0.3034 56/362 [===>..........................] - ETA: 3:40 - loss: 39.7239 - logits_profile_predictions_loss: 39.4187 - logcount_predictions_loss: 0.3052 57/362 [===>..........................] - ETA: 3:40 - loss: 39.6613 - logits_profile_predictions_loss: 39.3564 - logcount_predictions_loss: 0.3050 58/362 [===>..........................] - ETA: 3:39 - loss: 39.5938 - logits_profile_predictions_loss: 39.2898 - logcount_predictions_loss: 0.3041 59/362 [===>..........................] - ETA: 3:38 - loss: 39.5771 - logits_profile_predictions_loss: 39.2730 - logcount_predictions_loss: 0.3041 60/362 [===>..........................] - ETA: 3:38 - loss: 39.5939 - logits_profile_predictions_loss: 39.2893 - logcount_predictions_loss: 0.3046 61/362 [====>.........................] - ETA: 3:37 - loss: 39.6675 - logits_profile_predictions_loss: 39.3621 - logcount_predictions_loss: 0.3055 62/362 [====>.........................] - ETA: 3:36 - loss: 39.7367 - logits_profile_predictions_loss: 39.4313 - logcount_predictions_loss: 0.3054 63/362 [====>.........................] - ETA: 3:36 - loss: 39.8114 - logits_profile_predictions_loss: 39.5057 - logcount_predictions_loss: 0.3057 64/362 [====>.........................] - ETA: 3:35 - loss: 39.8085 - logits_profile_predictions_loss: 39.5017 - logcount_predictions_loss: 0.3069 65/362 [====>.........................] - ETA: 3:35 - loss: 39.7990 - logits_profile_predictions_loss: 39.4913 - logcount_predictions_loss: 0.3076 66/362 [====>.........................] - ETA: 3:34 - loss: 39.7063 - logits_profile_predictions_loss: 39.3990 - logcount_predictions_loss: 0.3073 67/362 [====>.........................] - ETA: 3:31 - loss: 39.7011 - logits_profile_predictions_loss: 39.3931 - logcount_predictions_loss: 0.3080 68/362 [====>.........................] - ETA: 3:30 - loss: 39.7126 - logits_profile_predictions_loss: 39.4013 - logcount_predictions_loss: 0.3113 69/362 [====>.........................] - ETA: 3:30 - loss: 39.7748 - logits_profile_predictions_loss: 39.4623 - logcount_predictions_loss: 0.3125 70/362 [====>.........................] - ETA: 3:29 - loss: 39.7817 - logits_profile_predictions_loss: 39.4696 - logcount_predictions_loss: 0.3121 71/362 [====>.........................] - ETA: 3:29 - loss: 39.8085 - logits_profile_predictions_loss: 39.4969 - logcount_predictions_loss: 0.3116 72/362 [====>.........................] - ETA: 3:28 - loss: 39.9241 - logits_profile_predictions_loss: 39.6127 - logcount_predictions_loss: 0.3115 73/362 [=====>........................] - ETA: 3:28 - loss: 39.9317 - logits_profile_predictions_loss: 39.6193 - logcount_predictions_loss: 0.3124 74/362 [=====>........................] - ETA: 3:27 - loss: 40.0603 - logits_profile_predictions_loss: 39.7465 - logcount_predictions_loss: 0.3138 75/362 [=====>........................] - ETA: 3:26 - loss: 40.1164 - logits_profile_predictions_loss: 39.8024 - logcount_predictions_loss: 0.3141 76/362 [=====>........................] - ETA: 3:26 - loss: 40.1447 - logits_profile_predictions_loss: 39.8303 - logcount_predictions_loss: 0.3145 77/362 [=====>........................] - ETA: 3:25 - loss: 40.0842 - logits_profile_predictions_loss: 39.7686 - logcount_predictions_loss: 0.3156 78/362 [=====>........................] - ETA: 3:24 - loss: 40.0154 - logits_profile_predictions_loss: 39.6994 - logcount_predictions_loss: 0.3160 79/362 [=====>........................] - ETA: 3:24 - loss: 39.9614 - logits_profile_predictions_loss: 39.6457 - logcount_predictions_loss: 0.3157 80/362 [=====>........................] - ETA: 3:23 - loss: 39.9734 - logits_profile_predictions_loss: 39.6576 - logcount_predictions_loss: 0.3158 81/362 [=====>........................] - ETA: 3:22 - loss: 40.0643 - logits_profile_predictions_loss: 39.7480 - logcount_predictions_loss: 0.3163 82/362 [=====>........................] - ETA: 3:22 - loss: 40.0737 - logits_profile_predictions_loss: 39.7578 - logcount_predictions_loss: 0.3158 83/362 [=====>........................] - ETA: 3:21 - loss: 40.0374 - logits_profile_predictions_loss: 39.7230 - logcount_predictions_loss: 0.3144 84/362 [=====>........................] - ETA: 3:20 - loss: 40.0641 - logits_profile_predictions_loss: 39.7481 - logcount_predictions_loss: 0.3160 85/362 [======>.......................] - ETA: 3:20 - loss: 40.0802 - logits_profile_predictions_loss: 39.7634 - logcount_predictions_loss: 0.3169 86/362 [======>.......................] - ETA: 3:19 - loss: 40.0257 - logits_profile_predictions_loss: 39.7085 - logcount_predictions_loss: 0.3172 87/362 [======>.......................] - ETA: 3:18 - loss: 40.0395 - logits_profile_predictions_loss: 39.7227 - logcount_predictions_loss: 0.3168 88/362 [======>.......................] - ETA: 3:18 - loss: 39.9995 - logits_profile_predictions_loss: 39.6831 - logcount_predictions_loss: 0.3164 89/362 [======>.......................] - ETA: 3:17 - loss: 39.9741 - logits_profile_predictions_loss: 39.6583 - logcount_predictions_loss: 0.3159 90/362 [======>.......................] - ETA: 3:16 - loss: 40.0348 - logits_profile_predictions_loss: 39.7197 - logcount_predictions_loss: 0.3151 91/362 [======>.......................] - ETA: 3:15 - loss: 40.0411 - logits_profile_predictions_loss: 39.7263 - logcount_predictions_loss: 0.3148 92/362 [======>.......................] - ETA: 3:15 - loss: 39.9511 - logits_profile_predictions_loss: 39.6367 - logcount_predictions_loss: 0.3145 93/362 [======>.......................] - ETA: 3:14 - loss: 39.9935 - logits_profile_predictions_loss: 39.6794 - logcount_predictions_loss: 0.3141 94/362 [======>.......................] - ETA: 3:13 - loss: 39.9904 - logits_profile_predictions_loss: 39.6772 - logcount_predictions_loss: 0.3132 95/362 [======>.......................] - ETA: 3:13 - loss: 39.9890 - logits_profile_predictions_loss: 39.6758 - logcount_predictions_loss: 0.3132 96/362 [======>.......................] - ETA: 3:12 - loss: 39.9606 - logits_profile_predictions_loss: 39.6479 - logcount_predictions_loss: 0.3127 97/362 [=======>......................] - ETA: 3:11 - loss: 39.9865 - logits_profile_predictions_loss: 39.6738 - logcount_predictions_loss: 0.3127 98/362 [=======>......................] - ETA: 3:11 - loss: 39.9496 - logits_profile_predictions_loss: 39.6377 - logcount_predictions_loss: 0.3119 99/362 [=======>......................] - ETA: 3:10 - loss: 39.9051 - logits_profile_predictions_loss: 39.5942 - logcount_predictions_loss: 0.3108 100/362 [=======>......................] - ETA: 3:09 - loss: 39.9075 - logits_profile_predictions_loss: 39.5967 - logcount_predictions_loss: 0.3108 101/362 [=======>......................] - ETA: 3:09 - loss: 39.9567 - logits_profile_predictions_loss: 39.6449 - logcount_predictions_loss: 0.3118 102/362 [=======>......................] - ETA: 3:08 - loss: 39.9447 - logits_profile_predictions_loss: 39.6329 - logcount_predictions_loss: 0.3118 103/362 [=======>......................] - ETA: 3:07 - loss: 40.0060 - logits_profile_predictions_loss: 39.6940 - logcount_predictions_loss: 0.3119 104/362 [=======>......................] - ETA: 3:07 - loss: 39.9737 - logits_profile_predictions_loss: 39.6622 - logcount_predictions_loss: 0.3115 105/362 [=======>......................] - ETA: 3:06 - loss: 39.9718 - logits_profile_predictions_loss: 39.6604 - logcount_predictions_loss: 0.3114 106/362 [=======>......................] - ETA: 3:05 - loss: 39.9185 - logits_profile_predictions_loss: 39.6074 - logcount_predictions_loss: 0.3111 107/362 [=======>......................] - ETA: 3:04 - loss: 39.9512 - logits_profile_predictions_loss: 39.6403 - logcount_predictions_loss: 0.3109 108/362 [=======>......................] - ETA: 3:04 - loss: 39.9120 - logits_profile_predictions_loss: 39.6024 - logcount_predictions_loss: 0.3097 109/362 [========>.....................] - ETA: 3:03 - loss: 39.9121 - logits_profile_predictions_loss: 39.6022 - logcount_predictions_loss: 0.3099 110/362 [========>.....................] - ETA: 3:02 - loss: 39.8530 - logits_profile_predictions_loss: 39.5428 - logcount_predictions_loss: 0.3102 111/362 [========>.....................] - ETA: 3:02 - loss: 39.8457 - logits_profile_predictions_loss: 39.5354 - logcount_predictions_loss: 0.3102 112/362 [========>.....................] - ETA: 3:01 - loss: 39.7916 - logits_profile_predictions_loss: 39.4822 - logcount_predictions_loss: 0.3094 113/362 [========>.....................] - ETA: 3:00 - loss: 39.7739 - logits_profile_predictions_loss: 39.4653 - logcount_predictions_loss: 0.3085 114/362 [========>.....................] - ETA: 3:00 - loss: 39.7746 - logits_profile_predictions_loss: 39.4654 - logcount_predictions_loss: 0.3092 115/362 [========>.....................] - ETA: 2:59 - loss: 39.7629 - logits_profile_predictions_loss: 39.4545 - logcount_predictions_loss: 0.3084 116/362 [========>.....................] - ETA: 2:58 - loss: 39.7714 - logits_profile_predictions_loss: 39.4629 - logcount_predictions_loss: 0.3085 117/362 [========>.....................] - ETA: 2:58 - loss: 39.7286 - logits_profile_predictions_loss: 39.4194 - logcount_predictions_loss: 0.3092 118/362 [========>.....................] - ETA: 2:57 - loss: 39.7344 - logits_profile_predictions_loss: 39.4249 - logcount_predictions_loss: 0.3095 119/362 [========>.....................] - ETA: 2:56 - loss: 39.7486 - logits_profile_predictions_loss: 39.4396 - logcount_predictions_loss: 0.3090 120/362 [========>.....................] - ETA: 2:56 - loss: 39.7704 - logits_profile_predictions_loss: 39.4611 - logcount_predictions_loss: 0.3093 121/362 [=========>....................] - ETA: 2:55 - loss: 39.7151 - logits_profile_predictions_loss: 39.4051 - logcount_predictions_loss: 0.3101 122/362 [=========>....................] - ETA: 2:54 - loss: 39.7592 - logits_profile_predictions_loss: 39.4492 - logcount_predictions_loss: 0.3100 123/362 [=========>....................] - ETA: 2:54 - loss: 39.7750 - logits_profile_predictions_loss: 39.4660 - logcount_predictions_loss: 0.3090 124/362 [=========>....................] - ETA: 2:53 - loss: 39.7749 - logits_profile_predictions_loss: 39.4659 - logcount_predictions_loss: 0.3090 125/362 [=========>....................] - ETA: 2:52 - loss: 39.7690 - logits_profile_predictions_loss: 39.4600 - logcount_predictions_loss: 0.3090 126/362 [=========>....................] - ETA: 2:52 - loss: 39.7337 - logits_profile_predictions_loss: 39.4247 - logcount_predictions_loss: 0.3090 127/362 [=========>....................] - ETA: 2:51 - loss: 39.6916 - logits_profile_predictions_loss: 39.3824 - logcount_predictions_loss: 0.3092 128/362 [=========>....................] - ETA: 2:50 - loss: 39.6806 - logits_profile_predictions_loss: 39.3716 - logcount_predictions_loss: 0.3090 129/362 [=========>....................] - ETA: 2:50 - loss: 39.6956 - logits_profile_predictions_loss: 39.3866 - logcount_predictions_loss: 0.3090 130/362 [=========>....................] - ETA: 2:49 - loss: 39.7064 - logits_profile_predictions_loss: 39.3979 - logcount_predictions_loss: 0.3085 131/362 [=========>....................] - ETA: 2:48 - loss: 39.6671 - logits_profile_predictions_loss: 39.3589 - logcount_predictions_loss: 0.3081 132/362 [=========>....................] - ETA: 2:48 - loss: 39.6815 - logits_profile_predictions_loss: 39.3731 - logcount_predictions_loss: 0.3084 133/362 [==========>...................] - ETA: 2:47 - loss: 39.6699 - logits_profile_predictions_loss: 39.3610 - logcount_predictions_loss: 0.3089 134/362 [==========>...................] - ETA: 2:46 - loss: 39.6728 - logits_profile_predictions_loss: 39.3645 - logcount_predictions_loss: 0.3083 135/362 [==========>...................] - ETA: 2:45 - loss: 39.6532 - logits_profile_predictions_loss: 39.3454 - logcount_predictions_loss: 0.3077 136/362 [==========>...................] - ETA: 2:45 - loss: 39.6237 - logits_profile_predictions_loss: 39.3166 - logcount_predictions_loss: 0.3071 137/362 [==========>...................] - ETA: 2:44 - loss: 39.6288 - 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[========================>.....] - ETA: 37s - loss: 39.5982 - logits_profile_predictions_loss: 39.2902 - logcount_predictions_loss: 0.3080 312/362 [========================>.....] - ETA: 37s - loss: 39.6081 - logits_profile_predictions_loss: 39.3000 - logcount_predictions_loss: 0.3081 313/362 [========================>.....] - ETA: 36s - loss: 39.5989 - logits_profile_predictions_loss: 39.2908 - logcount_predictions_loss: 0.3080 314/362 [=========================>....] - ETA: 35s - loss: 39.5942 - logits_profile_predictions_loss: 39.2864 - logcount_predictions_loss: 0.3078 315/362 [=========================>....] - ETA: 34s - loss: 39.5971 - logits_profile_predictions_loss: 39.2895 - logcount_predictions_loss: 0.3076 316/362 [=========================>....] - ETA: 34s - loss: 39.5862 - logits_profile_predictions_loss: 39.2789 - logcount_predictions_loss: 0.3073 317/362 [=========================>....] - ETA: 33s - loss: 39.5941 - logits_profile_predictions_loss: 39.2868 - 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- ETA: 22s - loss: 39.5546 - logits_profile_predictions_loss: 39.2453 - logcount_predictions_loss: 0.3093 332/362 [==========================>...] - ETA: 22s - loss: 39.5527 - logits_profile_predictions_loss: 39.2434 - logcount_predictions_loss: 0.3093 333/362 [==========================>...] - ETA: 21s - loss: 39.5641 - logits_profile_predictions_loss: 39.2551 - logcount_predictions_loss: 0.3091 334/362 [==========================>...] - ETA: 20s - loss: 39.5761 - logits_profile_predictions_loss: 39.2672 - logcount_predictions_loss: 0.3089 335/362 [==========================>...] - ETA: 20s - loss: 39.5783 - logits_profile_predictions_loss: 39.2694 - logcount_predictions_loss: 0.3089 336/362 [==========================>...] - ETA: 19s - loss: 39.5695 - logits_profile_predictions_loss: 39.2607 - logcount_predictions_loss: 0.3088 337/362 [==========================>...] - ETA: 18s - loss: 39.5709 - logits_profile_predictions_loss: 39.2620 - logcount_predictions_loss: 0.3089 338/362 [===========================>..] - ETA: 17s - loss: 39.5862 - logits_profile_predictions_loss: 39.2772 - logcount_predictions_loss: 0.3090 339/362 [===========================>..] - ETA: 17s - loss: 39.6181 - logits_profile_predictions_loss: 39.3091 - logcount_predictions_loss: 0.3090 340/362 [===========================>..] - ETA: 16s - loss: 39.6055 - logits_profile_predictions_loss: 39.2965 - logcount_predictions_loss: 0.3090 341/362 [===========================>..] - ETA: 15s - loss: 39.6136 - logits_profile_predictions_loss: 39.3046 - logcount_predictions_loss: 0.3090 342/362 [===========================>..] - ETA: 14s - loss: 39.6098 - logits_profile_predictions_loss: 39.3011 - logcount_predictions_loss: 0.3087 343/362 [===========================>..] - ETA: 14s - loss: 39.6025 - logits_profile_predictions_loss: 39.2939 - logcount_predictions_loss: 0.3086 344/362 [===========================>..] - ETA: 13s - loss: 39.6288 - logits_profile_predictions_loss: 39.3201 - logcount_predictions_loss: 0.3087 345/362 [===========================>..] - ETA: 12s - loss: 39.6072 - logits_profile_predictions_loss: 39.2984 - logcount_predictions_loss: 0.3089 346/362 [===========================>..] - ETA: 11s - loss: 39.6102 - logits_profile_predictions_loss: 39.3013 - logcount_predictions_loss: 0.3089 347/362 [===========================>..] - ETA: 11s - loss: 39.6056 - logits_profile_predictions_loss: 39.2969 - logcount_predictions_loss: 0.3087 348/362 [===========================>..] - ETA: 10s - loss: 39.6159 - logits_profile_predictions_loss: 39.3070 - logcount_predictions_loss: 0.3089 349/362 [===========================>..] - ETA: 9s - loss: 39.6191 - logits_profile_predictions_loss: 39.3102 - logcount_predictions_loss: 0.3089  350/362 [============================>.] - ETA: 8s - loss: 39.6172 - logits_profile_predictions_loss: 39.3082 - logcount_predictions_loss: 0.3090 351/362 [============================>.] - ETA: 8s - loss: 39.6047 - logits_profile_predictions_loss: 39.2960 - logcount_predictions_loss: 0.3087 352/362 [============================>.] - ETA: 7s - loss: 39.6084 - logits_profile_predictions_loss: 39.2997 - logcount_predictions_loss: 0.3087 353/362 [============================>.] - ETA: 6s - loss: 39.6097 - logits_profile_predictions_loss: 39.3012 - logcount_predictions_loss: 0.3085 354/362 [============================>.] - ETA: 5s - loss: 39.6163 - logits_profile_predictions_loss: 39.3080 - logcount_predictions_loss: 0.3082 355/362 [============================>.] - ETA: 5s - loss: 39.6095 - logits_profile_predictions_loss: 39.3013 - logcount_predictions_loss: 0.3082 356/362 [============================>.] - ETA: 4s - loss: 39.6268 - logits_profile_predictions_loss: 39.3188 - logcount_predictions_loss: 0.3080 357/362 [============================>.] - ETA: 3s - loss: 39.6421 - logits_profile_predictions_loss: 39.3341 - logcount_predictions_loss: 0.3080 358/362 [============================>.] - ETA: 2s - loss: 39.6263 - logits_profile_predictions_loss: 39.3185 - logcount_predictions_loss: 0.3078 359/362 [============================>.] - ETA: 2s - loss: 39.6415 - logits_profile_predictions_loss: 39.3338 - logcount_predictions_loss: 0.3076 360/362 [============================>.] - ETA: 1s - loss: 39.6491 - logits_profile_predictions_loss: 39.3416 - logcount_predictions_loss: 0.3074 361/362 [============================>.] - ETA: 0s - loss: 39.6424 - logits_profile_predictions_loss: 39.3351 - logcount_predictions_loss: 0.3073 362/362 [==============================] - ETA: 0s - loss: 39.6392 - logits_profile_predictions_loss: 39.3318 - logcount_predictions_loss: 0.3075 Epoch 8: val_loss did not improve from 48.01624  362/362 [==============================] - 289s 798ms/step - loss: 39.6392 - logits_profile_predictions_loss: 39.3318 - logcount_predictions_loss: 0.3075 - val_loss: 48.2045 - val_logits_profile_predictions_loss: 47.8783 - val_logcount_predictions_loss: 0.3262 Epoch 9/50 1/362 [..............................] - ETA: 4:22 - loss: 34.9525 - logits_profile_predictions_loss: 34.5410 - logcount_predictions_loss: 0.4115 2/362 [..............................] - ETA: 4:18 - loss: 36.8788 - logits_profile_predictions_loss: 36.4999 - logcount_predictions_loss: 0.3789 3/362 [..............................] - ETA: 4:17 - loss: 36.1832 - logits_profile_predictions_loss: 35.8350 - logcount_predictions_loss: 0.3482 4/362 [..............................] - ETA: 4:16 - loss: 37.0492 - logits_profile_predictions_loss: 36.7149 - logcount_predictions_loss: 0.3343 5/362 [..............................] - ETA: 4:15 - loss: 37.5996 - logits_profile_predictions_loss: 37.2559 - logcount_predictions_loss: 0.3437 6/362 [..............................] - ETA: 4:14 - loss: 36.9194 - logits_profile_predictions_loss: 36.5641 - logcount_predictions_loss: 0.3553 7/362 [..............................] - ETA: 4:14 - loss: 36.5900 - logits_profile_predictions_loss: 36.2449 - logcount_predictions_loss: 0.3451 8/362 [..............................] - ETA: 4:14 - loss: 36.4924 - logits_profile_predictions_loss: 36.1496 - logcount_predictions_loss: 0.3428 9/362 [..............................] - ETA: 4:13 - loss: 36.8440 - logits_profile_predictions_loss: 36.4944 - logcount_predictions_loss: 0.3496 10/362 [..............................] - ETA: 4:12 - loss: 36.7345 - logits_profile_predictions_loss: 36.3861 - logcount_predictions_loss: 0.3484 11/362 [..............................] - ETA: 4:12 - loss: 36.5205 - logits_profile_predictions_loss: 36.1845 - logcount_predictions_loss: 0.3359 12/362 [..............................] - ETA: 4:11 - loss: 36.6563 - logits_profile_predictions_loss: 36.3356 - logcount_predictions_loss: 0.3207 13/362 [>.............................] - ETA: 4:10 - loss: 37.0491 - logits_profile_predictions_loss: 36.7261 - logcount_predictions_loss: 0.3230 14/362 [>.............................] - ETA: 4:09 - loss: 36.8786 - 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[=>............................] - ETA: 4:00 - loss: 38.1067 - logits_profile_predictions_loss: 37.8001 - logcount_predictions_loss: 0.3066 29/362 [=>............................] - ETA: 3:59 - loss: 38.1222 - logits_profile_predictions_loss: 37.8137 - logcount_predictions_loss: 0.3084 30/362 [=>............................] - ETA: 3:58 - loss: 38.1192 - logits_profile_predictions_loss: 37.8098 - logcount_predictions_loss: 0.3094 31/362 [=>............................] - ETA: 3:58 - loss: 38.0935 - logits_profile_predictions_loss: 37.7838 - logcount_predictions_loss: 0.3098 32/362 [=>............................] - ETA: 3:57 - loss: 38.1716 - logits_profile_predictions_loss: 37.8649 - logcount_predictions_loss: 0.3067 33/362 [=>............................] - ETA: 3:56 - loss: 38.0392 - logits_profile_predictions_loss: 37.7326 - logcount_predictions_loss: 0.3066 34/362 [=>............................] - ETA: 3:56 - loss: 38.0164 - logits_profile_predictions_loss: 37.7100 - 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logits_profile_predictions_loss: 37.8911 - logcount_predictions_loss: 0.3193 42/362 [==>...........................] - ETA: 3:50 - loss: 38.0639 - logits_profile_predictions_loss: 37.7448 - logcount_predictions_loss: 0.3191 43/362 [==>...........................] - ETA: 3:49 - loss: 38.2850 - logits_profile_predictions_loss: 37.9631 - logcount_predictions_loss: 0.3219 44/362 [==>...........................] - ETA: 3:48 - loss: 38.2136 - logits_profile_predictions_loss: 37.8924 - logcount_predictions_loss: 0.3212 45/362 [==>...........................] - ETA: 3:48 - loss: 38.2211 - logits_profile_predictions_loss: 37.9001 - logcount_predictions_loss: 0.3210 46/362 [==>...........................] - ETA: 3:47 - loss: 38.3682 - logits_profile_predictions_loss: 38.0465 - logcount_predictions_loss: 0.3217 47/362 [==>...........................] - ETA: 3:46 - loss: 38.4644 - logits_profile_predictions_loss: 38.1444 - logcount_predictions_loss: 0.3200 48/362 [==>...........................] - ETA: 3:46 - loss: 38.3895 - logits_profile_predictions_loss: 38.0714 - logcount_predictions_loss: 0.3181 49/362 [===>..........................] - ETA: 3:45 - loss: 38.3753 - logits_profile_predictions_loss: 38.0571 - logcount_predictions_loss: 0.3183 50/362 [===>..........................] - ETA: 3:44 - loss: 38.3312 - logits_profile_predictions_loss: 38.0123 - logcount_predictions_loss: 0.3189 51/362 [===>..........................] - ETA: 3:44 - loss: 38.2163 - logits_profile_predictions_loss: 37.8991 - logcount_predictions_loss: 0.3172 52/362 [===>..........................] - ETA: 3:43 - loss: 38.2656 - logits_profile_predictions_loss: 37.9480 - logcount_predictions_loss: 0.3176 53/362 [===>..........................] - ETA: 3:42 - loss: 38.3192 - logits_profile_predictions_loss: 38.0011 - logcount_predictions_loss: 0.3181 54/362 [===>..........................] - ETA: 3:42 - loss: 38.3319 - logits_profile_predictions_loss: 38.0139 - logcount_predictions_loss: 0.3180 55/362 [===>..........................] - ETA: 3:41 - loss: 38.3765 - logits_profile_predictions_loss: 38.0597 - logcount_predictions_loss: 0.3168 56/362 [===>..........................] - ETA: 3:40 - loss: 38.4985 - logits_profile_predictions_loss: 38.1822 - logcount_predictions_loss: 0.3163 57/362 [===>..........................] - ETA: 3:40 - loss: 38.5270 - logits_profile_predictions_loss: 38.2123 - logcount_predictions_loss: 0.3147 58/362 [===>..........................] - ETA: 3:39 - loss: 38.4231 - logits_profile_predictions_loss: 38.1085 - logcount_predictions_loss: 0.3146 59/362 [===>..........................] - ETA: 3:38 - loss: 38.4884 - logits_profile_predictions_loss: 38.1735 - logcount_predictions_loss: 0.3150 60/362 [===>..........................] - ETA: 3:38 - loss: 38.4816 - logits_profile_predictions_loss: 38.1675 - logcount_predictions_loss: 0.3141 61/362 [====>.........................] - ETA: 3:37 - loss: 38.5575 - logits_profile_predictions_loss: 38.2433 - logcount_predictions_loss: 0.3142 62/362 [====>.........................] - ETA: 3:36 - loss: 38.6753 - logits_profile_predictions_loss: 38.3624 - logcount_predictions_loss: 0.3129 63/362 [====>.........................] - ETA: 3:35 - loss: 38.7153 - logits_profile_predictions_loss: 38.4037 - logcount_predictions_loss: 0.3116 64/362 [====>.........................] - ETA: 3:35 - loss: 38.6721 - logits_profile_predictions_loss: 38.3612 - logcount_predictions_loss: 0.3110 65/362 [====>.........................] - ETA: 3:34 - loss: 38.6801 - logits_profile_predictions_loss: 38.3680 - logcount_predictions_loss: 0.3121 66/362 [====>.........................] - ETA: 3:33 - loss: 38.6978 - logits_profile_predictions_loss: 38.3854 - logcount_predictions_loss: 0.3124 67/362 [====>.........................] - ETA: 3:33 - loss: 38.6582 - logits_profile_predictions_loss: 38.3468 - logcount_predictions_loss: 0.3114 68/362 [====>.........................] - ETA: 3:32 - loss: 38.7107 - 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[===================>..........] - ETA: 1:28 - loss: 39.1908 - logits_profile_predictions_loss: 38.8792 - logcount_predictions_loss: 0.3116 243/362 [===================>..........] - ETA: 1:27 - loss: 39.2148 - logits_profile_predictions_loss: 38.9035 - logcount_predictions_loss: 0.3113 244/362 [===================>..........] - ETA: 1:27 - loss: 39.2247 - logits_profile_predictions_loss: 38.9134 - logcount_predictions_loss: 0.3113 245/362 [===================>..........] - ETA: 1:26 - loss: 39.2287 - logits_profile_predictions_loss: 38.9180 - logcount_predictions_loss: 0.3108 246/362 [===================>..........] - ETA: 1:25 - loss: 39.2266 - logits_profile_predictions_loss: 38.9159 - logcount_predictions_loss: 0.3107 247/362 [===================>..........] - ETA: 1:24 - loss: 39.2334 - logits_profile_predictions_loss: 38.9229 - logcount_predictions_loss: 0.3106 248/362 [===================>..........] - ETA: 1:24 - loss: 39.2518 - logits_profile_predictions_loss: 38.9413 - 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[====================>.........] - ETA: 1:13 - loss: 39.2040 - logits_profile_predictions_loss: 38.8941 - logcount_predictions_loss: 0.3099 263/362 [====================>.........] - ETA: 1:13 - loss: 39.2162 - logits_profile_predictions_loss: 38.9060 - logcount_predictions_loss: 0.3102 264/362 [====================>.........] - ETA: 1:12 - loss: 39.2199 - logits_profile_predictions_loss: 38.9101 - logcount_predictions_loss: 0.3099 265/362 [====================>.........] - ETA: 1:11 - loss: 39.2393 - logits_profile_predictions_loss: 38.9294 - logcount_predictions_loss: 0.3100 266/362 [=====================>........] - ETA: 1:10 - loss: 39.2553 - logits_profile_predictions_loss: 38.9455 - logcount_predictions_loss: 0.3097 267/362 [=====================>........] - ETA: 1:10 - loss: 39.2550 - logits_profile_predictions_loss: 38.9454 - logcount_predictions_loss: 0.3096 268/362 [=====================>........] - ETA: 1:09 - loss: 39.2604 - logits_profile_predictions_loss: 38.9509 - 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logits_profile_predictions_loss: 38.9825 - logcount_predictions_loss: 0.3106 276/362 [=====================>........] - ETA: 1:03 - loss: 39.2958 - logits_profile_predictions_loss: 38.9856 - logcount_predictions_loss: 0.3102 277/362 [=====================>........] - ETA: 1:02 - loss: 39.2811 - logits_profile_predictions_loss: 38.9706 - logcount_predictions_loss: 0.3105 278/362 [======================>.......] - ETA: 1:02 - loss: 39.2972 - logits_profile_predictions_loss: 38.9864 - logcount_predictions_loss: 0.3108 279/362 [======================>.......] - ETA: 1:01 - loss: 39.2912 - logits_profile_predictions_loss: 38.9810 - logcount_predictions_loss: 0.3103 280/362 [======================>.......] - ETA: 1:00 - loss: 39.2921 - logits_profile_predictions_loss: 38.9819 - logcount_predictions_loss: 0.3102 281/362 [======================>.......] - ETA: 59s - loss: 39.3058 - logits_profile_predictions_loss: 38.9954 - logcount_predictions_loss: 0.3104  282/362 [======================>.......] - ETA: 59s - loss: 39.3280 - logits_profile_predictions_loss: 39.0175 - logcount_predictions_loss: 0.3106 283/362 [======================>.......] - ETA: 58s - loss: 39.3125 - logits_profile_predictions_loss: 39.0017 - logcount_predictions_loss: 0.3108 284/362 [======================>.......] - ETA: 57s - loss: 39.3082 - logits_profile_predictions_loss: 38.9976 - logcount_predictions_loss: 0.3106 285/362 [======================>.......] - ETA: 56s - loss: 39.3089 - logits_profile_predictions_loss: 38.9984 - logcount_predictions_loss: 0.3106 286/362 [======================>.......] - ETA: 56s - loss: 39.3204 - logits_profile_predictions_loss: 39.0099 - logcount_predictions_loss: 0.3105 287/362 [======================>.......] - ETA: 55s - loss: 39.3266 - logits_profile_predictions_loss: 39.0164 - logcount_predictions_loss: 0.3102 288/362 [======================>.......] - ETA: 54s - loss: 39.3086 - logits_profile_predictions_loss: 38.9986 - 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- ETA: 44s - loss: 39.3574 - logits_profile_predictions_loss: 39.0466 - logcount_predictions_loss: 0.3108 303/362 [========================>.....] - ETA: 43s - loss: 39.3709 - logits_profile_predictions_loss: 39.0601 - logcount_predictions_loss: 0.3109 304/362 [========================>.....] - ETA: 42s - loss: 39.3708 - logits_profile_predictions_loss: 39.0600 - logcount_predictions_loss: 0.3107 305/362 [========================>.....] - ETA: 42s - loss: 39.3644 - logits_profile_predictions_loss: 39.0537 - logcount_predictions_loss: 0.3107 306/362 [========================>.....] - ETA: 41s - loss: 39.3437 - logits_profile_predictions_loss: 39.0332 - logcount_predictions_loss: 0.3105 307/362 [========================>.....] - ETA: 40s - loss: 39.3361 - logits_profile_predictions_loss: 39.0258 - logcount_predictions_loss: 0.3104 308/362 [========================>.....] - ETA: 40s - loss: 39.3158 - logits_profile_predictions_loss: 39.0054 - logcount_predictions_loss: 0.3104 309/362 [========================>.....] - ETA: 39s - loss: 39.3139 - logits_profile_predictions_loss: 39.0037 - logcount_predictions_loss: 0.3102 310/362 [========================>.....] - ETA: 38s - loss: 39.3090 - logits_profile_predictions_loss: 38.9989 - logcount_predictions_loss: 0.3101 311/362 [========================>.....] - ETA: 37s - loss: 39.3047 - logits_profile_predictions_loss: 38.9947 - logcount_predictions_loss: 0.3100 312/362 [========================>.....] - ETA: 37s - loss: 39.2902 - logits_profile_predictions_loss: 38.9803 - logcount_predictions_loss: 0.3099 313/362 [========================>.....] - ETA: 36s - loss: 39.3099 - logits_profile_predictions_loss: 39.0003 - logcount_predictions_loss: 0.3096 314/362 [=========================>....] - ETA: 35s - loss: 39.3055 - logits_profile_predictions_loss: 38.9961 - logcount_predictions_loss: 0.3094 315/362 [=========================>....] - ETA: 34s - loss: 39.3157 - logits_profile_predictions_loss: 39.0062 - 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logits_profile_predictions_loss: 38.9911 - logcount_predictions_loss: 0.3091 323/362 [=========================>....] - ETA: 28s - loss: 39.2933 - logits_profile_predictions_loss: 38.9844 - logcount_predictions_loss: 0.3090 324/362 [=========================>....] - ETA: 28s - loss: 39.3028 - logits_profile_predictions_loss: 38.9940 - logcount_predictions_loss: 0.3089 325/362 [=========================>....] - ETA: 27s - loss: 39.3096 - logits_profile_predictions_loss: 39.0010 - logcount_predictions_loss: 0.3086 326/362 [==========================>...] - ETA: 26s - loss: 39.3319 - logits_profile_predictions_loss: 39.0236 - logcount_predictions_loss: 0.3084 327/362 [==========================>...] - ETA: 25s - loss: 39.3276 - logits_profile_predictions_loss: 39.0195 - logcount_predictions_loss: 0.3081 328/362 [==========================>...] - ETA: 25s - loss: 39.3183 - logits_profile_predictions_loss: 39.0103 - logcount_predictions_loss: 0.3080 329/362 [==========================>...] - ETA: 24s - loss: 39.2973 - logits_profile_predictions_loss: 38.9891 - logcount_predictions_loss: 0.3082 330/362 [==========================>...] - ETA: 23s - loss: 39.3217 - logits_profile_predictions_loss: 39.0133 - logcount_predictions_loss: 0.3084 331/362 [==========================>...] - ETA: 23s - loss: 39.3286 - logits_profile_predictions_loss: 39.0203 - logcount_predictions_loss: 0.3083 332/362 [==========================>...] - ETA: 22s - loss: 39.3182 - logits_profile_predictions_loss: 39.0099 - logcount_predictions_loss: 0.3084 333/362 [==========================>...] - ETA: 21s - loss: 39.3146 - logits_profile_predictions_loss: 39.0062 - logcount_predictions_loss: 0.3084 334/362 [==========================>...] - ETA: 20s - loss: 39.3107 - logits_profile_predictions_loss: 39.0023 - logcount_predictions_loss: 0.3084 335/362 [==========================>...] - ETA: 20s - loss: 39.3256 - logits_profile_predictions_loss: 39.0175 - logcount_predictions_loss: 0.3082 336/362 [==========================>...] - ETA: 19s - loss: 39.3369 - logits_profile_predictions_loss: 39.0290 - logcount_predictions_loss: 0.3079 337/362 [==========================>...] - ETA: 18s - loss: 39.3368 - logits_profile_predictions_loss: 39.0290 - logcount_predictions_loss: 0.3079 338/362 [===========================>..] - ETA: 17s - loss: 39.3214 - logits_profile_predictions_loss: 39.0132 - logcount_predictions_loss: 0.3082 339/362 [===========================>..] - ETA: 17s - loss: 39.3224 - logits_profile_predictions_loss: 39.0143 - logcount_predictions_loss: 0.3081 340/362 [===========================>..] - ETA: 16s - loss: 39.3277 - logits_profile_predictions_loss: 39.0199 - logcount_predictions_loss: 0.3078 341/362 [===========================>..] - ETA: 15s - loss: 39.3162 - logits_profile_predictions_loss: 39.0084 - logcount_predictions_loss: 0.3078 342/362 [===========================>..] - ETA: 14s - loss: 39.3081 - logits_profile_predictions_loss: 39.0002 - logcount_predictions_loss: 0.3079 343/362 [===========================>..] - ETA: 14s - loss: 39.3124 - logits_profile_predictions_loss: 39.0044 - logcount_predictions_loss: 0.3080 344/362 [===========================>..] - ETA: 13s - loss: 39.3085 - logits_profile_predictions_loss: 39.0007 - logcount_predictions_loss: 0.3078 345/362 [===========================>..] - ETA: 12s - loss: 39.3084 - logits_profile_predictions_loss: 39.0009 - logcount_predictions_loss: 0.3076 346/362 [===========================>..] - ETA: 11s - loss: 39.3080 - logits_profile_predictions_loss: 39.0005 - logcount_predictions_loss: 0.3075 347/362 [===========================>..] - ETA: 11s - loss: 39.3008 - logits_profile_predictions_loss: 38.9935 - logcount_predictions_loss: 0.3073 348/362 [===========================>..] - ETA: 10s - loss: 39.3126 - logits_profile_predictions_loss: 39.0055 - logcount_predictions_loss: 0.3071 349/362 [===========================>..] - ETA: 9s - loss: 39.3169 - logits_profile_predictions_loss: 39.0101 - logcount_predictions_loss: 0.3069  350/362 [============================>.] - ETA: 8s - loss: 39.3130 - logits_profile_predictions_loss: 39.0064 - logcount_predictions_loss: 0.3066 351/362 [============================>.] - ETA: 8s - loss: 39.3172 - logits_profile_predictions_loss: 39.0107 - logcount_predictions_loss: 0.3066 352/362 [============================>.] - ETA: 7s - loss: 39.3130 - logits_profile_predictions_loss: 39.0065 - logcount_predictions_loss: 0.3065 353/362 [============================>.] - ETA: 6s - loss: 39.3154 - logits_profile_predictions_loss: 39.0089 - logcount_predictions_loss: 0.3065 354/362 [============================>.] - ETA: 5s - loss: 39.3152 - logits_profile_predictions_loss: 39.0090 - logcount_predictions_loss: 0.3062 355/362 [============================>.] - ETA: 5s - loss: 39.3083 - logits_profile_predictions_loss: 39.0023 - logcount_predictions_loss: 0.3060 356/362 [============================>.] - ETA: 4s - loss: 39.3109 - logits_profile_predictions_loss: 39.0051 - logcount_predictions_loss: 0.3059 357/362 [============================>.] - ETA: 3s - loss: 39.2932 - logits_profile_predictions_loss: 38.9876 - logcount_predictions_loss: 0.3056 358/362 [============================>.] - ETA: 2s - loss: 39.2952 - logits_profile_predictions_loss: 38.9899 - logcount_predictions_loss: 0.3053 359/362 [============================>.] - ETA: 2s - loss: 39.2860 - logits_profile_predictions_loss: 38.9807 - logcount_predictions_loss: 0.3053 360/362 [============================>.] - ETA: 1s - loss: 39.2760 - logits_profile_predictions_loss: 38.9709 - logcount_predictions_loss: 0.3051 361/362 [============================>.] - ETA: 0s - loss: 39.2676 - logits_profile_predictions_loss: 38.9627 - logcount_predictions_loss: 0.3049 362/362 [==============================] - ETA: 0s - loss: 39.2681 - logits_profile_predictions_loss: 38.9632 - logcount_predictions_loss: 0.3049 Epoch 9: val_loss did not improve from 48.01624  362/362 [==============================] - 289s 799ms/step - loss: 39.2681 - logits_profile_predictions_loss: 38.9632 - logcount_predictions_loss: 0.3049 - val_loss: 48.4253 - val_logits_profile_predictions_loss: 48.0168 - val_logcount_predictions_loss: 0.4085 Epoch 10/50 1/362 [..............................] - ETA: 4:21 - loss: 41.0608 - logits_profile_predictions_loss: 40.7283 - logcount_predictions_loss: 0.3325 2/362 [..............................] - ETA: 4:17 - loss: 38.3389 - logits_profile_predictions_loss: 38.0187 - logcount_predictions_loss: 0.3202 3/362 [..............................] - ETA: 4:16 - loss: 36.1097 - logits_profile_predictions_loss: 35.8316 - logcount_predictions_loss: 0.2782 4/362 [..............................] - ETA: 4:16 - loss: 35.7245 - logits_profile_predictions_loss: 35.4490 - logcount_predictions_loss: 0.2754 5/362 [..............................] - ETA: 4:15 - loss: 36.5286 - logits_profile_predictions_loss: 36.2633 - logcount_predictions_loss: 0.2653 6/362 [..............................] - ETA: 4:14 - loss: 36.3985 - logits_profile_predictions_loss: 36.1295 - logcount_predictions_loss: 0.2689 7/362 [..............................] - ETA: 4:14 - loss: 36.3910 - logits_profile_predictions_loss: 36.1295 - logcount_predictions_loss: 0.2615 8/362 [..............................] - ETA: 4:13 - loss: 36.7282 - logits_profile_predictions_loss: 36.4635 - logcount_predictions_loss: 0.2647 9/362 [..............................] - ETA: 4:12 - loss: 37.1388 - logits_profile_predictions_loss: 36.8857 - logcount_predictions_loss: 0.2531 10/362 [..............................] - ETA: 4:11 - loss: 38.4932 - logits_profile_predictions_loss: 38.2366 - logcount_predictions_loss: 0.2565 11/362 [..............................] - ETA: 4:11 - loss: 38.2209 - logits_profile_predictions_loss: 37.9687 - logcount_predictions_loss: 0.2522 12/362 [..............................] - ETA: 4:10 - loss: 38.7206 - logits_profile_predictions_loss: 38.4715 - logcount_predictions_loss: 0.2491 13/362 [>.............................] - ETA: 4:09 - loss: 38.6955 - logits_profile_predictions_loss: 38.4433 - logcount_predictions_loss: 0.2522 14/362 [>.............................] - ETA: 4:09 - loss: 38.5498 - logits_profile_predictions_loss: 38.2973 - logcount_predictions_loss: 0.2524 15/362 [>.............................] - ETA: 4:09 - loss: 38.4272 - logits_profile_predictions_loss: 38.1716 - logcount_predictions_loss: 0.2556 16/362 [>.............................] - ETA: 4:08 - loss: 38.0613 - logits_profile_predictions_loss: 37.8058 - logcount_predictions_loss: 0.2555 17/362 [>.............................] - ETA: 4:07 - loss: 38.3318 - logits_profile_predictions_loss: 38.0755 - logcount_predictions_loss: 0.2564 18/362 [>.............................] - ETA: 4:07 - loss: 38.4200 - logits_profile_predictions_loss: 38.1644 - logcount_predictions_loss: 0.2557 19/362 [>.............................] - ETA: 4:06 - loss: 38.7574 - logits_profile_predictions_loss: 38.5002 - logcount_predictions_loss: 0.2572 20/362 [>.............................] - ETA: 4:05 - loss: 38.6821 - logits_profile_predictions_loss: 38.4263 - logcount_predictions_loss: 0.2558 21/362 [>.............................] - ETA: 4:04 - loss: 38.5374 - logits_profile_predictions_loss: 38.2819 - logcount_predictions_loss: 0.2555 22/362 [>.............................] - ETA: 4:04 - loss: 38.5734 - logits_profile_predictions_loss: 38.3156 - logcount_predictions_loss: 0.2578 23/362 [>.............................] - ETA: 4:03 - loss: 38.7290 - logits_profile_predictions_loss: 38.4726 - logcount_predictions_loss: 0.2564 24/362 [>.............................] - ETA: 4:02 - loss: 38.8051 - logits_profile_predictions_loss: 38.5452 - logcount_predictions_loss: 0.2599 25/362 [=>............................] - ETA: 4:02 - loss: 38.7750 - logits_profile_predictions_loss: 38.5180 - logcount_predictions_loss: 0.2570 26/362 [=>............................] - ETA: 4:01 - loss: 38.6995 - logits_profile_predictions_loss: 38.4434 - logcount_predictions_loss: 0.2561 27/362 [=>............................] - ETA: 4:00 - loss: 38.7360 - logits_profile_predictions_loss: 38.4796 - logcount_predictions_loss: 0.2565 28/362 [=>............................] - ETA: 4:00 - loss: 38.6719 - logits_profile_predictions_loss: 38.4144 - logcount_predictions_loss: 0.2575 29/362 [=>............................] - ETA: 3:59 - loss: 38.6399 - logits_profile_predictions_loss: 38.3783 - logcount_predictions_loss: 0.2615 30/362 [=>............................] - ETA: 3:58 - loss: 38.6118 - logits_profile_predictions_loss: 38.3525 - logcount_predictions_loss: 0.2593 31/362 [=>............................] - ETA: 3:57 - loss: 38.6763 - logits_profile_predictions_loss: 38.4160 - logcount_predictions_loss: 0.2604 32/362 [=>............................] - ETA: 3:57 - loss: 38.6881 - logits_profile_predictions_loss: 38.4290 - logcount_predictions_loss: 0.2591 33/362 [=>............................] - ETA: 3:56 - loss: 38.6524 - logits_profile_predictions_loss: 38.3947 - logcount_predictions_loss: 0.2577 34/362 [=>............................] - ETA: 3:55 - loss: 38.5709 - logits_profile_predictions_loss: 38.3109 - logcount_predictions_loss: 0.2600 35/362 [=>............................] - ETA: 3:55 - loss: 38.5765 - logits_profile_predictions_loss: 38.3177 - logcount_predictions_loss: 0.2588 36/362 [=>............................] - ETA: 3:54 - loss: 38.7988 - logits_profile_predictions_loss: 38.5367 - logcount_predictions_loss: 0.2622 37/362 [==>...........................] - ETA: 3:53 - loss: 38.7707 - logits_profile_predictions_loss: 38.5069 - logcount_predictions_loss: 0.2638 38/362 [==>...........................] - ETA: 3:53 - loss: 38.6987 - logits_profile_predictions_loss: 38.4341 - logcount_predictions_loss: 0.2646 39/362 [==>...........................] - ETA: 3:52 - loss: 38.6856 - logits_profile_predictions_loss: 38.4210 - logcount_predictions_loss: 0.2646 40/362 [==>...........................] - ETA: 3:51 - loss: 38.7642 - logits_profile_predictions_loss: 38.5005 - logcount_predictions_loss: 0.2636 41/362 [==>...........................] - ETA: 3:50 - loss: 38.7990 - logits_profile_predictions_loss: 38.5366 - logcount_predictions_loss: 0.2625 42/362 [==>...........................] - ETA: 3:50 - loss: 38.8999 - logits_profile_predictions_loss: 38.6344 - logcount_predictions_loss: 0.2655 43/362 [==>...........................] - ETA: 3:49 - loss: 38.7061 - logits_profile_predictions_loss: 38.4393 - logcount_predictions_loss: 0.2668 44/362 [==>...........................] - ETA: 3:49 - loss: 38.6676 - logits_profile_predictions_loss: 38.3996 - logcount_predictions_loss: 0.2680 45/362 [==>...........................] - ETA: 3:48 - loss: 38.5125 - logits_profile_predictions_loss: 38.2449 - logcount_predictions_loss: 0.2676 46/362 [==>...........................] - ETA: 3:47 - loss: 38.5774 - logits_profile_predictions_loss: 38.3114 - logcount_predictions_loss: 0.2661 47/362 [==>...........................] - ETA: 3:47 - loss: 38.5137 - logits_profile_predictions_loss: 38.2492 - logcount_predictions_loss: 0.2645 48/362 [==>...........................] - ETA: 3:46 - loss: 38.5408 - logits_profile_predictions_loss: 38.2755 - logcount_predictions_loss: 0.2653 49/362 [===>..........................] - ETA: 3:45 - loss: 38.4289 - logits_profile_predictions_loss: 38.1626 - logcount_predictions_loss: 0.2664 50/362 [===>..........................] - ETA: 3:45 - loss: 38.3625 - logits_profile_predictions_loss: 38.0943 - logcount_predictions_loss: 0.2682 51/362 [===>..........................] - ETA: 3:44 - loss: 38.3366 - logits_profile_predictions_loss: 38.0685 - logcount_predictions_loss: 0.2681 52/362 [===>..........................] - ETA: 3:43 - loss: 38.3614 - logits_profile_predictions_loss: 38.0925 - logcount_predictions_loss: 0.2689 53/362 [===>..........................] - ETA: 3:43 - loss: 38.2382 - logits_profile_predictions_loss: 37.9696 - logcount_predictions_loss: 0.2685 54/362 [===>..........................] - ETA: 3:42 - loss: 38.3308 - logits_profile_predictions_loss: 38.0611 - logcount_predictions_loss: 0.2697 55/362 [===>..........................] - ETA: 3:42 - loss: 38.3669 - logits_profile_predictions_loss: 38.0966 - logcount_predictions_loss: 0.2703 56/362 [===>..........................] - ETA: 3:41 - loss: 38.3615 - logits_profile_predictions_loss: 38.0909 - logcount_predictions_loss: 0.2706 57/362 [===>..........................] - ETA: 3:40 - loss: 38.3866 - logits_profile_predictions_loss: 38.1144 - logcount_predictions_loss: 0.2723 58/362 [===>..........................] - ETA: 3:40 - loss: 38.4104 - logits_profile_predictions_loss: 38.1377 - logcount_predictions_loss: 0.2727 59/362 [===>..........................] - ETA: 3:39 - loss: 38.4104 - logits_profile_predictions_loss: 38.1376 - logcount_predictions_loss: 0.2728 60/362 [===>..........................] - ETA: 3:38 - loss: 38.4286 - logits_profile_predictions_loss: 38.1546 - logcount_predictions_loss: 0.2741 61/362 [====>.........................] - ETA: 3:37 - loss: 38.4481 - logits_profile_predictions_loss: 38.1743 - logcount_predictions_loss: 0.2738 62/362 [====>.........................] - ETA: 3:37 - loss: 38.4725 - logits_profile_predictions_loss: 38.1992 - logcount_predictions_loss: 0.2733 63/362 [====>.........................] - ETA: 3:36 - loss: 38.4643 - logits_profile_predictions_loss: 38.1895 - logcount_predictions_loss: 0.2748 64/362 [====>.........................] - ETA: 3:36 - loss: 38.4935 - logits_profile_predictions_loss: 38.2181 - logcount_predictions_loss: 0.2753 65/362 [====>.........................] - ETA: 3:35 - loss: 38.5282 - logits_profile_predictions_loss: 38.2519 - logcount_predictions_loss: 0.2763 66/362 [====>.........................] - ETA: 3:34 - loss: 38.5049 - logits_profile_predictions_loss: 38.2283 - logcount_predictions_loss: 0.2766 67/362 [====>.........................] - ETA: 3:33 - loss: 38.5172 - logits_profile_predictions_loss: 38.2407 - logcount_predictions_loss: 0.2765 68/362 [====>.........................] - ETA: 3:33 - loss: 38.4914 - logits_profile_predictions_loss: 38.2134 - logcount_predictions_loss: 0.2780 69/362 [====>.........................] - ETA: 3:30 - loss: 38.4929 - logits_profile_predictions_loss: 38.2152 - logcount_predictions_loss: 0.2777 70/362 [====>.........................] - ETA: 3:29 - loss: 38.5522 - logits_profile_predictions_loss: 38.2746 - logcount_predictions_loss: 0.2776 71/362 [====>.........................] - ETA: 3:29 - loss: 38.4995 - logits_profile_predictions_loss: 38.2217 - logcount_predictions_loss: 0.2778 72/362 [====>.........................] - ETA: 3:28 - loss: 38.4683 - logits_profile_predictions_loss: 38.1913 - logcount_predictions_loss: 0.2770 73/362 [=====>........................] - ETA: 3:27 - loss: 38.4524 - logits_profile_predictions_loss: 38.1748 - logcount_predictions_loss: 0.2776 74/362 [=====>........................] - ETA: 3:27 - loss: 38.4175 - logits_profile_predictions_loss: 38.1403 - logcount_predictions_loss: 0.2772 75/362 [=====>........................] - ETA: 3:26 - loss: 38.4290 - logits_profile_predictions_loss: 38.1525 - logcount_predictions_loss: 0.2765 76/362 [=====>........................] - ETA: 3:26 - loss: 38.4487 - logits_profile_predictions_loss: 38.1730 - logcount_predictions_loss: 0.2757 77/362 [=====>........................] - ETA: 3:25 - loss: 38.4339 - logits_profile_predictions_loss: 38.1587 - logcount_predictions_loss: 0.2752 78/362 [=====>........................] - ETA: 3:24 - loss: 38.4596 - logits_profile_predictions_loss: 38.1837 - logcount_predictions_loss: 0.2759 79/362 [=====>........................] - ETA: 3:24 - loss: 38.4572 - logits_profile_predictions_loss: 38.1818 - logcount_predictions_loss: 0.2753 80/362 [=====>........................] - ETA: 3:23 - loss: 38.4697 - logits_profile_predictions_loss: 38.1937 - logcount_predictions_loss: 0.2760 81/362 [=====>........................] - ETA: 3:22 - loss: 38.4758 - logits_profile_predictions_loss: 38.2006 - logcount_predictions_loss: 0.2752 82/362 [=====>........................] - ETA: 3:21 - loss: 38.4682 - logits_profile_predictions_loss: 38.1926 - logcount_predictions_loss: 0.2756 83/362 [=====>........................] - ETA: 3:21 - loss: 38.4469 - logits_profile_predictions_loss: 38.1717 - logcount_predictions_loss: 0.2752 84/362 [=====>........................] - ETA: 3:20 - loss: 38.4886 - logits_profile_predictions_loss: 38.2135 - logcount_predictions_loss: 0.2751 85/362 [======>.......................] - ETA: 3:20 - loss: 38.4930 - logits_profile_predictions_loss: 38.2177 - logcount_predictions_loss: 0.2753 86/362 [======>.......................] - ETA: 3:19 - loss: 38.4715 - logits_profile_predictions_loss: 38.1960 - logcount_predictions_loss: 0.2755 87/362 [======>.......................] - ETA: 3:18 - loss: 38.4782 - logits_profile_predictions_loss: 38.2025 - logcount_predictions_loss: 0.2757 88/362 [======>.......................] - ETA: 3:17 - loss: 38.4606 - logits_profile_predictions_loss: 38.1844 - logcount_predictions_loss: 0.2763 89/362 [======>.......................] - ETA: 3:17 - loss: 38.4561 - logits_profile_predictions_loss: 38.1799 - logcount_predictions_loss: 0.2762 90/362 [======>.......................] - ETA: 3:16 - loss: 38.4544 - logits_profile_predictions_loss: 38.1770 - logcount_predictions_loss: 0.2774 91/362 [======>.......................] - ETA: 3:15 - loss: 38.4381 - logits_profile_predictions_loss: 38.1605 - logcount_predictions_loss: 0.2777 92/362 [======>.......................] - ETA: 3:15 - loss: 38.4433 - logits_profile_predictions_loss: 38.1666 - logcount_predictions_loss: 0.2768 93/362 [======>.......................] - ETA: 3:14 - loss: 38.3820 - logits_profile_predictions_loss: 38.1057 - logcount_predictions_loss: 0.2764 94/362 [======>.......................] - ETA: 3:13 - loss: 38.3737 - logits_profile_predictions_loss: 38.0990 - logcount_predictions_loss: 0.2748 95/362 [======>.......................] - ETA: 3:13 - loss: 38.3443 - logits_profile_predictions_loss: 38.0699 - logcount_predictions_loss: 0.2743 96/362 [======>.......................] - ETA: 3:12 - loss: 38.3357 - logits_profile_predictions_loss: 38.0613 - logcount_predictions_loss: 0.2745 97/362 [=======>......................] - ETA: 3:11 - loss: 38.3455 - logits_profile_predictions_loss: 38.0715 - logcount_predictions_loss: 0.2741 98/362 [=======>......................] - ETA: 3:11 - loss: 38.3450 - logits_profile_predictions_loss: 38.0707 - logcount_predictions_loss: 0.2743 99/362 [=======>......................] - ETA: 3:10 - loss: 38.2660 - logits_profile_predictions_loss: 37.9922 - logcount_predictions_loss: 0.2738 100/362 [=======>......................] - ETA: 3:09 - loss: 38.2717 - logits_profile_predictions_loss: 37.9971 - logcount_predictions_loss: 0.2745 101/362 [=======>......................] - ETA: 3:09 - loss: 38.3152 - logits_profile_predictions_loss: 38.0392 - logcount_predictions_loss: 0.2760 102/362 [=======>......................] - ETA: 3:08 - loss: 38.3057 - logits_profile_predictions_loss: 38.0295 - logcount_predictions_loss: 0.2762 103/362 [=======>......................] - ETA: 3:07 - loss: 38.2880 - logits_profile_predictions_loss: 38.0113 - logcount_predictions_loss: 0.2766 104/362 [=======>......................] - ETA: 3:07 - loss: 38.2642 - logits_profile_predictions_loss: 37.9868 - logcount_predictions_loss: 0.2774 105/362 [=======>......................] - ETA: 3:06 - loss: 38.2862 - logits_profile_predictions_loss: 38.0085 - logcount_predictions_loss: 0.2778 106/362 [=======>......................] - ETA: 3:05 - loss: 38.3083 - logits_profile_predictions_loss: 38.0291 - logcount_predictions_loss: 0.2793 107/362 [=======>......................] - ETA: 3:04 - loss: 38.3196 - logits_profile_predictions_loss: 38.0400 - logcount_predictions_loss: 0.2796 108/362 [=======>......................] - ETA: 3:04 - loss: 38.3140 - logits_profile_predictions_loss: 38.0344 - logcount_predictions_loss: 0.2796 109/362 [========>.....................] - ETA: 3:03 - loss: 38.3243 - logits_profile_predictions_loss: 38.0439 - logcount_predictions_loss: 0.2805 110/362 [========>.....................] - ETA: 3:02 - loss: 38.3219 - logits_profile_predictions_loss: 38.0413 - logcount_predictions_loss: 0.2806 111/362 [========>.....................] - ETA: 3:02 - loss: 38.3022 - logits_profile_predictions_loss: 38.0219 - logcount_predictions_loss: 0.2803 112/362 [========>.....................] - ETA: 3:01 - loss: 38.2772 - logits_profile_predictions_loss: 37.9970 - logcount_predictions_loss: 0.2802 113/362 [========>.....................] - ETA: 3:00 - loss: 38.2901 - logits_profile_predictions_loss: 38.0090 - logcount_predictions_loss: 0.2811 114/362 [========>.....................] - ETA: 3:00 - loss: 38.2243 - logits_profile_predictions_loss: 37.9433 - logcount_predictions_loss: 0.2810 115/362 [========>.....................] - ETA: 2:59 - loss: 38.2271 - logits_profile_predictions_loss: 37.9465 - logcount_predictions_loss: 0.2806 116/362 [========>.....................] - ETA: 2:58 - loss: 38.2615 - logits_profile_predictions_loss: 37.9797 - logcount_predictions_loss: 0.2818 117/362 [========>.....................] - ETA: 2:58 - loss: 38.2367 - logits_profile_predictions_loss: 37.9552 - logcount_predictions_loss: 0.2815 118/362 [========>.....................] - ETA: 2:57 - loss: 38.1932 - logits_profile_predictions_loss: 37.9115 - logcount_predictions_loss: 0.2817 119/362 [========>.....................] - ETA: 2:56 - loss: 38.2361 - logits_profile_predictions_loss: 37.9536 - logcount_predictions_loss: 0.2825 120/362 [========>.....................] - ETA: 2:56 - loss: 38.2751 - logits_profile_predictions_loss: 37.9925 - logcount_predictions_loss: 0.2826 121/362 [=========>....................] - ETA: 2:55 - loss: 38.2817 - logits_profile_predictions_loss: 37.9997 - logcount_predictions_loss: 0.2819 122/362 [=========>....................] - ETA: 2:54 - loss: 38.2563 - logits_profile_predictions_loss: 37.9740 - logcount_predictions_loss: 0.2823 123/362 [=========>....................] - ETA: 2:54 - loss: 38.2751 - logits_profile_predictions_loss: 37.9919 - logcount_predictions_loss: 0.2832 124/362 [=========>....................] - ETA: 2:53 - loss: 38.2738 - logits_profile_predictions_loss: 37.9912 - logcount_predictions_loss: 0.2826 125/362 [=========>....................] - ETA: 2:52 - loss: 38.2828 - logits_profile_predictions_loss: 38.0003 - logcount_predictions_loss: 0.2824 126/362 [=========>....................] - ETA: 2:52 - loss: 38.3088 - logits_profile_predictions_loss: 38.0265 - logcount_predictions_loss: 0.2823 127/362 [=========>....................] - ETA: 2:51 - loss: 38.2726 - logits_profile_predictions_loss: 37.9894 - logcount_predictions_loss: 0.2832 128/362 [=========>....................] - ETA: 2:50 - loss: 38.2748 - logits_profile_predictions_loss: 37.9920 - logcount_predictions_loss: 0.2829 129/362 [=========>....................] - ETA: 2:49 - loss: 38.2438 - logits_profile_predictions_loss: 37.9611 - logcount_predictions_loss: 0.2827 130/362 [=========>....................] - ETA: 2:49 - loss: 38.2208 - logits_profile_predictions_loss: 37.9378 - logcount_predictions_loss: 0.2830 131/362 [=========>....................] - ETA: 2:48 - loss: 38.1846 - logits_profile_predictions_loss: 37.9018 - logcount_predictions_loss: 0.2828 132/362 [=========>....................] - ETA: 2:47 - loss: 38.1902 - logits_profile_predictions_loss: 37.9075 - logcount_predictions_loss: 0.2828 133/362 [==========>...................] - ETA: 2:47 - loss: 38.1639 - logits_profile_predictions_loss: 37.8815 - 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[=======================>......] - ETA: 50s - loss: 38.7860 - logits_profile_predictions_loss: 38.5008 - logcount_predictions_loss: 0.2852 295/362 [=======================>......] - ETA: 49s - loss: 38.8099 - logits_profile_predictions_loss: 38.5246 - logcount_predictions_loss: 0.2853 296/362 [=======================>......] - ETA: 48s - loss: 38.8163 - logits_profile_predictions_loss: 38.5312 - logcount_predictions_loss: 0.2851 297/362 [=======================>......] - ETA: 48s - loss: 38.8281 - logits_profile_predictions_loss: 38.5428 - logcount_predictions_loss: 0.2853 298/362 [=======================>......] - ETA: 47s - loss: 38.8433 - logits_profile_predictions_loss: 38.5576 - logcount_predictions_loss: 0.2857 299/362 [=======================>......] - ETA: 46s - loss: 38.8347 - logits_profile_predictions_loss: 38.5491 - logcount_predictions_loss: 0.2856 300/362 [=======================>......] - ETA: 46s - loss: 38.8451 - logits_profile_predictions_loss: 38.5599 - logcount_predictions_loss: 0.2853 301/362 [=======================>......] - ETA: 45s - loss: 38.8289 - logits_profile_predictions_loss: 38.5437 - logcount_predictions_loss: 0.2852 302/362 [========================>.....] - ETA: 44s - loss: 38.8257 - logits_profile_predictions_loss: 38.5405 - logcount_predictions_loss: 0.2852 303/362 [========================>.....] - ETA: 43s - loss: 38.8208 - logits_profile_predictions_loss: 38.5357 - logcount_predictions_loss: 0.2851 304/362 [========================>.....] - ETA: 43s - loss: 38.8259 - logits_profile_predictions_loss: 38.5409 - logcount_predictions_loss: 0.2850 305/362 [========================>.....] - ETA: 42s - loss: 38.8448 - logits_profile_predictions_loss: 38.5596 - logcount_predictions_loss: 0.2851 306/362 [========================>.....] - ETA: 41s - loss: 38.8380 - logits_profile_predictions_loss: 38.5528 - logcount_predictions_loss: 0.2852 307/362 [========================>.....] - ETA: 40s - loss: 38.8444 - logits_profile_predictions_loss: 38.5590 - logcount_predictions_loss: 0.2854 308/362 [========================>.....] - ETA: 40s - loss: 38.8653 - logits_profile_predictions_loss: 38.5799 - logcount_predictions_loss: 0.2854 309/362 [========================>.....] - ETA: 39s - loss: 38.8772 - logits_profile_predictions_loss: 38.5918 - logcount_predictions_loss: 0.2854 310/362 [========================>.....] - ETA: 38s - loss: 38.8782 - logits_profile_predictions_loss: 38.5922 - logcount_predictions_loss: 0.2860 311/362 [========================>.....] - ETA: 37s - loss: 38.8860 - logits_profile_predictions_loss: 38.6001 - logcount_predictions_loss: 0.2859 312/362 [========================>.....] - ETA: 37s - loss: 38.8847 - logits_profile_predictions_loss: 38.5989 - logcount_predictions_loss: 0.2859 313/362 [========================>.....] - ETA: 36s - loss: 38.8907 - logits_profile_predictions_loss: 38.6048 - logcount_predictions_loss: 0.2859 314/362 [=========================>....] - ETA: 35s - loss: 38.8871 - logits_profile_predictions_loss: 38.6014 - logcount_predictions_loss: 0.2857 315/362 [=========================>....] - ETA: 34s - loss: 38.8728 - logits_profile_predictions_loss: 38.5870 - logcount_predictions_loss: 0.2858 316/362 [=========================>....] - ETA: 34s - loss: 38.8896 - logits_profile_predictions_loss: 38.6039 - logcount_predictions_loss: 0.2857 317/362 [=========================>....] - ETA: 33s - loss: 38.8778 - logits_profile_predictions_loss: 38.5920 - logcount_predictions_loss: 0.2857 318/362 [=========================>....] - ETA: 32s - loss: 38.8784 - logits_profile_predictions_loss: 38.5925 - logcount_predictions_loss: 0.2859 319/362 [=========================>....] - ETA: 31s - loss: 38.8971 - logits_profile_predictions_loss: 38.6109 - logcount_predictions_loss: 0.2862 320/362 [=========================>....] - ETA: 31s - loss: 38.9162 - logits_profile_predictions_loss: 38.6298 - logcount_predictions_loss: 0.2864 321/362 [=========================>....] - ETA: 30s - loss: 38.9230 - logits_profile_predictions_loss: 38.6366 - logcount_predictions_loss: 0.2864 322/362 [=========================>....] - ETA: 29s - loss: 38.9195 - logits_profile_predictions_loss: 38.6335 - logcount_predictions_loss: 0.2860 323/362 [=========================>....] - ETA: 28s - loss: 38.9432 - logits_profile_predictions_loss: 38.6573 - logcount_predictions_loss: 0.2859 324/362 [=========================>....] - ETA: 28s - loss: 38.9461 - logits_profile_predictions_loss: 38.6602 - logcount_predictions_loss: 0.2859 325/362 [=========================>....] - ETA: 27s - loss: 38.9337 - logits_profile_predictions_loss: 38.6476 - logcount_predictions_loss: 0.2861 326/362 [==========================>...] - ETA: 26s - loss: 38.9350 - logits_profile_predictions_loss: 38.6492 - logcount_predictions_loss: 0.2858 327/362 [==========================>...] - ETA: 25s - loss: 38.9583 - logits_profile_predictions_loss: 38.6725 - logcount_predictions_loss: 0.2859 328/362 [==========================>...] - ETA: 25s - loss: 38.9518 - logits_profile_predictions_loss: 38.6663 - logcount_predictions_loss: 0.2856 329/362 [==========================>...] - ETA: 24s - loss: 38.9705 - logits_profile_predictions_loss: 38.6851 - logcount_predictions_loss: 0.2854 330/362 [==========================>...] - ETA: 23s - loss: 38.9538 - logits_profile_predictions_loss: 38.6684 - logcount_predictions_loss: 0.2854 331/362 [==========================>...] - ETA: 23s - loss: 38.9564 - logits_profile_predictions_loss: 38.6710 - logcount_predictions_loss: 0.2855 332/362 [==========================>...] - ETA: 22s - loss: 38.9528 - logits_profile_predictions_loss: 38.6675 - logcount_predictions_loss: 0.2853 333/362 [==========================>...] - ETA: 21s - loss: 38.9597 - logits_profile_predictions_loss: 38.6741 - logcount_predictions_loss: 0.2856 334/362 [==========================>...] - ETA: 20s - loss: 38.9489 - logits_profile_predictions_loss: 38.6634 - logcount_predictions_loss: 0.2856 335/362 [==========================>...] - ETA: 20s - loss: 38.9449 - logits_profile_predictions_loss: 38.6593 - logcount_predictions_loss: 0.2856 336/362 [==========================>...] - ETA: 19s - loss: 38.9440 - logits_profile_predictions_loss: 38.6584 - logcount_predictions_loss: 0.2856 337/362 [==========================>...] - ETA: 18s - loss: 38.9211 - logits_profile_predictions_loss: 38.6350 - logcount_predictions_loss: 0.2862 338/362 [===========================>..] - ETA: 17s - loss: 38.9167 - logits_profile_predictions_loss: 38.6306 - logcount_predictions_loss: 0.2861 339/362 [===========================>..] - ETA: 17s - loss: 38.9198 - logits_profile_predictions_loss: 38.6337 - logcount_predictions_loss: 0.2861 340/362 [===========================>..] - ETA: 16s - loss: 38.9158 - logits_profile_predictions_loss: 38.6298 - logcount_predictions_loss: 0.2861 341/362 [===========================>..] - ETA: 15s - loss: 38.9385 - logits_profile_predictions_loss: 38.6523 - logcount_predictions_loss: 0.2862 342/362 [===========================>..] - ETA: 14s - loss: 38.9415 - logits_profile_predictions_loss: 38.6553 - logcount_predictions_loss: 0.2863 343/362 [===========================>..] - ETA: 14s - loss: 38.9331 - logits_profile_predictions_loss: 38.6470 - logcount_predictions_loss: 0.2861 344/362 [===========================>..] - ETA: 13s - loss: 38.9346 - logits_profile_predictions_loss: 38.6488 - logcount_predictions_loss: 0.2858 345/362 [===========================>..] - ETA: 12s - loss: 38.9329 - logits_profile_predictions_loss: 38.6470 - logcount_predictions_loss: 0.2860 346/362 [===========================>..] - ETA: 11s - loss: 38.9387 - logits_profile_predictions_loss: 38.6526 - logcount_predictions_loss: 0.2860 347/362 [===========================>..] - ETA: 11s - loss: 38.9449 - logits_profile_predictions_loss: 38.6587 - logcount_predictions_loss: 0.2862 348/362 [===========================>..] - ETA: 10s - loss: 38.9444 - logits_profile_predictions_loss: 38.6583 - logcount_predictions_loss: 0.2861 349/362 [===========================>..] - ETA: 9s - loss: 38.9455 - logits_profile_predictions_loss: 38.6596 - logcount_predictions_loss: 0.2860  350/362 [============================>.] - ETA: 8s - loss: 38.9346 - logits_profile_predictions_loss: 38.6488 - logcount_predictions_loss: 0.2857 351/362 [============================>.] - ETA: 8s - loss: 38.9282 - logits_profile_predictions_loss: 38.6422 - logcount_predictions_loss: 0.2860 352/362 [============================>.] - ETA: 7s - loss: 38.9329 - logits_profile_predictions_loss: 38.6470 - logcount_predictions_loss: 0.2859 353/362 [============================>.] - ETA: 6s - loss: 38.9379 - logits_profile_predictions_loss: 38.6521 - logcount_predictions_loss: 0.2858 354/362 [============================>.] - ETA: 5s - loss: 38.9430 - logits_profile_predictions_loss: 38.6570 - logcount_predictions_loss: 0.2860 355/362 [============================>.] - ETA: 5s - loss: 38.9400 - logits_profile_predictions_loss: 38.6541 - logcount_predictions_loss: 0.2859 356/362 [============================>.] - ETA: 4s - loss: 38.9446 - logits_profile_predictions_loss: 38.6587 - logcount_predictions_loss: 0.2859 357/362 [============================>.] - ETA: 3s - loss: 38.9420 - logits_profile_predictions_loss: 38.6562 - logcount_predictions_loss: 0.2858 358/362 [============================>.] - ETA: 2s - loss: 38.9425 - logits_profile_predictions_loss: 38.6567 - logcount_predictions_loss: 0.2858 359/362 [============================>.] - ETA: 2s - loss: 38.9475 - logits_profile_predictions_loss: 38.6618 - logcount_predictions_loss: 0.2858 360/362 [============================>.] - ETA: 1s - loss: 38.9430 - logits_profile_predictions_loss: 38.6576 - logcount_predictions_loss: 0.2854 361/362 [============================>.] - ETA: 0s - loss: 38.9393 - logits_profile_predictions_loss: 38.6540 - logcount_predictions_loss: 0.2853 362/362 [==============================] - ETA: 0s - loss: 38.9413 - logits_profile_predictions_loss: 38.6559 - logcount_predictions_loss: 0.2854 Epoch 10: val_loss did not improve from 48.01624 Restoring model weights from the end of the best epoch: 5.  362/362 [==============================] - 290s 800ms/step - loss: 38.9413 - logits_profile_predictions_loss: 38.6559 - logcount_predictions_loss: 0.2854 - val_loss: 48.6784 - val_logits_profile_predictions_loss: 48.4041 - val_logcount_predictions_loss: 0.2743 Epoch 10: early stopping save model save model without bias got the model loading peaks... got split:test for bed regions:(6172, 10) 0/97 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 1/97 [..............................] - ETA: 31s 2/97 [..............................] - ETA: 21s 3/97 [..............................] - ETA: 21s 4/97 [>.............................] - ETA: 21s 5/97 [>.............................] - ETA: 20s 6/97 [>.............................] - ETA: 20s 7/97 [=>............................] - ETA: 20s 8/97 [=>............................] - ETA: 20s 9/97 [=>............................] - ETA: 19s 10/97 [==>...........................] - ETA: 19s 11/97 [==>...........................] - ETA: 19s 12/97 [==>...........................] - ETA: 19s 13/97 [===>..........................] - ETA: 19s 14/97 [===>..........................] - ETA: 18s 15/97 [===>..........................] - ETA: 18s 16/97 [===>..........................] - ETA: 18s 17/97 [====>.........................] - ETA: 18s 18/97 [====>.........................] - ETA: 17s 19/97 [====>.........................] - ETA: 17s 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[..............................] - ETA: 21s 4/97 [>.............................] - ETA: 21s 5/97 [>.............................] - ETA: 20s 6/97 [>.............................] - ETA: 20s 7/97 [=>............................] - ETA: 20s 8/97 [=>............................] - ETA: 20s 9/97 [=>............................] - ETA: 19s 10/97 [==>...........................] - ETA: 19s 11/97 [==>...........................] - ETA: 19s 12/97 [==>...........................] - ETA: 19s 13/97 [===>..........................] - ETA: 19s 14/97 [===>..........................] - ETA: 18s 15/97 [===>..........................] - ETA: 18s 16/97 [===>..........................] - ETA: 18s 17/97 [====>.........................] - ETA: 18s 18/97 [====>.........................] - ETA: 17s 19/97 [====>.........................] - ETA: 17s 20/97 [=====>........................] - ETA: 17s 21/97 [=====>........................] - ETA: 17s 22/97 [=====>........................] - ETA: 17s 23/97 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[=========================>....] - ETA: 2s 86/97 [=========================>....] - ETA: 2s 87/97 [=========================>....] - ETA: 2s 88/97 [==========================>...] - ETA: 2s 89/97 [==========================>...] - ETA: 1s 90/97 [==========================>...] - ETA: 1s 91/97 [===========================>..] - ETA: 1s 92/97 [===========================>..] - ETA: 1s 93/97 [===========================>..] - ETA: 0s 94/97 [============================>.] - ETA: 0s 95/97 [============================>.] - ETA: 0s 96/97 [============================>.] - ETA: 0s 97/97 [==============================] - ETA: 0s 97/97 [==============================] - 22s 228ms/step inserting motif: tn5_2 GTGCACAGTTCTAGAGTGTGCAG 1/97 [..............................] - ETA: 2s 2/97 [..............................] - ETA: 22s 3/97 [..............................] - ETA: 21s 4/97 [>.............................] - ETA: 21s 5/97 [>.............................] - ETA: 20s 6/97 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[====================>.........] - ETA: 6s 69/97 [====================>.........] - ETA: 6s 70/97 [====================>.........] - ETA: 6s 71/97 [====================>.........] - ETA: 5s 72/97 [=====================>........] - ETA: 5s 73/97 [=====================>........] - ETA: 5s 74/97 [=====================>........] - ETA: 5s 75/97 [======================>.......] - ETA: 5s 76/97 [======================>.......] - ETA: 4s 77/97 [======================>.......] - ETA: 4s 78/97 [=======================>......] - ETA: 4s 79/97 [=======================>......] - ETA: 4s 80/97 [=======================>......] - ETA: 3s 81/97 [========================>.....] - ETA: 3s 82/97 [========================>.....] - ETA: 3s 83/97 [========================>.....] - ETA: 3s 84/97 [========================>.....] - ETA: 2s 85/97 [=========================>....] - ETA: 2s 86/97 [=========================>....] - ETA: 2s 87/97 [=========================>....] - ETA: 2s 88/97 [==========================>...] - ETA: 2s 89/97 [==========================>...] - ETA: 1s 90/97 [==========================>...] - ETA: 1s 91/97 [===========================>..] - ETA: 1s 92/97 [===========================>..] - ETA: 1s 93/97 [===========================>..] - ETA: 0s 94/97 [============================>.] - ETA: 0s 95/97 [============================>.] - ETA: 0s 96/97 [============================>.] - ETA: 0s 97/97 [==============================] - ETA: 0s 97/97 [==============================] - 22s 228ms/step inserting motif: tn5_3 CCTCTACACTGTGCAGAA 1/97 [..............................] - ETA: 2s 2/97 [..............................] - ETA: 21s 3/97 [..............................] - ETA: 21s 4/97 [>.............................] - ETA: 20s 5/97 [>.............................] - ETA: 20s 6/97 [>.............................] - ETA: 20s 7/97 [=>............................] - ETA: 20s 8/97 [=>............................] - ETA: 20s 9/97 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[==============================] - ETA: 0s 97/97 [==============================] - 22s 228ms/step Saving marginal footprints got the model Model: "model_1" __________________________________________________________________________________________________ Layer (type) Output Shape Param # Connected to ================================================================================================== sequence (InputLayer) [(None, 2114, 4)] 0 [] wo_bias_bpnet_1st_conv (Conv1D (None, 2094, 512) 43520 ['sequence[0][0]'] ) wo_bias_bpnet_1conv (Conv1D) (None, 2090, 512) 786944 ['wo_bias_bpnet_1st_conv[0][0]'] wo_bias_bpnet_1crop (Cropping1 (None, 2090, 512) 0 ['wo_bias_bpnet_1st_conv[0][0]'] D) add (Add) (None, 2090, 512) 0 ['wo_bias_bpnet_1conv[0][0]', 'wo_bias_bpnet_1crop[0][0]'] wo_bias_bpnet_2conv (Conv1D) (None, 2082, 512) 786944 ['add[0][0]'] wo_bias_bpnet_2crop (Cropping1 (None, 2082, 512) 0 ['add[0][0]'] D) add_1 (Add) (None, 2082, 512) 0 ['wo_bias_bpnet_2conv[0][0]', 'wo_bias_bpnet_2crop[0][0]'] wo_bias_bpnet_3conv (Conv1D) (None, 2066, 512) 786944 ['add_1[0][0]'] wo_bias_bpnet_3crop (Cropping1 (None, 2066, 512) 0 ['add_1[0][0]'] D) add_2 (Add) (None, 2066, 512) 0 ['wo_bias_bpnet_3conv[0][0]', 'wo_bias_bpnet_3crop[0][0]'] wo_bias_bpnet_4conv (Conv1D) (None, 2034, 512) 786944 ['add_2[0][0]'] wo_bias_bpnet_4crop (Cropping1 (None, 2034, 512) 0 ['add_2[0][0]'] D) add_3 (Add) (None, 2034, 512) 0 ['wo_bias_bpnet_4conv[0][0]', 'wo_bias_bpnet_4crop[0][0]'] wo_bias_bpnet_5conv (Conv1D) (None, 1970, 512) 786944 ['add_3[0][0]'] wo_bias_bpnet_5crop (Cropping1 (None, 1970, 512) 0 ['add_3[0][0]'] D) add_4 (Add) (None, 1970, 512) 0 ['wo_bias_bpnet_5conv[0][0]', 'wo_bias_bpnet_5crop[0][0]'] wo_bias_bpnet_6conv (Conv1D) (None, 1842, 512) 786944 ['add_4[0][0]'] wo_bias_bpnet_6crop (Cropping1 (None, 1842, 512) 0 ['add_4[0][0]'] D) add_5 (Add) (None, 1842, 512) 0 ['wo_bias_bpnet_6conv[0][0]', 'wo_bias_bpnet_6crop[0][0]'] wo_bias_bpnet_7conv (Conv1D) (None, 1586, 512) 786944 ['add_5[0][0]'] wo_bias_bpnet_7crop (Cropping1 (None, 1586, 512) 0 ['add_5[0][0]'] D) add_6 (Add) (None, 1586, 512) 0 ['wo_bias_bpnet_7conv[0][0]', 'wo_bias_bpnet_7crop[0][0]'] wo_bias_bpnet_8conv (Conv1D) (None, 1074, 512) 786944 ['add_6[0][0]'] wo_bias_bpnet_8crop (Cropping1 (None, 1074, 512) 0 ['add_6[0][0]'] D) add_7 (Add) (None, 1074, 512) 0 ['wo_bias_bpnet_8conv[0][0]', 'wo_bias_bpnet_8crop[0][0]'] wo_bias_bpnet_prof_out_precrop (None, 1000, 1) 38401 ['add_7[0][0]'] (Conv1D) wo_bias_bpnet_logitt_before_fl (None, 1000, 1) 0 ['wo_bias_bpnet_prof_out_precrop[ atten (Cropping1D) 0][0]'] gap (GlobalAveragePooling1D) (None, 512) 0 ['add_7[0][0]'] wo_bias_bpnet_logits_profile_p (None, 1000) 0 ['wo_bias_bpnet_logitt_before_fla redictions (Flatten) tten[0][0]'] wo_bias_bpnet_logcount_predict (None, 1) 513 ['gap[0][0]'] ions (Dense) ================================================================================================== Total params: 6,377,986 Trainable params: 6,377,986 Non-trainable params: 0 __________________________________________________________________________________________________ inferred model inputlen: 2114 Seqs dimension : (30000, 2114, 4) Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: StopGradient used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Generating 'profile' shap scores Done 0 examples of 30000 Done 100 examples of 30000 Done 200 examples of 30000 Done 300 examples of 30000 Done 400 examples of 30000 Done 500 examples of 30000 Done 600 examples of 30000 Done 700 examples of 30000 Done 800 examples of 30000 Done 900 examples of 30000 Done 1000 examples of 30000 Done 1100 examples of 30000 Done 1200 examples of 30000 Done 1300 examples of 30000 Done 1400 examples of 30000 Done 1500 examples of 30000 Done 1600 examples of 30000 Done 1700 examples of 30000 Done 1800 examples of 30000 Done 1900 examples of 30000 Done 2000 examples of 30000 Done 2100 examples of 30000 Done 2200 examples of 30000 Done 2300 examples of 30000 Done 2400 examples of 30000 Done 2500 examples of 30000 Done 2600 examples of 30000 Done 2700 examples of 30000 Done 2800 examples of 30000 Done 2900 examples of 30000 Done 3000 examples of 30000 Done 3100 examples of 30000 Done 3200 examples of 30000 Done 3300 examples of 30000 Done 3400 examples of 30000 Done 3500 examples of 30000 Done 3600 examples of 30000 Done 3700 examples of 30000 Done 3800 examples of 30000 Done 3900 examples of 30000 Done 4000 examples of 30000 Done 4100 examples of 30000 Done 4200 examples of 30000 Done 4300 examples of 30000 Done 4400 examples of 30000 Done 4500 examples of 30000 Done 4600 examples of 30000 Done 4700 examples of 30000 Done 4800 examples of 30000 Done 4900 examples of 30000 Done 5000 examples of 30000 Done 5100 examples of 30000 Done 5200 examples of 30000 Done 5300 examples of 30000 Done 5400 examples of 30000 Done 5500 examples of 30000 Done 5600 examples of 30000 Done 5700 examples of 30000 Done 5800 examples of 30000 Done 5900 examples of 30000 Done 6000 examples of 30000 Done 6100 examples of 30000 Done 6200 examples of 30000 Done 6300 examples of 30000 Done 6400 examples of 30000 Done 6500 examples of 30000 Done 6600 examples of 30000 Done 6700 examples of 30000 Done 6800 examples of 30000 Done 6900 examples of 30000 Done 7000 examples of 30000 Done 7100 examples of 30000 Done 7200 examples of 30000 Done 7300 examples of 30000 Done 7400 examples of 30000 Done 7500 examples of 30000 Done 7600 examples of 30000 Done 7700 examples of 30000 Done 7800 examples of 30000 Done 7900 examples of 30000 Done 8000 examples of 30000 Done 8100 examples of 30000 Done 8200 examples of 30000 Done 8300 examples of 30000 Done 8400 examples of 30000 Done 8500 examples of 30000 Done 8600 examples of 30000 Done 8700 examples of 30000 Done 8800 examples of 30000 Done 8900 examples of 30000 Done 9000 examples of 30000 Done 9100 examples of 30000 Done 9200 examples of 30000 Done 9300 examples of 30000 Done 9400 examples of 30000 Done 9500 examples of 30000 Done 9600 examples of 30000 Done 9700 examples of 30000 Done 9800 examples of 30000 Done 9900 examples of 30000 Done 10000 examples of 30000 Done 10100 examples of 30000 Done 10200 examples of 30000 Done 10300 examples of 30000 Done 10400 examples of 30000 Done 10500 examples of 30000 Done 10600 examples of 30000 Done 10700 examples of 30000 Done 10800 examples of 30000 Done 10900 examples of 30000 Done 11000 examples of 30000 Done 11100 examples of 30000 Done 11200 examples of 30000 Done 11300 examples of 30000 Done 11400 examples of 30000 Done 11500 examples of 30000 Done 11600 examples of 30000 Done 11700 examples of 30000 Done 11800 examples of 30000 Done 11900 examples of 30000 Done 12000 examples of 30000 Done 12100 examples of 30000 Done 12200 examples of 30000 Done 12300 examples of 30000 Done 12400 examples of 30000 Done 12500 examples of 30000 Done 12600 examples of 30000 Done 12700 examples of 30000 Done 12800 examples of 30000 Done 12900 examples of 30000 Done 13000 examples of 30000 Done 13100 examples of 30000 Done 13200 examples of 30000 Done 13300 examples of 30000 Done 13400 examples of 30000 Done 13500 examples of 30000 Done 13600 examples of 30000 Done 13700 examples of 30000 Done 13800 examples of 30000 Done 13900 examples of 30000 Done 14000 examples of 30000 Done 14100 examples of 30000 Done 14200 examples of 30000 Done 14300 examples of 30000 Done 14400 examples of 30000 Done 14500 examples of 30000 Done 14600 examples of 30000 Done 14700 examples of 30000 Done 14800 examples of 30000 Done 14900 examples of 30000 Done 15000 examples of 30000 Done 15100 examples of 30000 Done 15200 examples of 30000 Done 15300 examples of 30000 Done 15400 examples of 30000 Done 15500 examples of 30000 Done 15600 examples of 30000 Done 15700 examples of 30000 Done 15800 examples of 30000 Done 15900 examples of 30000 Done 16000 examples of 30000 Done 16100 examples of 30000 Done 16200 examples of 30000 Done 16300 examples of 30000 Done 16400 examples of 30000 Done 16500 examples of 30000 Done 16600 examples of 30000 Done 16700 examples of 30000 Done 16800 examples of 30000 Done 16900 examples of 30000 Done 17000 examples of 30000 Done 17100 examples of 30000 Done 17200 examples of 30000 Done 17300 examples of 30000 Done 17400 examples of 30000 Done 17500 examples of 30000 Done 17600 examples of 30000 Done 17700 examples of 30000 Done 17800 examples of 30000 Done 17900 examples of 30000 Done 18000 examples of 30000 Done 18100 examples of 30000 Done 18200 examples of 30000 Done 18300 examples of 30000 Done 18400 examples of 30000 Done 18500 examples of 30000 Done 18600 examples of 30000 Done 18700 examples of 30000 Done 18800 examples of 30000 Done 18900 examples of 30000 Done 19000 examples of 30000 Done 19100 examples of 30000 Done 19200 examples of 30000 Done 19300 examples of 30000 Done 19400 examples of 30000 Done 19500 examples of 30000 Done 19600 examples of 30000 Done 19700 examples of 30000 Done 19800 examples of 30000 Done 19900 examples of 30000 Done 20000 examples of 30000 Done 20100 examples of 30000 Done 20200 examples of 30000 Done 20300 examples of 30000 Done 20400 examples of 30000 Done 20500 examples of 30000 Done 20600 examples of 30000 Done 20700 examples of 30000 Done 20800 examples of 30000 Done 20900 examples of 30000 Done 21000 examples of 30000 Done 21100 examples of 30000 Done 21200 examples of 30000 Done 21300 examples of 30000 Done 21400 examples of 30000 Done 21500 examples of 30000 Done 21600 examples of 30000 Done 21700 examples of 30000 Done 21800 examples of 30000 Done 21900 examples of 30000 Done 22000 examples of 30000 Done 22100 examples of 30000 Done 22200 examples of 30000 Done 22300 examples of 30000 Done 22400 examples of 30000 Done 22500 examples of 30000 Done 22600 examples of 30000 Done 22700 examples of 30000 Done 22800 examples of 30000 Done 22900 examples of 30000 Done 23000 examples of 30000 Done 23100 examples of 30000 Done 23200 examples of 30000 Done 23300 examples of 30000 Done 23400 examples of 30000 Done 23500 examples of 30000 Done 23600 examples of 30000 Done 23700 examples of 30000 Done 23800 examples of 30000 Done 23900 examples of 30000 Done 24000 examples of 30000 Done 24100 examples of 30000 Done 24200 examples of 30000 Done 24300 examples of 30000 Done 24400 examples of 30000 Done 24500 examples of 30000 Done 24600 examples of 30000 Done 24700 examples of 30000 Done 24800 examples of 30000 Done 24900 examples of 30000 Done 25000 examples of 30000 Done 25100 examples of 30000 Done 25200 examples of 30000 Done 25300 examples of 30000 Done 25400 examples of 30000 Done 25500 examples of 30000 Done 25600 examples of 30000 Done 25700 examples of 30000 Done 25800 examples of 30000 Done 25900 examples of 30000 Done 26000 examples of 30000 Done 26100 examples of 30000 Done 26200 examples of 30000 Done 26300 examples of 30000 Done 26400 examples of 30000 Done 26500 examples of 30000 Done 26600 examples of 30000 Done 26700 examples of 30000 Done 26800 examples of 30000 Done 26900 examples of 30000 Done 27000 examples of 30000 Done 27100 examples of 30000 Done 27200 examples of 30000 Done 27300 examples of 30000 Done 27400 examples of 30000 Done 27500 examples of 30000 Done 27600 examples of 30000 Done 27700 examples of 30000 Done 27800 examples of 30000 Done 27900 examples of 30000 Done 28000 examples of 30000 Done 28100 examples of 30000 Done 28200 examples of 30000 Done 28300 examples of 30000 Done 28400 examples of 30000 Done 28500 examples of 30000 Done 28600 examples of 30000 Done 28700 examples of 30000 Done 28800 examples of 30000 Done 28900 examples of 30000 Done 29000 examples of 30000 Done 29100 examples of 30000 Done 29200 examples of 30000 Done 29300 examples of 30000 Done 29400 examples of 30000 Done 29500 examples of 30000 Done 29600 examples of 30000 Done 29700 examples of 30000 Done 29800 examples of 30000 Done 29900 examples of 30000 Saving 'profile' scores