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: 18027 evaluating hyperparameters on the following chromosomes ['chr1', 'chr2', 'chr3', 'chr5', 'chr6', 'chr8', 'chr9', 'chr10', 'chr13', 'chr14', 'chr16', 'chr17', 'chr18', 'chr19', 'chr20', 'chr21', 'chrX', 'chr22', 'chr7'] Number of peaks input: 16889 Number of peaks filtered because the input/output is on the edge: 0 Number of peaks being used: 16889 Number of peaks input: 3635 Number of peaks filtered because the input/output is on the edge: 0 Number of peaks being used: 3635 Number of non peaks input: 33778 Number of non peaks filtered because the input/output is on the edge: 0 Number of non peaks being used: 33778 Number of non peaks input: 3635 Number of non peaks filtered because the input/output is on the edge: 0 Number of non peaks being used: 3635 Number of peaks after removing outliers: 16887 Number of nonpeaks after removing outliers: 7374 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 1/231 [..............................] - ETA: 7:08 14/231 [>.............................] - ETA: 0s  27/231 [==>...........................] - ETA: 0s 40/231 [====>.........................] - ETA: 0s 53/231 [=====>........................] - ETA: 0s 66/231 [=======>......................] - ETA: 0s 79/231 [=========>....................] - ETA: 0s 92/231 [==========>...................] - ETA: 0s 105/231 [============>.................] - ETA: 0s 118/231 [==============>...............] - ETA: 0s 131/231 [================>.............] - ETA: 0s 144/231 [=================>............] - ETA: 0s 157/231 [===================>..........] - ETA: 0s 170/231 [=====================>........] - ETA: 0s 183/231 [======================>.......] - ETA: 0s 196/231 [========================>.....] - ETA: 0s 209/231 [==========================>...] - ETA: 0s 222/231 [===========================>..] - ETA: 0s 231/231 [==============================] - ETA: 0s 231/231 [==============================] - 3s 4ms/step got the model loading peaks... got split:test for bed regions:(3635, 10) 0/57 Bias model pearsonr performance in peaks is: -0.15 {'counts_loss_weight': '1.0', 'filters': '512', 'n_dil_layers': '8', 'bias_model_path': '/oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.adipocyte.I/fold_2/models/bias_model_scaled.h5', 'inputlen': '2114', 'outputlen': '1000', 'max_jitter': '500', 'chr_fold_path': '/oak/stanford/groups/akundaje/soumyak/refs/hg38/splits/fold_2.json', 'negative_sampling_ratio': '0.1'} got the model loading peaks... got split:train for bed regions:(15432, 10) loading nonpeaks... got split:train for bed regions:(6732, 10) loading peaks... got split:valid for bed regions:(1455, 10) loading nonpeaks... got split:valid for bed regions:(642, 10) Epoch 1/50 1/266 [..............................] - ETA: 18:56 - loss: 32.1638 - logits_profile_predictions_loss: 31.4512 - logcount_predictions_loss: 0.7126 2/266 [..............................] - ETA: 36s - loss: 130.6098 - logits_profile_predictions_loss: 30.1474 - logcount_predictions_loss: 100.4624 3/266 [..............................] - ETA: 35s - loss: 99.2648 - logits_profile_predictions_loss: 31.8727 - logcount_predictions_loss: 67.3921  4/266 [..............................] - ETA: 35s - loss: 83.1247 - logits_profile_predictions_loss: 32.3388 - logcount_predictions_loss: 50.7859 5/266 [..............................] - ETA: 35s - loss: 73.0679 - logits_profile_predictions_loss: 32.2447 - logcount_predictions_loss: 40.8232 6/266 [..............................] - ETA: 35s - loss: 66.2816 - logits_profile_predictions_loss: 32.1166 - logcount_predictions_loss: 34.1650 7/266 [..............................] - ETA: 35s - loss: 61.6196 - logits_profile_predictions_loss: 32.2104 - logcount_predictions_loss: 29.4093 8/266 [..............................] - ETA: 35s - loss: 58.2982 - logits_profile_predictions_loss: 32.4400 - logcount_predictions_loss: 25.8582 9/266 [>.............................] - ETA: 35s - loss: 55.3678 - logits_profile_predictions_loss: 32.2887 - logcount_predictions_loss: 23.0791 10/266 [>.............................] - ETA: 34s - loss: 53.1734 - logits_profile_predictions_loss: 32.3039 - logcount_predictions_loss: 20.8695 11/266 [>.............................] - ETA: 34s - loss: 51.3392 - logits_profile_predictions_loss: 32.2863 - logcount_predictions_loss: 19.0529 12/266 [>.............................] - ETA: 34s - loss: 49.5401 - logits_profile_predictions_loss: 32.0132 - logcount_predictions_loss: 17.5269 13/266 [>.............................] - ETA: 34s - loss: 48.1545 - logits_profile_predictions_loss: 31.9126 - logcount_predictions_loss: 16.2420 14/266 [>.............................] - ETA: 34s - loss: 47.3098 - logits_profile_predictions_loss: 32.1531 - logcount_predictions_loss: 15.1567 15/266 [>.............................] - ETA: 34s - loss: 46.4961 - logits_profile_predictions_loss: 32.2707 - logcount_predictions_loss: 14.2254 16/266 [>.............................] - ETA: 34s - loss: 45.8470 - logits_profile_predictions_loss: 32.4464 - logcount_predictions_loss: 13.4006 17/266 [>.............................] - ETA: 33s - loss: 44.8367 - logits_profile_predictions_loss: 32.1807 - logcount_predictions_loss: 12.6559 18/266 [=>............................] - ETA: 33s - loss: 44.1511 - logits_profile_predictions_loss: 32.1497 - logcount_predictions_loss: 12.0015 19/266 [=>............................] - ETA: 33s - loss: 43.7604 - logits_profile_predictions_loss: 32.3278 - logcount_predictions_loss: 11.4326 20/266 [=>............................] - ETA: 33s - loss: 42.9520 - logits_profile_predictions_loss: 32.0591 - logcount_predictions_loss: 10.8929 21/266 [=>............................] - ETA: 33s - loss: 42.4551 - logits_profile_predictions_loss: 32.0369 - logcount_predictions_loss: 10.4182 22/266 [=>............................] - ETA: 33s - loss: 41.8012 - logits_profile_predictions_loss: 31.8257 - logcount_predictions_loss: 9.9756  23/266 [=>............................] - ETA: 33s - loss: 41.3491 - logits_profile_predictions_loss: 31.7674 - logcount_predictions_loss: 9.5818 24/266 [=>............................] - ETA: 32s - loss: 40.9416 - logits_profile_predictions_loss: 31.7227 - logcount_predictions_loss: 9.2189 25/266 [=>............................] - ETA: 32s - loss: 40.6035 - logits_profile_predictions_loss: 31.7185 - logcount_predictions_loss: 8.8850 26/266 [=>............................] - ETA: 32s - loss: 40.3626 - logits_profile_predictions_loss: 31.7805 - logcount_predictions_loss: 8.5821 27/266 [==>...........................] - ETA: 32s - loss: 40.0332 - logits_profile_predictions_loss: 31.7372 - logcount_predictions_loss: 8.2961 28/266 [==>...........................] - ETA: 32s - loss: 39.5789 - logits_profile_predictions_loss: 31.5584 - logcount_predictions_loss: 8.0205 29/266 [==>...........................] - ETA: 32s - loss: 39.3741 - logits_profile_predictions_loss: 31.5946 - logcount_predictions_loss: 7.7794 30/266 [==>...........................] - ETA: 32s - loss: 39.0310 - logits_profile_predictions_loss: 31.4862 - logcount_predictions_loss: 7.5448 31/266 [==>...........................] - ETA: 32s - loss: 38.7756 - logits_profile_predictions_loss: 31.4483 - logcount_predictions_loss: 7.3273 32/266 [==>...........................] - ETA: 31s - loss: 38.6344 - logits_profile_predictions_loss: 31.5045 - logcount_predictions_loss: 7.1299 33/266 [==>...........................] - ETA: 31s - loss: 38.4075 - logits_profile_predictions_loss: 31.4684 - logcount_predictions_loss: 6.9391 34/266 [==>...........................] - ETA: 31s - loss: 38.2027 - logits_profile_predictions_loss: 31.4431 - logcount_predictions_loss: 6.7596 35/266 [==>...........................] - ETA: 31s - loss: 37.9489 - logits_profile_predictions_loss: 31.3613 - logcount_predictions_loss: 6.5876 36/266 [===>..........................] - ETA: 31s - loss: 37.8502 - logits_profile_predictions_loss: 31.4178 - logcount_predictions_loss: 6.4324 37/266 [===>..........................] - ETA: 31s - loss: 37.5839 - logits_profile_predictions_loss: 31.3077 - logcount_predictions_loss: 6.2762 38/266 [===>..........................] - ETA: 31s - loss: 37.5830 - logits_profile_predictions_loss: 31.4403 - logcount_predictions_loss: 6.1428 39/266 [===>..........................] - ETA: 30s - loss: 37.5126 - logits_profile_predictions_loss: 31.5013 - logcount_predictions_loss: 6.0113 40/266 [===>..........................] - ETA: 30s - loss: 37.5442 - logits_profile_predictions_loss: 31.6560 - logcount_predictions_loss: 5.8882 41/266 [===>..........................] - ETA: 30s - loss: 37.3798 - logits_profile_predictions_loss: 31.6146 - logcount_predictions_loss: 5.7652 42/266 [===>..........................] - ETA: 30s - loss: 37.2242 - logits_profile_predictions_loss: 31.5782 - logcount_predictions_loss: 5.6459 43/266 [===>..........................] - ETA: 30s - loss: 36.9988 - logits_profile_predictions_loss: 31.4685 - logcount_predictions_loss: 5.5304 44/266 [===>..........................] - ETA: 30s - loss: 36.8119 - logits_profile_predictions_loss: 31.3918 - logcount_predictions_loss: 5.4201 45/266 [====>.........................] - ETA: 30s - loss: 36.6981 - logits_profile_predictions_loss: 31.3777 - logcount_predictions_loss: 5.3204 46/266 [====>.........................] - ETA: 29s - loss: 36.7617 - logits_profile_predictions_loss: 31.5283 - logcount_predictions_loss: 5.2333 47/266 [====>.........................] - ETA: 29s - loss: 36.6494 - logits_profile_predictions_loss: 31.5096 - logcount_predictions_loss: 5.1399 48/266 [====>.........................] - ETA: 29s - loss: 36.4957 - logits_profile_predictions_loss: 31.4460 - logcount_predictions_loss: 5.0497 49/266 [====>.........................] - ETA: 29s - loss: 36.3940 - logits_profile_predictions_loss: 31.4287 - logcount_predictions_loss: 4.9653 50/266 [====>.........................] - ETA: 29s - loss: 36.2580 - logits_profile_predictions_loss: 31.3775 - logcount_predictions_loss: 4.8805 51/266 [====>.........................] - ETA: 29s - loss: 36.1188 - logits_profile_predictions_loss: 31.3191 - logcount_predictions_loss: 4.7997 52/266 [====>.........................] - ETA: 29s - loss: 35.9434 - logits_profile_predictions_loss: 31.2231 - logcount_predictions_loss: 4.7203 53/266 [====>.........................] - ETA: 29s - loss: 35.8517 - logits_profile_predictions_loss: 31.2025 - logcount_predictions_loss: 4.6491 54/266 [=====>........................] - ETA: 28s - loss: 35.8492 - logits_profile_predictions_loss: 31.2662 - logcount_predictions_loss: 4.5829 55/266 [=====>........................] - ETA: 28s - loss: 35.8859 - logits_profile_predictions_loss: 31.3636 - logcount_predictions_loss: 4.5223 56/266 [=====>........................] - ETA: 28s - loss: 35.8074 - logits_profile_predictions_loss: 31.3486 - logcount_predictions_loss: 4.4589 57/266 [=====>........................] - ETA: 28s - loss: 35.7695 - logits_profile_predictions_loss: 31.3719 - logcount_predictions_loss: 4.3976 58/266 [=====>........................] - ETA: 28s - loss: 35.6649 - logits_profile_predictions_loss: 31.3297 - logcount_predictions_loss: 4.3352 59/266 [=====>........................] - ETA: 28s - loss: 35.5762 - logits_profile_predictions_loss: 31.3016 - logcount_predictions_loss: 4.2746 60/266 [=====>........................] - ETA: 28s - loss: 35.5708 - logits_profile_predictions_loss: 31.3499 - logcount_predictions_loss: 4.2210 61/266 [=====>........................] - ETA: 27s - loss: 35.5563 - logits_profile_predictions_loss: 31.3884 - logcount_predictions_loss: 4.1679 62/266 [=====>........................] - ETA: 27s - loss: 35.4401 - logits_profile_predictions_loss: 31.3268 - logcount_predictions_loss: 4.1133 63/266 [======>.......................] - ETA: 27s - loss: 35.3811 - logits_profile_predictions_loss: 31.3190 - logcount_predictions_loss: 4.0621 64/266 [======>.......................] - ETA: 27s - loss: 35.2878 - logits_profile_predictions_loss: 31.2775 - logcount_predictions_loss: 4.0103 65/266 [======>.......................] - ETA: 27s - loss: 35.2345 - logits_profile_predictions_loss: 31.2723 - logcount_predictions_loss: 3.9622 66/266 [======>.......................] - ETA: 27s - loss: 35.1879 - logits_profile_predictions_loss: 31.2729 - logcount_predictions_loss: 3.9150 67/266 [======>.......................] - ETA: 27s - loss: 35.0867 - logits_profile_predictions_loss: 31.2192 - logcount_predictions_loss: 3.8675 68/266 [======>.......................] - ETA: 26s - loss: 35.0693 - logits_profile_predictions_loss: 31.2461 - logcount_predictions_loss: 3.8233 69/266 [======>.......................] - ETA: 26s - loss: 34.9806 - logits_profile_predictions_loss: 31.2007 - logcount_predictions_loss: 3.7799 70/266 [======>.......................] - ETA: 26s - loss: 34.9222 - logits_profile_predictions_loss: 31.1836 - logcount_predictions_loss: 3.7386 71/266 [=======>......................] - ETA: 26s - loss: 34.8919 - logits_profile_predictions_loss: 31.1932 - logcount_predictions_loss: 3.6987 72/266 [=======>......................] - ETA: 26s - loss: 34.8586 - logits_profile_predictions_loss: 31.1970 - logcount_predictions_loss: 3.6616 73/266 [=======>......................] - ETA: 26s - loss: 34.7634 - logits_profile_predictions_loss: 31.1426 - logcount_predictions_loss: 3.6207 74/266 [=======>......................] - ETA: 26s - loss: 34.7468 - logits_profile_predictions_loss: 31.1632 - logcount_predictions_loss: 3.5837 75/266 [=======>......................] - ETA: 26s - loss: 34.6692 - logits_profile_predictions_loss: 31.1233 - logcount_predictions_loss: 3.5459 76/266 [=======>......................] - ETA: 25s - loss: 34.6790 - logits_profile_predictions_loss: 31.1656 - logcount_predictions_loss: 3.5134 77/266 [=======>......................] - ETA: 25s - loss: 34.6396 - logits_profile_predictions_loss: 31.1604 - logcount_predictions_loss: 3.4793 78/266 [=======>......................] - ETA: 25s - loss: 34.6215 - logits_profile_predictions_loss: 31.1745 - logcount_predictions_loss: 3.4470 79/266 [=======>......................] - ETA: 25s - loss: 34.5711 - logits_profile_predictions_loss: 31.1568 - logcount_predictions_loss: 3.4143 80/266 [========>.....................] - ETA: 25s - loss: 34.5286 - logits_profile_predictions_loss: 31.1468 - logcount_predictions_loss: 3.3818 81/266 [========>.....................] - ETA: 25s - loss: 34.4617 - logits_profile_predictions_loss: 31.1136 - logcount_predictions_loss: 3.3481 82/266 [========>.....................] - ETA: 25s - loss: 34.4770 - logits_profile_predictions_loss: 31.1570 - logcount_predictions_loss: 3.3200 83/266 [========>.....................] - ETA: 24s - loss: 34.4281 - logits_profile_predictions_loss: 31.1381 - logcount_predictions_loss: 3.2900 84/266 [========>.....................] - ETA: 24s - loss: 34.4012 - logits_profile_predictions_loss: 31.1409 - logcount_predictions_loss: 3.2603 85/266 [========>.....................] - ETA: 24s - loss: 34.3666 - logits_profile_predictions_loss: 31.1336 - logcount_predictions_loss: 3.2331 86/266 [========>.....................] - ETA: 24s - loss: 34.2885 - logits_profile_predictions_loss: 31.0848 - logcount_predictions_loss: 3.2037 87/266 [========>.....................] - ETA: 24s - loss: 34.2305 - logits_profile_predictions_loss: 31.0541 - logcount_predictions_loss: 3.1764 88/266 [========>.....................] - ETA: 24s - loss: 34.1563 - logits_profile_predictions_loss: 31.0088 - logcount_predictions_loss: 3.1474 89/266 [=========>....................] - ETA: 24s - loss: 34.1544 - logits_profile_predictions_loss: 31.0314 - logcount_predictions_loss: 3.1230 90/266 [=========>....................] - ETA: 23s - loss: 34.1174 - logits_profile_predictions_loss: 31.0205 - logcount_predictions_loss: 3.0970 91/266 [=========>....................] - ETA: 23s - loss: 34.1068 - logits_profile_predictions_loss: 31.0328 - logcount_predictions_loss: 3.0740 92/266 [=========>....................] - ETA: 23s - loss: 34.0685 - logits_profile_predictions_loss: 31.0179 - logcount_predictions_loss: 3.0506 93/266 [=========>....................] - ETA: 23s - loss: 34.0907 - logits_profile_predictions_loss: 31.0606 - logcount_predictions_loss: 3.0301 94/266 [=========>....................] - ETA: 23s - loss: 34.1053 - logits_profile_predictions_loss: 31.0971 - logcount_predictions_loss: 3.0082 95/266 [=========>....................] - ETA: 23s - loss: 34.0785 - logits_profile_predictions_loss: 31.0939 - logcount_predictions_loss: 2.9846 96/266 [=========>....................] - ETA: 23s - loss: 34.0788 - logits_profile_predictions_loss: 31.1155 - logcount_predictions_loss: 2.9633 97/266 [=========>....................] - ETA: 23s - loss: 34.0157 - logits_profile_predictions_loss: 31.0759 - logcount_predictions_loss: 2.9399 98/266 [==========>...................] - ETA: 22s - loss: 33.9851 - logits_profile_predictions_loss: 31.0653 - logcount_predictions_loss: 2.9198 99/266 [==========>...................] - ETA: 22s - loss: 33.9287 - logits_profile_predictions_loss: 31.0315 - logcount_predictions_loss: 2.8972 100/266 [==========>...................] - ETA: 22s - loss: 33.9315 - logits_profile_predictions_loss: 31.0531 - logcount_predictions_loss: 2.8783 101/266 [==========>...................] - ETA: 22s - loss: 33.9404 - logits_profile_predictions_loss: 31.0807 - logcount_predictions_loss: 2.8597 102/266 [==========>...................] - ETA: 22s - loss: 33.9487 - logits_profile_predictions_loss: 31.1066 - logcount_predictions_loss: 2.8421 103/266 [==========>...................] - ETA: 22s - loss: 33.8993 - logits_profile_predictions_loss: 31.0786 - logcount_predictions_loss: 2.8207 104/266 [==========>...................] - ETA: 22s - loss: 33.8532 - logits_profile_predictions_loss: 31.0521 - logcount_predictions_loss: 2.8011 105/266 [==========>...................] - ETA: 21s - loss: 33.8457 - logits_profile_predictions_loss: 31.0615 - logcount_predictions_loss: 2.7842 106/266 [==========>...................] - ETA: 21s - loss: 33.8184 - logits_profile_predictions_loss: 31.0522 - logcount_predictions_loss: 2.7662 107/266 [===========>..................] - ETA: 21s - loss: 33.7750 - logits_profile_predictions_loss: 31.0271 - logcount_predictions_loss: 2.7479 108/266 [===========>..................] - ETA: 21s - loss: 33.7551 - logits_profile_predictions_loss: 31.0244 - logcount_predictions_loss: 2.7307 109/266 [===========>..................] - ETA: 21s - loss: 33.7715 - logits_profile_predictions_loss: 31.0556 - logcount_predictions_loss: 2.7159 110/266 [===========>..................] - ETA: 21s - loss: 33.7563 - logits_profile_predictions_loss: 31.0572 - logcount_predictions_loss: 2.6991 111/266 [===========>..................] - ETA: 21s - loss: 33.7421 - logits_profile_predictions_loss: 31.0580 - logcount_predictions_loss: 2.6841 112/266 [===========>..................] - ETA: 20s - loss: 33.7400 - logits_profile_predictions_loss: 31.0713 - logcount_predictions_loss: 2.6688 113/266 [===========>..................] - ETA: 20s - loss: 33.7414 - logits_profile_predictions_loss: 31.0868 - logcount_predictions_loss: 2.6545 114/266 [===========>..................] - ETA: 20s - loss: 33.7302 - logits_profile_predictions_loss: 31.0910 - logcount_predictions_loss: 2.6392 115/266 [===========>..................] - ETA: 20s - loss: 33.7444 - logits_profile_predictions_loss: 31.1176 - logcount_predictions_loss: 2.6267 116/266 [============>.................] - ETA: 20s - loss: 33.7433 - logits_profile_predictions_loss: 31.1310 - logcount_predictions_loss: 2.6123 117/266 [============>.................] - ETA: 20s - loss: 33.7544 - logits_profile_predictions_loss: 31.1552 - logcount_predictions_loss: 2.5992 118/266 [============>.................] - ETA: 20s - loss: 33.7692 - logits_profile_predictions_loss: 31.1836 - logcount_predictions_loss: 2.5856 119/266 [============>.................] - ETA: 20s - loss: 33.7901 - logits_profile_predictions_loss: 31.2168 - logcount_predictions_loss: 2.5733 120/266 [============>.................] - ETA: 19s - loss: 33.7809 - logits_profile_predictions_loss: 31.2216 - logcount_predictions_loss: 2.5593 121/266 [============>.................] - ETA: 19s - loss: 33.7746 - logits_profile_predictions_loss: 31.2280 - logcount_predictions_loss: 2.5466 122/266 [============>.................] - ETA: 19s - loss: 33.7086 - logits_profile_predictions_loss: 31.1783 - logcount_predictions_loss: 2.5303 123/266 [============>.................] - ETA: 19s - loss: 33.6713 - logits_profile_predictions_loss: 31.1553 - logcount_predictions_loss: 2.5160 124/266 [============>.................] - ETA: 19s - loss: 33.6590 - logits_profile_predictions_loss: 31.1562 - logcount_predictions_loss: 2.5029 125/266 [=============>................] - ETA: 19s - loss: 33.6541 - logits_profile_predictions_loss: 31.1635 - logcount_predictions_loss: 2.4906 126/266 [=============>................] - ETA: 19s - loss: 33.6235 - logits_profile_predictions_loss: 31.1455 - logcount_predictions_loss: 2.4780 127/266 [=============>................] - ETA: 18s - loss: 33.6030 - logits_profile_predictions_loss: 31.1381 - logcount_predictions_loss: 2.4649 128/266 [=============>................] 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[====================>.........] - ETA: 10s - loss: 32.9965 - logits_profile_predictions_loss: 31.0433 - logcount_predictions_loss: 1.9533 190/266 [====================>.........] - ETA: 10s - loss: 32.9875 - logits_profile_predictions_loss: 31.0401 - logcount_predictions_loss: 1.9474 191/266 [====================>.........] - ETA: 10s - loss: 32.9874 - logits_profile_predictions_loss: 31.0450 - logcount_predictions_loss: 1.9424 192/266 [====================>.........] - ETA: 10s - loss: 32.9883 - logits_profile_predictions_loss: 31.0512 - logcount_predictions_loss: 1.9371 193/266 [====================>.........] - ETA: 9s - loss: 32.9805 - logits_profile_predictions_loss: 31.0487 - logcount_predictions_loss: 1.9318  194/266 [====================>.........] - ETA: 9s - loss: 32.9826 - logits_profile_predictions_loss: 31.0557 - logcount_predictions_loss: 1.9270 195/266 [====================>.........] - ETA: 9s - loss: 32.9847 - logits_profile_predictions_loss: 31.0620 - 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[=======================>......] - ETA: 6s - loss: 32.7419 - logits_profile_predictions_loss: 30.9242 - logcount_predictions_loss: 1.8177 217/266 [=======================>......] - ETA: 6s - loss: 32.7391 - logits_profile_predictions_loss: 30.9256 - logcount_predictions_loss: 1.8135 218/266 [=======================>......] - ETA: 6s - loss: 32.7352 - logits_profile_predictions_loss: 30.9260 - logcount_predictions_loss: 1.8092 219/266 [=======================>......] - ETA: 6s - loss: 32.7367 - logits_profile_predictions_loss: 30.9314 - logcount_predictions_loss: 1.8053 220/266 [=======================>......] - ETA: 6s - loss: 32.7396 - logits_profile_predictions_loss: 30.9382 - logcount_predictions_loss: 1.8014 221/266 [=======================>......] - ETA: 6s - loss: 32.7353 - logits_profile_predictions_loss: 30.9381 - logcount_predictions_loss: 1.7973 222/266 [========================>.....] - ETA: 6s - loss: 32.7386 - logits_profile_predictions_loss: 30.9450 - 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[==========================>...] - ETA: 3s - loss: 32.6463 - logits_profile_predictions_loss: 30.9293 - logcount_predictions_loss: 1.7171 244/266 [==========================>...] - ETA: 3s - loss: 32.6362 - logits_profile_predictions_loss: 30.9230 - logcount_predictions_loss: 1.7132 245/266 [==========================>...] - ETA: 2s - loss: 32.6344 - logits_profile_predictions_loss: 30.9249 - logcount_predictions_loss: 1.7096 246/266 [==========================>...] - ETA: 2s - loss: 32.6116 - logits_profile_predictions_loss: 30.9065 - logcount_predictions_loss: 1.7050 247/266 [==========================>...] - ETA: 2s - loss: 32.6095 - logits_profile_predictions_loss: 30.9075 - logcount_predictions_loss: 1.7020 248/266 [==========================>...] - ETA: 2s - loss: 32.6008 - logits_profile_predictions_loss: 30.9029 - logcount_predictions_loss: 1.6979 249/266 [===========================>..] - ETA: 2s - loss: 32.5833 - logits_profile_predictions_loss: 30.8892 - logcount_predictions_loss: 1.6940 250/266 [===========================>..] - ETA: 2s - loss: 32.5817 - logits_profile_predictions_loss: 30.8911 - logcount_predictions_loss: 1.6906 251/266 [===========================>..] - ETA: 2s - loss: 32.5873 - logits_profile_predictions_loss: 30.8998 - logcount_predictions_loss: 1.6876 252/266 [===========================>..] - ETA: 1s - loss: 32.5860 - logits_profile_predictions_loss: 30.9014 - logcount_predictions_loss: 1.6846 253/266 [===========================>..] - ETA: 1s - loss: 32.6090 - logits_profile_predictions_loss: 30.9265 - logcount_predictions_loss: 1.6825 254/266 [===========================>..] - ETA: 1s - loss: 32.5994 - logits_profile_predictions_loss: 30.9202 - logcount_predictions_loss: 1.6792 255/266 [===========================>..] - ETA: 1s - loss: 32.5935 - logits_profile_predictions_loss: 30.9172 - logcount_predictions_loss: 1.6763 256/266 [===========================>..] - ETA: 1s - loss: 32.5910 - logits_profile_predictions_loss: 30.9176 - logcount_predictions_loss: 1.6733 257/266 [===========================>..] - ETA: 1s - loss: 32.5868 - logits_profile_predictions_loss: 30.9161 - logcount_predictions_loss: 1.6707 258/266 [============================>.] - ETA: 1s - loss: 32.5774 - logits_profile_predictions_loss: 30.9099 - logcount_predictions_loss: 1.6675 259/266 [============================>.] - ETA: 0s - loss: 32.6007 - logits_profile_predictions_loss: 30.9348 - logcount_predictions_loss: 1.6659 260/266 [============================>.] - ETA: 0s - loss: 32.6104 - logits_profile_predictions_loss: 30.9467 - logcount_predictions_loss: 1.6637 261/266 [============================>.] - ETA: 0s - loss: 32.6122 - logits_profile_predictions_loss: 30.9513 - logcount_predictions_loss: 1.6609 262/266 [============================>.] - ETA: 0s - loss: 32.5995 - logits_profile_predictions_loss: 30.9422 - logcount_predictions_loss: 1.6572 263/266 [============================>.] - ETA: 0s - loss: 32.5932 - logits_profile_predictions_loss: 30.9392 - logcount_predictions_loss: 1.6539 264/266 [============================>.] - ETA: 0s - loss: 32.6026 - logits_profile_predictions_loss: 30.9509 - logcount_predictions_loss: 1.6517 265/266 [============================>.] - ETA: 0s - loss: 32.6086 - logits_profile_predictions_loss: 30.9595 - logcount_predictions_loss: 1.6492 266/266 [==============================] - ETA: 0s - loss: 32.6007 - logits_profile_predictions_loss: 30.9546 - logcount_predictions_loss: 1.6461 Epoch 1: val_loss improved from inf to 34.12030, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.adipocyte.I/fold_2/models/chrombpnet.h5  266/266 [==============================] - 44s 151ms/step - loss: 32.6007 - logits_profile_predictions_loss: 30.9546 - logcount_predictions_loss: 1.6461 - val_loss: 34.1203 - val_logits_profile_predictions_loss: 33.1619 - val_logcount_predictions_loss: 0.9584 Epoch 2/50 1/266 [..............................] - ETA: 39s - loss: 36.1420 - logits_profile_predictions_loss: 34.9428 - logcount_predictions_loss: 1.1993 2/266 [..............................] - ETA: 35s - loss: 32.2456 - logits_profile_predictions_loss: 31.2875 - logcount_predictions_loss: 0.9582 3/266 [..............................] - ETA: 35s - loss: 31.1340 - logits_profile_predictions_loss: 30.2472 - logcount_predictions_loss: 0.8869 4/266 [..............................] - ETA: 35s - loss: 31.0030 - logits_profile_predictions_loss: 30.1315 - logcount_predictions_loss: 0.8715 5/266 [..............................] - ETA: 35s - loss: 31.0646 - logits_profile_predictions_loss: 30.1693 - logcount_predictions_loss: 0.8953 6/266 [..............................] - ETA: 35s - loss: 31.0404 - logits_profile_predictions_loss: 30.1521 - logcount_predictions_loss: 0.8883 7/266 [..............................] - ETA: 35s - loss: 31.1368 - logits_profile_predictions_loss: 30.2419 - logcount_predictions_loss: 0.8949 8/266 [..............................] - ETA: 35s - loss: 31.4453 - logits_profile_predictions_loss: 30.5377 - logcount_predictions_loss: 0.9076 9/266 [>.............................] - ETA: 34s - loss: 31.3817 - logits_profile_predictions_loss: 30.4882 - logcount_predictions_loss: 0.8936 10/266 [>.............................] - ETA: 34s - loss: 31.3610 - logits_profile_predictions_loss: 30.4734 - logcount_predictions_loss: 0.8876 11/266 [>.............................] - ETA: 34s - loss: 31.7158 - logits_profile_predictions_loss: 30.8110 - logcount_predictions_loss: 0.9048 12/266 [>.............................] - ETA: 34s - loss: 32.1533 - logits_profile_predictions_loss: 31.2287 - logcount_predictions_loss: 0.9246 13/266 [>.............................] - ETA: 34s - loss: 32.0397 - logits_profile_predictions_loss: 31.1199 - logcount_predictions_loss: 0.9198 14/266 [>.............................] - ETA: 34s - loss: 31.9809 - logits_profile_predictions_loss: 31.0568 - logcount_predictions_loss: 0.9241 15/266 [>.............................] - ETA: 34s - loss: 31.7566 - logits_profile_predictions_loss: 30.8418 - logcount_predictions_loss: 0.9148 16/266 [>.............................] - ETA: 34s - loss: 32.1443 - logits_profile_predictions_loss: 31.2088 - logcount_predictions_loss: 0.9355 17/266 [>.............................] - ETA: 33s - loss: 32.1461 - logits_profile_predictions_loss: 31.2113 - logcount_predictions_loss: 0.9347 18/266 [=>............................] - ETA: 33s - loss: 32.0968 - logits_profile_predictions_loss: 31.1684 - logcount_predictions_loss: 0.9284 19/266 [=>............................] - ETA: 33s - loss: 32.0780 - logits_profile_predictions_loss: 31.1469 - logcount_predictions_loss: 0.9311 20/266 [=>............................] - ETA: 33s - loss: 32.0762 - logits_profile_predictions_loss: 31.1453 - logcount_predictions_loss: 0.9309 21/266 [=>............................] - ETA: 33s - loss: 32.0902 - logits_profile_predictions_loss: 31.1555 - logcount_predictions_loss: 0.9347 22/266 [=>............................] - ETA: 33s - loss: 31.8877 - logits_profile_predictions_loss: 30.9626 - logcount_predictions_loss: 0.9251 23/266 [=>............................] - ETA: 33s - loss: 32.0064 - logits_profile_predictions_loss: 31.0794 - logcount_predictions_loss: 0.9270 24/266 [=>............................] - ETA: 32s - loss: 32.0965 - logits_profile_predictions_loss: 31.1679 - logcount_predictions_loss: 0.9286 25/266 [=>............................] - ETA: 32s - loss: 32.0565 - logits_profile_predictions_loss: 31.1327 - logcount_predictions_loss: 0.9238 26/266 [=>............................] - ETA: 32s - loss: 32.0001 - logits_profile_predictions_loss: 31.0814 - logcount_predictions_loss: 0.9187 27/266 [==>...........................] - ETA: 32s - loss: 32.0043 - logits_profile_predictions_loss: 31.0861 - logcount_predictions_loss: 0.9182 28/266 [==>...........................] - ETA: 32s - loss: 32.1035 - logits_profile_predictions_loss: 31.1778 - logcount_predictions_loss: 0.9256 29/266 [==>...........................] - ETA: 32s - loss: 32.0647 - logits_profile_predictions_loss: 31.1394 - logcount_predictions_loss: 0.9253 30/266 [==>...........................] - ETA: 32s - loss: 32.0132 - logits_profile_predictions_loss: 31.0922 - logcount_predictions_loss: 0.9210 31/266 [==>...........................] - ETA: 32s - loss: 31.8570 - logits_profile_predictions_loss: 30.9439 - logcount_predictions_loss: 0.9131 32/266 [==>...........................] - ETA: 31s - loss: 31.7252 - logits_profile_predictions_loss: 30.8177 - logcount_predictions_loss: 0.9076 33/266 [==>...........................] - ETA: 31s - loss: 31.6996 - logits_profile_predictions_loss: 30.7942 - logcount_predictions_loss: 0.9055 34/266 [==>...........................] - ETA: 31s - loss: 31.6963 - logits_profile_predictions_loss: 30.7924 - logcount_predictions_loss: 0.9039 35/266 [==>...........................] - ETA: 31s - loss: 31.6519 - logits_profile_predictions_loss: 30.7471 - logcount_predictions_loss: 0.9048 36/266 [===>..........................] - ETA: 31s - loss: 31.5860 - logits_profile_predictions_loss: 30.6861 - logcount_predictions_loss: 0.9000 37/266 [===>..........................] - ETA: 31s - loss: 31.5096 - logits_profile_predictions_loss: 30.6116 - logcount_predictions_loss: 0.8979 38/266 [===>..........................] - ETA: 31s - loss: 31.6363 - logits_profile_predictions_loss: 30.7302 - logcount_predictions_loss: 0.9061 39/266 [===>..........................] - ETA: 30s - loss: 31.6044 - logits_profile_predictions_loss: 30.6997 - logcount_predictions_loss: 0.9047 40/266 [===>..........................] - ETA: 30s - loss: 31.6893 - logits_profile_predictions_loss: 30.7791 - logcount_predictions_loss: 0.9102 41/266 [===>..........................] - ETA: 30s - loss: 31.6232 - logits_profile_predictions_loss: 30.7181 - logcount_predictions_loss: 0.9051 42/266 [===>..........................] - ETA: 30s - loss: 31.6648 - logits_profile_predictions_loss: 30.7555 - logcount_predictions_loss: 0.9092 43/266 [===>..........................] - ETA: 30s - loss: 31.7282 - logits_profile_predictions_loss: 30.8171 - logcount_predictions_loss: 0.9111 44/266 [===>..........................] - ETA: 30s - loss: 31.7080 - logits_profile_predictions_loss: 30.7976 - logcount_predictions_loss: 0.9104 45/266 [====>.........................] - ETA: 30s - loss: 31.7107 - logits_profile_predictions_loss: 30.8001 - logcount_predictions_loss: 0.9106 46/266 [====>.........................] - ETA: 29s - loss: 31.7441 - logits_profile_predictions_loss: 30.8315 - logcount_predictions_loss: 0.9126 47/266 [====>.........................] - ETA: 29s - loss: 31.8281 - logits_profile_predictions_loss: 30.9090 - logcount_predictions_loss: 0.9191 48/266 [====>.........................] - ETA: 29s - loss: 31.7556 - logits_profile_predictions_loss: 30.8411 - logcount_predictions_loss: 0.9145 49/266 [====>.........................] - ETA: 29s - loss: 31.8722 - logits_profile_predictions_loss: 30.9510 - logcount_predictions_loss: 0.9211 50/266 [====>.........................] - ETA: 29s - loss: 31.7833 - logits_profile_predictions_loss: 30.8667 - logcount_predictions_loss: 0.9167 51/266 [====>.........................] - ETA: 29s - loss: 31.7487 - logits_profile_predictions_loss: 30.8348 - logcount_predictions_loss: 0.9139 52/266 [====>.........................] - ETA: 29s - loss: 31.7284 - logits_profile_predictions_loss: 30.8164 - logcount_predictions_loss: 0.9120 53/266 [====>.........................] - ETA: 29s - loss: 31.6132 - logits_profile_predictions_loss: 30.7070 - logcount_predictions_loss: 0.9062 54/266 [=====>........................] - ETA: 28s - loss: 31.5802 - logits_profile_predictions_loss: 30.6762 - logcount_predictions_loss: 0.9039 55/266 [=====>........................] - ETA: 28s - loss: 31.6744 - logits_profile_predictions_loss: 30.7657 - logcount_predictions_loss: 0.9087 56/266 [=====>........................] - ETA: 28s - loss: 31.6232 - logits_profile_predictions_loss: 30.7166 - logcount_predictions_loss: 0.9065 57/266 [=====>........................] - ETA: 28s - loss: 31.6573 - logits_profile_predictions_loss: 30.7486 - logcount_predictions_loss: 0.9086 58/266 [=====>........................] - ETA: 28s - loss: 31.6913 - logits_profile_predictions_loss: 30.7789 - logcount_predictions_loss: 0.9124 59/266 [=====>........................] - ETA: 28s - loss: 31.6479 - logits_profile_predictions_loss: 30.7396 - logcount_predictions_loss: 0.9083 60/266 [=====>........................] - ETA: 28s - loss: 31.6196 - logits_profile_predictions_loss: 30.7131 - logcount_predictions_loss: 0.9066 61/266 [=====>........................] - ETA: 27s - loss: 31.6660 - logits_profile_predictions_loss: 30.7570 - logcount_predictions_loss: 0.9091 62/266 [=====>........................] - ETA: 27s - loss: 31.6336 - logits_profile_predictions_loss: 30.7253 - logcount_predictions_loss: 0.9083 63/266 [======>.......................] - ETA: 27s - loss: 31.5981 - logits_profile_predictions_loss: 30.6914 - logcount_predictions_loss: 0.9067 64/266 [======>.......................] - ETA: 27s - loss: 31.6036 - logits_profile_predictions_loss: 30.6975 - logcount_predictions_loss: 0.9060 65/266 [======>.......................] - ETA: 27s - loss: 31.5756 - logits_profile_predictions_loss: 30.6710 - logcount_predictions_loss: 0.9046 66/266 [======>.......................] - ETA: 27s - loss: 31.6174 - logits_profile_predictions_loss: 30.7106 - logcount_predictions_loss: 0.9067 67/266 [======>.......................] - ETA: 27s - loss: 31.7080 - logits_profile_predictions_loss: 30.7961 - logcount_predictions_loss: 0.9119 68/266 [======>.......................] - ETA: 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[=======>......................] - ETA: 26s - loss: 31.9400 - logits_profile_predictions_loss: 31.0174 - logcount_predictions_loss: 0.9226 76/266 [=======>......................] - ETA: 25s - loss: 31.9604 - logits_profile_predictions_loss: 31.0362 - logcount_predictions_loss: 0.9242 77/266 [=======>......................] - ETA: 25s - loss: 31.8792 - logits_profile_predictions_loss: 30.9597 - logcount_predictions_loss: 0.9195 78/266 [=======>......................] - ETA: 25s - loss: 31.9141 - logits_profile_predictions_loss: 30.9940 - logcount_predictions_loss: 0.9201 79/266 [=======>......................] - ETA: 25s - loss: 31.9465 - logits_profile_predictions_loss: 31.0250 - logcount_predictions_loss: 0.9215 80/266 [========>.....................] - ETA: 25s - loss: 31.9353 - logits_profile_predictions_loss: 31.0147 - logcount_predictions_loss: 0.9206 81/266 [========>.....................] - ETA: 25s - loss: 32.0009 - logits_profile_predictions_loss: 31.0762 - logcount_predictions_loss: 0.9248 82/266 [========>.....................] - ETA: 25s - loss: 32.0626 - logits_profile_predictions_loss: 31.1354 - logcount_predictions_loss: 0.9273 83/266 [========>.....................] - ETA: 24s - loss: 32.1101 - logits_profile_predictions_loss: 31.1808 - logcount_predictions_loss: 0.9293 84/266 [========>.....................] - ETA: 24s - loss: 32.0452 - logits_profile_predictions_loss: 31.1205 - logcount_predictions_loss: 0.9248 85/266 [========>.....................] - ETA: 24s - loss: 32.0702 - logits_profile_predictions_loss: 31.1442 - logcount_predictions_loss: 0.9261 86/266 [========>.....................] - ETA: 24s - loss: 32.0775 - logits_profile_predictions_loss: 31.1515 - logcount_predictions_loss: 0.9260 87/266 [========>.....................] - ETA: 24s - loss: 32.0542 - logits_profile_predictions_loss: 31.1297 - logcount_predictions_loss: 0.9244 88/266 [========>.....................] - ETA: 24s - loss: 32.0232 - logits_profile_predictions_loss: 31.1012 - logcount_predictions_loss: 0.9220 89/266 [=========>....................] - ETA: 24s - loss: 31.9873 - logits_profile_predictions_loss: 31.0667 - logcount_predictions_loss: 0.9206 90/266 [=========>....................] - ETA: 23s - loss: 31.9184 - logits_profile_predictions_loss: 31.0009 - logcount_predictions_loss: 0.9175 91/266 [=========>....................] - ETA: 23s - loss: 31.9069 - logits_profile_predictions_loss: 30.9904 - logcount_predictions_loss: 0.9165 92/266 [=========>....................] - ETA: 23s - loss: 31.8493 - logits_profile_predictions_loss: 30.9364 - logcount_predictions_loss: 0.9128 93/266 [=========>....................] - ETA: 23s - loss: 31.8683 - logits_profile_predictions_loss: 30.9534 - logcount_predictions_loss: 0.9150 94/266 [=========>....................] - ETA: 23s - loss: 31.8432 - logits_profile_predictions_loss: 30.9305 - logcount_predictions_loss: 0.9128 95/266 [=========>....................] - ETA: 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[==========>...................] - ETA: 22s - loss: 31.8216 - logits_profile_predictions_loss: 30.9108 - logcount_predictions_loss: 0.9108 103/266 [==========>...................] - ETA: 22s - loss: 31.8235 - logits_profile_predictions_loss: 30.9129 - logcount_predictions_loss: 0.9106 104/266 [==========>...................] - ETA: 22s - loss: 31.8406 - logits_profile_predictions_loss: 30.9292 - logcount_predictions_loss: 0.9114 105/266 [==========>...................] - ETA: 21s - loss: 31.8249 - logits_profile_predictions_loss: 30.9137 - logcount_predictions_loss: 0.9112 106/266 [==========>...................] - ETA: 21s - loss: 31.7816 - logits_profile_predictions_loss: 30.8724 - logcount_predictions_loss: 0.9092 107/266 [===========>..................] - ETA: 21s - loss: 31.7895 - logits_profile_predictions_loss: 30.8799 - logcount_predictions_loss: 0.9096 108/266 [===========>..................] - ETA: 21s - loss: 31.8032 - logits_profile_predictions_loss: 30.8925 - logcount_predictions_loss: 0.9107 109/266 [===========>..................] - ETA: 21s - loss: 31.8222 - logits_profile_predictions_loss: 30.9104 - logcount_predictions_loss: 0.9118 110/266 [===========>..................] - ETA: 21s - loss: 31.8112 - logits_profile_predictions_loss: 30.8996 - logcount_predictions_loss: 0.9117 111/266 [===========>..................] - ETA: 21s - loss: 31.8397 - logits_profile_predictions_loss: 30.9268 - logcount_predictions_loss: 0.9129 112/266 [===========>..................] - ETA: 20s - loss: 31.8692 - logits_profile_predictions_loss: 30.9550 - logcount_predictions_loss: 0.9142 113/266 [===========>..................] - ETA: 20s - loss: 31.8564 - logits_profile_predictions_loss: 30.9433 - logcount_predictions_loss: 0.9131 114/266 [===========>..................] - ETA: 20s - loss: 31.8341 - logits_profile_predictions_loss: 30.9221 - logcount_predictions_loss: 0.9120 115/266 [===========>..................] - ETA: 20s - loss: 31.8404 - 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- ETA: 19s - loss: 31.9448 - logits_profile_predictions_loss: 31.0274 - logcount_predictions_loss: 0.9174 123/266 [============>.................] - ETA: 19s - loss: 31.9440 - logits_profile_predictions_loss: 31.0265 - logcount_predictions_loss: 0.9175 124/266 [============>.................] - ETA: 19s - loss: 31.9381 - logits_profile_predictions_loss: 31.0212 - logcount_predictions_loss: 0.9169 125/266 [=============>................] - ETA: 19s - loss: 31.9160 - logits_profile_predictions_loss: 31.0003 - logcount_predictions_loss: 0.9158 126/266 [=============>................] - ETA: 19s - loss: 31.9345 - logits_profile_predictions_loss: 31.0186 - logcount_predictions_loss: 0.9160 127/266 [=============>................] - ETA: 18s - loss: 31.9454 - logits_profile_predictions_loss: 31.0292 - logcount_predictions_loss: 0.9162 128/266 [=============>................] - ETA: 18s - loss: 31.9419 - logits_profile_predictions_loss: 31.0256 - logcount_predictions_loss: 0.9162 129/266 [=============>................] - ETA: 18s - loss: 31.9269 - logits_profile_predictions_loss: 31.0115 - logcount_predictions_loss: 0.9154 130/266 [=============>................] - ETA: 18s - loss: 31.9295 - logits_profile_predictions_loss: 31.0141 - logcount_predictions_loss: 0.9154 131/266 [=============>................] - ETA: 18s - loss: 31.9023 - logits_profile_predictions_loss: 30.9887 - logcount_predictions_loss: 0.9136 132/266 [=============>................] - ETA: 18s - loss: 31.8547 - logits_profile_predictions_loss: 30.9436 - logcount_predictions_loss: 0.9111 133/266 [==============>...............] - ETA: 18s - loss: 31.8462 - logits_profile_predictions_loss: 30.9351 - logcount_predictions_loss: 0.9111 134/266 [==============>...............] - ETA: 17s - loss: 31.8589 - logits_profile_predictions_loss: 30.9473 - logcount_predictions_loss: 0.9116 135/266 [==============>...............] - ETA: 17s - loss: 31.8966 - logits_profile_predictions_loss: 30.9828 - 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[============================>.] - ETA: 0s - loss: 31.5610 - logits_profile_predictions_loss: 30.6733 - logcount_predictions_loss: 0.8877 266/266 [==============================] - ETA: 0s - loss: 31.5523 - logits_profile_predictions_loss: 30.6656 - logcount_predictions_loss: 0.8867 Epoch 2: val_loss improved from 34.12030 to 33.73461, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.adipocyte.I/fold_2/models/chrombpnet.h5  266/266 [==============================] - 39s 147ms/step - loss: 31.5523 - logits_profile_predictions_loss: 30.6656 - logcount_predictions_loss: 0.8867 - val_loss: 33.7346 - val_logits_profile_predictions_loss: 32.9427 - val_logcount_predictions_loss: 0.7919 Epoch 3/50 1/266 [..............................] - ETA: 39s - loss: 38.4997 - logits_profile_predictions_loss: 37.4392 - logcount_predictions_loss: 1.0605 2/266 [..............................] - ETA: 35s - loss: 34.1543 - 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[>.............................] - ETA: 34s - loss: 31.0625 - logits_profile_predictions_loss: 30.3805 - logcount_predictions_loss: 0.6821 17/266 [>.............................] - ETA: 33s - loss: 31.0140 - logits_profile_predictions_loss: 30.3346 - logcount_predictions_loss: 0.6795 18/266 [=>............................] - ETA: 33s - loss: 31.1181 - logits_profile_predictions_loss: 30.4348 - logcount_predictions_loss: 0.6833 19/266 [=>............................] - ETA: 33s - loss: 31.1980 - logits_profile_predictions_loss: 30.5185 - logcount_predictions_loss: 0.6795 20/266 [=>............................] - ETA: 33s - loss: 31.1950 - logits_profile_predictions_loss: 30.5218 - logcount_predictions_loss: 0.6732 21/266 [=>............................] - ETA: 33s - loss: 31.3579 - logits_profile_predictions_loss: 30.6812 - logcount_predictions_loss: 0.6767 22/266 [=>............................] - ETA: 33s - loss: 31.2789 - logits_profile_predictions_loss: 30.6093 - 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[============================>.] - ETA: 0s - loss: 30.7132 - logits_profile_predictions_loss: 30.3613 - logcount_predictions_loss: 0.3519 261/266 [============================>.] - ETA: 0s - loss: 30.7283 - logits_profile_predictions_loss: 30.3767 - logcount_predictions_loss: 0.3516 262/266 [============================>.] - ETA: 0s - loss: 30.7136 - logits_profile_predictions_loss: 30.3626 - logcount_predictions_loss: 0.3509 263/266 [============================>.] - ETA: 0s - loss: 30.7153 - logits_profile_predictions_loss: 30.3648 - logcount_predictions_loss: 0.3505 264/266 [============================>.] - ETA: 0s - loss: 30.6981 - logits_profile_predictions_loss: 30.3482 - logcount_predictions_loss: 0.3499 265/266 [============================>.] - ETA: 0s - loss: 30.7080 - logits_profile_predictions_loss: 30.3583 - logcount_predictions_loss: 0.3496 266/266 [==============================] - ETA: 0s - loss: 30.7199 - logits_profile_predictions_loss: 30.3706 - logcount_predictions_loss: 0.3493 Epoch 3: val_loss improved from 33.73461 to 33.18715, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.adipocyte.I/fold_2/models/chrombpnet.h5  266/266 [==============================] - 39s 147ms/step - loss: 30.7199 - logits_profile_predictions_loss: 30.3706 - logcount_predictions_loss: 0.3493 - val_loss: 33.1871 - val_logits_profile_predictions_loss: 32.9506 - val_logcount_predictions_loss: 0.2365 Epoch 4/50 1/266 [..............................] - ETA: 38s - loss: 28.8412 - logits_profile_predictions_loss: 28.5665 - logcount_predictions_loss: 0.2747 2/266 [..............................] - ETA: 35s - loss: 30.3562 - logits_profile_predictions_loss: 30.0871 - logcount_predictions_loss: 0.2691 3/266 [..............................] - ETA: 35s - loss: 30.3952 - logits_profile_predictions_loss: 30.1377 - logcount_predictions_loss: 0.2575 4/266 [..............................] - 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[>.............................] - ETA: 34s - loss: 28.8232 - logits_profile_predictions_loss: 28.5880 - logcount_predictions_loss: 0.2351 12/266 [>.............................] - ETA: 34s - loss: 29.0342 - logits_profile_predictions_loss: 28.7931 - logcount_predictions_loss: 0.2410 13/266 [>.............................] - ETA: 34s - loss: 29.0527 - logits_profile_predictions_loss: 28.8076 - logcount_predictions_loss: 0.2451 14/266 [>.............................] - ETA: 34s - loss: 29.0599 - logits_profile_predictions_loss: 28.8152 - logcount_predictions_loss: 0.2447 15/266 [>.............................] - ETA: 34s - loss: 29.2066 - logits_profile_predictions_loss: 28.9648 - logcount_predictions_loss: 0.2418 16/266 [>.............................] - ETA: 34s - loss: 29.2709 - logits_profile_predictions_loss: 29.0302 - logcount_predictions_loss: 0.2407 17/266 [>.............................] - ETA: 34s - loss: 29.5771 - logits_profile_predictions_loss: 29.3327 - 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[===>..........................] - ETA: 31s - loss: 30.3543 - logits_profile_predictions_loss: 30.1080 - logcount_predictions_loss: 0.2463 39/266 [===>..........................] - ETA: 30s - loss: 30.3580 - logits_profile_predictions_loss: 30.1113 - logcount_predictions_loss: 0.2466 40/266 [===>..........................] - ETA: 30s - loss: 30.3256 - logits_profile_predictions_loss: 30.0796 - logcount_predictions_loss: 0.2461 41/266 [===>..........................] - ETA: 30s - loss: 30.3538 - logits_profile_predictions_loss: 30.1052 - logcount_predictions_loss: 0.2486 42/266 [===>..........................] - ETA: 30s - loss: 30.3760 - logits_profile_predictions_loss: 30.1272 - logcount_predictions_loss: 0.2488 43/266 [===>..........................] - ETA: 30s - loss: 30.2674 - logits_profile_predictions_loss: 30.0178 - logcount_predictions_loss: 0.2496 44/266 [===>..........................] - ETA: 30s - loss: 30.2893 - logits_profile_predictions_loss: 30.0405 - 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[========================>.....] - ETA: 5s - loss: 30.5788 - logits_profile_predictions_loss: 30.3338 - logcount_predictions_loss: 0.2450 228/266 [========================>.....] - ETA: 5s - loss: 30.5848 - logits_profile_predictions_loss: 30.3400 - logcount_predictions_loss: 0.2448 229/266 [========================>.....] - ETA: 5s - loss: 30.5691 - logits_profile_predictions_loss: 30.3244 - logcount_predictions_loss: 0.2447 230/266 [========================>.....] - ETA: 4s - loss: 30.5612 - logits_profile_predictions_loss: 30.3165 - logcount_predictions_loss: 0.2447 231/266 [=========================>....] - ETA: 4s - loss: 30.5477 - logits_profile_predictions_loss: 30.3033 - logcount_predictions_loss: 0.2443 232/266 [=========================>....] - ETA: 4s - loss: 30.5483 - logits_profile_predictions_loss: 30.3037 - logcount_predictions_loss: 0.2446 233/266 [=========================>....] - ETA: 4s - loss: 30.5504 - logits_profile_predictions_loss: 30.3060 - 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logcount_predictions_loss: 0.2453 262/266 [============================>.] - ETA: 0s - loss: 30.4839 - logits_profile_predictions_loss: 30.2387 - logcount_predictions_loss: 0.2452 263/266 [============================>.] - ETA: 0s - loss: 30.4952 - logits_profile_predictions_loss: 30.2500 - logcount_predictions_loss: 0.2452 264/266 [============================>.] - ETA: 0s - loss: 30.4918 - logits_profile_predictions_loss: 30.2461 - logcount_predictions_loss: 0.2456 265/266 [============================>.] - ETA: 0s - loss: 30.5008 - logits_profile_predictions_loss: 30.2553 - logcount_predictions_loss: 0.2455 266/266 [==============================] - ETA: 0s - loss: 30.5160 - logits_profile_predictions_loss: 30.2702 - logcount_predictions_loss: 0.2457 Epoch 4: val_loss improved from 33.18715 to 33.08470, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.adipocyte.I/fold_2/models/chrombpnet.h5  266/266 [==============================] - 39s 147ms/step - loss: 30.5160 - logits_profile_predictions_loss: 30.2702 - logcount_predictions_loss: 0.2457 - val_loss: 33.0847 - val_logits_profile_predictions_loss: 32.8697 - val_logcount_predictions_loss: 0.2150 Epoch 5/50 1/266 [..............................] - ETA: 38s - loss: 30.7419 - logits_profile_predictions_loss: 30.5030 - logcount_predictions_loss: 0.2390 2/266 [..............................] - ETA: 35s - loss: 30.6613 - logits_profile_predictions_loss: 30.4266 - logcount_predictions_loss: 0.2347 3/266 [..............................] - ETA: 35s - loss: 31.2743 - logits_profile_predictions_loss: 31.0396 - logcount_predictions_loss: 0.2347 4/266 [..............................] - ETA: 35s - loss: 31.1810 - logits_profile_predictions_loss: 30.9589 - logcount_predictions_loss: 0.2221 5/266 [..............................] - ETA: 35s - loss: 31.1596 - logits_profile_predictions_loss: 30.9343 - logcount_predictions_loss: 0.2253 6/266 [..............................] - ETA: 35s - loss: 30.9615 - logits_profile_predictions_loss: 30.7331 - logcount_predictions_loss: 0.2284 7/266 [..............................] - ETA: 35s - loss: 30.2082 - logits_profile_predictions_loss: 29.9830 - logcount_predictions_loss: 0.2252 8/266 [..............................] - ETA: 35s - loss: 30.2082 - logits_profile_predictions_loss: 29.9827 - logcount_predictions_loss: 0.2255 9/266 [>.............................] - ETA: 34s - loss: 30.4748 - logits_profile_predictions_loss: 30.2459 - logcount_predictions_loss: 0.2289 10/266 [>.............................] - ETA: 34s - loss: 30.3585 - logits_profile_predictions_loss: 30.1317 - logcount_predictions_loss: 0.2267 11/266 [>.............................] - ETA: 34s - loss: 30.2177 - logits_profile_predictions_loss: 29.9908 - logcount_predictions_loss: 0.2269 12/266 [>.............................] - ETA: 34s - loss: 30.4009 - logits_profile_predictions_loss: 30.1744 - 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[==>...........................] - ETA: 31s - loss: 30.6752 - logits_profile_predictions_loss: 30.4443 - logcount_predictions_loss: 0.2309 34/266 [==>...........................] - ETA: 31s - loss: 30.7070 - logits_profile_predictions_loss: 30.4768 - logcount_predictions_loss: 0.2303 35/266 [==>...........................] - ETA: 31s - loss: 30.6400 - logits_profile_predictions_loss: 30.4094 - logcount_predictions_loss: 0.2306 36/266 [===>..........................] - ETA: 31s - loss: 30.7832 - logits_profile_predictions_loss: 30.5487 - logcount_predictions_loss: 0.2345 37/266 [===>..........................] - ETA: 31s - loss: 30.7306 - logits_profile_predictions_loss: 30.4990 - logcount_predictions_loss: 0.2316 38/266 [===>..........................] - ETA: 31s - loss: 30.6985 - logits_profile_predictions_loss: 30.4672 - logcount_predictions_loss: 0.2313 39/266 [===>..........................] - ETA: 30s - loss: 30.6394 - logits_profile_predictions_loss: 30.4090 - 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[=====>........................] - ETA: 28s - loss: 30.3915 - logits_profile_predictions_loss: 30.1660 - logcount_predictions_loss: 0.2255 61/266 [=====>........................] - ETA: 27s - loss: 30.3806 - logits_profile_predictions_loss: 30.1556 - logcount_predictions_loss: 0.2250 62/266 [=====>........................] - ETA: 27s - loss: 30.3871 - logits_profile_predictions_loss: 30.1614 - logcount_predictions_loss: 0.2257 63/266 [======>.......................] - ETA: 27s - loss: 30.3631 - logits_profile_predictions_loss: 30.1377 - logcount_predictions_loss: 0.2254 64/266 [======>.......................] - ETA: 27s - loss: 30.3387 - logits_profile_predictions_loss: 30.1135 - logcount_predictions_loss: 0.2252 65/266 [======>.......................] - ETA: 27s - loss: 30.3181 - logits_profile_predictions_loss: 30.0943 - logcount_predictions_loss: 0.2239 66/266 [======>.......................] - ETA: 27s - loss: 30.3098 - logits_profile_predictions_loss: 30.0858 - 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logits_profile_predictions_loss: 30.1057 - logcount_predictions_loss: 0.2408 264/266 [============================>.] - ETA: 0s - loss: 30.3547 - logits_profile_predictions_loss: 30.1140 - logcount_predictions_loss: 0.2408 265/266 [============================>.] - ETA: 0s - loss: 30.3689 - logits_profile_predictions_loss: 30.1281 - logcount_predictions_loss: 0.2408 266/266 [==============================] - ETA: 0s - loss: 30.3643 - logits_profile_predictions_loss: 30.1233 - logcount_predictions_loss: 0.2410 Epoch 5: val_loss improved from 33.08470 to 33.03795, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.adipocyte.I/fold_2/models/chrombpnet.h5  266/266 [==============================] - 39s 147ms/step - loss: 30.3643 - logits_profile_predictions_loss: 30.1233 - logcount_predictions_loss: 0.2410 - val_loss: 33.0380 - val_logits_profile_predictions_loss: 32.8146 - val_logcount_predictions_loss: 0.2234 Epoch 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- ETA: 11s - loss: 30.0090 - logits_profile_predictions_loss: 29.7707 - logcount_predictions_loss: 0.2383 185/266 [===================>..........] - ETA: 11s - loss: 30.0446 - logits_profile_predictions_loss: 29.8058 - logcount_predictions_loss: 0.2388 186/266 [===================>..........] - ETA: 10s - loss: 30.0700 - logits_profile_predictions_loss: 29.8309 - logcount_predictions_loss: 0.2392 187/266 [====================>.........] - ETA: 10s - loss: 30.0496 - logits_profile_predictions_loss: 29.8107 - logcount_predictions_loss: 0.2390 188/266 [====================>.........] - ETA: 10s - loss: 30.0450 - logits_profile_predictions_loss: 29.8062 - logcount_predictions_loss: 0.2389 189/266 [====================>.........] - ETA: 10s - loss: 30.0645 - logits_profile_predictions_loss: 29.8259 - logcount_predictions_loss: 0.2387 190/266 [====================>.........] - ETA: 10s - loss: 30.0964 - logits_profile_predictions_loss: 29.8577 - logcount_predictions_loss: 0.2387 191/266 [====================>.........] - ETA: 10s - loss: 30.0813 - logits_profile_predictions_loss: 29.8423 - logcount_predictions_loss: 0.2390 192/266 [====================>.........] - ETA: 10s - loss: 30.0900 - logits_profile_predictions_loss: 29.8510 - logcount_predictions_loss: 0.2390 193/266 [====================>.........] - ETA: 9s - loss: 30.1009 - logits_profile_predictions_loss: 29.8620 - logcount_predictions_loss: 0.2390  194/266 [====================>.........] - ETA: 9s - loss: 30.1065 - logits_profile_predictions_loss: 29.8673 - logcount_predictions_loss: 0.2392 195/266 [====================>.........] - ETA: 9s - loss: 30.0945 - logits_profile_predictions_loss: 29.8554 - logcount_predictions_loss: 0.2391 196/266 [=====================>........] - ETA: 9s - loss: 30.0781 - logits_profile_predictions_loss: 29.8388 - logcount_predictions_loss: 0.2393 197/266 [=====================>........] - ETA: 9s - loss: 30.1109 - logits_profile_predictions_loss: 29.8718 - 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[=======================>......] - ETA: 6s - loss: 30.1201 - logits_profile_predictions_loss: 29.8804 - logcount_predictions_loss: 0.2397 219/266 [=======================>......] - ETA: 6s - loss: 30.1137 - logits_profile_predictions_loss: 29.8738 - logcount_predictions_loss: 0.2398 220/266 [=======================>......] - ETA: 6s - loss: 30.1251 - logits_profile_predictions_loss: 29.8852 - logcount_predictions_loss: 0.2399 221/266 [=======================>......] - ETA: 6s - loss: 30.1325 - logits_profile_predictions_loss: 29.8922 - logcount_predictions_loss: 0.2403 222/266 [========================>.....] - ETA: 5s - loss: 30.1440 - logits_profile_predictions_loss: 29.9038 - logcount_predictions_loss: 0.2402 223/266 [========================>.....] - ETA: 5s - loss: 30.1480 - logits_profile_predictions_loss: 29.9076 - logcount_predictions_loss: 0.2404 224/266 [========================>.....] - ETA: 5s - loss: 30.1377 - logits_profile_predictions_loss: 29.8973 - 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3s - loss: 30.1902 - logits_profile_predictions_loss: 29.9519 - logcount_predictions_loss: 0.2383 239/266 [=========================>....] - ETA: 3s - loss: 30.1897 - logits_profile_predictions_loss: 29.9517 - logcount_predictions_loss: 0.2380 240/266 [==========================>...] - ETA: 3s - loss: 30.1810 - logits_profile_predictions_loss: 29.9430 - logcount_predictions_loss: 0.2380 241/266 [==========================>...] - ETA: 3s - loss: 30.1726 - logits_profile_predictions_loss: 29.9348 - logcount_predictions_loss: 0.2377 242/266 [==========================>...] - ETA: 3s - loss: 30.1690 - logits_profile_predictions_loss: 29.9315 - logcount_predictions_loss: 0.2375 243/266 [==========================>...] - ETA: 3s - loss: 30.1676 - logits_profile_predictions_loss: 29.9303 - logcount_predictions_loss: 0.2373 244/266 [==========================>...] - ETA: 3s - loss: 30.1779 - logits_profile_predictions_loss: 29.9407 - logcount_predictions_loss: 0.2372 245/266 [==========================>...] - ETA: 2s - loss: 30.1684 - logits_profile_predictions_loss: 29.9315 - logcount_predictions_loss: 0.2369 246/266 [==========================>...] - ETA: 2s - loss: 30.1680 - logits_profile_predictions_loss: 29.9311 - logcount_predictions_loss: 0.2368 247/266 [==========================>...] - ETA: 2s - loss: 30.1626 - logits_profile_predictions_loss: 29.9255 - logcount_predictions_loss: 0.2371 248/266 [==========================>...] - ETA: 2s - loss: 30.1704 - logits_profile_predictions_loss: 29.9334 - logcount_predictions_loss: 0.2369 249/266 [===========================>..] - ETA: 2s - loss: 30.1659 - logits_profile_predictions_loss: 29.9293 - logcount_predictions_loss: 0.2366 250/266 [===========================>..] - ETA: 2s - loss: 30.1533 - logits_profile_predictions_loss: 29.9163 - logcount_predictions_loss: 0.2370 251/266 [===========================>..] - ETA: 2s - loss: 30.1467 - logits_profile_predictions_loss: 29.9098 - 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logits_profile_predictions_loss: 29.9382 - logcount_predictions_loss: 0.2361 259/266 [============================>.] - ETA: 0s - loss: 30.1687 - logits_profile_predictions_loss: 29.9326 - logcount_predictions_loss: 0.2361 260/266 [============================>.] - ETA: 0s - loss: 30.1789 - logits_profile_predictions_loss: 29.9431 - logcount_predictions_loss: 0.2359 261/266 [============================>.] - ETA: 0s - loss: 30.1687 - logits_profile_predictions_loss: 29.9330 - logcount_predictions_loss: 0.2357 262/266 [============================>.] - ETA: 0s - loss: 30.1797 - logits_profile_predictions_loss: 29.9439 - logcount_predictions_loss: 0.2358 263/266 [============================>.] - ETA: 0s - loss: 30.1821 - logits_profile_predictions_loss: 29.9461 - logcount_predictions_loss: 0.2360 264/266 [============================>.] - ETA: 0s - loss: 30.1887 - logits_profile_predictions_loss: 29.9523 - logcount_predictions_loss: 0.2364 265/266 [============================>.] - ETA: 0s - loss: 30.1882 - logits_profile_predictions_loss: 29.9518 - logcount_predictions_loss: 0.2365 266/266 [==============================] - ETA: 0s - loss: 30.1788 - logits_profile_predictions_loss: 29.9424 - logcount_predictions_loss: 0.2364 Epoch 6: val_loss did not improve from 33.03795  266/266 [==============================] - 39s 146ms/step - loss: 30.1788 - logits_profile_predictions_loss: 29.9424 - logcount_predictions_loss: 0.2364 - val_loss: 33.1080 - val_logits_profile_predictions_loss: 32.9051 - val_logcount_predictions_loss: 0.2029 Epoch 7/50 1/266 [..............................] - ETA: 38s - loss: 34.7203 - logits_profile_predictions_loss: 34.5580 - logcount_predictions_loss: 0.1624 2/266 [..............................] - ETA: 36s - loss: 32.6096 - logits_profile_predictions_loss: 32.4118 - logcount_predictions_loss: 0.1978 3/266 [..............................] - ETA: 35s - loss: 30.7288 - logits_profile_predictions_loss: 30.4925 - logcount_predictions_loss: 0.2363 4/266 [..............................] - ETA: 35s - loss: 31.4529 - logits_profile_predictions_loss: 31.2220 - logcount_predictions_loss: 0.2309 5/266 [..............................] - ETA: 35s - loss: 31.5349 - logits_profile_predictions_loss: 31.3103 - logcount_predictions_loss: 0.2246 6/266 [..............................] - ETA: 35s - loss: 31.1786 - logits_profile_predictions_loss: 30.9525 - logcount_predictions_loss: 0.2260 7/266 [..............................] - ETA: 35s - loss: 31.1519 - logits_profile_predictions_loss: 30.9169 - logcount_predictions_loss: 0.2350 8/266 [..............................] - ETA: 35s - loss: 30.6144 - logits_profile_predictions_loss: 30.3802 - logcount_predictions_loss: 0.2343 9/266 [>.............................] - ETA: 35s - loss: 30.5623 - logits_profile_predictions_loss: 30.3276 - logcount_predictions_loss: 0.2347 10/266 [>.............................] - ETA: 34s - loss: 30.4589 - logits_profile_predictions_loss: 30.2359 - logcount_predictions_loss: 0.2229 11/266 [>.............................] - ETA: 34s - loss: 30.2332 - logits_profile_predictions_loss: 30.0029 - logcount_predictions_loss: 0.2303 12/266 [>.............................] - ETA: 34s - loss: 30.3163 - logits_profile_predictions_loss: 30.0859 - logcount_predictions_loss: 0.2304 13/266 [>.............................] - ETA: 34s - loss: 30.5897 - logits_profile_predictions_loss: 30.3594 - logcount_predictions_loss: 0.2303 14/266 [>.............................] - ETA: 34s - loss: 30.6444 - logits_profile_predictions_loss: 30.4188 - logcount_predictions_loss: 0.2256 15/266 [>.............................] - ETA: 34s - loss: 30.4379 - logits_profile_predictions_loss: 30.2137 - logcount_predictions_loss: 0.2243 16/266 [>.............................] - ETA: 34s - loss: 30.5876 - logits_profile_predictions_loss: 30.3692 - logcount_predictions_loss: 0.2183 17/266 [>.............................] - ETA: 34s - loss: 30.3211 - logits_profile_predictions_loss: 30.1068 - logcount_predictions_loss: 0.2143 18/266 [=>............................] - ETA: 33s - loss: 30.1620 - logits_profile_predictions_loss: 29.9483 - logcount_predictions_loss: 0.2137 19/266 [=>............................] - ETA: 33s - loss: 30.2966 - logits_profile_predictions_loss: 30.0829 - logcount_predictions_loss: 0.2136 20/266 [=>............................] - ETA: 33s - loss: 30.2474 - logits_profile_predictions_loss: 30.0323 - logcount_predictions_loss: 0.2152 21/266 [=>............................] - ETA: 33s - loss: 30.2112 - logits_profile_predictions_loss: 29.9953 - logcount_predictions_loss: 0.2159 22/266 [=>............................] - ETA: 33s - loss: 29.9739 - logits_profile_predictions_loss: 29.7619 - logcount_predictions_loss: 0.2121 23/266 [=>............................] - ETA: 33s - loss: 30.0720 - logits_profile_predictions_loss: 29.8601 - logcount_predictions_loss: 0.2119 24/266 [=>............................] - ETA: 33s - loss: 29.9967 - logits_profile_predictions_loss: 29.7848 - logcount_predictions_loss: 0.2119 25/266 [=>............................] - ETA: 33s - loss: 29.9880 - logits_profile_predictions_loss: 29.7715 - logcount_predictions_loss: 0.2165 26/266 [=>............................] - ETA: 33s - loss: 29.9418 - logits_profile_predictions_loss: 29.7275 - logcount_predictions_loss: 0.2143 27/266 [==>...........................] - ETA: 32s - loss: 29.9198 - logits_profile_predictions_loss: 29.7040 - logcount_predictions_loss: 0.2158 28/266 [==>...........................] - ETA: 32s - loss: 29.7789 - logits_profile_predictions_loss: 29.5650 - logcount_predictions_loss: 0.2138 29/266 [==>...........................] - ETA: 32s - loss: 29.9953 - logits_profile_predictions_loss: 29.7812 - logcount_predictions_loss: 0.2141 30/266 [==>...........................] - ETA: 32s - loss: 29.8599 - logits_profile_predictions_loss: 29.6468 - logcount_predictions_loss: 0.2131 31/266 [==>...........................] - ETA: 32s - loss: 29.9177 - logits_profile_predictions_loss: 29.7035 - logcount_predictions_loss: 0.2143 32/266 [==>...........................] - ETA: 32s - loss: 30.0254 - logits_profile_predictions_loss: 29.8083 - logcount_predictions_loss: 0.2171 33/266 [==>...........................] - ETA: 32s - loss: 29.9812 - logits_profile_predictions_loss: 29.7635 - logcount_predictions_loss: 0.2177 34/266 [==>...........................] - ETA: 31s - loss: 29.9502 - logits_profile_predictions_loss: 29.7325 - logcount_predictions_loss: 0.2177 35/266 [==>...........................] - ETA: 31s - loss: 29.9400 - logits_profile_predictions_loss: 29.7207 - logcount_predictions_loss: 0.2193 36/266 [===>..........................] - ETA: 31s - loss: 30.0385 - logits_profile_predictions_loss: 29.8186 - logcount_predictions_loss: 0.2200 37/266 [===>..........................] - ETA: 31s - loss: 30.0241 - logits_profile_predictions_loss: 29.8065 - logcount_predictions_loss: 0.2176 38/266 [===>..........................] - ETA: 31s - loss: 30.1404 - logits_profile_predictions_loss: 29.9230 - logcount_predictions_loss: 0.2174 39/266 [===>..........................] - ETA: 31s - loss: 30.1429 - logits_profile_predictions_loss: 29.9252 - logcount_predictions_loss: 0.2176 40/266 [===>..........................] - ETA: 31s - loss: 30.1093 - logits_profile_predictions_loss: 29.8918 - logcount_predictions_loss: 0.2175 41/266 [===>..........................] - ETA: 30s - loss: 30.0062 - logits_profile_predictions_loss: 29.7890 - logcount_predictions_loss: 0.2172 42/266 [===>..........................] - ETA: 30s - loss: 29.9729 - logits_profile_predictions_loss: 29.7534 - logcount_predictions_loss: 0.2194 43/266 [===>..........................] - ETA: 30s - loss: 30.0337 - logits_profile_predictions_loss: 29.8133 - logcount_predictions_loss: 0.2205 44/266 [===>..........................] - ETA: 30s - loss: 30.0304 - logits_profile_predictions_loss: 29.8076 - logcount_predictions_loss: 0.2227 45/266 [====>.........................] - ETA: 30s - loss: 29.9376 - logits_profile_predictions_loss: 29.7147 - logcount_predictions_loss: 0.2229 46/266 [====>.........................] - ETA: 30s - loss: 29.9593 - logits_profile_predictions_loss: 29.7370 - logcount_predictions_loss: 0.2222 47/266 [====>.........................] - ETA: 30s - loss: 29.9177 - logits_profile_predictions_loss: 29.6958 - logcount_predictions_loss: 0.2219 48/266 [====>.........................] - ETA: 29s - loss: 29.9990 - logits_profile_predictions_loss: 29.7767 - logcount_predictions_loss: 0.2223 49/266 [====>.........................] - ETA: 29s - loss: 30.0634 - logits_profile_predictions_loss: 29.8416 - logcount_predictions_loss: 0.2219 50/266 [====>.........................] - ETA: 29s - loss: 30.0473 - logits_profile_predictions_loss: 29.8255 - logcount_predictions_loss: 0.2218 51/266 [====>.........................] - ETA: 29s - loss: 30.0098 - logits_profile_predictions_loss: 29.7863 - logcount_predictions_loss: 0.2235 52/266 [====>.........................] - ETA: 29s - loss: 30.0391 - logits_profile_predictions_loss: 29.8151 - logcount_predictions_loss: 0.2239 53/266 [====>.........................] - ETA: 29s - loss: 30.0246 - logits_profile_predictions_loss: 29.8003 - logcount_predictions_loss: 0.2243 54/266 [=====>........................] - ETA: 29s - loss: 30.0017 - logits_profile_predictions_loss: 29.7748 - logcount_predictions_loss: 0.2268 55/266 [=====>........................] - ETA: 28s - loss: 29.9009 - logits_profile_predictions_loss: 29.6750 - logcount_predictions_loss: 0.2259 56/266 [=====>........................] - ETA: 28s - loss: 29.9485 - logits_profile_predictions_loss: 29.7201 - logcount_predictions_loss: 0.2284 57/266 [=====>........................] - ETA: 28s - loss: 29.9685 - logits_profile_predictions_loss: 29.7385 - logcount_predictions_loss: 0.2299 58/266 [=====>........................] - ETA: 28s - loss: 29.9495 - logits_profile_predictions_loss: 29.7197 - logcount_predictions_loss: 0.2298 59/266 [=====>........................] - ETA: 28s - loss: 29.9327 - logits_profile_predictions_loss: 29.7025 - logcount_predictions_loss: 0.2302 60/266 [=====>........................] - ETA: 28s - loss: 29.8922 - logits_profile_predictions_loss: 29.6614 - logcount_predictions_loss: 0.2308 61/266 [=====>........................] - ETA: 28s - loss: 29.8439 - logits_profile_predictions_loss: 29.6136 - logcount_predictions_loss: 0.2303 62/266 [=====>........................] - ETA: 27s - loss: 29.8399 - logits_profile_predictions_loss: 29.6083 - logcount_predictions_loss: 0.2316 63/266 [======>.......................] - ETA: 27s - loss: 29.8435 - logits_profile_predictions_loss: 29.6100 - logcount_predictions_loss: 0.2335 64/266 [======>.......................] - ETA: 27s - loss: 29.8262 - logits_profile_predictions_loss: 29.5920 - logcount_predictions_loss: 0.2342 65/266 [======>.......................] - ETA: 27s - loss: 29.8428 - logits_profile_predictions_loss: 29.6070 - logcount_predictions_loss: 0.2358 66/266 [======>.......................] - ETA: 27s - loss: 29.8893 - logits_profile_predictions_loss: 29.6528 - logcount_predictions_loss: 0.2366 67/266 [======>.......................] - ETA: 27s - loss: 29.9203 - logits_profile_predictions_loss: 29.6841 - logcount_predictions_loss: 0.2362 68/266 [======>.......................] - ETA: 27s - loss: 29.8803 - logits_profile_predictions_loss: 29.6444 - logcount_predictions_loss: 0.2360 69/266 [======>.......................] - ETA: 26s - loss: 29.8561 - logits_profile_predictions_loss: 29.6189 - logcount_predictions_loss: 0.2373 70/266 [======>.......................] - ETA: 26s - loss: 29.8351 - logits_profile_predictions_loss: 29.5970 - logcount_predictions_loss: 0.2381 71/266 [=======>......................] - ETA: 26s - loss: 29.8616 - logits_profile_predictions_loss: 29.6237 - logcount_predictions_loss: 0.2379 72/266 [=======>......................] - ETA: 26s - loss: 29.8905 - logits_profile_predictions_loss: 29.6530 - logcount_predictions_loss: 0.2375 73/266 [=======>......................] - ETA: 26s - loss: 29.8898 - logits_profile_predictions_loss: 29.6522 - logcount_predictions_loss: 0.2376 74/266 [=======>......................] - ETA: 26s - loss: 29.9361 - logits_profile_predictions_loss: 29.6984 - logcount_predictions_loss: 0.2377 75/266 [=======>......................] - ETA: 26s - loss: 29.9232 - logits_profile_predictions_loss: 29.6851 - logcount_predictions_loss: 0.2381 76/266 [=======>......................] - ETA: 26s - loss: 29.9214 - logits_profile_predictions_loss: 29.6844 - logcount_predictions_loss: 0.2370 77/266 [=======>......................] - ETA: 25s - loss: 29.9360 - logits_profile_predictions_loss: 29.6995 - logcount_predictions_loss: 0.2365 78/266 [=======>......................] - ETA: 25s - loss: 30.0071 - logits_profile_predictions_loss: 29.7704 - logcount_predictions_loss: 0.2368 79/266 [=======>......................] - ETA: 25s - loss: 29.9896 - logits_profile_predictions_loss: 29.7534 - logcount_predictions_loss: 0.2362 80/266 [========>.....................] - ETA: 25s - loss: 29.9887 - logits_profile_predictions_loss: 29.7531 - logcount_predictions_loss: 0.2356 81/266 [========>.....................] - ETA: 25s - loss: 29.9806 - logits_profile_predictions_loss: 29.7454 - logcount_predictions_loss: 0.2352 82/266 [========>.....................] - ETA: 25s - loss: 29.9804 - logits_profile_predictions_loss: 29.7456 - logcount_predictions_loss: 0.2347 83/266 [========>.....................] - ETA: 25s - loss: 29.9702 - logits_profile_predictions_loss: 29.7364 - logcount_predictions_loss: 0.2337 84/266 [========>.....................] - ETA: 24s - loss: 30.0114 - logits_profile_predictions_loss: 29.7775 - logcount_predictions_loss: 0.2339 85/266 [========>.....................] - ETA: 24s - loss: 30.0026 - logits_profile_predictions_loss: 29.7695 - logcount_predictions_loss: 0.2332 86/266 [========>.....................] - ETA: 24s - loss: 30.0129 - logits_profile_predictions_loss: 29.7787 - logcount_predictions_loss: 0.2342 87/266 [========>.....................] - ETA: 24s - loss: 30.0098 - logits_profile_predictions_loss: 29.7740 - logcount_predictions_loss: 0.2358 88/266 [========>.....................] - ETA: 24s - loss: 30.0329 - logits_profile_predictions_loss: 29.7980 - logcount_predictions_loss: 0.2349 89/266 [=========>....................] - ETA: 24s - loss: 30.0563 - logits_profile_predictions_loss: 29.8216 - logcount_predictions_loss: 0.2347 90/266 [=========>....................] - ETA: 24s - loss: 30.0481 - logits_profile_predictions_loss: 29.8130 - logcount_predictions_loss: 0.2350 91/266 [=========>....................] - ETA: 23s - loss: 30.0198 - logits_profile_predictions_loss: 29.7851 - logcount_predictions_loss: 0.2347 92/266 [=========>....................] - ETA: 23s - loss: 30.0580 - logits_profile_predictions_loss: 29.8234 - logcount_predictions_loss: 0.2346 93/266 [=========>....................] - ETA: 23s - loss: 30.0813 - logits_profile_predictions_loss: 29.8458 - logcount_predictions_loss: 0.2355 94/266 [=========>....................] - ETA: 23s - loss: 30.0745 - logits_profile_predictions_loss: 29.8396 - logcount_predictions_loss: 0.2349 95/266 [=========>....................] - ETA: 23s - loss: 30.0470 - logits_profile_predictions_loss: 29.8124 - logcount_predictions_loss: 0.2345 96/266 [=========>....................] - ETA: 23s - loss: 30.0391 - logits_profile_predictions_loss: 29.8048 - logcount_predictions_loss: 0.2343 97/266 [=========>....................] - ETA: 23s - loss: 29.9959 - logits_profile_predictions_loss: 29.7623 - logcount_predictions_loss: 0.2336 98/266 [==========>...................] - ETA: 22s - loss: 29.9867 - logits_profile_predictions_loss: 29.7535 - logcount_predictions_loss: 0.2332 99/266 [==========>...................] - ETA: 22s - loss: 30.0169 - logits_profile_predictions_loss: 29.7833 - logcount_predictions_loss: 0.2336 100/266 [==========>...................] - ETA: 22s - loss: 30.0259 - logits_profile_predictions_loss: 29.7923 - logcount_predictions_loss: 0.2336 101/266 [==========>...................] - ETA: 22s - loss: 30.0315 - logits_profile_predictions_loss: 29.7985 - logcount_predictions_loss: 0.2331 102/266 [==========>...................] - ETA: 22s - loss: 30.0067 - logits_profile_predictions_loss: 29.7742 - logcount_predictions_loss: 0.2325 103/266 [==========>...................] - ETA: 22s - loss: 29.9830 - logits_profile_predictions_loss: 29.7506 - logcount_predictions_loss: 0.2324 104/266 [==========>...................] - ETA: 22s - loss: 29.9881 - logits_profile_predictions_loss: 29.7562 - logcount_predictions_loss: 0.2320 105/266 [==========>...................] - ETA: 22s - loss: 29.9760 - logits_profile_predictions_loss: 29.7440 - logcount_predictions_loss: 0.2320 106/266 [==========>...................] - ETA: 21s - loss: 29.9758 - logits_profile_predictions_loss: 29.7437 - logcount_predictions_loss: 0.2321 107/266 [===========>..................] - ETA: 21s - loss: 29.9426 - logits_profile_predictions_loss: 29.7107 - logcount_predictions_loss: 0.2319 108/266 [===========>..................] - ETA: 21s - loss: 29.9678 - logits_profile_predictions_loss: 29.7350 - logcount_predictions_loss: 0.2328 109/266 [===========>..................] - ETA: 21s - loss: 30.0022 - logits_profile_predictions_loss: 29.7681 - logcount_predictions_loss: 0.2341 110/266 [===========>..................] - ETA: 21s - loss: 30.0083 - logits_profile_predictions_loss: 29.7739 - logcount_predictions_loss: 0.2344 111/266 [===========>..................] - ETA: 21s - loss: 30.0266 - logits_profile_predictions_loss: 29.7923 - logcount_predictions_loss: 0.2343 112/266 [===========>..................] - ETA: 21s - loss: 30.0047 - logits_profile_predictions_loss: 29.7709 - logcount_predictions_loss: 0.2339 113/266 [===========>..................] - ETA: 20s - loss: 30.0126 - logits_profile_predictions_loss: 29.7786 - logcount_predictions_loss: 0.2340 115/266 [===========>..................] - ETA: 20s - loss: 30.0203 - logits_profile_predictions_loss: 29.7862 - logcount_predictions_loss: 0.2341 116/266 [============>.................] - ETA: 20s - loss: 30.0135 - logits_profile_predictions_loss: 29.7798 - logcount_predictions_loss: 0.2338 117/266 [============>.................] - ETA: 20s - loss: 29.9870 - logits_profile_predictions_loss: 29.7538 - logcount_predictions_loss: 0.2332 118/266 [============>.................] - ETA: 20s - loss: 30.0012 - logits_profile_predictions_loss: 29.7683 - logcount_predictions_loss: 0.2328 119/266 [============>.................] - ETA: 19s - loss: 30.0341 - logits_profile_predictions_loss: 29.8011 - logcount_predictions_loss: 0.2330 120/266 [============>.................] - ETA: 19s - loss: 30.0119 - logits_profile_predictions_loss: 29.7789 - logcount_predictions_loss: 0.2330 121/266 [============>.................] - ETA: 19s - loss: 30.0070 - logits_profile_predictions_loss: 29.7739 - logcount_predictions_loss: 0.2331 122/266 [============>.................] - ETA: 19s - loss: 30.0052 - logits_profile_predictions_loss: 29.7725 - logcount_predictions_loss: 0.2327 123/266 [============>.................] - ETA: 19s - loss: 30.0140 - logits_profile_predictions_loss: 29.7813 - logcount_predictions_loss: 0.2327 124/266 [============>.................] - ETA: 19s - loss: 30.0080 - logits_profile_predictions_loss: 29.7755 - logcount_predictions_loss: 0.2325 125/266 [=============>................] - ETA: 19s - loss: 29.9830 - logits_profile_predictions_loss: 29.7509 - logcount_predictions_loss: 0.2320 126/266 [=============>................] - ETA: 19s - loss: 29.9746 - logits_profile_predictions_loss: 29.7427 - logcount_predictions_loss: 0.2319 127/266 [=============>................] - ETA: 18s - loss: 29.9850 - logits_profile_predictions_loss: 29.7527 - logcount_predictions_loss: 0.2323 128/266 [=============>................] - ETA: 18s - loss: 29.9792 - logits_profile_predictions_loss: 29.7472 - logcount_predictions_loss: 0.2320 129/266 [=============>................] - ETA: 18s - loss: 29.9598 - logits_profile_predictions_loss: 29.7284 - logcount_predictions_loss: 0.2314 130/266 [=============>................] - ETA: 18s - loss: 29.9630 - logits_profile_predictions_loss: 29.7315 - logcount_predictions_loss: 0.2315 131/266 [=============>................] - ETA: 18s - loss: 29.9448 - logits_profile_predictions_loss: 29.7128 - logcount_predictions_loss: 0.2320 132/266 [=============>................] - ETA: 18s - loss: 29.9221 - logits_profile_predictions_loss: 29.6902 - logcount_predictions_loss: 0.2320 133/266 [==============>...............] - ETA: 18s - loss: 29.9279 - logits_profile_predictions_loss: 29.6958 - logcount_predictions_loss: 0.2321 134/266 [==============>...............] - ETA: 17s - loss: 29.9085 - logits_profile_predictions_loss: 29.6769 - logcount_predictions_loss: 0.2316 135/266 [==============>...............] - ETA: 17s - loss: 29.8990 - logits_profile_predictions_loss: 29.6666 - logcount_predictions_loss: 0.2324 136/266 [==============>...............] - ETA: 17s - loss: 29.8649 - logits_profile_predictions_loss: 29.6331 - logcount_predictions_loss: 0.2318 137/266 [==============>...............] - ETA: 17s - loss: 29.8358 - logits_profile_predictions_loss: 29.6044 - logcount_predictions_loss: 0.2314 138/266 [==============>...............] - ETA: 17s - loss: 29.8271 - logits_profile_predictions_loss: 29.5961 - logcount_predictions_loss: 0.2310 139/266 [==============>...............] - ETA: 17s - loss: 29.7892 - logits_profile_predictions_loss: 29.5590 - logcount_predictions_loss: 0.2302 140/266 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logits_profile_predictions_loss: 29.6500 - logcount_predictions_loss: 0.2298 262/266 [============================>.] - ETA: 0s - loss: 29.8860 - logits_profile_predictions_loss: 29.6562 - logcount_predictions_loss: 0.2298 263/266 [============================>.] - ETA: 0s - loss: 29.8843 - logits_profile_predictions_loss: 29.6545 - logcount_predictions_loss: 0.2298 264/266 [============================>.] - ETA: 0s - loss: 29.8802 - logits_profile_predictions_loss: 29.6502 - logcount_predictions_loss: 0.2300 265/266 [============================>.] - ETA: 0s - loss: 29.8841 - logits_profile_predictions_loss: 29.6543 - logcount_predictions_loss: 0.2298 266/266 [==============================] - ETA: 0s - loss: 29.8853 - logits_profile_predictions_loss: 29.6555 - logcount_predictions_loss: 0.2298 Epoch 7: val_loss improved from 33.03795 to 32.98759, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.adipocyte.I/fold_2/models/chrombpnet.h5  266/266 [==============================] - 39s 147ms/step - loss: 29.8853 - logits_profile_predictions_loss: 29.6555 - logcount_predictions_loss: 0.2298 - val_loss: 32.9876 - val_logits_profile_predictions_loss: 32.7718 - val_logcount_predictions_loss: 0.2158 Epoch 8/50 1/266 [..............................] - ETA: 39s - loss: 30.0043 - logits_profile_predictions_loss: 29.7515 - logcount_predictions_loss: 0.2528 2/266 [..............................] - ETA: 35s - loss: 30.0569 - logits_profile_predictions_loss: 29.8063 - logcount_predictions_loss: 0.2506 3/266 [..............................] - ETA: 35s - loss: 29.1420 - logits_profile_predictions_loss: 28.9186 - logcount_predictions_loss: 0.2234 4/266 [..............................] - ETA: 35s - loss: 29.9616 - logits_profile_predictions_loss: 29.7281 - logcount_predictions_loss: 0.2335 5/266 [..............................] - ETA: 35s - loss: 30.2580 - logits_profile_predictions_loss: 30.0294 - logcount_predictions_loss: 0.2286 6/266 [..............................] - ETA: 35s - loss: 30.1684 - logits_profile_predictions_loss: 29.9472 - logcount_predictions_loss: 0.2212 7/266 [..............................] - ETA: 35s - loss: 29.9888 - logits_profile_predictions_loss: 29.7639 - logcount_predictions_loss: 0.2249 8/266 [..............................] - ETA: 35s - loss: 29.9682 - logits_profile_predictions_loss: 29.7396 - logcount_predictions_loss: 0.2286 9/266 [>.............................] - ETA: 35s - loss: 30.3281 - logits_profile_predictions_loss: 30.1041 - logcount_predictions_loss: 0.2240 10/266 [>.............................] - ETA: 34s - loss: 30.6116 - logits_profile_predictions_loss: 30.3863 - logcount_predictions_loss: 0.2253 11/266 [>.............................] - ETA: 34s - loss: 30.5385 - logits_profile_predictions_loss: 30.3136 - 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[========================>.....] - ETA: 5s - loss: 29.8864 - logits_profile_predictions_loss: 29.6618 - logcount_predictions_loss: 0.2245 223/266 [========================>.....] - ETA: 5s - loss: 29.8950 - logits_profile_predictions_loss: 29.6703 - logcount_predictions_loss: 0.2246 224/266 [========================>.....] - ETA: 5s - loss: 29.9040 - logits_profile_predictions_loss: 29.6794 - logcount_predictions_loss: 0.2245 225/266 [========================>.....] - ETA: 5s - loss: 29.9047 - logits_profile_predictions_loss: 29.6803 - logcount_predictions_loss: 0.2244 226/266 [========================>.....] - ETA: 5s - loss: 29.8937 - logits_profile_predictions_loss: 29.6694 - logcount_predictions_loss: 0.2243 227/266 [========================>.....] - ETA: 5s - loss: 29.8923 - logits_profile_predictions_loss: 29.6679 - logcount_predictions_loss: 0.2244 228/266 [========================>.....] - ETA: 5s - loss: 29.8781 - logits_profile_predictions_loss: 29.6539 - 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[===========================>..] - ETA: 2s - loss: 29.9060 - logits_profile_predictions_loss: 29.6832 - logcount_predictions_loss: 0.2228 250/266 [===========================>..] - ETA: 2s - loss: 29.8980 - logits_profile_predictions_loss: 29.6753 - logcount_predictions_loss: 0.2227 251/266 [===========================>..] - ETA: 2s - loss: 29.8868 - logits_profile_predictions_loss: 29.6641 - logcount_predictions_loss: 0.2227 252/266 [===========================>..] - ETA: 1s - loss: 29.8751 - logits_profile_predictions_loss: 29.6524 - logcount_predictions_loss: 0.2226 253/266 [===========================>..] - ETA: 1s - loss: 29.8617 - logits_profile_predictions_loss: 29.6391 - logcount_predictions_loss: 0.2226 254/266 [===========================>..] - ETA: 1s - loss: 29.8610 - logits_profile_predictions_loss: 29.6384 - logcount_predictions_loss: 0.2225 255/266 [===========================>..] - ETA: 1s - loss: 29.8827 - logits_profile_predictions_loss: 29.6596 - logcount_predictions_loss: 0.2231 256/266 [===========================>..] - ETA: 1s - loss: 29.8755 - logits_profile_predictions_loss: 29.6522 - logcount_predictions_loss: 0.2233 257/266 [===========================>..] - ETA: 1s - loss: 29.8688 - logits_profile_predictions_loss: 29.6457 - logcount_predictions_loss: 0.2232 258/266 [============================>.] - ETA: 1s - loss: 29.8823 - logits_profile_predictions_loss: 29.6592 - logcount_predictions_loss: 0.2231 259/266 [============================>.] - ETA: 0s - loss: 29.8748 - logits_profile_predictions_loss: 29.6511 - logcount_predictions_loss: 0.2237 260/266 [============================>.] - ETA: 0s - loss: 29.8692 - logits_profile_predictions_loss: 29.6458 - logcount_predictions_loss: 0.2234 261/266 [============================>.] - ETA: 0s - loss: 29.8638 - logits_profile_predictions_loss: 29.6404 - logcount_predictions_loss: 0.2234 262/266 [============================>.] - ETA: 0s - loss: 29.8544 - logits_profile_predictions_loss: 29.6312 - logcount_predictions_loss: 0.2232 263/266 [============================>.] - ETA: 0s - loss: 29.8545 - logits_profile_predictions_loss: 29.6311 - logcount_predictions_loss: 0.2233 264/266 [============================>.] - ETA: 0s - loss: 29.8537 - logits_profile_predictions_loss: 29.6305 - logcount_predictions_loss: 0.2231 265/266 [============================>.] - ETA: 0s - loss: 29.8502 - logits_profile_predictions_loss: 29.6272 - logcount_predictions_loss: 0.2230 266/266 [==============================] - ETA: 0s - loss: 29.8611 - logits_profile_predictions_loss: 29.6382 - logcount_predictions_loss: 0.2229 Epoch 8: val_loss did not improve from 32.98759  266/266 [==============================] - 39s 146ms/step - loss: 29.8611 - logits_profile_predictions_loss: 29.6382 - logcount_predictions_loss: 0.2229 - val_loss: 33.0024 - val_logits_profile_predictions_loss: 32.8225 - val_logcount_predictions_loss: 0.1799 Epoch 9/50 1/266 [..............................] - ETA: 38s - loss: 30.0613 - logits_profile_predictions_loss: 29.9080 - logcount_predictions_loss: 0.1534 2/266 [..............................] - ETA: 35s - loss: 31.1464 - logits_profile_predictions_loss: 30.9714 - logcount_predictions_loss: 0.1750 3/266 [..............................] - ETA: 35s - loss: 30.0183 - logits_profile_predictions_loss: 29.8438 - logcount_predictions_loss: 0.1744 4/266 [..............................] - ETA: 35s - loss: 29.7146 - logits_profile_predictions_loss: 29.5348 - logcount_predictions_loss: 0.1799 5/266 [..............................] - ETA: 35s - loss: 30.0771 - logits_profile_predictions_loss: 29.8795 - logcount_predictions_loss: 0.1976 6/266 [..............................] - ETA: 35s - loss: 29.5201 - logits_profile_predictions_loss: 29.3144 - logcount_predictions_loss: 0.2057 7/266 [..............................] - ETA: 35s - loss: 29.6036 - logits_profile_predictions_loss: 29.3967 - 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logits_profile_predictions_loss: 29.0633 - logcount_predictions_loss: 0.2085 15/266 [>.............................] - ETA: 34s - loss: 29.5676 - logits_profile_predictions_loss: 29.3570 - logcount_predictions_loss: 0.2105 16/266 [>.............................] - ETA: 34s - loss: 29.3279 - logits_profile_predictions_loss: 29.1131 - logcount_predictions_loss: 0.2148 17/266 [>.............................] - ETA: 33s - loss: 29.2326 - logits_profile_predictions_loss: 29.0194 - logcount_predictions_loss: 0.2132 18/266 [=>............................] - ETA: 33s - loss: 29.1221 - logits_profile_predictions_loss: 28.9132 - logcount_predictions_loss: 0.2089 19/266 [=>............................] - ETA: 33s - loss: 29.2944 - logits_profile_predictions_loss: 29.0864 - logcount_predictions_loss: 0.2080 20/266 [=>............................] - ETA: 33s - loss: 29.3528 - logits_profile_predictions_loss: 29.1461 - logcount_predictions_loss: 0.2068 21/266 [=>............................] - ETA: 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[==>...........................] - ETA: 32s - loss: 29.3505 - logits_profile_predictions_loss: 29.1457 - logcount_predictions_loss: 0.2048 29/266 [==>...........................] - ETA: 32s - loss: 29.4837 - logits_profile_predictions_loss: 29.2770 - logcount_predictions_loss: 0.2067 30/266 [==>...........................] - ETA: 32s - loss: 29.4658 - logits_profile_predictions_loss: 29.2572 - logcount_predictions_loss: 0.2086 31/266 [==>...........................] - ETA: 32s - loss: 29.4606 - logits_profile_predictions_loss: 29.2519 - logcount_predictions_loss: 0.2087 32/266 [==>...........................] - ETA: 31s - loss: 29.3687 - logits_profile_predictions_loss: 29.1598 - logcount_predictions_loss: 0.2089 33/266 [==>...........................] - ETA: 31s - loss: 29.4224 - logits_profile_predictions_loss: 29.2126 - logcount_predictions_loss: 0.2098 34/266 [==>...........................] - ETA: 31s - loss: 29.3853 - logits_profile_predictions_loss: 29.1758 - 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logits_profile_predictions_loss: 29.2273 - logcount_predictions_loss: 0.2064 42/266 [===>..........................] - ETA: 30s - loss: 29.4444 - logits_profile_predictions_loss: 29.2373 - logcount_predictions_loss: 0.2071 43/266 [===>..........................] - ETA: 30s - loss: 29.4267 - logits_profile_predictions_loss: 29.2194 - logcount_predictions_loss: 0.2073 44/266 [===>..........................] - ETA: 30s - loss: 29.4645 - logits_profile_predictions_loss: 29.2568 - logcount_predictions_loss: 0.2078 45/266 [====>.........................] - ETA: 30s - loss: 29.3983 - logits_profile_predictions_loss: 29.1897 - logcount_predictions_loss: 0.2086 46/266 [====>.........................] - ETA: 29s - loss: 29.4111 - logits_profile_predictions_loss: 29.2022 - logcount_predictions_loss: 0.2089 47/266 [====>.........................] - ETA: 29s - loss: 29.3470 - logits_profile_predictions_loss: 29.1382 - logcount_predictions_loss: 0.2088 48/266 [====>.........................] - ETA: 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[=======================>......] - ETA: 6s - loss: 29.5220 - logits_profile_predictions_loss: 29.3005 - logcount_predictions_loss: 0.2216 219/266 [=======================>......] - ETA: 6s - loss: 29.5328 - logits_profile_predictions_loss: 29.3109 - logcount_predictions_loss: 0.2218 220/266 [=======================>......] - ETA: 6s - loss: 29.5318 - logits_profile_predictions_loss: 29.3103 - logcount_predictions_loss: 0.2214 221/266 [=======================>......] - ETA: 6s - loss: 29.5229 - logits_profile_predictions_loss: 29.3014 - logcount_predictions_loss: 0.2215 222/266 [========================>.....] - ETA: 5s - loss: 29.5314 - logits_profile_predictions_loss: 29.3099 - logcount_predictions_loss: 0.2216 223/266 [========================>.....] - ETA: 5s - loss: 29.5259 - logits_profile_predictions_loss: 29.3044 - logcount_predictions_loss: 0.2215 224/266 [========================>.....] - ETA: 5s - loss: 29.5394 - logits_profile_predictions_loss: 29.3178 - logcount_predictions_loss: 0.2215 225/266 [========================>.....] - ETA: 5s - loss: 29.5407 - logits_profile_predictions_loss: 29.3192 - logcount_predictions_loss: 0.2215 226/266 [========================>.....] - ETA: 5s - loss: 29.5367 - logits_profile_predictions_loss: 29.3154 - logcount_predictions_loss: 0.2213 227/266 [========================>.....] - ETA: 5s - loss: 29.5642 - logits_profile_predictions_loss: 29.3428 - logcount_predictions_loss: 0.2214 228/266 [========================>.....] - ETA: 5s - loss: 29.5586 - logits_profile_predictions_loss: 29.3373 - logcount_predictions_loss: 0.2213 229/266 [========================>.....] - ETA: 5s - loss: 29.5512 - logits_profile_predictions_loss: 29.3300 - logcount_predictions_loss: 0.2212 230/266 [========================>.....] - ETA: 4s - loss: 29.5623 - logits_profile_predictions_loss: 29.3410 - logcount_predictions_loss: 0.2214 231/266 [=========================>....] - ETA: 4s - loss: 29.5589 - logits_profile_predictions_loss: 29.3375 - logcount_predictions_loss: 0.2213 232/266 [=========================>....] - ETA: 4s - loss: 29.5485 - logits_profile_predictions_loss: 29.3272 - logcount_predictions_loss: 0.2213 233/266 [=========================>....] - ETA: 4s - loss: 29.5439 - logits_profile_predictions_loss: 29.3227 - logcount_predictions_loss: 0.2212 234/266 [=========================>....] - ETA: 4s - loss: 29.5372 - logits_profile_predictions_loss: 29.3159 - logcount_predictions_loss: 0.2213 235/266 [=========================>....] - ETA: 4s - loss: 29.5477 - logits_profile_predictions_loss: 29.3262 - logcount_predictions_loss: 0.2215 236/266 [=========================>....] - ETA: 4s - loss: 29.5435 - logits_profile_predictions_loss: 29.3221 - logcount_predictions_loss: 0.2214 237/266 [=========================>....] - ETA: 3s - loss: 29.5212 - logits_profile_predictions_loss: 29.2999 - logcount_predictions_loss: 0.2213 238/266 [=========================>....] - ETA: 3s - loss: 29.5382 - logits_profile_predictions_loss: 29.3171 - logcount_predictions_loss: 0.2212 239/266 [=========================>....] - ETA: 3s - loss: 29.5301 - logits_profile_predictions_loss: 29.3092 - logcount_predictions_loss: 0.2209 240/266 [==========================>...] - ETA: 3s - loss: 29.5300 - logits_profile_predictions_loss: 29.3091 - logcount_predictions_loss: 0.2209 241/266 [==========================>...] - ETA: 3s - loss: 29.5320 - logits_profile_predictions_loss: 29.3109 - logcount_predictions_loss: 0.2211 242/266 [==========================>...] - ETA: 3s - loss: 29.5278 - logits_profile_predictions_loss: 29.3068 - logcount_predictions_loss: 0.2210 243/266 [==========================>...] - ETA: 3s - loss: 29.5351 - logits_profile_predictions_loss: 29.3143 - logcount_predictions_loss: 0.2208 244/266 [==========================>...] - ETA: 2s - loss: 29.5246 - logits_profile_predictions_loss: 29.3040 - logcount_predictions_loss: 0.2207 245/266 [==========================>...] - ETA: 2s - loss: 29.5266 - logits_profile_predictions_loss: 29.3054 - logcount_predictions_loss: 0.2213 246/266 [==========================>...] - ETA: 2s - loss: 29.5291 - logits_profile_predictions_loss: 29.3076 - logcount_predictions_loss: 0.2215 247/266 [==========================>...] - ETA: 2s - loss: 29.5177 - logits_profile_predictions_loss: 29.2966 - logcount_predictions_loss: 0.2211 248/266 [==========================>...] - ETA: 2s - loss: 29.5185 - logits_profile_predictions_loss: 29.2974 - logcount_predictions_loss: 0.2211 249/266 [===========================>..] - ETA: 2s - loss: 29.5162 - logits_profile_predictions_loss: 29.2950 - logcount_predictions_loss: 0.2213 250/266 [===========================>..] - ETA: 2s - loss: 29.5310 - logits_profile_predictions_loss: 29.3092 - logcount_predictions_loss: 0.2218 251/266 [===========================>..] - ETA: 2s - loss: 29.5272 - logits_profile_predictions_loss: 29.3054 - logcount_predictions_loss: 0.2217 252/266 [===========================>..] - ETA: 1s - loss: 29.5276 - logits_profile_predictions_loss: 29.3057 - logcount_predictions_loss: 0.2219 253/266 [===========================>..] - ETA: 1s - loss: 29.5180 - logits_profile_predictions_loss: 29.2962 - logcount_predictions_loss: 0.2217 254/266 [===========================>..] - ETA: 1s - loss: 29.5247 - logits_profile_predictions_loss: 29.3028 - logcount_predictions_loss: 0.2219 255/266 [===========================>..] - ETA: 1s - loss: 29.5119 - logits_profile_predictions_loss: 29.2897 - logcount_predictions_loss: 0.2222 256/266 [===========================>..] - ETA: 1s - loss: 29.4964 - logits_profile_predictions_loss: 29.2745 - logcount_predictions_loss: 0.2219 257/266 [===========================>..] - ETA: 1s - loss: 29.4971 - logits_profile_predictions_loss: 29.2753 - logcount_predictions_loss: 0.2219 258/266 [============================>.] - ETA: 1s - loss: 29.4861 - logits_profile_predictions_loss: 29.2642 - logcount_predictions_loss: 0.2219 259/266 [============================>.] - ETA: 0s - loss: 29.4870 - logits_profile_predictions_loss: 29.2650 - logcount_predictions_loss: 0.2220 260/266 [============================>.] - ETA: 0s - loss: 29.4824 - logits_profile_predictions_loss: 29.2604 - logcount_predictions_loss: 0.2219 261/266 [============================>.] - ETA: 0s - loss: 29.4882 - logits_profile_predictions_loss: 29.2663 - logcount_predictions_loss: 0.2219 262/266 [============================>.] - ETA: 0s - loss: 29.4787 - logits_profile_predictions_loss: 29.2569 - logcount_predictions_loss: 0.2218 263/266 [============================>.] - ETA: 0s - loss: 29.4827 - logits_profile_predictions_loss: 29.2610 - logcount_predictions_loss: 0.2217 264/266 [============================>.] - ETA: 0s - loss: 29.4810 - logits_profile_predictions_loss: 29.2593 - logcount_predictions_loss: 0.2216 265/266 [============================>.] - ETA: 0s - loss: 29.4772 - logits_profile_predictions_loss: 29.2553 - logcount_predictions_loss: 0.2219 266/266 [==============================] - ETA: 0s - loss: 29.4864 - logits_profile_predictions_loss: 29.2645 - logcount_predictions_loss: 0.2219 Epoch 9: val_loss did not improve from 32.98759  266/266 [==============================] - 39s 146ms/step - loss: 29.4864 - logits_profile_predictions_loss: 29.2645 - logcount_predictions_loss: 0.2219 - val_loss: 33.3956 - val_logits_profile_predictions_loss: 33.1851 - val_logcount_predictions_loss: 0.2105 Epoch 10/50 1/266 [..............................] - ETA: 39s - loss: 31.7863 - logits_profile_predictions_loss: 31.6315 - logcount_predictions_loss: 0.1548 2/266 [..............................] - ETA: 36s - loss: 29.6072 - logits_profile_predictions_loss: 29.4395 - logcount_predictions_loss: 0.1677 3/266 [..............................] - ETA: 35s - loss: 31.0156 - logits_profile_predictions_loss: 30.8123 - logcount_predictions_loss: 0.2033 4/266 [..............................] - ETA: 35s - loss: 30.7966 - logits_profile_predictions_loss: 30.5912 - logcount_predictions_loss: 0.2053 5/266 [..............................] - ETA: 35s - loss: 29.9582 - logits_profile_predictions_loss: 29.7620 - logcount_predictions_loss: 0.1962 6/266 [..............................] - ETA: 35s - loss: 29.9416 - logits_profile_predictions_loss: 29.7413 - logcount_predictions_loss: 0.2003 7/266 [..............................] - ETA: 35s - loss: 30.0034 - logits_profile_predictions_loss: 29.8026 - logcount_predictions_loss: 0.2007 8/266 [..............................] - ETA: 35s - loss: 29.8332 - logits_profile_predictions_loss: 29.6324 - logcount_predictions_loss: 0.2008 9/266 [>.............................] - ETA: 35s - loss: 29.6208 - logits_profile_predictions_loss: 29.4274 - logcount_predictions_loss: 0.1933 10/266 [>.............................] - ETA: 34s - loss: 29.8177 - logits_profile_predictions_loss: 29.6205 - logcount_predictions_loss: 0.1972 11/266 [>.............................] - ETA: 34s - loss: 29.9189 - logits_profile_predictions_loss: 29.7197 - logcount_predictions_loss: 0.1991 12/266 [>.............................] - ETA: 34s - loss: 29.8227 - logits_profile_predictions_loss: 29.6168 - logcount_predictions_loss: 0.2059 13/266 [>.............................] - ETA: 34s - loss: 29.6981 - logits_profile_predictions_loss: 29.4905 - logcount_predictions_loss: 0.2076 14/266 [>.............................] - ETA: 34s - loss: 29.3867 - logits_profile_predictions_loss: 29.1779 - logcount_predictions_loss: 0.2088 15/266 [>.............................] - ETA: 34s - loss: 29.4142 - logits_profile_predictions_loss: 29.2041 - logcount_predictions_loss: 0.2101 16/266 [>.............................] - ETA: 34s - loss: 29.3978 - logits_profile_predictions_loss: 29.1892 - logcount_predictions_loss: 0.2086 17/266 [>.............................] - ETA: 34s - loss: 29.4330 - logits_profile_predictions_loss: 29.2235 - logcount_predictions_loss: 0.2095 18/266 [=>............................] - ETA: 33s - loss: 29.6798 - logits_profile_predictions_loss: 29.4694 - logcount_predictions_loss: 0.2104 19/266 [=>............................] - ETA: 33s - loss: 29.4734 - logits_profile_predictions_loss: 29.2630 - logcount_predictions_loss: 0.2104 20/266 [=>............................] - ETA: 33s - loss: 29.5409 - logits_profile_predictions_loss: 29.3304 - logcount_predictions_loss: 0.2105 21/266 [=>............................] - ETA: 33s - loss: 29.5833 - logits_profile_predictions_loss: 29.3704 - logcount_predictions_loss: 0.2129 22/266 [=>............................] - ETA: 33s - loss: 29.5254 - logits_profile_predictions_loss: 29.3148 - logcount_predictions_loss: 0.2107 23/266 [=>............................] - ETA: 33s - loss: 29.5552 - logits_profile_predictions_loss: 29.3462 - logcount_predictions_loss: 0.2090 24/266 [=>............................] - ETA: 33s - loss: 29.3486 - logits_profile_predictions_loss: 29.1421 - logcount_predictions_loss: 0.2066 25/266 [=>............................] - ETA: 32s - loss: 29.2800 - logits_profile_predictions_loss: 29.0721 - logcount_predictions_loss: 0.2079 26/266 [=>............................] - ETA: 32s - loss: 29.2581 - logits_profile_predictions_loss: 29.0503 - logcount_predictions_loss: 0.2078 27/266 [==>...........................] - ETA: 32s - loss: 29.1314 - logits_profile_predictions_loss: 28.9245 - logcount_predictions_loss: 0.2069 28/266 [==>...........................] - ETA: 32s - loss: 29.1174 - logits_profile_predictions_loss: 28.9095 - logcount_predictions_loss: 0.2079 29/266 [==>...........................] - ETA: 32s - loss: 29.0790 - logits_profile_predictions_loss: 28.8724 - logcount_predictions_loss: 0.2066 30/266 [==>...........................] - ETA: 32s - loss: 29.0492 - logits_profile_predictions_loss: 28.8431 - logcount_predictions_loss: 0.2061 31/266 [==>...........................] - ETA: 32s - loss: 29.0059 - logits_profile_predictions_loss: 28.7998 - logcount_predictions_loss: 0.2061 32/266 [==>...........................] - ETA: 31s - loss: 28.9561 - logits_profile_predictions_loss: 28.7509 - logcount_predictions_loss: 0.2052 33/266 [==>...........................] - ETA: 31s - loss: 28.9550 - logits_profile_predictions_loss: 28.7485 - logcount_predictions_loss: 0.2065 34/266 [==>...........................] - ETA: 31s - loss: 28.8807 - logits_profile_predictions_loss: 28.6714 - logcount_predictions_loss: 0.2093 35/266 [==>...........................] - ETA: 31s - loss: 28.9655 - logits_profile_predictions_loss: 28.7565 - logcount_predictions_loss: 0.2090 36/266 [===>..........................] - ETA: 31s - loss: 29.0537 - logits_profile_predictions_loss: 28.8442 - logcount_predictions_loss: 0.2095 37/266 [===>..........................] - ETA: 31s - loss: 29.0942 - logits_profile_predictions_loss: 28.8853 - 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logits_profile_predictions_loss: 28.9859 - logcount_predictions_loss: 0.2183 45/266 [====>.........................] - ETA: 30s - loss: 29.1354 - logits_profile_predictions_loss: 28.9171 - logcount_predictions_loss: 0.2183 46/266 [====>.........................] - ETA: 30s - loss: 29.1137 - logits_profile_predictions_loss: 28.8951 - logcount_predictions_loss: 0.2186 47/266 [====>.........................] - ETA: 29s - loss: 29.0839 - logits_profile_predictions_loss: 28.8655 - logcount_predictions_loss: 0.2184 48/266 [====>.........................] - ETA: 29s - loss: 29.1246 - logits_profile_predictions_loss: 28.9034 - logcount_predictions_loss: 0.2212 49/266 [====>.........................] - ETA: 29s - loss: 29.1514 - logits_profile_predictions_loss: 28.9294 - logcount_predictions_loss: 0.2220 50/266 [====>.........................] - ETA: 29s - loss: 29.1716 - logits_profile_predictions_loss: 28.9510 - logcount_predictions_loss: 0.2206 51/266 [====>.........................] - ETA: 29s - loss: 29.2075 - logits_profile_predictions_loss: 28.9875 - logcount_predictions_loss: 0.2200 52/266 [====>.........................] - ETA: 29s - loss: 29.2094 - logits_profile_predictions_loss: 28.9898 - logcount_predictions_loss: 0.2196 53/266 [====>.........................] - ETA: 29s - loss: 29.1452 - logits_profile_predictions_loss: 28.9259 - logcount_predictions_loss: 0.2193 54/266 [=====>........................] - ETA: 28s - loss: 29.1338 - logits_profile_predictions_loss: 28.9150 - logcount_predictions_loss: 0.2188 55/266 [=====>........................] - ETA: 28s - loss: 29.1356 - logits_profile_predictions_loss: 28.9162 - logcount_predictions_loss: 0.2194 56/266 [=====>........................] - ETA: 28s - loss: 29.1378 - logits_profile_predictions_loss: 28.9193 - logcount_predictions_loss: 0.2185 57/266 [=====>........................] - ETA: 28s - loss: 29.1573 - logits_profile_predictions_loss: 28.9390 - logcount_predictions_loss: 0.2184 58/266 [=====>........................] - ETA: 28s - loss: 29.1478 - logits_profile_predictions_loss: 28.9300 - logcount_predictions_loss: 0.2179 59/266 [=====>........................] - ETA: 28s - loss: 29.1564 - logits_profile_predictions_loss: 28.9400 - logcount_predictions_loss: 0.2163 60/266 [=====>........................] - ETA: 28s - loss: 29.1516 - logits_profile_predictions_loss: 28.9363 - logcount_predictions_loss: 0.2153 61/266 [=====>........................] - ETA: 27s - loss: 29.1251 - logits_profile_predictions_loss: 28.9100 - logcount_predictions_loss: 0.2151 62/266 [=====>........................] - ETA: 27s - loss: 29.1284 - logits_profile_predictions_loss: 28.9131 - logcount_predictions_loss: 0.2153 63/266 [======>.......................] - ETA: 27s - loss: 29.1302 - logits_profile_predictions_loss: 28.9149 - logcount_predictions_loss: 0.2154 64/266 [======>.......................] - ETA: 27s - loss: 29.1348 - logits_profile_predictions_loss: 28.9190 - logcount_predictions_loss: 0.2158 65/266 [======>.......................] - ETA: 27s - loss: 29.1318 - logits_profile_predictions_loss: 28.9162 - logcount_predictions_loss: 0.2156 66/266 [======>.......................] - ETA: 27s - loss: 29.0608 - logits_profile_predictions_loss: 28.8466 - logcount_predictions_loss: 0.2142 67/266 [======>.......................] - ETA: 27s - loss: 28.9501 - logits_profile_predictions_loss: 28.7364 - logcount_predictions_loss: 0.2137 68/266 [======>.......................] - ETA: 27s - loss: 28.9510 - logits_profile_predictions_loss: 28.7362 - logcount_predictions_loss: 0.2148 69/266 [======>.......................] - ETA: 26s - loss: 28.8990 - logits_profile_predictions_loss: 28.6847 - logcount_predictions_loss: 0.2143 70/266 [======>.......................] - ETA: 26s - loss: 28.9163 - logits_profile_predictions_loss: 28.7025 - logcount_predictions_loss: 0.2138 71/266 [=======>......................] - ETA: 26s - loss: 28.9101 - logits_profile_predictions_loss: 28.6958 - logcount_predictions_loss: 0.2143 72/266 [=======>......................] - ETA: 26s - loss: 28.8528 - logits_profile_predictions_loss: 28.6381 - logcount_predictions_loss: 0.2148 73/266 [=======>......................] - ETA: 26s - loss: 28.8407 - logits_profile_predictions_loss: 28.6269 - logcount_predictions_loss: 0.2139 74/266 [=======>......................] - ETA: 26s - loss: 28.8579 - logits_profile_predictions_loss: 28.6448 - logcount_predictions_loss: 0.2132 75/266 [=======>......................] - ETA: 26s - loss: 28.8573 - logits_profile_predictions_loss: 28.6435 - logcount_predictions_loss: 0.2138 76/266 [=======>......................] - ETA: 25s - loss: 28.8207 - logits_profile_predictions_loss: 28.6072 - logcount_predictions_loss: 0.2134 77/266 [=======>......................] - ETA: 25s - loss: 28.8471 - logits_profile_predictions_loss: 28.6339 - logcount_predictions_loss: 0.2132 78/266 [=======>......................] - ETA: 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3s - loss: 29.1456 - logits_profile_predictions_loss: 28.9220 - logcount_predictions_loss: 0.2236 242/266 [==========================>...] - ETA: 3s - loss: 29.1444 - logits_profile_predictions_loss: 28.9212 - logcount_predictions_loss: 0.2232 243/266 [==========================>...] - ETA: 3s - loss: 29.1470 - logits_profile_predictions_loss: 28.9235 - logcount_predictions_loss: 0.2235 244/266 [==========================>...] - ETA: 2s - loss: 29.1420 - logits_profile_predictions_loss: 28.9185 - logcount_predictions_loss: 0.2235 245/266 [==========================>...] - ETA: 2s - loss: 29.1377 - logits_profile_predictions_loss: 28.9144 - logcount_predictions_loss: 0.2233 246/266 [==========================>...] - ETA: 2s - loss: 29.1431 - logits_profile_predictions_loss: 28.9198 - logcount_predictions_loss: 0.2234 247/266 [==========================>...] - ETA: 2s - loss: 29.1448 - logits_profile_predictions_loss: 28.9212 - logcount_predictions_loss: 0.2237 248/266 [==========================>...] - ETA: 2s - loss: 29.1376 - logits_profile_predictions_loss: 28.9141 - logcount_predictions_loss: 0.2235 249/266 [===========================>..] - ETA: 2s - loss: 29.1399 - logits_profile_predictions_loss: 28.9164 - logcount_predictions_loss: 0.2235 250/266 [===========================>..] - ETA: 2s - loss: 29.1215 - logits_profile_predictions_loss: 28.8983 - logcount_predictions_loss: 0.2232 251/266 [===========================>..] - ETA: 2s - loss: 29.1307 - logits_profile_predictions_loss: 28.9072 - logcount_predictions_loss: 0.2235 252/266 [===========================>..] - ETA: 1s - loss: 29.1474 - logits_profile_predictions_loss: 28.9238 - logcount_predictions_loss: 0.2236 253/266 [===========================>..] - ETA: 1s - loss: 29.1481 - logits_profile_predictions_loss: 28.9248 - logcount_predictions_loss: 0.2233 254/266 [===========================>..] - ETA: 1s - loss: 29.1548 - logits_profile_predictions_loss: 28.9313 - logcount_predictions_loss: 0.2234 255/266 [===========================>..] - ETA: 1s - loss: 29.1470 - logits_profile_predictions_loss: 28.9233 - logcount_predictions_loss: 0.2237 256/266 [===========================>..] - ETA: 1s - loss: 29.1546 - logits_profile_predictions_loss: 28.9308 - logcount_predictions_loss: 0.2239 257/266 [===========================>..] - ETA: 1s - loss: 29.1774 - logits_profile_predictions_loss: 28.9536 - logcount_predictions_loss: 0.2238 258/266 [============================>.] - ETA: 1s - loss: 29.1779 - logits_profile_predictions_loss: 28.9544 - logcount_predictions_loss: 0.2235 259/266 [============================>.] - ETA: 0s - loss: 29.1836 - logits_profile_predictions_loss: 28.9601 - logcount_predictions_loss: 0.2235 260/266 [============================>.] - ETA: 0s - loss: 29.1865 - logits_profile_predictions_loss: 28.9628 - logcount_predictions_loss: 0.2237 261/266 [============================>.] - ETA: 0s - loss: 29.1800 - logits_profile_predictions_loss: 28.9561 - logcount_predictions_loss: 0.2239 262/266 [============================>.] - ETA: 0s - loss: 29.2219 - logits_profile_predictions_loss: 28.9976 - logcount_predictions_loss: 0.2243 263/266 [============================>.] - ETA: 0s - loss: 29.2082 - logits_profile_predictions_loss: 28.9840 - logcount_predictions_loss: 0.2242 264/266 [============================>.] - ETA: 0s - loss: 29.2155 - logits_profile_predictions_loss: 28.9912 - logcount_predictions_loss: 0.2243 265/266 [============================>.] - ETA: 0s - loss: 29.2341 - logits_profile_predictions_loss: 29.0099 - logcount_predictions_loss: 0.2242 266/266 [==============================] - ETA: 0s - loss: 29.2325 - logits_profile_predictions_loss: 29.0085 - logcount_predictions_loss: 0.2241 Epoch 10: val_loss did not improve from 32.98759  266/266 [==============================] - 39s 146ms/step - loss: 29.2325 - logits_profile_predictions_loss: 29.0085 - logcount_predictions_loss: 0.2241 - val_loss: 33.7122 - val_logits_profile_predictions_loss: 33.5206 - val_logcount_predictions_loss: 0.1917 Epoch 11/50 1/266 [..............................] - ETA: 38s - loss: 29.2191 - logits_profile_predictions_loss: 28.8602 - logcount_predictions_loss: 0.3588 2/266 [..............................] - ETA: 35s - loss: 27.5807 - logits_profile_predictions_loss: 27.2773 - logcount_predictions_loss: 0.3034 3/266 [..............................] - ETA: 35s - loss: 27.5937 - logits_profile_predictions_loss: 27.3382 - logcount_predictions_loss: 0.2555 4/266 [..............................] - ETA: 35s - loss: 28.5433 - logits_profile_predictions_loss: 28.2971 - logcount_predictions_loss: 0.2462 5/266 [..............................] - ETA: 35s - loss: 28.1712 - logits_profile_predictions_loss: 27.9394 - logcount_predictions_loss: 0.2318 6/266 [..............................] - ETA: 35s - loss: 28.4318 - logits_profile_predictions_loss: 28.2021 - logcount_predictions_loss: 0.2297 7/266 [..............................] - ETA: 35s - loss: 28.3451 - logits_profile_predictions_loss: 28.1161 - logcount_predictions_loss: 0.2290 8/266 [..............................] - ETA: 35s - loss: 28.3705 - logits_profile_predictions_loss: 28.1491 - logcount_predictions_loss: 0.2214 9/266 [>.............................] - ETA: 35s - loss: 28.5202 - logits_profile_predictions_loss: 28.3015 - logcount_predictions_loss: 0.2188 10/266 [>.............................] - ETA: 34s - loss: 28.7161 - logits_profile_predictions_loss: 28.4901 - logcount_predictions_loss: 0.2261 11/266 [>.............................] - ETA: 34s - loss: 28.5334 - logits_profile_predictions_loss: 28.3092 - logcount_predictions_loss: 0.2242 12/266 [>.............................] - ETA: 34s - loss: 28.2521 - logits_profile_predictions_loss: 28.0292 - logcount_predictions_loss: 0.2229 13/266 [>.............................] - ETA: 34s - loss: 28.3698 - logits_profile_predictions_loss: 28.1482 - logcount_predictions_loss: 0.2216 14/266 [>.............................] - ETA: 34s - loss: 28.4873 - logits_profile_predictions_loss: 28.2677 - logcount_predictions_loss: 0.2196 15/266 [>.............................] - ETA: 34s - loss: 28.3010 - logits_profile_predictions_loss: 28.0818 - logcount_predictions_loss: 0.2193 16/266 [>.............................] - ETA: 34s - loss: 28.0561 - logits_profile_predictions_loss: 27.8343 - logcount_predictions_loss: 0.2218 17/266 [>.............................] - ETA: 33s - loss: 27.9207 - logits_profile_predictions_loss: 27.6964 - logcount_predictions_loss: 0.2243 18/266 [=>............................] - ETA: 33s - loss: 27.7650 - logits_profile_predictions_loss: 27.5425 - logcount_predictions_loss: 0.2225 19/266 [=>............................] - ETA: 33s - loss: 27.7015 - logits_profile_predictions_loss: 27.4808 - logcount_predictions_loss: 0.2207 20/266 [=>............................] - ETA: 33s - loss: 27.9126 - logits_profile_predictions_loss: 27.6823 - logcount_predictions_loss: 0.2303 21/266 [=>............................] - ETA: 33s - loss: 27.9264 - logits_profile_predictions_loss: 27.6938 - logcount_predictions_loss: 0.2326 22/266 [=>............................] - ETA: 33s - loss: 28.0615 - logits_profile_predictions_loss: 27.8266 - logcount_predictions_loss: 0.2350 23/266 [=>............................] - ETA: 33s - loss: 28.0689 - logits_profile_predictions_loss: 27.8358 - logcount_predictions_loss: 0.2331 24/266 [=>............................] - ETA: 32s - loss: 28.2539 - logits_profile_predictions_loss: 28.0217 - logcount_predictions_loss: 0.2322 25/266 [=>............................] - ETA: 32s - loss: 28.2225 - logits_profile_predictions_loss: 27.9885 - logcount_predictions_loss: 0.2340 26/266 [=>............................] - ETA: 32s - loss: 28.1805 - logits_profile_predictions_loss: 27.9440 - logcount_predictions_loss: 0.2366 27/266 [==>...........................] - ETA: 32s - loss: 28.1430 - logits_profile_predictions_loss: 27.9073 - logcount_predictions_loss: 0.2357 28/266 [==>...........................] - ETA: 32s - loss: 28.2446 - logits_profile_predictions_loss: 28.0084 - logcount_predictions_loss: 0.2362 29/266 [==>...........................] - ETA: 32s - loss: 28.2274 - logits_profile_predictions_loss: 27.9933 - logcount_predictions_loss: 0.2341 30/266 [==>...........................] - ETA: 32s - loss: 28.3555 - logits_profile_predictions_loss: 28.1215 - logcount_predictions_loss: 0.2340 31/266 [==>...........................] - ETA: 32s - loss: 28.2565 - logits_profile_predictions_loss: 28.0224 - logcount_predictions_loss: 0.2342 32/266 [==>...........................] - ETA: 31s - loss: 28.3743 - logits_profile_predictions_loss: 28.1387 - logcount_predictions_loss: 0.2356 33/266 [==>...........................] - ETA: 31s - loss: 28.5015 - logits_profile_predictions_loss: 28.2662 - logcount_predictions_loss: 0.2353 34/266 [==>...........................] - ETA: 31s - loss: 28.5868 - logits_profile_predictions_loss: 28.3499 - logcount_predictions_loss: 0.2368 35/266 [==>...........................] - ETA: 31s - loss: 28.5539 - logits_profile_predictions_loss: 28.3172 - logcount_predictions_loss: 0.2366 36/266 [===>..........................] - ETA: 31s - loss: 28.5154 - logits_profile_predictions_loss: 28.2802 - logcount_predictions_loss: 0.2353 37/266 [===>..........................] - ETA: 31s - loss: 28.5398 - logits_profile_predictions_loss: 28.3030 - logcount_predictions_loss: 0.2368 38/266 [===>..........................] - ETA: 31s - loss: 28.5567 - logits_profile_predictions_loss: 28.3209 - logcount_predictions_loss: 0.2358 39/266 [===>..........................] - ETA: 30s - loss: 28.5895 - logits_profile_predictions_loss: 28.3547 - logcount_predictions_loss: 0.2349 40/266 [===>..........................] - ETA: 30s - loss: 28.5869 - logits_profile_predictions_loss: 28.3528 - logcount_predictions_loss: 0.2340 41/266 [===>..........................] - ETA: 30s - loss: 28.6484 - logits_profile_predictions_loss: 28.4131 - logcount_predictions_loss: 0.2353 42/266 [===>..........................] - ETA: 30s - loss: 28.6057 - logits_profile_predictions_loss: 28.3727 - logcount_predictions_loss: 0.2330 43/266 [===>..........................] - ETA: 30s - loss: 28.6293 - logits_profile_predictions_loss: 28.3960 - logcount_predictions_loss: 0.2333 44/266 [===>..........................] - ETA: 30s - loss: 28.7189 - logits_profile_predictions_loss: 28.4864 - logcount_predictions_loss: 0.2325 45/266 [====>.........................] - ETA: 30s - loss: 28.6981 - logits_profile_predictions_loss: 28.4665 - logcount_predictions_loss: 0.2316 46/266 [====>.........................] - ETA: 29s - loss: 28.7080 - logits_profile_predictions_loss: 28.4762 - logcount_predictions_loss: 0.2318 47/266 [====>.........................] - ETA: 29s - loss: 28.6788 - logits_profile_predictions_loss: 28.4466 - logcount_predictions_loss: 0.2322 48/266 [====>.........................] - ETA: 29s - loss: 28.7434 - logits_profile_predictions_loss: 28.5123 - logcount_predictions_loss: 0.2312 49/266 [====>.........................] - ETA: 29s - loss: 28.7242 - logits_profile_predictions_loss: 28.4941 - logcount_predictions_loss: 0.2301 50/266 [====>.........................] - ETA: 29s - loss: 28.8321 - logits_profile_predictions_loss: 28.6031 - logcount_predictions_loss: 0.2291 51/266 [====>.........................] - ETA: 29s - loss: 28.8035 - logits_profile_predictions_loss: 28.5757 - logcount_predictions_loss: 0.2278 52/266 [====>.........................] - ETA: 29s - loss: 28.8254 - logits_profile_predictions_loss: 28.5991 - logcount_predictions_loss: 0.2263 53/266 [====>.........................] - ETA: 29s - loss: 28.7583 - logits_profile_predictions_loss: 28.5331 - logcount_predictions_loss: 0.2252 54/266 [=====>........................] - ETA: 28s - loss: 28.7024 - logits_profile_predictions_loss: 28.4789 - logcount_predictions_loss: 0.2235 55/266 [=====>........................] - ETA: 28s - loss: 28.6452 - logits_profile_predictions_loss: 28.4229 - logcount_predictions_loss: 0.2223 56/266 [=====>........................] - ETA: 28s - loss: 28.5971 - logits_profile_predictions_loss: 28.3758 - logcount_predictions_loss: 0.2213 57/266 [=====>........................] - ETA: 28s - loss: 28.5308 - logits_profile_predictions_loss: 28.3100 - logcount_predictions_loss: 0.2208 58/266 [=====>........................] - ETA: 28s - loss: 28.6026 - logits_profile_predictions_loss: 28.3822 - logcount_predictions_loss: 0.2203 59/266 [=====>........................] - ETA: 28s - loss: 28.5977 - logits_profile_predictions_loss: 28.3785 - logcount_predictions_loss: 0.2192 60/266 [=====>........................] - ETA: 28s - loss: 28.5905 - logits_profile_predictions_loss: 28.3716 - logcount_predictions_loss: 0.2189 61/266 [=====>........................] - ETA: 27s - loss: 28.5103 - logits_profile_predictions_loss: 28.2912 - logcount_predictions_loss: 0.2190 62/266 [=====>........................] - ETA: 27s - loss: 28.5729 - logits_profile_predictions_loss: 28.3539 - logcount_predictions_loss: 0.2189 63/266 [======>.......................] - ETA: 27s - loss: 28.5448 - logits_profile_predictions_loss: 28.3264 - logcount_predictions_loss: 0.2184 64/266 [======>.......................] - ETA: 27s - loss: 28.5482 - logits_profile_predictions_loss: 28.3291 - logcount_predictions_loss: 0.2191 65/266 [======>.......................] - ETA: 27s - loss: 28.5415 - logits_profile_predictions_loss: 28.3212 - logcount_predictions_loss: 0.2203 66/266 [======>.......................] - ETA: 27s - loss: 28.5499 - logits_profile_predictions_loss: 28.3302 - logcount_predictions_loss: 0.2198 67/266 [======>.......................] - ETA: 27s - loss: 28.5679 - logits_profile_predictions_loss: 28.3474 - logcount_predictions_loss: 0.2206 68/266 [======>.......................] - ETA: 26s - loss: 28.5390 - logits_profile_predictions_loss: 28.3190 - logcount_predictions_loss: 0.2200 69/266 [======>.......................] - ETA: 26s - loss: 28.5695 - logits_profile_predictions_loss: 28.3499 - logcount_predictions_loss: 0.2196 70/266 [======>.......................] - ETA: 26s - loss: 28.5268 - logits_profile_predictions_loss: 28.3070 - logcount_predictions_loss: 0.2198 71/266 [=======>......................] - ETA: 26s - loss: 28.5139 - logits_profile_predictions_loss: 28.2943 - logcount_predictions_loss: 0.2196 72/266 [=======>......................] - ETA: 26s - loss: 28.4969 - logits_profile_predictions_loss: 28.2770 - logcount_predictions_loss: 0.2198 73/266 [=======>......................] - ETA: 26s - loss: 28.5904 - logits_profile_predictions_loss: 28.3704 - logcount_predictions_loss: 0.2200 74/266 [=======>......................] - ETA: 26s - loss: 28.6277 - logits_profile_predictions_loss: 28.4079 - logcount_predictions_loss: 0.2198 75/266 [=======>......................] - ETA: 26s - loss: 28.6199 - logits_profile_predictions_loss: 28.4010 - logcount_predictions_loss: 0.2189 76/266 [=======>......................] - ETA: 25s - loss: 28.6223 - logits_profile_predictions_loss: 28.4034 - logcount_predictions_loss: 0.2190 77/266 [=======>......................] - ETA: 25s - loss: 28.6448 - logits_profile_predictions_loss: 28.4268 - logcount_predictions_loss: 0.2180 78/266 [=======>......................] - ETA: 25s - loss: 28.6263 - logits_profile_predictions_loss: 28.4087 - logcount_predictions_loss: 0.2177 79/266 [=======>......................] - ETA: 25s - loss: 28.6185 - logits_profile_predictions_loss: 28.4008 - logcount_predictions_loss: 0.2177 80/266 [========>.....................] - ETA: 25s - loss: 28.6298 - logits_profile_predictions_loss: 28.4118 - logcount_predictions_loss: 0.2180 81/266 [========>.....................] - ETA: 25s - loss: 28.6397 - logits_profile_predictions_loss: 28.4221 - logcount_predictions_loss: 0.2176 82/266 [========>.....................] - ETA: 25s - loss: 28.6729 - logits_profile_predictions_loss: 28.4550 - logcount_predictions_loss: 0.2179 83/266 [========>.....................] - ETA: 24s - loss: 28.6846 - logits_profile_predictions_loss: 28.4679 - logcount_predictions_loss: 0.2168 84/266 [========>.....................] - ETA: 24s - loss: 28.7160 - logits_profile_predictions_loss: 28.4990 - logcount_predictions_loss: 0.2171 85/266 [========>.....................] - ETA: 24s - loss: 28.7155 - logits_profile_predictions_loss: 28.4971 - logcount_predictions_loss: 0.2185 86/266 [========>.....................] - ETA: 24s - loss: 28.6936 - logits_profile_predictions_loss: 28.4737 - logcount_predictions_loss: 0.2199 87/266 [========>.....................] - ETA: 24s - loss: 28.6674 - logits_profile_predictions_loss: 28.4480 - logcount_predictions_loss: 0.2194 88/266 [========>.....................] - ETA: 24s - loss: 28.6581 - logits_profile_predictions_loss: 28.4384 - logcount_predictions_loss: 0.2197 89/266 [=========>....................] - ETA: 24s - loss: 28.7121 - logits_profile_predictions_loss: 28.4908 - logcount_predictions_loss: 0.2213 90/266 [=========>....................] - ETA: 23s - loss: 28.7046 - logits_profile_predictions_loss: 28.4837 - logcount_predictions_loss: 0.2209 91/266 [=========>....................] - ETA: 23s - loss: 28.7159 - logits_profile_predictions_loss: 28.4961 - logcount_predictions_loss: 0.2198 92/266 [=========>....................] - ETA: 23s - loss: 28.7154 - logits_profile_predictions_loss: 28.4947 - logcount_predictions_loss: 0.2207 93/266 [=========>....................] - ETA: 23s - loss: 28.6874 - logits_profile_predictions_loss: 28.4667 - logcount_predictions_loss: 0.2206 94/266 [=========>....................] - ETA: 23s - loss: 28.6634 - logits_profile_predictions_loss: 28.4414 - logcount_predictions_loss: 0.2220 95/266 [=========>....................] - ETA: 23s - loss: 28.6728 - logits_profile_predictions_loss: 28.4512 - logcount_predictions_loss: 0.2217 96/266 [=========>....................] - ETA: 23s - loss: 28.6845 - logits_profile_predictions_loss: 28.4630 - logcount_predictions_loss: 0.2215 97/266 [=========>....................] - ETA: 23s - loss: 28.6742 - logits_profile_predictions_loss: 28.4524 - logcount_predictions_loss: 0.2219 98/266 [==========>...................] - ETA: 22s - loss: 28.6540 - logits_profile_predictions_loss: 28.4325 - logcount_predictions_loss: 0.2215 99/266 [==========>...................] - ETA: 22s - loss: 28.6884 - logits_profile_predictions_loss: 28.4663 - logcount_predictions_loss: 0.2221 100/266 [==========>...................] - ETA: 22s - loss: 28.7125 - logits_profile_predictions_loss: 28.4902 - logcount_predictions_loss: 0.2223 101/266 [==========>...................] - ETA: 22s - loss: 28.6893 - logits_profile_predictions_loss: 28.4664 - logcount_predictions_loss: 0.2228 102/266 [==========>...................] - ETA: 22s - loss: 28.6913 - logits_profile_predictions_loss: 28.4676 - logcount_predictions_loss: 0.2237 103/266 [==========>...................] - ETA: 22s - loss: 28.6563 - logits_profile_predictions_loss: 28.4321 - logcount_predictions_loss: 0.2242 104/266 [==========>...................] - ETA: 22s - loss: 28.6591 - logits_profile_predictions_loss: 28.4356 - logcount_predictions_loss: 0.2236 105/266 [==========>...................] - ETA: 21s - loss: 28.6959 - logits_profile_predictions_loss: 28.4720 - logcount_predictions_loss: 0.2239 106/266 [==========>...................] - ETA: 21s - loss: 28.7323 - logits_profile_predictions_loss: 28.5083 - logcount_predictions_loss: 0.2241 107/266 [===========>..................] - ETA: 21s - loss: 28.7131 - logits_profile_predictions_loss: 28.4890 - logcount_predictions_loss: 0.2241 108/266 [===========>..................] - ETA: 21s - loss: 28.6893 - logits_profile_predictions_loss: 28.4658 - logcount_predictions_loss: 0.2235 109/266 [===========>..................] - ETA: 21s - loss: 28.6878 - logits_profile_predictions_loss: 28.4644 - logcount_predictions_loss: 0.2235 110/266 [===========>..................] - ETA: 21s - loss: 28.6738 - logits_profile_predictions_loss: 28.4502 - logcount_predictions_loss: 0.2236 111/266 [===========>..................] - ETA: 21s - loss: 28.6406 - logits_profile_predictions_loss: 28.4174 - logcount_predictions_loss: 0.2233 112/266 [===========>..................] - ETA: 21s - loss: 28.6343 - logits_profile_predictions_loss: 28.4109 - logcount_predictions_loss: 0.2234 113/266 [===========>..................] - ETA: 20s - loss: 28.6186 - logits_profile_predictions_loss: 28.3948 - logcount_predictions_loss: 0.2238 114/266 [===========>..................] - ETA: 20s - loss: 28.6251 - logits_profile_predictions_loss: 28.4013 - 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- ETA: 11s - loss: 28.6194 - logits_profile_predictions_loss: 28.4005 - logcount_predictions_loss: 0.2189 184/266 [===================>..........] - ETA: 11s - loss: 28.6090 - logits_profile_predictions_loss: 28.3902 - logcount_predictions_loss: 0.2188 185/266 [===================>..........] - ETA: 10s - loss: 28.6065 - logits_profile_predictions_loss: 28.3874 - logcount_predictions_loss: 0.2191 186/266 [===================>..........] - ETA: 10s - loss: 28.5950 - logits_profile_predictions_loss: 28.3760 - logcount_predictions_loss: 0.2190 187/266 [====================>.........] - ETA: 10s - loss: 28.6155 - logits_profile_predictions_loss: 28.3968 - logcount_predictions_loss: 0.2188 188/266 [====================>.........] - ETA: 10s - loss: 28.5991 - logits_profile_predictions_loss: 28.3804 - logcount_predictions_loss: 0.2186 189/266 [====================>.........] - ETA: 10s - loss: 28.5964 - logits_profile_predictions_loss: 28.3775 - logcount_predictions_loss: 0.2189 190/266 [====================>.........] - ETA: 10s - loss: 28.5889 - logits_profile_predictions_loss: 28.3702 - logcount_predictions_loss: 0.2187 191/266 [====================>.........] - ETA: 10s - loss: 28.5974 - logits_profile_predictions_loss: 28.3787 - logcount_predictions_loss: 0.2187 192/266 [====================>.........] - ETA: 10s - loss: 28.6077 - logits_profile_predictions_loss: 28.3891 - logcount_predictions_loss: 0.2186 193/266 [====================>.........] - ETA: 9s - loss: 28.6325 - logits_profile_predictions_loss: 28.4138 - logcount_predictions_loss: 0.2187  194/266 [====================>.........] - ETA: 9s - loss: 28.6184 - logits_profile_predictions_loss: 28.3999 - logcount_predictions_loss: 0.2185 195/266 [====================>.........] - ETA: 9s - loss: 28.6243 - logits_profile_predictions_loss: 28.4056 - logcount_predictions_loss: 0.2187 196/266 [=====================>........] - ETA: 9s - loss: 28.6216 - logits_profile_predictions_loss: 28.4027 - 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[=======================>......] - ETA: 6s - loss: 28.7131 - logits_profile_predictions_loss: 28.4928 - logcount_predictions_loss: 0.2202 218/266 [=======================>......] - ETA: 6s - loss: 28.7137 - logits_profile_predictions_loss: 28.4936 - logcount_predictions_loss: 0.2201 219/266 [=======================>......] - ETA: 6s - loss: 28.7198 - logits_profile_predictions_loss: 28.5000 - logcount_predictions_loss: 0.2198 220/266 [=======================>......] - ETA: 6s - loss: 28.7294 - logits_profile_predictions_loss: 28.5096 - logcount_predictions_loss: 0.2198 221/266 [=======================>......] - ETA: 6s - loss: 28.7156 - logits_profile_predictions_loss: 28.4949 - logcount_predictions_loss: 0.2207 222/266 [========================>.....] - ETA: 5s - loss: 28.7255 - logits_profile_predictions_loss: 28.5050 - logcount_predictions_loss: 0.2205 223/266 [========================>.....] - ETA: 5s - loss: 28.7297 - logits_profile_predictions_loss: 28.5092 - 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[==========================>...] - ETA: 2s - loss: 28.8064 - logits_profile_predictions_loss: 28.5839 - logcount_predictions_loss: 0.2224 245/266 [==========================>...] - ETA: 2s - loss: 28.8108 - logits_profile_predictions_loss: 28.5884 - logcount_predictions_loss: 0.2224 246/266 [==========================>...] - ETA: 2s - loss: 28.8120 - logits_profile_predictions_loss: 28.5898 - logcount_predictions_loss: 0.2223 247/266 [==========================>...] - ETA: 2s - loss: 28.8161 - logits_profile_predictions_loss: 28.5937 - logcount_predictions_loss: 0.2224 248/266 [==========================>...] - ETA: 2s - loss: 28.8066 - logits_profile_predictions_loss: 28.5842 - logcount_predictions_loss: 0.2224 249/266 [===========================>..] - ETA: 2s - loss: 28.8105 - logits_profile_predictions_loss: 28.5879 - logcount_predictions_loss: 0.2227 250/266 [===========================>..] - ETA: 2s - loss: 28.8046 - logits_profile_predictions_loss: 28.5819 - 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logits_profile_predictions_loss: 28.6234 - logcount_predictions_loss: 0.2223 258/266 [============================>.] - ETA: 1s - loss: 28.8483 - logits_profile_predictions_loss: 28.6260 - logcount_predictions_loss: 0.2223 259/266 [============================>.] - ETA: 0s - loss: 28.8509 - logits_profile_predictions_loss: 28.6286 - logcount_predictions_loss: 0.2223 260/266 [============================>.] - ETA: 0s - loss: 28.8597 - logits_profile_predictions_loss: 28.6373 - logcount_predictions_loss: 0.2224 261/266 [============================>.] - ETA: 0s - loss: 28.8614 - logits_profile_predictions_loss: 28.6388 - logcount_predictions_loss: 0.2226 262/266 [============================>.] - ETA: 0s - loss: 28.8678 - logits_profile_predictions_loss: 28.6453 - logcount_predictions_loss: 0.2225 263/266 [============================>.] - ETA: 0s - loss: 28.8524 - logits_profile_predictions_loss: 28.6298 - logcount_predictions_loss: 0.2226 264/266 [============================>.] - ETA: 0s - loss: 28.8519 - logits_profile_predictions_loss: 28.6293 - logcount_predictions_loss: 0.2226 265/266 [============================>.] - ETA: 0s - loss: 28.8426 - logits_profile_predictions_loss: 28.6200 - logcount_predictions_loss: 0.2226 266/266 [==============================] - ETA: 0s - loss: 28.8355 - logits_profile_predictions_loss: 28.6132 - logcount_predictions_loss: 0.2222 Epoch 11: val_loss did not improve from 32.98759  266/266 [==============================] - 39s 146ms/step - loss: 28.8355 - logits_profile_predictions_loss: 28.6132 - logcount_predictions_loss: 0.2222 - val_loss: 33.9052 - val_logits_profile_predictions_loss: 33.7224 - val_logcount_predictions_loss: 0.1828 Epoch 12/50 1/266 [..............................] - ETA: 38s - loss: 29.0102 - logits_profile_predictions_loss: 28.7399 - logcount_predictions_loss: 0.2703 2/266 [..............................] - ETA: 35s - loss: 28.5573 - logits_profile_predictions_loss: 28.3129 - logcount_predictions_loss: 0.2444 3/266 [..............................] - ETA: 35s - loss: 27.5740 - logits_profile_predictions_loss: 27.3393 - logcount_predictions_loss: 0.2347 4/266 [..............................] - ETA: 35s - loss: 27.3955 - logits_profile_predictions_loss: 27.1756 - logcount_predictions_loss: 0.2200 5/266 [..............................] - ETA: 35s - loss: 26.7165 - logits_profile_predictions_loss: 26.4997 - logcount_predictions_loss: 0.2168 6/266 [..............................] - ETA: 35s - loss: 26.8386 - logits_profile_predictions_loss: 26.6220 - logcount_predictions_loss: 0.2167 7/266 [..............................] - ETA: 35s - loss: 26.8126 - logits_profile_predictions_loss: 26.5862 - logcount_predictions_loss: 0.2264 8/266 [..............................] - ETA: 35s - loss: 26.9439 - logits_profile_predictions_loss: 26.7191 - logcount_predictions_loss: 0.2248 9/266 [>.............................] - ETA: 34s - loss: 27.0406 - logits_profile_predictions_loss: 26.8171 - logcount_predictions_loss: 0.2235 10/266 [>.............................] - ETA: 34s - loss: 27.6032 - logits_profile_predictions_loss: 27.3798 - logcount_predictions_loss: 0.2235 11/266 [>.............................] - ETA: 34s - loss: 27.7671 - logits_profile_predictions_loss: 27.5427 - logcount_predictions_loss: 0.2244 12/266 [>.............................] - ETA: 34s - loss: 27.4044 - logits_profile_predictions_loss: 27.1768 - logcount_predictions_loss: 0.2277 13/266 [>.............................] - ETA: 34s - loss: 27.1820 - logits_profile_predictions_loss: 26.9538 - logcount_predictions_loss: 0.2282 14/266 [>.............................] - ETA: 34s - loss: 27.0508 - logits_profile_predictions_loss: 26.8271 - logcount_predictions_loss: 0.2237 15/266 [>.............................] - ETA: 34s - loss: 26.9525 - logits_profile_predictions_loss: 26.7268 - logcount_predictions_loss: 0.2257 16/266 [>.............................] - ETA: 34s - loss: 26.9256 - logits_profile_predictions_loss: 26.7014 - logcount_predictions_loss: 0.2242 17/266 [>.............................] - ETA: 33s - loss: 26.7998 - logits_profile_predictions_loss: 26.5754 - logcount_predictions_loss: 0.2245 18/266 [=>............................] - ETA: 33s - loss: 26.9070 - logits_profile_predictions_loss: 26.6824 - logcount_predictions_loss: 0.2245 19/266 [=>............................] - ETA: 33s - loss: 26.9771 - logits_profile_predictions_loss: 26.7530 - logcount_predictions_loss: 0.2241 20/266 [=>............................] - ETA: 33s - loss: 26.7372 - logits_profile_predictions_loss: 26.5168 - logcount_predictions_loss: 0.2204 21/266 [=>............................] - ETA: 33s - loss: 26.6875 - logits_profile_predictions_loss: 26.4566 - logcount_predictions_loss: 0.2309 22/266 [=>............................] - ETA: 33s - loss: 26.8339 - logits_profile_predictions_loss: 26.6009 - logcount_predictions_loss: 0.2330 23/266 [=>............................] - ETA: 33s - loss: 26.8531 - logits_profile_predictions_loss: 26.6232 - logcount_predictions_loss: 0.2300 24/266 [=>............................] - ETA: 32s - loss: 26.8024 - logits_profile_predictions_loss: 26.5732 - logcount_predictions_loss: 0.2292 25/266 [=>............................] - ETA: 32s - loss: 26.8450 - logits_profile_predictions_loss: 26.6156 - logcount_predictions_loss: 0.2294 26/266 [=>............................] - ETA: 32s - loss: 27.0344 - logits_profile_predictions_loss: 26.8077 - logcount_predictions_loss: 0.2267 27/266 [==>...........................] - ETA: 32s - loss: 27.0861 - logits_profile_predictions_loss: 26.8592 - logcount_predictions_loss: 0.2269 28/266 [==>...........................] - ETA: 32s - loss: 27.2033 - logits_profile_predictions_loss: 26.9790 - logcount_predictions_loss: 0.2243 29/266 [==>...........................] - ETA: 32s - loss: 27.1117 - logits_profile_predictions_loss: 26.8902 - logcount_predictions_loss: 0.2215 30/266 [==>...........................] - ETA: 32s - loss: 27.1928 - logits_profile_predictions_loss: 26.9705 - logcount_predictions_loss: 0.2223 31/266 [==>...........................] - ETA: 31s - loss: 27.2937 - logits_profile_predictions_loss: 27.0702 - logcount_predictions_loss: 0.2236 32/266 [==>...........................] - ETA: 31s - loss: 27.4145 - logits_profile_predictions_loss: 27.1936 - logcount_predictions_loss: 0.2210 33/266 [==>...........................] - ETA: 31s - loss: 27.4528 - logits_profile_predictions_loss: 27.2330 - logcount_predictions_loss: 0.2198 34/266 [==>...........................] - ETA: 31s - loss: 27.4616 - logits_profile_predictions_loss: 27.2394 - logcount_predictions_loss: 0.2223 35/266 [==>...........................] - ETA: 31s - loss: 27.4362 - logits_profile_predictions_loss: 27.2141 - logcount_predictions_loss: 0.2221 36/266 [===>..........................] - ETA: 31s - loss: 27.5752 - logits_profile_predictions_loss: 27.3540 - logcount_predictions_loss: 0.2213 37/266 [===>..........................] - ETA: 31s - loss: 27.5629 - logits_profile_predictions_loss: 27.3432 - logcount_predictions_loss: 0.2198 38/266 [===>..........................] - ETA: 31s - loss: 27.5618 - logits_profile_predictions_loss: 27.3446 - logcount_predictions_loss: 0.2172 39/266 [===>..........................] - ETA: 30s - loss: 27.4773 - logits_profile_predictions_loss: 27.2605 - logcount_predictions_loss: 0.2168 40/266 [===>..........................] - ETA: 30s - loss: 27.6239 - logits_profile_predictions_loss: 27.4061 - logcount_predictions_loss: 0.2178 41/266 [===>..........................] - ETA: 30s - loss: 27.6184 - logits_profile_predictions_loss: 27.4010 - logcount_predictions_loss: 0.2174 42/266 [===>..........................] - ETA: 30s - loss: 27.6689 - logits_profile_predictions_loss: 27.4514 - logcount_predictions_loss: 0.2175 43/266 [===>..........................] - ETA: 30s - loss: 27.5517 - logits_profile_predictions_loss: 27.3367 - logcount_predictions_loss: 0.2150 44/266 [===>..........................] - ETA: 30s - loss: 27.5810 - logits_profile_predictions_loss: 27.3660 - logcount_predictions_loss: 0.2150 45/266 [====>.........................] - ETA: 30s - loss: 27.6005 - logits_profile_predictions_loss: 27.3852 - logcount_predictions_loss: 0.2153 46/266 [====>.........................] - ETA: 29s - loss: 27.6711 - logits_profile_predictions_loss: 27.4541 - logcount_predictions_loss: 0.2170 47/266 [====>.........................] - ETA: 29s - loss: 27.6374 - logits_profile_predictions_loss: 27.4206 - logcount_predictions_loss: 0.2168 48/266 [====>.........................] - ETA: 29s - loss: 27.7229 - logits_profile_predictions_loss: 27.5074 - logcount_predictions_loss: 0.2155 49/266 [====>.........................] - ETA: 29s - loss: 27.6785 - logits_profile_predictions_loss: 27.4624 - logcount_predictions_loss: 0.2161 50/266 [====>.........................] - ETA: 29s - loss: 27.7060 - logits_profile_predictions_loss: 27.4892 - logcount_predictions_loss: 0.2168 51/266 [====>.........................] - ETA: 29s - loss: 27.6797 - logits_profile_predictions_loss: 27.4631 - logcount_predictions_loss: 0.2166 52/266 [====>.........................] - ETA: 29s - loss: 27.6593 - logits_profile_predictions_loss: 27.4425 - logcount_predictions_loss: 0.2168 53/266 [====>.........................] - ETA: 28s - loss: 27.6829 - logits_profile_predictions_loss: 27.4641 - logcount_predictions_loss: 0.2188 54/266 [=====>........................] - ETA: 28s - loss: 27.6630 - logits_profile_predictions_loss: 27.4438 - logcount_predictions_loss: 0.2191 55/266 [=====>........................] - ETA: 28s - loss: 27.6967 - logits_profile_predictions_loss: 27.4779 - logcount_predictions_loss: 0.2188 56/266 [=====>........................] - ETA: 28s - loss: 27.6850 - logits_profile_predictions_loss: 27.4669 - logcount_predictions_loss: 0.2182 57/266 [=====>........................] - ETA: 28s - loss: 27.6274 - logits_profile_predictions_loss: 27.4066 - logcount_predictions_loss: 0.2207 58/266 [=====>........................] - ETA: 28s - loss: 27.6230 - logits_profile_predictions_loss: 27.4033 - logcount_predictions_loss: 0.2197 59/266 [=====>........................] - ETA: 28s - loss: 27.6151 - logits_profile_predictions_loss: 27.3948 - logcount_predictions_loss: 0.2203 60/266 [=====>........................] - ETA: 28s - loss: 27.6218 - logits_profile_predictions_loss: 27.4008 - logcount_predictions_loss: 0.2209 61/266 [=====>........................] - ETA: 27s - loss: 27.6402 - logits_profile_predictions_loss: 27.4199 - logcount_predictions_loss: 0.2203 62/266 [=====>........................] - ETA: 27s - loss: 27.6571 - logits_profile_predictions_loss: 27.4363 - logcount_predictions_loss: 0.2208 63/266 [======>.......................] - ETA: 27s - loss: 27.6591 - logits_profile_predictions_loss: 27.4383 - logcount_predictions_loss: 0.2209 64/266 [======>.......................] - ETA: 27s - loss: 27.6453 - logits_profile_predictions_loss: 27.4242 - logcount_predictions_loss: 0.2211 65/266 [======>.......................] - ETA: 27s - loss: 27.5659 - logits_profile_predictions_loss: 27.3456 - logcount_predictions_loss: 0.2204 66/266 [======>.......................] - ETA: 27s - loss: 27.5582 - logits_profile_predictions_loss: 27.3381 - logcount_predictions_loss: 0.2201 67/266 [======>.......................] - ETA: 27s - loss: 27.5613 - logits_profile_predictions_loss: 27.3418 - logcount_predictions_loss: 0.2195 68/266 [======>.......................] - ETA: 26s - loss: 27.6148 - logits_profile_predictions_loss: 27.3958 - logcount_predictions_loss: 0.2191 69/266 [======>.......................] - ETA: 26s - loss: 27.6547 - logits_profile_predictions_loss: 27.4358 - logcount_predictions_loss: 0.2189 70/266 [======>.......................] - ETA: 26s - loss: 27.6448 - logits_profile_predictions_loss: 27.4271 - logcount_predictions_loss: 0.2177 71/266 [=======>......................] - ETA: 26s - loss: 27.6897 - logits_profile_predictions_loss: 27.4726 - logcount_predictions_loss: 0.2171 72/266 [=======>......................] - ETA: 26s - loss: 27.6611 - logits_profile_predictions_loss: 27.4447 - logcount_predictions_loss: 0.2164 73/266 [=======>......................] - ETA: 26s - loss: 27.6343 - logits_profile_predictions_loss: 27.4181 - logcount_predictions_loss: 0.2161 74/266 [=======>......................] - ETA: 26s - loss: 27.6237 - logits_profile_predictions_loss: 27.4084 - logcount_predictions_loss: 0.2152 75/266 [=======>......................] - ETA: 26s - loss: 27.6630 - logits_profile_predictions_loss: 27.4471 - logcount_predictions_loss: 0.2158 76/266 [=======>......................] - ETA: 25s - loss: 27.7076 - logits_profile_predictions_loss: 27.4914 - logcount_predictions_loss: 0.2162 77/266 [=======>......................] - ETA: 25s - loss: 27.6849 - logits_profile_predictions_loss: 27.4691 - logcount_predictions_loss: 0.2158 78/266 [=======>......................] - ETA: 25s - loss: 27.6700 - logits_profile_predictions_loss: 27.4543 - logcount_predictions_loss: 0.2157 79/266 [=======>......................] - ETA: 25s - loss: 27.6752 - logits_profile_predictions_loss: 27.4601 - logcount_predictions_loss: 0.2151 80/266 [========>.....................] - ETA: 25s - loss: 27.6599 - logits_profile_predictions_loss: 27.4450 - logcount_predictions_loss: 0.2149 81/266 [========>.....................] - ETA: 25s - loss: 27.6665 - logits_profile_predictions_loss: 27.4521 - logcount_predictions_loss: 0.2144 82/266 [========>.....................] - ETA: 25s - loss: 27.6564 - logits_profile_predictions_loss: 27.4425 - logcount_predictions_loss: 0.2139 83/266 [========>.....................] - ETA: 24s - loss: 27.6815 - logits_profile_predictions_loss: 27.4676 - logcount_predictions_loss: 0.2139 84/266 [========>.....................] - ETA: 24s - loss: 27.6909 - logits_profile_predictions_loss: 27.4772 - logcount_predictions_loss: 0.2137 85/266 [========>.....................] - ETA: 24s - loss: 27.6594 - logits_profile_predictions_loss: 27.4456 - logcount_predictions_loss: 0.2138 86/266 [========>.....................] - ETA: 24s - loss: 27.6468 - logits_profile_predictions_loss: 27.4337 - logcount_predictions_loss: 0.2132 87/266 [========>.....................] - ETA: 24s - loss: 27.6358 - logits_profile_predictions_loss: 27.4224 - logcount_predictions_loss: 0.2134 88/266 [========>.....................] - ETA: 24s - loss: 27.6232 - logits_profile_predictions_loss: 27.4102 - logcount_predictions_loss: 0.2130 89/266 [=========>....................] - ETA: 24s - loss: 27.6295 - logits_profile_predictions_loss: 27.4161 - logcount_predictions_loss: 0.2133 90/266 [=========>....................] - ETA: 23s - loss: 27.6206 - logits_profile_predictions_loss: 27.4077 - logcount_predictions_loss: 0.2129 91/266 [=========>....................] - ETA: 23s - loss: 27.5965 - logits_profile_predictions_loss: 27.3833 - logcount_predictions_loss: 0.2133 92/266 [=========>....................] - ETA: 23s - loss: 27.6549 - logits_profile_predictions_loss: 27.4422 - logcount_predictions_loss: 0.2128 93/266 [=========>....................] - ETA: 23s - loss: 27.6772 - logits_profile_predictions_loss: 27.4643 - logcount_predictions_loss: 0.2129 94/266 [=========>....................] - ETA: 23s - loss: 27.6633 - logits_profile_predictions_loss: 27.4495 - logcount_predictions_loss: 0.2139 95/266 [=========>....................] - ETA: 23s - loss: 27.6645 - logits_profile_predictions_loss: 27.4505 - logcount_predictions_loss: 0.2141 96/266 [=========>....................] - ETA: 23s - loss: 27.6542 - logits_profile_predictions_loss: 27.4402 - logcount_predictions_loss: 0.2140 97/266 [=========>....................] - ETA: 23s - loss: 27.6711 - logits_profile_predictions_loss: 27.4578 - logcount_predictions_loss: 0.2133 98/266 [==========>...................] - ETA: 22s - loss: 27.6915 - logits_profile_predictions_loss: 27.4786 - logcount_predictions_loss: 0.2129 99/266 [==========>...................] - ETA: 22s - loss: 27.7308 - logits_profile_predictions_loss: 27.5184 - logcount_predictions_loss: 0.2124 100/266 [==========>...................] - ETA: 22s - loss: 27.7347 - logits_profile_predictions_loss: 27.5219 - logcount_predictions_loss: 0.2128 101/266 [==========>...................] - ETA: 22s - loss: 27.7343 - logits_profile_predictions_loss: 27.5212 - logcount_predictions_loss: 0.2131 102/266 [==========>...................] - ETA: 22s - loss: 27.7125 - logits_profile_predictions_loss: 27.4997 - logcount_predictions_loss: 0.2127 103/266 [==========>...................] - ETA: 22s - loss: 27.6846 - logits_profile_predictions_loss: 27.4722 - logcount_predictions_loss: 0.2125 104/266 [==========>...................] - ETA: 22s - loss: 27.7658 - logits_profile_predictions_loss: 27.5513 - logcount_predictions_loss: 0.2145 105/266 [==========>...................] - ETA: 21s - loss: 27.8348 - logits_profile_predictions_loss: 27.6184 - logcount_predictions_loss: 0.2164 106/266 [==========>...................] - ETA: 21s - loss: 27.8433 - logits_profile_predictions_loss: 27.6272 - logcount_predictions_loss: 0.2161 107/266 [===========>..................] - ETA: 21s - loss: 27.8461 - logits_profile_predictions_loss: 27.6302 - logcount_predictions_loss: 0.2159 108/266 [===========>..................] - ETA: 21s - loss: 27.8713 - logits_profile_predictions_loss: 27.6545 - logcount_predictions_loss: 0.2167 109/266 [===========>..................] - ETA: 21s - loss: 27.8676 - logits_profile_predictions_loss: 27.6497 - logcount_predictions_loss: 0.2179 110/266 [===========>..................] - ETA: 21s - loss: 27.8875 - logits_profile_predictions_loss: 27.6703 - logcount_predictions_loss: 0.2172 111/266 [===========>..................] - ETA: 21s - loss: 27.8843 - logits_profile_predictions_loss: 27.6676 - logcount_predictions_loss: 0.2167 112/266 [===========>..................] - ETA: 20s - loss: 27.8779 - logits_profile_predictions_loss: 27.6611 - logcount_predictions_loss: 0.2168 113/266 [===========>..................] - ETA: 20s - loss: 27.8712 - logits_profile_predictions_loss: 27.6549 - logcount_predictions_loss: 0.2163 114/266 [===========>..................] - ETA: 20s - loss: 27.8810 - logits_profile_predictions_loss: 27.6645 - logcount_predictions_loss: 0.2164 115/266 [===========>..................] - ETA: 20s - loss: 27.8836 - logits_profile_predictions_loss: 27.6676 - logcount_predictions_loss: 0.2160 116/266 [============>.................] - ETA: 20s - loss: 27.8761 - logits_profile_predictions_loss: 27.6601 - logcount_predictions_loss: 0.2160 117/266 [============>.................] - ETA: 20s - loss: 27.8809 - logits_profile_predictions_loss: 27.6653 - logcount_predictions_loss: 0.2156 118/266 [============>.................] - ETA: 20s - loss: 27.8971 - logits_profile_predictions_loss: 27.6814 - logcount_predictions_loss: 0.2157 119/266 [============>.................] - ETA: 20s - loss: 27.9453 - logits_profile_predictions_loss: 27.7296 - logcount_predictions_loss: 0.2157 120/266 [============>.................] - ETA: 19s - loss: 27.9390 - logits_profile_predictions_loss: 27.7234 - logcount_predictions_loss: 0.2156 121/266 [============>.................] - ETA: 19s - loss: 27.9030 - logits_profile_predictions_loss: 27.6877 - logcount_predictions_loss: 0.2153 122/266 [============>.................] - ETA: 19s - loss: 27.8814 - logits_profile_predictions_loss: 27.6665 - logcount_predictions_loss: 0.2150 123/266 [============>.................] - ETA: 19s - loss: 27.8869 - logits_profile_predictions_loss: 27.6721 - logcount_predictions_loss: 0.2148 124/266 [============>.................] - ETA: 19s - loss: 27.8911 - logits_profile_predictions_loss: 27.6761 - logcount_predictions_loss: 0.2150 125/266 [=============>................] - ETA: 19s - loss: 27.8821 - logits_profile_predictions_loss: 27.6675 - logcount_predictions_loss: 0.2146 126/266 [=============>................] - ETA: 19s - loss: 27.9054 - logits_profile_predictions_loss: 27.6909 - logcount_predictions_loss: 0.2145 127/266 [=============>................] - ETA: 18s - loss: 27.9050 - logits_profile_predictions_loss: 27.6902 - logcount_predictions_loss: 0.2148 128/266 [=============>................] - ETA: 18s - loss: 27.9245 - logits_profile_predictions_loss: 27.7099 - logcount_predictions_loss: 0.2146 129/266 [=============>................] - ETA: 18s - loss: 27.9191 - logits_profile_predictions_loss: 27.7047 - logcount_predictions_loss: 0.2145 130/266 [=============>................] - ETA: 18s - loss: 27.9299 - logits_profile_predictions_loss: 27.7155 - logcount_predictions_loss: 0.2144 131/266 [=============>................] - ETA: 18s - loss: 27.9297 - logits_profile_predictions_loss: 27.7152 - logcount_predictions_loss: 0.2146 132/266 [=============>................] - ETA: 18s - loss: 27.9445 - logits_profile_predictions_loss: 27.7296 - logcount_predictions_loss: 0.2149 133/266 [==============>...............] - ETA: 18s - loss: 27.9381 - logits_profile_predictions_loss: 27.7235 - logcount_predictions_loss: 0.2146 134/266 [==============>...............] - ETA: 17s - loss: 27.9412 - logits_profile_predictions_loss: 27.7273 - logcount_predictions_loss: 0.2139 135/266 [==============>...............] - ETA: 17s - loss: 27.9351 - logits_profile_predictions_loss: 27.7218 - logcount_predictions_loss: 0.2133 136/266 [==============>...............] - ETA: 17s - loss: 27.9389 - logits_profile_predictions_loss: 27.7255 - logcount_predictions_loss: 0.2134 137/266 [==============>...............] - ETA: 17s - loss: 27.9693 - logits_profile_predictions_loss: 27.7555 - logcount_predictions_loss: 0.2138 138/266 [==============>...............] - ETA: 17s - loss: 27.9771 - logits_profile_predictions_loss: 27.7633 - logcount_predictions_loss: 0.2138 139/266 [==============>...............] - ETA: 17s - loss: 27.9693 - logits_profile_predictions_loss: 27.7557 - logcount_predictions_loss: 0.2136 140/266 [==============>...............] - ETA: 17s - loss: 27.9664 - logits_profile_predictions_loss: 27.7525 - logcount_predictions_loss: 0.2139 141/266 [==============>...............] - ETA: 17s - loss: 28.0063 - logits_profile_predictions_loss: 27.7928 - logcount_predictions_loss: 0.2135 142/266 [===============>..............] - ETA: 16s - loss: 28.0225 - logits_profile_predictions_loss: 27.8094 - logcount_predictions_loss: 0.2132 143/266 [===============>..............] - ETA: 16s - loss: 28.0133 - logits_profile_predictions_loss: 27.8004 - logcount_predictions_loss: 0.2129 144/266 [===============>..............] - ETA: 16s - loss: 28.0068 - logits_profile_predictions_loss: 27.7941 - logcount_predictions_loss: 0.2127 145/266 [===============>..............] - ETA: 16s - loss: 28.0036 - logits_profile_predictions_loss: 27.7910 - logcount_predictions_loss: 0.2126 146/266 [===============>..............] - ETA: 16s - loss: 28.0027 - logits_profile_predictions_loss: 27.7895 - logcount_predictions_loss: 0.2133 147/266 [===============>..............] - ETA: 16s - loss: 28.0162 - logits_profile_predictions_loss: 27.8036 - logcount_predictions_loss: 0.2127 148/266 [===============>..............] - ETA: 16s - loss: 28.0170 - logits_profile_predictions_loss: 27.8043 - logcount_predictions_loss: 0.2127 149/266 [===============>..............] - ETA: 15s - loss: 28.0093 - logits_profile_predictions_loss: 27.7972 - logcount_predictions_loss: 0.2121 150/266 [===============>..............] - ETA: 15s - loss: 28.0235 - logits_profile_predictions_loss: 27.8118 - logcount_predictions_loss: 0.2117 151/266 [================>.............] - ETA: 15s - loss: 28.0210 - 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[=================>............] - ETA: 13s - loss: 28.0736 - logits_profile_predictions_loss: 27.8641 - logcount_predictions_loss: 0.2096 166/266 [=================>............] - ETA: 13s - loss: 28.0664 - logits_profile_predictions_loss: 27.8567 - logcount_predictions_loss: 0.2097 167/266 [=================>............] - ETA: 13s - loss: 28.0532 - logits_profile_predictions_loss: 27.8432 - logcount_predictions_loss: 0.2100 168/266 [=================>............] - ETA: 13s - loss: 28.0430 - logits_profile_predictions_loss: 27.8333 - logcount_predictions_loss: 0.2097 169/266 [==================>...........] - ETA: 13s - loss: 28.0510 - logits_profile_predictions_loss: 27.8413 - logcount_predictions_loss: 0.2097 170/266 [==================>...........] - ETA: 13s - loss: 28.0615 - logits_profile_predictions_loss: 27.8514 - logcount_predictions_loss: 0.2101 171/266 [==================>...........] - ETA: 12s - loss: 28.0390 - logits_profile_predictions_loss: 27.8289 - logcount_predictions_loss: 0.2101 172/266 [==================>...........] - ETA: 12s - loss: 28.0426 - logits_profile_predictions_loss: 27.8326 - logcount_predictions_loss: 0.2100 173/266 [==================>...........] - ETA: 12s - loss: 28.0474 - logits_profile_predictions_loss: 27.8372 - logcount_predictions_loss: 0.2103 174/266 [==================>...........] - ETA: 12s - loss: 28.0435 - logits_profile_predictions_loss: 27.8333 - logcount_predictions_loss: 0.2103 175/266 [==================>...........] - ETA: 12s - loss: 28.0503 - logits_profile_predictions_loss: 27.8401 - logcount_predictions_loss: 0.2103 176/266 [==================>...........] - ETA: 12s - loss: 28.0379 - logits_profile_predictions_loss: 27.8278 - logcount_predictions_loss: 0.2102 177/266 [==================>...........] - ETA: 12s - loss: 28.0331 - logits_profile_predictions_loss: 27.8230 - logcount_predictions_loss: 0.2102 178/266 [===================>..........] - ETA: 11s - loss: 28.0363 - logits_profile_predictions_loss: 27.8263 - logcount_predictions_loss: 0.2101 179/266 [===================>..........] - ETA: 11s - loss: 28.0355 - logits_profile_predictions_loss: 27.8255 - logcount_predictions_loss: 0.2100 180/266 [===================>..........] - ETA: 11s - loss: 28.0228 - logits_profile_predictions_loss: 27.8126 - logcount_predictions_loss: 0.2102 181/266 [===================>..........] - ETA: 11s - loss: 28.0220 - logits_profile_predictions_loss: 27.8121 - logcount_predictions_loss: 0.2100 182/266 [===================>..........] - ETA: 11s - loss: 28.0137 - logits_profile_predictions_loss: 27.8039 - logcount_predictions_loss: 0.2098 183/266 [===================>..........] - ETA: 11s - loss: 28.0061 - logits_profile_predictions_loss: 27.7966 - logcount_predictions_loss: 0.2096 184/266 [===================>..........] - ETA: 11s - loss: 28.0049 - logits_profile_predictions_loss: 27.7957 - logcount_predictions_loss: 0.2092 185/266 [===================>..........] - ETA: 11s - loss: 28.0169 - logits_profile_predictions_loss: 27.8074 - logcount_predictions_loss: 0.2095 186/266 [===================>..........] - ETA: 10s - loss: 28.0304 - logits_profile_predictions_loss: 27.8209 - logcount_predictions_loss: 0.2095 187/266 [====================>.........] - ETA: 10s - loss: 28.0427 - logits_profile_predictions_loss: 27.8330 - logcount_predictions_loss: 0.2097 188/266 [====================>.........] - ETA: 10s - loss: 28.0419 - logits_profile_predictions_loss: 27.8318 - logcount_predictions_loss: 0.2101 189/266 [====================>.........] - ETA: 10s - loss: 28.0646 - logits_profile_predictions_loss: 27.8545 - logcount_predictions_loss: 0.2101 190/266 [====================>.........] - ETA: 10s - loss: 28.0735 - logits_profile_predictions_loss: 27.8635 - logcount_predictions_loss: 0.2101 191/266 [====================>.........] - ETA: 10s - loss: 28.0855 - logits_profile_predictions_loss: 27.8755 - logcount_predictions_loss: 0.2100 192/266 [====================>.........] - ETA: 10s - loss: 28.0799 - logits_profile_predictions_loss: 27.8701 - logcount_predictions_loss: 0.2098 193/266 [====================>.........] - ETA: 9s - loss: 28.0928 - logits_profile_predictions_loss: 27.8832 - logcount_predictions_loss: 0.2097  194/266 [====================>.........] - ETA: 9s - loss: 28.0947 - logits_profile_predictions_loss: 27.8852 - logcount_predictions_loss: 0.2096 195/266 [====================>.........] - ETA: 9s - loss: 28.1069 - logits_profile_predictions_loss: 27.8974 - logcount_predictions_loss: 0.2095 196/266 [=====================>........] - ETA: 9s - loss: 28.1301 - logits_profile_predictions_loss: 27.9206 - logcount_predictions_loss: 0.2096 197/266 [=====================>........] - ETA: 9s - loss: 28.1193 - logits_profile_predictions_loss: 27.9095 - logcount_predictions_loss: 0.2097 198/266 [=====================>........] - ETA: 9s - loss: 28.1351 - logits_profile_predictions_loss: 27.9251 - logcount_predictions_loss: 0.2100 199/266 [=====================>........] - ETA: 9s - loss: 28.1377 - logits_profile_predictions_loss: 27.9275 - logcount_predictions_loss: 0.2102 200/266 [=====================>........] - ETA: 8s - loss: 28.1225 - logits_profile_predictions_loss: 27.9121 - logcount_predictions_loss: 0.2105 201/266 [=====================>........] - ETA: 8s - loss: 28.1318 - logits_profile_predictions_loss: 27.9214 - logcount_predictions_loss: 0.2104 202/266 [=====================>........] - ETA: 8s - loss: 28.1549 - logits_profile_predictions_loss: 27.9443 - logcount_predictions_loss: 0.2106 203/266 [=====================>........] - ETA: 8s - loss: 28.1726 - logits_profile_predictions_loss: 27.9620 - logcount_predictions_loss: 0.2106 204/266 [======================>.......] - ETA: 8s - loss: 28.1691 - logits_profile_predictions_loss: 27.9586 - logcount_predictions_loss: 0.2105 205/266 [======================>.......] - ETA: 8s - loss: 28.1657 - logits_profile_predictions_loss: 27.9552 - logcount_predictions_loss: 0.2105 206/266 [======================>.......] - ETA: 8s - loss: 28.1511 - logits_profile_predictions_loss: 27.9408 - logcount_predictions_loss: 0.2103 207/266 [======================>.......] - ETA: 8s - loss: 28.1504 - logits_profile_predictions_loss: 27.9402 - logcount_predictions_loss: 0.2102 208/266 [======================>.......] - ETA: 7s - loss: 28.1588 - logits_profile_predictions_loss: 27.9483 - logcount_predictions_loss: 0.2105 209/266 [======================>.......] - ETA: 7s - loss: 28.1659 - logits_profile_predictions_loss: 27.9557 - logcount_predictions_loss: 0.2103 210/266 [======================>.......] - ETA: 7s - loss: 28.1584 - logits_profile_predictions_loss: 27.9481 - logcount_predictions_loss: 0.2103 211/266 [======================>.......] - ETA: 7s - loss: 28.1542 - logits_profile_predictions_loss: 27.9440 - logcount_predictions_loss: 0.2103 212/266 [======================>.......] - ETA: 7s - loss: 28.1635 - logits_profile_predictions_loss: 27.9533 - logcount_predictions_loss: 0.2103 213/266 [=======================>......] - ETA: 7s - loss: 28.1695 - logits_profile_predictions_loss: 27.9591 - logcount_predictions_loss: 0.2104 214/266 [=======================>......] - ETA: 7s - loss: 28.1897 - logits_profile_predictions_loss: 27.9795 - logcount_predictions_loss: 0.2102 215/266 [=======================>......] - ETA: 6s - loss: 28.1951 - logits_profile_predictions_loss: 27.9850 - logcount_predictions_loss: 0.2101 216/266 [=======================>......] - ETA: 6s - loss: 28.1955 - logits_profile_predictions_loss: 27.9855 - logcount_predictions_loss: 0.2099 217/266 [=======================>......] - ETA: 6s - loss: 28.1877 - logits_profile_predictions_loss: 27.9779 - logcount_predictions_loss: 0.2099 218/266 [=======================>......] - ETA: 6s - loss: 28.1838 - logits_profile_predictions_loss: 27.9740 - logcount_predictions_loss: 0.2098 219/266 [=======================>......] - ETA: 6s - loss: 28.1811 - logits_profile_predictions_loss: 27.9713 - logcount_predictions_loss: 0.2098 220/266 [=======================>......] - ETA: 6s - loss: 28.1854 - logits_profile_predictions_loss: 27.9753 - logcount_predictions_loss: 0.2101 221/266 [=======================>......] - ETA: 6s - loss: 28.1846 - logits_profile_predictions_loss: 27.9747 - logcount_predictions_loss: 0.2100 222/266 [========================>.....] - ETA: 5s - loss: 28.1921 - logits_profile_predictions_loss: 27.9822 - logcount_predictions_loss: 0.2100 223/266 [========================>.....] - ETA: 5s - loss: 28.1803 - logits_profile_predictions_loss: 27.9704 - logcount_predictions_loss: 0.2099 224/266 [========================>.....] - ETA: 5s - loss: 28.1794 - logits_profile_predictions_loss: 27.9694 - logcount_predictions_loss: 0.2100 225/266 [========================>.....] - ETA: 5s - loss: 28.1816 - logits_profile_predictions_loss: 27.9714 - logcount_predictions_loss: 0.2102 226/266 [========================>.....] - ETA: 5s - loss: 28.1687 - logits_profile_predictions_loss: 27.9583 - logcount_predictions_loss: 0.2103 227/266 [========================>.....] - ETA: 5s - loss: 28.1783 - logits_profile_predictions_loss: 27.9680 - logcount_predictions_loss: 0.2103 228/266 [========================>.....] - ETA: 5s - loss: 28.1692 - logits_profile_predictions_loss: 27.9591 - logcount_predictions_loss: 0.2101 229/266 [========================>.....] - ETA: 5s - loss: 28.1645 - logits_profile_predictions_loss: 27.9546 - logcount_predictions_loss: 0.2099 230/266 [========================>.....] - ETA: 4s - loss: 28.1609 - logits_profile_predictions_loss: 27.9512 - logcount_predictions_loss: 0.2097 231/266 [=========================>....] - ETA: 4s - loss: 28.1555 - logits_profile_predictions_loss: 27.9459 - logcount_predictions_loss: 0.2097 232/266 [=========================>....] - ETA: 4s - loss: 28.1499 - logits_profile_predictions_loss: 27.9403 - logcount_predictions_loss: 0.2097 233/266 [=========================>....] - ETA: 4s - loss: 28.1624 - logits_profile_predictions_loss: 27.9531 - logcount_predictions_loss: 0.2093 234/266 [=========================>....] - ETA: 4s - loss: 28.1678 - logits_profile_predictions_loss: 27.9582 - logcount_predictions_loss: 0.2095 235/266 [=========================>....] - ETA: 4s - loss: 28.1649 - logits_profile_predictions_loss: 27.9555 - logcount_predictions_loss: 0.2094 236/266 [=========================>....] - ETA: 4s - loss: 28.1707 - logits_profile_predictions_loss: 27.9612 - logcount_predictions_loss: 0.2095 237/266 [=========================>....] - ETA: 3s - loss: 28.1581 - logits_profile_predictions_loss: 27.9487 - logcount_predictions_loss: 0.2094 239/266 [=========================>....] - ETA: 3s - loss: 28.1659 - logits_profile_predictions_loss: 27.9563 - logcount_predictions_loss: 0.2097 240/266 [==========================>...] - ETA: 3s - loss: 28.1745 - logits_profile_predictions_loss: 27.9648 - logcount_predictions_loss: 0.2097 241/266 [==========================>...] - ETA: 3s - loss: 28.1644 - logits_profile_predictions_loss: 27.9548 - logcount_predictions_loss: 0.2097 242/266 [==========================>...] - ETA: 3s - loss: 28.1658 - logits_profile_predictions_loss: 27.9561 - logcount_predictions_loss: 0.2096 243/266 [==========================>...] - ETA: 3s - loss: 28.1614 - logits_profile_predictions_loss: 27.9519 - logcount_predictions_loss: 0.2095 244/266 [==========================>...] - ETA: 2s - loss: 28.1569 - logits_profile_predictions_loss: 27.9474 - logcount_predictions_loss: 0.2095 245/266 [==========================>...] - ETA: 2s - loss: 28.1529 - logits_profile_predictions_loss: 27.9432 - logcount_predictions_loss: 0.2097 246/266 [==========================>...] - ETA: 2s - loss: 28.1347 - logits_profile_predictions_loss: 27.9252 - logcount_predictions_loss: 0.2095 247/266 [==========================>...] - ETA: 2s - loss: 28.1405 - logits_profile_predictions_loss: 27.9311 - logcount_predictions_loss: 0.2095 248/266 [==========================>...] - ETA: 2s - loss: 28.1570 - logits_profile_predictions_loss: 27.9473 - logcount_predictions_loss: 0.2097 249/266 [===========================>..] - ETA: 2s - loss: 28.1591 - logits_profile_predictions_loss: 27.9496 - logcount_predictions_loss: 0.2096 250/266 [===========================>..] - ETA: 2s - loss: 28.1640 - logits_profile_predictions_loss: 27.9544 - logcount_predictions_loss: 0.2096 251/266 [===========================>..] - ETA: 2s - loss: 28.1685 - logits_profile_predictions_loss: 27.9591 - logcount_predictions_loss: 0.2094 252/266 [===========================>..] - ETA: 1s - loss: 28.1649 - logits_profile_predictions_loss: 27.9554 - logcount_predictions_loss: 0.2095 253/266 [===========================>..] - ETA: 1s - loss: 28.1634 - logits_profile_predictions_loss: 27.9540 - logcount_predictions_loss: 0.2095 254/266 [===========================>..] - ETA: 1s - loss: 28.1858 - logits_profile_predictions_loss: 27.9761 - logcount_predictions_loss: 0.2097 255/266 [===========================>..] - ETA: 1s - loss: 28.1824 - logits_profile_predictions_loss: 27.9729 - logcount_predictions_loss: 0.2095 256/266 [===========================>..] - ETA: 1s - loss: 28.1914 - logits_profile_predictions_loss: 27.9820 - logcount_predictions_loss: 0.2094 257/266 [===========================>..] - ETA: 1s - loss: 28.1823 - logits_profile_predictions_loss: 27.9728 - logcount_predictions_loss: 0.2095 258/266 [============================>.] - ETA: 1s - loss: 28.1926 - logits_profile_predictions_loss: 27.9831 - logcount_predictions_loss: 0.2095 259/266 [============================>.] - ETA: 0s - loss: 28.1952 - logits_profile_predictions_loss: 27.9855 - logcount_predictions_loss: 0.2097 260/266 [============================>.] - ETA: 0s - loss: 28.2038 - logits_profile_predictions_loss: 27.9940 - logcount_predictions_loss: 0.2098 261/266 [============================>.] - ETA: 0s - loss: 28.2004 - logits_profile_predictions_loss: 27.9907 - logcount_predictions_loss: 0.2097 262/266 [============================>.] - ETA: 0s - loss: 28.2003 - logits_profile_predictions_loss: 27.9907 - logcount_predictions_loss: 0.2097 263/266 [============================>.] - ETA: 0s - loss: 28.2132 - logits_profile_predictions_loss: 28.0033 - logcount_predictions_loss: 0.2099 264/266 [============================>.] - ETA: 0s - loss: 28.2012 - logits_profile_predictions_loss: 27.9912 - logcount_predictions_loss: 0.2100 265/266 [============================>.] - ETA: 0s - loss: 28.1875 - logits_profile_predictions_loss: 27.9776 - logcount_predictions_loss: 0.2100 266/266 [==============================] - ETA: 0s - loss: 28.1863 - logits_profile_predictions_loss: 27.9765 - logcount_predictions_loss: 0.2098 Epoch 12: val_loss did not improve from 32.98759 Restoring model weights from the end of the best epoch: 7.  266/266 [==============================] - 39s 146ms/step - loss: 28.1863 - logits_profile_predictions_loss: 27.9765 - logcount_predictions_loss: 0.2098 - val_loss: 34.2489 - val_logits_profile_predictions_loss: 34.0589 - val_logcount_predictions_loss: 0.1900 Epoch 12: early stopping save model save model without bias got the model loading peaks... got split:test for bed regions:(3635, 10) 0/57 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 1/57 [..............................] - ETA: 10s 3/57 [>.............................] - ETA: 2s  5/57 [=>............................] - ETA: 2s 7/57 [==>...........................] - ETA: 2s 9/57 [===>..........................] - ETA: 2s 11/57 [====>.........................] - ETA: 2s 13/57 [=====>........................] - ETA: 2s 15/57 [======>.......................] - ETA: 2s 17/57 [=======>......................] - ETA: 1s 19/57 [=========>....................] - ETA: 1s 21/57 [==========>...................] - ETA: 1s 23/57 [===========>..................] - ETA: 1s 25/57 [============>.................] - ETA: 1s 27/57 [=============>................] - ETA: 1s 29/57 [==============>...............] - ETA: 1s 31/57 [===============>..............] - ETA: 1s 33/57 [================>.............] - ETA: 1s 35/57 [=================>............] - ETA: 1s 37/57 [==================>...........] - ETA: 0s 39/57 [===================>..........] - ETA: 0s 41/57 [====================>.........] - ETA: 0s 43/57 [=====================>........] - ETA: 0s 45/57 [======================>.......] - ETA: 0s 47/57 [=======================>......] - ETA: 0s 49/57 [========================>.....] - ETA: 0s 51/57 [=========================>....] - ETA: 0s 53/57 [==========================>...] - ETA: 0s 55/57 [===========================>..] - ETA: 0s 57/57 [==============================] - ETA: 0s 57/57 [==============================] - 3s 48ms/step 1/57 [..............................] - ETA: 1s 3/57 [>.............................] - ETA: 2s 5/57 [=>............................] - ETA: 2s 7/57 [==>...........................] - ETA: 2s 9/57 [===>..........................] - ETA: 2s 11/57 [====>.........................] - ETA: 2s 13/57 [=====>........................] - ETA: 2s 15/57 [======>.......................] - ETA: 2s 17/57 [=======>......................] - ETA: 1s 19/57 [=========>....................] - ETA: 1s 21/57 [==========>...................] - ETA: 1s 23/57 [===========>..................] - ETA: 1s 25/57 [============>.................] - ETA: 1s 27/57 [=============>................] - ETA: 1s 29/57 [==============>...............] - ETA: 1s 31/57 [===============>..............] - ETA: 1s 33/57 [================>.............] - ETA: 1s 35/57 [=================>............] - ETA: 1s 37/57 [==================>...........] - ETA: 0s 39/57 [===================>..........] - ETA: 0s 41/57 [====================>.........] - ETA: 0s 43/57 [=====================>........] - ETA: 0s 45/57 [======================>.......] - ETA: 0s 47/57 [=======================>......] - ETA: 0s 49/57 [========================>.....] - ETA: 0s 51/57 [=========================>....] - ETA: 0s 53/57 [==========================>...] - ETA: 0s 55/57 [===========================>..] - ETA: 0s 57/57 [==============================] - ETA: 0s 57/57 [==============================] - 3s 48ms/step inserting motif: tn5_1 GCACAGTACAGAGCTG 1/57 [..............................] - ETA: 1s 3/57 [>.............................] - ETA: 2s 5/57 [=>............................] - ETA: 2s 7/57 [==>...........................] - ETA: 2s 9/57 [===>..........................] - ETA: 2s 11/57 [====>.........................] - ETA: 2s 13/57 [=====>........................] - ETA: 2s 15/57 [======>.......................] - ETA: 2s 17/57 [=======>......................] - ETA: 1s 19/57 [=========>....................] - ETA: 1s 21/57 [==========>...................] - ETA: 1s 23/57 [===========>..................] - ETA: 1s 25/57 [============>.................] - ETA: 1s 27/57 [=============>................] - ETA: 1s 29/57 [==============>...............] - ETA: 1s 31/57 [===============>..............] - ETA: 1s 33/57 [================>.............] - ETA: 1s 35/57 [=================>............] - ETA: 1s 37/57 [==================>...........] - ETA: 0s 39/57 [===================>..........] - ETA: 0s 41/57 [====================>.........] - ETA: 0s 43/57 [=====================>........] - ETA: 0s 45/57 [======================>.......] - ETA: 0s 47/57 [=======================>......] - ETA: 0s 49/57 [========================>.....] - ETA: 0s 51/57 [=========================>....] - ETA: 0s 53/57 [==========================>...] - ETA: 0s 55/57 [===========================>..] - ETA: 0s 57/57 [==============================] - ETA: 0s 57/57 [==============================] - 3s 48ms/step 1/57 [..............................] - ETA: 1s 3/57 [>.............................] - ETA: 2s 5/57 [=>............................] - ETA: 2s 7/57 [==>...........................] - ETA: 2s 9/57 [===>..........................] - ETA: 2s 11/57 [====>.........................] - ETA: 2s 13/57 [=====>........................] - ETA: 2s 15/57 [======>.......................] - ETA: 2s 17/57 [=======>......................] - ETA: 1s 19/57 [=========>....................] - ETA: 1s 21/57 [==========>...................] - ETA: 1s 23/57 [===========>..................] - ETA: 1s 25/57 [============>.................] - ETA: 1s 27/57 [=============>................] - ETA: 1s 29/57 [==============>...............] - ETA: 1s 31/57 [===============>..............] - ETA: 1s 33/57 [================>.............] - ETA: 1s 35/57 [=================>............] - ETA: 1s 37/57 [==================>...........] - ETA: 0s 39/57 [===================>..........] - ETA: 0s 41/57 [====================>.........] - ETA: 0s 43/57 [=====================>........] - ETA: 0s 45/57 [======================>.......] - ETA: 0s 47/57 [=======================>......] - ETA: 0s 49/57 [========================>.....] - ETA: 0s 51/57 [=========================>....] - ETA: 0s 53/57 [==========================>...] - ETA: 0s 55/57 [===========================>..] - ETA: 0s 57/57 [==============================] - ETA: 0s 57/57 [==============================] - 3s 48ms/step inserting motif: tn5_2 GTGCACAGTTCTAGAGTGTGCAG 1/57 [..............................] - ETA: 1s 3/57 [>.............................] - ETA: 2s 5/57 [=>............................] - ETA: 2s 7/57 [==>...........................] - ETA: 2s 9/57 [===>..........................] - ETA: 2s 11/57 [====>.........................] - ETA: 2s 13/57 [=====>........................] - ETA: 2s 15/57 [======>.......................] - ETA: 2s 17/57 [=======>......................] - ETA: 1s 19/57 [=========>....................] - ETA: 1s 21/57 [==========>...................] - ETA: 1s 23/57 [===========>..................] - ETA: 1s 25/57 [============>.................] - ETA: 1s 27/57 [=============>................] - ETA: 1s 29/57 [==============>...............] - ETA: 1s 31/57 [===============>..............] - ETA: 1s 33/57 [================>.............] - ETA: 1s 35/57 [=================>............] - ETA: 1s 37/57 [==================>...........] - ETA: 0s 39/57 [===================>..........] - ETA: 0s 41/57 [====================>.........] - ETA: 0s 43/57 [=====================>........] - ETA: 0s 45/57 [======================>.......] - ETA: 0s 47/57 [=======================>......] - ETA: 0s 49/57 [========================>.....] - ETA: 0s 51/57 [=========================>....] - ETA: 0s 53/57 [==========================>...] - ETA: 0s 55/57 [===========================>..] - ETA: 0s 57/57 [==============================] - ETA: 0s 57/57 [==============================] - 3s 48ms/step 1/57 [..............................] - ETA: 0s 3/57 [>.............................] - ETA: 2s 5/57 [=>............................] - ETA: 2s 7/57 [==>...........................] - ETA: 2s 9/57 [===>..........................] - ETA: 2s 11/57 [====>.........................] - ETA: 2s 13/57 [=====>........................] - ETA: 2s 15/57 [======>.......................] - ETA: 1s 17/57 [=======>......................] - ETA: 1s 19/57 [=========>....................] - ETA: 1s 21/57 [==========>...................] - ETA: 1s 23/57 [===========>..................] - ETA: 1s 25/57 [============>.................] - ETA: 1s 27/57 [=============>................] - ETA: 1s 29/57 [==============>...............] - ETA: 1s 31/57 [===============>..............] - ETA: 1s 33/57 [================>.............] - ETA: 1s 35/57 [=================>............] - ETA: 1s 37/57 [==================>...........] - ETA: 0s 39/57 [===================>..........] - ETA: 0s 41/57 [====================>.........] - ETA: 0s 43/57 [=====================>........] - ETA: 0s 45/57 [======================>.......] - ETA: 0s 47/57 [=======================>......] - ETA: 0s 49/57 [========================>.....] - ETA: 0s 51/57 [=========================>....] - ETA: 0s 53/57 [==========================>...] - ETA: 0s 55/57 [===========================>..] - ETA: 0s 57/57 [==============================] - ETA: 0s 57/57 [==============================] - 3s 48ms/step inserting motif: tn5_3 CCTCTACACTGTGCAGAA 1/57 [..............................] - ETA: 1s 3/57 [>.............................] - ETA: 2s 5/57 [=>............................] - ETA: 2s 7/57 [==>...........................] - ETA: 2s 9/57 [===>..........................] - ETA: 2s 11/57 [====>.........................] - ETA: 2s 13/57 [=====>........................] - ETA: 2s 15/57 [======>.......................] - ETA: 2s 17/57 [=======>......................] - ETA: 1s 19/57 [=========>....................] - ETA: 1s 21/57 [==========>...................] - ETA: 1s 23/57 [===========>..................] - ETA: 1s 25/57 [============>.................] - ETA: 1s 27/57 [=============>................] - ETA: 1s 29/57 [==============>...............] - ETA: 1s 31/57 [===============>..............] - ETA: 1s 33/57 [================>.............] - ETA: 1s 35/57 [=================>............] - ETA: 1s 37/57 [==================>...........] - ETA: 0s 39/57 [===================>..........] - ETA: 0s 41/57 [====================>.........] - ETA: 0s 43/57 [=====================>........] - ETA: 0s 45/57 [======================>.......] - ETA: 0s 47/57 [=======================>......] - ETA: 0s 49/57 [========================>.....] - ETA: 0s 51/57 [=========================>....] - ETA: 0s 53/57 [==========================>...] - ETA: 0s 55/57 [===========================>..] - ETA: 0s 57/57 [==============================] - ETA: 0s 57/57 [==============================] - 3s 48ms/step 1/57 [..............................] - ETA: 0s 3/57 [>.............................] - ETA: 2s 5/57 [=>............................] - ETA: 2s 7/57 [==>...........................] - ETA: 2s 9/57 [===>..........................] - ETA: 2s 11/57 [====>.........................] - ETA: 2s 13/57 [=====>........................] - ETA: 2s 15/57 [======>.......................] - ETA: 2s 17/57 [=======>......................] - ETA: 1s 19/57 [=========>....................] - ETA: 1s 21/57 [==========>...................] - ETA: 1s 23/57 [===========>..................] - ETA: 1s 25/57 [============>.................] - ETA: 1s 27/57 [=============>................] - ETA: 1s 29/57 [==============>...............] - ETA: 1s 31/57 [===============>..............] - ETA: 1s 33/57 [================>.............] - ETA: 1s 35/57 [=================>............] - ETA: 1s 37/57 [==================>...........] - ETA: 0s 39/57 [===================>..........] - ETA: 0s 41/57 [====================>.........] - ETA: 0s 43/57 [=====================>........] - ETA: 0s 45/57 [======================>.......] - ETA: 0s 47/57 [=======================>......] - ETA: 0s 49/57 [========================>.....] - ETA: 0s 51/57 [=========================>....] - ETA: 0s 53/57 [==========================>...] - ETA: 0s 55/57 [===========================>..] - ETA: 0s 57/57 [==============================] - ETA: 0s 57/57 [==============================] - 3s 48ms/step inserting motif: tn5_4 GCACAGTTCTAGACTGTGCAG 1/57 [..............................] - ETA: 1s 3/57 [>.............................] - ETA: 2s 5/57 [=>............................] - ETA: 2s 7/57 [==>...........................] - ETA: 2s 9/57 [===>..........................] - ETA: 2s 11/57 [====>.........................] - ETA: 2s 13/57 [=====>........................] - ETA: 2s 15/57 [======>.......................] - ETA: 2s 17/57 [=======>......................] - ETA: 1s 19/57 [=========>....................] - ETA: 1s 21/57 [==========>...................] - ETA: 1s 23/57 [===========>..................] - ETA: 1s 25/57 [============>.................] - ETA: 1s 27/57 [=============>................] - ETA: 1s 29/57 [==============>...............] - ETA: 1s 31/57 [===============>..............] - ETA: 1s 33/57 [================>.............] - ETA: 1s 35/57 [=================>............] - ETA: 1s 37/57 [==================>...........] - ETA: 0s 39/57 [===================>..........] - ETA: 0s 41/57 [====================>.........] - ETA: 0s 43/57 [=====================>........] - ETA: 0s 45/57 [======================>.......] - ETA: 0s 47/57 [=======================>......] - ETA: 0s 49/57 [========================>.....] - ETA: 0s 51/57 [=========================>....] - ETA: 0s 53/57 [==========================>...] - ETA: 0s 55/57 [===========================>..] - ETA: 0s 57/57 [==============================] - ETA: 0s 57/57 [==============================] - 3s 48ms/step 1/57 [..............................] - ETA: 1s 3/57 [>.............................] - ETA: 2s 5/57 [=>............................] - ETA: 2s 7/57 [==>...........................] - ETA: 2s 9/57 [===>..........................] - ETA: 2s 11/57 [====>.........................] - ETA: 2s 13/57 [=====>........................] - ETA: 2s 15/57 [======>.......................] - ETA: 2s 17/57 [=======>......................] - ETA: 1s 19/57 [=========>....................] - ETA: 1s 21/57 [==========>...................] - ETA: 1s 23/57 [===========>..................] - ETA: 1s 25/57 [============>.................] - ETA: 1s 27/57 [=============>................] - ETA: 1s 29/57 [==============>...............] - ETA: 1s 31/57 [===============>..............] - ETA: 1s 33/57 [================>.............] - ETA: 1s 35/57 [=================>............] - ETA: 1s 37/57 [==================>...........] - ETA: 0s 39/57 [===================>..........] - ETA: 0s 41/57 [====================>.........] - ETA: 0s 43/57 [=====================>........] - ETA: 0s 45/57 [======================>.......] - ETA: 0s 47/57 [=======================>......] - ETA: 0s 49/57 [========================>.....] - ETA: 0s 51/57 [=========================>....] - ETA: 0s 53/57 [==========================>...] - ETA: 0s 55/57 [===========================>..] - ETA: 0s 57/57 [==============================] - ETA: 0s 57/57 [==============================] - 3s 48ms/step inserting motif: tn5_5 CTGCACAGTGTAGAGTTGTGC 1/57 [..............................] - ETA: 1s 3/57 [>.............................] - ETA: 2s 5/57 [=>............................] - ETA: 2s 7/57 [==>...........................] - ETA: 2s 9/57 [===>..........................] - ETA: 2s 11/57 [====>.........................] - ETA: 2s 13/57 [=====>........................] - ETA: 2s 15/57 [======>.......................] - ETA: 2s 17/57 [=======>......................] - ETA: 1s 19/57 [=========>....................] - ETA: 1s 21/57 [==========>...................] - ETA: 1s 23/57 [===========>..................] - ETA: 1s 25/57 [============>.................] - ETA: 1s 27/57 [=============>................] - ETA: 1s 29/57 [==============>...............] - ETA: 1s 31/57 [===============>..............] - ETA: 1s 33/57 [================>.............] - ETA: 1s 35/57 [=================>............] - ETA: 1s 37/57 [==================>...........] - ETA: 0s 39/57 [===================>..........] - ETA: 0s 41/57 [====================>.........] - ETA: 0s 43/57 [=====================>........] - ETA: 0s 45/57 [======================>.......] - ETA: 0s 47/57 [=======================>......] - ETA: 0s 49/57 [========================>.....] - ETA: 0s 51/57 [=========================>....] - ETA: 0s 53/57 [==========================>...] - ETA: 0s 55/57 [===========================>..] - ETA: 0s 57/57 [==============================] - ETA: 0s 57/57 [==============================] - 3s 48ms/step 1/57 [..............................] - ETA: 0s 3/57 [>.............................] - ETA: 2s 5/57 [=>............................] - ETA: 2s 7/57 [==>...........................] - ETA: 2s 9/57 [===>..........................] - ETA: 2s 11/57 [====>.........................] - ETA: 2s 13/57 [=====>........................] - ETA: 2s 15/57 [======>.......................] - ETA: 2s 17/57 [=======>......................] - ETA: 1s 19/57 [=========>....................] - ETA: 1s 21/57 [==========>...................] - ETA: 1s 23/57 [===========>..................] - ETA: 1s 25/57 [============>.................] - ETA: 1s 27/57 [=============>................] - ETA: 1s 29/57 [==============>...............] - ETA: 1s 31/57 [===============>..............] - ETA: 1s 33/57 [================>.............] - ETA: 1s 35/57 [=================>............] - ETA: 1s 37/57 [==================>...........] - ETA: 0s 39/57 [===================>..........] - ETA: 0s 41/57 [====================>.........] - ETA: 0s 43/57 [=====================>........] - ETA: 0s 45/57 [======================>.......] - ETA: 0s 47/57 [=======================>......] - ETA: 0s 49/57 [========================>.....] - ETA: 0s 51/57 [=========================>....] - ETA: 0s 53/57 [==========================>...] - ETA: 0s 55/57 [===========================>..] - ETA: 0s 57/57 [==============================] - ETA: 0s 57/57 [==============================] - 3s 48ms/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 : (20522, 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 20522 Done 100 examples of 20522 Done 200 examples of 20522 Done 300 examples of 20522 Done 400 examples of 20522 Done 500 examples of 20522 Done 600 examples of 20522 Done 700 examples of 20522 Done 800 examples of 20522 Done 900 examples of 20522 Done 1000 examples of 20522 Done 1100 examples of 20522 Done 1200 examples of 20522 Done 1300 examples of 20522 Done 1400 examples of 20522 Done 1500 examples of 20522 Done 1600 examples of 20522 Done 1700 examples of 20522 Done 1800 examples of 20522 Done 1900 examples of 20522 Done 2000 examples of 20522 Done 2100 examples of 20522 Done 2200 examples of 20522 Done 2300 examples of 20522 Done 2400 examples of 20522 Done 2500 examples of 20522 Done 2600 examples of 20522 Done 2700 examples of 20522 Done 2800 examples of 20522 Done 2900 examples of 20522 Done 3000 examples of 20522 Done 3100 examples of 20522 Done 3200 examples of 20522 Done 3300 examples of 20522 Done 3400 examples of 20522 Done 3500 examples of 20522 Done 3600 examples of 20522 Done 3700 examples of 20522 Done 3800 examples of 20522 Done 3900 examples of 20522 Done 4000 examples of 20522 Done 4100 examples of 20522 Done 4200 examples of 20522 Done 4300 examples of 20522 Done 4400 examples of 20522 Done 4500 examples of 20522 Done 4600 examples of 20522 Done 4700 examples of 20522 Done 4800 examples of 20522 Done 4900 examples of 20522 Done 5000 examples of 20522 Done 5100 examples of 20522 Done 5200 examples of 20522 Done 5300 examples of 20522 Done 5400 examples of 20522 Done 5500 examples of 20522 Done 5600 examples of 20522 Done 5700 examples of 20522 Done 5800 examples of 20522 Done 5900 examples of 20522 Done 6000 examples of 20522 Done 6100 examples of 20522 Done 6200 examples of 20522 Done 6300 examples of 20522 Done 6400 examples of 20522 Done 6500 examples of 20522 Done 6600 examples of 20522 Done 6700 examples of 20522 Done 6800 examples of 20522 Done 6900 examples of 20522 Done 7000 examples of 20522 Done 7100 examples of 20522 Done 7200 examples of 20522 Done 7300 examples of 20522 Done 7400 examples of 20522 Done 7500 examples of 20522 Done 7600 examples of 20522 Done 7700 examples of 20522 Done 7800 examples of 20522 Done 7900 examples of 20522 Done 8000 examples of 20522 Done 8100 examples of 20522 Done 8200 examples of 20522 Done 8300 examples of 20522 Done 8400 examples of 20522 Done 8500 examples of 20522 Done 8600 examples of 20522 Done 8700 examples of 20522 Done 8800 examples of 20522 Done 8900 examples of 20522 Done 9000 examples of 20522 Done 9100 examples of 20522 Done 9200 examples of 20522 Done 9300 examples of 20522 Done 9400 examples of 20522 Done 9500 examples of 20522 Done 9600 examples of 20522 Done 9700 examples of 20522 Done 9800 examples of 20522 Done 9900 examples of 20522 Done 10000 examples of 20522 Done 10100 examples of 20522 Done 10200 examples of 20522 Done 10300 examples of 20522 Done 10400 examples of 20522 Done 10500 examples of 20522 Done 10600 examples of 20522 Done 10700 examples of 20522 Done 10800 examples of 20522 Done 10900 examples of 20522 Done 11000 examples of 20522 Done 11100 examples of 20522 Done 11200 examples of 20522 Done 11300 examples of 20522 Done 11400 examples of 20522 Done 11500 examples of 20522 Done 11600 examples of 20522 Done 11700 examples of 20522 Done 11800 examples of 20522 Done 11900 examples of 20522 Done 12000 examples of 20522 Done 12100 examples of 20522 Done 12200 examples of 20522 Done 12300 examples of 20522 Done 12400 examples of 20522 Done 12500 examples of 20522 Done 12600 examples of 20522 Done 12700 examples of 20522 Done 12800 examples of 20522 Done 12900 examples of 20522 Done 13000 examples of 20522 Done 13100 examples of 20522 Done 13200 examples of 20522 Done 13300 examples of 20522 Done 13400 examples of 20522 Done 13500 examples of 20522 Done 13600 examples of 20522 Done 13700 examples of 20522 Done 13800 examples of 20522 Done 13900 examples of 20522 Done 14000 examples of 20522 Done 14100 examples of 20522 Done 14200 examples of 20522 Done 14300 examples of 20522 Done 14400 examples of 20522 Done 14500 examples of 20522 Done 14600 examples of 20522 Done 14700 examples of 20522 Done 14800 examples of 20522 Done 14900 examples of 20522 Done 15000 examples of 20522 Done 15100 examples of 20522 Done 15200 examples of 20522 Done 15300 examples of 20522 Done 15400 examples of 20522 Done 15500 examples of 20522 Done 15600 examples of 20522 Done 15700 examples of 20522 Done 15800 examples of 20522 Done 15900 examples of 20522 Done 16000 examples of 20522 Done 16100 examples of 20522 Done 16200 examples of 20522 Done 16300 examples of 20522 Done 16400 examples of 20522 Done 16500 examples of 20522 Done 16600 examples of 20522 Done 16700 examples of 20522 Done 16800 examples of 20522 Done 16900 examples of 20522 Done 17000 examples of 20522 Done 17100 examples of 20522 Done 17200 examples of 20522 Done 17300 examples of 20522 Done 17400 examples of 20522 Done 17500 examples of 20522 Done 17600 examples of 20522 Done 17700 examples of 20522 Done 17800 examples of 20522 Done 17900 examples of 20522 Done 18000 examples of 20522 Done 18100 examples of 20522 Done 18200 examples of 20522 Done 18300 examples of 20522 Done 18400 examples of 20522 Done 18500 examples of 20522 Done 18600 examples of 20522 Done 18700 examples of 20522 Done 18800 examples of 20522 Done 18900 examples of 20522 Done 19000 examples of 20522 Done 19100 examples of 20522 Done 19200 examples of 20522 Done 19300 examples of 20522 Done 19400 examples of 20522 Done 19500 examples of 20522 Done 19600 examples of 20522 Done 19700 examples of 20522 Done 19800 examples of 20522 Done 19900 examples of 20522 Done 20000 examples of 20522 Done 20100 examples of 20522 Done 20200 examples of 20522 Done 20300 examples of 20522 Done 20400 examples of 20522 Done 20500 examples of 20522 Saving 'profile' scores