Live Found logdir. Deleting previous model 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: 27952 evaluating hyperparameters on the following chromosomes ['chr1', 'chr2', 'chr3', 'chr4', 'chr5', 'chr6', 'chr8', 'chr9', 'chr11', 'chr12', 'chr14', 'chr15', 'chr16', 'chr20', 'chr22', 'chrY', 'chr10', 'chr18'] Number of peaks input: 12462 Number of peaks filtered because the input/output is on the edge: 0 Number of peaks being used: 12462 Number of peaks input: 3331 Number of peaks filtered because the input/output is on the edge: 0 Number of peaks being used: 3331 Number of non peaks input: 24924 Number of non peaks filtered because the input/output is on the edge: 0 Number of non peaks being used: 24924 Number of non peaks input: 3331 Number of non peaks filtered because the input/output is on the edge: 0 Number of non peaks being used: 3331 Number of peaks after removing outliers: 12460 Number of nonpeaks after removing outliers: 3828 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 1/120 [..............................] - ETA: 4:18 9/120 [=>............................] - ETA: 0s  16/120 [===>..........................] - ETA: 0s 23/120 [====>.........................] - ETA: 0s 30/120 [======>.......................] - ETA: 0s 37/120 [========>.....................] - ETA: 0s 44/120 [==========>...................] - ETA: 0s 51/120 [===========>..................] - ETA: 0s 58/120 [=============>................] - ETA: 0s 65/120 [===============>..............] - ETA: 0s 72/120 [=================>............] - ETA: 0s 79/120 [==================>...........] - ETA: 0s 86/120 [====================>.........] - ETA: 0s 93/120 [======================>.......] - ETA: 0s 100/120 [========================>.....] - ETA: 0s 107/120 [=========================>....] - ETA: 0s 114/120 [===========================>..] - ETA: 0s 120/120 [==============================] - ETA: 0s 120/120 [==============================] - 3s 8ms/step got the model loading peaks... got split:test for bed regions:(3331, 10) 0/53 Bias model pearsonr performance in peaks is: -0.08 {'counts_loss_weight': '1.0', 'filters': '512', 'n_dil_layers': '8', 'bias_model_path': '/oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.adipocyte.H/fold_4/models/bias_model_scaled.h5', 'inputlen': '2114', 'outputlen': '1000', 'max_jitter': '500', 'chr_fold_path': '/oak/stanford/groups/akundaje/soumyak/refs/hg38/splits/fold_4.json', 'negative_sampling_ratio': '0.1'} got the model loading peaks... got split:train for bed regions:(11349, 10) loading nonpeaks... got split:train for bed regions:(3513, 10) loading peaks... got split:valid for bed regions:(1111, 10) loading nonpeaks... got split:valid for bed regions:(315, 10) Epoch 1/50 1/196 [..............................] - ETA: 14:51 - loss: 26.6538 - logits_profile_predictions_loss: 26.4215 - logcount_predictions_loss: 0.2323 2/196 [..............................] - ETA: 57s - loss: 27.1760 - logits_profile_predictions_loss: 26.7090 - logcount_predictions_loss: 0.4670  3/196 [..............................] - ETA: 57s - loss: 27.2747 - logits_profile_predictions_loss: 26.7269 - logcount_predictions_loss: 0.5478 4/196 [..............................] - ETA: 56s - loss: 27.9294 - logits_profile_predictions_loss: 27.3310 - logcount_predictions_loss: 0.5984 5/196 [..............................] - ETA: 56s - loss: 27.7580 - logits_profile_predictions_loss: 27.1281 - logcount_predictions_loss: 0.6299 6/196 [..............................] - ETA: 56s - loss: 27.7934 - logits_profile_predictions_loss: 27.1594 - logcount_predictions_loss: 0.6340 7/196 [>.............................] - ETA: 55s - loss: 27.3405 - logits_profile_predictions_loss: 26.7194 - logcount_predictions_loss: 0.6211 8/196 [>.............................] - ETA: 55s - loss: 27.0391 - logits_profile_predictions_loss: 26.4293 - logcount_predictions_loss: 0.6098 9/196 [>.............................] - ETA: 55s - loss: 27.1664 - logits_profile_predictions_loss: 26.5388 - logcount_predictions_loss: 0.6276 10/196 [>.............................] - ETA: 55s - loss: 27.2657 - logits_profile_predictions_loss: 26.6285 - logcount_predictions_loss: 0.6372 11/196 [>.............................] - ETA: 54s - loss: 26.8121 - logits_profile_predictions_loss: 26.1883 - logcount_predictions_loss: 0.6237 12/196 [>.............................] - ETA: 54s - loss: 26.5397 - logits_profile_predictions_loss: 25.9320 - logcount_predictions_loss: 0.6077 13/196 [>.............................] - ETA: 54s - loss: 26.5931 - logits_profile_predictions_loss: 25.9807 - logcount_predictions_loss: 0.6123 14/196 [=>............................] - ETA: 53s - loss: 26.6112 - logits_profile_predictions_loss: 26.0000 - logcount_predictions_loss: 0.6112 15/196 [=>............................] - ETA: 53s - loss: 26.6056 - logits_profile_predictions_loss: 25.9934 - logcount_predictions_loss: 0.6122 16/196 [=>............................] - ETA: 53s - loss: 26.5553 - logits_profile_predictions_loss: 25.9416 - logcount_predictions_loss: 0.6137 17/196 [=>............................] - ETA: 52s - loss: 26.6558 - logits_profile_predictions_loss: 26.0388 - logcount_predictions_loss: 0.6170 18/196 [=>............................] - ETA: 52s - loss: 26.4607 - logits_profile_predictions_loss: 25.8509 - logcount_predictions_loss: 0.6098 19/196 [=>............................] - ETA: 52s - loss: 26.4816 - logits_profile_predictions_loss: 25.8691 - logcount_predictions_loss: 0.6124 20/196 [==>...........................] - ETA: 52s - loss: 26.4847 - logits_profile_predictions_loss: 25.8685 - logcount_predictions_loss: 0.6162 21/196 [==>...........................] - ETA: 51s - loss: 26.4749 - logits_profile_predictions_loss: 25.8598 - logcount_predictions_loss: 0.6152 22/196 [==>...........................] - ETA: 51s - loss: 26.4657 - logits_profile_predictions_loss: 25.8503 - logcount_predictions_loss: 0.6153 23/196 [==>...........................] - ETA: 51s - loss: 26.2389 - logits_profile_predictions_loss: 25.6342 - logcount_predictions_loss: 0.6047 24/196 [==>...........................] - ETA: 50s - loss: 26.3040 - logits_profile_predictions_loss: 25.6913 - logcount_predictions_loss: 0.6127 25/196 [==>...........................] - ETA: 50s - loss: 26.2166 - logits_profile_predictions_loss: 25.6050 - logcount_predictions_loss: 0.6117 26/196 [==>...........................] - ETA: 50s - loss: 26.0935 - logits_profile_predictions_loss: 25.4881 - logcount_predictions_loss: 0.6054 27/196 [===>..........................] - ETA: 49s - loss: 26.0590 - logits_profile_predictions_loss: 25.4528 - logcount_predictions_loss: 0.6061 28/196 [===>..........................] - ETA: 49s - loss: 26.1424 - logits_profile_predictions_loss: 25.5340 - logcount_predictions_loss: 0.6085 29/196 [===>..........................] - ETA: 49s - loss: 26.1294 - logits_profile_predictions_loss: 25.5201 - logcount_predictions_loss: 0.6093 30/196 [===>..........................] - ETA: 49s - loss: 26.0656 - logits_profile_predictions_loss: 25.4548 - logcount_predictions_loss: 0.6108 31/196 [===>..........................] - ETA: 48s - loss: 25.9870 - logits_profile_predictions_loss: 25.3798 - logcount_predictions_loss: 0.6072 32/196 [===>..........................] - ETA: 48s - loss: 26.0280 - logits_profile_predictions_loss: 25.4180 - logcount_predictions_loss: 0.6100 33/196 [====>.........................] - ETA: 48s - loss: 25.9622 - logits_profile_predictions_loss: 25.3555 - logcount_predictions_loss: 0.6066 34/196 [====>.........................] - ETA: 47s - loss: 25.9852 - logits_profile_predictions_loss: 25.3745 - logcount_predictions_loss: 0.6107 35/196 [====>.........................] - ETA: 47s - loss: 25.9793 - logits_profile_predictions_loss: 25.3704 - logcount_predictions_loss: 0.6089 36/196 [====>.........................] - ETA: 47s - loss: 25.9195 - logits_profile_predictions_loss: 25.3129 - logcount_predictions_loss: 0.6066 37/196 [====>.........................] - ETA: 46s - loss: 25.9635 - logits_profile_predictions_loss: 25.3537 - logcount_predictions_loss: 0.6098 38/196 [====>.........................] - ETA: 46s - loss: 25.9357 - logits_profile_predictions_loss: 25.3272 - logcount_predictions_loss: 0.6086 39/196 [====>.........................] - ETA: 46s - loss: 26.0654 - logits_profile_predictions_loss: 25.4500 - logcount_predictions_loss: 0.6154 40/196 [=====>........................] - ETA: 46s - loss: 26.0367 - logits_profile_predictions_loss: 25.4226 - logcount_predictions_loss: 0.6141 41/196 [=====>........................] - ETA: 45s - loss: 26.0855 - logits_profile_predictions_loss: 25.4697 - logcount_predictions_loss: 0.6158 42/196 [=====>........................] - ETA: 45s - loss: 26.0605 - logits_profile_predictions_loss: 25.4473 - logcount_predictions_loss: 0.6131 43/196 [=====>........................] - ETA: 45s - loss: 26.1176 - logits_profile_predictions_loss: 25.5019 - logcount_predictions_loss: 0.6157 44/196 [=====>........................] - ETA: 44s - loss: 26.0284 - logits_profile_predictions_loss: 25.4175 - logcount_predictions_loss: 0.6109 45/196 [=====>........................] - ETA: 44s - loss: 26.0706 - logits_profile_predictions_loss: 25.4596 - logcount_predictions_loss: 0.6110 46/196 [======>.......................] - ETA: 44s - loss: 26.0245 - logits_profile_predictions_loss: 25.4140 - logcount_predictions_loss: 0.6104 47/196 [======>.......................] - ETA: 43s - loss: 26.0321 - logits_profile_predictions_loss: 25.4209 - logcount_predictions_loss: 0.6112 48/196 [======>.......................] - ETA: 43s - loss: 26.0557 - logits_profile_predictions_loss: 25.4426 - logcount_predictions_loss: 0.6131 49/196 [======>.......................] - ETA: 43s - loss: 26.0031 - logits_profile_predictions_loss: 25.3940 - logcount_predictions_loss: 0.6091 50/196 [======>.......................] - ETA: 43s - loss: 26.0030 - logits_profile_predictions_loss: 25.3958 - logcount_predictions_loss: 0.6073 51/196 [======>.......................] - ETA: 42s - loss: 26.0359 - logits_profile_predictions_loss: 25.4292 - logcount_predictions_loss: 0.6068 52/196 [======>.......................] - ETA: 42s - loss: 25.9994 - logits_profile_predictions_loss: 25.3967 - logcount_predictions_loss: 0.6027 53/196 [=======>......................] - ETA: 42s - loss: 25.9808 - logits_profile_predictions_loss: 25.3839 - logcount_predictions_loss: 0.5969 54/196 [=======>......................] - ETA: 41s - loss: 25.9696 - logits_profile_predictions_loss: 25.3789 - logcount_predictions_loss: 0.5907 55/196 [=======>......................] - ETA: 41s - loss: 25.9787 - logits_profile_predictions_loss: 25.3931 - logcount_predictions_loss: 0.5856 56/196 [=======>......................] - ETA: 41s - loss: 26.0154 - logits_profile_predictions_loss: 25.4350 - logcount_predictions_loss: 0.5804 57/196 [=======>......................] - ETA: 41s - loss: 25.9661 - logits_profile_predictions_loss: 25.3914 - logcount_predictions_loss: 0.5748 58/196 [=======>......................] - ETA: 40s - loss: 25.9474 - logits_profile_predictions_loss: 25.3782 - logcount_predictions_loss: 0.5691 59/196 [========>.....................] - ETA: 40s - loss: 25.9020 - logits_profile_predictions_loss: 25.3383 - logcount_predictions_loss: 0.5636 60/196 [========>.....................] - ETA: 40s - loss: 25.9003 - logits_profile_predictions_loss: 25.3424 - logcount_predictions_loss: 0.5579 61/196 [========>.....................] - ETA: 39s - loss: 25.8744 - logits_profile_predictions_loss: 25.3221 - logcount_predictions_loss: 0.5523 62/196 [========>.....................] - ETA: 39s - loss: 25.9766 - logits_profile_predictions_loss: 25.4270 - logcount_predictions_loss: 0.5496 63/196 [========>.....................] - ETA: 39s - loss: 25.9810 - logits_profile_predictions_loss: 25.4359 - logcount_predictions_loss: 0.5450 64/196 [========>.....................] - ETA: 38s - loss: 26.0022 - logits_profile_predictions_loss: 25.4615 - logcount_predictions_loss: 0.5407 65/196 [========>.....................] - ETA: 38s - loss: 26.0168 - logits_profile_predictions_loss: 25.4808 - logcount_predictions_loss: 0.5360 66/196 [=========>....................] - ETA: 38s - loss: 26.0242 - logits_profile_predictions_loss: 25.4916 - logcount_predictions_loss: 0.5326 67/196 [=========>....................] - ETA: 38s - loss: 26.0374 - logits_profile_predictions_loss: 25.5091 - logcount_predictions_loss: 0.5283 68/196 [=========>....................] - ETA: 37s - loss: 26.0474 - logits_profile_predictions_loss: 25.5230 - logcount_predictions_loss: 0.5245 69/196 [=========>....................] - ETA: 37s - loss: 26.0421 - logits_profile_predictions_loss: 25.5218 - logcount_predictions_loss: 0.5203 70/196 [=========>....................] - ETA: 37s - loss: 26.0429 - logits_profile_predictions_loss: 25.5253 - logcount_predictions_loss: 0.5176 71/196 [=========>....................] - ETA: 36s - loss: 26.0242 - logits_profile_predictions_loss: 25.5104 - logcount_predictions_loss: 0.5138 72/196 [==========>...................] - ETA: 36s - loss: 25.9828 - logits_profile_predictions_loss: 25.4728 - logcount_predictions_loss: 0.5100 73/196 [==========>...................] - ETA: 36s - loss: 25.9837 - logits_profile_predictions_loss: 25.4738 - logcount_predictions_loss: 0.5099 74/196 [==========>...................] - ETA: 36s - loss: 25.9365 - logits_profile_predictions_loss: 25.4303 - logcount_predictions_loss: 0.5062 75/196 [==========>...................] - ETA: 36s - loss: 25.9173 - logits_profile_predictions_loss: 25.4144 - logcount_predictions_loss: 0.5029 76/196 [==========>...................] - ETA: 35s - loss: 25.8929 - logits_profile_predictions_loss: 25.3932 - logcount_predictions_loss: 0.4997 77/196 [==========>...................] - ETA: 35s - loss: 25.8912 - logits_profile_predictions_loss: 25.3954 - logcount_predictions_loss: 0.4958 78/196 [==========>...................] - ETA: 35s - loss: 25.8948 - logits_profile_predictions_loss: 25.4025 - logcount_predictions_loss: 0.4922 79/196 [===========>..................] - ETA: 34s - loss: 25.8955 - logits_profile_predictions_loss: 25.4072 - logcount_predictions_loss: 0.4883 80/196 [===========>..................] - ETA: 34s - loss: 25.8872 - logits_profile_predictions_loss: 25.4015 - logcount_predictions_loss: 0.4857 81/196 [===========>..................] - ETA: 34s - loss: 25.9023 - logits_profile_predictions_loss: 25.4192 - logcount_predictions_loss: 0.4832 82/196 [===========>..................] - ETA: 33s - loss: 25.8986 - logits_profile_predictions_loss: 25.4177 - logcount_predictions_loss: 0.4809 83/196 [===========>..................] - ETA: 33s - loss: 25.9372 - logits_profile_predictions_loss: 25.4588 - logcount_predictions_loss: 0.4784 84/196 [===========>..................] - ETA: 33s - loss: 25.9274 - logits_profile_predictions_loss: 25.4518 - logcount_predictions_loss: 0.4756 85/196 [============>.................] - ETA: 33s - loss: 25.8888 - logits_profile_predictions_loss: 25.4168 - logcount_predictions_loss: 0.4719 86/196 [============>.................] - ETA: 32s - loss: 25.9059 - logits_profile_predictions_loss: 25.4369 - logcount_predictions_loss: 0.4690 87/196 [============>.................] - ETA: 32s - loss: 25.8968 - logits_profile_predictions_loss: 25.4294 - logcount_predictions_loss: 0.4674 88/196 [============>.................] - ETA: 32s - loss: 25.9226 - logits_profile_predictions_loss: 25.4576 - logcount_predictions_loss: 0.4649 89/196 [============>.................] - ETA: 31s - loss: 25.9379 - logits_profile_predictions_loss: 25.4759 - logcount_predictions_loss: 0.4619 90/196 [============>.................] - ETA: 31s - loss: 25.9277 - logits_profile_predictions_loss: 25.4690 - logcount_predictions_loss: 0.4587 91/196 [============>.................] - ETA: 31s - loss: 25.9361 - logits_profile_predictions_loss: 25.4797 - logcount_predictions_loss: 0.4564 92/196 [=============>................] - ETA: 30s - loss: 25.9379 - logits_profile_predictions_loss: 25.4841 - logcount_predictions_loss: 0.4538 93/196 [=============>................] - ETA: 30s - loss: 25.9317 - logits_profile_predictions_loss: 25.4805 - logcount_predictions_loss: 0.4511 94/196 [=============>................] - ETA: 30s - loss: 25.9187 - logits_profile_predictions_loss: 25.4699 - logcount_predictions_loss: 0.4488 95/196 [=============>................] - ETA: 30s - loss: 25.9032 - logits_profile_predictions_loss: 25.4565 - logcount_predictions_loss: 0.4466 96/196 [=============>................] - ETA: 29s - loss: 25.8988 - logits_profile_predictions_loss: 25.4538 - logcount_predictions_loss: 0.4450 97/196 [=============>................] - ETA: 29s - loss: 25.8958 - logits_profile_predictions_loss: 25.4540 - logcount_predictions_loss: 0.4418 98/196 [==============>...............] - ETA: 29s - loss: 25.9010 - logits_profile_predictions_loss: 25.4607 - logcount_predictions_loss: 0.4404 99/196 [==============>...............] - ETA: 28s - loss: 25.8997 - logits_profile_predictions_loss: 25.4617 - logcount_predictions_loss: 0.4380 100/196 [==============>...............] - ETA: 28s - loss: 25.9122 - logits_profile_predictions_loss: 25.4762 - logcount_predictions_loss: 0.4359 101/196 [==============>...............] - ETA: 28s - loss: 25.9075 - logits_profile_predictions_loss: 25.4733 - logcount_predictions_loss: 0.4342 102/196 [==============>...............] - ETA: 27s - loss: 25.9056 - logits_profile_predictions_loss: 25.4735 - logcount_predictions_loss: 0.4320 103/196 [==============>...............] - ETA: 27s - loss: 25.8695 - logits_profile_predictions_loss: 25.4395 - logcount_predictions_loss: 0.4300 104/196 [==============>...............] - ETA: 27s - loss: 25.9006 - logits_profile_predictions_loss: 25.4723 - logcount_predictions_loss: 0.4282 105/196 [===============>..............] - ETA: 27s - loss: 25.9069 - logits_profile_predictions_loss: 25.4808 - logcount_predictions_loss: 0.4260 106/196 [===============>..............] - ETA: 26s - loss: 25.8866 - logits_profile_predictions_loss: 25.4625 - logcount_predictions_loss: 0.4242 107/196 [===============>..............] - ETA: 26s - loss: 25.8789 - logits_profile_predictions_loss: 25.4568 - logcount_predictions_loss: 0.4221 108/196 [===============>..............] - ETA: 26s - loss: 25.8759 - logits_profile_predictions_loss: 25.4556 - logcount_predictions_loss: 0.4204 109/196 [===============>..............] - ETA: 25s - loss: 25.8586 - logits_profile_predictions_loss: 25.4403 - logcount_predictions_loss: 0.4183 110/196 [===============>..............] - ETA: 25s - loss: 25.8366 - logits_profile_predictions_loss: 25.4209 - logcount_predictions_loss: 0.4157 111/196 [===============>..............] - ETA: 25s - loss: 25.8689 - logits_profile_predictions_loss: 25.4547 - logcount_predictions_loss: 0.4141 112/196 [================>.............] - ETA: 24s - loss: 25.8587 - logits_profile_predictions_loss: 25.4461 - logcount_predictions_loss: 0.4126 113/196 [================>.............] - ETA: 24s - loss: 25.8277 - logits_profile_predictions_loss: 25.4171 - logcount_predictions_loss: 0.4107 114/196 [================>.............] - ETA: 24s - loss: 25.8298 - logits_profile_predictions_loss: 25.4204 - logcount_predictions_loss: 0.4093 115/196 [================>.............] - ETA: 24s - loss: 25.8461 - logits_profile_predictions_loss: 25.4383 - logcount_predictions_loss: 0.4077 116/196 [================>.............] - ETA: 23s - loss: 25.8355 - logits_profile_predictions_loss: 25.4297 - logcount_predictions_loss: 0.4058 117/196 [================>.............] - ETA: 23s - loss: 25.8251 - logits_profile_predictions_loss: 25.4211 - logcount_predictions_loss: 0.4040 118/196 [=================>............] - ETA: 23s - loss: 25.8163 - logits_profile_predictions_loss: 25.4137 - logcount_predictions_loss: 0.4026 119/196 [=================>............] - ETA: 22s - loss: 25.8508 - logits_profile_predictions_loss: 25.4494 - logcount_predictions_loss: 0.4014 120/196 [=================>............] - ETA: 22s - loss: 25.8345 - logits_profile_predictions_loss: 25.4347 - logcount_predictions_loss: 0.3998 121/196 [=================>............] - ETA: 22s - loss: 25.8410 - logits_profile_predictions_loss: 25.4433 - logcount_predictions_loss: 0.3977 122/196 [=================>............] - ETA: 21s - loss: 25.8463 - logits_profile_predictions_loss: 25.4496 - logcount_predictions_loss: 0.3967 123/196 [=================>............] - ETA: 21s - loss: 25.8577 - logits_profile_predictions_loss: 25.4621 - logcount_predictions_loss: 0.3956 124/196 [=================>............] - ETA: 21s - loss: 25.8489 - logits_profile_predictions_loss: 25.4551 - logcount_predictions_loss: 0.3938 125/196 [==================>...........] - ETA: 21s - loss: 25.8567 - logits_profile_predictions_loss: 25.4640 - logcount_predictions_loss: 0.3927 126/196 [==================>...........] - ETA: 20s - loss: 25.8602 - logits_profile_predictions_loss: 25.4689 - logcount_predictions_loss: 0.3913 127/196 [==================>...........] - ETA: 20s - loss: 25.8450 - logits_profile_predictions_loss: 25.4553 - logcount_predictions_loss: 0.3897 128/196 [==================>...........] - ETA: 20s - loss: 25.8637 - 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[==============================] - ETA: 0s - loss: 25.6171 - logits_profile_predictions_loss: 25.2908 - logcount_predictions_loss: 0.3263 Epoch 1: val_loss improved from inf to 26.17728, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.adipocyte.H/fold_4/models/chrombpnet.h5  196/196 [==============================] - 68s 326ms/step - loss: 25.6171 - logits_profile_predictions_loss: 25.2908 - logcount_predictions_loss: 0.3263 - val_loss: 26.1773 - val_logits_profile_predictions_loss: 26.0187 - val_logcount_predictions_loss: 0.1586 Epoch 2/50 1/196 [..............................] - ETA: 59s - loss: 25.7193 - logits_profile_predictions_loss: 25.5124 - logcount_predictions_loss: 0.2069 2/196 [..............................] - ETA: 57s - loss: 25.1202 - logits_profile_predictions_loss: 24.9174 - logcount_predictions_loss: 0.2027 3/196 [..............................] - ETA: 56s - loss: 24.5606 - 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[=====>........................] - ETA: 44s - loss: 25.0958 - logits_profile_predictions_loss: 24.8860 - logcount_predictions_loss: 0.2098 45/196 [=====>........................] - ETA: 44s - loss: 25.1206 - logits_profile_predictions_loss: 24.9106 - logcount_predictions_loss: 0.2100 46/196 [======>.......................] - ETA: 44s - loss: 25.0736 - logits_profile_predictions_loss: 24.8645 - logcount_predictions_loss: 0.2092 47/196 [======>.......................] - ETA: 44s - loss: 25.0676 - logits_profile_predictions_loss: 24.8583 - logcount_predictions_loss: 0.2093 48/196 [======>.......................] - ETA: 43s - loss: 25.1069 - logits_profile_predictions_loss: 24.8979 - logcount_predictions_loss: 0.2090 49/196 [======>.......................] - ETA: 43s - loss: 25.0855 - logits_profile_predictions_loss: 24.8769 - logcount_predictions_loss: 0.2086 50/196 [======>.......................] - ETA: 43s - loss: 25.0608 - logits_profile_predictions_loss: 24.8536 - 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- ETA: 23s - loss: 25.1420 - logits_profile_predictions_loss: 24.9452 - logcount_predictions_loss: 0.1968 119/196 [=================>............] - ETA: 22s - loss: 25.1597 - logits_profile_predictions_loss: 24.9632 - logcount_predictions_loss: 0.1965 120/196 [=================>............] - ETA: 22s - loss: 25.1522 - logits_profile_predictions_loss: 24.9557 - logcount_predictions_loss: 0.1964 121/196 [=================>............] - ETA: 22s - loss: 25.1538 - logits_profile_predictions_loss: 24.9572 - logcount_predictions_loss: 0.1966 122/196 [=================>............] - ETA: 21s - loss: 25.1736 - logits_profile_predictions_loss: 24.9771 - logcount_predictions_loss: 0.1965 123/196 [=================>............] - ETA: 21s - loss: 25.1740 - logits_profile_predictions_loss: 24.9779 - logcount_predictions_loss: 0.1961 124/196 [=================>............] - ETA: 21s - loss: 25.1664 - logits_profile_predictions_loss: 24.9707 - logcount_predictions_loss: 0.1957 125/196 [==================>...........] - ETA: 20s - loss: 25.1691 - logits_profile_predictions_loss: 24.9738 - logcount_predictions_loss: 0.1953 126/196 [==================>...........] - ETA: 20s - loss: 25.1663 - logits_profile_predictions_loss: 24.9711 - logcount_predictions_loss: 0.1953 127/196 [==================>...........] - ETA: 20s - loss: 25.1711 - logits_profile_predictions_loss: 24.9757 - logcount_predictions_loss: 0.1955 128/196 [==================>...........] - ETA: 20s - loss: 25.1779 - logits_profile_predictions_loss: 24.9829 - logcount_predictions_loss: 0.1950 129/196 [==================>...........] - ETA: 19s - loss: 25.1825 - logits_profile_predictions_loss: 24.9875 - logcount_predictions_loss: 0.1950 130/196 [==================>...........] - ETA: 19s - loss: 25.1934 - logits_profile_predictions_loss: 24.9982 - logcount_predictions_loss: 0.1952 131/196 [===================>..........] - ETA: 19s - loss: 25.1861 - logits_profile_predictions_loss: 24.9909 - 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- ETA: 15s - loss: 25.1196 - logits_profile_predictions_loss: 24.9265 - logcount_predictions_loss: 0.1932 146/196 [=====================>........] - ETA: 14s - loss: 25.1238 - logits_profile_predictions_loss: 24.9307 - logcount_predictions_loss: 0.1931 147/196 [=====================>........] - ETA: 14s - loss: 25.1172 - logits_profile_predictions_loss: 24.9243 - logcount_predictions_loss: 0.1929 148/196 [=====================>........] - ETA: 14s - loss: 25.1358 - logits_profile_predictions_loss: 24.9423 - logcount_predictions_loss: 0.1935 149/196 [=====================>........] - ETA: 13s - loss: 25.1193 - logits_profile_predictions_loss: 24.9259 - logcount_predictions_loss: 0.1934 150/196 [=====================>........] - ETA: 13s - loss: 25.1079 - logits_profile_predictions_loss: 24.9150 - logcount_predictions_loss: 0.1929 151/196 [======================>.......] - ETA: 13s - loss: 25.1063 - logits_profile_predictions_loss: 24.9131 - logcount_predictions_loss: 0.1932 152/196 [======================>.......] - ETA: 13s - loss: 25.1221 - logits_profile_predictions_loss: 24.9290 - logcount_predictions_loss: 0.1931 153/196 [======================>.......] - ETA: 12s - loss: 25.1377 - logits_profile_predictions_loss: 24.9444 - logcount_predictions_loss: 0.1933 154/196 [======================>.......] - ETA: 12s - loss: 25.1476 - logits_profile_predictions_loss: 24.9549 - logcount_predictions_loss: 0.1928 155/196 [======================>.......] - ETA: 12s - loss: 25.1552 - logits_profile_predictions_loss: 24.9625 - logcount_predictions_loss: 0.1928 156/196 [======================>.......] - ETA: 11s - loss: 25.1636 - logits_profile_predictions_loss: 24.9710 - logcount_predictions_loss: 0.1926 157/196 [=======================>......] - ETA: 11s - loss: 25.1612 - logits_profile_predictions_loss: 24.9686 - logcount_predictions_loss: 0.1926 158/196 [=======================>......] - ETA: 11s - loss: 25.1724 - logits_profile_predictions_loss: 24.9800 - 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[==========================>...] - ETA: 5s - loss: 25.1688 - logits_profile_predictions_loss: 24.9764 - logcount_predictions_loss: 0.1924 180/196 [==========================>...] - ETA: 4s - loss: 25.1697 - logits_profile_predictions_loss: 24.9778 - logcount_predictions_loss: 0.1919 181/196 [==========================>...] - ETA: 4s - loss: 25.1718 - logits_profile_predictions_loss: 24.9796 - logcount_predictions_loss: 0.1921 182/196 [==========================>...] - ETA: 4s - loss: 25.1695 - logits_profile_predictions_loss: 24.9771 - logcount_predictions_loss: 0.1923 183/196 [===========================>..] - ETA: 3s - loss: 25.1599 - logits_profile_predictions_loss: 24.9679 - logcount_predictions_loss: 0.1920 185/196 [===========================>..] - ETA: 3s - loss: 25.1551 - logits_profile_predictions_loss: 24.9634 - logcount_predictions_loss: 0.1917 186/196 [===========================>..] - ETA: 2s - loss: 25.1660 - logits_profile_predictions_loss: 24.9741 - logcount_predictions_loss: 0.1919 187/196 [===========================>..] - ETA: 2s - loss: 25.1551 - logits_profile_predictions_loss: 24.9633 - logcount_predictions_loss: 0.1918 188/196 [===========================>..] - ETA: 2s - loss: 25.1512 - logits_profile_predictions_loss: 24.9599 - logcount_predictions_loss: 0.1914 189/196 [===========================>..] - ETA: 2s - loss: 25.1564 - logits_profile_predictions_loss: 24.9652 - logcount_predictions_loss: 0.1911 190/196 [============================>.] - ETA: 1s - loss: 25.1640 - logits_profile_predictions_loss: 24.9730 - logcount_predictions_loss: 0.1910 191/196 [============================>.] - ETA: 1s - loss: 25.1627 - logits_profile_predictions_loss: 24.9717 - logcount_predictions_loss: 0.1910 192/196 [============================>.] - ETA: 1s - loss: 25.1520 - logits_profile_predictions_loss: 24.9611 - logcount_predictions_loss: 0.1909 193/196 [============================>.] - ETA: 0s - loss: 25.1518 - logits_profile_predictions_loss: 24.9608 - logcount_predictions_loss: 0.1909 194/196 [============================>.] - ETA: 0s - loss: 25.1653 - logits_profile_predictions_loss: 24.9740 - logcount_predictions_loss: 0.1913 195/196 [============================>.] - ETA: 0s - loss: 25.1721 - logits_profile_predictions_loss: 24.9806 - logcount_predictions_loss: 0.1915 196/196 [==============================] - ETA: 0s - loss: 25.1748 - logits_profile_predictions_loss: 24.9834 - logcount_predictions_loss: 0.1914 Epoch 2: val_loss did not improve from 26.17728  196/196 [==============================] - 60s 307ms/step - loss: 25.1748 - logits_profile_predictions_loss: 24.9834 - logcount_predictions_loss: 0.1914 - val_loss: 26.2000 - val_logits_profile_predictions_loss: 26.0516 - val_logcount_predictions_loss: 0.1483 Epoch 3/50 1/196 [..............................] - ETA: 1:00 - loss: 23.8615 - logits_profile_predictions_loss: 23.6983 - logcount_predictions_loss: 0.1632 2/196 [..............................] - ETA: 56s - loss: 25.3289 - logits_profile_predictions_loss: 25.1430 - logcount_predictions_loss: 0.1859  3/196 [..............................] - ETA: 56s - loss: 25.2690 - logits_profile_predictions_loss: 25.0780 - logcount_predictions_loss: 0.1910 4/196 [..............................] - ETA: 56s - loss: 25.7009 - logits_profile_predictions_loss: 25.4951 - logcount_predictions_loss: 0.2058 5/196 [..............................] - ETA: 56s - loss: 25.5279 - logits_profile_predictions_loss: 25.3252 - logcount_predictions_loss: 0.2027 6/196 [..............................] - ETA: 55s - loss: 25.2411 - logits_profile_predictions_loss: 25.0447 - logcount_predictions_loss: 0.1963 7/196 [>.............................] - ETA: 55s - loss: 25.3303 - logits_profile_predictions_loss: 25.1346 - logcount_predictions_loss: 0.1957 8/196 [>.............................] - ETA: 55s - loss: 25.0478 - logits_profile_predictions_loss: 24.8535 - logcount_predictions_loss: 0.1943 9/196 [>.............................] - ETA: 55s - loss: 25.0554 - logits_profile_predictions_loss: 24.8676 - logcount_predictions_loss: 0.1878 10/196 [>.............................] - ETA: 54s - loss: 25.0661 - logits_profile_predictions_loss: 24.8792 - logcount_predictions_loss: 0.1870 11/196 [>.............................] - ETA: 54s - loss: 25.0256 - logits_profile_predictions_loss: 24.8415 - logcount_predictions_loss: 0.1841 12/196 [>.............................] - ETA: 54s - loss: 25.0693 - logits_profile_predictions_loss: 24.8861 - logcount_predictions_loss: 0.1832 13/196 [>.............................] - ETA: 53s - loss: 25.0217 - logits_profile_predictions_loss: 24.8399 - logcount_predictions_loss: 0.1818 14/196 [=>............................] - ETA: 53s - loss: 24.9644 - logits_profile_predictions_loss: 24.7806 - logcount_predictions_loss: 0.1838 15/196 [=>............................] - ETA: 53s - loss: 24.9504 - 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[============================>.] - ETA: 1s - loss: 24.9721 - logits_profile_predictions_loss: 24.7880 - logcount_predictions_loss: 0.1841 193/196 [============================>.] - ETA: 0s - loss: 24.9713 - logits_profile_predictions_loss: 24.7873 - logcount_predictions_loss: 0.1840 194/196 [============================>.] - ETA: 0s - loss: 24.9742 - logits_profile_predictions_loss: 24.7902 - logcount_predictions_loss: 0.1840 195/196 [============================>.] - ETA: 0s - loss: 24.9759 - logits_profile_predictions_loss: 24.7916 - logcount_predictions_loss: 0.1843 196/196 [==============================] - ETA: 0s - loss: 24.9838 - logits_profile_predictions_loss: 24.7994 - logcount_predictions_loss: 0.1843 Epoch 3: val_loss improved from 26.17728 to 26.12830, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.adipocyte.H/fold_4/models/chrombpnet.h5  196/196 [==============================] - 61s 309ms/step 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logits_profile_predictions_loss: 24.7420 - logcount_predictions_loss: 0.1792 Epoch 4: val_loss improved from 26.12830 to 26.09945, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.adipocyte.H/fold_4/models/chrombpnet.h5  196/196 [==============================] - 60s 309ms/step - loss: 24.9212 - logits_profile_predictions_loss: 24.7420 - logcount_predictions_loss: 0.1792 - val_loss: 26.0995 - val_logits_profile_predictions_loss: 25.9261 - val_logcount_predictions_loss: 0.1734 Epoch 5/50 1/196 [..............................] - ETA: 59s - loss: 21.7734 - logits_profile_predictions_loss: 21.6138 - logcount_predictions_loss: 0.1595 2/196 [..............................] - ETA: 56s - loss: 22.9629 - logits_profile_predictions_loss: 22.7943 - logcount_predictions_loss: 0.1686 3/196 [..............................] - ETA: 56s - loss: 23.9683 - logits_profile_predictions_loss: 23.7745 - logcount_predictions_loss: 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[=======>......................] - ETA: 40s - loss: 24.6010 - logits_profile_predictions_loss: 24.4185 - logcount_predictions_loss: 0.1826 59/196 [========>.....................] - ETA: 40s - loss: 24.6652 - logits_profile_predictions_loss: 24.4827 - logcount_predictions_loss: 0.1826 60/196 [========>.....................] - ETA: 40s - loss: 24.6787 - logits_profile_predictions_loss: 24.4973 - logcount_predictions_loss: 0.1814 61/196 [========>.....................] - ETA: 39s - loss: 24.6602 - logits_profile_predictions_loss: 24.4793 - logcount_predictions_loss: 0.1809 62/196 [========>.....................] - ETA: 39s - loss: 24.6804 - logits_profile_predictions_loss: 24.4995 - logcount_predictions_loss: 0.1809 63/196 [========>.....................] - ETA: 39s - loss: 24.6683 - logits_profile_predictions_loss: 24.4883 - logcount_predictions_loss: 0.1800 64/196 [========>.....................] - ETA: 38s - loss: 24.6495 - logits_profile_predictions_loss: 24.4703 - 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[================>.............] - ETA: 24s - loss: 24.5682 - logits_profile_predictions_loss: 24.3867 - logcount_predictions_loss: 0.1815 113/196 [================>.............] - ETA: 24s - loss: 24.5645 - logits_profile_predictions_loss: 24.3831 - logcount_predictions_loss: 0.1814 114/196 [================>.............] - ETA: 24s - loss: 24.5470 - logits_profile_predictions_loss: 24.3657 - logcount_predictions_loss: 0.1813 115/196 [================>.............] - ETA: 23s - loss: 24.5409 - logits_profile_predictions_loss: 24.3596 - logcount_predictions_loss: 0.1813 116/196 [================>.............] - ETA: 23s - loss: 24.5527 - logits_profile_predictions_loss: 24.3712 - logcount_predictions_loss: 0.1816 117/196 [================>.............] - ETA: 23s - loss: 24.5492 - logits_profile_predictions_loss: 24.3674 - logcount_predictions_loss: 0.1818 118/196 [=================>............] - ETA: 23s - loss: 24.5546 - logits_profile_predictions_loss: 24.3730 - 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[====================>.........] - ETA: 16s - loss: 24.5861 - logits_profile_predictions_loss: 24.4035 - logcount_predictions_loss: 0.1826 140/196 [====================>.........] - ETA: 16s - loss: 24.5872 - logits_profile_predictions_loss: 24.4047 - logcount_predictions_loss: 0.1825 141/196 [====================>.........] - ETA: 16s - loss: 24.5863 - logits_profile_predictions_loss: 24.4038 - logcount_predictions_loss: 0.1825 142/196 [====================>.........] - ETA: 15s - loss: 24.5960 - logits_profile_predictions_loss: 24.4133 - logcount_predictions_loss: 0.1827 144/196 [=====================>........] - ETA: 15s - loss: 24.6085 - logits_profile_predictions_loss: 24.4258 - logcount_predictions_loss: 0.1828 145/196 [=====================>........] - ETA: 14s - loss: 24.5980 - logits_profile_predictions_loss: 24.4156 - logcount_predictions_loss: 0.1825 146/196 [=====================>........] - ETA: 14s - loss: 24.6085 - logits_profile_predictions_loss: 24.4262 - 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- ETA: 10s - loss: 24.6433 - logits_profile_predictions_loss: 24.4598 - logcount_predictions_loss: 0.1835 161/196 [=======================>......] - ETA: 10s - loss: 24.6174 - logits_profile_predictions_loss: 24.4343 - logcount_predictions_loss: 0.1832 162/196 [=======================>......] - ETA: 9s - loss: 24.6133 - logits_profile_predictions_loss: 24.4301 - logcount_predictions_loss: 0.1833  163/196 [=======================>......] - ETA: 9s - loss: 24.6138 - logits_profile_predictions_loss: 24.4307 - logcount_predictions_loss: 0.1831 164/196 [========================>.....] - ETA: 9s - loss: 24.6147 - logits_profile_predictions_loss: 24.4317 - logcount_predictions_loss: 0.1831 165/196 [========================>.....] - ETA: 9s - loss: 24.6328 - logits_profile_predictions_loss: 24.4493 - logcount_predictions_loss: 0.1835 166/196 [========================>.....] - ETA: 8s - loss: 24.6240 - logits_profile_predictions_loss: 24.4409 - logcount_predictions_loss: 0.1832 167/196 [========================>.....] - ETA: 8s - loss: 24.6425 - logits_profile_predictions_loss: 24.4592 - logcount_predictions_loss: 0.1833 168/196 [========================>.....] - ETA: 8s - loss: 24.6464 - logits_profile_predictions_loss: 24.4634 - logcount_predictions_loss: 0.1830 169/196 [========================>.....] - ETA: 7s - loss: 24.6559 - logits_profile_predictions_loss: 24.4729 - logcount_predictions_loss: 0.1830 170/196 [=========================>....] - ETA: 7s - loss: 24.6505 - logits_profile_predictions_loss: 24.4676 - logcount_predictions_loss: 0.1830 171/196 [=========================>....] - ETA: 7s - loss: 24.6398 - logits_profile_predictions_loss: 24.4571 - logcount_predictions_loss: 0.1827 172/196 [=========================>....] - ETA: 7s - loss: 24.6398 - logits_profile_predictions_loss: 24.4576 - logcount_predictions_loss: 0.1823 173/196 [=========================>....] - ETA: 6s - loss: 24.6218 - logits_profile_predictions_loss: 24.4395 - 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[============================>.] - ETA: 0s - loss: 24.6350 - logits_profile_predictions_loss: 24.4506 - logcount_predictions_loss: 0.1844 195/196 [============================>.] - ETA: 0s - loss: 24.6464 - logits_profile_predictions_loss: 24.4615 - logcount_predictions_loss: 0.1850 196/196 [==============================] - ETA: 0s - loss: 24.6496 - logits_profile_predictions_loss: 24.4648 - logcount_predictions_loss: 0.1849 Epoch 5: val_loss did not improve from 26.09945  196/196 [==============================] - 60s 307ms/step - loss: 24.6496 - logits_profile_predictions_loss: 24.4648 - logcount_predictions_loss: 0.1849 - val_loss: 26.1484 - val_logits_profile_predictions_loss: 26.0078 - val_logcount_predictions_loss: 0.1406 Epoch 6/50 1/196 [..............................] - ETA: 59s - loss: 23.2619 - logits_profile_predictions_loss: 23.1377 - logcount_predictions_loss: 0.1242 2/196 [..............................] - ETA: 57s - loss: 23.3594 - logits_profile_predictions_loss: 23.2245 - logcount_predictions_loss: 0.1350 3/196 [..............................] - ETA: 56s - loss: 24.2841 - logits_profile_predictions_loss: 24.1269 - logcount_predictions_loss: 0.1572 4/196 [..............................] - ETA: 56s - loss: 24.9879 - logits_profile_predictions_loss: 24.8344 - logcount_predictions_loss: 0.1535 5/196 [..............................] - ETA: 56s - loss: 25.0450 - logits_profile_predictions_loss: 24.8943 - logcount_predictions_loss: 0.1507 6/196 [..............................] - ETA: 55s - loss: 24.9686 - logits_profile_predictions_loss: 24.8098 - logcount_predictions_loss: 0.1589 7/196 [>.............................] - ETA: 55s - loss: 25.1840 - logits_profile_predictions_loss: 25.0298 - logcount_predictions_loss: 0.1542 8/196 [>.............................] - ETA: 55s - loss: 25.1849 - logits_profile_predictions_loss: 25.0322 - logcount_predictions_loss: 0.1527 9/196 [>.............................] - ETA: 55s - loss: 25.3258 - logits_profile_predictions_loss: 25.1754 - logcount_predictions_loss: 0.1504 10/196 [>.............................] - ETA: 54s - loss: 25.2409 - logits_profile_predictions_loss: 25.0848 - logcount_predictions_loss: 0.1561 11/196 [>.............................] - ETA: 54s - loss: 25.1942 - logits_profile_predictions_loss: 25.0354 - logcount_predictions_loss: 0.1588 12/196 [>.............................] - ETA: 54s - loss: 25.1926 - logits_profile_predictions_loss: 25.0352 - logcount_predictions_loss: 0.1574 13/196 [>.............................] - ETA: 53s - loss: 25.1676 - logits_profile_predictions_loss: 25.0081 - logcount_predictions_loss: 0.1595 14/196 [=>............................] - ETA: 53s - loss: 25.2342 - logits_profile_predictions_loss: 25.0727 - logcount_predictions_loss: 0.1616 15/196 [=>............................] - ETA: 53s - loss: 25.1075 - logits_profile_predictions_loss: 24.9496 - logcount_predictions_loss: 0.1579 16/196 [=>............................] - ETA: 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4s - loss: 24.6849 - logits_profile_predictions_loss: 24.5094 - logcount_predictions_loss: 0.1755 180/196 [==========================>...] - ETA: 4s - loss: 24.6973 - logits_profile_predictions_loss: 24.5213 - logcount_predictions_loss: 0.1759 181/196 [==========================>...] - ETA: 4s - loss: 24.7085 - logits_profile_predictions_loss: 24.5320 - logcount_predictions_loss: 0.1765 182/196 [==========================>...] - ETA: 4s - loss: 24.7116 - logits_profile_predictions_loss: 24.5349 - logcount_predictions_loss: 0.1767 183/196 [===========================>..] - ETA: 3s - loss: 24.7181 - logits_profile_predictions_loss: 24.5413 - logcount_predictions_loss: 0.1767 184/196 [===========================>..] - ETA: 3s - loss: 24.7020 - logits_profile_predictions_loss: 24.5249 - logcount_predictions_loss: 0.1771 185/196 [===========================>..] - ETA: 3s - loss: 24.6901 - logits_profile_predictions_loss: 24.5128 - logcount_predictions_loss: 0.1773 186/196 [===========================>..] - ETA: 2s - loss: 24.7070 - logits_profile_predictions_loss: 24.5293 - logcount_predictions_loss: 0.1776 187/196 [===========================>..] - ETA: 2s - loss: 24.6987 - logits_profile_predictions_loss: 24.5209 - logcount_predictions_loss: 0.1778 188/196 [===========================>..] - ETA: 2s - loss: 24.6933 - logits_profile_predictions_loss: 24.5156 - logcount_predictions_loss: 0.1776 189/196 [===========================>..] - ETA: 2s - loss: 24.6779 - logits_profile_predictions_loss: 24.5004 - logcount_predictions_loss: 0.1775 190/196 [============================>.] - ETA: 1s - loss: 24.6816 - logits_profile_predictions_loss: 24.5036 - logcount_predictions_loss: 0.1781 191/196 [============================>.] - ETA: 1s - loss: 24.6750 - logits_profile_predictions_loss: 24.4967 - logcount_predictions_loss: 0.1782 192/196 [============================>.] - ETA: 1s - loss: 24.6880 - logits_profile_predictions_loss: 24.5092 - logcount_predictions_loss: 0.1787 193/196 [============================>.] - ETA: 0s - loss: 24.6855 - logits_profile_predictions_loss: 24.5066 - logcount_predictions_loss: 0.1789 194/196 [============================>.] - ETA: 0s - loss: 24.7013 - logits_profile_predictions_loss: 24.5218 - logcount_predictions_loss: 0.1794 195/196 [============================>.] - ETA: 0s - loss: 24.7093 - logits_profile_predictions_loss: 24.5292 - logcount_predictions_loss: 0.1801 196/196 [==============================] - ETA: 0s - loss: 24.7152 - logits_profile_predictions_loss: 24.5350 - logcount_predictions_loss: 0.1802 Epoch 6: val_loss did not improve from 26.09945  196/196 [==============================] - 60s 308ms/step - loss: 24.7152 - logits_profile_predictions_loss: 24.5350 - logcount_predictions_loss: 0.1802 - val_loss: 26.1798 - val_logits_profile_predictions_loss: 26.0260 - val_logcount_predictions_loss: 0.1538 Epoch 7/50 1/196 [..............................] - ETA: 59s - loss: 23.2816 - logits_profile_predictions_loss: 23.0432 - logcount_predictions_loss: 0.2384 2/196 [..............................] - ETA: 57s - loss: 23.2401 - logits_profile_predictions_loss: 23.0440 - logcount_predictions_loss: 0.1961 3/196 [..............................] - ETA: 56s - loss: 22.7709 - logits_profile_predictions_loss: 22.5789 - logcount_predictions_loss: 0.1919 4/196 [..............................] - ETA: 56s - loss: 23.8720 - logits_profile_predictions_loss: 23.6934 - logcount_predictions_loss: 0.1786 5/196 [..............................] - ETA: 56s - loss: 23.8433 - logits_profile_predictions_loss: 23.6672 - logcount_predictions_loss: 0.1760 6/196 [..............................] - ETA: 55s - loss: 24.2252 - logits_profile_predictions_loss: 24.0436 - logcount_predictions_loss: 0.1816 7/196 [>.............................] - ETA: 55s - loss: 24.4107 - logits_profile_predictions_loss: 24.2377 - logcount_predictions_loss: 0.1731 8/196 [>.............................] - ETA: 55s - loss: 24.3469 - logits_profile_predictions_loss: 24.1778 - logcount_predictions_loss: 0.1692 9/196 [>.............................] - ETA: 55s - loss: 24.2803 - logits_profile_predictions_loss: 24.1139 - logcount_predictions_loss: 0.1664 10/196 [>.............................] - ETA: 54s - loss: 24.2335 - logits_profile_predictions_loss: 24.0667 - logcount_predictions_loss: 0.1669 11/196 [>.............................] - ETA: 54s - loss: 24.5901 - logits_profile_predictions_loss: 24.4214 - logcount_predictions_loss: 0.1687 12/196 [>.............................] - ETA: 54s - loss: 24.5734 - logits_profile_predictions_loss: 24.4041 - logcount_predictions_loss: 0.1693 13/196 [>.............................] - ETA: 53s - loss: 24.6481 - logits_profile_predictions_loss: 24.4807 - logcount_predictions_loss: 0.1674 14/196 [=>............................] - ETA: 53s - loss: 24.7156 - logits_profile_predictions_loss: 24.5508 - logcount_predictions_loss: 0.1648 15/196 [=>............................] - ETA: 53s - loss: 24.4935 - logits_profile_predictions_loss: 24.3282 - logcount_predictions_loss: 0.1653 16/196 [=>............................] - ETA: 52s - loss: 24.4764 - logits_profile_predictions_loss: 24.3116 - logcount_predictions_loss: 0.1649 17/196 [=>............................] - ETA: 52s - loss: 24.4351 - logits_profile_predictions_loss: 24.2714 - logcount_predictions_loss: 0.1637 18/196 [=>............................] - ETA: 52s - loss: 24.3632 - logits_profile_predictions_loss: 24.2003 - logcount_predictions_loss: 0.1629 19/196 [=>............................] - ETA: 52s - loss: 24.4554 - logits_profile_predictions_loss: 24.2938 - logcount_predictions_loss: 0.1616 20/196 [==>...........................] - ETA: 51s - loss: 24.4472 - logits_profile_predictions_loss: 24.2856 - logcount_predictions_loss: 0.1616 21/196 [==>...........................] - ETA: 51s - loss: 24.2896 - logits_profile_predictions_loss: 24.1272 - logcount_predictions_loss: 0.1624 22/196 [==>...........................] - ETA: 51s - loss: 24.2390 - logits_profile_predictions_loss: 24.0782 - logcount_predictions_loss: 0.1608 23/196 [==>...........................] - ETA: 50s - loss: 24.2606 - logits_profile_predictions_loss: 24.0995 - logcount_predictions_loss: 0.1610 24/196 [==>...........................] - ETA: 50s - loss: 24.2702 - logits_profile_predictions_loss: 24.1095 - logcount_predictions_loss: 0.1607 25/196 [==>...........................] - ETA: 50s - loss: 24.3020 - logits_profile_predictions_loss: 24.1390 - logcount_predictions_loss: 0.1629 26/196 [==>...........................] - ETA: 50s - loss: 24.2876 - logits_profile_predictions_loss: 24.1232 - logcount_predictions_loss: 0.1644 27/196 [===>..........................] - ETA: 49s - loss: 24.2774 - logits_profile_predictions_loss: 24.1145 - logcount_predictions_loss: 0.1629 28/196 [===>..........................] - ETA: 49s - loss: 24.2255 - logits_profile_predictions_loss: 24.0613 - logcount_predictions_loss: 0.1642 29/196 [===>..........................] - ETA: 49s - loss: 24.2606 - logits_profile_predictions_loss: 24.0971 - logcount_predictions_loss: 0.1635 30/196 [===>..........................] - ETA: 48s - loss: 24.2558 - logits_profile_predictions_loss: 24.0932 - logcount_predictions_loss: 0.1625 31/196 [===>..........................] - ETA: 48s - loss: 24.2258 - logits_profile_predictions_loss: 24.0625 - logcount_predictions_loss: 0.1633 32/196 [===>..........................] - ETA: 48s - loss: 24.2127 - logits_profile_predictions_loss: 24.0499 - logcount_predictions_loss: 0.1628 33/196 [====>.........................] - ETA: 47s - loss: 24.1559 - logits_profile_predictions_loss: 23.9915 - logcount_predictions_loss: 0.1644 34/196 [====>.........................] - ETA: 47s - loss: 24.1548 - logits_profile_predictions_loss: 23.9917 - logcount_predictions_loss: 0.1631 35/196 [====>.........................] - ETA: 47s - loss: 24.1068 - logits_profile_predictions_loss: 23.9435 - logcount_predictions_loss: 0.1633 36/196 [====>.........................] - ETA: 47s - loss: 24.0238 - logits_profile_predictions_loss: 23.8586 - logcount_predictions_loss: 0.1652 37/196 [====>.........................] - ETA: 46s - loss: 24.0415 - logits_profile_predictions_loss: 23.8764 - logcount_predictions_loss: 0.1651 38/196 [====>.........................] - ETA: 46s - loss: 24.0161 - logits_profile_predictions_loss: 23.8504 - logcount_predictions_loss: 0.1657 39/196 [====>.........................] - ETA: 46s - loss: 23.9911 - logits_profile_predictions_loss: 23.8254 - logcount_predictions_loss: 0.1656 40/196 [=====>........................] - ETA: 45s - loss: 24.0039 - logits_profile_predictions_loss: 23.8369 - logcount_predictions_loss: 0.1670 41/196 [=====>........................] - ETA: 45s - loss: 23.9696 - logits_profile_predictions_loss: 23.8014 - logcount_predictions_loss: 0.1682 42/196 [=====>........................] - ETA: 45s - loss: 24.0606 - logits_profile_predictions_loss: 23.8907 - logcount_predictions_loss: 0.1699 43/196 [=====>........................] - ETA: 45s - loss: 24.0322 - logits_profile_predictions_loss: 23.8626 - logcount_predictions_loss: 0.1696 44/196 [=====>........................] - ETA: 44s - loss: 24.0444 - logits_profile_predictions_loss: 23.8744 - logcount_predictions_loss: 0.1700 45/196 [=====>........................] - ETA: 44s - loss: 24.0199 - logits_profile_predictions_loss: 23.8490 - logcount_predictions_loss: 0.1710 46/196 [======>.......................] - ETA: 44s - loss: 24.0267 - logits_profile_predictions_loss: 23.8556 - logcount_predictions_loss: 0.1711 47/196 [======>.......................] - ETA: 43s - loss: 23.9966 - logits_profile_predictions_loss: 23.8258 - logcount_predictions_loss: 0.1708 48/196 [======>.......................] - ETA: 43s - loss: 23.9660 - logits_profile_predictions_loss: 23.7949 - logcount_predictions_loss: 0.1711 49/196 [======>.......................] - ETA: 43s - loss: 23.9253 - logits_profile_predictions_loss: 23.7536 - logcount_predictions_loss: 0.1716 50/196 [======>.......................] - ETA: 42s - loss: 23.9284 - logits_profile_predictions_loss: 23.7568 - logcount_predictions_loss: 0.1715 51/196 [======>.......................] - ETA: 42s - loss: 24.0049 - logits_profile_predictions_loss: 23.8318 - logcount_predictions_loss: 0.1731 52/196 [======>.......................] - ETA: 42s - loss: 23.9701 - logits_profile_predictions_loss: 23.7980 - logcount_predictions_loss: 0.1721 53/196 [=======>......................] - ETA: 42s - loss: 23.9988 - logits_profile_predictions_loss: 23.8267 - logcount_predictions_loss: 0.1721 54/196 [=======>......................] - ETA: 41s - loss: 24.0223 - logits_profile_predictions_loss: 23.8507 - logcount_predictions_loss: 0.1716 55/196 [=======>......................] - ETA: 41s - loss: 23.9812 - logits_profile_predictions_loss: 23.8077 - logcount_predictions_loss: 0.1735 56/196 [=======>......................] - ETA: 41s - loss: 23.9792 - logits_profile_predictions_loss: 23.8034 - logcount_predictions_loss: 0.1758 57/196 [=======>......................] - ETA: 40s - loss: 23.9535 - logits_profile_predictions_loss: 23.7777 - logcount_predictions_loss: 0.1757 58/196 [=======>......................] - ETA: 40s - loss: 23.9442 - logits_profile_predictions_loss: 23.7680 - logcount_predictions_loss: 0.1762 59/196 [========>.....................] - ETA: 40s - loss: 23.9869 - logits_profile_predictions_loss: 23.8108 - logcount_predictions_loss: 0.1761 60/196 [========>.....................] - ETA: 40s - loss: 24.0264 - logits_profile_predictions_loss: 23.8501 - logcount_predictions_loss: 0.1762 61/196 [========>.....................] - ETA: 39s - loss: 23.9909 - logits_profile_predictions_loss: 23.8151 - logcount_predictions_loss: 0.1759 62/196 [========>.....................] - ETA: 39s - loss: 24.0013 - logits_profile_predictions_loss: 23.8252 - logcount_predictions_loss: 0.1761 63/196 [========>.....................] - ETA: 39s - loss: 23.9853 - logits_profile_predictions_loss: 23.8094 - logcount_predictions_loss: 0.1759 64/196 [========>.....................] - ETA: 38s - loss: 23.9938 - logits_profile_predictions_loss: 23.8185 - logcount_predictions_loss: 0.1753 65/196 [========>.....................] - ETA: 38s - loss: 23.9895 - logits_profile_predictions_loss: 23.8145 - logcount_predictions_loss: 0.1749 66/196 [=========>....................] - ETA: 38s - loss: 23.9987 - logits_profile_predictions_loss: 23.8243 - logcount_predictions_loss: 0.1744 67/196 [=========>....................] - ETA: 38s - loss: 24.0329 - logits_profile_predictions_loss: 23.8582 - logcount_predictions_loss: 0.1748 68/196 [=========>....................] - ETA: 37s - loss: 24.0243 - logits_profile_predictions_loss: 23.8502 - logcount_predictions_loss: 0.1741 69/196 [=========>....................] - ETA: 37s - loss: 24.1279 - logits_profile_predictions_loss: 23.9533 - logcount_predictions_loss: 0.1746 70/196 [=========>....................] - ETA: 37s - loss: 24.1510 - logits_profile_predictions_loss: 23.9773 - logcount_predictions_loss: 0.1737 71/196 [=========>....................] - ETA: 36s - loss: 24.1407 - logits_profile_predictions_loss: 23.9677 - logcount_predictions_loss: 0.1730 72/196 [==========>...................] - ETA: 36s - loss: 24.1355 - logits_profile_predictions_loss: 23.9625 - logcount_predictions_loss: 0.1729 73/196 [==========>...................] - ETA: 36s - loss: 24.1654 - logits_profile_predictions_loss: 23.9915 - logcount_predictions_loss: 0.1739 74/196 [==========>...................] - ETA: 36s - loss: 24.1878 - logits_profile_predictions_loss: 24.0143 - logcount_predictions_loss: 0.1735 75/196 [==========>...................] - ETA: 35s - loss: 24.2169 - logits_profile_predictions_loss: 24.0440 - logcount_predictions_loss: 0.1730 76/196 [==========>...................] - ETA: 35s - loss: 24.2300 - logits_profile_predictions_loss: 24.0566 - logcount_predictions_loss: 0.1733 77/196 [==========>...................] - ETA: 35s - loss: 24.2448 - logits_profile_predictions_loss: 24.0720 - logcount_predictions_loss: 0.1728 78/196 [==========>...................] - ETA: 34s - loss: 24.2595 - logits_profile_predictions_loss: 24.0868 - logcount_predictions_loss: 0.1727 79/196 [===========>..................] - ETA: 34s - loss: 24.2722 - logits_profile_predictions_loss: 24.0989 - logcount_predictions_loss: 0.1732 80/196 [===========>..................] - ETA: 34s - loss: 24.2721 - logits_profile_predictions_loss: 24.0989 - logcount_predictions_loss: 0.1732 81/196 [===========>..................] - ETA: 33s - loss: 24.2675 - logits_profile_predictions_loss: 24.0944 - logcount_predictions_loss: 0.1732 82/196 [===========>..................] - ETA: 33s - loss: 24.2421 - logits_profile_predictions_loss: 24.0694 - logcount_predictions_loss: 0.1727 83/196 [===========>..................] - ETA: 33s - loss: 24.2189 - logits_profile_predictions_loss: 24.0452 - logcount_predictions_loss: 0.1738 84/196 [===========>..................] - ETA: 33s - loss: 24.2214 - logits_profile_predictions_loss: 24.0481 - logcount_predictions_loss: 0.1733 85/196 [============>.................] - ETA: 32s - loss: 24.2178 - logits_profile_predictions_loss: 24.0445 - logcount_predictions_loss: 0.1733 86/196 [============>.................] - ETA: 32s - loss: 24.1908 - logits_profile_predictions_loss: 24.0178 - logcount_predictions_loss: 0.1730 87/196 [============>.................] - ETA: 32s - loss: 24.1870 - logits_profile_predictions_loss: 24.0143 - logcount_predictions_loss: 0.1727 88/196 [============>.................] - ETA: 31s - loss: 24.1577 - logits_profile_predictions_loss: 23.9855 - logcount_predictions_loss: 0.1722 89/196 [============>.................] - ETA: 31s - loss: 24.1573 - logits_profile_predictions_loss: 23.9854 - logcount_predictions_loss: 0.1719 90/196 [============>.................] - ETA: 31s - loss: 24.1615 - logits_profile_predictions_loss: 23.9896 - logcount_predictions_loss: 0.1719 91/196 [============>.................] - ETA: 30s - loss: 24.1629 - logits_profile_predictions_loss: 23.9907 - logcount_predictions_loss: 0.1722 92/196 [=============>................] - ETA: 30s - loss: 24.1563 - logits_profile_predictions_loss: 23.9840 - logcount_predictions_loss: 0.1723 93/196 [=============>................] - ETA: 30s - loss: 24.1532 - logits_profile_predictions_loss: 23.9814 - logcount_predictions_loss: 0.1718 94/196 [=============>................] - ETA: 30s - loss: 24.1524 - logits_profile_predictions_loss: 23.9797 - logcount_predictions_loss: 0.1727 95/196 [=============>................] - ETA: 29s - loss: 24.1278 - logits_profile_predictions_loss: 23.9555 - logcount_predictions_loss: 0.1723 96/196 [=============>................] - ETA: 29s - loss: 24.1144 - logits_profile_predictions_loss: 23.9416 - logcount_predictions_loss: 0.1728 97/196 [=============>................] - ETA: 29s - loss: 24.1407 - logits_profile_predictions_loss: 23.9677 - logcount_predictions_loss: 0.1730 98/196 [==============>...............] - ETA: 28s - loss: 24.1226 - logits_profile_predictions_loss: 23.9496 - logcount_predictions_loss: 0.1730 99/196 [==============>...............] - ETA: 28s - loss: 24.1342 - logits_profile_predictions_loss: 23.9609 - logcount_predictions_loss: 0.1733 100/196 [==============>...............] - ETA: 28s - loss: 24.1390 - logits_profile_predictions_loss: 23.9652 - logcount_predictions_loss: 0.1738 101/196 [==============>...............] - ETA: 28s - loss: 24.1656 - logits_profile_predictions_loss: 23.9912 - logcount_predictions_loss: 0.1744 102/196 [==============>...............] - ETA: 27s - loss: 24.1420 - logits_profile_predictions_loss: 23.9679 - logcount_predictions_loss: 0.1741 103/196 [==============>...............] - ETA: 27s - loss: 24.1289 - logits_profile_predictions_loss: 23.9553 - logcount_predictions_loss: 0.1737 104/196 [==============>...............] - ETA: 27s - loss: 24.1268 - logits_profile_predictions_loss: 23.9537 - logcount_predictions_loss: 0.1731 105/196 [===============>..............] - ETA: 26s - loss: 24.1435 - logits_profile_predictions_loss: 23.9704 - logcount_predictions_loss: 0.1730 106/196 [===============>..............] - ETA: 26s - loss: 24.1379 - logits_profile_predictions_loss: 23.9653 - logcount_predictions_loss: 0.1726 107/196 [===============>..............] - ETA: 26s - loss: 24.1135 - logits_profile_predictions_loss: 23.9411 - logcount_predictions_loss: 0.1724 108/196 [===============>..............] - ETA: 25s - loss: 24.1374 - logits_profile_predictions_loss: 23.9651 - logcount_predictions_loss: 0.1723 109/196 [===============>..............] - ETA: 25s - loss: 24.1474 - logits_profile_predictions_loss: 23.9755 - logcount_predictions_loss: 0.1719 110/196 [===============>..............] - ETA: 25s - loss: 24.1308 - logits_profile_predictions_loss: 23.9585 - logcount_predictions_loss: 0.1723 111/196 [===============>..............] - ETA: 25s - loss: 24.1313 - logits_profile_predictions_loss: 23.9589 - logcount_predictions_loss: 0.1723 112/196 [================>.............] - ETA: 24s - loss: 24.1156 - logits_profile_predictions_loss: 23.9433 - logcount_predictions_loss: 0.1723 113/196 [================>.............] - ETA: 24s - loss: 24.0899 - logits_profile_predictions_loss: 23.9176 - logcount_predictions_loss: 0.1723 114/196 [================>.............] - ETA: 24s - loss: 24.0937 - logits_profile_predictions_loss: 23.9217 - logcount_predictions_loss: 0.1719 115/196 [================>.............] - ETA: 23s - loss: 24.1155 - logits_profile_predictions_loss: 23.9432 - logcount_predictions_loss: 0.1723 116/196 [================>.............] - ETA: 23s - loss: 24.1161 - logits_profile_predictions_loss: 23.9436 - logcount_predictions_loss: 0.1725 117/196 [================>.............] - ETA: 23s - loss: 24.1075 - logits_profile_predictions_loss: 23.9352 - logcount_predictions_loss: 0.1723 118/196 [=================>............] - ETA: 23s - loss: 24.0880 - logits_profile_predictions_loss: 23.9163 - logcount_predictions_loss: 0.1717 119/196 [=================>............] - ETA: 22s - loss: 24.1028 - logits_profile_predictions_loss: 23.9307 - logcount_predictions_loss: 0.1721 120/196 [=================>............] - ETA: 22s - loss: 24.1147 - logits_profile_predictions_loss: 23.9428 - logcount_predictions_loss: 0.1719 121/196 [=================>............] - ETA: 22s - loss: 24.1141 - logits_profile_predictions_loss: 23.9421 - logcount_predictions_loss: 0.1720 122/196 [=================>............] - ETA: 21s - loss: 24.1102 - logits_profile_predictions_loss: 23.9381 - logcount_predictions_loss: 0.1721 123/196 [=================>............] - ETA: 21s - loss: 24.1147 - logits_profile_predictions_loss: 23.9426 - logcount_predictions_loss: 0.1721 124/196 [=================>............] - ETA: 21s - loss: 24.1106 - logits_profile_predictions_loss: 23.9382 - logcount_predictions_loss: 0.1724 125/196 [==================>...........] - ETA: 20s - loss: 24.0941 - logits_profile_predictions_loss: 23.9214 - logcount_predictions_loss: 0.1728 126/196 [==================>...........] - ETA: 20s - loss: 24.1050 - logits_profile_predictions_loss: 23.9318 - logcount_predictions_loss: 0.1732 127/196 [==================>...........] - ETA: 20s - loss: 24.0810 - logits_profile_predictions_loss: 23.9077 - logcount_predictions_loss: 0.1732 128/196 [==================>...........] - ETA: 20s - loss: 24.0969 - logits_profile_predictions_loss: 23.9235 - logcount_predictions_loss: 0.1734 129/196 [==================>...........] - ETA: 19s - loss: 24.1000 - logits_profile_predictions_loss: 23.9264 - logcount_predictions_loss: 0.1736 130/196 [==================>...........] - ETA: 19s - loss: 24.0868 - logits_profile_predictions_loss: 23.9133 - logcount_predictions_loss: 0.1736 131/196 [===================>..........] - ETA: 19s - loss: 24.0651 - logits_profile_predictions_loss: 23.8915 - logcount_predictions_loss: 0.1736 132/196 [===================>..........] - ETA: 18s - loss: 24.0712 - logits_profile_predictions_loss: 23.8973 - logcount_predictions_loss: 0.1740 133/196 [===================>..........] - ETA: 18s - loss: 24.0701 - logits_profile_predictions_loss: 23.8959 - logcount_predictions_loss: 0.1742 134/196 [===================>..........] - ETA: 18s - loss: 24.0792 - logits_profile_predictions_loss: 23.9046 - logcount_predictions_loss: 0.1745 135/196 [===================>..........] - ETA: 18s - loss: 24.0725 - logits_profile_predictions_loss: 23.8977 - logcount_predictions_loss: 0.1748 136/196 [===================>..........] - ETA: 17s - loss: 24.0914 - logits_profile_predictions_loss: 23.9171 - logcount_predictions_loss: 0.1743 137/196 [===================>..........] - ETA: 17s - loss: 24.0820 - logits_profile_predictions_loss: 23.9077 - logcount_predictions_loss: 0.1744 138/196 [====================>.........] - ETA: 17s - loss: 24.0843 - logits_profile_predictions_loss: 23.9101 - logcount_predictions_loss: 0.1743 139/196 [====================>.........] - ETA: 16s - loss: 24.0962 - logits_profile_predictions_loss: 23.9218 - logcount_predictions_loss: 0.1744 140/196 [====================>.........] - ETA: 16s - loss: 24.1091 - logits_profile_predictions_loss: 23.9354 - logcount_predictions_loss: 0.1737 141/196 [====================>.........] - ETA: 16s - loss: 24.1170 - logits_profile_predictions_loss: 23.9437 - logcount_predictions_loss: 0.1733 142/196 [====================>.........] - ETA: 15s - loss: 24.1051 - logits_profile_predictions_loss: 23.9318 - logcount_predictions_loss: 0.1733 143/196 [====================>.........] - ETA: 15s - loss: 24.1046 - logits_profile_predictions_loss: 23.9308 - logcount_predictions_loss: 0.1737 144/196 [=====================>........] - ETA: 15s - loss: 24.1074 - logits_profile_predictions_loss: 23.9339 - logcount_predictions_loss: 0.1735 145/196 [=====================>........] - ETA: 15s - loss: 24.1178 - logits_profile_predictions_loss: 23.9442 - logcount_predictions_loss: 0.1737 146/196 [=====================>........] - ETA: 14s - loss: 24.1346 - logits_profile_predictions_loss: 23.9607 - logcount_predictions_loss: 0.1740 147/196 [=====================>........] - ETA: 14s - loss: 24.1576 - logits_profile_predictions_loss: 23.9835 - logcount_predictions_loss: 0.1742 148/196 [=====================>........] - ETA: 14s - loss: 24.1869 - logits_profile_predictions_loss: 24.0123 - logcount_predictions_loss: 0.1746 149/196 [=====================>........] - ETA: 13s - loss: 24.1876 - logits_profile_predictions_loss: 24.0133 - logcount_predictions_loss: 0.1743 150/196 [=====================>........] - ETA: 13s - loss: 24.2042 - logits_profile_predictions_loss: 24.0301 - logcount_predictions_loss: 0.1741 151/196 [======================>.......] - ETA: 13s - loss: 24.1918 - logits_profile_predictions_loss: 24.0179 - logcount_predictions_loss: 0.1739 152/196 [======================>.......] - ETA: 12s - loss: 24.2023 - logits_profile_predictions_loss: 24.0280 - logcount_predictions_loss: 0.1743 153/196 [======================>.......] - ETA: 12s - loss: 24.1928 - logits_profile_predictions_loss: 24.0187 - logcount_predictions_loss: 0.1741 154/196 [======================>.......] - ETA: 12s - loss: 24.1748 - logits_profile_predictions_loss: 24.0010 - logcount_predictions_loss: 0.1738 155/196 [======================>.......] - ETA: 12s - loss: 24.1815 - logits_profile_predictions_loss: 24.0075 - logcount_predictions_loss: 0.1740 156/196 [======================>.......] - ETA: 11s - loss: 24.1766 - logits_profile_predictions_loss: 24.0022 - logcount_predictions_loss: 0.1744 157/196 [=======================>......] - ETA: 11s - loss: 24.1835 - logits_profile_predictions_loss: 24.0091 - logcount_predictions_loss: 0.1744 158/196 [=======================>......] - ETA: 11s - loss: 24.2282 - logits_profile_predictions_loss: 24.0535 - logcount_predictions_loss: 0.1747 159/196 [=======================>......] - ETA: 10s - loss: 24.2276 - logits_profile_predictions_loss: 24.0528 - logcount_predictions_loss: 0.1748 160/196 [=======================>......] - ETA: 10s - loss: 24.2353 - logits_profile_predictions_loss: 24.0606 - logcount_predictions_loss: 0.1747 161/196 [=======================>......] - ETA: 10s - loss: 24.2419 - logits_profile_predictions_loss: 24.0673 - logcount_predictions_loss: 0.1746 162/196 [=======================>......] - ETA: 10s - loss: 24.2409 - logits_profile_predictions_loss: 24.0664 - logcount_predictions_loss: 0.1745 163/196 [=======================>......] - ETA: 9s - loss: 24.2364 - logits_profile_predictions_loss: 24.0624 - logcount_predictions_loss: 0.1740  164/196 [========================>.....] - ETA: 9s - loss: 24.2320 - logits_profile_predictions_loss: 24.0580 - logcount_predictions_loss: 0.1739 165/196 [========================>.....] - ETA: 9s - loss: 24.2150 - logits_profile_predictions_loss: 24.0410 - logcount_predictions_loss: 0.1740 166/196 [========================>.....] - ETA: 8s - loss: 24.2078 - logits_profile_predictions_loss: 24.0340 - logcount_predictions_loss: 0.1739 167/196 [========================>.....] - ETA: 8s - loss: 24.2118 - logits_profile_predictions_loss: 24.0380 - logcount_predictions_loss: 0.1738 168/196 [========================>.....] - ETA: 8s - loss: 24.2211 - logits_profile_predictions_loss: 24.0473 - logcount_predictions_loss: 0.1738 169/196 [========================>.....] - ETA: 7s - loss: 24.2151 - logits_profile_predictions_loss: 24.0413 - logcount_predictions_loss: 0.1738 170/196 [=========================>....] - ETA: 7s - loss: 24.2248 - logits_profile_predictions_loss: 24.0510 - logcount_predictions_loss: 0.1738 171/196 [=========================>....] - ETA: 7s - loss: 24.2338 - logits_profile_predictions_loss: 24.0588 - logcount_predictions_loss: 0.1750 172/196 [=========================>....] - ETA: 7s - loss: 24.2272 - logits_profile_predictions_loss: 24.0522 - logcount_predictions_loss: 0.1750 173/196 [=========================>....] - ETA: 6s - loss: 24.2160 - logits_profile_predictions_loss: 24.0409 - logcount_predictions_loss: 0.1751 174/196 [=========================>....] - ETA: 6s - loss: 24.2328 - logits_profile_predictions_loss: 24.0576 - logcount_predictions_loss: 0.1752 175/196 [=========================>....] - ETA: 6s - loss: 24.2304 - logits_profile_predictions_loss: 24.0550 - logcount_predictions_loss: 0.1754 176/196 [=========================>....] - ETA: 5s - loss: 24.2396 - logits_profile_predictions_loss: 24.0638 - logcount_predictions_loss: 0.1759 177/196 [==========================>...] - ETA: 5s - loss: 24.2397 - logits_profile_predictions_loss: 24.0636 - logcount_predictions_loss: 0.1761 178/196 [==========================>...] - ETA: 5s - loss: 24.2520 - logits_profile_predictions_loss: 24.0757 - logcount_predictions_loss: 0.1764 179/196 [==========================>...] - ETA: 5s - loss: 24.2504 - logits_profile_predictions_loss: 24.0740 - logcount_predictions_loss: 0.1763 180/196 [==========================>...] - ETA: 4s - loss: 24.2554 - logits_profile_predictions_loss: 24.0788 - logcount_predictions_loss: 0.1766 181/196 [==========================>...] - ETA: 4s - loss: 24.2581 - logits_profile_predictions_loss: 24.0815 - logcount_predictions_loss: 0.1766 182/196 [==========================>...] - ETA: 4s - loss: 24.2548 - logits_profile_predictions_loss: 24.0784 - logcount_predictions_loss: 0.1764 183/196 [===========================>..] - ETA: 3s - loss: 24.2582 - logits_profile_predictions_loss: 24.0819 - logcount_predictions_loss: 0.1764 184/196 [===========================>..] - ETA: 3s - loss: 24.2716 - logits_profile_predictions_loss: 24.0953 - logcount_predictions_loss: 0.1763 185/196 [===========================>..] - ETA: 3s - loss: 24.2734 - logits_profile_predictions_loss: 24.0974 - logcount_predictions_loss: 0.1760 186/196 [===========================>..] - ETA: 2s - loss: 24.2814 - logits_profile_predictions_loss: 24.1057 - logcount_predictions_loss: 0.1757 188/196 [===========================>..] - ETA: 2s - loss: 24.2798 - logits_profile_predictions_loss: 24.1041 - logcount_predictions_loss: 0.1757 189/196 [===========================>..] - ETA: 2s - loss: 24.2681 - logits_profile_predictions_loss: 24.0924 - logcount_predictions_loss: 0.1757 190/196 [============================>.] - ETA: 1s - loss: 24.2624 - logits_profile_predictions_loss: 24.0867 - logcount_predictions_loss: 0.1757 191/196 [============================>.] - ETA: 1s - loss: 24.2661 - logits_profile_predictions_loss: 24.0902 - logcount_predictions_loss: 0.1759 192/196 [============================>.] - ETA: 1s - loss: 24.2825 - logits_profile_predictions_loss: 24.1064 - logcount_predictions_loss: 0.1761 193/196 [============================>.] - ETA: 0s - loss: 24.2775 - logits_profile_predictions_loss: 24.1013 - logcount_predictions_loss: 0.1761 194/196 [============================>.] - ETA: 0s - loss: 24.2742 - logits_profile_predictions_loss: 24.0979 - logcount_predictions_loss: 0.1764 195/196 [============================>.] - ETA: 0s - loss: 24.2713 - logits_profile_predictions_loss: 24.0951 - logcount_predictions_loss: 0.1763 196/196 [==============================] - ETA: 0s - loss: 24.2797 - logits_profile_predictions_loss: 24.1036 - logcount_predictions_loss: 0.1761 Epoch 7: val_loss did not improve from 26.09945  196/196 [==============================] - 60s 307ms/step - loss: 24.2797 - logits_profile_predictions_loss: 24.1036 - logcount_predictions_loss: 0.1761 - val_loss: 26.4760 - val_logits_profile_predictions_loss: 26.3383 - val_logcount_predictions_loss: 0.1377 Epoch 8/50 1/196 [..............................] - ETA: 1:00 - loss: 26.1266 - logits_profile_predictions_loss: 26.0032 - logcount_predictions_loss: 0.1234 2/196 [..............................] - ETA: 57s - loss: 24.2315 - logits_profile_predictions_loss: 24.1144 - logcount_predictions_loss: 0.1171  3/196 [..............................] - ETA: 56s - loss: 24.7361 - logits_profile_predictions_loss: 24.6002 - logcount_predictions_loss: 0.1360 4/196 [..............................] - ETA: 56s - loss: 25.2107 - logits_profile_predictions_loss: 25.0430 - logcount_predictions_loss: 0.1677 5/196 [..............................] - ETA: 56s - loss: 24.8225 - logits_profile_predictions_loss: 24.6474 - logcount_predictions_loss: 0.1751 6/196 [..............................] - ETA: 55s - loss: 25.1649 - logits_profile_predictions_loss: 24.9842 - logcount_predictions_loss: 0.1807 7/196 [>.............................] - ETA: 55s - loss: 24.7552 - logits_profile_predictions_loss: 24.5722 - logcount_predictions_loss: 0.1829 8/196 [>.............................] - ETA: 55s - loss: 24.7596 - logits_profile_predictions_loss: 24.5814 - logcount_predictions_loss: 0.1783 9/196 [>.............................] - ETA: 55s - loss: 24.3505 - logits_profile_predictions_loss: 24.1713 - logcount_predictions_loss: 0.1793 10/196 [>.............................] - ETA: 54s - loss: 24.3039 - logits_profile_predictions_loss: 24.1263 - logcount_predictions_loss: 0.1776 11/196 [>.............................] - ETA: 54s - loss: 24.1354 - logits_profile_predictions_loss: 23.9587 - logcount_predictions_loss: 0.1766 12/196 [>.............................] - ETA: 54s - loss: 24.0885 - logits_profile_predictions_loss: 23.9115 - logcount_predictions_loss: 0.1771 13/196 [>.............................] - ETA: 53s - loss: 23.9013 - logits_profile_predictions_loss: 23.7230 - logcount_predictions_loss: 0.1783 14/196 [=>............................] - ETA: 53s - loss: 24.0395 - logits_profile_predictions_loss: 23.8630 - logcount_predictions_loss: 0.1765 15/196 [=>............................] - ETA: 53s - loss: 23.8515 - logits_profile_predictions_loss: 23.6771 - logcount_predictions_loss: 0.1745 16/196 [=>............................] - ETA: 53s - loss: 23.8810 - logits_profile_predictions_loss: 23.7075 - logcount_predictions_loss: 0.1735 17/196 [=>............................] - ETA: 52s - loss: 23.9103 - logits_profile_predictions_loss: 23.7355 - logcount_predictions_loss: 0.1748 18/196 [=>............................] - ETA: 52s - loss: 24.0141 - logits_profile_predictions_loss: 23.8434 - logcount_predictions_loss: 0.1707 19/196 [=>............................] - ETA: 52s - loss: 24.0444 - logits_profile_predictions_loss: 23.8731 - logcount_predictions_loss: 0.1713 20/196 [==>...........................] - ETA: 51s - loss: 23.9785 - logits_profile_predictions_loss: 23.8087 - logcount_predictions_loss: 0.1697 21/196 [==>...........................] - ETA: 51s - loss: 23.8980 - logits_profile_predictions_loss: 23.7282 - logcount_predictions_loss: 0.1698 22/196 [==>...........................] - ETA: 51s - loss: 23.9148 - logits_profile_predictions_loss: 23.7468 - logcount_predictions_loss: 0.1680 23/196 [==>...........................] - ETA: 51s - loss: 23.8986 - logits_profile_predictions_loss: 23.7325 - logcount_predictions_loss: 0.1661 24/196 [==>...........................] - ETA: 50s - loss: 23.9399 - logits_profile_predictions_loss: 23.7761 - logcount_predictions_loss: 0.1638 25/196 [==>...........................] - ETA: 50s - loss: 23.9913 - logits_profile_predictions_loss: 23.8287 - logcount_predictions_loss: 0.1626 26/196 [==>...........................] - ETA: 50s - loss: 24.0153 - logits_profile_predictions_loss: 23.8522 - logcount_predictions_loss: 0.1630 27/196 [===>..........................] - ETA: 49s - loss: 24.0436 - logits_profile_predictions_loss: 23.8799 - logcount_predictions_loss: 0.1637 28/196 [===>..........................] - ETA: 49s - loss: 24.0504 - logits_profile_predictions_loss: 23.8856 - logcount_predictions_loss: 0.1647 29/196 [===>..........................] - ETA: 49s - loss: 24.0622 - logits_profile_predictions_loss: 23.8965 - logcount_predictions_loss: 0.1657 30/196 [===>..........................] - ETA: 48s - loss: 24.1465 - logits_profile_predictions_loss: 23.9774 - logcount_predictions_loss: 0.1691 31/196 [===>..........................] - ETA: 48s - loss: 24.1710 - logits_profile_predictions_loss: 24.0003 - logcount_predictions_loss: 0.1707 32/196 [===>..........................] - ETA: 48s - loss: 24.2064 - logits_profile_predictions_loss: 24.0365 - logcount_predictions_loss: 0.1699 33/196 [====>.........................] - ETA: 48s - loss: 24.1851 - logits_profile_predictions_loss: 24.0182 - logcount_predictions_loss: 0.1670 34/196 [====>.........................] - ETA: 47s - loss: 24.1646 - logits_profile_predictions_loss: 23.9975 - logcount_predictions_loss: 0.1671 35/196 [====>.........................] - ETA: 47s - loss: 24.1782 - logits_profile_predictions_loss: 24.0119 - logcount_predictions_loss: 0.1662 36/196 [====>.........................] - ETA: 47s - loss: 24.1716 - logits_profile_predictions_loss: 24.0051 - logcount_predictions_loss: 0.1665 37/196 [====>.........................] - ETA: 47s - loss: 24.1397 - logits_profile_predictions_loss: 23.9735 - logcount_predictions_loss: 0.1662 38/196 [====>.........................] - ETA: 46s - loss: 24.1147 - logits_profile_predictions_loss: 23.9490 - logcount_predictions_loss: 0.1657 39/196 [====>.........................] - ETA: 46s - loss: 24.0675 - logits_profile_predictions_loss: 23.9004 - logcount_predictions_loss: 0.1670 40/196 [=====>........................] - ETA: 46s - loss: 24.0553 - logits_profile_predictions_loss: 23.8885 - logcount_predictions_loss: 0.1668 41/196 [=====>........................] - ETA: 45s - loss: 24.0775 - logits_profile_predictions_loss: 23.9105 - logcount_predictions_loss: 0.1670 42/196 [=====>........................] - ETA: 45s - loss: 24.1283 - logits_profile_predictions_loss: 23.9593 - logcount_predictions_loss: 0.1691 43/196 [=====>........................] - ETA: 45s - loss: 24.1240 - logits_profile_predictions_loss: 23.9546 - logcount_predictions_loss: 0.1694 44/196 [=====>........................] - ETA: 44s - loss: 24.0842 - logits_profile_predictions_loss: 23.9136 - logcount_predictions_loss: 0.1706 45/196 [=====>........................] - ETA: 44s - loss: 24.0437 - logits_profile_predictions_loss: 23.8728 - logcount_predictions_loss: 0.1710 46/196 [======>.......................] - ETA: 44s - loss: 24.0654 - logits_profile_predictions_loss: 23.8943 - logcount_predictions_loss: 0.1712 47/196 [======>.......................] - ETA: 44s - loss: 24.0562 - logits_profile_predictions_loss: 23.8852 - logcount_predictions_loss: 0.1709 48/196 [======>.......................] - ETA: 43s - loss: 24.0570 - logits_profile_predictions_loss: 23.8844 - logcount_predictions_loss: 0.1726 49/196 [======>.......................] - ETA: 43s - loss: 24.0785 - logits_profile_predictions_loss: 23.9035 - logcount_predictions_loss: 0.1750 50/196 [======>.......................] - ETA: 43s - loss: 24.0663 - logits_profile_predictions_loss: 23.8916 - logcount_predictions_loss: 0.1747 51/196 [======>.......................] - ETA: 42s - loss: 24.0940 - logits_profile_predictions_loss: 23.9180 - logcount_predictions_loss: 0.1760 52/196 [======>.......................] - ETA: 42s - loss: 24.0917 - logits_profile_predictions_loss: 23.9137 - logcount_predictions_loss: 0.1781 53/196 [=======>......................] - ETA: 42s - loss: 24.0484 - logits_profile_predictions_loss: 23.8715 - logcount_predictions_loss: 0.1769 54/196 [=======>......................] - ETA: 42s - loss: 24.0273 - logits_profile_predictions_loss: 23.8508 - logcount_predictions_loss: 0.1765 55/196 [=======>......................] - ETA: 41s - loss: 23.9869 - logits_profile_predictions_loss: 23.8089 - logcount_predictions_loss: 0.1780 56/196 [=======>......................] - ETA: 41s - loss: 23.9673 - logits_profile_predictions_loss: 23.7894 - logcount_predictions_loss: 0.1779 57/196 [=======>......................] - ETA: 41s - loss: 23.9701 - logits_profile_predictions_loss: 23.7933 - logcount_predictions_loss: 0.1768 58/196 [=======>......................] - ETA: 40s - loss: 23.9584 - logits_profile_predictions_loss: 23.7827 - logcount_predictions_loss: 0.1758 59/196 [========>.....................] - ETA: 40s - loss: 23.9245 - logits_profile_predictions_loss: 23.7495 - logcount_predictions_loss: 0.1749 60/196 [========>.....................] - ETA: 40s - loss: 23.9154 - logits_profile_predictions_loss: 23.7407 - logcount_predictions_loss: 0.1746 61/196 [========>.....................] - ETA: 39s - loss: 23.9533 - logits_profile_predictions_loss: 23.7783 - logcount_predictions_loss: 0.1750 62/196 [========>.....................] - ETA: 39s - loss: 23.9531 - logits_profile_predictions_loss: 23.7788 - logcount_predictions_loss: 0.1743 63/196 [========>.....................] - ETA: 39s - loss: 23.9431 - logits_profile_predictions_loss: 23.7686 - logcount_predictions_loss: 0.1745 64/196 [========>.....................] - ETA: 39s - loss: 23.9033 - logits_profile_predictions_loss: 23.7287 - logcount_predictions_loss: 0.1746 65/196 [========>.....................] - ETA: 38s - loss: 23.8346 - logits_profile_predictions_loss: 23.6599 - logcount_predictions_loss: 0.1747 66/196 [=========>....................] - ETA: 38s - loss: 23.8176 - logits_profile_predictions_loss: 23.6430 - logcount_predictions_loss: 0.1746 67/196 [=========>....................] - ETA: 38s - loss: 23.8098 - 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[===============>..............] - ETA: 26s - loss: 23.9421 - logits_profile_predictions_loss: 23.7722 - logcount_predictions_loss: 0.1699 109/196 [===============>..............] - ETA: 25s - loss: 23.9241 - logits_profile_predictions_loss: 23.7544 - logcount_predictions_loss: 0.1698 110/196 [===============>..............] - ETA: 25s - loss: 23.9277 - logits_profile_predictions_loss: 23.7580 - logcount_predictions_loss: 0.1697 111/196 [===============>..............] - ETA: 25s - loss: 23.9071 - logits_profile_predictions_loss: 23.7375 - logcount_predictions_loss: 0.1696 112/196 [================>.............] - ETA: 24s - loss: 23.9001 - logits_profile_predictions_loss: 23.7300 - logcount_predictions_loss: 0.1701 113/196 [================>.............] - ETA: 24s - loss: 23.8985 - logits_profile_predictions_loss: 23.7287 - logcount_predictions_loss: 0.1698 114/196 [================>.............] - ETA: 24s - loss: 23.8964 - logits_profile_predictions_loss: 23.7268 - logcount_predictions_loss: 0.1696 115/196 [================>.............] - ETA: 23s - loss: 23.8856 - logits_profile_predictions_loss: 23.7163 - logcount_predictions_loss: 0.1693 116/196 [================>.............] - ETA: 23s - loss: 23.8715 - logits_profile_predictions_loss: 23.7026 - logcount_predictions_loss: 0.1688 117/196 [================>.............] - ETA: 23s - loss: 23.8833 - logits_profile_predictions_loss: 23.7145 - logcount_predictions_loss: 0.1687 118/196 [=================>............] - ETA: 23s - loss: 23.8821 - logits_profile_predictions_loss: 23.7135 - logcount_predictions_loss: 0.1686 119/196 [=================>............] - ETA: 22s - loss: 23.8804 - logits_profile_predictions_loss: 23.7120 - logcount_predictions_loss: 0.1684 120/196 [=================>............] - ETA: 22s - loss: 23.8912 - logits_profile_predictions_loss: 23.7228 - logcount_predictions_loss: 0.1684 121/196 [=================>............] - ETA: 22s - loss: 23.8801 - logits_profile_predictions_loss: 23.7116 - logcount_predictions_loss: 0.1685 122/196 [=================>............] - ETA: 21s - loss: 23.8986 - logits_profile_predictions_loss: 23.7300 - logcount_predictions_loss: 0.1685 123/196 [=================>............] - ETA: 21s - loss: 23.8993 - logits_profile_predictions_loss: 23.7309 - logcount_predictions_loss: 0.1684 124/196 [=================>............] - ETA: 21s - loss: 23.9170 - logits_profile_predictions_loss: 23.7488 - logcount_predictions_loss: 0.1682 125/196 [==================>...........] - ETA: 20s - loss: 23.9158 - logits_profile_predictions_loss: 23.7479 - logcount_predictions_loss: 0.1679 126/196 [==================>...........] - ETA: 20s - loss: 23.9027 - logits_profile_predictions_loss: 23.7344 - logcount_predictions_loss: 0.1682 127/196 [==================>...........] - ETA: 20s - loss: 23.9198 - logits_profile_predictions_loss: 23.7515 - logcount_predictions_loss: 0.1683 128/196 [==================>...........] - ETA: 20s - loss: 23.9008 - logits_profile_predictions_loss: 23.7326 - logcount_predictions_loss: 0.1681 129/196 [==================>...........] - ETA: 19s - loss: 23.9034 - logits_profile_predictions_loss: 23.7351 - logcount_predictions_loss: 0.1682 130/196 [==================>...........] - ETA: 19s - loss: 23.9027 - logits_profile_predictions_loss: 23.7339 - logcount_predictions_loss: 0.1688 131/196 [===================>..........] - ETA: 19s - loss: 23.9062 - logits_profile_predictions_loss: 23.7376 - logcount_predictions_loss: 0.1686 132/196 [===================>..........] - ETA: 18s - loss: 23.9158 - logits_profile_predictions_loss: 23.7474 - logcount_predictions_loss: 0.1684 133/196 [===================>..........] - ETA: 18s - loss: 23.9302 - logits_profile_predictions_loss: 23.7622 - logcount_predictions_loss: 0.1681 134/196 [===================>..........] - ETA: 18s - loss: 23.9462 - logits_profile_predictions_loss: 23.7780 - logcount_predictions_loss: 0.1682 135/196 [===================>..........] - ETA: 18s - loss: 23.9604 - logits_profile_predictions_loss: 23.7922 - logcount_predictions_loss: 0.1683 136/196 [===================>..........] - ETA: 17s - loss: 23.9636 - logits_profile_predictions_loss: 23.7953 - logcount_predictions_loss: 0.1683 137/196 [===================>..........] - ETA: 17s - loss: 23.9626 - logits_profile_predictions_loss: 23.7946 - logcount_predictions_loss: 0.1681 138/196 [====================>.........] - ETA: 17s - loss: 23.9826 - logits_profile_predictions_loss: 23.8143 - logcount_predictions_loss: 0.1683 139/196 [====================>.........] - ETA: 16s - loss: 23.9974 - logits_profile_predictions_loss: 23.8290 - logcount_predictions_loss: 0.1684 140/196 [====================>.........] - ETA: 16s - loss: 23.9883 - logits_profile_predictions_loss: 23.8194 - logcount_predictions_loss: 0.1689 141/196 [====================>.........] - ETA: 16s - loss: 23.9773 - logits_profile_predictions_loss: 23.8085 - logcount_predictions_loss: 0.1689 142/196 [====================>.........] - ETA: 15s - loss: 23.9762 - logits_profile_predictions_loss: 23.8074 - logcount_predictions_loss: 0.1688 143/196 [====================>.........] - ETA: 15s - loss: 23.9654 - logits_profile_predictions_loss: 23.7969 - logcount_predictions_loss: 0.1685 144/196 [=====================>........] - ETA: 15s - loss: 23.9735 - logits_profile_predictions_loss: 23.8052 - logcount_predictions_loss: 0.1683 145/196 [=====================>........] - ETA: 15s - loss: 23.9745 - logits_profile_predictions_loss: 23.8064 - logcount_predictions_loss: 0.1681 146/196 [=====================>........] - ETA: 14s - loss: 23.9871 - logits_profile_predictions_loss: 23.8191 - logcount_predictions_loss: 0.1681 147/196 [=====================>........] - ETA: 14s - loss: 23.9955 - logits_profile_predictions_loss: 23.8275 - logcount_predictions_loss: 0.1680 148/196 [=====================>........] - ETA: 14s - loss: 23.9807 - logits_profile_predictions_loss: 23.8124 - logcount_predictions_loss: 0.1682 149/196 [=====================>........] - ETA: 13s - loss: 23.9875 - logits_profile_predictions_loss: 23.8190 - logcount_predictions_loss: 0.1684 150/196 [=====================>........] - ETA: 13s - loss: 23.9988 - logits_profile_predictions_loss: 23.8301 - logcount_predictions_loss: 0.1686 151/196 [======================>.......] - ETA: 13s - loss: 23.9959 - logits_profile_predictions_loss: 23.8270 - logcount_predictions_loss: 0.1689 152/196 [======================>.......] - ETA: 13s - loss: 23.9839 - logits_profile_predictions_loss: 23.8156 - logcount_predictions_loss: 0.1683 153/196 [======================>.......] - ETA: 12s - loss: 24.0048 - logits_profile_predictions_loss: 23.8361 - logcount_predictions_loss: 0.1686 154/196 [======================>.......] - ETA: 12s - loss: 24.0123 - logits_profile_predictions_loss: 23.8435 - logcount_predictions_loss: 0.1688 155/196 [======================>.......] - ETA: 12s - loss: 24.0108 - logits_profile_predictions_loss: 23.8421 - logcount_predictions_loss: 0.1687 156/196 [======================>.......] - ETA: 11s - loss: 24.0130 - logits_profile_predictions_loss: 23.8443 - logcount_predictions_loss: 0.1687 157/196 [=======================>......] - ETA: 11s - loss: 24.0147 - logits_profile_predictions_loss: 23.8461 - logcount_predictions_loss: 0.1686 158/196 [=======================>......] - ETA: 11s - loss: 24.0113 - logits_profile_predictions_loss: 23.8427 - logcount_predictions_loss: 0.1686 159/196 [=======================>......] - ETA: 10s - loss: 24.0120 - logits_profile_predictions_loss: 23.8436 - logcount_predictions_loss: 0.1684 160/196 [=======================>......] - ETA: 10s - loss: 24.0070 - logits_profile_predictions_loss: 23.8386 - logcount_predictions_loss: 0.1684 161/196 [=======================>......] - ETA: 10s - loss: 23.9971 - logits_profile_predictions_loss: 23.8283 - logcount_predictions_loss: 0.1688 162/196 [=======================>......] - ETA: 10s - loss: 23.9981 - logits_profile_predictions_loss: 23.8296 - logcount_predictions_loss: 0.1685 163/196 [=======================>......] - ETA: 9s - loss: 23.9949 - logits_profile_predictions_loss: 23.8267 - logcount_predictions_loss: 0.1682  164/196 [========================>.....] - ETA: 9s - loss: 23.9994 - logits_profile_predictions_loss: 23.8309 - logcount_predictions_loss: 0.1685 165/196 [========================>.....] - ETA: 9s - loss: 24.0094 - logits_profile_predictions_loss: 23.8406 - logcount_predictions_loss: 0.1687 166/196 [========================>.....] - ETA: 8s - loss: 24.0112 - logits_profile_predictions_loss: 23.8422 - logcount_predictions_loss: 0.1690 167/196 [========================>.....] - ETA: 8s - loss: 24.0246 - logits_profile_predictions_loss: 23.8557 - logcount_predictions_loss: 0.1688 168/196 [========================>.....] - ETA: 8s - loss: 24.0192 - logits_profile_predictions_loss: 23.8507 - logcount_predictions_loss: 0.1685 170/196 [=========================>....] - ETA: 7s - loss: 24.0041 - logits_profile_predictions_loss: 23.8357 - logcount_predictions_loss: 0.1684 171/196 [=========================>....] - ETA: 7s - loss: 23.9952 - logits_profile_predictions_loss: 23.8268 - logcount_predictions_loss: 0.1684 172/196 [=========================>....] - ETA: 7s - loss: 23.9922 - logits_profile_predictions_loss: 23.8236 - logcount_predictions_loss: 0.1685 173/196 [=========================>....] - ETA: 6s - loss: 24.0120 - logits_profile_predictions_loss: 23.8431 - logcount_predictions_loss: 0.1689 174/196 [=========================>....] - ETA: 6s - loss: 24.0237 - logits_profile_predictions_loss: 23.8548 - logcount_predictions_loss: 0.1689 175/196 [=========================>....] - ETA: 6s - loss: 24.0107 - logits_profile_predictions_loss: 23.8413 - logcount_predictions_loss: 0.1694 176/196 [=========================>....] - ETA: 5s - loss: 24.0087 - logits_profile_predictions_loss: 23.8393 - logcount_predictions_loss: 0.1695 177/196 [==========================>...] - ETA: 5s - loss: 24.0132 - logits_profile_predictions_loss: 23.8437 - logcount_predictions_loss: 0.1695 178/196 [==========================>...] - ETA: 5s - loss: 24.0199 - logits_profile_predictions_loss: 23.8504 - logcount_predictions_loss: 0.1695 179/196 [==========================>...] - ETA: 5s - loss: 24.0193 - logits_profile_predictions_loss: 23.8501 - logcount_predictions_loss: 0.1692 180/196 [==========================>...] - ETA: 4s - loss: 24.0212 - logits_profile_predictions_loss: 23.8521 - logcount_predictions_loss: 0.1691 181/196 [==========================>...] - ETA: 4s - loss: 24.0279 - logits_profile_predictions_loss: 23.8590 - logcount_predictions_loss: 0.1689 182/196 [==========================>...] - ETA: 4s - loss: 24.0337 - logits_profile_predictions_loss: 23.8647 - logcount_predictions_loss: 0.1690 183/196 [===========================>..] - ETA: 3s - loss: 24.0366 - logits_profile_predictions_loss: 23.8675 - logcount_predictions_loss: 0.1691 184/196 [===========================>..] - ETA: 3s - loss: 24.0330 - logits_profile_predictions_loss: 23.8640 - logcount_predictions_loss: 0.1690 185/196 [===========================>..] - ETA: 3s - loss: 24.0392 - logits_profile_predictions_loss: 23.8704 - logcount_predictions_loss: 0.1688 186/196 [===========================>..] - ETA: 2s - loss: 24.0475 - logits_profile_predictions_loss: 23.8788 - logcount_predictions_loss: 0.1688 187/196 [===========================>..] - ETA: 2s - loss: 24.0551 - logits_profile_predictions_loss: 23.8863 - logcount_predictions_loss: 0.1689 188/196 [===========================>..] - ETA: 2s - loss: 24.0588 - logits_profile_predictions_loss: 23.8899 - logcount_predictions_loss: 0.1689 189/196 [===========================>..] - ETA: 2s - loss: 24.0705 - logits_profile_predictions_loss: 23.9017 - logcount_predictions_loss: 0.1688 190/196 [============================>.] - ETA: 1s - loss: 24.0804 - logits_profile_predictions_loss: 23.9117 - logcount_predictions_loss: 0.1687 191/196 [============================>.] - ETA: 1s - loss: 24.0830 - logits_profile_predictions_loss: 23.9141 - logcount_predictions_loss: 0.1689 192/196 [============================>.] - ETA: 1s - loss: 24.0767 - logits_profile_predictions_loss: 23.9076 - logcount_predictions_loss: 0.1691 193/196 [============================>.] - ETA: 0s - loss: 24.0780 - logits_profile_predictions_loss: 23.9085 - logcount_predictions_loss: 0.1695 194/196 [============================>.] - ETA: 0s - loss: 24.0704 - logits_profile_predictions_loss: 23.9008 - logcount_predictions_loss: 0.1696 195/196 [============================>.] - ETA: 0s - loss: 24.0714 - logits_profile_predictions_loss: 23.9019 - logcount_predictions_loss: 0.1695 196/196 [==============================] - ETA: 0s - loss: 24.0821 - logits_profile_predictions_loss: 23.9125 - logcount_predictions_loss: 0.1696 Epoch 8: val_loss did not improve from 26.09945  196/196 [==============================] - 60s 308ms/step - loss: 24.0821 - logits_profile_predictions_loss: 23.9125 - logcount_predictions_loss: 0.1696 - val_loss: 26.4988 - val_logits_profile_predictions_loss: 26.3520 - val_logcount_predictions_loss: 0.1468 Epoch 9/50 1/196 [..............................] - ETA: 1:00 - loss: 22.6675 - logits_profile_predictions_loss: 22.5022 - logcount_predictions_loss: 0.1654 2/196 [..............................] - ETA: 57s - loss: 22.7125 - logits_profile_predictions_loss: 22.5429 - logcount_predictions_loss: 0.1696  3/196 [..............................] - ETA: 56s - loss: 23.1726 - logits_profile_predictions_loss: 22.9919 - logcount_predictions_loss: 0.1807 4/196 [..............................] - ETA: 56s - loss: 23.8787 - logits_profile_predictions_loss: 23.6707 - logcount_predictions_loss: 0.2080 5/196 [..............................] - ETA: 56s - loss: 24.1239 - logits_profile_predictions_loss: 23.9257 - logcount_predictions_loss: 0.1981 6/196 [..............................] - ETA: 56s - loss: 23.9893 - logits_profile_predictions_loss: 23.7911 - logcount_predictions_loss: 0.1982 7/196 [>.............................] - ETA: 55s - loss: 23.7417 - logits_profile_predictions_loss: 23.5366 - logcount_predictions_loss: 0.2052 8/196 [>.............................] - ETA: 55s - loss: 24.0619 - logits_profile_predictions_loss: 23.8612 - logcount_predictions_loss: 0.2007 9/196 [>.............................] - ETA: 55s - loss: 24.0551 - logits_profile_predictions_loss: 23.8608 - logcount_predictions_loss: 0.1943 10/196 [>.............................] - ETA: 54s - loss: 24.1431 - logits_profile_predictions_loss: 23.9517 - logcount_predictions_loss: 0.1914 11/196 [>.............................] - ETA: 54s - loss: 24.1263 - logits_profile_predictions_loss: 23.9400 - logcount_predictions_loss: 0.1863 12/196 [>.............................] - ETA: 54s - loss: 24.1811 - logits_profile_predictions_loss: 23.9969 - logcount_predictions_loss: 0.1842 13/196 [>.............................] - ETA: 53s - loss: 24.2971 - logits_profile_predictions_loss: 24.1112 - logcount_predictions_loss: 0.1860 14/196 [=>............................] - ETA: 53s - loss: 24.4227 - logits_profile_predictions_loss: 24.2363 - logcount_predictions_loss: 0.1864 15/196 [=>............................] - ETA: 53s - loss: 24.3585 - logits_profile_predictions_loss: 24.1727 - logcount_predictions_loss: 0.1858 16/196 [=>............................] - ETA: 53s - loss: 24.3013 - logits_profile_predictions_loss: 24.1151 - logcount_predictions_loss: 0.1861 17/196 [=>............................] - ETA: 52s - loss: 24.3072 - logits_profile_predictions_loss: 24.1220 - logcount_predictions_loss: 0.1852 18/196 [=>............................] - ETA: 52s - loss: 24.2160 - logits_profile_predictions_loss: 24.0345 - logcount_predictions_loss: 0.1815 19/196 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[==========================>...] - ETA: 4s - loss: 23.7055 - logits_profile_predictions_loss: 23.5351 - logcount_predictions_loss: 0.1704 183/196 [===========================>..] - ETA: 3s - loss: 23.6998 - logits_profile_predictions_loss: 23.5297 - logcount_predictions_loss: 0.1701 184/196 [===========================>..] - ETA: 3s - loss: 23.6901 - logits_profile_predictions_loss: 23.5198 - logcount_predictions_loss: 0.1703 185/196 [===========================>..] - ETA: 3s - loss: 23.6869 - logits_profile_predictions_loss: 23.5168 - logcount_predictions_loss: 0.1701 186/196 [===========================>..] - ETA: 2s - loss: 23.6857 - logits_profile_predictions_loss: 23.5155 - logcount_predictions_loss: 0.1702 187/196 [===========================>..] - ETA: 2s - loss: 23.6944 - logits_profile_predictions_loss: 23.5240 - logcount_predictions_loss: 0.1703 188/196 [===========================>..] - ETA: 2s - loss: 23.6914 - logits_profile_predictions_loss: 23.5212 - logcount_predictions_loss: 0.1702 189/196 [===========================>..] - ETA: 2s - loss: 23.6829 - logits_profile_predictions_loss: 23.5127 - logcount_predictions_loss: 0.1702 190/196 [============================>.] - ETA: 1s - loss: 23.6874 - logits_profile_predictions_loss: 23.5171 - logcount_predictions_loss: 0.1703 191/196 [============================>.] - ETA: 1s - loss: 23.6768 - logits_profile_predictions_loss: 23.5066 - logcount_predictions_loss: 0.1702 192/196 [============================>.] - ETA: 1s - loss: 23.6759 - logits_profile_predictions_loss: 23.5057 - logcount_predictions_loss: 0.1702 193/196 [============================>.] - ETA: 0s - loss: 23.6716 - logits_profile_predictions_loss: 23.5013 - logcount_predictions_loss: 0.1704 194/196 [============================>.] - ETA: 0s - loss: 23.6811 - logits_profile_predictions_loss: 23.5110 - logcount_predictions_loss: 0.1702 195/196 [============================>.] - ETA: 0s - loss: 23.6761 - logits_profile_predictions_loss: 23.5061 - logcount_predictions_loss: 0.1700 196/196 [==============================] - ETA: 0s - loss: 23.6786 - logits_profile_predictions_loss: 23.5088 - logcount_predictions_loss: 0.1699 Epoch 9: val_loss did not improve from 26.09945 Restoring model weights from the end of the best epoch: 4.  196/196 [==============================] - 60s 308ms/step - loss: 23.6786 - logits_profile_predictions_loss: 23.5088 - logcount_predictions_loss: 0.1699 - val_loss: 26.8880 - val_logits_profile_predictions_loss: 26.7443 - val_logcount_predictions_loss: 0.1437 Epoch 9: early stopping save model save model without bias got the model loading peaks... got split:test for bed regions:(3331, 10) 0/53 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 1/53 [..............................] - ETA: 8s 2/53 [>.............................] - ETA: 5s 3/53 [>.............................] - ETA: 5s 4/53 [=>............................] - ETA: 5s 5/53 [=>............................] - ETA: 5s 6/53 [==>...........................] - ETA: 5s 7/53 [==>...........................] - ETA: 4s 8/53 [===>..........................] - ETA: 4s 9/53 [====>.........................] - ETA: 4s 10/53 [====>.........................] - ETA: 4s 11/53 [=====>........................] - ETA: 4s 12/53 [=====>........................] - ETA: 4s 13/53 [======>.......................] - ETA: 4s 14/53 [======>.......................] - ETA: 4s 15/53 [=======>......................] - ETA: 4s 16/53 [========>.....................] - ETA: 3s 17/53 [========>.....................] - ETA: 3s 18/53 [=========>....................] - ETA: 3s 19/53 [=========>....................] - ETA: 3s 20/53 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[=====================>........] - ETA: 1s 41/53 [======================>.......] - ETA: 1s 42/53 [======================>.......] - ETA: 1s 43/53 [=======================>......] - ETA: 1s 44/53 [=======================>......] - ETA: 0s 45/53 [========================>.....] - ETA: 0s 46/53 [=========================>....] - ETA: 0s 47/53 [=========================>....] - ETA: 0s 48/53 [==========================>...] - ETA: 0s 49/53 [==========================>...] - ETA: 0s 50/53 [===========================>..] - ETA: 0s 51/53 [===========================>..] - ETA: 0s 52/53 [============================>.] - ETA: 0s 53/53 [==============================] - ETA: 0s 53/53 [==============================] - 6s 108ms/step 1/53 [..............................] - ETA: 1s 2/53 [>.............................] - ETA: 5s 3/53 [>.............................] - ETA: 5s 4/53 [=>............................] - ETA: 5s 5/53 [=>............................] - ETA: 5s 6/53 [==>...........................] - ETA: 5s 7/53 [==>...........................] - ETA: 4s 8/53 [===>..........................] - ETA: 4s 9/53 [====>.........................] - ETA: 4s 10/53 [====>.........................] - ETA: 4s 11/53 [=====>........................] - ETA: 4s 12/53 [=====>........................] - ETA: 4s 13/53 [======>.......................] - ETA: 4s 14/53 [======>.......................] - ETA: 4s 15/53 [=======>......................] - ETA: 4s 16/53 [========>.....................] - ETA: 3s 17/53 [========>.....................] - ETA: 3s 18/53 [=========>....................] - ETA: 3s 19/53 [=========>....................] - ETA: 3s 20/53 [==========>...................] - ETA: 3s 21/53 [==========>...................] - ETA: 3s 22/53 [===========>..................] - ETA: 3s 23/53 [============>.................] - ETA: 3s 24/53 [============>.................] - ETA: 3s 25/53 [=============>................] - ETA: 3s 26/53 [=============>................] - ETA: 2s 27/53 [==============>...............] - ETA: 2s 28/53 [==============>...............] - ETA: 2s 29/53 [===============>..............] - ETA: 2s 30/53 [===============>..............] - ETA: 2s 31/53 [================>.............] - ETA: 2s 32/53 [=================>............] - ETA: 2s 33/53 [=================>............] - ETA: 2s 34/53 [==================>...........] - ETA: 2s 35/53 [==================>...........] - ETA: 1s 36/53 [===================>..........] - ETA: 1s 37/53 [===================>..........] - ETA: 1s 38/53 [====================>.........] - ETA: 1s 39/53 [=====================>........] - ETA: 1s 40/53 [=====================>........] - ETA: 1s 41/53 [======================>.......] - ETA: 1s 42/53 [======================>.......] - ETA: 1s 43/53 [=======================>......] - ETA: 1s 44/53 [=======================>......] - ETA: 0s 45/53 [========================>.....] - ETA: 0s 46/53 [=========================>....] - ETA: 0s 47/53 [=========================>....] - ETA: 0s 48/53 [==========================>...] - ETA: 0s 49/53 [==========================>...] - ETA: 0s 50/53 [===========================>..] - ETA: 0s 51/53 [===========================>..] - ETA: 0s 52/53 [============================>.] - ETA: 0s 53/53 [==============================] - ETA: 0s 53/53 [==============================] - 6s 108ms/step inserting motif: tn5_1 GCACAGTACAGAGCTG 1/53 [..............................] - ETA: 1s 2/53 [>.............................] - ETA: 5s 3/53 [>.............................] - ETA: 5s 4/53 [=>............................] - ETA: 5s 5/53 [=>............................] - ETA: 5s 6/53 [==>...........................] - ETA: 5s 7/53 [==>...........................] - ETA: 4s 8/53 [===>..........................] - ETA: 4s 9/53 [====>.........................] - ETA: 4s 10/53 [====>.........................] - ETA: 4s 11/53 [=====>........................] - ETA: 4s 12/53 [=====>........................] - ETA: 4s 13/53 [======>.......................] - ETA: 4s 14/53 [======>.......................] - ETA: 4s 15/53 [=======>......................] - ETA: 4s 16/53 [========>.....................] - ETA: 3s 17/53 [========>.....................] - ETA: 3s 18/53 [=========>....................] - ETA: 3s 19/53 [=========>....................] - ETA: 3s 20/53 [==========>...................] - ETA: 3s 21/53 [==========>...................] - ETA: 3s 22/53 [===========>..................] - ETA: 3s 23/53 [============>.................] - ETA: 3s 24/53 [============>.................] - ETA: 3s 25/53 [=============>................] - ETA: 3s 26/53 [=============>................] - ETA: 2s 27/53 [==============>...............] - ETA: 2s 28/53 [==============>...............] - ETA: 2s 29/53 [===============>..............] - ETA: 2s 30/53 [===============>..............] - ETA: 2s 31/53 [================>.............] - ETA: 2s 32/53 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[============================>.] - ETA: 0s 53/53 [==============================] - ETA: 0s 53/53 [==============================] - 6s 108ms/step 1/53 [..............................] - ETA: 1s 2/53 [>.............................] - ETA: 5s 3/53 [>.............................] - ETA: 5s 4/53 [=>............................] - ETA: 5s 5/53 [=>............................] - ETA: 5s 6/53 [==>...........................] - ETA: 5s 7/53 [==>...........................] - ETA: 4s 8/53 [===>..........................] - ETA: 4s 9/53 [====>.........................] - ETA: 4s 10/53 [====>.........................] - ETA: 4s 11/53 [=====>........................] - ETA: 4s 12/53 [=====>........................] - ETA: 4s 13/53 [======>.......................] - ETA: 4s 14/53 [======>.......................] - ETA: 4s 15/53 [=======>......................] - ETA: 4s 16/53 [========>.....................] - ETA: 3s 17/53 [========>.....................] - ETA: 3s 18/53 [=========>....................] - ETA: 3s 19/53 [=========>....................] - ETA: 3s 20/53 [==========>...................] - ETA: 3s 21/53 [==========>...................] - ETA: 3s 22/53 [===========>..................] - ETA: 3s 23/53 [============>.................] - ETA: 3s 24/53 [============>.................] - ETA: 3s 25/53 [=============>................] - ETA: 3s 26/53 [=============>................] - ETA: 2s 27/53 [==============>...............] - ETA: 2s 28/53 [==============>...............] - ETA: 2s 29/53 [===============>..............] - ETA: 2s 30/53 [===============>..............] - ETA: 2s 31/53 [================>.............] - ETA: 2s 32/53 [=================>............] - ETA: 2s 33/53 [=================>............] - ETA: 2s 34/53 [==================>...........] - ETA: 2s 35/53 [==================>...........] - ETA: 1s 36/53 [===================>..........] - ETA: 1s 37/53 [===================>..........] - ETA: 1s 38/53 [====================>.........] - ETA: 1s 39/53 [=====================>........] - ETA: 1s 40/53 [=====================>........] - ETA: 1s 41/53 [======================>.......] - ETA: 1s 42/53 [======================>.......] - ETA: 1s 43/53 [=======================>......] - ETA: 1s 44/53 [=======================>......] - ETA: 0s 45/53 [========================>.....] - ETA: 0s 46/53 [=========================>....] - ETA: 0s 47/53 [=========================>....] - ETA: 0s 48/53 [==========================>...] - ETA: 0s 49/53 [==========================>...] - ETA: 0s 50/53 [===========================>..] - ETA: 0s 51/53 [===========================>..] - ETA: 0s 52/53 [============================>.] - ETA: 0s 53/53 [==============================] - ETA: 0s 53/53 [==============================] - 6s 108ms/step inserting motif: tn5_2 GTGCACAGTTCTAGAGTGTGCAG 1/53 [..............................] - ETA: 1s 2/53 [>.............................] - ETA: 5s 3/53 [>.............................] - ETA: 5s 4/53 [=>............................] - ETA: 5s 5/53 [=>............................] - ETA: 5s 6/53 [==>...........................] - ETA: 5s 7/53 [==>...........................] - ETA: 4s 8/53 [===>..........................] - ETA: 4s 9/53 [====>.........................] - ETA: 4s 10/53 [====>.........................] - ETA: 4s 11/53 [=====>........................] - ETA: 4s 12/53 [=====>........................] - ETA: 4s 13/53 [======>.......................] - ETA: 4s 14/53 [======>.......................] - ETA: 4s 15/53 [=======>......................] - ETA: 4s 16/53 [========>.....................] - ETA: 3s 17/53 [========>.....................] - ETA: 3s 18/53 [=========>....................] - ETA: 3s 19/53 [=========>....................] - ETA: 3s 20/53 [==========>...................] - ETA: 3s 21/53 [==========>...................] - ETA: 3s 22/53 [===========>..................] - ETA: 3s 23/53 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[=======================>......] - ETA: 1s 44/53 [=======================>......] - ETA: 0s 45/53 [========================>.....] - ETA: 0s 46/53 [=========================>....] - ETA: 0s 47/53 [=========================>....] - ETA: 0s 48/53 [==========================>...] - ETA: 0s 49/53 [==========================>...] - ETA: 0s 50/53 [===========================>..] - ETA: 0s 51/53 [===========================>..] - ETA: 0s 52/53 [============================>.] - ETA: 0s 53/53 [==============================] - ETA: 0s 53/53 [==============================] - 6s 108ms/step 1/53 [..............................] - ETA: 1s 2/53 [>.............................] - ETA: 5s 3/53 [>.............................] - ETA: 5s 4/53 [=>............................] - ETA: 5s 5/53 [=>............................] - ETA: 5s 6/53 [==>...........................] - ETA: 5s 7/53 [==>...........................] - ETA: 4s 8/53 [===>..........................] - ETA: 4s 9/53 [====>.........................] - ETA: 4s 10/53 [====>.........................] - ETA: 4s 11/53 [=====>........................] - ETA: 4s 12/53 [=====>........................] - ETA: 4s 13/53 [======>.......................] - ETA: 4s 14/53 [======>.......................] - ETA: 4s 15/53 [=======>......................] - ETA: 4s 16/53 [========>.....................] - ETA: 3s 17/53 [========>.....................] - ETA: 3s 18/53 [=========>....................] - ETA: 3s 19/53 [=========>....................] - ETA: 3s 20/53 [==========>...................] - ETA: 3s 21/53 [==========>...................] - ETA: 3s 22/53 [===========>..................] - ETA: 3s 23/53 [============>.................] - ETA: 3s 24/53 [============>.................] - ETA: 3s 25/53 [=============>................] - ETA: 3s 26/53 [=============>................] - ETA: 2s 27/53 [==============>...............] - ETA: 2s 28/53 [==============>...............] - ETA: 2s 29/53 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[==========================>...] - ETA: 0s 50/53 [===========================>..] - ETA: 0s 51/53 [===========================>..] - ETA: 0s 52/53 [============================>.] - ETA: 0s 53/53 [==============================] - ETA: 0s 53/53 [==============================] - 6s 108ms/step inserting motif: tn5_3 CCTCTACACTGTGCAGAA 1/53 [..............................] - ETA: 1s 2/53 [>.............................] - ETA: 5s 3/53 [>.............................] - ETA: 5s 4/53 [=>............................] - ETA: 5s 5/53 [=>............................] - ETA: 5s 6/53 [==>...........................] - ETA: 5s 7/53 [==>...........................] - ETA: 4s 8/53 [===>..........................] - ETA: 4s 9/53 [====>.........................] - ETA: 4s 10/53 [====>.........................] - ETA: 4s 11/53 [=====>........................] - ETA: 4s 12/53 [=====>........................] - ETA: 4s 13/53 [======>.......................] - ETA: 4s 14/53 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wo_bias_bpnet_1st_conv (Conv1D (None, 2094, 512) 43520 ['sequence[0][0]'] ) wo_bias_bpnet_1conv (Conv1D) (None, 2090, 512) 786944 ['wo_bias_bpnet_1st_conv[0][0]'] wo_bias_bpnet_1crop (Cropping1 (None, 2090, 512) 0 ['wo_bias_bpnet_1st_conv[0][0]'] D) add (Add) (None, 2090, 512) 0 ['wo_bias_bpnet_1conv[0][0]', 'wo_bias_bpnet_1crop[0][0]'] wo_bias_bpnet_2conv (Conv1D) (None, 2082, 512) 786944 ['add[0][0]'] wo_bias_bpnet_2crop (Cropping1 (None, 2082, 512) 0 ['add[0][0]'] D) add_1 (Add) (None, 2082, 512) 0 ['wo_bias_bpnet_2conv[0][0]', 'wo_bias_bpnet_2crop[0][0]'] wo_bias_bpnet_3conv (Conv1D) (None, 2066, 512) 786944 ['add_1[0][0]'] wo_bias_bpnet_3crop (Cropping1 (None, 2066, 512) 0 ['add_1[0][0]'] D) add_2 (Add) (None, 2066, 512) 0 ['wo_bias_bpnet_3conv[0][0]', 'wo_bias_bpnet_3crop[0][0]'] wo_bias_bpnet_4conv (Conv1D) (None, 2034, 512) 786944 ['add_2[0][0]'] wo_bias_bpnet_4crop (Cropping1 (None, 2034, 512) 0 ['add_2[0][0]'] D) add_3 (Add) (None, 2034, 512) 0 ['wo_bias_bpnet_4conv[0][0]', 'wo_bias_bpnet_4crop[0][0]'] wo_bias_bpnet_5conv (Conv1D) (None, 1970, 512) 786944 ['add_3[0][0]'] wo_bias_bpnet_5crop (Cropping1 (None, 1970, 512) 0 ['add_3[0][0]'] D) add_4 (Add) (None, 1970, 512) 0 ['wo_bias_bpnet_5conv[0][0]', 'wo_bias_bpnet_5crop[0][0]'] wo_bias_bpnet_6conv (Conv1D) (None, 1842, 512) 786944 ['add_4[0][0]'] wo_bias_bpnet_6crop (Cropping1 (None, 1842, 512) 0 ['add_4[0][0]'] D) add_5 (Add) (None, 1842, 512) 0 ['wo_bias_bpnet_6conv[0][0]', 'wo_bias_bpnet_6crop[0][0]'] wo_bias_bpnet_7conv (Conv1D) (None, 1586, 512) 786944 ['add_5[0][0]'] wo_bias_bpnet_7crop (Cropping1 (None, 1586, 512) 0 ['add_5[0][0]'] D) add_6 (Add) (None, 1586, 512) 0 ['wo_bias_bpnet_7conv[0][0]', 'wo_bias_bpnet_7crop[0][0]'] wo_bias_bpnet_8conv (Conv1D) (None, 1074, 512) 786944 ['add_6[0][0]'] wo_bias_bpnet_8crop (Cropping1 (None, 1074, 512) 0 ['add_6[0][0]'] D) add_7 (Add) (None, 1074, 512) 0 ['wo_bias_bpnet_8conv[0][0]', 'wo_bias_bpnet_8crop[0][0]'] wo_bias_bpnet_prof_out_precrop (None, 1000, 1) 38401 ['add_7[0][0]'] (Conv1D) wo_bias_bpnet_logitt_before_fl (None, 1000, 1) 0 ['wo_bias_bpnet_prof_out_precrop[ atten (Cropping1D) 0][0]'] gap (GlobalAveragePooling1D) (None, 512) 0 ['add_7[0][0]'] wo_bias_bpnet_logits_profile_p (None, 1000) 0 ['wo_bias_bpnet_logitt_before_fla redictions (Flatten) tten[0][0]'] wo_bias_bpnet_logcount_predict (None, 1) 513 ['gap[0][0]'] ions (Dense) ================================================================================================== Total params: 6,377,986 Trainable params: 6,377,986 Non-trainable params: 0 __________________________________________________________________________________________________ inferred model inputlen: 2114 Seqs dimension : (15791, 2114, 4) Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: StopGradient used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Generating 'profile' shap scores Done 0 examples of 15791 Done 100 examples of 15791 Done 200 examples of 15791 Done 300 examples of 15791 Done 400 examples of 15791 Done 500 examples of 15791 Done 600 examples of 15791 Done 700 examples of 15791 Done 800 examples of 15791 Done 900 examples of 15791 Done 1000 examples of 15791 Done 1100 examples of 15791 Done 1200 examples of 15791 Done 1300 examples of 15791 Done 1400 examples of 15791 Done 1500 examples of 15791 Done 1600 examples of 15791 Done 1700 examples of 15791 Done 1800 examples of 15791 Done 1900 examples of 15791 Done 2000 examples of 15791 Done 2100 examples of 15791 Done 2200 examples of 15791 Done 2300 examples of 15791 Done 2400 examples of 15791 Done 2500 examples of 15791 Done 2600 examples of 15791 Done 2700 examples of 15791 Done 2800 examples of 15791 Done 2900 examples of 15791 Done 3000 examples of 15791 Done 3100 examples of 15791 Done 3200 examples of 15791 Done 3300 examples of 15791 Done 3400 examples of 15791 Done 3500 examples of 15791 Done 3600 examples of 15791 Done 3700 examples of 15791 Done 3800 examples of 15791 Done 3900 examples of 15791 Done 4000 examples of 15791 Done 4100 examples of 15791 Done 4200 examples of 15791 Done 4300 examples of 15791 Done 4400 examples of 15791 Done 4500 examples of 15791 Done 4600 examples of 15791 Done 4700 examples of 15791 Done 4800 examples of 15791 Done 4900 examples of 15791 Done 5000 examples of 15791 Done 5100 examples of 15791 Done 5200 examples of 15791 Done 5300 examples of 15791 Done 5400 examples of 15791 Done 5500 examples of 15791 Done 5600 examples of 15791 Done 5700 examples of 15791 Done 5800 examples of 15791 Done 5900 examples of 15791 Done 6000 examples of 15791 Done 6100 examples of 15791 Done 6200 examples of 15791 Done 6300 examples of 15791 Done 6400 examples of 15791 Done 6500 examples of 15791 Done 6600 examples of 15791 Done 6700 examples of 15791 Done 6800 examples of 15791 Done 6900 examples of 15791 Done 7000 examples of 15791 Done 7100 examples of 15791 Done 7200 examples of 15791 Done 7300 examples of 15791 Done 7400 examples of 15791 Done 7500 examples of 15791 Done 7600 examples of 15791 Done 7700 examples of 15791 Done 7800 examples of 15791 Done 7900 examples of 15791 Done 8000 examples of 15791 Done 8100 examples of 15791 Done 8200 examples of 15791 Done 8300 examples of 15791 Done 8400 examples of 15791 Done 8500 examples of 15791 Done 8600 examples of 15791 Done 8700 examples of 15791 Done 8800 examples of 15791 Done 8900 examples of 15791 Done 9000 examples of 15791 Done 9100 examples of 15791 Done 9200 examples of 15791 Done 9300 examples of 15791 Done 9400 examples of 15791 Done 9500 examples of 15791 Done 9600 examples of 15791 Done 9700 examples of 15791 Done 9800 examples of 15791 Done 9900 examples of 15791 Done 10000 examples of 15791 Done 10100 examples of 15791 Done 10200 examples of 15791 Done 10300 examples of 15791 Done 10400 examples of 15791 Done 10500 examples of 15791 Done 10600 examples of 15791 Done 10700 examples of 15791 Done 10800 examples of 15791 Done 10900 examples of 15791 Done 11000 examples of 15791 Done 11100 examples of 15791 Done 11200 examples of 15791 Done 11300 examples of 15791 Done 11400 examples of 15791 Done 11500 examples of 15791 Done 11600 examples of 15791 Done 11700 examples of 15791 Done 11800 examples of 15791 Done 11900 examples of 15791 Done 12000 examples of 15791 Done 12100 examples of 15791 Done 12200 examples of 15791 Done 12300 examples of 15791 Done 12400 examples of 15791 Done 12500 examples of 15791 Done 12600 examples of 15791 Done 12700 examples of 15791 Done 12800 examples of 15791 Done 12900 examples of 15791 Done 13000 examples of 15791 Done 13100 examples of 15791 Done 13200 examples of 15791 Done 13300 examples of 15791 Done 13400 examples of 15791 Done 13500 examples of 15791 Done 13600 examples of 15791 Done 13700 examples of 15791 Done 13800 examples of 15791 Done 13900 examples of 15791 Done 14000 examples of 15791 Done 14100 examples of 15791 Done 14200 examples of 15791 Done 14300 examples of 15791 Done 14400 examples of 15791 Done 14500 examples of 15791 Done 14600 examples of 15791 Done 14700 examples of 15791 Done 14800 examples of 15791 Done 14900 examples of 15791 Done 15000 examples of 15791 Done 15100 examples of 15791 Done 15200 examples of 15791 Done 15300 examples of 15791 Done 15400 examples of 15791 Done 15500 examples of 15791 Done 15600 examples of 15791 Done 15700 examples of 15791 Saving 'profile' scores