Live Estimating enzyme shift in input file Current estimated shift: +4/-4 awk -v OFS="\t" '{if ($6=="+"){print $1,$2+0,$3,$4,$5,$6} else if ($6=="-") {print $1,$2,$3+0,$4,$5,$6}}' | sort -k1,1 | bedtools genomecov -bg -5 -i stdin -g /oak/stanford/groups/akundaje/soumyak/refs/hg38/GRCh38_EBV.chrom.sizes.tsv | LC_COLLATE="C" sort -k1,1 -k2,2n Making BedGraph (Filter chromosomes not in reference fasta) Making Bigwig non zero bigwig entries in the given chromosome: 6594 evaluating hyperparameters on the following chromosomes ['chr1', 'chr3', 'chr4', 'chr5', 'chr6', 'chr7', 'chr10', 'chr11', 'chr13', 'chr14', 'chr15', 'chr18', 'chr19', 'chr20', 'chr21', 'chr22', 'chrX', 'chrY', 'chr12', 'chr17'] Number of peaks input: 2500 Number of peaks filtered because the input/output is on the edge: 0 Number of peaks being used: 2500 Number of peaks input: 625 Number of peaks filtered because the input/output is on the edge: 0 Number of peaks being used: 625 Number of non peaks input: 5000 Number of non peaks filtered because the input/output is on the edge: 0 Number of non peaks being used: 5000 Number of non peaks input: 625 Number of non peaks filtered because the input/output is on the edge: 0 Number of non peaks being used: 625 Number of peaks after removing outliers: 2498 Number of nonpeaks after removing outliers: 390 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 1/13 [=>............................] - ETA: 18s 6/13 [============>.................] - ETA: 0s  11/13 [========================>.....] - ETA: 0s 13/13 [==============================] - 2s 14ms/step got the model loading peaks... got split:test for bed regions:(625, 10) 0/10 Bias model pearsonr performance in peaks is: -0.13 {'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.In/fold_1/models/bias_model_scaled.h5', 'inputlen': '2114', 'outputlen': '1000', 'max_jitter': '500', 'chr_fold_path': '/oak/stanford/groups/akundaje/soumyak/refs/hg38/splits/fold_1.json', 'negative_sampling_ratio': '0.1'} got the model loading peaks... got split:train for bed regions:(2158, 10) loading nonpeaks... got split:train for bed regions:(315, 10) loading peaks... got split:valid for bed regions:(340, 10) loading nonpeaks... got split:valid for bed regions:(75, 10) Epoch 1/50 1/38 [..............................] - ETA: 3:47 - loss: 22.8756 - logits_profile_predictions_loss: 22.6863 - logcount_predictions_loss: 0.1893 2/38 [>.............................] - ETA: 26s - loss: 699.0413 - logits_profile_predictions_loss: 22.8139 - logcount_predictions_loss: 676.2274 3/38 [=>............................] - ETA: 25s - loss: 473.8852 - logits_profile_predictions_loss: 22.9900 - logcount_predictions_loss: 450.8952 4/38 [==>...........................] - ETA: 24s - loss: 360.9769 - logits_profile_predictions_loss: 22.7146 - logcount_predictions_loss: 338.2623 5/38 [==>...........................] - ETA: 24s - loss: 293.1940 - logits_profile_predictions_loss: 22.5159 - logcount_predictions_loss: 270.6781 6/38 [===>..........................] - ETA: 23s - loss: 248.1934 - logits_profile_predictions_loss: 22.5674 - logcount_predictions_loss: 225.6260 7/38 [====>.........................] - ETA: 22s - loss: 216.3992 - logits_profile_predictions_loss: 22.9246 - logcount_predictions_loss: 193.4745 8/38 [=====>........................] - ETA: 21s - loss: 192.3824 - logits_profile_predictions_loss: 23.0270 - logcount_predictions_loss: 169.3554 9/38 [======>.......................] - ETA: 21s - loss: 173.4730 - logits_profile_predictions_loss: 22.8916 - logcount_predictions_loss: 150.5814 10/38 [======>.......................] - ETA: 20s - loss: 158.4369 - logits_profile_predictions_loss: 22.8666 - logcount_predictions_loss: 135.5703 11/38 [=======>......................] - ETA: 19s - loss: 157.3969 - logits_profile_predictions_loss: 22.8755 - logcount_predictions_loss: 134.5215 12/38 [========>.....................] - ETA: 18s - loss: 145.2048 - logits_profile_predictions_loss: 22.7862 - logcount_predictions_loss: 122.4186 13/38 [=========>....................] - ETA: 17s - loss: 135.1000 - logits_profile_predictions_loss: 22.7774 - logcount_predictions_loss: 112.3225 14/38 [==========>...................] - ETA: 17s - loss: 126.4768 - logits_profile_predictions_loss: 22.7102 - logcount_predictions_loss: 103.7666 15/38 [==========>...................] - ETA: 16s - loss: 119.1389 - logits_profile_predictions_loss: 22.7103 - logcount_predictions_loss: 96.4286  16/38 [===========>..................] - ETA: 15s - loss: 112.7769 - logits_profile_predictions_loss: 22.7099 - logcount_predictions_loss: 90.0670 17/38 [============>.................] - ETA: 15s - loss: 107.0754 - logits_profile_predictions_loss: 22.5917 - logcount_predictions_loss: 84.4838 18/38 [=============>................] - ETA: 14s - loss: 102.1346 - logits_profile_predictions_loss: 22.5710 - logcount_predictions_loss: 79.5635 19/38 [==============>...............] - ETA: 13s - loss: 97.7986 - logits_profile_predictions_loss: 22.6109 - logcount_predictions_loss: 75.1876  20/38 [==============>...............] - ETA: 12s - loss: 93.8097 - logits_profile_predictions_loss: 22.5448 - logcount_predictions_loss: 71.2649 21/38 [===============>..............] - ETA: 12s - loss: 90.2560 - logits_profile_predictions_loss: 22.5178 - logcount_predictions_loss: 67.7382 22/38 [================>.............] - ETA: 11s - loss: 86.9712 - logits_profile_predictions_loss: 22.4264 - logcount_predictions_loss: 64.5448 23/38 [=================>............] - ETA: 10s - loss: 84.0819 - logits_profile_predictions_loss: 22.4380 - logcount_predictions_loss: 61.6439 24/38 [=================>............] - ETA: 10s - loss: 81.4119 - logits_profile_predictions_loss: 22.4209 - logcount_predictions_loss: 58.9910 25/38 [==================>...........] - ETA: 9s - loss: 78.9396 - logits_profile_predictions_loss: 22.3826 - logcount_predictions_loss: 56.5570  26/38 [===================>..........] - ETA: 8s - loss: 76.6154 - logits_profile_predictions_loss: 22.3009 - logcount_predictions_loss: 54.3146 27/38 [====================>.........] - ETA: 7s - loss: 74.5635 - logits_profile_predictions_loss: 22.3161 - logcount_predictions_loss: 52.2474 28/38 [=====================>........] - ETA: 7s - loss: 72.5537 - logits_profile_predictions_loss: 22.2238 - logcount_predictions_loss: 50.3299 29/38 [=====================>........] - ETA: 6s - loss: 70.8056 - logits_profile_predictions_loss: 22.2498 - logcount_predictions_loss: 48.5558 30/38 [======================>.......] - ETA: 6s - loss: 69.1326 - logits_profile_predictions_loss: 22.2341 - logcount_predictions_loss: 46.8984 31/38 [=======================>......] - ETA: 5s - loss: 67.6012 - logits_profile_predictions_loss: 22.2469 - logcount_predictions_loss: 45.3544 32/38 [========================>.....] - ETA: 4s - loss: 66.1143 - logits_profile_predictions_loss: 22.2068 - logcount_predictions_loss: 43.9075 33/38 [=========================>....] - ETA: 3s - loss: 64.7845 - logits_profile_predictions_loss: 22.2319 - logcount_predictions_loss: 42.5526 34/38 [=========================>....] - ETA: 3s - loss: 63.4691 - logits_profile_predictions_loss: 22.1928 - logcount_predictions_loss: 41.2763 35/38 [==========================>...] - ETA: 2s - loss: 62.2446 - logits_profile_predictions_loss: 22.1675 - logcount_predictions_loss: 40.0771 36/38 [===========================>..] - ETA: 1s - loss: 61.0743 - logits_profile_predictions_loss: 22.1299 - logcount_predictions_loss: 38.9444 37/38 [============================>.] - ETA: 0s - loss: 60.0055 - logits_profile_predictions_loss: 22.1301 - logcount_predictions_loss: 37.8754 38/38 [==============================] - ETA: 0s - loss: 58.9904 - logits_profile_predictions_loss: 22.1255 - logcount_predictions_loss: 36.8649 Epoch 1: val_loss improved from inf to 25.06306, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.adipocyte.In/fold_1/models/chrombpnet.h5  38/38 [==============================] - 38s 857ms/step - loss: 58.9904 - logits_profile_predictions_loss: 22.1255 - logcount_predictions_loss: 36.8649 - val_loss: 25.0631 - val_logits_profile_predictions_loss: 24.5551 - val_logcount_predictions_loss: 0.5079 Epoch 2/50 1/38 [..............................] - ETA: 27s - loss: 20.9458 - logits_profile_predictions_loss: 20.6358 - logcount_predictions_loss: 0.3101 2/38 [>.............................] - ETA: 25s - loss: 21.6115 - logits_profile_predictions_loss: 21.2264 - logcount_predictions_loss: 0.3851 3/38 [=>............................] - ETA: 25s - loss: 22.1027 - logits_profile_predictions_loss: 21.6873 - logcount_predictions_loss: 0.4154 4/38 [==>...........................] - ETA: 24s - loss: 21.9750 - logits_profile_predictions_loss: 21.5574 - logcount_predictions_loss: 0.4176 5/38 [==>...........................] - ETA: 23s - loss: 21.9926 - logits_profile_predictions_loss: 21.5688 - logcount_predictions_loss: 0.4238 6/38 [===>..........................] - ETA: 23s - loss: 22.0884 - logits_profile_predictions_loss: 21.6621 - logcount_predictions_loss: 0.4263 7/38 [====>.........................] - ETA: 22s - loss: 22.0704 - logits_profile_predictions_loss: 21.6506 - logcount_predictions_loss: 0.4199 8/38 [=====>........................] - ETA: 21s - loss: 22.3791 - logits_profile_predictions_loss: 21.9487 - logcount_predictions_loss: 0.4304 9/38 [======>.......................] - ETA: 20s - loss: 22.3215 - logits_profile_predictions_loss: 21.8996 - logcount_predictions_loss: 0.4220 10/38 [======>.......................] - ETA: 20s - loss: 22.2710 - logits_profile_predictions_loss: 21.8541 - logcount_predictions_loss: 0.4169 11/38 [=======>......................] - ETA: 19s - loss: 22.3384 - logits_profile_predictions_loss: 21.9200 - logcount_predictions_loss: 0.4185 12/38 [========>.....................] - ETA: 18s - loss: 22.2831 - logits_profile_predictions_loss: 21.8626 - logcount_predictions_loss: 0.4205 13/38 [=========>....................] - ETA: 18s - loss: 22.3190 - logits_profile_predictions_loss: 21.9019 - logcount_predictions_loss: 0.4172 14/38 [==========>...................] - ETA: 17s - loss: 22.2445 - logits_profile_predictions_loss: 21.8262 - logcount_predictions_loss: 0.4183 15/38 [==========>...................] - ETA: 16s - loss: 22.2436 - logits_profile_predictions_loss: 21.8238 - logcount_predictions_loss: 0.4199 16/38 [===========>..................] - ETA: 15s - loss: 22.2345 - logits_profile_predictions_loss: 21.8155 - logcount_predictions_loss: 0.4190 17/38 [============>.................] - ETA: 14s - loss: 22.2387 - logits_profile_predictions_loss: 21.8180 - logcount_predictions_loss: 0.4207 18/38 [=============>................] - ETA: 13s - loss: 22.2739 - logits_profile_predictions_loss: 21.8519 - logcount_predictions_loss: 0.4220 19/38 [==============>...............] - ETA: 13s - loss: 22.2536 - logits_profile_predictions_loss: 21.8372 - logcount_predictions_loss: 0.4164 20/38 [==============>...............] - ETA: 12s - loss: 22.2579 - logits_profile_predictions_loss: 21.8417 - logcount_predictions_loss: 0.4162 21/38 [===============>..............] - ETA: 11s - loss: 22.3866 - logits_profile_predictions_loss: 21.9664 - logcount_predictions_loss: 0.4202 22/38 [================>.............] - ETA: 11s - loss: 22.4197 - logits_profile_predictions_loss: 21.9963 - logcount_predictions_loss: 0.4234 23/38 [=================>............] - ETA: 10s - loss: 22.3984 - logits_profile_predictions_loss: 21.9746 - logcount_predictions_loss: 0.4239 24/38 [=================>............] - ETA: 9s - loss: 22.3958 - logits_profile_predictions_loss: 21.9718 - logcount_predictions_loss: 0.4240  25/38 [==================>...........] - ETA: 9s - loss: 22.4136 - logits_profile_predictions_loss: 21.9911 - logcount_predictions_loss: 0.4225 26/38 [===================>..........] - ETA: 8s - loss: 22.4664 - logits_profile_predictions_loss: 22.0443 - logcount_predictions_loss: 0.4220 27/38 [====================>.........] - ETA: 7s - loss: 22.4544 - logits_profile_predictions_loss: 22.0322 - logcount_predictions_loss: 0.4222 28/38 [=====================>........] - ETA: 7s - loss: 22.4168 - logits_profile_predictions_loss: 21.9964 - logcount_predictions_loss: 0.4204 29/38 [=====================>........] - ETA: 6s - loss: 22.3656 - logits_profile_predictions_loss: 21.9478 - logcount_predictions_loss: 0.4178 30/38 [======================>.......] - ETA: 5s - loss: 22.3376 - logits_profile_predictions_loss: 21.9204 - logcount_predictions_loss: 0.4171 31/38 [=======================>......] - ETA: 4s - loss: 22.3572 - logits_profile_predictions_loss: 21.9395 - logcount_predictions_loss: 0.4177 32/38 [========================>.....] - ETA: 4s - loss: 22.4047 - logits_profile_predictions_loss: 21.9839 - logcount_predictions_loss: 0.4208 33/38 [=========================>....] - ETA: 3s - loss: 22.4129 - logits_profile_predictions_loss: 21.9928 - logcount_predictions_loss: 0.4201 34/38 [=========================>....] - ETA: 2s - loss: 22.4621 - logits_profile_predictions_loss: 22.0397 - logcount_predictions_loss: 0.4224 35/38 [==========================>...] - ETA: 2s - loss: 22.4611 - logits_profile_predictions_loss: 22.0380 - logcount_predictions_loss: 0.4231 36/38 [===========================>..] - ETA: 1s - loss: 22.4992 - logits_profile_predictions_loss: 22.0743 - logcount_predictions_loss: 0.4250 37/38 [============================>.] - ETA: 0s - loss: 22.5309 - logits_profile_predictions_loss: 22.1059 - logcount_predictions_loss: 0.4249 38/38 [==============================] - ETA: 0s - loss: 22.5253 - logits_profile_predictions_loss: 22.1026 - logcount_predictions_loss: 0.4227 Epoch 2: val_loss did not improve from 25.06306  38/38 [==============================] - 30s 787ms/step - loss: 22.5253 - logits_profile_predictions_loss: 22.1026 - logcount_predictions_loss: 0.4227 - val_loss: 25.0654 - val_logits_profile_predictions_loss: 24.5574 - val_logcount_predictions_loss: 0.5079 Epoch 3/50 1/38 [..............................] - ETA: 27s - loss: 22.0736 - logits_profile_predictions_loss: 21.6748 - logcount_predictions_loss: 0.3988 2/38 [>.............................] - ETA: 25s - loss: 22.5820 - logits_profile_predictions_loss: 22.1880 - logcount_predictions_loss: 0.3940 3/38 [=>............................] - ETA: 25s - loss: 21.8766 - logits_profile_predictions_loss: 21.5146 - logcount_predictions_loss: 0.3621 4/38 [==>...........................] - ETA: 24s - loss: 21.8355 - logits_profile_predictions_loss: 21.4565 - logcount_predictions_loss: 0.3790 5/38 [==>...........................] - ETA: 23s - loss: 21.6149 - logits_profile_predictions_loss: 21.2353 - logcount_predictions_loss: 0.3795 6/38 [===>..........................] - ETA: 23s - loss: 22.0640 - logits_profile_predictions_loss: 21.6691 - logcount_predictions_loss: 0.3949 7/38 [====>.........................] - ETA: 22s - loss: 22.0014 - logits_profile_predictions_loss: 21.6143 - logcount_predictions_loss: 0.3871 8/38 [=====>........................] - ETA: 21s - loss: 21.9552 - logits_profile_predictions_loss: 21.5726 - logcount_predictions_loss: 0.3826 9/38 [======>.......................] - ETA: 21s - loss: 22.0141 - logits_profile_predictions_loss: 21.6239 - logcount_predictions_loss: 0.3901 10/38 [======>.......................] - ETA: 20s - loss: 22.1075 - logits_profile_predictions_loss: 21.7076 - logcount_predictions_loss: 0.3999 11/38 [=======>......................] - ETA: 19s - loss: 22.2871 - logits_profile_predictions_loss: 21.8784 - logcount_predictions_loss: 0.4087 12/38 [========>.....................] - ETA: 17s - loss: 22.3043 - logits_profile_predictions_loss: 21.8936 - logcount_predictions_loss: 0.4107 13/38 [=========>....................] - ETA: 16s - loss: 22.3649 - logits_profile_predictions_loss: 21.9553 - logcount_predictions_loss: 0.4097 14/38 [==========>...................] - ETA: 16s - loss: 22.4030 - logits_profile_predictions_loss: 21.9883 - logcount_predictions_loss: 0.4147 15/38 [==========>...................] - ETA: 15s - loss: 22.3941 - logits_profile_predictions_loss: 21.9824 - logcount_predictions_loss: 0.4117 16/38 [===========>..................] - ETA: 15s - loss: 22.5892 - logits_profile_predictions_loss: 22.1679 - logcount_predictions_loss: 0.4213 17/38 [============>.................] - ETA: 14s - loss: 22.6597 - logits_profile_predictions_loss: 22.2323 - logcount_predictions_loss: 0.4274 18/38 [=============>................] - ETA: 13s - loss: 22.7087 - logits_profile_predictions_loss: 22.2772 - logcount_predictions_loss: 0.4315 19/38 [==============>...............] - ETA: 13s - loss: 22.7453 - logits_profile_predictions_loss: 22.3157 - logcount_predictions_loss: 0.4296 20/38 [==============>...............] - ETA: 12s - loss: 22.6688 - logits_profile_predictions_loss: 22.2405 - logcount_predictions_loss: 0.4283 21/38 [===============>..............] - ETA: 11s - loss: 22.6778 - logits_profile_predictions_loss: 22.2476 - logcount_predictions_loss: 0.4302 22/38 [================>.............] - ETA: 11s - loss: 22.6513 - logits_profile_predictions_loss: 22.2249 - logcount_predictions_loss: 0.4264 23/38 [=================>............] - ETA: 10s - loss: 22.6439 - logits_profile_predictions_loss: 22.2162 - logcount_predictions_loss: 0.4277 24/38 [=================>............] - ETA: 9s - loss: 22.6314 - logits_profile_predictions_loss: 22.2024 - logcount_predictions_loss: 0.4290  25/38 [==================>...........] - ETA: 9s - loss: 22.6496 - logits_profile_predictions_loss: 22.2186 - logcount_predictions_loss: 0.4310 26/38 [===================>..........] - ETA: 8s - loss: 22.6203 - logits_profile_predictions_loss: 22.1937 - logcount_predictions_loss: 0.4266 27/38 [====================>.........] - ETA: 7s - loss: 22.5961 - logits_profile_predictions_loss: 22.1712 - logcount_predictions_loss: 0.4249 28/38 [=====================>........] - ETA: 7s - loss: 22.6214 - logits_profile_predictions_loss: 22.1940 - logcount_predictions_loss: 0.4273 29/38 [=====================>........] - ETA: 6s - loss: 22.6596 - logits_profile_predictions_loss: 22.2304 - logcount_predictions_loss: 0.4292 30/38 [======================>.......] - ETA: 5s - loss: 22.5869 - logits_profile_predictions_loss: 22.1598 - logcount_predictions_loss: 0.4272 31/38 [=======================>......] - ETA: 5s - loss: 22.6177 - logits_profile_predictions_loss: 22.1889 - logcount_predictions_loss: 0.4288 32/38 [========================>.....] - ETA: 4s - loss: 22.6085 - logits_profile_predictions_loss: 22.1806 - logcount_predictions_loss: 0.4279 33/38 [=========================>....] - ETA: 3s - loss: 22.6385 - logits_profile_predictions_loss: 22.2088 - logcount_predictions_loss: 0.4296 34/38 [=========================>....] - ETA: 2s - loss: 22.6246 - logits_profile_predictions_loss: 22.1972 - logcount_predictions_loss: 0.4274 35/38 [==========================>...] - ETA: 2s - loss: 22.6523 - logits_profile_predictions_loss: 22.2222 - logcount_predictions_loss: 0.4302 36/38 [===========================>..] - ETA: 1s - loss: 22.6950 - logits_profile_predictions_loss: 22.2617 - logcount_predictions_loss: 0.4334 37/38 [============================>.] - ETA: 0s - loss: 22.6176 - logits_profile_predictions_loss: 22.1880 - logcount_predictions_loss: 0.4296 38/38 [==============================] - ETA: 0s - loss: 22.5500 - logits_profile_predictions_loss: 22.1236 - logcount_predictions_loss: 0.4264 Epoch 3: val_loss improved from 25.06306 to 24.98324, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.adipocyte.In/fold_1/models/chrombpnet.h5  38/38 [==============================] - 30s 802ms/step - loss: 22.5500 - logits_profile_predictions_loss: 22.1236 - logcount_predictions_loss: 0.4264 - val_loss: 24.9832 - val_logits_profile_predictions_loss: 24.4753 - val_logcount_predictions_loss: 0.5079 Epoch 4/50 1/38 [..............................] - ETA: 27s - loss: 23.4295 - logits_profile_predictions_loss: 22.9802 - logcount_predictions_loss: 0.4493 2/38 [>.............................] - ETA: 26s - loss: 23.2269 - logits_profile_predictions_loss: 22.7927 - logcount_predictions_loss: 0.4342 3/38 [=>............................] - ETA: 25s - loss: 22.8944 - logits_profile_predictions_loss: 22.4760 - logcount_predictions_loss: 0.4185 4/38 [==>...........................] - ETA: 24s - loss: 22.7414 - logits_profile_predictions_loss: 22.3257 - logcount_predictions_loss: 0.4157 5/38 [==>...........................] - ETA: 23s - loss: 23.0121 - logits_profile_predictions_loss: 22.5656 - logcount_predictions_loss: 0.4465 6/38 [===>..........................] - ETA: 18s - loss: 22.9392 - logits_profile_predictions_loss: 22.4983 - logcount_predictions_loss: 0.4409 7/38 [====>.........................] - ETA: 19s - loss: 22.9162 - logits_profile_predictions_loss: 22.4699 - logcount_predictions_loss: 0.4463 8/38 [=====>........................] - ETA: 19s - loss: 22.7192 - logits_profile_predictions_loss: 22.2862 - logcount_predictions_loss: 0.4330 9/38 [======>.......................] - ETA: 18s - loss: 22.3459 - logits_profile_predictions_loss: 21.9221 - logcount_predictions_loss: 0.4238 10/38 [======>.......................] - ETA: 18s - loss: 22.4190 - logits_profile_predictions_loss: 21.9890 - logcount_predictions_loss: 0.4300 11/38 [=======>......................] - ETA: 17s - loss: 22.4318 - logits_profile_predictions_loss: 21.9954 - logcount_predictions_loss: 0.4364 12/38 [========>.....................] - ETA: 17s - loss: 22.4186 - logits_profile_predictions_loss: 21.9799 - logcount_predictions_loss: 0.4387 13/38 [=========>....................] - ETA: 16s - loss: 22.5367 - logits_profile_predictions_loss: 22.0943 - logcount_predictions_loss: 0.4424 14/38 [==========>...................] - ETA: 16s - loss: 22.3798 - logits_profile_predictions_loss: 21.9453 - logcount_predictions_loss: 0.4344 15/38 [==========>...................] - ETA: 15s - loss: 22.5565 - logits_profile_predictions_loss: 22.1107 - logcount_predictions_loss: 0.4458 16/38 [===========>..................] - ETA: 15s - loss: 22.5466 - logits_profile_predictions_loss: 22.1045 - logcount_predictions_loss: 0.4421 17/38 [============>.................] - ETA: 14s - loss: 22.5268 - logits_profile_predictions_loss: 22.0892 - logcount_predictions_loss: 0.4377 18/38 [=============>................] - ETA: 13s - loss: 22.5980 - logits_profile_predictions_loss: 22.1548 - logcount_predictions_loss: 0.4432 19/38 [==============>...............] - ETA: 13s - loss: 22.5652 - logits_profile_predictions_loss: 22.1235 - logcount_predictions_loss: 0.4417 20/38 [==============>...............] - ETA: 12s - loss: 22.4431 - logits_profile_predictions_loss: 22.0075 - logcount_predictions_loss: 0.4356 21/38 [===============>..............] - ETA: 12s - loss: 22.4085 - logits_profile_predictions_loss: 21.9760 - logcount_predictions_loss: 0.4325 22/38 [================>.............] - ETA: 11s - loss: 22.4859 - logits_profile_predictions_loss: 22.0513 - logcount_predictions_loss: 0.4345 23/38 [=================>............] - ETA: 10s - loss: 22.4164 - logits_profile_predictions_loss: 21.9838 - logcount_predictions_loss: 0.4326 24/38 [=================>............] - ETA: 9s - loss: 22.4584 - logits_profile_predictions_loss: 22.0234 - logcount_predictions_loss: 0.4350  25/38 [==================>...........] - ETA: 9s - loss: 22.5234 - logits_profile_predictions_loss: 22.0852 - logcount_predictions_loss: 0.4383 26/38 [===================>..........] - ETA: 8s - loss: 22.4135 - logits_profile_predictions_loss: 21.9794 - logcount_predictions_loss: 0.4341 27/38 [====================>.........] - ETA: 7s - loss: 22.4423 - logits_profile_predictions_loss: 22.0072 - logcount_predictions_loss: 0.4351 28/38 [=====================>........] - ETA: 7s - loss: 22.4708 - logits_profile_predictions_loss: 22.0352 - logcount_predictions_loss: 0.4356 29/38 [=====================>........] - ETA: 6s - loss: 22.4380 - logits_profile_predictions_loss: 22.0042 - logcount_predictions_loss: 0.4338 30/38 [======================>.......] - ETA: 5s - loss: 22.4072 - logits_profile_predictions_loss: 21.9769 - logcount_predictions_loss: 0.4303 31/38 [=======================>......] - ETA: 5s - loss: 22.3731 - logits_profile_predictions_loss: 21.9418 - logcount_predictions_loss: 0.4313 32/38 [========================>.....] - ETA: 4s - loss: 22.3690 - logits_profile_predictions_loss: 21.9378 - logcount_predictions_loss: 0.4312 33/38 [=========================>....] - ETA: 3s - loss: 22.3533 - logits_profile_predictions_loss: 21.9238 - logcount_predictions_loss: 0.4295 34/38 [=========================>....] - ETA: 2s - loss: 22.3148 - logits_profile_predictions_loss: 21.8844 - logcount_predictions_loss: 0.4304 35/38 [==========================>...] - ETA: 2s - loss: 22.3562 - logits_profile_predictions_loss: 21.9242 - logcount_predictions_loss: 0.4319 36/38 [===========================>..] - ETA: 1s - loss: 22.3555 - logits_profile_predictions_loss: 21.9244 - logcount_predictions_loss: 0.4310 37/38 [============================>.] - ETA: 0s - loss: 22.3555 - logits_profile_predictions_loss: 21.9257 - logcount_predictions_loss: 0.4298 38/38 [==============================] - ETA: 0s - loss: 22.3556 - logits_profile_predictions_loss: 21.9257 - logcount_predictions_loss: 0.4299 Epoch 4: val_loss improved from 24.98324 to 24.96035, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.adipocyte.In/fold_1/models/chrombpnet.h5  38/38 [==============================] - 31s 811ms/step - loss: 22.3556 - logits_profile_predictions_loss: 21.9257 - logcount_predictions_loss: 0.4299 - val_loss: 24.9604 - val_logits_profile_predictions_loss: 24.4524 - val_logcount_predictions_loss: 0.5079 Epoch 5/50 1/38 [..............................] - ETA: 27s - loss: 21.4594 - logits_profile_predictions_loss: 21.0481 - logcount_predictions_loss: 0.4112 2/38 [>.............................] - ETA: 26s - loss: 22.4022 - logits_profile_predictions_loss: 21.9494 - logcount_predictions_loss: 0.4528 3/38 [=>............................] - ETA: 25s - loss: 22.3063 - logits_profile_predictions_loss: 21.8624 - logcount_predictions_loss: 0.4439 4/38 [==>...........................] - ETA: 24s - loss: 22.0885 - logits_profile_predictions_loss: 21.6722 - logcount_predictions_loss: 0.4163 5/38 [==>...........................] - ETA: 23s - loss: 22.0039 - logits_profile_predictions_loss: 21.5897 - logcount_predictions_loss: 0.4142 6/38 [===>..........................] - ETA: 23s - loss: 21.9627 - logits_profile_predictions_loss: 21.5573 - logcount_predictions_loss: 0.4054 7/38 [====>.........................] - ETA: 22s - loss: 21.7802 - logits_profile_predictions_loss: 21.3841 - logcount_predictions_loss: 0.3961 8/38 [=====>........................] - ETA: 18s - loss: 21.7613 - logits_profile_predictions_loss: 21.3674 - logcount_predictions_loss: 0.3938 9/38 [======>.......................] - ETA: 18s - loss: 22.0432 - logits_profile_predictions_loss: 21.6328 - logcount_predictions_loss: 0.4105 10/38 [======>.......................] - ETA: 18s - loss: 22.0677 - logits_profile_predictions_loss: 21.6569 - logcount_predictions_loss: 0.4108 11/38 [=======>......................] - ETA: 17s - loss: 21.8997 - logits_profile_predictions_loss: 21.4898 - logcount_predictions_loss: 0.4099 12/38 [========>.....................] - ETA: 17s - loss: 21.9899 - logits_profile_predictions_loss: 21.5735 - logcount_predictions_loss: 0.4164 13/38 [=========>....................] - ETA: 17s - loss: 22.0243 - logits_profile_predictions_loss: 21.6062 - logcount_predictions_loss: 0.4182 14/38 [==========>...................] - ETA: 16s - loss: 22.1808 - logits_profile_predictions_loss: 21.7574 - logcount_predictions_loss: 0.4234 15/38 [==========>...................] - ETA: 15s - loss: 22.2916 - logits_profile_predictions_loss: 21.8637 - logcount_predictions_loss: 0.4278 16/38 [===========>..................] - ETA: 15s - loss: 22.2329 - logits_profile_predictions_loss: 21.8065 - logcount_predictions_loss: 0.4264 17/38 [============>.................] - ETA: 14s - loss: 22.3160 - logits_profile_predictions_loss: 21.8859 - logcount_predictions_loss: 0.4300 18/38 [=============>................] - ETA: 13s - loss: 22.3681 - logits_profile_predictions_loss: 21.9346 - logcount_predictions_loss: 0.4334 19/38 [==============>...............] - ETA: 13s - loss: 22.4299 - logits_profile_predictions_loss: 21.9980 - logcount_predictions_loss: 0.4319 20/38 [==============>...............] - ETA: 12s - loss: 22.3880 - logits_profile_predictions_loss: 21.9585 - logcount_predictions_loss: 0.4295 21/38 [===============>..............] - ETA: 12s - loss: 22.3039 - logits_profile_predictions_loss: 21.8787 - logcount_predictions_loss: 0.4252 22/38 [================>.............] - ETA: 11s - loss: 22.2626 - logits_profile_predictions_loss: 21.8412 - logcount_predictions_loss: 0.4215 23/38 [=================>............] - ETA: 10s - loss: 22.2254 - logits_profile_predictions_loss: 21.8059 - logcount_predictions_loss: 0.4195 24/38 [=================>............] - ETA: 10s - loss: 22.2249 - logits_profile_predictions_loss: 21.8061 - logcount_predictions_loss: 0.4188 25/38 [==================>...........] - ETA: 9s - loss: 22.1630 - logits_profile_predictions_loss: 21.7473 - logcount_predictions_loss: 0.4157  26/38 [===================>..........] - ETA: 8s - loss: 22.1330 - logits_profile_predictions_loss: 21.7152 - logcount_predictions_loss: 0.4178 27/38 [====================>.........] - ETA: 8s - loss: 22.0825 - logits_profile_predictions_loss: 21.6662 - logcount_predictions_loss: 0.4162 28/38 [=====================>........] - ETA: 7s - loss: 22.0719 - logits_profile_predictions_loss: 21.6556 - logcount_predictions_loss: 0.4163 29/38 [=====================>........] - ETA: 6s - loss: 22.0605 - logits_profile_predictions_loss: 21.6457 - logcount_predictions_loss: 0.4148 30/38 [======================>.......] - ETA: 5s - loss: 22.0545 - logits_profile_predictions_loss: 21.6416 - logcount_predictions_loss: 0.4129 31/38 [=======================>......] - ETA: 5s - loss: 22.0698 - logits_profile_predictions_loss: 21.6558 - logcount_predictions_loss: 0.4140 32/38 [========================>.....] - ETA: 4s - loss: 22.1220 - logits_profile_predictions_loss: 21.7050 - logcount_predictions_loss: 0.4170 33/38 [=========================>....] - ETA: 3s - loss: 22.0569 - logits_profile_predictions_loss: 21.6411 - logcount_predictions_loss: 0.4159 34/38 [=========================>....] - ETA: 2s - loss: 22.0855 - logits_profile_predictions_loss: 21.6655 - logcount_predictions_loss: 0.4200 35/38 [==========================>...] - ETA: 2s - loss: 22.1075 - logits_profile_predictions_loss: 21.6876 - logcount_predictions_loss: 0.4199 36/38 [===========================>..] - ETA: 1s - loss: 22.1378 - logits_profile_predictions_loss: 21.7172 - logcount_predictions_loss: 0.4206 37/38 [============================>.] - ETA: 0s - loss: 22.1013 - logits_profile_predictions_loss: 21.6826 - logcount_predictions_loss: 0.4186 38/38 [==============================] - ETA: 0s - loss: 22.0841 - logits_profile_predictions_loss: 21.6649 - logcount_predictions_loss: 0.4192 Epoch 5: val_loss improved from 24.96035 to 24.86979, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.adipocyte.In/fold_1/models/chrombpnet.h5  38/38 [==============================] - 32s 834ms/step - loss: 22.0841 - logits_profile_predictions_loss: 21.6649 - logcount_predictions_loss: 0.4192 - val_loss: 24.8698 - val_logits_profile_predictions_loss: 24.3619 - val_logcount_predictions_loss: 0.5079 Epoch 6/50 1/38 [..............................] - ETA: 27s - loss: 23.0369 - logits_profile_predictions_loss: 22.6307 - logcount_predictions_loss: 0.4062 2/38 [>.............................] - ETA: 26s - loss: 22.8607 - logits_profile_predictions_loss: 22.4168 - logcount_predictions_loss: 0.4438 3/38 [=>............................] - ETA: 25s - loss: 22.4127 - logits_profile_predictions_loss: 21.9783 - logcount_predictions_loss: 0.4344 4/38 [==>...........................] - ETA: 24s - loss: 22.2789 - logits_profile_predictions_loss: 21.8454 - logcount_predictions_loss: 0.4334 5/38 [==>...........................] - ETA: 23s - loss: 21.9683 - logits_profile_predictions_loss: 21.5507 - logcount_predictions_loss: 0.4176 6/38 [===>..........................] - ETA: 23s - loss: 21.8329 - logits_profile_predictions_loss: 21.4234 - logcount_predictions_loss: 0.4095 7/38 [====>.........................] - ETA: 22s - loss: 21.8780 - logits_profile_predictions_loss: 21.4649 - logcount_predictions_loss: 0.4131 8/38 [=====>........................] - ETA: 21s - loss: 21.8619 - logits_profile_predictions_loss: 21.4538 - logcount_predictions_loss: 0.4081 9/38 [======>.......................] - ETA: 21s - loss: 21.8794 - logits_profile_predictions_loss: 21.4691 - logcount_predictions_loss: 0.4103 10/38 [======>.......................] - ETA: 20s - loss: 21.8036 - logits_profile_predictions_loss: 21.3957 - logcount_predictions_loss: 0.4079 11/38 [=======>......................] - ETA: 17s - loss: 21.8246 - logits_profile_predictions_loss: 21.4143 - logcount_predictions_loss: 0.4102 12/38 [========>.....................] - ETA: 17s - loss: 21.7592 - logits_profile_predictions_loss: 21.3505 - logcount_predictions_loss: 0.4087 13/38 [=========>....................] - ETA: 16s - loss: 21.7855 - logits_profile_predictions_loss: 21.3764 - logcount_predictions_loss: 0.4091 14/38 [==========>...................] - ETA: 16s - loss: 21.8959 - logits_profile_predictions_loss: 21.4806 - logcount_predictions_loss: 0.4154 15/38 [==========>...................] - ETA: 15s - loss: 21.8076 - logits_profile_predictions_loss: 21.3995 - logcount_predictions_loss: 0.4081 16/38 [===========>..................] - ETA: 15s - loss: 21.9300 - logits_profile_predictions_loss: 21.5157 - logcount_predictions_loss: 0.4143 17/38 [============>.................] - ETA: 14s - loss: 21.8881 - logits_profile_predictions_loss: 21.4756 - logcount_predictions_loss: 0.4125 18/38 [=============>................] - ETA: 13s - loss: 21.8177 - logits_profile_predictions_loss: 21.4092 - logcount_predictions_loss: 0.4086 19/38 [==============>...............] - ETA: 13s - loss: 21.9454 - logits_profile_predictions_loss: 21.5277 - logcount_predictions_loss: 0.4177 20/38 [==============>...............] - ETA: 12s - loss: 21.9353 - logits_profile_predictions_loss: 21.5175 - logcount_predictions_loss: 0.4179 21/38 [===============>..............] - ETA: 11s - loss: 22.0099 - logits_profile_predictions_loss: 21.5876 - logcount_predictions_loss: 0.4223 22/38 [================>.............] - ETA: 11s - loss: 22.0087 - logits_profile_predictions_loss: 21.5845 - logcount_predictions_loss: 0.4242 23/38 [=================>............] - ETA: 10s - loss: 22.0577 - logits_profile_predictions_loss: 21.6329 - logcount_predictions_loss: 0.4248 24/38 [=================>............] - ETA: 9s - loss: 22.0089 - logits_profile_predictions_loss: 21.5851 - logcount_predictions_loss: 0.4238  25/38 [==================>...........] - ETA: 9s - loss: 21.9537 - logits_profile_predictions_loss: 21.5318 - logcount_predictions_loss: 0.4219 26/38 [===================>..........] - ETA: 8s - loss: 21.9626 - logits_profile_predictions_loss: 21.5394 - logcount_predictions_loss: 0.4232 27/38 [====================>.........] - ETA: 7s - loss: 21.9659 - logits_profile_predictions_loss: 21.5435 - logcount_predictions_loss: 0.4224 28/38 [=====================>........] - ETA: 7s - loss: 21.9902 - logits_profile_predictions_loss: 21.5673 - logcount_predictions_loss: 0.4228 29/38 [=====================>........] - ETA: 6s - loss: 21.9193 - logits_profile_predictions_loss: 21.4998 - logcount_predictions_loss: 0.4195 30/38 [======================>.......] - ETA: 5s - loss: 21.8877 - logits_profile_predictions_loss: 21.4708 - logcount_predictions_loss: 0.4169 31/38 [=======================>......] - ETA: 5s - loss: 21.8420 - logits_profile_predictions_loss: 21.4286 - logcount_predictions_loss: 0.4134 32/38 [========================>.....] - ETA: 4s - loss: 21.8875 - logits_profile_predictions_loss: 21.4716 - logcount_predictions_loss: 0.4159 33/38 [=========================>....] - ETA: 3s - loss: 21.9157 - logits_profile_predictions_loss: 21.4971 - logcount_predictions_loss: 0.4186 34/38 [=========================>....] - ETA: 2s - loss: 21.8697 - logits_profile_predictions_loss: 21.4521 - logcount_predictions_loss: 0.4176 35/38 [==========================>...] - ETA: 2s - loss: 21.8691 - logits_profile_predictions_loss: 21.4522 - logcount_predictions_loss: 0.4169 36/38 [===========================>..] - ETA: 1s - loss: 21.9148 - logits_profile_predictions_loss: 21.4981 - logcount_predictions_loss: 0.4168 37/38 [============================>.] - ETA: 0s - loss: 21.9215 - logits_profile_predictions_loss: 21.5040 - logcount_predictions_loss: 0.4175 38/38 [==============================] - ETA: 0s - loss: 21.9530 - logits_profile_predictions_loss: 21.5319 - logcount_predictions_loss: 0.4211 Epoch 6: val_loss improved from 24.86979 to 24.81883, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.adipocyte.In/fold_1/models/chrombpnet.h5  38/38 [==============================] - 31s 808ms/step - loss: 21.9530 - logits_profile_predictions_loss: 21.5319 - logcount_predictions_loss: 0.4211 - val_loss: 24.8188 - val_logits_profile_predictions_loss: 24.3109 - val_logcount_predictions_loss: 0.5079 Epoch 7/50 1/38 [..............................] - ETA: 27s - loss: 21.2931 - logits_profile_predictions_loss: 20.8219 - logcount_predictions_loss: 0.4712 2/38 [>.............................] - ETA: 25s - loss: 21.6217 - logits_profile_predictions_loss: 21.1557 - logcount_predictions_loss: 0.4660 3/38 [=>............................] - ETA: 25s - loss: 21.7104 - logits_profile_predictions_loss: 21.2560 - logcount_predictions_loss: 0.4545 4/38 [==>...........................] - ETA: 24s - loss: 22.0442 - logits_profile_predictions_loss: 21.5806 - logcount_predictions_loss: 0.4636 5/38 [==>...........................] - ETA: 23s - loss: 22.1226 - logits_profile_predictions_loss: 21.6645 - logcount_predictions_loss: 0.4581 6/38 [===>..........................] - ETA: 23s - loss: 22.0206 - logits_profile_predictions_loss: 21.5791 - logcount_predictions_loss: 0.4416 7/38 [====>.........................] - ETA: 22s - loss: 22.1239 - logits_profile_predictions_loss: 21.6933 - logcount_predictions_loss: 0.4305 8/38 [=====>........................] - ETA: 21s - loss: 22.2362 - logits_profile_predictions_loss: 21.8032 - logcount_predictions_loss: 0.4330 9/38 [======>.......................] - ETA: 21s - loss: 22.3687 - logits_profile_predictions_loss: 21.9265 - logcount_predictions_loss: 0.4422 10/38 [======>.......................] - ETA: 20s - loss: 22.2549 - logits_profile_predictions_loss: 21.8152 - logcount_predictions_loss: 0.4397 11/38 [=======>......................] - ETA: 19s - loss: 22.2863 - logits_profile_predictions_loss: 21.8442 - logcount_predictions_loss: 0.4421 12/38 [========>.....................] - ETA: 19s - loss: 22.2635 - logits_profile_predictions_loss: 21.8182 - logcount_predictions_loss: 0.4452 13/38 [=========>....................] - ETA: 18s - loss: 22.1686 - logits_profile_predictions_loss: 21.7282 - logcount_predictions_loss: 0.4404 14/38 [==========>...................] - ETA: 17s - loss: 22.1850 - logits_profile_predictions_loss: 21.7427 - logcount_predictions_loss: 0.4424 15/38 [==========>...................] - ETA: 16s - loss: 22.0693 - logits_profile_predictions_loss: 21.6356 - logcount_predictions_loss: 0.4337 16/38 [===========>..................] - ETA: 16s - loss: 22.0789 - logits_profile_predictions_loss: 21.6442 - logcount_predictions_loss: 0.4347 17/38 [============>.................] - ETA: 15s - loss: 22.0746 - logits_profile_predictions_loss: 21.6371 - logcount_predictions_loss: 0.4374 18/38 [=============>................] - ETA: 14s - loss: 22.1930 - logits_profile_predictions_loss: 21.7526 - logcount_predictions_loss: 0.4403 19/38 [==============>...............] - ETA: 14s - loss: 22.1115 - logits_profile_predictions_loss: 21.6720 - logcount_predictions_loss: 0.4396 20/38 [==============>...............] - ETA: 13s - loss: 22.0756 - logits_profile_predictions_loss: 21.6386 - logcount_predictions_loss: 0.4370 21/38 [===============>..............] - ETA: 12s - loss: 22.1095 - logits_profile_predictions_loss: 21.6725 - logcount_predictions_loss: 0.4370 22/38 [================>.............] - ETA: 11s - loss: 22.1033 - logits_profile_predictions_loss: 21.6635 - logcount_predictions_loss: 0.4398 23/38 [=================>............] - ETA: 11s - loss: 22.0968 - logits_profile_predictions_loss: 21.6594 - logcount_predictions_loss: 0.4374 24/38 [=================>............] - ETA: 10s - loss: 22.0384 - logits_profile_predictions_loss: 21.6045 - logcount_predictions_loss: 0.4338 25/38 [==================>...........] - ETA: 9s - loss: 22.0664 - logits_profile_predictions_loss: 21.6329 - logcount_predictions_loss: 0.4335  26/38 [===================>..........] - ETA: 8s - loss: 22.0112 - logits_profile_predictions_loss: 21.5802 - logcount_predictions_loss: 0.4309 27/38 [====================>.........] - ETA: 8s - loss: 22.0125 - logits_profile_predictions_loss: 21.5819 - logcount_predictions_loss: 0.4305 28/38 [=====================>........] - ETA: 7s - loss: 22.0363 - logits_profile_predictions_loss: 21.6038 - logcount_predictions_loss: 0.4325 29/38 [=====================>........] - ETA: 6s - loss: 22.0439 - logits_profile_predictions_loss: 21.6091 - logcount_predictions_loss: 0.4348 30/38 [======================>.......] - ETA: 5s - loss: 22.0389 - logits_profile_predictions_loss: 21.6075 - logcount_predictions_loss: 0.4315 31/38 [=======================>......] - ETA: 5s - loss: 21.9985 - logits_profile_predictions_loss: 21.5674 - logcount_predictions_loss: 0.4311 32/38 [========================>.....] - ETA: 4s - loss: 22.0197 - logits_profile_predictions_loss: 21.5871 - logcount_predictions_loss: 0.4327 33/38 [=========================>....] - ETA: 3s - loss: 21.9768 - logits_profile_predictions_loss: 21.5480 - logcount_predictions_loss: 0.4288 34/38 [=========================>....] - ETA: 3s - loss: 21.9336 - logits_profile_predictions_loss: 21.5042 - logcount_predictions_loss: 0.4294 35/38 [==========================>...] - ETA: 2s - loss: 21.9424 - logits_profile_predictions_loss: 21.5134 - logcount_predictions_loss: 0.4291 36/38 [===========================>..] - ETA: 1s - loss: 21.9760 - logits_profile_predictions_loss: 21.5454 - logcount_predictions_loss: 0.4306 37/38 [============================>.] - ETA: 0s - loss: 21.9920 - logits_profile_predictions_loss: 21.5603 - logcount_predictions_loss: 0.4317 38/38 [==============================] - ETA: 0s - loss: 22.0044 - logits_profile_predictions_loss: 21.5735 - logcount_predictions_loss: 0.4309 Epoch 7: val_loss did not improve from 24.81883  38/38 [==============================] - 31s 811ms/step - loss: 22.0044 - logits_profile_predictions_loss: 21.5735 - logcount_predictions_loss: 0.4309 - val_loss: 25.0077 - val_logits_profile_predictions_loss: 24.4999 - val_logcount_predictions_loss: 0.5079 Epoch 8/50 1/38 [..............................] - ETA: 27s - loss: 22.6395 - logits_profile_predictions_loss: 22.2422 - logcount_predictions_loss: 0.3973 2/38 [>.............................] - ETA: 26s - loss: 21.1410 - logits_profile_predictions_loss: 20.7775 - logcount_predictions_loss: 0.3635 3/38 [=>............................] - ETA: 25s - loss: 21.8053 - logits_profile_predictions_loss: 21.4150 - logcount_predictions_loss: 0.3904 4/38 [==>...........................] - ETA: 24s - loss: 21.4100 - logits_profile_predictions_loss: 21.0285 - logcount_predictions_loss: 0.3815 5/38 [==>...........................] - ETA: 23s - loss: 21.6099 - logits_profile_predictions_loss: 21.2158 - logcount_predictions_loss: 0.3941 6/38 [===>..........................] - ETA: 23s - loss: 21.3523 - logits_profile_predictions_loss: 20.9701 - logcount_predictions_loss: 0.3822 7/38 [====>.........................] - ETA: 22s - loss: 21.3817 - logits_profile_predictions_loss: 20.9995 - logcount_predictions_loss: 0.3821 8/38 [=====>........................] - ETA: 21s - loss: 21.4701 - logits_profile_predictions_loss: 21.0828 - logcount_predictions_loss: 0.3873 9/38 [======>.......................] - ETA: 21s - loss: 21.3857 - logits_profile_predictions_loss: 20.9955 - logcount_predictions_loss: 0.3902 10/38 [======>.......................] - ETA: 20s - loss: 21.4276 - logits_profile_predictions_loss: 21.0294 - logcount_predictions_loss: 0.3982 11/38 [=======>......................] - ETA: 19s - loss: 21.5003 - logits_profile_predictions_loss: 21.0990 - logcount_predictions_loss: 0.4013 12/38 [========>.....................] - ETA: 18s - loss: 21.5247 - logits_profile_predictions_loss: 21.1255 - logcount_predictions_loss: 0.3992 13/38 [=========>....................] - ETA: 18s - loss: 21.4915 - logits_profile_predictions_loss: 21.0895 - logcount_predictions_loss: 0.4020 14/38 [==========>...................] - ETA: 17s - loss: 21.4350 - logits_profile_predictions_loss: 21.0358 - logcount_predictions_loss: 0.3992 15/38 [==========>...................] - ETA: 16s - loss: 21.3538 - logits_profile_predictions_loss: 20.9547 - logcount_predictions_loss: 0.3991 16/38 [===========>..................] - ETA: 16s - loss: 21.3683 - logits_profile_predictions_loss: 20.9688 - logcount_predictions_loss: 0.3994 17/38 [============>.................] - ETA: 15s - loss: 21.4500 - logits_profile_predictions_loss: 21.0485 - logcount_predictions_loss: 0.4015 18/38 [=============>................] - ETA: 14s - loss: 21.5689 - logits_profile_predictions_loss: 21.1613 - logcount_predictions_loss: 0.4076 19/38 [==============>...............] - ETA: 13s - loss: 21.5564 - logits_profile_predictions_loss: 21.1491 - logcount_predictions_loss: 0.4073 20/38 [==============>...............] - ETA: 12s - loss: 21.4191 - logits_profile_predictions_loss: 21.0176 - logcount_predictions_loss: 0.4015 21/38 [===============>..............] - ETA: 11s - loss: 21.4926 - logits_profile_predictions_loss: 21.0875 - logcount_predictions_loss: 0.4051 22/38 [================>.............] - ETA: 11s - loss: 21.5690 - logits_profile_predictions_loss: 21.1587 - logcount_predictions_loss: 0.4104 23/38 [=================>............] - ETA: 10s - loss: 21.5856 - logits_profile_predictions_loss: 21.1752 - logcount_predictions_loss: 0.4104 24/38 [=================>............] - ETA: 9s - loss: 21.5876 - logits_profile_predictions_loss: 21.1786 - logcount_predictions_loss: 0.4090  25/38 [==================>...........] - ETA: 9s - loss: 21.6690 - logits_profile_predictions_loss: 21.2572 - logcount_predictions_loss: 0.4118 26/38 [===================>..........] - ETA: 8s - loss: 21.7888 - logits_profile_predictions_loss: 21.3713 - logcount_predictions_loss: 0.4176 27/38 [====================>.........] - ETA: 7s - loss: 21.7974 - logits_profile_predictions_loss: 21.3785 - logcount_predictions_loss: 0.4189 28/38 [=====================>........] - ETA: 7s - loss: 21.8151 - logits_profile_predictions_loss: 21.3959 - logcount_predictions_loss: 0.4192 29/38 [=====================>........] - ETA: 6s - loss: 21.8311 - logits_profile_predictions_loss: 21.4115 - logcount_predictions_loss: 0.4196 30/38 [======================>.......] - ETA: 5s - loss: 21.8772 - logits_profile_predictions_loss: 21.4554 - logcount_predictions_loss: 0.4219 31/38 [=======================>......] - ETA: 5s - loss: 21.8689 - logits_profile_predictions_loss: 21.4480 - logcount_predictions_loss: 0.4209 32/38 [========================>.....] - ETA: 4s - loss: 21.8337 - logits_profile_predictions_loss: 21.4143 - logcount_predictions_loss: 0.4194 33/38 [=========================>....] - ETA: 3s - loss: 21.8459 - logits_profile_predictions_loss: 21.4245 - logcount_predictions_loss: 0.4214 34/38 [=========================>....] - ETA: 2s - loss: 21.9237 - logits_profile_predictions_loss: 21.4983 - logcount_predictions_loss: 0.4255 35/38 [==========================>...] - ETA: 2s - loss: 21.9290 - logits_profile_predictions_loss: 21.5040 - logcount_predictions_loss: 0.4250 36/38 [===========================>..] - ETA: 1s - loss: 21.9292 - logits_profile_predictions_loss: 21.5037 - logcount_predictions_loss: 0.4255 37/38 [============================>.] - ETA: 0s - loss: 21.9519 - logits_profile_predictions_loss: 21.5266 - logcount_predictions_loss: 0.4253 38/38 [==============================] - ETA: 0s - loss: 21.9294 - logits_profile_predictions_loss: 21.5055 - logcount_predictions_loss: 0.4238 Epoch 8: val_loss did not improve from 24.81883  38/38 [==============================] - 31s 811ms/step - loss: 21.9294 - logits_profile_predictions_loss: 21.5055 - logcount_predictions_loss: 0.4238 - val_loss: 24.9030 - val_logits_profile_predictions_loss: 24.3952 - val_logcount_predictions_loss: 0.5078 Epoch 9/50 1/38 [..............................] - ETA: 26s - loss: 21.4679 - logits_profile_predictions_loss: 21.0321 - logcount_predictions_loss: 0.4358 2/38 [>.............................] - ETA: 25s - loss: 21.1981 - logits_profile_predictions_loss: 20.7993 - logcount_predictions_loss: 0.3988 3/38 [=>............................] - ETA: 25s - loss: 21.2885 - logits_profile_predictions_loss: 20.8868 - logcount_predictions_loss: 0.4016 4/38 [==>...........................] - ETA: 24s - loss: 21.2180 - logits_profile_predictions_loss: 20.8096 - logcount_predictions_loss: 0.4085 5/38 [==>...........................] - ETA: 23s - loss: 21.4440 - logits_profile_predictions_loss: 21.0258 - logcount_predictions_loss: 0.4182 6/38 [===>..........................] - ETA: 23s - loss: 21.5479 - logits_profile_predictions_loss: 21.1243 - logcount_predictions_loss: 0.4236 7/38 [====>.........................] - ETA: 22s - loss: 21.5208 - logits_profile_predictions_loss: 21.0840 - logcount_predictions_loss: 0.4368 8/38 [=====>........................] - ETA: 21s - loss: 21.3731 - logits_profile_predictions_loss: 20.9456 - logcount_predictions_loss: 0.4275 9/38 [======>.......................] - ETA: 21s - loss: 21.4582 - logits_profile_predictions_loss: 21.0334 - logcount_predictions_loss: 0.4248 10/38 [======>.......................] - ETA: 20s - loss: 21.3657 - logits_profile_predictions_loss: 20.9480 - logcount_predictions_loss: 0.4177 11/38 [=======>......................] - ETA: 19s - loss: 21.5093 - logits_profile_predictions_loss: 21.0858 - logcount_predictions_loss: 0.4236 12/38 [========>.....................] - ETA: 19s - loss: 21.4651 - logits_profile_predictions_loss: 21.0388 - logcount_predictions_loss: 0.4263 13/38 [=========>....................] - ETA: 18s - loss: 21.4884 - logits_profile_predictions_loss: 21.0618 - logcount_predictions_loss: 0.4265 14/38 [==========>...................] - ETA: 17s - loss: 21.4273 - logits_profile_predictions_loss: 21.0065 - logcount_predictions_loss: 0.4207 15/38 [==========>...................] - ETA: 17s - loss: 21.2713 - logits_profile_predictions_loss: 20.8579 - logcount_predictions_loss: 0.4134 16/38 [===========>..................] - ETA: 16s - loss: 21.2403 - logits_profile_predictions_loss: 20.8288 - logcount_predictions_loss: 0.4115 17/38 [============>.................] - ETA: 15s - loss: 21.1940 - logits_profile_predictions_loss: 20.7838 - logcount_predictions_loss: 0.4102 18/38 [=============>................] - ETA: 14s - loss: 21.2516 - logits_profile_predictions_loss: 20.8410 - logcount_predictions_loss: 0.4106 19/38 [==============>...............] - ETA: 14s - loss: 21.2971 - logits_profile_predictions_loss: 20.8859 - logcount_predictions_loss: 0.4112 20/38 [==============>...............] - ETA: 13s - loss: 21.3930 - logits_profile_predictions_loss: 20.9811 - logcount_predictions_loss: 0.4119 21/38 [===============>..............] - ETA: 12s - loss: 21.4679 - logits_profile_predictions_loss: 21.0501 - logcount_predictions_loss: 0.4178 22/38 [================>.............] - ETA: 11s - loss: 21.4419 - logits_profile_predictions_loss: 21.0237 - logcount_predictions_loss: 0.4181 23/38 [=================>............] - ETA: 11s - loss: 21.5202 - logits_profile_predictions_loss: 21.0972 - logcount_predictions_loss: 0.4230 24/38 [=================>............] - ETA: 10s - loss: 21.5415 - logits_profile_predictions_loss: 21.1169 - logcount_predictions_loss: 0.4246 25/38 [==================>...........] - ETA: 9s - loss: 21.6078 - logits_profile_predictions_loss: 21.1808 - logcount_predictions_loss: 0.4270  26/38 [===================>..........] - ETA: 8s - loss: 21.6475 - logits_profile_predictions_loss: 21.2164 - logcount_predictions_loss: 0.4311 27/38 [====================>.........] - ETA: 8s - loss: 21.6733 - logits_profile_predictions_loss: 21.2419 - logcount_predictions_loss: 0.4314 28/38 [=====================>........] - ETA: 7s - loss: 21.6779 - logits_profile_predictions_loss: 21.2491 - logcount_predictions_loss: 0.4289 29/38 [=====================>........] - ETA: 6s - loss: 21.7680 - logits_profile_predictions_loss: 21.3370 - logcount_predictions_loss: 0.4310 30/38 [======================>.......] - ETA: 5s - loss: 21.8368 - logits_profile_predictions_loss: 21.4040 - logcount_predictions_loss: 0.4328 31/38 [=======================>......] - ETA: 5s - loss: 21.8425 - logits_profile_predictions_loss: 21.4124 - logcount_predictions_loss: 0.4301 32/38 [========================>.....] - ETA: 4s - loss: 21.8248 - logits_profile_predictions_loss: 21.3948 - logcount_predictions_loss: 0.4299 33/38 [=========================>....] - ETA: 3s - loss: 21.8306 - logits_profile_predictions_loss: 21.4019 - logcount_predictions_loss: 0.4287 34/38 [=========================>....] - ETA: 3s - loss: 21.8336 - logits_profile_predictions_loss: 21.4054 - logcount_predictions_loss: 0.4282 35/38 [==========================>...] - ETA: 2s - loss: 21.8470 - logits_profile_predictions_loss: 21.4183 - logcount_predictions_loss: 0.4286 36/38 [===========================>..] - ETA: 1s - loss: 21.8074 - logits_profile_predictions_loss: 21.3812 - logcount_predictions_loss: 0.4261 37/38 [============================>.] - ETA: 0s - loss: 21.8919 - logits_profile_predictions_loss: 21.4636 - logcount_predictions_loss: 0.4283 38/38 [==============================] - ETA: 0s - loss: 21.8934 - logits_profile_predictions_loss: 21.4652 - logcount_predictions_loss: 0.4282 Epoch 9: val_loss did not improve from 24.81883  38/38 [==============================] - 31s 814ms/step - loss: 21.8934 - logits_profile_predictions_loss: 21.4652 - logcount_predictions_loss: 0.4282 - val_loss: 24.9102 - val_logits_profile_predictions_loss: 24.4023 - val_logcount_predictions_loss: 0.5079 Epoch 10/50 1/38 [..............................] - ETA: 26s - loss: 22.0787 - logits_profile_predictions_loss: 21.6425 - logcount_predictions_loss: 0.4362 2/38 [>.............................] - ETA: 25s - loss: 21.5657 - logits_profile_predictions_loss: 21.1619 - logcount_predictions_loss: 0.4038 3/38 [=>............................] - ETA: 25s - loss: 21.5022 - logits_profile_predictions_loss: 21.0847 - logcount_predictions_loss: 0.4176 4/38 [==>...........................] - ETA: 24s - loss: 21.4789 - logits_profile_predictions_loss: 21.0713 - logcount_predictions_loss: 0.4076 5/38 [==>...........................] - ETA: 23s - loss: 21.1503 - logits_profile_predictions_loss: 20.7534 - logcount_predictions_loss: 0.3969 6/38 [===>..........................] - ETA: 23s - loss: 20.9806 - logits_profile_predictions_loss: 20.5879 - logcount_predictions_loss: 0.3927 7/38 [====>.........................] - ETA: 22s - loss: 20.9369 - logits_profile_predictions_loss: 20.5400 - logcount_predictions_loss: 0.3969 8/38 [=====>........................] - ETA: 21s - loss: 20.9975 - logits_profile_predictions_loss: 20.5975 - logcount_predictions_loss: 0.4000 9/38 [======>.......................] - ETA: 21s - loss: 21.0174 - logits_profile_predictions_loss: 20.6085 - logcount_predictions_loss: 0.4089 10/38 [======>.......................] - ETA: 20s - loss: 21.2226 - logits_profile_predictions_loss: 20.8157 - logcount_predictions_loss: 0.4068 11/38 [=======>......................] - ETA: 19s - loss: 21.4034 - logits_profile_predictions_loss: 20.9921 - logcount_predictions_loss: 0.4113 12/38 [========>.....................] - ETA: 19s - loss: 21.4857 - logits_profile_predictions_loss: 21.0677 - logcount_predictions_loss: 0.4180 13/38 [=========>....................] - ETA: 18s - loss: 21.5491 - logits_profile_predictions_loss: 21.1292 - logcount_predictions_loss: 0.4199 14/38 [==========>...................] - ETA: 17s - loss: 21.5713 - logits_profile_predictions_loss: 21.1510 - logcount_predictions_loss: 0.4203 15/38 [==========>...................] - ETA: 16s - loss: 21.5992 - logits_profile_predictions_loss: 21.1812 - logcount_predictions_loss: 0.4180 16/38 [===========>..................] - ETA: 16s - loss: 21.5693 - logits_profile_predictions_loss: 21.1542 - logcount_predictions_loss: 0.4150 17/38 [============>.................] - ETA: 15s - loss: 21.6011 - logits_profile_predictions_loss: 21.1867 - logcount_predictions_loss: 0.4144 18/38 [=============>................] - ETA: 14s - loss: 21.7003 - logits_profile_predictions_loss: 21.2850 - logcount_predictions_loss: 0.4153 19/38 [==============>...............] - ETA: 13s - loss: 21.7237 - logits_profile_predictions_loss: 21.3041 - logcount_predictions_loss: 0.4196 20/38 [==============>...............] - ETA: 13s - loss: 21.8268 - logits_profile_predictions_loss: 21.3997 - logcount_predictions_loss: 0.4271 21/38 [===============>..............] - ETA: 12s - loss: 21.9538 - logits_profile_predictions_loss: 21.5215 - logcount_predictions_loss: 0.4322 22/38 [================>.............] - ETA: 11s - loss: 21.9241 - logits_profile_predictions_loss: 21.4928 - logcount_predictions_loss: 0.4313 23/38 [=================>............] - ETA: 11s - loss: 21.9986 - logits_profile_predictions_loss: 21.5665 - logcount_predictions_loss: 0.4321 24/38 [=================>............] - ETA: 10s - loss: 21.9908 - logits_profile_predictions_loss: 21.5588 - logcount_predictions_loss: 0.4320 25/38 [==================>...........] - ETA: 9s - loss: 21.9962 - logits_profile_predictions_loss: 21.5641 - logcount_predictions_loss: 0.4321  26/38 [===================>..........] - ETA: 8s - loss: 22.0092 - logits_profile_predictions_loss: 21.5762 - logcount_predictions_loss: 0.4330 27/38 [====================>.........] - ETA: 7s - loss: 22.0285 - logits_profile_predictions_loss: 21.5950 - logcount_predictions_loss: 0.4335 28/38 [=====================>........] - ETA: 7s - loss: 22.0027 - logits_profile_predictions_loss: 21.5719 - logcount_predictions_loss: 0.4308 29/38 [=====================>........] - ETA: 6s - loss: 21.9717 - logits_profile_predictions_loss: 21.5435 - logcount_predictions_loss: 0.4282 30/38 [======================>.......] - ETA: 5s - loss: 21.9558 - logits_profile_predictions_loss: 21.5297 - logcount_predictions_loss: 0.4262 31/38 [=======================>......] - ETA: 5s - loss: 21.9065 - logits_profile_predictions_loss: 21.4809 - logcount_predictions_loss: 0.4256 32/38 [========================>.....] - ETA: 4s - loss: 21.8714 - logits_profile_predictions_loss: 21.4465 - logcount_predictions_loss: 0.4249 33/38 [=========================>....] - ETA: 3s - loss: 21.9093 - logits_profile_predictions_loss: 21.4827 - logcount_predictions_loss: 0.4267 34/38 [=========================>....] - ETA: 2s - loss: 21.9075 - logits_profile_predictions_loss: 21.4816 - logcount_predictions_loss: 0.4258 35/38 [==========================>...] - ETA: 2s - loss: 21.9310 - logits_profile_predictions_loss: 21.5046 - logcount_predictions_loss: 0.4264 36/38 [===========================>..] - ETA: 1s - loss: 21.9164 - logits_profile_predictions_loss: 21.4917 - logcount_predictions_loss: 0.4247 37/38 [============================>.] - ETA: 0s - loss: 21.8688 - logits_profile_predictions_loss: 21.4460 - logcount_predictions_loss: 0.4228 38/38 [==============================] - ETA: 0s - loss: 21.8654 - logits_profile_predictions_loss: 21.4418 - logcount_predictions_loss: 0.4236 Epoch 10: val_loss did not improve from 24.81883  38/38 [==============================] - 30s 800ms/step - loss: 21.8654 - logits_profile_predictions_loss: 21.4418 - logcount_predictions_loss: 0.4236 - val_loss: 24.8588 - val_logits_profile_predictions_loss: 24.3510 - val_logcount_predictions_loss: 0.5078 Epoch 11/50 1/38 [..............................] - ETA: 27s - loss: 21.0361 - logits_profile_predictions_loss: 20.6942 - logcount_predictions_loss: 0.3419 2/38 [>.............................] - ETA: 26s - loss: 21.9978 - logits_profile_predictions_loss: 21.6113 - logcount_predictions_loss: 0.3865 3/38 [=>............................] - ETA: 25s - loss: 21.5575 - logits_profile_predictions_loss: 21.1578 - logcount_predictions_loss: 0.3996 4/38 [==>...........................] - ETA: 24s - loss: 21.6209 - logits_profile_predictions_loss: 21.2080 - logcount_predictions_loss: 0.4128 5/38 [==>...........................] - ETA: 23s - loss: 21.5349 - logits_profile_predictions_loss: 21.1160 - logcount_predictions_loss: 0.4189 6/38 [===>..........................] - ETA: 23s - loss: 21.5562 - logits_profile_predictions_loss: 21.1365 - logcount_predictions_loss: 0.4197 7/38 [====>.........................] - ETA: 22s - loss: 21.5962 - logits_profile_predictions_loss: 21.1715 - logcount_predictions_loss: 0.4247 8/38 [=====>........................] - ETA: 21s - loss: 21.5949 - logits_profile_predictions_loss: 21.1694 - logcount_predictions_loss: 0.4254 9/38 [======>.......................] - ETA: 21s - loss: 21.5981 - logits_profile_predictions_loss: 21.1717 - logcount_predictions_loss: 0.4264 10/38 [======>.......................] - ETA: 20s - loss: 21.4995 - logits_profile_predictions_loss: 21.0782 - logcount_predictions_loss: 0.4213 11/38 [=======>......................] - ETA: 19s - loss: 21.6255 - logits_profile_predictions_loss: 21.1962 - logcount_predictions_loss: 0.4293 12/38 [========>.....................] - ETA: 19s - loss: 21.5535 - logits_profile_predictions_loss: 21.1243 - logcount_predictions_loss: 0.4291 13/38 [=========>....................] - ETA: 18s - loss: 21.4985 - logits_profile_predictions_loss: 21.0726 - logcount_predictions_loss: 0.4258 14/38 [==========>...................] - ETA: 17s - loss: 21.4547 - logits_profile_predictions_loss: 21.0278 - logcount_predictions_loss: 0.4270 15/38 [==========>...................] - ETA: 16s - loss: 21.4750 - logits_profile_predictions_loss: 21.0482 - logcount_predictions_loss: 0.4268 16/38 [===========>..................] - ETA: 16s - loss: 21.5094 - logits_profile_predictions_loss: 21.0863 - logcount_predictions_loss: 0.4230 17/38 [============>.................] - ETA: 15s - loss: 21.4950 - logits_profile_predictions_loss: 21.0740 - logcount_predictions_loss: 0.4210 18/38 [=============>................] - ETA: 14s - loss: 21.7361 - logits_profile_predictions_loss: 21.3041 - logcount_predictions_loss: 0.4321 19/38 [==============>...............] - ETA: 14s - loss: 21.7149 - logits_profile_predictions_loss: 21.2876 - logcount_predictions_loss: 0.4272 20/38 [==============>...............] - ETA: 13s - loss: 21.6612 - logits_profile_predictions_loss: 21.2337 - logcount_predictions_loss: 0.4276 21/38 [===============>..............] - ETA: 12s - loss: 21.6353 - logits_profile_predictions_loss: 21.2088 - logcount_predictions_loss: 0.4265 22/38 [================>.............] - ETA: 12s - loss: 21.5757 - logits_profile_predictions_loss: 21.1530 - logcount_predictions_loss: 0.4227 23/38 [=================>............] - ETA: 11s - loss: 21.6053 - logits_profile_predictions_loss: 21.1822 - logcount_predictions_loss: 0.4231 24/38 [=================>............] - ETA: 10s - loss: 21.6407 - logits_profile_predictions_loss: 21.2171 - logcount_predictions_loss: 0.4236 25/38 [==================>...........] - ETA: 9s - loss: 21.6331 - logits_profile_predictions_loss: 21.2087 - logcount_predictions_loss: 0.4244  26/38 [===================>..........] - ETA: 9s - loss: 21.6421 - logits_profile_predictions_loss: 21.2171 - logcount_predictions_loss: 0.4250 27/38 [====================>.........] - ETA: 8s - loss: 21.6193 - logits_profile_predictions_loss: 21.1952 - logcount_predictions_loss: 0.4241 28/38 [=====================>........] - ETA: 7s - loss: 21.6001 - logits_profile_predictions_loss: 21.1768 - logcount_predictions_loss: 0.4232 29/38 [=====================>........] - ETA: 6s - loss: 21.6299 - logits_profile_predictions_loss: 21.2063 - logcount_predictions_loss: 0.4236 30/38 [======================>.......] - ETA: 6s - loss: 21.5778 - logits_profile_predictions_loss: 21.1551 - logcount_predictions_loss: 0.4227 31/38 [=======================>......] - ETA: 5s - loss: 21.5707 - logits_profile_predictions_loss: 21.1446 - logcount_predictions_loss: 0.4261 32/38 [========================>.....] - ETA: 4s - loss: 21.5708 - logits_profile_predictions_loss: 21.1463 - logcount_predictions_loss: 0.4245 33/38 [=========================>....] - ETA: 3s - loss: 21.6038 - logits_profile_predictions_loss: 21.1787 - logcount_predictions_loss: 0.4251 34/38 [=========================>....] - ETA: 3s - loss: 21.6545 - logits_profile_predictions_loss: 21.2280 - logcount_predictions_loss: 0.4265 35/38 [==========================>...] - ETA: 2s - loss: 21.6608 - logits_profile_predictions_loss: 21.2338 - logcount_predictions_loss: 0.4270 36/38 [===========================>..] - ETA: 1s - loss: 21.6817 - logits_profile_predictions_loss: 21.2532 - logcount_predictions_loss: 0.4286 37/38 [============================>.] - ETA: 0s - loss: 21.7006 - logits_profile_predictions_loss: 21.2713 - logcount_predictions_loss: 0.4293 38/38 [==============================] - ETA: 0s - loss: 21.6920 - logits_profile_predictions_loss: 21.2617 - logcount_predictions_loss: 0.4303 Epoch 11: val_loss improved from 24.81883 to 24.81158, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.adipocyte.In/fold_1/models/chrombpnet.h5  38/38 [==============================] - 32s 858ms/step - loss: 21.6920 - logits_profile_predictions_loss: 21.2617 - logcount_predictions_loss: 0.4303 - val_loss: 24.8116 - val_logits_profile_predictions_loss: 24.3037 - val_logcount_predictions_loss: 0.5078 Epoch 12/50 1/38 [..............................] - ETA: 27s - loss: 20.8833 - logits_profile_predictions_loss: 20.4993 - logcount_predictions_loss: 0.3839 2/38 [>.............................] - ETA: 26s - loss: 21.0788 - logits_profile_predictions_loss: 20.6770 - logcount_predictions_loss: 0.4018 3/38 [=>............................] - ETA: 25s - loss: 21.1726 - logits_profile_predictions_loss: 20.7603 - logcount_predictions_loss: 0.4124 4/38 [==>...........................] - ETA: 24s - loss: 21.2840 - logits_profile_predictions_loss: 20.8761 - logcount_predictions_loss: 0.4079 5/38 [==>...........................] - ETA: 23s - loss: 21.5202 - logits_profile_predictions_loss: 21.0931 - logcount_predictions_loss: 0.4271 6/38 [===>..........................] - ETA: 23s - loss: 21.6559 - logits_profile_predictions_loss: 21.2272 - logcount_predictions_loss: 0.4287 7/38 [====>.........................] - ETA: 22s - loss: 21.9047 - logits_profile_predictions_loss: 21.4550 - logcount_predictions_loss: 0.4497 8/38 [=====>........................] - ETA: 21s - loss: 21.6153 - logits_profile_predictions_loss: 21.1821 - logcount_predictions_loss: 0.4332 9/38 [======>.......................] - ETA: 21s - loss: 21.5241 - logits_profile_predictions_loss: 21.0964 - logcount_predictions_loss: 0.4277 10/38 [======>.......................] - ETA: 18s - loss: 21.5339 - logits_profile_predictions_loss: 21.1033 - logcount_predictions_loss: 0.4306 11/38 [=======>......................] - ETA: 17s - loss: 21.3578 - logits_profile_predictions_loss: 20.9323 - logcount_predictions_loss: 0.4255 12/38 [========>.....................] - ETA: 17s - loss: 21.4382 - logits_profile_predictions_loss: 21.0128 - logcount_predictions_loss: 0.4253 13/38 [=========>....................] - ETA: 17s - loss: 21.3097 - logits_profile_predictions_loss: 20.8898 - logcount_predictions_loss: 0.4199 14/38 [==========>...................] - ETA: 16s - loss: 21.4143 - logits_profile_predictions_loss: 20.9925 - logcount_predictions_loss: 0.4219 15/38 [==========>...................] - ETA: 16s - loss: 21.4364 - logits_profile_predictions_loss: 21.0135 - logcount_predictions_loss: 0.4229 16/38 [===========>..................] - ETA: 15s - loss: 21.3260 - logits_profile_predictions_loss: 20.9075 - logcount_predictions_loss: 0.4185 17/38 [============>.................] - ETA: 14s - loss: 21.3951 - logits_profile_predictions_loss: 20.9762 - logcount_predictions_loss: 0.4189 18/38 [=============>................] - ETA: 14s - loss: 21.3302 - logits_profile_predictions_loss: 20.9100 - logcount_predictions_loss: 0.4203 19/38 [==============>...............] - ETA: 13s - loss: 21.2269 - logits_profile_predictions_loss: 20.8095 - logcount_predictions_loss: 0.4174 20/38 [==============>...............] - ETA: 12s - loss: 21.3177 - logits_profile_predictions_loss: 20.8983 - logcount_predictions_loss: 0.4194 21/38 [===============>..............] - ETA: 12s - loss: 21.3141 - logits_profile_predictions_loss: 20.8967 - logcount_predictions_loss: 0.4174 22/38 [================>.............] - ETA: 11s - loss: 21.3122 - logits_profile_predictions_loss: 20.8947 - logcount_predictions_loss: 0.4175 23/38 [=================>............] - ETA: 10s - loss: 21.3607 - logits_profile_predictions_loss: 20.9392 - logcount_predictions_loss: 0.4215 24/38 [=================>............] - ETA: 10s - loss: 21.3954 - logits_profile_predictions_loss: 20.9728 - logcount_predictions_loss: 0.4226 25/38 [==================>...........] - ETA: 9s - loss: 21.3987 - logits_profile_predictions_loss: 20.9755 - logcount_predictions_loss: 0.4231  26/38 [===================>..........] - ETA: 8s - loss: 21.4226 - logits_profile_predictions_loss: 20.9950 - logcount_predictions_loss: 0.4276 27/38 [====================>.........] - ETA: 8s - loss: 21.4212 - logits_profile_predictions_loss: 20.9947 - logcount_predictions_loss: 0.4265 28/38 [=====================>........] - ETA: 7s - loss: 21.4133 - logits_profile_predictions_loss: 20.9884 - logcount_predictions_loss: 0.4249 29/38 [=====================>........] - ETA: 6s - loss: 21.4729 - logits_profile_predictions_loss: 21.0451 - logcount_predictions_loss: 0.4278 30/38 [======================>.......] - ETA: 5s - loss: 21.5198 - logits_profile_predictions_loss: 21.0892 - logcount_predictions_loss: 0.4306 31/38 [=======================>......] - ETA: 5s - loss: 21.5285 - logits_profile_predictions_loss: 21.0986 - logcount_predictions_loss: 0.4299 32/38 [========================>.....] - ETA: 4s - loss: 21.4934 - logits_profile_predictions_loss: 21.0668 - logcount_predictions_loss: 0.4265 33/38 [=========================>....] - ETA: 3s - loss: 21.5252 - logits_profile_predictions_loss: 21.0990 - logcount_predictions_loss: 0.4261 34/38 [=========================>....] - ETA: 2s - loss: 21.4902 - logits_profile_predictions_loss: 21.0652 - logcount_predictions_loss: 0.4250 35/38 [==========================>...] - ETA: 2s - loss: 21.5105 - logits_profile_predictions_loss: 21.0832 - logcount_predictions_loss: 0.4273 36/38 [===========================>..] - ETA: 1s - loss: 21.5149 - logits_profile_predictions_loss: 21.0878 - logcount_predictions_loss: 0.4272 37/38 [============================>.] - ETA: 0s - loss: 21.5338 - logits_profile_predictions_loss: 21.1051 - logcount_predictions_loss: 0.4287 38/38 [==============================] - ETA: 0s - loss: 21.5358 - logits_profile_predictions_loss: 21.1056 - logcount_predictions_loss: 0.4303 Epoch 12: val_loss did not improve from 24.81158  38/38 [==============================] - 31s 816ms/step - loss: 21.5358 - logits_profile_predictions_loss: 21.1056 - logcount_predictions_loss: 0.4303 - val_loss: 24.9858 - val_logits_profile_predictions_loss: 24.4780 - val_logcount_predictions_loss: 0.5078 Epoch 13/50 1/38 [..............................] - ETA: 27s - loss: 21.2152 - logits_profile_predictions_loss: 20.7566 - logcount_predictions_loss: 0.4586 2/38 [>.............................] - ETA: 26s - loss: 21.1074 - logits_profile_predictions_loss: 20.6628 - logcount_predictions_loss: 0.4446 3/38 [=>............................] - ETA: 25s - loss: 21.9771 - logits_profile_predictions_loss: 21.4950 - logcount_predictions_loss: 0.4821 4/38 [==>...........................] - ETA: 24s - loss: 21.8372 - logits_profile_predictions_loss: 21.3732 - logcount_predictions_loss: 0.4641 5/38 [==>...........................] - ETA: 23s - loss: 21.8222 - logits_profile_predictions_loss: 21.3595 - logcount_predictions_loss: 0.4627 6/38 [===>..........................] - ETA: 23s - loss: 21.6056 - logits_profile_predictions_loss: 21.1511 - logcount_predictions_loss: 0.4545 7/38 [====>.........................] - ETA: 22s - loss: 21.4866 - logits_profile_predictions_loss: 21.0366 - logcount_predictions_loss: 0.4500 8/38 [=====>........................] - ETA: 22s - loss: 21.2325 - logits_profile_predictions_loss: 20.7963 - logcount_predictions_loss: 0.4362 9/38 [======>.......................] - ETA: 21s - loss: 21.1248 - logits_profile_predictions_loss: 20.6856 - logcount_predictions_loss: 0.4392 10/38 [======>.......................] - ETA: 20s - loss: 21.1121 - logits_profile_predictions_loss: 20.6766 - logcount_predictions_loss: 0.4355 11/38 [=======>......................] - ETA: 19s - loss: 21.2314 - logits_profile_predictions_loss: 20.7929 - logcount_predictions_loss: 0.4385 12/38 [========>.....................] - ETA: 19s - loss: 21.2467 - logits_profile_predictions_loss: 20.8098 - logcount_predictions_loss: 0.4369 13/38 [=========>....................] - ETA: 18s - loss: 21.1417 - logits_profile_predictions_loss: 20.7121 - logcount_predictions_loss: 0.4296 14/38 [==========>...................] - ETA: 17s - loss: 21.0721 - logits_profile_predictions_loss: 20.6480 - logcount_predictions_loss: 0.4241 15/38 [==========>...................] - ETA: 16s - loss: 21.0568 - logits_profile_predictions_loss: 20.6326 - logcount_predictions_loss: 0.4241 16/38 [===========>..................] - ETA: 16s - loss: 21.0054 - logits_profile_predictions_loss: 20.5859 - logcount_predictions_loss: 0.4194 17/38 [============>.................] - ETA: 15s - loss: 21.0490 - logits_profile_predictions_loss: 20.6273 - logcount_predictions_loss: 0.4217 18/38 [=============>................] - ETA: 14s - loss: 21.0796 - logits_profile_predictions_loss: 20.6561 - logcount_predictions_loss: 0.4235 19/38 [==============>...............] - ETA: 14s - loss: 21.0229 - logits_profile_predictions_loss: 20.6011 - logcount_predictions_loss: 0.4219 20/38 [==============>...............] - ETA: 13s - loss: 21.0216 - logits_profile_predictions_loss: 20.6007 - logcount_predictions_loss: 0.4208 21/38 [===============>..............] - ETA: 12s - loss: 21.0102 - logits_profile_predictions_loss: 20.5885 - logcount_predictions_loss: 0.4217 22/38 [================>.............] - ETA: 11s - loss: 21.0446 - logits_profile_predictions_loss: 20.6210 - logcount_predictions_loss: 0.4237 23/38 [=================>............] - ETA: 11s - loss: 21.0494 - logits_profile_predictions_loss: 20.6264 - logcount_predictions_loss: 0.4230 24/38 [=================>............] - ETA: 10s - loss: 21.0732 - logits_profile_predictions_loss: 20.6493 - logcount_predictions_loss: 0.4239 25/38 [==================>...........] - ETA: 9s - loss: 21.1394 - logits_profile_predictions_loss: 20.7133 - logcount_predictions_loss: 0.4261  26/38 [===================>..........] - ETA: 8s - loss: 21.1498 - logits_profile_predictions_loss: 20.7216 - logcount_predictions_loss: 0.4282 27/38 [====================>.........] - ETA: 8s - loss: 21.1759 - logits_profile_predictions_loss: 20.7476 - logcount_predictions_loss: 0.4283 28/38 [=====================>........] - ETA: 7s - loss: 21.2031 - logits_profile_predictions_loss: 20.7737 - logcount_predictions_loss: 0.4294 29/38 [=====================>........] - ETA: 6s - loss: 21.2106 - logits_profile_predictions_loss: 20.7825 - logcount_predictions_loss: 0.4282 30/38 [======================>.......] - ETA: 5s - loss: 21.1936 - logits_profile_predictions_loss: 20.7664 - logcount_predictions_loss: 0.4272 31/38 [=======================>......] - ETA: 5s - loss: 21.2061 - logits_profile_predictions_loss: 20.7795 - logcount_predictions_loss: 0.4266 32/38 [========================>.....] - ETA: 4s - loss: 21.1774 - logits_profile_predictions_loss: 20.7547 - logcount_predictions_loss: 0.4227 33/38 [=========================>....] - ETA: 3s - loss: 21.1657 - logits_profile_predictions_loss: 20.7443 - logcount_predictions_loss: 0.4214 34/38 [=========================>....] - ETA: 2s - loss: 21.1186 - logits_profile_predictions_loss: 20.7002 - logcount_predictions_loss: 0.4184 35/38 [==========================>...] - ETA: 2s - loss: 21.1061 - logits_profile_predictions_loss: 20.6856 - logcount_predictions_loss: 0.4205 36/38 [===========================>..] - ETA: 1s - loss: 21.0698 - logits_profile_predictions_loss: 20.6496 - logcount_predictions_loss: 0.4202 37/38 [============================>.] - ETA: 0s - loss: 21.0521 - logits_profile_predictions_loss: 20.6334 - logcount_predictions_loss: 0.4186 38/38 [==============================] - ETA: 0s - loss: 21.1108 - logits_profile_predictions_loss: 20.6903 - logcount_predictions_loss: 0.4205 Epoch 13: val_loss did not improve from 24.81158  38/38 [==============================] - 31s 809ms/step - loss: 21.1108 - logits_profile_predictions_loss: 20.6903 - logcount_predictions_loss: 0.4205 - val_loss: 25.2221 - val_logits_profile_predictions_loss: 24.7143 - val_logcount_predictions_loss: 0.5078 Epoch 14/50 1/38 [..............................] - ETA: 27s - loss: 21.4085 - logits_profile_predictions_loss: 20.8692 - logcount_predictions_loss: 0.5393 2/38 [>.............................] - ETA: 26s - loss: 20.8068 - logits_profile_predictions_loss: 20.3492 - logcount_predictions_loss: 0.4576 3/38 [=>............................] - ETA: 25s - loss: 20.7902 - logits_profile_predictions_loss: 20.3106 - logcount_predictions_loss: 0.4796 4/38 [==>...........................] - ETA: 24s - loss: 20.5834 - logits_profile_predictions_loss: 20.1306 - logcount_predictions_loss: 0.4528 5/38 [==>...........................] - ETA: 23s - loss: 21.2652 - logits_profile_predictions_loss: 20.7751 - logcount_predictions_loss: 0.4900 6/38 [===>..........................] - ETA: 23s - loss: 21.1815 - logits_profile_predictions_loss: 20.7041 - logcount_predictions_loss: 0.4774 7/38 [====>.........................] - ETA: 22s - loss: 21.4131 - logits_profile_predictions_loss: 20.9232 - logcount_predictions_loss: 0.4900 8/38 [=====>........................] - ETA: 22s - loss: 21.2850 - logits_profile_predictions_loss: 20.8092 - logcount_predictions_loss: 0.4758 9/38 [======>.......................] - ETA: 18s - loss: 21.2491 - logits_profile_predictions_loss: 20.7745 - logcount_predictions_loss: 0.4747 10/38 [======>.......................] - ETA: 18s - loss: 21.2314 - logits_profile_predictions_loss: 20.7617 - logcount_predictions_loss: 0.4697 11/38 [=======>......................] - ETA: 18s - loss: 21.2101 - logits_profile_predictions_loss: 20.7463 - logcount_predictions_loss: 0.4638 12/38 [========>.....................] - ETA: 17s - loss: 20.9998 - logits_profile_predictions_loss: 20.5472 - logcount_predictions_loss: 0.4526 13/38 [=========>....................] - ETA: 16s - loss: 21.0197 - logits_profile_predictions_loss: 20.5669 - logcount_predictions_loss: 0.4528 14/38 [==========>...................] - ETA: 16s - loss: 20.9153 - logits_profile_predictions_loss: 20.4699 - logcount_predictions_loss: 0.4453 15/38 [==========>...................] - ETA: 15s - loss: 20.9461 - logits_profile_predictions_loss: 20.5054 - logcount_predictions_loss: 0.4408 16/38 [===========>..................] - ETA: 15s - loss: 20.9402 - logits_profile_predictions_loss: 20.4993 - logcount_predictions_loss: 0.4409 17/38 [============>.................] - ETA: 14s - loss: 20.9708 - logits_profile_predictions_loss: 20.5303 - logcount_predictions_loss: 0.4405 18/38 [=============>................] - ETA: 14s - loss: 20.9744 - logits_profile_predictions_loss: 20.5357 - logcount_predictions_loss: 0.4387 19/38 [==============>...............] - ETA: 13s - loss: 20.9083 - logits_profile_predictions_loss: 20.4740 - logcount_predictions_loss: 0.4343 20/38 [==============>...............] - ETA: 13s - loss: 20.8252 - logits_profile_predictions_loss: 20.3941 - logcount_predictions_loss: 0.4310 21/38 [===============>..............] - ETA: 12s - loss: 20.7730 - logits_profile_predictions_loss: 20.3468 - logcount_predictions_loss: 0.4263 22/38 [================>.............] - ETA: 11s - loss: 20.8101 - logits_profile_predictions_loss: 20.3819 - logcount_predictions_loss: 0.4282 23/38 [=================>............] - ETA: 11s - loss: 20.7753 - logits_profile_predictions_loss: 20.3500 - logcount_predictions_loss: 0.4253 24/38 [=================>............] - ETA: 10s - loss: 20.7613 - logits_profile_predictions_loss: 20.3375 - logcount_predictions_loss: 0.4238 25/38 [==================>...........] - ETA: 9s - loss: 20.7384 - logits_profile_predictions_loss: 20.3142 - logcount_predictions_loss: 0.4241  26/38 [===================>..........] - ETA: 8s - loss: 20.7026 - logits_profile_predictions_loss: 20.2810 - logcount_predictions_loss: 0.4217 27/38 [====================>.........] - ETA: 8s - loss: 20.7057 - logits_profile_predictions_loss: 20.2849 - logcount_predictions_loss: 0.4209 28/38 [=====================>........] - ETA: 7s - loss: 20.8047 - logits_profile_predictions_loss: 20.3800 - logcount_predictions_loss: 0.4247 29/38 [=====================>........] - ETA: 6s - loss: 20.8011 - logits_profile_predictions_loss: 20.3766 - logcount_predictions_loss: 0.4245 30/38 [======================>.......] - ETA: 5s - loss: 20.8003 - logits_profile_predictions_loss: 20.3754 - logcount_predictions_loss: 0.4249 31/38 [=======================>......] - ETA: 5s - loss: 20.8409 - logits_profile_predictions_loss: 20.4148 - logcount_predictions_loss: 0.4261 32/38 [========================>.....] - ETA: 4s - loss: 20.8101 - logits_profile_predictions_loss: 20.3851 - logcount_predictions_loss: 0.4250 33/38 [=========================>....] - ETA: 3s - loss: 20.8164 - logits_profile_predictions_loss: 20.3913 - logcount_predictions_loss: 0.4251 34/38 [=========================>....] - ETA: 3s - loss: 20.8694 - logits_profile_predictions_loss: 20.4434 - logcount_predictions_loss: 0.4260 35/38 [==========================>...] - ETA: 2s - loss: 20.9230 - logits_profile_predictions_loss: 20.4944 - logcount_predictions_loss: 0.4286 36/38 [===========================>..] - ETA: 1s - loss: 20.9176 - logits_profile_predictions_loss: 20.4902 - logcount_predictions_loss: 0.4275 37/38 [============================>.] - ETA: 0s - loss: 20.9216 - logits_profile_predictions_loss: 20.4947 - logcount_predictions_loss: 0.4269 38/38 [==============================] - ETA: 0s - loss: 20.9501 - logits_profile_predictions_loss: 20.5244 - logcount_predictions_loss: 0.4257 Epoch 14: val_loss did not improve from 24.81158  38/38 [==============================] - 31s 823ms/step - loss: 20.9501 - logits_profile_predictions_loss: 20.5244 - logcount_predictions_loss: 0.4257 - val_loss: 25.1359 - val_logits_profile_predictions_loss: 24.6281 - val_logcount_predictions_loss: 0.5078 Epoch 15/50 1/38 [..............................] - ETA: 27s - loss: 20.3881 - logits_profile_predictions_loss: 19.9652 - logcount_predictions_loss: 0.4229 2/38 [>.............................] - ETA: 26s - loss: 20.0648 - logits_profile_predictions_loss: 19.6405 - logcount_predictions_loss: 0.4243 3/38 [=>............................] - ETA: 25s - loss: 19.7731 - logits_profile_predictions_loss: 19.3734 - logcount_predictions_loss: 0.3997 4/38 [==>...........................] - ETA: 24s - loss: 19.9174 - logits_profile_predictions_loss: 19.5053 - logcount_predictions_loss: 0.4121 5/38 [==>...........................] - ETA: 18s - loss: 19.9168 - logits_profile_predictions_loss: 19.5048 - logcount_predictions_loss: 0.4120 6/38 [===>..........................] - ETA: 19s - loss: 20.2150 - logits_profile_predictions_loss: 19.7904 - logcount_predictions_loss: 0.4245 7/38 [====>.........................] - ETA: 19s - loss: 20.4199 - logits_profile_predictions_loss: 19.9894 - logcount_predictions_loss: 0.4306 8/38 [=====>........................] - ETA: 19s - loss: 20.4729 - logits_profile_predictions_loss: 20.0467 - logcount_predictions_loss: 0.4262 9/38 [======>.......................] - ETA: 18s - loss: 20.3767 - logits_profile_predictions_loss: 19.9561 - logcount_predictions_loss: 0.4206 10/38 [======>.......................] - ETA: 18s - loss: 20.6701 - logits_profile_predictions_loss: 20.2392 - logcount_predictions_loss: 0.4309 11/38 [=======>......................] - ETA: 18s - loss: 20.5294 - logits_profile_predictions_loss: 20.1029 - logcount_predictions_loss: 0.4265 12/38 [========>.....................] - ETA: 17s - loss: 20.3398 - logits_profile_predictions_loss: 19.9251 - logcount_predictions_loss: 0.4147 13/38 [=========>....................] - ETA: 17s - loss: 20.3281 - logits_profile_predictions_loss: 19.9135 - logcount_predictions_loss: 0.4146 14/38 [==========>...................] - ETA: 16s - loss: 20.2624 - logits_profile_predictions_loss: 19.8509 - logcount_predictions_loss: 0.4116 15/38 [==========>...................] - ETA: 15s - loss: 20.3030 - logits_profile_predictions_loss: 19.8930 - logcount_predictions_loss: 0.4100 16/38 [===========>..................] - ETA: 15s - loss: 20.3577 - logits_profile_predictions_loss: 19.9494 - logcount_predictions_loss: 0.4082 17/38 [============>.................] - ETA: 14s - loss: 20.4074 - logits_profile_predictions_loss: 19.9970 - logcount_predictions_loss: 0.4104 18/38 [=============>................] - ETA: 14s - loss: 20.4752 - logits_profile_predictions_loss: 20.0630 - logcount_predictions_loss: 0.4122 19/38 [==============>...............] - ETA: 13s - loss: 20.4136 - logits_profile_predictions_loss: 20.0031 - logcount_predictions_loss: 0.4105 20/38 [==============>...............] - ETA: 12s - loss: 20.4553 - logits_profile_predictions_loss: 20.0395 - logcount_predictions_loss: 0.4158 21/38 [===============>..............] - ETA: 12s - loss: 20.4934 - logits_profile_predictions_loss: 20.0784 - logcount_predictions_loss: 0.4150 22/38 [================>.............] - ETA: 11s - loss: 20.6239 - logits_profile_predictions_loss: 20.2005 - logcount_predictions_loss: 0.4234 23/38 [=================>............] - ETA: 10s - loss: 20.6732 - logits_profile_predictions_loss: 20.2476 - logcount_predictions_loss: 0.4256 24/38 [=================>............] - ETA: 10s - loss: 20.7045 - logits_profile_predictions_loss: 20.2755 - logcount_predictions_loss: 0.4290 25/38 [==================>...........] - ETA: 9s - loss: 20.6482 - logits_profile_predictions_loss: 20.2215 - logcount_predictions_loss: 0.4267  26/38 [===================>..........] - ETA: 8s - loss: 20.6480 - logits_profile_predictions_loss: 20.2206 - logcount_predictions_loss: 0.4274 27/38 [====================>.........] - ETA: 7s - loss: 20.6965 - logits_profile_predictions_loss: 20.2675 - logcount_predictions_loss: 0.4290 28/38 [=====================>........] - ETA: 7s - loss: 20.7351 - logits_profile_predictions_loss: 20.3055 - logcount_predictions_loss: 0.4296 29/38 [=====================>........] - ETA: 6s - loss: 20.8386 - logits_profile_predictions_loss: 20.4038 - logcount_predictions_loss: 0.4348 30/38 [======================>.......] - ETA: 5s - loss: 20.8260 - logits_profile_predictions_loss: 20.3909 - logcount_predictions_loss: 0.4351 31/38 [=======================>......] - ETA: 5s - loss: 20.8399 - logits_profile_predictions_loss: 20.4039 - logcount_predictions_loss: 0.4361 32/38 [========================>.....] - ETA: 4s - loss: 20.8583 - logits_profile_predictions_loss: 20.4207 - logcount_predictions_loss: 0.4376 33/38 [=========================>....] - ETA: 3s - loss: 20.8650 - logits_profile_predictions_loss: 20.4281 - logcount_predictions_loss: 0.4369 34/38 [=========================>....] - ETA: 2s - loss: 20.8547 - logits_profile_predictions_loss: 20.4171 - logcount_predictions_loss: 0.4376 35/38 [==========================>...] - ETA: 2s - loss: 20.8187 - logits_profile_predictions_loss: 20.3808 - logcount_predictions_loss: 0.4379 36/38 [===========================>..] - ETA: 1s - loss: 20.7668 - logits_profile_predictions_loss: 20.3309 - logcount_predictions_loss: 0.4359 37/38 [============================>.] - ETA: 0s - loss: 20.7606 - logits_profile_predictions_loss: 20.3240 - logcount_predictions_loss: 0.4366 38/38 [==============================] - ETA: 0s - loss: 20.7007 - logits_profile_predictions_loss: 20.2664 - logcount_predictions_loss: 0.4343 Epoch 15: val_loss did not improve from 24.81158  38/38 [==============================] - 31s 812ms/step - loss: 20.7007 - logits_profile_predictions_loss: 20.2664 - logcount_predictions_loss: 0.4343 - val_loss: 25.3992 - val_logits_profile_predictions_loss: 24.8914 - val_logcount_predictions_loss: 0.5079 Epoch 16/50 1/38 [..............................] - ETA: 27s - loss: 21.2714 - logits_profile_predictions_loss: 20.7561 - logcount_predictions_loss: 0.5153 2/38 [>.............................] - ETA: 26s - loss: 20.8484 - logits_profile_predictions_loss: 20.3907 - logcount_predictions_loss: 0.4577 3/38 [=>............................] - ETA: 25s - loss: 20.1454 - logits_profile_predictions_loss: 19.7264 - logcount_predictions_loss: 0.4189 4/38 [==>...........................] - ETA: 24s - loss: 19.7996 - logits_profile_predictions_loss: 19.3872 - logcount_predictions_loss: 0.4124 5/38 [==>...........................] - ETA: 24s - loss: 19.9120 - logits_profile_predictions_loss: 19.4848 - logcount_predictions_loss: 0.4272 6/38 [===>..........................] - ETA: 23s - loss: 19.6785 - logits_profile_predictions_loss: 19.2621 - logcount_predictions_loss: 0.4163 7/38 [====>.........................] - ETA: 22s - loss: 19.8785 - logits_profile_predictions_loss: 19.4582 - logcount_predictions_loss: 0.4203 8/38 [=====>........................] - ETA: 21s - loss: 19.8331 - logits_profile_predictions_loss: 19.4094 - logcount_predictions_loss: 0.4236 9/38 [======>.......................] - ETA: 21s - loss: 19.8787 - logits_profile_predictions_loss: 19.4576 - logcount_predictions_loss: 0.4211 10/38 [======>.......................] - ETA: 20s - loss: 19.9984 - logits_profile_predictions_loss: 19.5761 - logcount_predictions_loss: 0.4224 11/38 [=======>......................] - ETA: 19s - loss: 19.9538 - logits_profile_predictions_loss: 19.5320 - logcount_predictions_loss: 0.4218 12/38 [========>.....................] - ETA: 19s - loss: 19.9125 - logits_profile_predictions_loss: 19.4930 - logcount_predictions_loss: 0.4194 13/38 [=========>....................] - ETA: 18s - loss: 20.0439 - logits_profile_predictions_loss: 19.6161 - logcount_predictions_loss: 0.4278 14/38 [==========>...................] - ETA: 17s - loss: 20.2100 - logits_profile_predictions_loss: 19.7741 - logcount_predictions_loss: 0.4359 15/38 [==========>...................] - ETA: 16s - loss: 20.2373 - logits_profile_predictions_loss: 19.8017 - logcount_predictions_loss: 0.4356 16/38 [===========>..................] - ETA: 16s - loss: 20.1782 - logits_profile_predictions_loss: 19.7454 - logcount_predictions_loss: 0.4328 17/38 [============>.................] - ETA: 15s - loss: 20.1335 - logits_profile_predictions_loss: 19.7017 - logcount_predictions_loss: 0.4318 18/38 [=============>................] - ETA: 14s - loss: 20.1244 - logits_profile_predictions_loss: 19.6968 - logcount_predictions_loss: 0.4276 19/38 [==============>...............] - ETA: 14s - loss: 20.0760 - logits_profile_predictions_loss: 19.6491 - logcount_predictions_loss: 0.4269 20/38 [==============>...............] - ETA: 12s - loss: 20.0835 - logits_profile_predictions_loss: 19.6568 - logcount_predictions_loss: 0.4267 21/38 [===============>..............] - ETA: 12s - loss: 20.0856 - logits_profile_predictions_loss: 19.6578 - logcount_predictions_loss: 0.4278 22/38 [================>.............] - ETA: 11s - loss: 20.1018 - logits_profile_predictions_loss: 19.6763 - logcount_predictions_loss: 0.4256 23/38 [=================>............] - ETA: 10s - loss: 20.0515 - logits_profile_predictions_loss: 19.6285 - logcount_predictions_loss: 0.4229 24/38 [=================>............] - ETA: 10s - loss: 20.0736 - logits_profile_predictions_loss: 19.6509 - logcount_predictions_loss: 0.4227 25/38 [==================>...........] - ETA: 9s - loss: 20.1736 - logits_profile_predictions_loss: 19.7471 - logcount_predictions_loss: 0.4265  26/38 [===================>..........] - ETA: 8s - loss: 20.1587 - logits_profile_predictions_loss: 19.7317 - logcount_predictions_loss: 0.4269 27/38 [====================>.........] - ETA: 8s - loss: 20.1206 - logits_profile_predictions_loss: 19.6960 - logcount_predictions_loss: 0.4246 28/38 [=====================>........] - ETA: 7s - loss: 20.1276 - logits_profile_predictions_loss: 19.7055 - logcount_predictions_loss: 0.4221 29/38 [=====================>........] - ETA: 6s - loss: 20.1615 - logits_profile_predictions_loss: 19.7364 - logcount_predictions_loss: 0.4251 30/38 [======================>.......] - ETA: 5s - loss: 20.1804 - logits_profile_predictions_loss: 19.7565 - logcount_predictions_loss: 0.4239 31/38 [=======================>......] - ETA: 5s - loss: 20.2337 - logits_profile_predictions_loss: 19.8084 - logcount_predictions_loss: 0.4253 32/38 [========================>.....] - ETA: 4s - loss: 20.2857 - logits_profile_predictions_loss: 19.8581 - logcount_predictions_loss: 0.4276 33/38 [=========================>....] - ETA: 3s - loss: 20.2573 - logits_profile_predictions_loss: 19.8325 - logcount_predictions_loss: 0.4248 34/38 [=========================>....] - ETA: 2s - loss: 20.2410 - logits_profile_predictions_loss: 19.8153 - logcount_predictions_loss: 0.4257 35/38 [==========================>...] - ETA: 2s - loss: 20.2184 - logits_profile_predictions_loss: 19.7954 - logcount_predictions_loss: 0.4230 36/38 [===========================>..] - ETA: 1s - loss: 20.2459 - logits_profile_predictions_loss: 19.8234 - logcount_predictions_loss: 0.4225 37/38 [============================>.] - ETA: 0s - loss: 20.2433 - logits_profile_predictions_loss: 19.8210 - logcount_predictions_loss: 0.4223 38/38 [==============================] - ETA: 0s - loss: 20.2216 - logits_profile_predictions_loss: 19.7987 - logcount_predictions_loss: 0.4229 Epoch 16: val_loss did not improve from 24.81158 Restoring model weights from the end of the best epoch: 11.  38/38 [==============================] - 31s 808ms/step - loss: 20.2216 - logits_profile_predictions_loss: 19.7987 - logcount_predictions_loss: 0.4229 - val_loss: 25.7169 - val_logits_profile_predictions_loss: 25.2091 - val_logcount_predictions_loss: 0.5079 Epoch 16: early stopping save model save model without bias got the model loading peaks... got split:test for bed regions:(625, 10) 0/10 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 1/10 [==>...........................] - ETA: 2s 2/10 [=====>........................] - ETA: 1s 3/10 [========>.....................] - ETA: 1s 4/10 [===========>..................] - ETA: 1s 5/10 [==============>...............] - ETA: 1s 6/10 [=================>............] - ETA: 0s 7/10 [====================>.........] - ETA: 0s 8/10 [=======================>......] - ETA: 0s 9/10 [==========================>...] - ETA: 0s 10/10 [==============================] - ETA: 0s 10/10 [==============================] - 2s 232ms/step 1/10 [==>...........................] - ETA: 0s 2/10 [=====>........................] - ETA: 1s 3/10 [========>.....................] - ETA: 1s 4/10 [===========>..................] - ETA: 1s 5/10 [==============>...............] - ETA: 1s 6/10 [=================>............] - ETA: 0s 7/10 [====================>.........] - ETA: 0s 8/10 [=======================>......] - ETA: 0s 9/10 [==========================>...] - ETA: 0s 10/10 [==============================] - ETA: 0s 10/10 [==============================] - 2s 232ms/step inserting motif: tn5_1 GCACAGTACAGAGCTG 1/10 [==>...........................] - ETA: 0s 2/10 [=====>........................] - ETA: 1s 3/10 [========>.....................] - ETA: 1s 4/10 [===========>..................] - ETA: 1s 5/10 [==============>...............] - ETA: 1s 6/10 [=================>............] - ETA: 0s 7/10 [====================>.........] - ETA: 0s 8/10 [=======================>......] - ETA: 0s 9/10 [==========================>...] - ETA: 0s 10/10 [==============================] - ETA: 0s 10/10 [==============================] - 2s 233ms/step 1/10 [==>...........................] - ETA: 0s 2/10 [=====>........................] - ETA: 1s 3/10 [========>.....................] - ETA: 1s 4/10 [===========>..................] - ETA: 1s 5/10 [==============>...............] - ETA: 1s 6/10 [=================>............] - ETA: 0s 7/10 [====================>.........] - ETA: 0s 8/10 [=======================>......] - ETA: 0s 9/10 [==========================>...] - ETA: 0s 10/10 [==============================] - ETA: 0s 10/10 [==============================] - 2s 246ms/step inserting motif: tn5_2 GTGCACAGTTCTAGAGTGTGCAG 1/10 [==>...........................] - ETA: 0s 2/10 [=====>........................] - ETA: 1s 3/10 [========>.....................] - ETA: 1s 4/10 [===========>..................] - ETA: 1s 5/10 [==============>...............] - ETA: 1s 6/10 [=================>............] - ETA: 0s 7/10 [====================>.........] - ETA: 0s 8/10 [=======================>......] - ETA: 0s 9/10 [==========================>...] - ETA: 0s 10/10 [==============================] - ETA: 0s 10/10 [==============================] - 2s 234ms/step 1/10 [==>...........................] - ETA: 0s 2/10 [=====>........................] - ETA: 1s 3/10 [========>.....................] - ETA: 1s 4/10 [===========>..................] - ETA: 1s 5/10 [==============>...............] - ETA: 1s 6/10 [=================>............] - ETA: 0s 7/10 [====================>.........] - ETA: 0s 8/10 [=======================>......] - ETA: 0s 9/10 [==========================>...] - ETA: 0s 10/10 [==============================] - ETA: 0s 10/10 [==============================] - 2s 234ms/step inserting motif: tn5_3 CCTCTACACTGTGCAGAA 1/10 [==>...........................] - ETA: 0s 2/10 [=====>........................] - ETA: 1s 3/10 [========>.....................] - ETA: 1s 4/10 [===========>..................] - ETA: 1s 5/10 [==============>...............] - ETA: 1s 6/10 [=================>............] - ETA: 0s 7/10 [====================>.........] - ETA: 0s 8/10 [=======================>......] - ETA: 0s 9/10 [==========================>...] - ETA: 0s 10/10 [==============================] - ETA: 0s 10/10 [==============================] - 2s 239ms/step 1/10 [==>...........................] - ETA: 0s 2/10 [=====>........................] - ETA: 1s 3/10 [========>.....................] - ETA: 1s 4/10 [===========>..................] - ETA: 1s 5/10 [==============>...............] - ETA: 1s 6/10 [=================>............] - ETA: 1s 7/10 [====================>.........] - ETA: 0s 8/10 [=======================>......] - ETA: 0s 9/10 [==========================>...] - ETA: 0s 10/10 [==============================] - ETA: 0s 10/10 [==============================] - 2s 259ms/step inserting motif: tn5_4 GCACAGTTCTAGACTGTGCAG 1/10 [==>...........................] - ETA: 0s 2/10 [=====>........................] - ETA: 1s 3/10 [========>.....................] - ETA: 1s 4/10 [===========>..................] - ETA: 1s 5/10 [==============>...............] - ETA: 1s 6/10 [=================>............] - ETA: 0s 7/10 [====================>.........] - ETA: 0s 8/10 [=======================>......] - ETA: 0s 9/10 [==========================>...] - ETA: 0s 10/10 [==============================] - ETA: 0s 10/10 [==============================] - 2s 236ms/step 1/10 [==>...........................] - ETA: 0s 2/10 [=====>........................] - ETA: 1s 3/10 [========>.....................] - ETA: 1s 4/10 [===========>..................] - ETA: 1s 5/10 [==============>...............] - ETA: 1s 6/10 [=================>............] - ETA: 0s 7/10 [====================>.........] - ETA: 0s 8/10 [=======================>......] - ETA: 0s 9/10 [==========================>...] - ETA: 0s 10/10 [==============================] - ETA: 0s 10/10 [==============================] - 2s 248ms/step inserting motif: tn5_5 CTGCACAGTGTAGAGTTGTGC 1/10 [==>...........................] - ETA: 0s 2/10 [=====>........................] - ETA: 1s 3/10 [========>.....................] - ETA: 1s 4/10 [===========>..................] - ETA: 1s 5/10 [==============>...............] - ETA: 1s 6/10 [=================>............] - ETA: 1s 7/10 [====================>.........] - ETA: 0s 8/10 [=======================>......] - ETA: 0s 9/10 [==========================>...] - ETA: 0s 10/10 [==============================] - ETA: 0s 10/10 [==============================] - 2s 252ms/step 1/10 [==>...........................] - ETA: 0s 2/10 [=====>........................] - ETA: 1s 3/10 [========>.....................] - ETA: 1s 4/10 [===========>..................] - ETA: 1s 5/10 [==============>...............] - ETA: 1s 6/10 [=================>............] - ETA: 0s 7/10 [====================>.........] - ETA: 0s 8/10 [=======================>......] - ETA: 0s 9/10 [==========================>...] - ETA: 0s 10/10 [==============================] - ETA: 0s 10/10 [==============================] - 2s 235ms/step Saving marginal footprints got the model Model: "model_1" __________________________________________________________________________________________________ Layer (type) Output Shape Param # Connected to ================================================================================================== sequence (InputLayer) [(None, 2114, 4)] 0 [] wo_bias_bpnet_1st_conv (Conv1D (None, 2094, 512) 43520 ['sequence[0][0]'] ) wo_bias_bpnet_1conv (Conv1D) (None, 2090, 512) 786944 ['wo_bias_bpnet_1st_conv[0][0]'] wo_bias_bpnet_1crop (Cropping1 (None, 2090, 512) 0 ['wo_bias_bpnet_1st_conv[0][0]'] D) add (Add) (None, 2090, 512) 0 ['wo_bias_bpnet_1conv[0][0]', 'wo_bias_bpnet_1crop[0][0]'] wo_bias_bpnet_2conv (Conv1D) (None, 2082, 512) 786944 ['add[0][0]'] wo_bias_bpnet_2crop (Cropping1 (None, 2082, 512) 0 ['add[0][0]'] D) add_1 (Add) (None, 2082, 512) 0 ['wo_bias_bpnet_2conv[0][0]', 'wo_bias_bpnet_2crop[0][0]'] wo_bias_bpnet_3conv (Conv1D) (None, 2066, 512) 786944 ['add_1[0][0]'] wo_bias_bpnet_3crop (Cropping1 (None, 2066, 512) 0 ['add_1[0][0]'] D) add_2 (Add) (None, 2066, 512) 0 ['wo_bias_bpnet_3conv[0][0]', 'wo_bias_bpnet_3crop[0][0]'] wo_bias_bpnet_4conv (Conv1D) (None, 2034, 512) 786944 ['add_2[0][0]'] wo_bias_bpnet_4crop (Cropping1 (None, 2034, 512) 0 ['add_2[0][0]'] D) add_3 (Add) (None, 2034, 512) 0 ['wo_bias_bpnet_4conv[0][0]', 'wo_bias_bpnet_4crop[0][0]'] wo_bias_bpnet_5conv (Conv1D) (None, 1970, 512) 786944 ['add_3[0][0]'] wo_bias_bpnet_5crop (Cropping1 (None, 1970, 512) 0 ['add_3[0][0]'] D) add_4 (Add) (None, 1970, 512) 0 ['wo_bias_bpnet_5conv[0][0]', 'wo_bias_bpnet_5crop[0][0]'] wo_bias_bpnet_6conv (Conv1D) (None, 1842, 512) 786944 ['add_4[0][0]'] wo_bias_bpnet_6crop (Cropping1 (None, 1842, 512) 0 ['add_4[0][0]'] D) add_5 (Add) (None, 1842, 512) 0 ['wo_bias_bpnet_6conv[0][0]', 'wo_bias_bpnet_6crop[0][0]'] wo_bias_bpnet_7conv (Conv1D) (None, 1586, 512) 786944 ['add_5[0][0]'] wo_bias_bpnet_7crop (Cropping1 (None, 1586, 512) 0 ['add_5[0][0]'] D) add_6 (Add) (None, 1586, 512) 0 ['wo_bias_bpnet_7conv[0][0]', 'wo_bias_bpnet_7crop[0][0]'] wo_bias_bpnet_8conv (Conv1D) (None, 1074, 512) 786944 ['add_6[0][0]'] wo_bias_bpnet_8crop (Cropping1 (None, 1074, 512) 0 ['add_6[0][0]'] D) add_7 (Add) (None, 1074, 512) 0 ['wo_bias_bpnet_8conv[0][0]', 'wo_bias_bpnet_8crop[0][0]'] wo_bias_bpnet_prof_out_precrop (None, 1000, 1) 38401 ['add_7[0][0]'] (Conv1D) wo_bias_bpnet_logitt_before_fl (None, 1000, 1) 0 ['wo_bias_bpnet_prof_out_precrop[ atten (Cropping1D) 0][0]'] gap (GlobalAveragePooling1D) (None, 512) 0 ['add_7[0][0]'] wo_bias_bpnet_logits_profile_p (None, 1000) 0 ['wo_bias_bpnet_logitt_before_fla redictions (Flatten) tten[0][0]'] wo_bias_bpnet_logcount_predict (None, 1) 513 ['gap[0][0]'] ions (Dense) ================================================================================================== Total params: 6,377,986 Trainable params: 6,377,986 Non-trainable params: 0 __________________________________________________________________________________________________ inferred model inputlen: 2114 Seqs dimension : (3123, 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 3123 Done 100 examples of 3123 Done 200 examples of 3123 Done 300 examples of 3123 Done 400 examples of 3123 Done 500 examples of 3123 Done 600 examples of 3123 Done 700 examples of 3123 Done 800 examples of 3123 Done 900 examples of 3123 Done 1000 examples of 3123 Done 1100 examples of 3123 Done 1200 examples of 3123 Done 1300 examples of 3123 Done 1400 examples of 3123 Done 1500 examples of 3123 Done 1600 examples of 3123 Done 1700 examples of 3123 Done 1800 examples of 3123 Done 1900 examples of 3123 Done 2000 examples of 3123 Done 2100 examples of 3123 Done 2200 examples of 3123 Done 2300 examples of 3123 Done 2400 examples of 3123 Done 2500 examples of 3123 Done 2600 examples of 3123 Done 2700 examples of 3123 Done 2800 examples of 3123 Done 2900 examples of 3123 Done 3000 examples of 3123 Done 3100 examples of 3123 Saving 'profile' scores