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: 7193 evaluating hyperparameters on the following chromosomes ['chr1', 'chr2', 'chr3', 'chr4', 'chr5', 'chr6', 'chr8', 'chr9', 'chr11', 'chr12', 'chr14', 'chr15', 'chr16', 'chr20', 'chr22', 'chrY', 'chr10', 'chr18'] Number of peaks input: 2402 Number of peaks filtered because the input/output is on the edge: 0 Number of peaks being used: 2402 Number of peaks input: 723 Number of peaks filtered because the input/output is on the edge: 0 Number of peaks being used: 723 Number of non peaks input: 4804 Number of non peaks filtered because the input/output is on the edge: 0 Number of non peaks being used: 4804 Number of non peaks input: 723 Number of non peaks filtered because the input/output is on the edge: 0 Number of non peaks being used: 723 Number of peaks after removing outliers: 2399 Number of nonpeaks after removing outliers: 381 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 1/12 [=>............................] - ETA: 15s 6/12 [==============>...............] - ETA: 0s  10/12 [========================>.....] - ETA: 0s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 2s 19ms/step got the model loading peaks... got split:test for bed regions:(723, 10) 0/12 Bias model pearsonr performance in peaks is: -0.11 {'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_4/models/bias_model_scaled.h5', 'inputlen': '2114', 'outputlen': '1000', 'max_jitter': '500', 'chr_fold_path': '/oak/stanford/groups/akundaje/soumyak/refs/hg38/splits/fold_4.json', 'negative_sampling_ratio': '0.1'} got the model loading peaks... got split:train for bed regions:(2184, 10) loading nonpeaks... got split:train for bed regions:(346, 10) loading peaks... got split:valid for bed regions:(215, 10) loading nonpeaks... got split:valid for bed regions:(35, 10) Epoch 1/50 1/38 [..............................] - ETA: 3:48 - loss: 23.6711 - logits_profile_predictions_loss: 22.4756 - logcount_predictions_loss: 1.1954 2/38 [>.............................] - ETA: 26s - loss: 23.0838 - logits_profile_predictions_loss: 22.3046 - logcount_predictions_loss: 0.7792  3/38 [=>............................] - ETA: 25s - loss: 22.8693 - logits_profile_predictions_loss: 22.1967 - logcount_predictions_loss: 0.6726 4/38 [==>...........................] - ETA: 24s - loss: 23.4546 - logits_profile_predictions_loss: 22.8411 - logcount_predictions_loss: 0.6136 5/38 [==>...........................] - ETA: 24s - loss: 24.6749 - logits_profile_predictions_loss: 24.0958 - logcount_predictions_loss: 0.5791 6/38 [===>..........................] - ETA: 23s - loss: 24.6164 - logits_profile_predictions_loss: 24.0500 - logcount_predictions_loss: 0.5664 7/38 [====>.........................] - ETA: 22s - loss: 24.0314 - logits_profile_predictions_loss: 23.5023 - logcount_predictions_loss: 0.5291 8/38 [=====>........................] - ETA: 21s - loss: 24.0659 - logits_profile_predictions_loss: 23.5485 - logcount_predictions_loss: 0.5174 9/38 [======>.......................] - ETA: 21s - loss: 23.7320 - logits_profile_predictions_loss: 23.2326 - logcount_predictions_loss: 0.4994 10/38 [======>.......................] - ETA: 20s - loss: 23.6765 - logits_profile_predictions_loss: 23.1786 - logcount_predictions_loss: 0.4978 11/38 [=======>......................] - ETA: 23s - loss: 23.5159 - logits_profile_predictions_loss: 23.0281 - logcount_predictions_loss: 0.4879 12/38 [========>.....................] - ETA: 22s - loss: 23.3322 - logits_profile_predictions_loss: 22.8570 - logcount_predictions_loss: 0.4752 13/38 [=========>....................] - ETA: 21s - loss: 23.1438 - logits_profile_predictions_loss: 22.6769 - logcount_predictions_loss: 0.4669 14/38 [==========>...................] - ETA: 20s - loss: 23.1963 - logits_profile_predictions_loss: 22.7304 - logcount_predictions_loss: 0.4660 15/38 [==========>...................] - ETA: 19s - loss: 23.1926 - logits_profile_predictions_loss: 22.7266 - logcount_predictions_loss: 0.4660 16/38 [===========>..................] - ETA: 18s - loss: 23.1505 - logits_profile_predictions_loss: 22.6917 - logcount_predictions_loss: 0.4589 17/38 [============>.................] - ETA: 17s - loss: 23.2214 - logits_profile_predictions_loss: 22.7632 - logcount_predictions_loss: 0.4582 18/38 [=============>................] - ETA: 16s - loss: 23.0547 - logits_profile_predictions_loss: 22.6071 - logcount_predictions_loss: 0.4475 19/38 [==============>...............] - ETA: 15s - loss: 22.9339 - logits_profile_predictions_loss: 22.4912 - logcount_predictions_loss: 0.4427 20/38 [==============>...............] - ETA: 14s - loss: 22.9188 - logits_profile_predictions_loss: 22.4789 - logcount_predictions_loss: 0.4399 21/38 [===============>..............] - ETA: 13s - loss: 22.9634 - logits_profile_predictions_loss: 22.5200 - logcount_predictions_loss: 0.4433 22/38 [================>.............] - ETA: 12s - loss: 22.8752 - logits_profile_predictions_loss: 22.4386 - logcount_predictions_loss: 0.4366 23/38 [=================>............] - ETA: 11s - loss: 22.8330 - logits_profile_predictions_loss: 22.3968 - logcount_predictions_loss: 0.4362 24/38 [=================>............] - ETA: 11s - loss: 22.8059 - logits_profile_predictions_loss: 22.3721 - logcount_predictions_loss: 0.4337 25/38 [==================>...........] - ETA: 10s - loss: 22.8159 - logits_profile_predictions_loss: 22.3811 - logcount_predictions_loss: 0.4348 26/38 [===================>..........] - ETA: 9s - loss: 22.8294 - logits_profile_predictions_loss: 22.3922 - logcount_predictions_loss: 0.4372  27/38 [====================>.........] - ETA: 8s - loss: 22.8413 - logits_profile_predictions_loss: 22.4034 - logcount_predictions_loss: 0.4380 28/38 [=====================>........] - ETA: 7s - loss: 22.7824 - logits_profile_predictions_loss: 22.3469 - logcount_predictions_loss: 0.4355 29/38 [=====================>........] - ETA: 6s - loss: 22.8239 - logits_profile_predictions_loss: 22.3881 - logcount_predictions_loss: 0.4358 30/38 [======================>.......] - ETA: 6s - loss: 22.8002 - logits_profile_predictions_loss: 22.3672 - logcount_predictions_loss: 0.4330 31/38 [=======================>......] - ETA: 5s - loss: 22.7950 - logits_profile_predictions_loss: 22.3608 - logcount_predictions_loss: 0.4341 32/38 [========================>.....] - ETA: 4s - loss: 22.8116 - logits_profile_predictions_loss: 22.3774 - logcount_predictions_loss: 0.4342 33/38 [=========================>....] - ETA: 3s - loss: 22.8014 - logits_profile_predictions_loss: 22.3691 - logcount_predictions_loss: 0.4323 34/38 [=========================>....] - ETA: 3s - loss: 22.8010 - logits_profile_predictions_loss: 22.3692 - logcount_predictions_loss: 0.4318 35/38 [==========================>...] - ETA: 2s - loss: 22.8303 - logits_profile_predictions_loss: 22.3969 - logcount_predictions_loss: 0.4334 36/38 [===========================>..] - ETA: 1s - loss: 22.8233 - logits_profile_predictions_loss: 22.3897 - logcount_predictions_loss: 0.4335 37/38 [============================>.] - ETA: 0s - loss: 22.8846 - logits_profile_predictions_loss: 22.4488 - logcount_predictions_loss: 0.4358 38/38 [==============================] - ETA: 0s - loss: 22.9038 - logits_profile_predictions_loss: 22.4683 - logcount_predictions_loss: 0.4355 Epoch 1: val_loss improved from inf to 25.25576, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.adipocyte.In/fold_4/models/chrombpnet.h5  38/38 [==============================] - 38s 862ms/step - loss: 22.9038 - logits_profile_predictions_loss: 22.4683 - logcount_predictions_loss: 0.4355 - val_loss: 25.2558 - val_logits_profile_predictions_loss: 24.7709 - val_logcount_predictions_loss: 0.4849 Epoch 2/50 1/38 [..............................] - ETA: 27s - loss: 22.9752 - logits_profile_predictions_loss: 22.4883 - logcount_predictions_loss: 0.4869 2/38 [>.............................] - ETA: 26s - loss: 22.4492 - logits_profile_predictions_loss: 21.9877 - logcount_predictions_loss: 0.4615 3/38 [=>............................] - ETA: 25s - loss: 22.8686 - logits_profile_predictions_loss: 22.4044 - logcount_predictions_loss: 0.4642 4/38 [==>...........................] - ETA: 24s - loss: 22.4453 - logits_profile_predictions_loss: 22.0236 - logcount_predictions_loss: 0.4217 5/38 [==>...........................] - ETA: 23s - loss: 22.5747 - logits_profile_predictions_loss: 22.1534 - logcount_predictions_loss: 0.4214 6/38 [===>..........................] - ETA: 23s - loss: 22.7196 - logits_profile_predictions_loss: 22.2833 - logcount_predictions_loss: 0.4363 7/38 [====>.........................] - ETA: 22s - loss: 22.4579 - logits_profile_predictions_loss: 22.0249 - logcount_predictions_loss: 0.4330 8/38 [=====>........................] - ETA: 21s - loss: 22.4918 - logits_profile_predictions_loss: 22.0666 - logcount_predictions_loss: 0.4252 9/38 [======>.......................] - ETA: 21s - loss: 22.5083 - logits_profile_predictions_loss: 22.0702 - logcount_predictions_loss: 0.4381 10/38 [======>.......................] - ETA: 20s - loss: 22.3831 - logits_profile_predictions_loss: 21.9551 - logcount_predictions_loss: 0.4280 11/38 [=======>......................] - ETA: 19s - loss: 22.3404 - logits_profile_predictions_loss: 21.9155 - logcount_predictions_loss: 0.4249 12/38 [========>.....................] - ETA: 18s - loss: 22.3126 - logits_profile_predictions_loss: 21.8882 - logcount_predictions_loss: 0.4244 13/38 [=========>....................] - ETA: 18s - loss: 22.2709 - logits_profile_predictions_loss: 21.8479 - logcount_predictions_loss: 0.4230 14/38 [==========>...................] - ETA: 17s - loss: 22.4265 - logits_profile_predictions_loss: 21.9976 - logcount_predictions_loss: 0.4290 15/38 [==========>...................] - ETA: 16s - loss: 22.2924 - logits_profile_predictions_loss: 21.8700 - logcount_predictions_loss: 0.4224 16/38 [===========>..................] - ETA: 15s - loss: 22.2049 - logits_profile_predictions_loss: 21.7871 - logcount_predictions_loss: 0.4178 17/38 [============>.................] - ETA: 14s - loss: 22.2241 - logits_profile_predictions_loss: 21.8053 - logcount_predictions_loss: 0.4188 18/38 [=============>................] - ETA: 14s - loss: 22.2032 - logits_profile_predictions_loss: 21.7879 - logcount_predictions_loss: 0.4153 19/38 [==============>...............] - ETA: 13s - loss: 22.2754 - logits_profile_predictions_loss: 21.8566 - logcount_predictions_loss: 0.4188 20/38 [==============>...............] - ETA: 12s - loss: 22.2987 - logits_profile_predictions_loss: 21.8791 - logcount_predictions_loss: 0.4196 21/38 [===============>..............] - ETA: 12s - loss: 22.3512 - logits_profile_predictions_loss: 21.9295 - logcount_predictions_loss: 0.4217 22/38 [================>.............] - ETA: 11s - loss: 22.4247 - logits_profile_predictions_loss: 21.9973 - logcount_predictions_loss: 0.4274 23/38 [=================>............] - ETA: 10s - loss: 22.4680 - logits_profile_predictions_loss: 22.0368 - logcount_predictions_loss: 0.4312 24/38 [=================>............] - ETA: 9s - loss: 22.4547 - logits_profile_predictions_loss: 22.0251 - logcount_predictions_loss: 0.4295  25/38 [==================>...........] - ETA: 9s - loss: 22.4475 - logits_profile_predictions_loss: 22.0193 - logcount_predictions_loss: 0.4283 26/38 [===================>..........] - ETA: 8s - loss: 22.4334 - logits_profile_predictions_loss: 22.0063 - logcount_predictions_loss: 0.4271 27/38 [====================>.........] - ETA: 7s - loss: 22.4011 - logits_profile_predictions_loss: 21.9777 - logcount_predictions_loss: 0.4234 28/38 [=====================>........] - ETA: 7s - loss: 22.3620 - logits_profile_predictions_loss: 21.9418 - logcount_predictions_loss: 0.4202 29/38 [=====================>........] - ETA: 6s - loss: 22.4144 - logits_profile_predictions_loss: 21.9920 - logcount_predictions_loss: 0.4224 30/38 [======================>.......] - ETA: 5s - loss: 22.4350 - logits_profile_predictions_loss: 22.0119 - logcount_predictions_loss: 0.4231 31/38 [=======================>......] - ETA: 4s - loss: 22.4354 - logits_profile_predictions_loss: 22.0117 - logcount_predictions_loss: 0.4237 32/38 [========================>.....] - ETA: 4s - loss: 22.3933 - logits_profile_predictions_loss: 21.9720 - logcount_predictions_loss: 0.4213 33/38 [=========================>....] - ETA: 3s - loss: 22.3911 - logits_profile_predictions_loss: 21.9716 - logcount_predictions_loss: 0.4195 34/38 [=========================>....] - ETA: 2s - loss: 22.4146 - logits_profile_predictions_loss: 21.9933 - logcount_predictions_loss: 0.4213 35/38 [==========================>...] - ETA: 2s - loss: 22.4076 - logits_profile_predictions_loss: 21.9866 - logcount_predictions_loss: 0.4209 36/38 [===========================>..] - ETA: 1s - loss: 22.3733 - logits_profile_predictions_loss: 21.9551 - logcount_predictions_loss: 0.4182 37/38 [============================>.] - ETA: 0s - loss: 22.3585 - logits_profile_predictions_loss: 21.9401 - logcount_predictions_loss: 0.4184 38/38 [==============================] - ETA: 0s - loss: 22.3834 - logits_profile_predictions_loss: 21.9658 - logcount_predictions_loss: 0.4176 Epoch 2: val_loss improved from 25.25576 to 25.12351, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.adipocyte.In/fold_4/models/chrombpnet.h5  38/38 [==============================] - 29s 761ms/step - loss: 22.3834 - logits_profile_predictions_loss: 21.9658 - logcount_predictions_loss: 0.4176 - val_loss: 25.1235 - val_logits_profile_predictions_loss: 24.6386 - val_logcount_predictions_loss: 0.4849 Epoch 3/50 1/38 [..............................] - ETA: 27s - loss: 23.4495 - logits_profile_predictions_loss: 22.9644 - logcount_predictions_loss: 0.4851 2/38 [>.............................] - ETA: 26s - loss: 22.7616 - logits_profile_predictions_loss: 22.3356 - logcount_predictions_loss: 0.4260 3/38 [=>............................] - ETA: 25s - loss: 22.8095 - logits_profile_predictions_loss: 22.3828 - logcount_predictions_loss: 0.4267 4/38 [==>...........................] - ETA: 24s - loss: 23.0007 - logits_profile_predictions_loss: 22.5461 - logcount_predictions_loss: 0.4545 5/38 [==>...........................] - ETA: 23s - loss: 22.5399 - logits_profile_predictions_loss: 22.1154 - logcount_predictions_loss: 0.4245 6/38 [===>..........................] - ETA: 23s - loss: 22.2541 - logits_profile_predictions_loss: 21.8491 - logcount_predictions_loss: 0.4050 7/38 [====>.........................] - ETA: 22s - loss: 22.3493 - logits_profile_predictions_loss: 21.9400 - logcount_predictions_loss: 0.4093 8/38 [=====>........................] - ETA: 21s - loss: 22.4420 - logits_profile_predictions_loss: 22.0185 - logcount_predictions_loss: 0.4235 9/38 [======>.......................] - ETA: 20s - loss: 22.2481 - logits_profile_predictions_loss: 21.8282 - logcount_predictions_loss: 0.4198 10/38 [======>.......................] - ETA: 20s - loss: 22.3385 - logits_profile_predictions_loss: 21.9070 - logcount_predictions_loss: 0.4315 11/38 [=======>......................] - ETA: 19s - loss: 22.4235 - logits_profile_predictions_loss: 21.9926 - logcount_predictions_loss: 0.4309 12/38 [========>.....................] - ETA: 18s - loss: 22.3896 - logits_profile_predictions_loss: 21.9603 - logcount_predictions_loss: 0.4293 13/38 [=========>....................] - ETA: 17s - loss: 22.3745 - logits_profile_predictions_loss: 21.9440 - logcount_predictions_loss: 0.4305 14/38 [==========>...................] - ETA: 16s - loss: 22.2890 - logits_profile_predictions_loss: 21.8629 - logcount_predictions_loss: 0.4261 15/38 [==========>...................] - ETA: 16s - loss: 22.3253 - logits_profile_predictions_loss: 21.8977 - logcount_predictions_loss: 0.4276 16/38 [===========>..................] - ETA: 15s - loss: 22.3621 - logits_profile_predictions_loss: 21.9359 - logcount_predictions_loss: 0.4262 17/38 [============>.................] - ETA: 14s - loss: 22.2539 - logits_profile_predictions_loss: 21.8304 - logcount_predictions_loss: 0.4235 18/38 [=============>................] - ETA: 14s - loss: 22.2364 - logits_profile_predictions_loss: 21.8122 - logcount_predictions_loss: 0.4242 19/38 [==============>...............] - ETA: 13s - loss: 22.2300 - logits_profile_predictions_loss: 21.8087 - logcount_predictions_loss: 0.4213 20/38 [==============>...............] - ETA: 12s - loss: 22.1725 - logits_profile_predictions_loss: 21.7515 - logcount_predictions_loss: 0.4210 21/38 [===============>..............] - ETA: 12s - loss: 22.0658 - logits_profile_predictions_loss: 21.6483 - logcount_predictions_loss: 0.4174 22/38 [================>.............] - ETA: 11s - loss: 22.0500 - logits_profile_predictions_loss: 21.6357 - logcount_predictions_loss: 0.4143 23/38 [=================>............] - ETA: 10s - loss: 22.0684 - logits_profile_predictions_loss: 21.6517 - logcount_predictions_loss: 0.4167 24/38 [=================>............] - ETA: 9s - loss: 22.1042 - logits_profile_predictions_loss: 21.6882 - logcount_predictions_loss: 0.4160  25/38 [==================>...........] - ETA: 9s - loss: 22.1225 - logits_profile_predictions_loss: 21.7049 - logcount_predictions_loss: 0.4176 26/38 [===================>..........] - ETA: 8s - loss: 22.1494 - logits_profile_predictions_loss: 21.7310 - logcount_predictions_loss: 0.4184 27/38 [====================>.........] - ETA: 7s - loss: 22.1369 - logits_profile_predictions_loss: 21.7205 - logcount_predictions_loss: 0.4164 28/38 [=====================>........] - ETA: 7s - loss: 22.1568 - logits_profile_predictions_loss: 21.7378 - logcount_predictions_loss: 0.4190 29/38 [=====================>........] - ETA: 6s - loss: 22.2275 - logits_profile_predictions_loss: 21.8060 - logcount_predictions_loss: 0.4215 30/38 [======================>.......] - ETA: 5s - loss: 22.2751 - logits_profile_predictions_loss: 21.8520 - logcount_predictions_loss: 0.4231 31/38 [=======================>......] - ETA: 4s - loss: 22.2910 - logits_profile_predictions_loss: 21.8672 - logcount_predictions_loss: 0.4238 32/38 [========================>.....] - ETA: 4s - loss: 22.2246 - logits_profile_predictions_loss: 21.8018 - logcount_predictions_loss: 0.4228 33/38 [=========================>....] - ETA: 3s - loss: 22.1930 - logits_profile_predictions_loss: 21.7722 - logcount_predictions_loss: 0.4208 34/38 [=========================>....] - ETA: 2s - loss: 22.2490 - logits_profile_predictions_loss: 21.8275 - logcount_predictions_loss: 0.4215 35/38 [==========================>...] - ETA: 2s - loss: 22.2317 - logits_profile_predictions_loss: 21.8108 - logcount_predictions_loss: 0.4209 36/38 [===========================>..] - ETA: 1s - loss: 22.1841 - logits_profile_predictions_loss: 21.7658 - logcount_predictions_loss: 0.4183 37/38 [============================>.] - ETA: 0s - loss: 22.1837 - logits_profile_predictions_loss: 21.7662 - logcount_predictions_loss: 0.4175 38/38 [==============================] - ETA: 0s - loss: 22.1333 - logits_profile_predictions_loss: 21.7179 - logcount_predictions_loss: 0.4154 Epoch 3: val_loss improved from 25.12351 to 25.04888, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.adipocyte.In/fold_4/models/chrombpnet.h5  38/38 [==============================] - 29s 763ms/step - loss: 22.1333 - logits_profile_predictions_loss: 21.7179 - logcount_predictions_loss: 0.4154 - val_loss: 25.0489 - val_logits_profile_predictions_loss: 24.5640 - val_logcount_predictions_loss: 0.4849 Epoch 4/50 1/38 [..............................] - ETA: 27s - loss: 21.1333 - logits_profile_predictions_loss: 20.7738 - logcount_predictions_loss: 0.3595 2/38 [>.............................] - ETA: 26s - loss: 21.9477 - logits_profile_predictions_loss: 21.5519 - logcount_predictions_loss: 0.3958 3/38 [=>............................] - ETA: 25s - loss: 21.1694 - logits_profile_predictions_loss: 20.8049 - logcount_predictions_loss: 0.3645 4/38 [==>...........................] - ETA: 24s - loss: 21.4666 - logits_profile_predictions_loss: 21.0694 - logcount_predictions_loss: 0.3972 5/38 [==>...........................] - ETA: 23s - loss: 21.7352 - logits_profile_predictions_loss: 21.3490 - logcount_predictions_loss: 0.3862 6/38 [===>..........................] - ETA: 21s - loss: 22.0558 - logits_profile_predictions_loss: 21.6475 - logcount_predictions_loss: 0.4083 7/38 [====>.........................] - ETA: 20s - loss: 22.0915 - logits_profile_predictions_loss: 21.6771 - logcount_predictions_loss: 0.4143 8/38 [=====>........................] - ETA: 20s - loss: 22.0407 - logits_profile_predictions_loss: 21.6218 - logcount_predictions_loss: 0.4189 9/38 [======>.......................] - ETA: 19s - loss: 22.1653 - logits_profile_predictions_loss: 21.7370 - logcount_predictions_loss: 0.4283 10/38 [======>.......................] - ETA: 19s - loss: 22.0785 - logits_profile_predictions_loss: 21.6570 - logcount_predictions_loss: 0.4215 11/38 [=======>......................] - ETA: 18s - loss: 22.0170 - logits_profile_predictions_loss: 21.6003 - logcount_predictions_loss: 0.4167 12/38 [========>.....................] - ETA: 18s - loss: 22.0536 - logits_profile_predictions_loss: 21.6420 - logcount_predictions_loss: 0.4116 13/38 [=========>....................] - ETA: 17s - loss: 22.0399 - logits_profile_predictions_loss: 21.6295 - logcount_predictions_loss: 0.4104 14/38 [==========>...................] - ETA: 16s - loss: 22.1628 - logits_profile_predictions_loss: 21.7466 - logcount_predictions_loss: 0.4162 15/38 [==========>...................] - ETA: 16s - loss: 22.0712 - logits_profile_predictions_loss: 21.6589 - logcount_predictions_loss: 0.4123 16/38 [===========>..................] - ETA: 15s - loss: 22.0697 - logits_profile_predictions_loss: 21.6573 - logcount_predictions_loss: 0.4124 17/38 [============>.................] - ETA: 14s - loss: 22.0818 - logits_profile_predictions_loss: 21.6668 - logcount_predictions_loss: 0.4150 18/38 [=============>................] - ETA: 14s - loss: 22.0924 - logits_profile_predictions_loss: 21.6808 - logcount_predictions_loss: 0.4116 19/38 [==============>...............] - ETA: 13s - loss: 22.0830 - logits_profile_predictions_loss: 21.6709 - logcount_predictions_loss: 0.4121 20/38 [==============>...............] - ETA: 12s - loss: 22.0241 - logits_profile_predictions_loss: 21.6182 - logcount_predictions_loss: 0.4059 21/38 [===============>..............] - ETA: 12s - loss: 22.0852 - logits_profile_predictions_loss: 21.6776 - logcount_predictions_loss: 0.4076 22/38 [================>.............] - ETA: 11s - loss: 22.1478 - logits_profile_predictions_loss: 21.7394 - logcount_predictions_loss: 0.4084 23/38 [=================>............] - ETA: 10s - loss: 22.1123 - logits_profile_predictions_loss: 21.7045 - logcount_predictions_loss: 0.4078 24/38 [=================>............] - ETA: 9s - loss: 22.0078 - logits_profile_predictions_loss: 21.6046 - logcount_predictions_loss: 0.4032  25/38 [==================>...........] - ETA: 9s - loss: 21.9613 - logits_profile_predictions_loss: 21.5573 - logcount_predictions_loss: 0.4040 26/38 [===================>..........] - ETA: 8s - loss: 21.9110 - logits_profile_predictions_loss: 21.5099 - logcount_predictions_loss: 0.4012 27/38 [====================>.........] - ETA: 7s - loss: 21.9198 - logits_profile_predictions_loss: 21.5176 - logcount_predictions_loss: 0.4022 28/38 [=====================>........] - ETA: 7s - loss: 21.8860 - logits_profile_predictions_loss: 21.4827 - logcount_predictions_loss: 0.4033 29/38 [=====================>........] - ETA: 6s - loss: 21.9599 - logits_profile_predictions_loss: 21.5525 - logcount_predictions_loss: 0.4073 30/38 [======================>.......] - ETA: 5s - loss: 21.9833 - logits_profile_predictions_loss: 21.5750 - logcount_predictions_loss: 0.4083 31/38 [=======================>......] - ETA: 5s - loss: 21.9867 - logits_profile_predictions_loss: 21.5785 - logcount_predictions_loss: 0.4081 32/38 [========================>.....] - ETA: 4s - loss: 21.9751 - logits_profile_predictions_loss: 21.5663 - logcount_predictions_loss: 0.4089 33/38 [=========================>....] - ETA: 3s - loss: 22.0006 - logits_profile_predictions_loss: 21.5904 - logcount_predictions_loss: 0.4102 34/38 [=========================>....] - ETA: 2s - loss: 22.0116 - logits_profile_predictions_loss: 21.5994 - logcount_predictions_loss: 0.4122 35/38 [==========================>...] - ETA: 2s - loss: 22.0033 - logits_profile_predictions_loss: 21.5920 - logcount_predictions_loss: 0.4113 36/38 [===========================>..] - ETA: 1s - loss: 21.9882 - logits_profile_predictions_loss: 21.5776 - logcount_predictions_loss: 0.4107 37/38 [============================>.] - ETA: 0s - loss: 21.9747 - logits_profile_predictions_loss: 21.5633 - logcount_predictions_loss: 0.4114 38/38 [==============================] - ETA: 0s - loss: 22.0123 - logits_profile_predictions_loss: 21.5996 - logcount_predictions_loss: 0.4128 Epoch 4: val_loss improved from 25.04888 to 24.93237, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.adipocyte.In/fold_4/models/chrombpnet.h5  38/38 [==============================] - 29s 764ms/step - loss: 22.0123 - logits_profile_predictions_loss: 21.5996 - logcount_predictions_loss: 0.4128 - val_loss: 24.9324 - val_logits_profile_predictions_loss: 24.4475 - val_logcount_predictions_loss: 0.4849 Epoch 5/50 1/38 [..............................] - ETA: 27s - loss: 22.2270 - logits_profile_predictions_loss: 21.7885 - logcount_predictions_loss: 0.4384 2/38 [>.............................] - ETA: 26s - loss: 21.8762 - logits_profile_predictions_loss: 21.4607 - logcount_predictions_loss: 0.4155 3/38 [=>............................] - ETA: 25s - loss: 21.8561 - logits_profile_predictions_loss: 21.4371 - logcount_predictions_loss: 0.4190 4/38 [==>...........................] - ETA: 24s - loss: 21.4758 - logits_profile_predictions_loss: 21.0701 - logcount_predictions_loss: 0.4057 5/38 [==>...........................] - ETA: 23s - loss: 21.9267 - logits_profile_predictions_loss: 21.4953 - logcount_predictions_loss: 0.4314 6/38 [===>..........................] - ETA: 23s - loss: 21.7346 - logits_profile_predictions_loss: 21.3137 - logcount_predictions_loss: 0.4208 7/38 [====>.........................] - ETA: 22s - loss: 21.6635 - logits_profile_predictions_loss: 21.2405 - logcount_predictions_loss: 0.4230 8/38 [=====>........................] - ETA: 20s - loss: 21.7107 - logits_profile_predictions_loss: 21.2854 - logcount_predictions_loss: 0.4253 9/38 [======>.......................] - ETA: 19s - loss: 21.4897 - logits_profile_predictions_loss: 21.0747 - logcount_predictions_loss: 0.4150 10/38 [======>.......................] - ETA: 19s - loss: 21.5385 - logits_profile_predictions_loss: 21.1219 - logcount_predictions_loss: 0.4167 11/38 [=======>......................] - ETA: 18s - loss: 21.4570 - logits_profile_predictions_loss: 21.0491 - logcount_predictions_loss: 0.4079 12/38 [========>.....................] - ETA: 18s - loss: 21.6037 - logits_profile_predictions_loss: 21.1920 - logcount_predictions_loss: 0.4118 13/38 [=========>....................] - ETA: 17s - loss: 21.6208 - logits_profile_predictions_loss: 21.2105 - logcount_predictions_loss: 0.4103 14/38 [==========>...................] - ETA: 16s - loss: 21.7321 - logits_profile_predictions_loss: 21.3158 - logcount_predictions_loss: 0.4163 15/38 [==========>...................] - ETA: 16s - loss: 21.8152 - logits_profile_predictions_loss: 21.3926 - logcount_predictions_loss: 0.4226 16/38 [===========>..................] - ETA: 15s - loss: 21.7517 - logits_profile_predictions_loss: 21.3310 - logcount_predictions_loss: 0.4207 17/38 [============>.................] - ETA: 14s - loss: 21.7976 - logits_profile_predictions_loss: 21.3724 - logcount_predictions_loss: 0.4253 18/38 [=============>................] - ETA: 14s - loss: 21.9326 - logits_profile_predictions_loss: 21.5015 - logcount_predictions_loss: 0.4311 19/38 [==============>...............] - ETA: 13s - loss: 21.9135 - logits_profile_predictions_loss: 21.4849 - logcount_predictions_loss: 0.4286 20/38 [==============>...............] - ETA: 12s - loss: 21.9179 - logits_profile_predictions_loss: 21.4908 - logcount_predictions_loss: 0.4271 21/38 [===============>..............] - ETA: 12s - loss: 21.9485 - logits_profile_predictions_loss: 21.5189 - logcount_predictions_loss: 0.4296 22/38 [================>.............] - ETA: 11s - loss: 21.9421 - logits_profile_predictions_loss: 21.5162 - logcount_predictions_loss: 0.4258 23/38 [=================>............] - ETA: 10s - loss: 21.9199 - logits_profile_predictions_loss: 21.4947 - logcount_predictions_loss: 0.4253 24/38 [=================>............] - ETA: 9s - loss: 21.9327 - logits_profile_predictions_loss: 21.5050 - logcount_predictions_loss: 0.4277  25/38 [==================>...........] - ETA: 9s - loss: 21.9552 - logits_profile_predictions_loss: 21.5252 - logcount_predictions_loss: 0.4299 26/38 [===================>..........] - ETA: 8s - loss: 21.9772 - logits_profile_predictions_loss: 21.5476 - logcount_predictions_loss: 0.4295 27/38 [====================>.........] - ETA: 7s - loss: 21.9286 - logits_profile_predictions_loss: 21.5027 - logcount_predictions_loss: 0.4259 28/38 [=====================>........] - ETA: 7s - loss: 21.9004 - logits_profile_predictions_loss: 21.4732 - logcount_predictions_loss: 0.4272 29/38 [=====================>........] - ETA: 6s - loss: 21.9797 - logits_profile_predictions_loss: 21.5512 - logcount_predictions_loss: 0.4286 30/38 [======================>.......] - ETA: 5s - loss: 21.9607 - logits_profile_predictions_loss: 21.5357 - logcount_predictions_loss: 0.4250 31/38 [=======================>......] - ETA: 5s - loss: 21.9497 - logits_profile_predictions_loss: 21.5258 - logcount_predictions_loss: 0.4239 32/38 [========================>.....] - ETA: 4s - loss: 21.8973 - logits_profile_predictions_loss: 21.4763 - logcount_predictions_loss: 0.4209 33/38 [=========================>....] - ETA: 3s - loss: 21.8646 - logits_profile_predictions_loss: 21.4460 - logcount_predictions_loss: 0.4186 34/38 [=========================>....] - ETA: 2s - loss: 21.8888 - logits_profile_predictions_loss: 21.4698 - logcount_predictions_loss: 0.4190 35/38 [==========================>...] - ETA: 2s - loss: 21.8661 - logits_profile_predictions_loss: 21.4496 - logcount_predictions_loss: 0.4165 36/38 [===========================>..] - ETA: 1s - loss: 21.8871 - logits_profile_predictions_loss: 21.4705 - logcount_predictions_loss: 0.4166 37/38 [============================>.] - ETA: 0s - loss: 21.8781 - logits_profile_predictions_loss: 21.4629 - logcount_predictions_loss: 0.4153 38/38 [==============================] - ETA: 0s - loss: 21.8470 - logits_profile_predictions_loss: 21.4341 - logcount_predictions_loss: 0.4129 Epoch 5: val_loss did not improve from 24.93237  38/38 [==============================] - 29s 754ms/step - loss: 21.8470 - logits_profile_predictions_loss: 21.4341 - logcount_predictions_loss: 0.4129 - val_loss: 25.3852 - val_logits_profile_predictions_loss: 24.9003 - val_logcount_predictions_loss: 0.4849 Epoch 6/50 1/38 [..............................] - ETA: 27s - loss: 23.1017 - logits_profile_predictions_loss: 22.6825 - logcount_predictions_loss: 0.4192 2/38 [>.............................] - ETA: 26s - loss: 22.7799 - logits_profile_predictions_loss: 22.3427 - logcount_predictions_loss: 0.4372 3/38 [=>............................] - ETA: 25s - loss: 22.6871 - logits_profile_predictions_loss: 22.2517 - logcount_predictions_loss: 0.4354 4/38 [==>...........................] - ETA: 24s - loss: 22.1843 - logits_profile_predictions_loss: 21.7533 - logcount_predictions_loss: 0.4309 5/38 [==>...........................] - ETA: 23s - loss: 22.2484 - logits_profile_predictions_loss: 21.8063 - logcount_predictions_loss: 0.4422 6/38 [===>..........................] - ETA: 23s - loss: 22.1214 - logits_profile_predictions_loss: 21.6884 - logcount_predictions_loss: 0.4330 7/38 [====>.........................] - ETA: 22s - loss: 21.8829 - logits_profile_predictions_loss: 21.4600 - logcount_predictions_loss: 0.4229 8/38 [=====>........................] - ETA: 21s - loss: 21.7637 - logits_profile_predictions_loss: 21.3450 - logcount_predictions_loss: 0.4187 9/38 [======>.......................] - ETA: 21s - loss: 21.6279 - logits_profile_predictions_loss: 21.2143 - logcount_predictions_loss: 0.4136 10/38 [======>.......................] - ETA: 20s - loss: 21.7568 - logits_profile_predictions_loss: 21.3331 - logcount_predictions_loss: 0.4237 11/38 [=======>......................] - ETA: 18s - loss: 21.6765 - logits_profile_predictions_loss: 21.2582 - logcount_predictions_loss: 0.4183 12/38 [========>.....................] - ETA: 18s - loss: 21.5076 - logits_profile_predictions_loss: 21.0968 - logcount_predictions_loss: 0.4108 13/38 [=========>....................] - ETA: 17s - loss: 21.5510 - logits_profile_predictions_loss: 21.1368 - logcount_predictions_loss: 0.4142 14/38 [==========>...................] - ETA: 16s - loss: 21.4990 - logits_profile_predictions_loss: 21.0856 - logcount_predictions_loss: 0.4133 15/38 [==========>...................] - ETA: 16s - loss: 21.5929 - logits_profile_predictions_loss: 21.1768 - logcount_predictions_loss: 0.4161 16/38 [===========>..................] - ETA: 15s - loss: 21.5659 - logits_profile_predictions_loss: 21.1514 - logcount_predictions_loss: 0.4145 17/38 [============>.................] - ETA: 14s - loss: 21.5349 - logits_profile_predictions_loss: 21.1224 - logcount_predictions_loss: 0.4124 18/38 [=============>................] - ETA: 14s - loss: 21.5176 - logits_profile_predictions_loss: 21.1075 - logcount_predictions_loss: 0.4101 19/38 [==============>...............] - ETA: 13s - loss: 21.4923 - logits_profile_predictions_loss: 21.0814 - logcount_predictions_loss: 0.4108 20/38 [==============>...............] - ETA: 12s - loss: 21.5027 - logits_profile_predictions_loss: 21.0942 - logcount_predictions_loss: 0.4086 21/38 [===============>..............] - ETA: 12s - loss: 21.4753 - logits_profile_predictions_loss: 21.0682 - logcount_predictions_loss: 0.4071 22/38 [================>.............] - ETA: 11s - loss: 21.4447 - logits_profile_predictions_loss: 21.0412 - logcount_predictions_loss: 0.4034 23/38 [=================>............] - ETA: 10s - loss: 21.4777 - logits_profile_predictions_loss: 21.0731 - logcount_predictions_loss: 0.4046 24/38 [=================>............] - ETA: 9s - loss: 21.4524 - logits_profile_predictions_loss: 21.0497 - logcount_predictions_loss: 0.4027  25/38 [==================>...........] - ETA: 9s - loss: 21.3925 - logits_profile_predictions_loss: 20.9932 - logcount_predictions_loss: 0.3993 26/38 [===================>..........] - ETA: 8s - loss: 21.4090 - logits_profile_predictions_loss: 21.0072 - logcount_predictions_loss: 0.4019 27/38 [====================>.........] - ETA: 7s - loss: 21.4117 - logits_profile_predictions_loss: 21.0083 - logcount_predictions_loss: 0.4034 28/38 [=====================>........] - ETA: 7s - loss: 21.4198 - logits_profile_predictions_loss: 21.0185 - logcount_predictions_loss: 0.4013 29/38 [=====================>........] - ETA: 6s - loss: 21.4386 - logits_profile_predictions_loss: 21.0363 - logcount_predictions_loss: 0.4023 30/38 [======================>.......] - ETA: 5s - loss: 21.4339 - logits_profile_predictions_loss: 21.0310 - logcount_predictions_loss: 0.4029 31/38 [=======================>......] - ETA: 5s - loss: 21.4439 - logits_profile_predictions_loss: 21.0397 - logcount_predictions_loss: 0.4042 32/38 [========================>.....] - ETA: 4s - loss: 21.4641 - logits_profile_predictions_loss: 21.0585 - logcount_predictions_loss: 0.4056 33/38 [=========================>....] - ETA: 3s - loss: 21.5047 - logits_profile_predictions_loss: 21.0969 - logcount_predictions_loss: 0.4077 34/38 [=========================>....] - ETA: 2s - loss: 21.4964 - logits_profile_predictions_loss: 21.0881 - logcount_predictions_loss: 0.4083 35/38 [==========================>...] - ETA: 2s - loss: 21.4775 - logits_profile_predictions_loss: 21.0696 - logcount_predictions_loss: 0.4079 36/38 [===========================>..] - ETA: 1s - loss: 21.5122 - logits_profile_predictions_loss: 21.1026 - logcount_predictions_loss: 0.4096 37/38 [============================>.] - ETA: 0s - loss: 21.5501 - logits_profile_predictions_loss: 21.1405 - logcount_predictions_loss: 0.4096 38/38 [==============================] - ETA: 0s - loss: 21.5242 - logits_profile_predictions_loss: 21.1150 - logcount_predictions_loss: 0.4093 Epoch 6: val_loss did not improve from 24.93237  38/38 [==============================] - 29s 755ms/step - loss: 21.5242 - logits_profile_predictions_loss: 21.1150 - logcount_predictions_loss: 0.4093 - val_loss: 25.0165 - val_logits_profile_predictions_loss: 24.5316 - val_logcount_predictions_loss: 0.4849 Epoch 7/50 1/38 [..............................] - ETA: 27s - loss: 22.2352 - logits_profile_predictions_loss: 21.7422 - logcount_predictions_loss: 0.4930 2/38 [>.............................] - ETA: 26s - loss: 22.1698 - logits_profile_predictions_loss: 21.6992 - logcount_predictions_loss: 0.4706 3/38 [=>............................] - ETA: 25s - loss: 21.8586 - logits_profile_predictions_loss: 21.3865 - logcount_predictions_loss: 0.4721 4/38 [==>...........................] - ETA: 24s - loss: 21.8673 - logits_profile_predictions_loss: 21.4086 - logcount_predictions_loss: 0.4587 5/38 [==>...........................] - ETA: 23s - loss: 21.6254 - logits_profile_predictions_loss: 21.1832 - logcount_predictions_loss: 0.4422 6/38 [===>..........................] - ETA: 23s - loss: 21.5352 - logits_profile_predictions_loss: 21.0953 - logcount_predictions_loss: 0.4400 7/38 [====>.........................] - ETA: 22s - loss: 21.8098 - logits_profile_predictions_loss: 21.3565 - logcount_predictions_loss: 0.4533 8/38 [=====>........................] - ETA: 21s - loss: 21.8589 - logits_profile_predictions_loss: 21.4054 - logcount_predictions_loss: 0.4535 9/38 [======>.......................] - ETA: 21s - loss: 21.7656 - logits_profile_predictions_loss: 21.3181 - logcount_predictions_loss: 0.4475 10/38 [======>.......................] - ETA: 20s - loss: 21.6350 - logits_profile_predictions_loss: 21.2024 - logcount_predictions_loss: 0.4325 11/38 [=======>......................] - ETA: 19s - loss: 21.6564 - logits_profile_predictions_loss: 21.2216 - logcount_predictions_loss: 0.4348 12/38 [========>.....................] - ETA: 18s - loss: 21.6826 - logits_profile_predictions_loss: 21.2466 - logcount_predictions_loss: 0.4360 13/38 [=========>....................] - ETA: 18s - loss: 21.6642 - logits_profile_predictions_loss: 21.2264 - logcount_predictions_loss: 0.4378 14/38 [==========>...................] - ETA: 17s - loss: 21.6242 - logits_profile_predictions_loss: 21.1943 - logcount_predictions_loss: 0.4299 15/38 [==========>...................] - ETA: 16s - loss: 21.6070 - logits_profile_predictions_loss: 21.1774 - logcount_predictions_loss: 0.4296 16/38 [===========>..................] - ETA: 15s - loss: 21.4986 - logits_profile_predictions_loss: 21.0745 - logcount_predictions_loss: 0.4241 17/38 [============>.................] - ETA: 15s - loss: 21.4226 - logits_profile_predictions_loss: 21.0039 - logcount_predictions_loss: 0.4187 18/38 [=============>................] - ETA: 14s - loss: 21.4801 - logits_profile_predictions_loss: 21.0574 - logcount_predictions_loss: 0.4227 19/38 [==============>...............] - ETA: 13s - loss: 21.4604 - logits_profile_predictions_loss: 21.0374 - logcount_predictions_loss: 0.4230 20/38 [==============>...............] - ETA: 13s - loss: 21.4582 - logits_profile_predictions_loss: 21.0371 - logcount_predictions_loss: 0.4211 21/38 [===============>..............] - ETA: 12s - loss: 21.4321 - logits_profile_predictions_loss: 21.0113 - logcount_predictions_loss: 0.4208 22/38 [================>.............] - ETA: 11s - loss: 21.4684 - logits_profile_predictions_loss: 21.0478 - logcount_predictions_loss: 0.4205 23/38 [=================>............] - ETA: 10s - loss: 21.4692 - logits_profile_predictions_loss: 21.0450 - logcount_predictions_loss: 0.4243 24/38 [=================>............] - ETA: 10s - loss: 21.5088 - logits_profile_predictions_loss: 21.0845 - logcount_predictions_loss: 0.4242 25/38 [==================>...........] - ETA: 9s - loss: 21.5315 - logits_profile_predictions_loss: 21.1072 - logcount_predictions_loss: 0.4242  26/38 [===================>..........] - ETA: 8s - loss: 21.5274 - logits_profile_predictions_loss: 21.1028 - logcount_predictions_loss: 0.4247 27/38 [====================>.........] - ETA: 8s - loss: 21.5262 - logits_profile_predictions_loss: 21.0992 - logcount_predictions_loss: 0.4270 28/38 [=====================>........] - ETA: 7s - loss: 21.5328 - logits_profile_predictions_loss: 21.1069 - logcount_predictions_loss: 0.4259 29/38 [=====================>........] - ETA: 6s - loss: 21.5152 - logits_profile_predictions_loss: 21.0874 - logcount_predictions_loss: 0.4278 30/38 [======================>.......] - ETA: 5s - loss: 21.4605 - logits_profile_predictions_loss: 21.0374 - logcount_predictions_loss: 0.4232 31/38 [=======================>......] - ETA: 5s - loss: 21.5180 - logits_profile_predictions_loss: 21.0924 - logcount_predictions_loss: 0.4256 32/38 [========================>.....] - ETA: 4s - loss: 21.4969 - logits_profile_predictions_loss: 21.0729 - logcount_predictions_loss: 0.4240 33/38 [=========================>....] - ETA: 3s - loss: 21.4424 - logits_profile_predictions_loss: 21.0226 - logcount_predictions_loss: 0.4198 34/38 [=========================>....] - ETA: 2s - loss: 21.4424 - logits_profile_predictions_loss: 21.0210 - logcount_predictions_loss: 0.4215 35/38 [==========================>...] - ETA: 2s - loss: 21.4050 - logits_profile_predictions_loss: 20.9843 - logcount_predictions_loss: 0.4207 36/38 [===========================>..] - ETA: 1s - loss: 21.4173 - logits_profile_predictions_loss: 20.9946 - logcount_predictions_loss: 0.4226 37/38 [============================>.] - ETA: 0s - loss: 21.4209 - logits_profile_predictions_loss: 20.9997 - logcount_predictions_loss: 0.4212 38/38 [==============================] - ETA: 0s - loss: 21.3922 - logits_profile_predictions_loss: 20.9739 - logcount_predictions_loss: 0.4183 Epoch 7: val_loss did not improve from 24.93237  38/38 [==============================] - 29s 756ms/step - loss: 21.3922 - logits_profile_predictions_loss: 20.9739 - logcount_predictions_loss: 0.4183 - val_loss: 25.1074 - val_logits_profile_predictions_loss: 24.6225 - val_logcount_predictions_loss: 0.4849 Epoch 8/50 1/38 [..............................] - ETA: 27s - loss: 20.2855 - logits_profile_predictions_loss: 19.8356 - logcount_predictions_loss: 0.4499 2/38 [>.............................] - ETA: 26s - loss: 21.5998 - logits_profile_predictions_loss: 21.1310 - logcount_predictions_loss: 0.4688 3/38 [=>............................] - ETA: 25s - loss: 21.8215 - logits_profile_predictions_loss: 21.3424 - logcount_predictions_loss: 0.4791 4/38 [==>...........................] - ETA: 24s - loss: 21.4363 - logits_profile_predictions_loss: 20.9841 - logcount_predictions_loss: 0.4522 5/38 [==>...........................] - ETA: 24s - loss: 21.4824 - logits_profile_predictions_loss: 21.0284 - logcount_predictions_loss: 0.4540 6/38 [===>..........................] - ETA: 23s - loss: 21.3560 - logits_profile_predictions_loss: 20.9119 - logcount_predictions_loss: 0.4442 7/38 [====>.........................] - ETA: 22s - loss: 21.0148 - logits_profile_predictions_loss: 20.5912 - logcount_predictions_loss: 0.4235 8/38 [=====>........................] - ETA: 21s - loss: 20.9765 - logits_profile_predictions_loss: 20.5529 - logcount_predictions_loss: 0.4236 9/38 [======>.......................] - ETA: 21s - loss: 20.9456 - logits_profile_predictions_loss: 20.5232 - logcount_predictions_loss: 0.4224 10/38 [======>.......................] - ETA: 20s - loss: 20.9815 - logits_profile_predictions_loss: 20.5542 - logcount_predictions_loss: 0.4273 11/38 [=======>......................] - ETA: 19s - loss: 21.0912 - logits_profile_predictions_loss: 20.6529 - logcount_predictions_loss: 0.4382 12/38 [========>.....................] - ETA: 18s - loss: 21.0299 - logits_profile_predictions_loss: 20.5952 - logcount_predictions_loss: 0.4347 13/38 [=========>....................] - ETA: 18s - loss: 21.0831 - logits_profile_predictions_loss: 20.6479 - logcount_predictions_loss: 0.4352 14/38 [==========>...................] - ETA: 17s - loss: 21.0474 - logits_profile_predictions_loss: 20.6159 - logcount_predictions_loss: 0.4315 15/38 [==========>...................] - ETA: 16s - loss: 21.0843 - logits_profile_predictions_loss: 20.6548 - logcount_predictions_loss: 0.4295 16/38 [===========>..................] - ETA: 16s - loss: 21.0298 - logits_profile_predictions_loss: 20.6009 - logcount_predictions_loss: 0.4289 17/38 [============>.................] - ETA: 15s - loss: 20.9694 - logits_profile_predictions_loss: 20.5439 - logcount_predictions_loss: 0.4255 18/38 [=============>................] - ETA: 14s - loss: 20.8172 - logits_profile_predictions_loss: 20.3966 - logcount_predictions_loss: 0.4207 19/38 [==============>...............] - ETA: 13s - loss: 20.8095 - logits_profile_predictions_loss: 20.3899 - logcount_predictions_loss: 0.4196 20/38 [==============>...............] - ETA: 12s - loss: 20.7285 - logits_profile_predictions_loss: 20.3110 - logcount_predictions_loss: 0.4175 21/38 [===============>..............] - ETA: 12s - loss: 20.6863 - logits_profile_predictions_loss: 20.2734 - logcount_predictions_loss: 0.4130 22/38 [================>.............] - ETA: 11s - loss: 20.7142 - logits_profile_predictions_loss: 20.3030 - logcount_predictions_loss: 0.4112 23/38 [=================>............] - ETA: 10s - loss: 20.7519 - logits_profile_predictions_loss: 20.3417 - logcount_predictions_loss: 0.4102 24/38 [=================>............] - ETA: 9s - loss: 20.7863 - logits_profile_predictions_loss: 20.3750 - logcount_predictions_loss: 0.4114  25/38 [==================>...........] - ETA: 9s - loss: 20.8167 - logits_profile_predictions_loss: 20.4056 - logcount_predictions_loss: 0.4111 26/38 [===================>..........] - ETA: 8s - loss: 20.8178 - logits_profile_predictions_loss: 20.4082 - logcount_predictions_loss: 0.4096 27/38 [====================>.........] - ETA: 7s - loss: 20.8163 - logits_profile_predictions_loss: 20.4059 - logcount_predictions_loss: 0.4104 28/38 [=====================>........] - ETA: 7s - loss: 20.8130 - logits_profile_predictions_loss: 20.4056 - logcount_predictions_loss: 0.4074 29/38 [=====================>........] - ETA: 6s - loss: 20.8201 - logits_profile_predictions_loss: 20.4127 - logcount_predictions_loss: 0.4075 30/38 [======================>.......] - ETA: 5s - loss: 20.8530 - logits_profile_predictions_loss: 20.4438 - logcount_predictions_loss: 0.4092 31/38 [=======================>......] - ETA: 5s - loss: 20.8724 - logits_profile_predictions_loss: 20.4644 - logcount_predictions_loss: 0.4080 32/38 [========================>.....] - ETA: 4s - loss: 20.8270 - logits_profile_predictions_loss: 20.4217 - logcount_predictions_loss: 0.4054 33/38 [=========================>....] - ETA: 3s - loss: 20.8344 - logits_profile_predictions_loss: 20.4282 - logcount_predictions_loss: 0.4062 34/38 [=========================>....] - ETA: 2s - loss: 20.8152 - logits_profile_predictions_loss: 20.4092 - logcount_predictions_loss: 0.4060 35/38 [==========================>...] - ETA: 2s - loss: 20.8432 - logits_profile_predictions_loss: 20.4374 - logcount_predictions_loss: 0.4058 36/38 [===========================>..] - ETA: 1s - loss: 20.8497 - logits_profile_predictions_loss: 20.4445 - logcount_predictions_loss: 0.4052 37/38 [============================>.] - ETA: 0s - loss: 20.8955 - logits_profile_predictions_loss: 20.4883 - logcount_predictions_loss: 0.4072 38/38 [==============================] - ETA: 0s - loss: 20.8891 - logits_profile_predictions_loss: 20.4819 - logcount_predictions_loss: 0.4072 Epoch 8: val_loss did not improve from 24.93237  38/38 [==============================] - 29s 756ms/step - loss: 20.8891 - logits_profile_predictions_loss: 20.4819 - logcount_predictions_loss: 0.4072 - val_loss: 25.4105 - val_logits_profile_predictions_loss: 24.9256 - val_logcount_predictions_loss: 0.4849 Epoch 9/50 1/38 [..............................] - ETA: 27s - loss: 20.9417 - logits_profile_predictions_loss: 20.5272 - logcount_predictions_loss: 0.4145 2/38 [>.............................] - ETA: 26s - loss: 21.2002 - logits_profile_predictions_loss: 20.7531 - logcount_predictions_loss: 0.4470 3/38 [=>............................] - ETA: 25s - loss: 21.0530 - logits_profile_predictions_loss: 20.6030 - logcount_predictions_loss: 0.4499 4/38 [==>...........................] - ETA: 24s - loss: 21.0433 - logits_profile_predictions_loss: 20.6002 - logcount_predictions_loss: 0.4431 5/38 [==>...........................] - ETA: 24s - loss: 20.6227 - logits_profile_predictions_loss: 20.1988 - logcount_predictions_loss: 0.4239 6/38 [===>..........................] - ETA: 23s - loss: 20.2803 - logits_profile_predictions_loss: 19.8725 - logcount_predictions_loss: 0.4078 7/38 [====>.........................] - ETA: 22s - loss: 20.2415 - logits_profile_predictions_loss: 19.8422 - logcount_predictions_loss: 0.3993 8/38 [=====>........................] - ETA: 21s - loss: 20.3378 - logits_profile_predictions_loss: 19.9356 - logcount_predictions_loss: 0.4022 9/38 [======>.......................] - ETA: 21s - loss: 20.2723 - logits_profile_predictions_loss: 19.8696 - logcount_predictions_loss: 0.4027 10/38 [======>.......................] - ETA: 20s - loss: 20.2536 - logits_profile_predictions_loss: 19.8484 - logcount_predictions_loss: 0.4052 11/38 [=======>......................] - ETA: 19s - loss: 20.2290 - logits_profile_predictions_loss: 19.8243 - logcount_predictions_loss: 0.4048 12/38 [========>.....................] - ETA: 18s - loss: 20.0956 - logits_profile_predictions_loss: 19.6927 - logcount_predictions_loss: 0.4028 13/38 [=========>....................] - ETA: 18s - loss: 20.1898 - logits_profile_predictions_loss: 19.7858 - logcount_predictions_loss: 0.4040 14/38 [==========>...................] - ETA: 17s - loss: 20.1623 - logits_profile_predictions_loss: 19.7606 - logcount_predictions_loss: 0.4017 15/38 [==========>...................] - ETA: 16s - loss: 20.1759 - logits_profile_predictions_loss: 19.7730 - logcount_predictions_loss: 0.4029 16/38 [===========>..................] - ETA: 16s - loss: 20.1868 - logits_profile_predictions_loss: 19.7854 - logcount_predictions_loss: 0.4013 17/38 [============>.................] - ETA: 15s - loss: 20.1472 - logits_profile_predictions_loss: 19.7479 - logcount_predictions_loss: 0.3993 18/38 [=============>................] - ETA: 14s - loss: 20.1858 - logits_profile_predictions_loss: 19.7795 - logcount_predictions_loss: 0.4063 19/38 [==============>...............] - ETA: 13s - loss: 20.2651 - logits_profile_predictions_loss: 19.8574 - logcount_predictions_loss: 0.4077 20/38 [==============>...............] - ETA: 13s - loss: 20.2795 - logits_profile_predictions_loss: 19.8683 - logcount_predictions_loss: 0.4112 21/38 [===============>..............] - ETA: 12s - loss: 20.2123 - logits_profile_predictions_loss: 19.8044 - logcount_predictions_loss: 0.4079 22/38 [================>.............] - ETA: 11s - loss: 20.1628 - logits_profile_predictions_loss: 19.7582 - logcount_predictions_loss: 0.4046 23/38 [=================>............] - ETA: 10s - loss: 20.1093 - logits_profile_predictions_loss: 19.7082 - logcount_predictions_loss: 0.4011 24/38 [=================>............] - ETA: 10s - loss: 20.2079 - logits_profile_predictions_loss: 19.7995 - logcount_predictions_loss: 0.4084 25/38 [==================>...........] - ETA: 9s - loss: 20.2895 - logits_profile_predictions_loss: 19.8788 - logcount_predictions_loss: 0.4107  26/38 [===================>..........] - ETA: 8s - loss: 20.3118 - logits_profile_predictions_loss: 19.9020 - logcount_predictions_loss: 0.4099 27/38 [====================>.........] - ETA: 8s - loss: 20.2576 - logits_profile_predictions_loss: 19.8496 - logcount_predictions_loss: 0.4080 28/38 [=====================>........] - ETA: 7s - loss: 20.2229 - logits_profile_predictions_loss: 19.8177 - logcount_predictions_loss: 0.4052 29/38 [=====================>........] - ETA: 6s - loss: 20.2244 - logits_profile_predictions_loss: 19.8212 - logcount_predictions_loss: 0.4032 30/38 [======================>.......] - ETA: 5s - loss: 20.2443 - logits_profile_predictions_loss: 19.8412 - logcount_predictions_loss: 0.4030 31/38 [=======================>......] - ETA: 5s - loss: 20.2754 - logits_profile_predictions_loss: 19.8709 - logcount_predictions_loss: 0.4046 32/38 [========================>.....] - ETA: 4s - loss: 20.2936 - logits_profile_predictions_loss: 19.8869 - logcount_predictions_loss: 0.4067 33/38 [=========================>....] - ETA: 3s - loss: 20.2790 - logits_profile_predictions_loss: 19.8750 - logcount_predictions_loss: 0.4040 34/38 [=========================>....] - ETA: 2s - loss: 20.3004 - logits_profile_predictions_loss: 19.8952 - logcount_predictions_loss: 0.4052 35/38 [==========================>...] - ETA: 2s - loss: 20.3775 - logits_profile_predictions_loss: 19.9706 - logcount_predictions_loss: 0.4069 36/38 [===========================>..] - ETA: 1s - loss: 20.3739 - logits_profile_predictions_loss: 19.9645 - logcount_predictions_loss: 0.4094 37/38 [============================>.] - ETA: 0s - loss: 20.3782 - logits_profile_predictions_loss: 19.9687 - logcount_predictions_loss: 0.4096 38/38 [==============================] - ETA: 0s - loss: 20.4089 - logits_profile_predictions_loss: 19.9988 - logcount_predictions_loss: 0.4101 Epoch 9: val_loss did not improve from 24.93237 Restoring model weights from the end of the best epoch: 4.  38/38 [==============================] - 29s 757ms/step - loss: 20.4089 - logits_profile_predictions_loss: 19.9988 - logcount_predictions_loss: 0.4101 - val_loss: 25.7368 - val_logits_profile_predictions_loss: 25.2519 - val_logcount_predictions_loss: 0.4849 Epoch 9: early stopping save model save model without bias got the model loading peaks... got split:test for bed regions:(723, 10) 0/12 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 1/12 [=>............................] - ETA: 3s 2/12 [====>.........................] - ETA: 2s 3/12 [======>.......................] - ETA: 2s 4/12 [=========>....................] - ETA: 1s 5/12 [===========>..................] - ETA: 1s 6/12 [==============>...............] - ETA: 1s 7/12 [================>.............] - ETA: 1s 8/12 [===================>..........] - ETA: 0s 9/12 [=====================>........] - ETA: 0s 10/12 [========================>.....] - ETA: 0s 11/12 [==========================>...] - ETA: 0s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 3s 232ms/step 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 2s 3/12 [======>.......................] - ETA: 2s 4/12 [=========>....................] - ETA: 1s 5/12 [===========>..................] - ETA: 1s 6/12 [==============>...............] - ETA: 1s 7/12 [================>.............] - ETA: 1s 8/12 [===================>..........] - ETA: 0s 9/12 [=====================>........] - ETA: 0s 10/12 [========================>.....] - ETA: 0s 11/12 [==========================>...] - ETA: 0s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 3s 232ms/step inserting motif: tn5_1 GCACAGTACAGAGCTG 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 2s 3/12 [======>.......................] - ETA: 2s 4/12 [=========>....................] - ETA: 1s 5/12 [===========>..................] - ETA: 1s 6/12 [==============>...............] - ETA: 1s 7/12 [================>.............] - ETA: 1s 8/12 [===================>..........] - ETA: 0s 9/12 [=====================>........] - ETA: 0s 10/12 [========================>.....] - ETA: 0s 11/12 [==========================>...] - ETA: 0s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 3s 232ms/step 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 2s 3/12 [======>.......................] - ETA: 2s 4/12 [=========>....................] - ETA: 1s 5/12 [===========>..................] - ETA: 1s 6/12 [==============>...............] - ETA: 1s 7/12 [================>.............] - ETA: 1s 8/12 [===================>..........] - ETA: 0s 9/12 [=====================>........] - ETA: 0s 10/12 [========================>.....] - ETA: 0s 11/12 [==========================>...] - ETA: 0s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 3s 232ms/step inserting motif: tn5_2 GTGCACAGTTCTAGAGTGTGCAG 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 2s 3/12 [======>.......................] - ETA: 2s 4/12 [=========>....................] - ETA: 1s 5/12 [===========>..................] - ETA: 1s 6/12 [==============>...............] - ETA: 1s 7/12 [================>.............] - ETA: 1s 8/12 [===================>..........] - ETA: 0s 9/12 [=====================>........] - ETA: 0s 10/12 [========================>.....] - ETA: 0s 11/12 [==========================>...] - ETA: 0s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 3s 232ms/step 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 2s 3/12 [======>.......................] - ETA: 2s 4/12 [=========>....................] - ETA: 1s 5/12 [===========>..................] - ETA: 1s 6/12 [==============>...............] - ETA: 1s 7/12 [================>.............] - ETA: 1s 8/12 [===================>..........] - ETA: 0s 9/12 [=====================>........] - ETA: 0s 10/12 [========================>.....] - ETA: 0s 11/12 [==========================>...] - ETA: 0s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 3s 232ms/step inserting motif: tn5_3 CCTCTACACTGTGCAGAA 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 2s 3/12 [======>.......................] - ETA: 2s 4/12 [=========>....................] - ETA: 1s 5/12 [===========>..................] - ETA: 1s 6/12 [==============>...............] - ETA: 1s 7/12 [================>.............] - ETA: 1s 8/12 [===================>..........] - ETA: 0s 9/12 [=====================>........] - ETA: 0s 10/12 [========================>.....] - ETA: 0s 11/12 [==========================>...] - ETA: 0s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 3s 232ms/step 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 2s 3/12 [======>.......................] - ETA: 2s 4/12 [=========>....................] - ETA: 1s 5/12 [===========>..................] - ETA: 1s 6/12 [==============>...............] - ETA: 1s 7/12 [================>.............] - ETA: 1s 8/12 [===================>..........] - ETA: 0s 9/12 [=====================>........] - ETA: 0s 10/12 [========================>.....] - ETA: 0s 11/12 [==========================>...] - ETA: 0s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 3s 232ms/step inserting motif: tn5_4 GCACAGTTCTAGACTGTGCAG 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 2s 3/12 [======>.......................] - ETA: 2s 4/12 [=========>....................] - ETA: 1s 5/12 [===========>..................] - ETA: 1s 6/12 [==============>...............] - ETA: 1s 7/12 [================>.............] - ETA: 1s 8/12 [===================>..........] - ETA: 0s 9/12 [=====================>........] - ETA: 0s 10/12 [========================>.....] - ETA: 0s 11/12 [==========================>...] - ETA: 0s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 3s 232ms/step 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 2s 3/12 [======>.......................] - ETA: 2s 4/12 [=========>....................] - ETA: 1s 5/12 [===========>..................] - ETA: 1s 6/12 [==============>...............] - ETA: 1s 7/12 [================>.............] - ETA: 1s 8/12 [===================>..........] - ETA: 0s 9/12 [=====================>........] - ETA: 0s 10/12 [========================>.....] - ETA: 0s 11/12 [==========================>...] - ETA: 0s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 3s 232ms/step inserting motif: tn5_5 CTGCACAGTGTAGAGTTGTGC 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 2s 3/12 [======>.......................] - ETA: 2s 4/12 [=========>....................] - ETA: 1s 5/12 [===========>..................] - ETA: 1s 6/12 [==============>...............] - ETA: 1s 7/12 [================>.............] - ETA: 1s 8/12 [===================>..........] - ETA: 0s 9/12 [=====================>........] - ETA: 0s 10/12 [========================>.....] - ETA: 0s 11/12 [==========================>...] - ETA: 0s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 3s 233ms/step 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 2s 3/12 [======>.......................] - ETA: 2s 4/12 [=========>....................] - ETA: 1s 5/12 [===========>..................] - ETA: 1s 6/12 [==============>...............] - ETA: 1s 7/12 [================>.............] - ETA: 1s 8/12 [===================>..........] - ETA: 0s 9/12 [=====================>........] - ETA: 0s 10/12 [========================>.....] - ETA: 0s 11/12 [==========================>...] - ETA: 0s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 3s 232ms/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 : (3122, 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 3122 Done 100 examples of 3122 Done 200 examples of 3122 Done 300 examples of 3122 Done 400 examples of 3122 Done 500 examples of 3122 Done 600 examples of 3122 Done 700 examples of 3122 Done 800 examples of 3122 Done 900 examples of 3122 Done 1000 examples of 3122 Done 1100 examples of 3122 Done 1200 examples of 3122 Done 1300 examples of 3122 Done 1400 examples of 3122 Done 1500 examples of 3122 Done 1600 examples of 3122 Done 1700 examples of 3122 Done 1800 examples of 3122 Done 1900 examples of 3122 Done 2000 examples of 3122 Done 2100 examples of 3122 Done 2200 examples of 3122 Done 2300 examples of 3122 Done 2400 examples of 3122 Done 2500 examples of 3122 Done 2600 examples of 3122 Done 2700 examples of 3122 Done 2800 examples of 3122 Done 2900 examples of 3122 Done 3000 examples of 3122 Done 3100 examples of 3122 Saving 'profile' scores