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: 3542 evaluating hyperparameters on the following chromosomes ['chr1', 'chr2', 'chr3', 'chr5', 'chr6', 'chr8', 'chr9', 'chr10', 'chr13', 'chr14', 'chr16', 'chr17', 'chr18', 'chr19', 'chr20', 'chr21', 'chrX', 'chr22', 'chr7'] Number of peaks input: 2610 Number of peaks filtered because the input/output is on the edge: 0 Number of peaks being used: 2610 Number of peaks input: 515 Number of peaks filtered because the input/output is on the edge: 0 Number of peaks being used: 515 Number of non peaks input: 5220 Number of non peaks filtered because the input/output is on the edge: 0 Number of non peaks being used: 5220 Number of non peaks input: 515 Number of non peaks filtered because the input/output is on the edge: 0 Number of non peaks being used: 515 Number of peaks after removing outliers: 2607 Number of nonpeaks after removing outliers: 432 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 1/14 [=>............................] - ETA: 26s 10/14 [====================>.........] - ETA: 0s  14/14 [==============================] - ETA: 0s 14/14 [==============================] - 2s 9ms/step got the model loading peaks... got split:test for bed regions:(515, 10) 0/9 Bias model pearsonr performance in peaks is: -0.05 {'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_2/models/bias_model_scaled.h5', 'inputlen': '2114', 'outputlen': '1000', 'max_jitter': '500', 'chr_fold_path': '/oak/stanford/groups/akundaje/soumyak/refs/hg38/splits/fold_2.json', 'negative_sampling_ratio': '0.1'} got the model loading peaks... got split:train for bed regions:(2380, 10) loading nonpeaks... got split:train for bed regions:(410, 10) loading peaks... got split:valid for bed regions:(227, 10) loading nonpeaks... got split:valid for bed regions:(22, 10) Epoch 1/50 1/41 [..............................] - ETA: 3:16 - loss: 22.3493 - logits_profile_predictions_loss: 22.0809 - logcount_predictions_loss: 0.2684 2/41 [>.............................] - ETA: 11s - loss: 367.7444 - logits_profile_predictions_loss: 22.7404 - logcount_predictions_loss: 345.0040 3/41 [=>............................] - ETA: 11s - loss: 252.7710 - logits_profile_predictions_loss: 22.6447 - logcount_predictions_loss: 230.1263 4/41 [=>............................] - ETA: 11s - loss: 195.5645 - logits_profile_predictions_loss: 22.8732 - logcount_predictions_loss: 172.6913 5/41 [==>...........................] - ETA: 10s - loss: 160.8200 - logits_profile_predictions_loss: 22.5935 - logcount_predictions_loss: 138.2265 6/41 [===>..........................] - ETA: 10s - loss: 137.7897 - logits_profile_predictions_loss: 22.5335 - logcount_predictions_loss: 115.2562 7/41 [====>.........................] - ETA: 10s - loss: 121.6312 - logits_profile_predictions_loss: 22.7679 - logcount_predictions_loss: 98.8633  8/41 [====>.........................] - ETA: 9s - loss: 109.0631 - logits_profile_predictions_loss: 22.5191 - logcount_predictions_loss: 86.5440  9/41 [=====>........................] - ETA: 9s - loss: 99.5281 - logits_profile_predictions_loss: 22.5500 - logcount_predictions_loss: 76.9781  10/41 [======>.......................] - ETA: 9s - loss: 91.6014 - logits_profile_predictions_loss: 22.2894 - logcount_predictions_loss: 69.3120 11/41 [=======>......................] - ETA: 9s - loss: 85.4647 - logits_profile_predictions_loss: 22.4089 - logcount_predictions_loss: 63.0557 12/41 [=======>......................] - ETA: 8s - loss: 80.3765 - logits_profile_predictions_loss: 22.5371 - logcount_predictions_loss: 57.8394 13/41 [========>.....................] - ETA: 8s - loss: 75.9550 - logits_profile_predictions_loss: 22.5324 - logcount_predictions_loss: 53.4226 14/41 [=========>....................] - ETA: 8s - loss: 72.0490 - logits_profile_predictions_loss: 22.4205 - logcount_predictions_loss: 49.6285 15/41 [=========>....................] - ETA: 7s - loss: 68.8163 - logits_profile_predictions_loss: 22.4640 - logcount_predictions_loss: 46.3522 16/41 [==========>...................] - ETA: 7s - loss: 65.9044 - logits_profile_predictions_loss: 22.4265 - logcount_predictions_loss: 43.4778 17/41 [===========>..................] - ETA: 7s - loss: 63.2600 - logits_profile_predictions_loss: 22.3202 - logcount_predictions_loss: 40.9398 18/41 [============>.................] - ETA: 10s - loss: 61.2709 - logits_profile_predictions_loss: 22.3811 - logcount_predictions_loss: 38.8898 19/41 [============>.................] - ETA: 9s - loss: 59.2259 - logits_profile_predictions_loss: 22.3715 - logcount_predictions_loss: 36.8544  20/41 [=============>................] - ETA: 9s - loss: 57.3326 - logits_profile_predictions_loss: 22.3108 - logcount_predictions_loss: 35.0218 21/41 [==============>...............] - ETA: 8s - loss: 55.7498 - logits_profile_predictions_loss: 22.3827 - logcount_predictions_loss: 33.3671 22/41 [===============>..............] - ETA: 7s - loss: 54.2120 - logits_profile_predictions_loss: 22.3534 - logcount_predictions_loss: 31.8586 23/41 [===============>..............] - ETA: 7s - loss: 52.8679 - logits_profile_predictions_loss: 22.3802 - logcount_predictions_loss: 30.4877 24/41 [================>.............] - ETA: 6s - loss: 51.6291 - logits_profile_predictions_loss: 22.3982 - logcount_predictions_loss: 29.2309 25/41 [=================>............] - ETA: 6s - loss: 50.4909 - logits_profile_predictions_loss: 22.4185 - logcount_predictions_loss: 28.0725 26/41 [==================>...........] - ETA: 6s - loss: 49.4230 - logits_profile_predictions_loss: 22.4179 - logcount_predictions_loss: 27.0051 27/41 [==================>...........] - ETA: 5s - loss: 48.4289 - logits_profile_predictions_loss: 22.4138 - logcount_predictions_loss: 26.0151 28/41 [===================>..........] - ETA: 5s - loss: 47.5289 - logits_profile_predictions_loss: 22.4314 - logcount_predictions_loss: 25.0975 29/41 [====================>.........] - ETA: 4s - loss: 46.6682 - logits_profile_predictions_loss: 22.4259 - logcount_predictions_loss: 24.2423 30/41 [====================>.........] - ETA: 4s - loss: 45.9004 - logits_profile_predictions_loss: 22.4555 - logcount_predictions_loss: 23.4449 31/41 [=====================>........] - ETA: 3s - loss: 45.1018 - logits_profile_predictions_loss: 22.4032 - logcount_predictions_loss: 22.6986 32/41 [======================>.......] - ETA: 3s - loss: 44.3979 - logits_profile_predictions_loss: 22.3982 - logcount_predictions_loss: 21.9996 33/41 [=======================>......] - ETA: 3s - loss: 43.7290 - logits_profile_predictions_loss: 22.3857 - logcount_predictions_loss: 21.3433 34/41 [=======================>......] - ETA: 2s - loss: 43.0933 - logits_profile_predictions_loss: 22.3695 - logcount_predictions_loss: 20.7238 35/41 [========================>.....] - ETA: 2s - loss: 42.5316 - logits_profile_predictions_loss: 22.3892 - logcount_predictions_loss: 20.1424 36/41 [=========================>....] - ETA: 1s - loss: 41.9806 - logits_profile_predictions_loss: 22.3867 - logcount_predictions_loss: 19.5939 37/41 [==========================>...] - ETA: 1s - loss: 41.5050 - logits_profile_predictions_loss: 22.4293 - logcount_predictions_loss: 19.0757 38/41 [==========================>...] - ETA: 1s - loss: 40.9716 - logits_profile_predictions_loss: 22.3905 - logcount_predictions_loss: 18.5811 39/41 [===========================>..] - ETA: 0s - loss: 40.5115 - logits_profile_predictions_loss: 22.3975 - logcount_predictions_loss: 18.1140 40/41 [============================>.] - ETA: 0s - loss: 40.0453 - logits_profile_predictions_loss: 22.3753 - logcount_predictions_loss: 17.6700 41/41 [==============================] - ETA: 0s - loss: 39.6535 - logits_profile_predictions_loss: 22.4036 - logcount_predictions_loss: 17.2499 Epoch 1: val_loss improved from inf to 23.88566, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.adipocyte.In/fold_2/models/chrombpnet.h5  41/41 [==============================] - 23s 446ms/step - loss: 39.6535 - logits_profile_predictions_loss: 22.4036 - logcount_predictions_loss: 17.2499 - val_loss: 23.8857 - val_logits_profile_predictions_loss: 23.4754 - val_logcount_predictions_loss: 0.4102 Epoch 2/50 1/41 [..............................] - ETA: 12s - loss: 20.3115 - logits_profile_predictions_loss: 19.9565 - logcount_predictions_loss: 0.3551 2/41 [>.............................] - ETA: 11s - loss: 21.0773 - logits_profile_predictions_loss: 20.7320 - logcount_predictions_loss: 0.3454 3/41 [=>............................] - ETA: 11s - loss: 21.8102 - logits_profile_predictions_loss: 21.4385 - logcount_predictions_loss: 0.3717 4/41 [=>............................] - ETA: 11s - loss: 21.9626 - logits_profile_predictions_loss: 21.5985 - logcount_predictions_loss: 0.3642 5/41 [==>...........................] - ETA: 12s - loss: 22.2327 - logits_profile_predictions_loss: 21.8531 - logcount_predictions_loss: 0.3797 6/41 [===>..........................] - ETA: 11s - loss: 22.3055 - logits_profile_predictions_loss: 21.9217 - logcount_predictions_loss: 0.3838 7/41 [====>.........................] - ETA: 11s - loss: 22.3939 - logits_profile_predictions_loss: 22.0121 - logcount_predictions_loss: 0.3818 8/41 [====>.........................] - ETA: 10s - loss: 22.3720 - logits_profile_predictions_loss: 21.9828 - logcount_predictions_loss: 0.3892 9/41 [=====>........................] - ETA: 10s - loss: 22.2683 - logits_profile_predictions_loss: 21.8779 - logcount_predictions_loss: 0.3904 10/41 [======>.......................] - ETA: 9s - loss: 22.4310 - logits_profile_predictions_loss: 22.0277 - logcount_predictions_loss: 0.4033  11/41 [=======>......................] - ETA: 9s - loss: 22.5428 - logits_profile_predictions_loss: 22.1330 - logcount_predictions_loss: 0.4099 12/41 [=======>......................] - ETA: 9s - loss: 22.6240 - logits_profile_predictions_loss: 22.2152 - logcount_predictions_loss: 0.4087 13/41 [========>.....................] - ETA: 8s - loss: 22.5167 - logits_profile_predictions_loss: 22.1119 - logcount_predictions_loss: 0.4049 14/41 [=========>....................] - ETA: 8s - loss: 22.5999 - logits_profile_predictions_loss: 22.1916 - logcount_predictions_loss: 0.4083 15/41 [=========>....................] - ETA: 8s - loss: 22.5319 - logits_profile_predictions_loss: 22.1275 - logcount_predictions_loss: 0.4044 16/41 [==========>...................] - ETA: 7s - loss: 22.5395 - logits_profile_predictions_loss: 22.1325 - logcount_predictions_loss: 0.4070 17/41 [===========>..................] - ETA: 7s - loss: 22.5214 - logits_profile_predictions_loss: 22.1163 - logcount_predictions_loss: 0.4052 18/41 [============>.................] - ETA: 7s - loss: 22.4725 - logits_profile_predictions_loss: 22.0699 - logcount_predictions_loss: 0.4026 19/41 [============>.................] - ETA: 6s - loss: 22.4734 - logits_profile_predictions_loss: 22.0709 - logcount_predictions_loss: 0.4025 20/41 [=============>................] - ETA: 6s - loss: 22.4353 - logits_profile_predictions_loss: 22.0351 - logcount_predictions_loss: 0.4002 21/41 [==============>...............] - ETA: 6s - loss: 22.5203 - logits_profile_predictions_loss: 22.1168 - logcount_predictions_loss: 0.4036 22/41 [===============>..............] - ETA: 5s - loss: 22.5192 - logits_profile_predictions_loss: 22.1156 - logcount_predictions_loss: 0.4037 23/41 [===============>..............] - ETA: 5s - loss: 22.5342 - logits_profile_predictions_loss: 22.1296 - logcount_predictions_loss: 0.4046 24/41 [================>.............] - ETA: 5s - loss: 22.6079 - logits_profile_predictions_loss: 22.1981 - logcount_predictions_loss: 0.4098 25/41 [=================>............] - ETA: 4s - loss: 22.6506 - logits_profile_predictions_loss: 22.2389 - logcount_predictions_loss: 0.4117 26/41 [==================>...........] - ETA: 4s - loss: 22.6355 - logits_profile_predictions_loss: 22.2257 - logcount_predictions_loss: 0.4098 27/41 [==================>...........] - ETA: 4s - loss: 22.6892 - logits_profile_predictions_loss: 22.2770 - logcount_predictions_loss: 0.4122 28/41 [===================>..........] - ETA: 3s - loss: 22.7332 - logits_profile_predictions_loss: 22.3204 - logcount_predictions_loss: 0.4128 29/41 [====================>.........] - ETA: 3s - loss: 22.6935 - logits_profile_predictions_loss: 22.2816 - logcount_predictions_loss: 0.4119 30/41 [====================>.........] - ETA: 3s - loss: 22.7458 - logits_profile_predictions_loss: 22.3310 - logcount_predictions_loss: 0.4148 31/41 [=====================>........] - ETA: 3s - loss: 22.7207 - logits_profile_predictions_loss: 22.3086 - logcount_predictions_loss: 0.4122 32/41 [======================>.......] - ETA: 2s - loss: 22.7176 - logits_profile_predictions_loss: 22.3045 - logcount_predictions_loss: 0.4131 33/41 [=======================>......] - ETA: 2s - loss: 22.6651 - logits_profile_predictions_loss: 22.2554 - logcount_predictions_loss: 0.4097 34/41 [=======================>......] - ETA: 2s - loss: 22.6984 - logits_profile_predictions_loss: 22.2882 - logcount_predictions_loss: 0.4102 35/41 [========================>.....] - ETA: 1s - loss: 22.7871 - logits_profile_predictions_loss: 22.3700 - logcount_predictions_loss: 0.4171 36/41 [=========================>....] - ETA: 1s - loss: 22.7149 - logits_profile_predictions_loss: 22.3013 - logcount_predictions_loss: 0.4136 37/41 [==========================>...] - ETA: 1s - loss: 22.6855 - logits_profile_predictions_loss: 22.2725 - logcount_predictions_loss: 0.4130 38/41 [==========================>...] - ETA: 0s - loss: 22.6915 - logits_profile_predictions_loss: 22.2776 - logcount_predictions_loss: 0.4139 39/41 [===========================>..] - ETA: 0s - loss: 22.6622 - logits_profile_predictions_loss: 22.2496 - logcount_predictions_loss: 0.4125 40/41 [============================>.] - ETA: 0s - loss: 22.7209 - logits_profile_predictions_loss: 22.3070 - logcount_predictions_loss: 0.4139 41/41 [==============================] - ETA: 0s - loss: 22.7013 - logits_profile_predictions_loss: 22.2901 - logcount_predictions_loss: 0.4112 Epoch 2: val_loss did not improve from 23.88566  41/41 [==============================] - 13s 322ms/step - loss: 22.7013 - logits_profile_predictions_loss: 22.2901 - logcount_predictions_loss: 0.4112 - val_loss: 23.9444 - val_logits_profile_predictions_loss: 23.5342 - val_logcount_predictions_loss: 0.4102 Epoch 3/50 1/41 [..............................] - ETA: 12s - loss: 22.7628 - logits_profile_predictions_loss: 22.3465 - logcount_predictions_loss: 0.4162 2/41 [>.............................] - ETA: 11s - loss: 21.8622 - logits_profile_predictions_loss: 21.4572 - logcount_predictions_loss: 0.4051 3/41 [=>............................] - ETA: 11s - loss: 22.5856 - logits_profile_predictions_loss: 22.1687 - logcount_predictions_loss: 0.4168 4/41 [=>............................] - ETA: 11s - loss: 22.5716 - logits_profile_predictions_loss: 22.1681 - logcount_predictions_loss: 0.4036 5/41 [==>...........................] - ETA: 10s - loss: 22.6480 - logits_profile_predictions_loss: 22.2484 - logcount_predictions_loss: 0.3996 6/41 [===>..........................] - ETA: 10s - loss: 22.4001 - logits_profile_predictions_loss: 22.0054 - logcount_predictions_loss: 0.3947 7/41 [====>.........................] - ETA: 10s - loss: 22.3546 - logits_profile_predictions_loss: 21.9593 - logcount_predictions_loss: 0.3953 8/41 [====>.........................] - ETA: 9s - loss: 22.2881 - logits_profile_predictions_loss: 21.8908 - logcount_predictions_loss: 0.3974  9/41 [=====>........................] - ETA: 9s - loss: 22.1268 - logits_profile_predictions_loss: 21.7328 - logcount_predictions_loss: 0.3940 10/41 [======>.......................] - ETA: 9s - loss: 22.1860 - logits_profile_predictions_loss: 21.7882 - logcount_predictions_loss: 0.3979 11/41 [=======>......................] - ETA: 9s - loss: 22.2975 - logits_profile_predictions_loss: 21.9023 - logcount_predictions_loss: 0.3953 12/41 [=======>......................] - ETA: 8s - loss: 22.2155 - logits_profile_predictions_loss: 21.8272 - logcount_predictions_loss: 0.3883 13/41 [========>.....................] - ETA: 8s - loss: 22.1774 - logits_profile_predictions_loss: 21.7902 - logcount_predictions_loss: 0.3873 14/41 [=========>....................] - ETA: 8s - loss: 22.1771 - logits_profile_predictions_loss: 21.7923 - logcount_predictions_loss: 0.3848 15/41 [=========>....................] - ETA: 7s - loss: 22.3063 - logits_profile_predictions_loss: 21.9169 - logcount_predictions_loss: 0.3895 16/41 [==========>...................] - ETA: 7s - loss: 22.5087 - logits_profile_predictions_loss: 22.1078 - logcount_predictions_loss: 0.4009 17/41 [===========>..................] - ETA: 7s - loss: 22.5346 - logits_profile_predictions_loss: 22.1315 - logcount_predictions_loss: 0.4031 18/41 [============>.................] - ETA: 6s - loss: 22.5303 - logits_profile_predictions_loss: 22.1287 - logcount_predictions_loss: 0.4016 19/41 [============>.................] - ETA: 6s - loss: 22.5195 - logits_profile_predictions_loss: 22.1162 - logcount_predictions_loss: 0.4033 20/41 [=============>................] - ETA: 6s - loss: 22.4492 - logits_profile_predictions_loss: 22.0485 - logcount_predictions_loss: 0.4007 21/41 [==============>...............] - ETA: 6s - loss: 22.4812 - logits_profile_predictions_loss: 22.0797 - logcount_predictions_loss: 0.4015 22/41 [===============>..............] - ETA: 5s - loss: 22.4255 - logits_profile_predictions_loss: 22.0247 - logcount_predictions_loss: 0.4008 23/41 [===============>..............] - ETA: 5s - loss: 22.3473 - logits_profile_predictions_loss: 21.9500 - logcount_predictions_loss: 0.3973 24/41 [================>.............] - ETA: 5s - loss: 22.2933 - logits_profile_predictions_loss: 21.8971 - logcount_predictions_loss: 0.3962 25/41 [=================>............] - ETA: 4s - loss: 22.2904 - logits_profile_predictions_loss: 21.8940 - logcount_predictions_loss: 0.3964 26/41 [==================>...........] - ETA: 4s - loss: 22.3516 - logits_profile_predictions_loss: 21.9532 - logcount_predictions_loss: 0.3984 27/41 [==================>...........] - ETA: 4s - loss: 22.3730 - logits_profile_predictions_loss: 21.9708 - logcount_predictions_loss: 0.4022 28/41 [===================>..........] - ETA: 3s - loss: 22.3085 - logits_profile_predictions_loss: 21.9095 - logcount_predictions_loss: 0.3990 29/41 [====================>.........] - ETA: 3s - loss: 22.4080 - logits_profile_predictions_loss: 22.0059 - logcount_predictions_loss: 0.4022 30/41 [====================>.........] - ETA: 3s - loss: 22.4451 - logits_profile_predictions_loss: 22.0403 - logcount_predictions_loss: 0.4047 31/41 [=====================>........] - ETA: 3s - loss: 22.4425 - logits_profile_predictions_loss: 22.0384 - logcount_predictions_loss: 0.4041 32/41 [======================>.......] - ETA: 2s - loss: 22.4717 - logits_profile_predictions_loss: 22.0691 - logcount_predictions_loss: 0.4026 33/41 [=======================>......] - ETA: 2s - loss: 22.4358 - logits_profile_predictions_loss: 22.0350 - logcount_predictions_loss: 0.4008 34/41 [=======================>......] - ETA: 2s - loss: 22.5141 - logits_profile_predictions_loss: 22.1092 - logcount_predictions_loss: 0.4049 35/41 [========================>.....] - ETA: 1s - loss: 22.4740 - logits_profile_predictions_loss: 22.0701 - logcount_predictions_loss: 0.4038 36/41 [=========================>....] - ETA: 1s - loss: 22.4726 - logits_profile_predictions_loss: 22.0692 - logcount_predictions_loss: 0.4034 37/41 [==========================>...] - ETA: 1s - loss: 22.5488 - logits_profile_predictions_loss: 22.1417 - logcount_predictions_loss: 0.4071 38/41 [==========================>...] - ETA: 0s - loss: 22.5611 - logits_profile_predictions_loss: 22.1515 - logcount_predictions_loss: 0.4096 39/41 [===========================>..] - ETA: 0s - loss: 22.5213 - logits_profile_predictions_loss: 22.1149 - logcount_predictions_loss: 0.4064 40/41 [============================>.] - ETA: 0s - loss: 22.4950 - logits_profile_predictions_loss: 22.0887 - logcount_predictions_loss: 0.4063 41/41 [==============================] - ETA: 0s - loss: 22.4881 - logits_profile_predictions_loss: 22.0824 - logcount_predictions_loss: 0.4057 Epoch 3: val_loss improved from 23.88566 to 23.85894, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.adipocyte.In/fold_2/models/chrombpnet.h5  41/41 [==============================] - 13s 326ms/step - loss: 22.4881 - logits_profile_predictions_loss: 22.0824 - logcount_predictions_loss: 0.4057 - val_loss: 23.8589 - val_logits_profile_predictions_loss: 23.4487 - val_logcount_predictions_loss: 0.4102 Epoch 4/50 1/41 [..............................] - ETA: 12s - loss: 22.7196 - logits_profile_predictions_loss: 22.2482 - logcount_predictions_loss: 0.4714 2/41 [>.............................] - ETA: 11s - loss: 22.8995 - logits_profile_predictions_loss: 22.4605 - logcount_predictions_loss: 0.4390 3/41 [=>............................] - ETA: 11s - loss: 23.1576 - logits_profile_predictions_loss: 22.7073 - logcount_predictions_loss: 0.4503 4/41 [=>............................] - ETA: 11s - loss: 22.6909 - logits_profile_predictions_loss: 22.2663 - logcount_predictions_loss: 0.4246 5/41 [==>...........................] - ETA: 10s - loss: 23.0056 - logits_profile_predictions_loss: 22.5706 - logcount_predictions_loss: 0.4350 6/41 [===>..........................] - ETA: 10s - loss: 22.6809 - logits_profile_predictions_loss: 22.2645 - logcount_predictions_loss: 0.4164 7/41 [====>.........................] - ETA: 10s - loss: 22.8187 - logits_profile_predictions_loss: 22.4056 - logcount_predictions_loss: 0.4131 8/41 [====>.........................] - ETA: 9s - loss: 22.8489 - logits_profile_predictions_loss: 22.4294 - logcount_predictions_loss: 0.4195  9/41 [=====>........................] - ETA: 9s - loss: 22.6835 - logits_profile_predictions_loss: 22.2662 - logcount_predictions_loss: 0.4174 10/41 [======>.......................] - ETA: 9s - loss: 22.6250 - logits_profile_predictions_loss: 22.2158 - logcount_predictions_loss: 0.4093 11/41 [=======>......................] - ETA: 9s - loss: 22.5969 - logits_profile_predictions_loss: 22.1900 - logcount_predictions_loss: 0.4068 12/41 [=======>......................] - ETA: 8s - loss: 22.6104 - logits_profile_predictions_loss: 22.2012 - logcount_predictions_loss: 0.4092 13/41 [========>.....................] - ETA: 8s - loss: 22.5725 - logits_profile_predictions_loss: 22.1632 - logcount_predictions_loss: 0.4093 14/41 [=========>....................] - ETA: 8s - loss: 22.6776 - logits_profile_predictions_loss: 22.2642 - logcount_predictions_loss: 0.4134 15/41 [=========>....................] - ETA: 7s - loss: 22.6364 - logits_profile_predictions_loss: 22.2214 - logcount_predictions_loss: 0.4150 16/41 [==========>...................] - ETA: 7s - loss: 22.5394 - logits_profile_predictions_loss: 22.1296 - logcount_predictions_loss: 0.4098 17/41 [===========>..................] - ETA: 7s - loss: 22.4509 - logits_profile_predictions_loss: 22.0437 - logcount_predictions_loss: 0.4073 18/41 [============>.................] - ETA: 6s - loss: 22.3899 - logits_profile_predictions_loss: 21.9832 - logcount_predictions_loss: 0.4068 19/41 [============>.................] - ETA: 6s - loss: 22.2826 - logits_profile_predictions_loss: 21.8804 - logcount_predictions_loss: 0.4022 20/41 [=============>................] - ETA: 6s - loss: 22.3335 - logits_profile_predictions_loss: 21.9306 - logcount_predictions_loss: 0.4029 21/41 [==============>...............] - ETA: 6s - loss: 22.3275 - logits_profile_predictions_loss: 21.9280 - logcount_predictions_loss: 0.3995 22/41 [===============>..............] - ETA: 5s - loss: 22.2840 - logits_profile_predictions_loss: 21.8860 - logcount_predictions_loss: 0.3981 23/41 [===============>..............] - ETA: 5s - loss: 22.2806 - logits_profile_predictions_loss: 21.8830 - logcount_predictions_loss: 0.3976 24/41 [================>.............] - ETA: 5s - loss: 22.3528 - logits_profile_predictions_loss: 21.9547 - logcount_predictions_loss: 0.3981 25/41 [=================>............] - ETA: 4s - loss: 22.3456 - logits_profile_predictions_loss: 21.9482 - logcount_predictions_loss: 0.3974 26/41 [==================>...........] - ETA: 4s - loss: 22.2943 - logits_profile_predictions_loss: 21.8990 - logcount_predictions_loss: 0.3953 27/41 [==================>...........] - ETA: 4s - loss: 22.2656 - logits_profile_predictions_loss: 21.8734 - logcount_predictions_loss: 0.3921 28/41 [===================>..........] - ETA: 3s - loss: 22.2817 - logits_profile_predictions_loss: 21.8871 - logcount_predictions_loss: 0.3946 29/41 [====================>.........] - ETA: 3s - loss: 22.3044 - logits_profile_predictions_loss: 21.9067 - logcount_predictions_loss: 0.3977 30/41 [====================>.........] - ETA: 3s - loss: 22.2103 - logits_profile_predictions_loss: 21.8164 - logcount_predictions_loss: 0.3939 31/41 [=====================>........] - ETA: 3s - loss: 22.2048 - logits_profile_predictions_loss: 21.8099 - logcount_predictions_loss: 0.3949 32/41 [======================>.......] - ETA: 2s - loss: 22.2754 - logits_profile_predictions_loss: 21.8785 - logcount_predictions_loss: 0.3969 33/41 [=======================>......] - ETA: 2s - loss: 22.2741 - logits_profile_predictions_loss: 21.8774 - logcount_predictions_loss: 0.3967 34/41 [=======================>......] - ETA: 2s - loss: 22.2635 - logits_profile_predictions_loss: 21.8662 - logcount_predictions_loss: 0.3973 35/41 [========================>.....] - ETA: 1s - loss: 22.2599 - logits_profile_predictions_loss: 21.8639 - logcount_predictions_loss: 0.3960 36/41 [=========================>....] - ETA: 1s - loss: 22.2480 - logits_profile_predictions_loss: 21.8515 - logcount_predictions_loss: 0.3965 37/41 [==========================>...] - ETA: 1s - loss: 22.2660 - logits_profile_predictions_loss: 21.8685 - logcount_predictions_loss: 0.3975 38/41 [==========================>...] - ETA: 0s - loss: 22.2829 - logits_profile_predictions_loss: 21.8849 - logcount_predictions_loss: 0.3980 39/41 [===========================>..] - ETA: 0s - loss: 22.2961 - logits_profile_predictions_loss: 21.8962 - logcount_predictions_loss: 0.3999 40/41 [============================>.] - ETA: 0s - loss: 22.2977 - logits_profile_predictions_loss: 21.8964 - logcount_predictions_loss: 0.4014 41/41 [==============================] - ETA: 0s - loss: 22.2899 - logits_profile_predictions_loss: 21.8893 - logcount_predictions_loss: 0.4006 Epoch 4: val_loss did not improve from 23.85894  41/41 [==============================] - 13s 319ms/step - loss: 22.2899 - logits_profile_predictions_loss: 21.8893 - logcount_predictions_loss: 0.4006 - val_loss: 23.9749 - val_logits_profile_predictions_loss: 23.5646 - val_logcount_predictions_loss: 0.4102 Epoch 5/50 1/41 [..............................] - ETA: 12s - loss: 23.0653 - logits_profile_predictions_loss: 22.5871 - logcount_predictions_loss: 0.4781 2/41 [>.............................] - ETA: 11s - loss: 23.1485 - logits_profile_predictions_loss: 22.6559 - logcount_predictions_loss: 0.4926 3/41 [=>............................] - ETA: 11s - loss: 22.4752 - logits_profile_predictions_loss: 22.0231 - logcount_predictions_loss: 0.4520 4/41 [=>............................] - ETA: 11s - loss: 22.6205 - logits_profile_predictions_loss: 22.1694 - logcount_predictions_loss: 0.4510 5/41 [==>...........................] - ETA: 10s - loss: 22.6012 - logits_profile_predictions_loss: 22.1655 - logcount_predictions_loss: 0.4357 6/41 [===>..........................] - ETA: 10s - loss: 23.1180 - logits_profile_predictions_loss: 22.6708 - logcount_predictions_loss: 0.4472 7/41 [====>.........................] - ETA: 10s - loss: 23.2079 - logits_profile_predictions_loss: 22.7700 - logcount_predictions_loss: 0.4380 8/41 [====>.........................] - ETA: 9s - loss: 23.0665 - logits_profile_predictions_loss: 22.6393 - logcount_predictions_loss: 0.4271  9/41 [=====>........................] - ETA: 9s - loss: 23.2575 - logits_profile_predictions_loss: 22.8257 - logcount_predictions_loss: 0.4318 10/41 [======>.......................] - ETA: 9s - loss: 23.1114 - logits_profile_predictions_loss: 22.6788 - logcount_predictions_loss: 0.4326 11/41 [=======>......................] - ETA: 9s - loss: 23.1029 - logits_profile_predictions_loss: 22.6726 - logcount_predictions_loss: 0.4302 12/41 [=======>......................] - ETA: 8s - loss: 23.0748 - logits_profile_predictions_loss: 22.6493 - logcount_predictions_loss: 0.4255 13/41 [========>.....................] - ETA: 8s - loss: 22.8070 - logits_profile_predictions_loss: 22.3918 - logcount_predictions_loss: 0.4151 14/41 [=========>....................] - ETA: 8s - loss: 22.6812 - logits_profile_predictions_loss: 22.2713 - logcount_predictions_loss: 0.4099 15/41 [=========>....................] - ETA: 7s - loss: 22.6254 - logits_profile_predictions_loss: 22.2165 - logcount_predictions_loss: 0.4089 16/41 [==========>...................] - ETA: 7s - loss: 22.5601 - logits_profile_predictions_loss: 22.1516 - logcount_predictions_loss: 0.4086 17/41 [===========>..................] - ETA: 7s - loss: 22.5148 - logits_profile_predictions_loss: 22.1069 - logcount_predictions_loss: 0.4079 18/41 [============>.................] - ETA: 6s - loss: 22.4214 - logits_profile_predictions_loss: 22.0152 - logcount_predictions_loss: 0.4063 19/41 [============>.................] - ETA: 6s - loss: 22.4117 - logits_profile_predictions_loss: 22.0042 - logcount_predictions_loss: 0.4074 20/41 [=============>................] - ETA: 6s - loss: 22.3784 - logits_profile_predictions_loss: 21.9734 - logcount_predictions_loss: 0.4050 21/41 [==============>...............] - ETA: 6s - loss: 22.3704 - logits_profile_predictions_loss: 21.9650 - logcount_predictions_loss: 0.4054 22/41 [===============>..............] - ETA: 5s - loss: 22.4040 - logits_profile_predictions_loss: 21.9968 - logcount_predictions_loss: 0.4072 23/41 [===============>..............] - ETA: 5s - loss: 22.3861 - logits_profile_predictions_loss: 21.9834 - logcount_predictions_loss: 0.4027 24/41 [================>.............] - ETA: 5s - loss: 22.3063 - logits_profile_predictions_loss: 21.9065 - logcount_predictions_loss: 0.3998 25/41 [=================>............] - ETA: 4s - loss: 22.2710 - logits_profile_predictions_loss: 21.8733 - logcount_predictions_loss: 0.3977 26/41 [==================>...........] - ETA: 4s - loss: 22.2394 - logits_profile_predictions_loss: 21.8422 - logcount_predictions_loss: 0.3971 27/41 [==================>...........] - ETA: 4s - loss: 22.2876 - logits_profile_predictions_loss: 21.8866 - logcount_predictions_loss: 0.4010 28/41 [===================>..........] - ETA: 3s - loss: 22.3226 - logits_profile_predictions_loss: 21.9212 - logcount_predictions_loss: 0.4013 29/41 [====================>.........] - ETA: 3s - loss: 22.2867 - logits_profile_predictions_loss: 21.8877 - logcount_predictions_loss: 0.3990 30/41 [====================>.........] - ETA: 3s - loss: 22.3513 - logits_profile_predictions_loss: 21.9509 - logcount_predictions_loss: 0.4004 31/41 [=====================>........] - ETA: 3s - loss: 22.3819 - logits_profile_predictions_loss: 21.9798 - logcount_predictions_loss: 0.4021 32/41 [======================>.......] - ETA: 2s - loss: 22.3678 - logits_profile_predictions_loss: 21.9662 - logcount_predictions_loss: 0.4016 33/41 [=======================>......] - ETA: 2s - loss: 22.3751 - logits_profile_predictions_loss: 21.9740 - logcount_predictions_loss: 0.4011 34/41 [=======================>......] - ETA: 2s - loss: 22.3460 - logits_profile_predictions_loss: 21.9479 - logcount_predictions_loss: 0.3981 35/41 [========================>.....] - ETA: 1s - loss: 22.3474 - logits_profile_predictions_loss: 21.9492 - logcount_predictions_loss: 0.3982 36/41 [=========================>....] - ETA: 1s - loss: 22.3752 - logits_profile_predictions_loss: 21.9756 - logcount_predictions_loss: 0.3996 37/41 [==========================>...] - ETA: 1s - loss: 22.3541 - logits_profile_predictions_loss: 21.9549 - logcount_predictions_loss: 0.3992 38/41 [==========================>...] - ETA: 0s - loss: 22.4105 - logits_profile_predictions_loss: 22.0089 - logcount_predictions_loss: 0.4016 39/41 [===========================>..] - ETA: 0s - loss: 22.3756 - logits_profile_predictions_loss: 21.9763 - logcount_predictions_loss: 0.3993 40/41 [============================>.] - ETA: 0s - loss: 22.3795 - logits_profile_predictions_loss: 21.9788 - logcount_predictions_loss: 0.4007 41/41 [==============================] - ETA: 0s - loss: 22.3927 - logits_profile_predictions_loss: 21.9902 - logcount_predictions_loss: 0.4024 Epoch 5: val_loss did not improve from 23.85894  41/41 [==============================] - 13s 319ms/step - loss: 22.3927 - logits_profile_predictions_loss: 21.9902 - logcount_predictions_loss: 0.4024 - val_loss: 23.9062 - val_logits_profile_predictions_loss: 23.4960 - val_logcount_predictions_loss: 0.4102 Epoch 6/50 1/41 [..............................] - ETA: 12s - loss: 23.0216 - logits_profile_predictions_loss: 22.6270 - logcount_predictions_loss: 0.3946 2/41 [>.............................] - ETA: 11s - loss: 22.3605 - logits_profile_predictions_loss: 21.9638 - logcount_predictions_loss: 0.3967 3/41 [=>............................] - ETA: 11s - loss: 22.2787 - logits_profile_predictions_loss: 21.8895 - logcount_predictions_loss: 0.3893 4/41 [=>............................] - ETA: 11s - loss: 21.9848 - logits_profile_predictions_loss: 21.6094 - logcount_predictions_loss: 0.3753 5/41 [==>...........................] - ETA: 10s - loss: 21.8963 - logits_profile_predictions_loss: 21.5202 - logcount_predictions_loss: 0.3761 6/41 [===>..........................] - ETA: 10s - loss: 22.1496 - logits_profile_predictions_loss: 21.7562 - logcount_predictions_loss: 0.3934 7/41 [====>.........................] - ETA: 10s - loss: 22.4744 - logits_profile_predictions_loss: 22.0654 - logcount_predictions_loss: 0.4090 8/41 [====>.........................] - ETA: 10s - loss: 22.4857 - logits_profile_predictions_loss: 22.0818 - logcount_predictions_loss: 0.4039 9/41 [=====>........................] - ETA: 9s - loss: 22.4212 - logits_profile_predictions_loss: 22.0166 - logcount_predictions_loss: 0.4046  10/41 [======>.......................] - ETA: 9s - loss: 22.4117 - logits_profile_predictions_loss: 22.0083 - logcount_predictions_loss: 0.4034 11/41 [=======>......................] - ETA: 9s - loss: 22.3884 - logits_profile_predictions_loss: 21.9832 - logcount_predictions_loss: 0.4052 12/41 [=======>......................] - ETA: 8s - loss: 22.2854 - logits_profile_predictions_loss: 21.8874 - logcount_predictions_loss: 0.3981 13/41 [========>.....................] - ETA: 8s - loss: 22.1885 - logits_profile_predictions_loss: 21.7895 - logcount_predictions_loss: 0.3991 14/41 [=========>....................] - ETA: 8s - loss: 22.1279 - logits_profile_predictions_loss: 21.7252 - logcount_predictions_loss: 0.4027 15/41 [=========>....................] - ETA: 7s - loss: 22.0380 - logits_profile_predictions_loss: 21.6364 - logcount_predictions_loss: 0.4016 16/41 [==========>...................] - ETA: 7s - loss: 22.2700 - logits_profile_predictions_loss: 21.8598 - logcount_predictions_loss: 0.4102 17/41 [===========>..................] - ETA: 7s - loss: 22.1491 - logits_profile_predictions_loss: 21.7445 - logcount_predictions_loss: 0.4046 18/41 [============>.................] - ETA: 6s - loss: 22.1098 - logits_profile_predictions_loss: 21.7060 - logcount_predictions_loss: 0.4038 19/41 [============>.................] - ETA: 6s - loss: 22.0595 - logits_profile_predictions_loss: 21.6579 - logcount_predictions_loss: 0.4016 20/41 [=============>................] - ETA: 6s - loss: 22.0982 - logits_profile_predictions_loss: 21.6924 - logcount_predictions_loss: 0.4058 21/41 [==============>...............] - ETA: 6s - loss: 22.0631 - logits_profile_predictions_loss: 21.6578 - logcount_predictions_loss: 0.4054 22/41 [===============>..............] - ETA: 5s - loss: 22.0574 - logits_profile_predictions_loss: 21.6544 - logcount_predictions_loss: 0.4030 23/41 [===============>..............] - ETA: 5s - loss: 22.0477 - logits_profile_predictions_loss: 21.6458 - logcount_predictions_loss: 0.4019 24/41 [================>.............] - ETA: 5s - loss: 22.1935 - logits_profile_predictions_loss: 21.7858 - logcount_predictions_loss: 0.4077 25/41 [=================>............] - ETA: 4s - loss: 22.1448 - logits_profile_predictions_loss: 21.7396 - logcount_predictions_loss: 0.4052 26/41 [==================>...........] - ETA: 4s - loss: 22.1577 - logits_profile_predictions_loss: 21.7510 - logcount_predictions_loss: 0.4067 27/41 [==================>...........] - ETA: 4s - loss: 22.1460 - logits_profile_predictions_loss: 21.7387 - logcount_predictions_loss: 0.4073 28/41 [===================>..........] - ETA: 3s - loss: 22.1178 - logits_profile_predictions_loss: 21.7127 - logcount_predictions_loss: 0.4051 29/41 [====================>.........] - ETA: 3s - loss: 22.0940 - logits_profile_predictions_loss: 21.6883 - logcount_predictions_loss: 0.4057 30/41 [====================>.........] - ETA: 3s - loss: 22.1180 - logits_profile_predictions_loss: 21.7089 - logcount_predictions_loss: 0.4092 31/41 [=====================>........] - ETA: 3s - loss: 22.0994 - logits_profile_predictions_loss: 21.6934 - logcount_predictions_loss: 0.4060 32/41 [======================>.......] - ETA: 2s - loss: 22.1346 - logits_profile_predictions_loss: 21.7276 - logcount_predictions_loss: 0.4071 33/41 [=======================>......] - ETA: 2s - loss: 22.1332 - logits_profile_predictions_loss: 21.7262 - logcount_predictions_loss: 0.4070 34/41 [=======================>......] - ETA: 2s - loss: 22.1869 - logits_profile_predictions_loss: 21.7784 - logcount_predictions_loss: 0.4085 35/41 [========================>.....] - ETA: 1s - loss: 22.2356 - logits_profile_predictions_loss: 21.8235 - logcount_predictions_loss: 0.4121 36/41 [=========================>....] - ETA: 1s - loss: 22.2585 - logits_profile_predictions_loss: 21.8462 - logcount_predictions_loss: 0.4124 37/41 [==========================>...] - ETA: 1s - loss: 22.2339 - logits_profile_predictions_loss: 21.8221 - logcount_predictions_loss: 0.4118 38/41 [==========================>...] - ETA: 0s - loss: 22.2268 - logits_profile_predictions_loss: 21.8158 - logcount_predictions_loss: 0.4110 39/41 [===========================>..] - ETA: 0s - loss: 22.2537 - logits_profile_predictions_loss: 21.8421 - logcount_predictions_loss: 0.4116 40/41 [============================>.] - ETA: 0s - loss: 22.2387 - logits_profile_predictions_loss: 21.8284 - logcount_predictions_loss: 0.4104 41/41 [==============================] - ETA: 0s - loss: 22.2153 - logits_profile_predictions_loss: 21.8061 - logcount_predictions_loss: 0.4092 Epoch 6: val_loss did not improve from 23.85894  41/41 [==============================] - 13s 320ms/step - loss: 22.2153 - logits_profile_predictions_loss: 21.8061 - logcount_predictions_loss: 0.4092 - val_loss: 23.8875 - val_logits_profile_predictions_loss: 23.4773 - val_logcount_predictions_loss: 0.4102 Epoch 7/50 1/41 [..............................] - ETA: 12s - loss: 21.5364 - logits_profile_predictions_loss: 21.0947 - logcount_predictions_loss: 0.4417 2/41 [>.............................] - ETA: 11s - loss: 21.4796 - logits_profile_predictions_loss: 21.0803 - logcount_predictions_loss: 0.3993 3/41 [=>............................] - ETA: 11s - loss: 21.9665 - logits_profile_predictions_loss: 21.5300 - logcount_predictions_loss: 0.4364 4/41 [=>............................] - ETA: 11s - loss: 22.0356 - logits_profile_predictions_loss: 21.5999 - logcount_predictions_loss: 0.4356 5/41 [==>...........................] - ETA: 10s - loss: 21.9300 - logits_profile_predictions_loss: 21.4968 - logcount_predictions_loss: 0.4332 6/41 [===>..........................] - ETA: 10s - loss: 21.9308 - logits_profile_predictions_loss: 21.5008 - logcount_predictions_loss: 0.4300 7/41 [====>.........................] - ETA: 10s - loss: 21.6285 - logits_profile_predictions_loss: 21.2120 - logcount_predictions_loss: 0.4165 8/41 [====>.........................] - ETA: 10s - loss: 21.5225 - logits_profile_predictions_loss: 21.1133 - logcount_predictions_loss: 0.4093 9/41 [=====>........................] - ETA: 9s - loss: 21.4430 - logits_profile_predictions_loss: 21.0454 - logcount_predictions_loss: 0.3976  10/41 [======>.......................] - ETA: 9s - loss: 21.4306 - logits_profile_predictions_loss: 21.0281 - logcount_predictions_loss: 0.4025 11/41 [=======>......................] - ETA: 9s - loss: 21.4386 - logits_profile_predictions_loss: 21.0368 - logcount_predictions_loss: 0.4018 12/41 [=======>......................] - ETA: 8s - loss: 21.4513 - logits_profile_predictions_loss: 21.0527 - logcount_predictions_loss: 0.3986 13/41 [========>.....................] - ETA: 8s - loss: 21.4025 - logits_profile_predictions_loss: 21.0097 - logcount_predictions_loss: 0.3928 14/41 [=========>....................] - ETA: 8s - loss: 21.3722 - logits_profile_predictions_loss: 20.9813 - logcount_predictions_loss: 0.3909 15/41 [=========>....................] - ETA: 7s - loss: 21.3440 - logits_profile_predictions_loss: 20.9564 - logcount_predictions_loss: 0.3876 16/41 [==========>...................] - ETA: 7s - loss: 21.5082 - logits_profile_predictions_loss: 21.1155 - logcount_predictions_loss: 0.3927 17/41 [===========>..................] - ETA: 7s - loss: 21.5710 - logits_profile_predictions_loss: 21.1752 - logcount_predictions_loss: 0.3958 18/41 [============>.................] - ETA: 6s - loss: 21.6342 - logits_profile_predictions_loss: 21.2352 - logcount_predictions_loss: 0.3990 19/41 [============>.................] - ETA: 6s - loss: 21.7091 - logits_profile_predictions_loss: 21.3063 - logcount_predictions_loss: 0.4028 20/41 [=============>................] - ETA: 6s - loss: 21.7610 - logits_profile_predictions_loss: 21.3562 - logcount_predictions_loss: 0.4049 21/41 [==============>...............] - ETA: 6s - loss: 21.7155 - logits_profile_predictions_loss: 21.3131 - logcount_predictions_loss: 0.4024 22/41 [===============>..............] - ETA: 5s - loss: 21.7147 - logits_profile_predictions_loss: 21.3142 - logcount_predictions_loss: 0.4006 23/41 [===============>..............] - ETA: 5s - loss: 21.7374 - logits_profile_predictions_loss: 21.3350 - logcount_predictions_loss: 0.4024 24/41 [================>.............] - ETA: 5s - loss: 21.7723 - logits_profile_predictions_loss: 21.3680 - logcount_predictions_loss: 0.4043 25/41 [=================>............] - ETA: 4s - loss: 21.7297 - logits_profile_predictions_loss: 21.3296 - logcount_predictions_loss: 0.4001 26/41 [==================>...........] - ETA: 4s - loss: 21.6767 - logits_profile_predictions_loss: 21.2795 - logcount_predictions_loss: 0.3972 27/41 [==================>...........] - ETA: 4s - loss: 21.6662 - logits_profile_predictions_loss: 21.2698 - logcount_predictions_loss: 0.3964 28/41 [===================>..........] - ETA: 3s - loss: 21.6922 - logits_profile_predictions_loss: 21.2968 - logcount_predictions_loss: 0.3954 29/41 [====================>.........] - ETA: 3s - loss: 21.7263 - logits_profile_predictions_loss: 21.3301 - logcount_predictions_loss: 0.3962 30/41 [====================>.........] - ETA: 3s - loss: 21.7134 - logits_profile_predictions_loss: 21.3172 - logcount_predictions_loss: 0.3963 31/41 [=====================>........] - ETA: 3s - loss: 21.7014 - logits_profile_predictions_loss: 21.3057 - logcount_predictions_loss: 0.3958 32/41 [======================>.......] - ETA: 2s - loss: 21.7210 - logits_profile_predictions_loss: 21.3247 - logcount_predictions_loss: 0.3964 33/41 [=======================>......] - ETA: 2s - loss: 21.7823 - logits_profile_predictions_loss: 21.3827 - logcount_predictions_loss: 0.3996 34/41 [=======================>......] - ETA: 2s - loss: 21.7850 - logits_profile_predictions_loss: 21.3866 - logcount_predictions_loss: 0.3984 35/41 [========================>.....] - ETA: 1s - loss: 21.8066 - logits_profile_predictions_loss: 21.4088 - logcount_predictions_loss: 0.3978 36/41 [=========================>....] - ETA: 1s - loss: 21.8537 - logits_profile_predictions_loss: 21.4548 - logcount_predictions_loss: 0.3989 37/41 [==========================>...] - ETA: 1s - loss: 21.8578 - logits_profile_predictions_loss: 21.4575 - logcount_predictions_loss: 0.4003 38/41 [==========================>...] - ETA: 0s - loss: 21.9177 - logits_profile_predictions_loss: 21.5154 - logcount_predictions_loss: 0.4023 39/41 [===========================>..] - ETA: 0s - loss: 21.9720 - logits_profile_predictions_loss: 21.5671 - logcount_predictions_loss: 0.4050 40/41 [============================>.] - ETA: 0s - loss: 22.0308 - logits_profile_predictions_loss: 21.6232 - logcount_predictions_loss: 0.4076 41/41 [==============================] - ETA: 0s - loss: 22.0451 - logits_profile_predictions_loss: 21.6376 - logcount_predictions_loss: 0.4076 Epoch 7: val_loss improved from 23.85894 to 23.81120, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.adipocyte.In/fold_2/models/chrombpnet.h5  41/41 [==============================] - 13s 328ms/step - loss: 22.0451 - logits_profile_predictions_loss: 21.6376 - logcount_predictions_loss: 0.4076 - val_loss: 23.8112 - val_logits_profile_predictions_loss: 23.4010 - val_logcount_predictions_loss: 0.4102 Epoch 8/50 1/41 [..............................] - ETA: 12s - loss: 20.5597 - logits_profile_predictions_loss: 20.2423 - logcount_predictions_loss: 0.3174 2/41 [>.............................] - ETA: 11s - loss: 20.9282 - logits_profile_predictions_loss: 20.5770 - logcount_predictions_loss: 0.3513 3/41 [=>............................] - ETA: 11s - loss: 21.3064 - logits_profile_predictions_loss: 20.9259 - logcount_predictions_loss: 0.3805 4/41 [=>............................] - ETA: 11s - loss: 21.4262 - logits_profile_predictions_loss: 21.0487 - logcount_predictions_loss: 0.3775 5/41 [==>...........................] - ETA: 10s - loss: 21.7582 - logits_profile_predictions_loss: 21.3664 - logcount_predictions_loss: 0.3918 6/41 [===>..........................] - ETA: 10s - loss: 21.7433 - logits_profile_predictions_loss: 21.3604 - logcount_predictions_loss: 0.3829 7/41 [====>.........................] - ETA: 10s - loss: 21.8764 - logits_profile_predictions_loss: 21.4907 - logcount_predictions_loss: 0.3858 8/41 [====>.........................] - ETA: 10s - loss: 22.0050 - logits_profile_predictions_loss: 21.6164 - logcount_predictions_loss: 0.3886 9/41 [=====>........................] - ETA: 9s - loss: 22.0938 - logits_profile_predictions_loss: 21.6942 - logcount_predictions_loss: 0.3996  10/41 [======>.......................] - ETA: 9s - loss: 22.1052 - logits_profile_predictions_loss: 21.7080 - logcount_predictions_loss: 0.3972 11/41 [=======>......................] - ETA: 9s - loss: 22.0416 - logits_profile_predictions_loss: 21.6469 - logcount_predictions_loss: 0.3947 12/41 [=======>......................] - ETA: 8s - loss: 22.1464 - logits_profile_predictions_loss: 21.7444 - logcount_predictions_loss: 0.4020 13/41 [========>.....................] - ETA: 8s - loss: 22.2353 - logits_profile_predictions_loss: 21.8257 - logcount_predictions_loss: 0.4096 14/41 [=========>....................] - ETA: 8s - loss: 22.3278 - logits_profile_predictions_loss: 21.9126 - logcount_predictions_loss: 0.4152 15/41 [=========>....................] - ETA: 7s - loss: 22.3277 - logits_profile_predictions_loss: 21.9130 - logcount_predictions_loss: 0.4148 16/41 [==========>...................] - ETA: 7s - loss: 22.3353 - logits_profile_predictions_loss: 21.9149 - logcount_predictions_loss: 0.4205 17/41 [===========>..................] - ETA: 7s - loss: 22.2230 - logits_profile_predictions_loss: 21.8067 - logcount_predictions_loss: 0.4164 18/41 [============>.................] - ETA: 6s - loss: 22.2044 - logits_profile_predictions_loss: 21.7908 - logcount_predictions_loss: 0.4136 19/41 [============>.................] - ETA: 6s - loss: 22.0892 - logits_profile_predictions_loss: 21.6831 - logcount_predictions_loss: 0.4062 20/41 [=============>................] - ETA: 6s - loss: 21.9956 - logits_profile_predictions_loss: 21.5927 - logcount_predictions_loss: 0.4029 21/41 [==============>...............] - ETA: 6s - loss: 21.9752 - logits_profile_predictions_loss: 21.5706 - logcount_predictions_loss: 0.4046 22/41 [===============>..............] - ETA: 5s - loss: 21.9536 - logits_profile_predictions_loss: 21.5513 - logcount_predictions_loss: 0.4023 23/41 [===============>..............] - ETA: 5s - loss: 21.8829 - logits_profile_predictions_loss: 21.4826 - logcount_predictions_loss: 0.4003 24/41 [================>.............] - ETA: 5s - loss: 21.8784 - logits_profile_predictions_loss: 21.4811 - logcount_predictions_loss: 0.3972 25/41 [=================>............] - ETA: 4s - loss: 21.8538 - logits_profile_predictions_loss: 21.4570 - logcount_predictions_loss: 0.3968 26/41 [==================>...........] - ETA: 4s - loss: 21.9572 - logits_profile_predictions_loss: 21.5559 - logcount_predictions_loss: 0.4013 27/41 [==================>...........] - ETA: 4s - loss: 21.9608 - logits_profile_predictions_loss: 21.5577 - logcount_predictions_loss: 0.4032 28/41 [===================>..........] - ETA: 3s - loss: 21.9523 - logits_profile_predictions_loss: 21.5494 - logcount_predictions_loss: 0.4029 29/41 [====================>.........] - ETA: 3s - loss: 21.9250 - logits_profile_predictions_loss: 21.5238 - logcount_predictions_loss: 0.4012 30/41 [====================>.........] - ETA: 3s - loss: 21.9147 - logits_profile_predictions_loss: 21.5143 - logcount_predictions_loss: 0.4004 31/41 [=====================>........] - ETA: 3s - loss: 21.8991 - logits_profile_predictions_loss: 21.4993 - logcount_predictions_loss: 0.3998 32/41 [======================>.......] - ETA: 2s - loss: 21.9888 - logits_profile_predictions_loss: 21.5845 - logcount_predictions_loss: 0.4043 33/41 [=======================>......] - ETA: 2s - loss: 21.9912 - logits_profile_predictions_loss: 21.5877 - logcount_predictions_loss: 0.4035 34/41 [=======================>......] - ETA: 2s - loss: 21.9658 - logits_profile_predictions_loss: 21.5645 - logcount_predictions_loss: 0.4013 35/41 [========================>.....] - ETA: 1s - loss: 21.9651 - logits_profile_predictions_loss: 21.5648 - logcount_predictions_loss: 0.4003 36/41 [=========================>....] - ETA: 1s - loss: 22.0342 - logits_profile_predictions_loss: 21.6316 - logcount_predictions_loss: 0.4026 37/41 [==========================>...] - ETA: 1s - loss: 22.0094 - logits_profile_predictions_loss: 21.6082 - logcount_predictions_loss: 0.4012 38/41 [==========================>...] - ETA: 0s - loss: 22.0280 - logits_profile_predictions_loss: 21.6253 - logcount_predictions_loss: 0.4027 39/41 [===========================>..] - ETA: 0s - loss: 22.0779 - logits_profile_predictions_loss: 21.6737 - logcount_predictions_loss: 0.4042 40/41 [============================>.] - ETA: 0s - loss: 22.0567 - logits_profile_predictions_loss: 21.6537 - logcount_predictions_loss: 0.4030 41/41 [==============================] - ETA: 0s - loss: 22.0690 - logits_profile_predictions_loss: 21.6645 - logcount_predictions_loss: 0.4044 Epoch 8: val_loss did not improve from 23.81120  41/41 [==============================] - 13s 320ms/step - loss: 22.0690 - logits_profile_predictions_loss: 21.6645 - logcount_predictions_loss: 0.4044 - val_loss: 23.9088 - val_logits_profile_predictions_loss: 23.4986 - val_logcount_predictions_loss: 0.4102 Epoch 9/50 1/41 [..............................] - ETA: 12s - loss: 21.1683 - logits_profile_predictions_loss: 20.7868 - logcount_predictions_loss: 0.3815 2/41 [>.............................] - ETA: 11s - loss: 20.7827 - logits_profile_predictions_loss: 20.4069 - logcount_predictions_loss: 0.3758 3/41 [=>............................] - ETA: 11s - loss: 20.7181 - logits_profile_predictions_loss: 20.3501 - logcount_predictions_loss: 0.3680 4/41 [=>............................] - ETA: 11s - loss: 21.2180 - logits_profile_predictions_loss: 20.8246 - logcount_predictions_loss: 0.3934 5/41 [==>...........................] - ETA: 10s - loss: 21.1374 - logits_profile_predictions_loss: 20.7530 - logcount_predictions_loss: 0.3844 6/41 [===>..........................] - ETA: 10s - loss: 21.4657 - logits_profile_predictions_loss: 21.0744 - logcount_predictions_loss: 0.3914 7/41 [====>.........................] - ETA: 10s - loss: 21.3102 - logits_profile_predictions_loss: 20.9320 - logcount_predictions_loss: 0.3782 8/41 [====>.........................] - ETA: 10s - loss: 21.2626 - logits_profile_predictions_loss: 20.8848 - logcount_predictions_loss: 0.3778 9/41 [=====>........................] - ETA: 9s - loss: 21.3790 - logits_profile_predictions_loss: 20.9985 - logcount_predictions_loss: 0.3805  10/41 [======>.......................] - ETA: 9s - loss: 21.3072 - logits_profile_predictions_loss: 20.9264 - logcount_predictions_loss: 0.3809 11/41 [=======>......................] - ETA: 9s - loss: 21.3160 - logits_profile_predictions_loss: 20.9380 - logcount_predictions_loss: 0.3781 12/41 [=======>......................] - ETA: 8s - loss: 21.3115 - logits_profile_predictions_loss: 20.9336 - logcount_predictions_loss: 0.3780 13/41 [========>.....................] - ETA: 8s - loss: 21.3527 - logits_profile_predictions_loss: 20.9686 - logcount_predictions_loss: 0.3842 14/41 [=========>....................] - ETA: 8s - loss: 21.3916 - logits_profile_predictions_loss: 21.0090 - logcount_predictions_loss: 0.3825 15/41 [=========>....................] - ETA: 7s - loss: 21.3476 - logits_profile_predictions_loss: 20.9663 - logcount_predictions_loss: 0.3813 16/41 [==========>...................] - ETA: 7s - loss: 21.4155 - logits_profile_predictions_loss: 21.0328 - logcount_predictions_loss: 0.3827 17/41 [===========>..................] - ETA: 7s - loss: 21.3392 - logits_profile_predictions_loss: 20.9618 - logcount_predictions_loss: 0.3774 18/41 [============>.................] - ETA: 6s - loss: 21.2434 - logits_profile_predictions_loss: 20.8724 - logcount_predictions_loss: 0.3710 19/41 [============>.................] - ETA: 6s - loss: 21.3003 - logits_profile_predictions_loss: 20.9274 - logcount_predictions_loss: 0.3729 20/41 [=============>................] - ETA: 6s - loss: 21.3457 - logits_profile_predictions_loss: 20.9716 - logcount_predictions_loss: 0.3741 21/41 [==============>...............] - ETA: 6s - loss: 21.4324 - logits_profile_predictions_loss: 21.0557 - logcount_predictions_loss: 0.3768 22/41 [===============>..............] - ETA: 5s - loss: 21.4546 - logits_profile_predictions_loss: 21.0789 - logcount_predictions_loss: 0.3757 23/41 [===============>..............] - ETA: 5s - loss: 21.4266 - logits_profile_predictions_loss: 21.0498 - logcount_predictions_loss: 0.3768 24/41 [================>.............] - ETA: 5s - loss: 21.4619 - logits_profile_predictions_loss: 21.0840 - logcount_predictions_loss: 0.3780 25/41 [=================>............] - ETA: 4s - loss: 21.4641 - logits_profile_predictions_loss: 21.0879 - logcount_predictions_loss: 0.3761 26/41 [==================>...........] - ETA: 4s - loss: 21.5971 - logits_profile_predictions_loss: 21.2131 - logcount_predictions_loss: 0.3840 27/41 [==================>...........] - ETA: 4s - loss: 21.6688 - logits_profile_predictions_loss: 21.2790 - logcount_predictions_loss: 0.3897 28/41 [===================>..........] - ETA: 3s - loss: 21.6669 - logits_profile_predictions_loss: 21.2748 - logcount_predictions_loss: 0.3921 29/41 [====================>.........] - ETA: 3s - loss: 21.6277 - logits_profile_predictions_loss: 21.2356 - logcount_predictions_loss: 0.3921 30/41 [====================>.........] - ETA: 3s - loss: 21.6216 - logits_profile_predictions_loss: 21.2292 - logcount_predictions_loss: 0.3924 31/41 [=====================>........] - ETA: 3s - loss: 21.6088 - logits_profile_predictions_loss: 21.2168 - logcount_predictions_loss: 0.3921 32/41 [======================>.......] - ETA: 2s - loss: 21.6409 - logits_profile_predictions_loss: 21.2471 - logcount_predictions_loss: 0.3938 33/41 [=======================>......] - ETA: 2s - loss: 21.6391 - logits_profile_predictions_loss: 21.2452 - logcount_predictions_loss: 0.3939 34/41 [=======================>......] - ETA: 2s - loss: 21.6622 - logits_profile_predictions_loss: 21.2671 - logcount_predictions_loss: 0.3951 35/41 [========================>.....] - ETA: 1s - loss: 21.6497 - logits_profile_predictions_loss: 21.2552 - logcount_predictions_loss: 0.3945 36/41 [=========================>....] - ETA: 1s - loss: 21.6711 - logits_profile_predictions_loss: 21.2756 - logcount_predictions_loss: 0.3954 37/41 [==========================>...] - ETA: 1s - loss: 21.6676 - logits_profile_predictions_loss: 21.2728 - logcount_predictions_loss: 0.3947 38/41 [==========================>...] - ETA: 0s - loss: 21.6757 - logits_profile_predictions_loss: 21.2804 - logcount_predictions_loss: 0.3953 39/41 [===========================>..] - ETA: 0s - loss: 21.6420 - logits_profile_predictions_loss: 21.2484 - logcount_predictions_loss: 0.3937 40/41 [============================>.] - ETA: 0s - loss: 21.6428 - logits_profile_predictions_loss: 21.2486 - logcount_predictions_loss: 0.3942 41/41 [==============================] - ETA: 0s - loss: 21.6587 - logits_profile_predictions_loss: 21.2638 - logcount_predictions_loss: 0.3949 Epoch 9: val_loss did not improve from 23.81120  41/41 [==============================] - 13s 320ms/step - loss: 21.6587 - logits_profile_predictions_loss: 21.2638 - logcount_predictions_loss: 0.3949 - val_loss: 23.9949 - val_logits_profile_predictions_loss: 23.5847 - val_logcount_predictions_loss: 0.4102 Epoch 10/50 1/41 [..............................] - ETA: 12s - loss: 19.3001 - logits_profile_predictions_loss: 19.0107 - logcount_predictions_loss: 0.2894 2/41 [>.............................] - ETA: 11s - loss: 20.3669 - logits_profile_predictions_loss: 19.9693 - logcount_predictions_loss: 0.3976 3/41 [=>............................] - ETA: 11s - loss: 20.6382 - logits_profile_predictions_loss: 20.2364 - logcount_predictions_loss: 0.4018 4/41 [=>............................] - ETA: 10s - loss: 20.7860 - logits_profile_predictions_loss: 20.3931 - logcount_predictions_loss: 0.3929 5/41 [==>...........................] - ETA: 10s - loss: 21.2852 - logits_profile_predictions_loss: 20.8790 - logcount_predictions_loss: 0.4062 6/41 [===>..........................] - ETA: 10s - loss: 21.2451 - logits_profile_predictions_loss: 20.8357 - logcount_predictions_loss: 0.4095 7/41 [====>.........................] - ETA: 10s - loss: 21.3672 - logits_profile_predictions_loss: 20.9629 - logcount_predictions_loss: 0.4042 8/41 [====>.........................] - ETA: 9s - loss: 21.1580 - logits_profile_predictions_loss: 20.7596 - logcount_predictions_loss: 0.3984  9/41 [=====>........................] - ETA: 9s - loss: 21.1546 - logits_profile_predictions_loss: 20.7573 - logcount_predictions_loss: 0.3973 10/41 [======>.......................] - ETA: 9s - loss: 21.2703 - logits_profile_predictions_loss: 20.8722 - logcount_predictions_loss: 0.3980 11/41 [=======>......................] - ETA: 9s - loss: 21.2222 - logits_profile_predictions_loss: 20.8284 - logcount_predictions_loss: 0.3938 12/41 [=======>......................] - ETA: 8s - loss: 21.2025 - logits_profile_predictions_loss: 20.8080 - logcount_predictions_loss: 0.3945 13/41 [========>.....................] - ETA: 8s - loss: 21.3739 - logits_profile_predictions_loss: 20.9755 - logcount_predictions_loss: 0.3984 14/41 [=========>....................] - ETA: 8s - loss: 21.4038 - logits_profile_predictions_loss: 21.0036 - logcount_predictions_loss: 0.4002 15/41 [=========>....................] - ETA: 7s - loss: 21.2804 - logits_profile_predictions_loss: 20.8845 - logcount_predictions_loss: 0.3959 16/41 [==========>...................] - ETA: 7s - loss: 21.3792 - logits_profile_predictions_loss: 20.9792 - logcount_predictions_loss: 0.4001 17/41 [===========>..................] - ETA: 7s - loss: 21.5405 - logits_profile_predictions_loss: 21.1351 - logcount_predictions_loss: 0.4054 18/41 [============>.................] - ETA: 6s - loss: 21.4886 - logits_profile_predictions_loss: 21.0841 - logcount_predictions_loss: 0.4046 19/41 [============>.................] - ETA: 6s - loss: 21.5702 - logits_profile_predictions_loss: 21.1635 - logcount_predictions_loss: 0.4068 20/41 [=============>................] - ETA: 6s - loss: 21.5870 - logits_profile_predictions_loss: 21.1772 - logcount_predictions_loss: 0.4099 21/41 [==============>...............] - ETA: 6s - loss: 21.5675 - logits_profile_predictions_loss: 21.1591 - logcount_predictions_loss: 0.4084 22/41 [===============>..............] - ETA: 5s - loss: 21.5609 - logits_profile_predictions_loss: 21.1535 - logcount_predictions_loss: 0.4074 23/41 [===============>..............] - ETA: 5s - loss: 21.5467 - logits_profile_predictions_loss: 21.1417 - logcount_predictions_loss: 0.4050 24/41 [================>.............] - ETA: 5s - loss: 21.5430 - logits_profile_predictions_loss: 21.1410 - logcount_predictions_loss: 0.4020 25/41 [=================>............] - ETA: 4s - loss: 21.6128 - logits_profile_predictions_loss: 21.2121 - logcount_predictions_loss: 0.4007 26/41 [==================>...........] - ETA: 4s - loss: 21.5783 - logits_profile_predictions_loss: 21.1765 - logcount_predictions_loss: 0.4019 27/41 [==================>...........] - ETA: 4s - loss: 21.5407 - logits_profile_predictions_loss: 21.1397 - logcount_predictions_loss: 0.4010 28/41 [===================>..........] - ETA: 3s - loss: 21.4592 - logits_profile_predictions_loss: 21.0597 - logcount_predictions_loss: 0.3995 29/41 [====================>.........] - ETA: 3s - loss: 21.4998 - logits_profile_predictions_loss: 21.0967 - logcount_predictions_loss: 0.4031 30/41 [====================>.........] - ETA: 3s - loss: 21.6085 - logits_profile_predictions_loss: 21.2013 - logcount_predictions_loss: 0.4071 31/41 [=====================>........] - ETA: 3s - loss: 21.6583 - logits_profile_predictions_loss: 21.2507 - logcount_predictions_loss: 0.4076 32/41 [======================>.......] - ETA: 2s - loss: 21.6660 - logits_profile_predictions_loss: 21.2596 - logcount_predictions_loss: 0.4064 33/41 [=======================>......] - ETA: 2s - loss: 21.6724 - logits_profile_predictions_loss: 21.2679 - logcount_predictions_loss: 0.4045 34/41 [=======================>......] - ETA: 2s - loss: 21.6475 - logits_profile_predictions_loss: 21.2443 - logcount_predictions_loss: 0.4032 35/41 [========================>.....] - ETA: 1s - loss: 21.6997 - logits_profile_predictions_loss: 21.2954 - logcount_predictions_loss: 0.4044 36/41 [=========================>....] - ETA: 1s - loss: 21.7075 - logits_profile_predictions_loss: 21.3022 - logcount_predictions_loss: 0.4053 37/41 [==========================>...] - ETA: 1s - loss: 21.7058 - logits_profile_predictions_loss: 21.2988 - logcount_predictions_loss: 0.4070 38/41 [==========================>...] - ETA: 0s - loss: 21.7265 - logits_profile_predictions_loss: 21.3196 - logcount_predictions_loss: 0.4069 39/41 [===========================>..] - ETA: 0s - loss: 21.6947 - logits_profile_predictions_loss: 21.2872 - logcount_predictions_loss: 0.4074 40/41 [============================>.] - ETA: 0s - loss: 21.7035 - logits_profile_predictions_loss: 21.2960 - logcount_predictions_loss: 0.4075 41/41 [==============================] - ETA: 0s - loss: 21.7415 - logits_profile_predictions_loss: 21.3333 - logcount_predictions_loss: 0.4083 Epoch 10: val_loss did not improve from 23.81120  41/41 [==============================] - 13s 320ms/step - loss: 21.7415 - logits_profile_predictions_loss: 21.3333 - logcount_predictions_loss: 0.4083 - val_loss: 23.8903 - val_logits_profile_predictions_loss: 23.4801 - val_logcount_predictions_loss: 0.4102 Epoch 11/50 1/41 [..............................] - ETA: 12s - loss: 21.1658 - logits_profile_predictions_loss: 20.6908 - logcount_predictions_loss: 0.4750 2/41 [>.............................] - ETA: 11s - loss: 22.3485 - logits_profile_predictions_loss: 21.8607 - logcount_predictions_loss: 0.4879 3/41 [=>............................] - ETA: 11s - loss: 22.3789 - logits_profile_predictions_loss: 21.9174 - logcount_predictions_loss: 0.4615 4/41 [=>............................] - ETA: 11s - loss: 22.2801 - logits_profile_predictions_loss: 21.8389 - logcount_predictions_loss: 0.4412 5/41 [==>...........................] - ETA: 10s - loss: 21.7194 - logits_profile_predictions_loss: 21.2997 - logcount_predictions_loss: 0.4197 6/41 [===>..........................] - ETA: 10s - loss: 21.7408 - logits_profile_predictions_loss: 21.3248 - logcount_predictions_loss: 0.4160 7/41 [====>.........................] - ETA: 10s - loss: 21.7904 - logits_profile_predictions_loss: 21.3755 - logcount_predictions_loss: 0.4149 8/41 [====>.........................] - ETA: 10s - loss: 21.7022 - logits_profile_predictions_loss: 21.2868 - logcount_predictions_loss: 0.4154 9/41 [=====>........................] - ETA: 9s - loss: 21.7526 - logits_profile_predictions_loss: 21.3316 - logcount_predictions_loss: 0.4209  10/41 [======>.......................] - ETA: 9s - loss: 21.8000 - logits_profile_predictions_loss: 21.3800 - logcount_predictions_loss: 0.4200 11/41 [=======>......................] - ETA: 9s - loss: 21.7408 - logits_profile_predictions_loss: 21.3241 - logcount_predictions_loss: 0.4167 12/41 [=======>......................] - ETA: 8s - loss: 21.6061 - logits_profile_predictions_loss: 21.1915 - logcount_predictions_loss: 0.4146 13/41 [========>.....................] - ETA: 8s - loss: 21.5927 - logits_profile_predictions_loss: 21.1824 - logcount_predictions_loss: 0.4103 14/41 [=========>....................] - ETA: 8s - loss: 21.5709 - logits_profile_predictions_loss: 21.1618 - logcount_predictions_loss: 0.4091 15/41 [=========>....................] - ETA: 7s - loss: 21.6719 - logits_profile_predictions_loss: 21.2572 - logcount_predictions_loss: 0.4147 16/41 [==========>...................] - ETA: 7s - loss: 21.6088 - logits_profile_predictions_loss: 21.1963 - logcount_predictions_loss: 0.4125 17/41 [===========>..................] - ETA: 7s - loss: 21.6359 - logits_profile_predictions_loss: 21.2232 - logcount_predictions_loss: 0.4127 18/41 [============>.................] - ETA: 6s - loss: 21.5841 - logits_profile_predictions_loss: 21.1717 - logcount_predictions_loss: 0.4124 19/41 [============>.................] - ETA: 6s - loss: 21.5338 - logits_profile_predictions_loss: 21.1232 - logcount_predictions_loss: 0.4106 20/41 [=============>................] - ETA: 6s - loss: 21.6002 - logits_profile_predictions_loss: 21.1874 - logcount_predictions_loss: 0.4128 21/41 [==============>...............] - ETA: 6s - loss: 21.5886 - logits_profile_predictions_loss: 21.1774 - logcount_predictions_loss: 0.4113 22/41 [===============>..............] - ETA: 5s - loss: 21.5694 - logits_profile_predictions_loss: 21.1580 - logcount_predictions_loss: 0.4114 23/41 [===============>..............] - ETA: 5s - loss: 21.5740 - logits_profile_predictions_loss: 21.1613 - logcount_predictions_loss: 0.4127 24/41 [================>.............] - ETA: 5s - loss: 21.7108 - logits_profile_predictions_loss: 21.2929 - logcount_predictions_loss: 0.4179 25/41 [=================>............] - ETA: 4s - loss: 21.7639 - logits_profile_predictions_loss: 21.3428 - logcount_predictions_loss: 0.4211 26/41 [==================>...........] - ETA: 4s - loss: 21.7639 - logits_profile_predictions_loss: 21.3455 - logcount_predictions_loss: 0.4184 27/41 [==================>...........] - ETA: 4s - loss: 21.7253 - logits_profile_predictions_loss: 21.3097 - logcount_predictions_loss: 0.4156 28/41 [===================>..........] - ETA: 3s - loss: 21.6900 - logits_profile_predictions_loss: 21.2767 - logcount_predictions_loss: 0.4133 29/41 [====================>.........] - ETA: 3s - loss: 21.6773 - logits_profile_predictions_loss: 21.2659 - logcount_predictions_loss: 0.4113 30/41 [====================>.........] - ETA: 3s - loss: 21.6809 - logits_profile_predictions_loss: 21.2714 - logcount_predictions_loss: 0.4095 31/41 [=====================>........] - ETA: 3s - loss: 21.6962 - logits_profile_predictions_loss: 21.2870 - logcount_predictions_loss: 0.4092 32/41 [======================>.......] - ETA: 2s - loss: 21.6752 - logits_profile_predictions_loss: 21.2670 - logcount_predictions_loss: 0.4082 33/41 [=======================>......] - ETA: 2s - loss: 21.6736 - logits_profile_predictions_loss: 21.2651 - logcount_predictions_loss: 0.4085 34/41 [=======================>......] - ETA: 2s - loss: 21.6558 - logits_profile_predictions_loss: 21.2491 - logcount_predictions_loss: 0.4066 35/41 [========================>.....] - ETA: 1s - loss: 21.6455 - logits_profile_predictions_loss: 21.2393 - logcount_predictions_loss: 0.4062 36/41 [=========================>....] - ETA: 1s - loss: 21.6386 - logits_profile_predictions_loss: 21.2315 - logcount_predictions_loss: 0.4071 37/41 [==========================>...] - ETA: 1s - loss: 21.7104 - logits_profile_predictions_loss: 21.3006 - logcount_predictions_loss: 0.4098 38/41 [==========================>...] - ETA: 0s - loss: 21.7364 - logits_profile_predictions_loss: 21.3261 - logcount_predictions_loss: 0.4103 39/41 [===========================>..] - ETA: 0s - loss: 21.7539 - logits_profile_predictions_loss: 21.3434 - logcount_predictions_loss: 0.4104 40/41 [============================>.] - ETA: 0s - loss: 21.7101 - logits_profile_predictions_loss: 21.3012 - logcount_predictions_loss: 0.4089 41/41 [==============================] - ETA: 0s - loss: 21.6664 - logits_profile_predictions_loss: 21.2599 - logcount_predictions_loss: 0.4065 Epoch 11: val_loss did not improve from 23.81120  41/41 [==============================] - 13s 320ms/step - loss: 21.6664 - logits_profile_predictions_loss: 21.2599 - logcount_predictions_loss: 0.4065 - val_loss: 24.3162 - val_logits_profile_predictions_loss: 23.9060 - val_logcount_predictions_loss: 0.4102 Epoch 12/50 1/41 [..............................] - ETA: 12s - loss: 22.1781 - logits_profile_predictions_loss: 21.6835 - logcount_predictions_loss: 0.4946 2/41 [>.............................] - ETA: 11s - loss: 21.9550 - logits_profile_predictions_loss: 21.4899 - logcount_predictions_loss: 0.4651 3/41 [=>............................] - ETA: 11s - loss: 21.5693 - logits_profile_predictions_loss: 21.1406 - logcount_predictions_loss: 0.4288 4/41 [=>............................] - ETA: 11s - loss: 21.1367 - logits_profile_predictions_loss: 20.7296 - logcount_predictions_loss: 0.4071 5/41 [==>...........................] - ETA: 10s - loss: 21.0733 - logits_profile_predictions_loss: 20.6703 - logcount_predictions_loss: 0.4030 6/41 [===>..........................] - ETA: 10s - loss: 21.4737 - logits_profile_predictions_loss: 21.0491 - logcount_predictions_loss: 0.4246 7/41 [====>.........................] - ETA: 10s - loss: 21.2442 - logits_profile_predictions_loss: 20.8373 - logcount_predictions_loss: 0.4069 8/41 [====>.........................] - ETA: 10s - loss: 21.1368 - logits_profile_predictions_loss: 20.7391 - logcount_predictions_loss: 0.3976 9/41 [=====>........................] - ETA: 9s - loss: 21.1673 - logits_profile_predictions_loss: 20.7706 - logcount_predictions_loss: 0.3967  10/41 [======>.......................] - ETA: 9s - loss: 21.1735 - logits_profile_predictions_loss: 20.7750 - logcount_predictions_loss: 0.3985 11/41 [=======>......................] - ETA: 9s - loss: 21.1412 - logits_profile_predictions_loss: 20.7396 - logcount_predictions_loss: 0.4016 12/41 [=======>......................] - ETA: 8s - loss: 21.0362 - logits_profile_predictions_loss: 20.6397 - logcount_predictions_loss: 0.3966 13/41 [========>.....................] - ETA: 8s - loss: 21.1567 - logits_profile_predictions_loss: 20.7538 - logcount_predictions_loss: 0.4029 14/41 [=========>....................] - ETA: 8s - loss: 21.2175 - logits_profile_predictions_loss: 20.8112 - logcount_predictions_loss: 0.4063 15/41 [=========>....................] - ETA: 7s - loss: 21.2223 - logits_profile_predictions_loss: 20.8153 - logcount_predictions_loss: 0.4071 16/41 [==========>...................] - ETA: 7s - loss: 21.2956 - logits_profile_predictions_loss: 20.8904 - logcount_predictions_loss: 0.4053 17/41 [===========>..................] - ETA: 7s - loss: 21.3757 - logits_profile_predictions_loss: 20.9668 - logcount_predictions_loss: 0.4089 18/41 [============>.................] - ETA: 6s - loss: 21.3517 - logits_profile_predictions_loss: 20.9467 - logcount_predictions_loss: 0.4050 19/41 [============>.................] - ETA: 6s - loss: 21.5033 - logits_profile_predictions_loss: 21.0896 - logcount_predictions_loss: 0.4137 20/41 [=============>................] - ETA: 6s - loss: 21.4990 - logits_profile_predictions_loss: 21.0844 - logcount_predictions_loss: 0.4146 21/41 [==============>...............] - ETA: 6s - loss: 21.5102 - logits_profile_predictions_loss: 21.0976 - logcount_predictions_loss: 0.4126 22/41 [===============>..............] - ETA: 5s - loss: 21.5302 - logits_profile_predictions_loss: 21.1158 - logcount_predictions_loss: 0.4144 23/41 [===============>..............] - ETA: 5s - loss: 21.4584 - logits_profile_predictions_loss: 21.0488 - logcount_predictions_loss: 0.4096 24/41 [================>.............] - ETA: 5s - loss: 21.3941 - logits_profile_predictions_loss: 20.9864 - logcount_predictions_loss: 0.4077 25/41 [=================>............] - ETA: 4s - loss: 21.3921 - logits_profile_predictions_loss: 20.9844 - logcount_predictions_loss: 0.4077 26/41 [==================>...........] - ETA: 4s - loss: 21.4162 - logits_profile_predictions_loss: 21.0088 - logcount_predictions_loss: 0.4073 27/41 [==================>...........] - ETA: 4s - loss: 21.4384 - logits_profile_predictions_loss: 21.0315 - logcount_predictions_loss: 0.4070 28/41 [===================>..........] - ETA: 3s - loss: 21.3484 - logits_profile_predictions_loss: 20.9447 - logcount_predictions_loss: 0.4037 29/41 [====================>.........] - ETA: 3s - loss: 21.3589 - logits_profile_predictions_loss: 20.9557 - logcount_predictions_loss: 0.4032 30/41 [====================>.........] - ETA: 3s - loss: 21.3214 - logits_profile_predictions_loss: 20.9201 - logcount_predictions_loss: 0.4013 31/41 [=====================>........] - ETA: 3s - loss: 21.3269 - logits_profile_predictions_loss: 20.9262 - logcount_predictions_loss: 0.4006 32/41 [======================>.......] - ETA: 2s - loss: 21.3001 - logits_profile_predictions_loss: 20.9027 - logcount_predictions_loss: 0.3974 33/41 [=======================>......] - ETA: 2s - loss: 21.2874 - logits_profile_predictions_loss: 20.8915 - logcount_predictions_loss: 0.3959 34/41 [=======================>......] - ETA: 2s - loss: 21.3466 - logits_profile_predictions_loss: 20.9492 - logcount_predictions_loss: 0.3974 35/41 [========================>.....] - ETA: 1s - loss: 21.3508 - logits_profile_predictions_loss: 20.9534 - logcount_predictions_loss: 0.3974 36/41 [=========================>....] - ETA: 1s - loss: 21.3223 - logits_profile_predictions_loss: 20.9237 - logcount_predictions_loss: 0.3986 37/41 [==========================>...] - ETA: 1s - loss: 21.3603 - logits_profile_predictions_loss: 20.9608 - logcount_predictions_loss: 0.3995 38/41 [==========================>...] - ETA: 0s - loss: 21.3886 - logits_profile_predictions_loss: 20.9869 - logcount_predictions_loss: 0.4017 39/41 [===========================>..] - ETA: 0s - loss: 21.3848 - logits_profile_predictions_loss: 20.9832 - logcount_predictions_loss: 0.4016 40/41 [============================>.] - ETA: 0s - loss: 21.3149 - logits_profile_predictions_loss: 20.9167 - logcount_predictions_loss: 0.3982 41/41 [==============================] - ETA: 0s - loss: 21.3008 - logits_profile_predictions_loss: 20.9030 - logcount_predictions_loss: 0.3978 Epoch 12: val_loss did not improve from 23.81120 Restoring model weights from the end of the best epoch: 7.  41/41 [==============================] - 13s 321ms/step - loss: 21.3008 - logits_profile_predictions_loss: 20.9030 - logcount_predictions_loss: 0.3978 - val_loss: 24.0491 - val_logits_profile_predictions_loss: 23.6389 - val_logcount_predictions_loss: 0.4102 Epoch 12: early stopping save model save model without bias got the model loading peaks... got split:test for bed regions:(515, 10) 0/9 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 1/9 [==>...........................] - ETA: 1s 2/9 [=====>........................] - ETA: 0s 3/9 [=========>....................] - ETA: 0s 4/9 [============>.................] - ETA: 0s 5/9 [===============>..............] - ETA: 0s 6/9 [===================>..........] - ETA: 0s 7/9 [======================>.......] - ETA: 0s 8/9 [=========================>....] - ETA: 0s 9/9 [==============================] - ETA: 0s 9/9 [==============================] - 1s 102ms/step 1/9 [==>...........................] - ETA: 0s 2/9 [=====>........................] - ETA: 0s 3/9 [=========>....................] - ETA: 0s 4/9 [============>.................] - ETA: 0s 5/9 [===============>..............] - ETA: 0s 6/9 [===================>..........] - ETA: 0s 7/9 [======================>.......] - ETA: 0s 8/9 [=========================>....] - ETA: 0s 9/9 [==============================] - ETA: 0s 9/9 [==============================] - 1s 101ms/step inserting motif: tn5_1 GCACAGTACAGAGCTG 1/9 [==>...........................] - ETA: 0s 2/9 [=====>........................] - ETA: 0s 3/9 [=========>....................] - ETA: 0s 4/9 [============>.................] - ETA: 0s 5/9 [===============>..............] - ETA: 0s 6/9 [===================>..........] - ETA: 0s 7/9 [======================>.......] - ETA: 0s 8/9 [=========================>....] - ETA: 0s 9/9 [==============================] - ETA: 0s 9/9 [==============================] - 1s 101ms/step 1/9 [==>...........................] - ETA: 0s 2/9 [=====>........................] - ETA: 0s 3/9 [=========>....................] - ETA: 0s 4/9 [============>.................] - ETA: 0s 5/9 [===============>..............] - ETA: 0s 6/9 [===================>..........] - ETA: 0s 7/9 [======================>.......] - ETA: 0s 8/9 [=========================>....] - ETA: 0s 9/9 [==============================] - ETA: 0s 9/9 [==============================] - 1s 101ms/step inserting motif: tn5_2 GTGCACAGTTCTAGAGTGTGCAG 1/9 [==>...........................] - ETA: 0s 2/9 [=====>........................] - ETA: 0s 3/9 [=========>....................] - ETA: 0s 4/9 [============>.................] - ETA: 0s 5/9 [===============>..............] - ETA: 0s 6/9 [===================>..........] - ETA: 0s 7/9 [======================>.......] - ETA: 0s 8/9 [=========================>....] - ETA: 0s 9/9 [==============================] - ETA: 0s 9/9 [==============================] - 1s 101ms/step 1/9 [==>...........................] - ETA: 0s 2/9 [=====>........................] - ETA: 0s 3/9 [=========>....................] - ETA: 0s 4/9 [============>.................] - ETA: 0s 5/9 [===============>..............] - ETA: 0s 6/9 [===================>..........] - ETA: 0s 7/9 [======================>.......] - ETA: 0s 8/9 [=========================>....] - ETA: 0s 9/9 [==============================] - ETA: 0s 9/9 [==============================] - 1s 101ms/step inserting motif: tn5_3 CCTCTACACTGTGCAGAA 1/9 [==>...........................] - ETA: 0s 2/9 [=====>........................] - ETA: 0s 3/9 [=========>....................] - ETA: 0s 4/9 [============>.................] - ETA: 0s 5/9 [===============>..............] - ETA: 0s 6/9 [===================>..........] - ETA: 0s 7/9 [======================>.......] - ETA: 0s 8/9 [=========================>....] - ETA: 0s 9/9 [==============================] - ETA: 0s 9/9 [==============================] - 1s 101ms/step 1/9 [==>...........................] - ETA: 0s 2/9 [=====>........................] - ETA: 0s 3/9 [=========>....................] - ETA: 0s 4/9 [============>.................] - ETA: 0s 5/9 [===============>..............] - ETA: 0s 6/9 [===================>..........] - ETA: 0s 7/9 [======================>.......] - ETA: 0s 8/9 [=========================>....] - ETA: 0s 9/9 [==============================] - ETA: 0s 9/9 [==============================] - 1s 101ms/step inserting motif: tn5_4 GCACAGTTCTAGACTGTGCAG 1/9 [==>...........................] - ETA: 0s 2/9 [=====>........................] - ETA: 0s 3/9 [=========>....................] - ETA: 0s 4/9 [============>.................] - ETA: 0s 5/9 [===============>..............] - ETA: 0s 6/9 [===================>..........] - ETA: 0s 7/9 [======================>.......] - ETA: 0s 8/9 [=========================>....] - ETA: 0s 9/9 [==============================] - ETA: 0s 9/9 [==============================] - 1s 102ms/step 1/9 [==>...........................] - ETA: 0s 2/9 [=====>........................] - ETA: 0s 3/9 [=========>....................] - ETA: 0s 4/9 [============>.................] - ETA: 0s 5/9 [===============>..............] - ETA: 0s 6/9 [===================>..........] - ETA: 0s 7/9 [======================>.......] - ETA: 0s 8/9 [=========================>....] - ETA: 0s 9/9 [==============================] - ETA: 0s 9/9 [==============================] - 1s 102ms/step inserting motif: tn5_5 CTGCACAGTGTAGAGTTGTGC 1/9 [==>...........................] - ETA: 0s 2/9 [=====>........................] - ETA: 0s 3/9 [=========>....................] - ETA: 0s 4/9 [============>.................] - ETA: 0s 5/9 [===============>..............] - ETA: 0s 6/9 [===================>..........] - ETA: 0s 7/9 [======================>.......] - ETA: 0s 8/9 [=========================>....] - ETA: 0s 9/9 [==============================] - ETA: 0s 9/9 [==============================] - 1s 102ms/step 1/9 [==>...........................] - ETA: 0s 2/9 [=====>........................] - ETA: 0s 3/9 [=========>....................] - ETA: 0s 4/9 [============>.................] - ETA: 0s 5/9 [===============>..............] - ETA: 0s 6/9 [===================>..........] - ETA: 0s 7/9 [======================>.......] - ETA: 0s 8/9 [=========================>....] - ETA: 0s 9/9 [==============================] - ETA: 0s 9/9 [==============================] - 1s 102ms/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