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: 7445 evaluating hyperparameters on the following chromosomes ['chr1', 'chr2', 'chr3', 'chr4', 'chr7', 'chr8', 'chr9', 'chr11', 'chr12', 'chr13', 'chr15', 'chr16', 'chr17', 'chr19', 'chrX', 'chrY', 'chr6', 'chr21'] Number of peaks input: 2491 Number of peaks filtered because the input/output is on the edge: 0 Number of peaks being used: 2491 Number of peaks input: 634 Number of peaks filtered because the input/output is on the edge: 0 Number of peaks being used: 634 Number of non peaks input: 4982 Number of non peaks filtered because the input/output is on the edge: 0 Number of non peaks being used: 4982 Number of non peaks input: 634 Number of non peaks filtered because the input/output is on the edge: 0 Number of non peaks being used: 634 Number of peaks after removing outliers: 2489 Number of nonpeaks after removing outliers: 410 WARNING: you are training on low-read depth data got the model Model: "functional_1" __________________________________________________________________________________________________ Layer (type) Output Shape Param # Connected to ================================================================================================== sequence (InputLayer) [(None, 2114, 4)] 0 [] bpnet_1st_conv (Conv1D) (None, 2094, 128) 10880 ['sequence[0][0]'] bpnet_1conv (Conv1D) (None, 2090, 128) 49280 ['bpnet_1st_conv[0][0]'] bpnet_1crop (Cropping1D) (None, 2090, 128) 0 ['bpnet_1st_conv[0][0]'] add (Add) (None, 2090, 128) 0 ['bpnet_1conv[0][0]', 'bpnet_1crop[0][0]'] bpnet_2conv (Conv1D) (None, 2082, 128) 49280 ['add[0][0]'] bpnet_2crop (Cropping1D) (None, 2082, 128) 0 ['add[0][0]'] add_1 (Add) (None, 2082, 128) 0 ['bpnet_2conv[0][0]', 'bpnet_2crop[0][0]'] bpnet_3conv (Conv1D) (None, 2066, 128) 49280 ['add_1[0][0]'] bpnet_3crop (Cropping1D) (None, 2066, 128) 0 ['add_1[0][0]'] add_2 (Add) (None, 2066, 128) 0 ['bpnet_3conv[0][0]', 'bpnet_3crop[0][0]'] bpnet_4conv (Conv1D) (None, 2034, 128) 49280 ['add_2[0][0]'] bpnet_4crop (Cropping1D) (None, 2034, 128) 0 ['add_2[0][0]'] add_3 (Add) (None, 2034, 128) 0 ['bpnet_4conv[0][0]', 'bpnet_4crop[0][0]'] prof_out_precrop (Conv1D) (None, 1960, 1) 9601 ['add_3[0][0]'] logits_profile_predictions_pre (None, 1000, 1) 0 ['prof_out_precrop[0][0]'] flatten (Cropping1D) gap (GlobalAveragePooling1D) (None, 128) 0 ['add_3[0][0]'] logits_profile_predictions (Fl (None, 1000) 0 ['logits_profile_predictions_pref atten) latten[0][0]'] logcount_predictions (Dense) (None, 1) 129 ['gap[0][0]'] ================================================================================================== Total params: 217,730 Trainable params: 217,730 Non-trainable params: 0 __________________________________________________________________________________________________ Predicting within adjust counts 1/13 [=>............................] - ETA: 24s 9/13 [===================>..........] - ETA: 0s  13/13 [==============================] - ETA: 0s 13/13 [==============================] - 2s 11ms/step got the model loading peaks... got split:test for bed regions:(634, 10) 0/10 Bias model pearsonr performance in peaks is: -0.04 {'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_3/models/bias_model_scaled.h5', 'inputlen': '2114', 'outputlen': '1000', 'max_jitter': '500', 'chr_fold_path': '/oak/stanford/groups/akundaje/soumyak/refs/hg38/splits/fold_3.json', 'negative_sampling_ratio': '0.1'} got the model loading peaks... got split:train for bed regions:(2298, 10) loading nonpeaks... got split:train for bed regions:(389, 10) loading peaks... got split:valid for bed regions:(191, 10) loading nonpeaks... got split:valid for bed regions:(21, 10) Epoch 1/50 1/40 [..............................] - ETA: 2:58 - loss: 23.7510 - logits_profile_predictions_loss: 23.3225 - logcount_predictions_loss: 0.4285 2/40 [>.............................] - ETA: 11s - loss: 210.7287 - logits_profile_predictions_loss: 23.5081 - logcount_predictions_loss: 187.2206 3/40 [=>............................] - ETA: 10s - loss: 147.8611 - logits_profile_predictions_loss: 22.9369 - logcount_predictions_loss: 124.9243 4/40 [==>...........................] - ETA: 10s - loss: 116.6882 - logits_profile_predictions_loss: 22.8698 - logcount_predictions_loss: 93.8184  5/40 [==>...........................] - ETA: 10s - loss: 97.7548 - logits_profile_predictions_loss: 22.6276 - logcount_predictions_loss: 75.1272  6/40 [===>..........................] - ETA: 10s - loss: 85.1730 - logits_profile_predictions_loss: 22.4985 - logcount_predictions_loss: 62.6745 7/40 [====>.........................] - ETA: 16s - loss: 80.4732 - logits_profile_predictions_loss: 22.4552 - logcount_predictions_loss: 58.0180 8/40 [=====>........................] - ETA: 15s - loss: 72.6410 - logits_profile_predictions_loss: 22.3184 - logcount_predictions_loss: 50.3225 9/40 [=====>........................] - ETA: 14s - loss: 66.9736 - logits_profile_predictions_loss: 22.5217 - logcount_predictions_loss: 44.4519 10/40 [======>.......................] - ETA: 13s - loss: 62.3428 - logits_profile_predictions_loss: 22.5362 - logcount_predictions_loss: 39.8066 11/40 [=======>......................] - ETA: 12s - loss: 58.4389 - logits_profile_predictions_loss: 22.3963 - logcount_predictions_loss: 36.0426 12/40 [========>.....................] - ETA: 11s - loss: 55.4371 - logits_profile_predictions_loss: 22.4925 - logcount_predictions_loss: 32.9447 13/40 [========>.....................] - ETA: 10s - loss: 52.8776 - logits_profile_predictions_loss: 22.5352 - logcount_predictions_loss: 30.3424 14/40 [=========>....................] - ETA: 10s - loss: 50.7103 - logits_profile_predictions_loss: 22.5813 - logcount_predictions_loss: 28.1290 15/40 [==========>...................] - ETA: 9s - loss: 48.8394 - logits_profile_predictions_loss: 22.6180 - logcount_predictions_loss: 26.2213  16/40 [===========>..................] - ETA: 9s - loss: 47.2499 - logits_profile_predictions_loss: 22.6926 - logcount_predictions_loss: 24.5573 17/40 [===========>..................] - ETA: 8s - loss: 45.7502 - logits_profile_predictions_loss: 22.6559 - logcount_predictions_loss: 23.0943 18/40 [============>.................] - ETA: 8s - loss: 44.3848 - logits_profile_predictions_loss: 22.5931 - logcount_predictions_loss: 21.7917 19/40 [=============>................] - ETA: 7s - loss: 43.1784 - logits_profile_predictions_loss: 22.5444 - logcount_predictions_loss: 20.6340 20/40 [==============>...............] - ETA: 7s - loss: 42.0728 - logits_profile_predictions_loss: 22.4784 - logcount_predictions_loss: 19.5944 21/40 [==============>...............] - ETA: 6s - loss: 41.0924 - logits_profile_predictions_loss: 22.4347 - logcount_predictions_loss: 18.6577 22/40 [===============>..............] - ETA: 6s - loss: 40.1683 - logits_profile_predictions_loss: 22.3646 - logcount_predictions_loss: 17.8037 23/40 [================>.............] - ETA: 5s - loss: 39.4889 - logits_profile_predictions_loss: 22.4526 - logcount_predictions_loss: 17.0363 24/40 [=================>............] - ETA: 5s - loss: 38.7817 - logits_profile_predictions_loss: 22.4507 - logcount_predictions_loss: 16.3311 25/40 [=================>............] - ETA: 5s - loss: 38.1839 - logits_profile_predictions_loss: 22.5001 - logcount_predictions_loss: 15.6838 26/40 [==================>...........] - ETA: 4s - loss: 37.5430 - logits_profile_predictions_loss: 22.4595 - logcount_predictions_loss: 15.0835 27/40 [===================>..........] - ETA: 4s - loss: 37.0102 - logits_profile_predictions_loss: 22.4745 - logcount_predictions_loss: 14.5357 28/40 [====================>.........] - ETA: 4s - loss: 36.5356 - logits_profile_predictions_loss: 22.5106 - logcount_predictions_loss: 14.0251 29/40 [====================>.........] - ETA: 3s - loss: 36.0254 - logits_profile_predictions_loss: 22.4777 - logcount_predictions_loss: 13.5477 30/40 [=====================>........] - ETA: 3s - loss: 35.5228 - logits_profile_predictions_loss: 22.4198 - logcount_predictions_loss: 13.1030 31/40 [======================>.......] - ETA: 3s - loss: 35.0519 - logits_profile_predictions_loss: 22.3649 - logcount_predictions_loss: 12.6870 32/40 [=======================>......] - ETA: 2s - loss: 34.6362 - logits_profile_predictions_loss: 22.3400 - logcount_predictions_loss: 12.2962 33/40 [=======================>......] - ETA: 2s - loss: 34.2441 - logits_profile_predictions_loss: 22.3147 - logcount_predictions_loss: 11.9294 34/40 [========================>.....] - ETA: 2s - loss: 33.8618 - logits_profile_predictions_loss: 22.2779 - logcount_predictions_loss: 11.5839 35/40 [=========================>....] - ETA: 1s - loss: 33.5195 - logits_profile_predictions_loss: 22.2594 - logcount_predictions_loss: 11.2602 36/40 [==========================>...] - ETA: 1s - loss: 33.2399 - logits_profile_predictions_loss: 22.2850 - logcount_predictions_loss: 10.9548 37/40 [==========================>...] - ETA: 0s - loss: 32.9277 - logits_profile_predictions_loss: 22.2628 - logcount_predictions_loss: 10.6649 38/40 [===========================>..] - ETA: 0s - loss: 32.6999 - logits_profile_predictions_loss: 22.3053 - logcount_predictions_loss: 10.3947 39/40 [============================>.] - ETA: 0s - loss: 32.4155 - logits_profile_predictions_loss: 22.2822 - logcount_predictions_loss: 10.1333 40/40 [==============================] - ETA: 0s - loss: 32.2217 - logits_profile_predictions_loss: 22.3327 - logcount_predictions_loss: 9.8890 Epoch 1: val_loss improved from inf to 24.26402, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.adipocyte.In/fold_3/models/chrombpnet.h5  40/40 [==============================] - 19s 378ms/step - loss: 32.2217 - logits_profile_predictions_loss: 22.3327 - logcount_predictions_loss: 9.8890 - val_loss: 24.2640 - val_logits_profile_predictions_loss: 23.8157 - val_logcount_predictions_loss: 0.4483 Epoch 2/50 1/40 [..............................] - ETA: 12s - loss: 21.5521 - logits_profile_predictions_loss: 21.1989 - logcount_predictions_loss: 0.3532 2/40 [>.............................] - ETA: 11s - loss: 22.2563 - logits_profile_predictions_loss: 21.8468 - logcount_predictions_loss: 0.4095 3/40 [=>............................] - ETA: 10s - loss: 22.9590 - logits_profile_predictions_loss: 22.5168 - logcount_predictions_loss: 0.4422 4/40 [==>...........................] - ETA: 10s - loss: 23.2158 - logits_profile_predictions_loss: 22.7594 - logcount_predictions_loss: 0.4564 5/40 [==>...........................] - ETA: 10s - loss: 22.8591 - logits_profile_predictions_loss: 22.4232 - logcount_predictions_loss: 0.4359 6/40 [===>..........................] - ETA: 10s - loss: 22.7243 - logits_profile_predictions_loss: 22.2990 - logcount_predictions_loss: 0.4253 7/40 [====>.........................] - ETA: 9s - loss: 22.7025 - logits_profile_predictions_loss: 22.2744 - logcount_predictions_loss: 0.4281  8/40 [=====>........................] - ETA: 9s - loss: 22.8581 - logits_profile_predictions_loss: 22.4139 - logcount_predictions_loss: 0.4442 9/40 [=====>........................] - ETA: 8s - loss: 22.7712 - logits_profile_predictions_loss: 22.3325 - logcount_predictions_loss: 0.4387 10/40 [======>.......................] - ETA: 8s - loss: 22.8391 - logits_profile_predictions_loss: 22.4026 - logcount_predictions_loss: 0.4366 11/40 [=======>......................] - ETA: 8s - loss: 22.8849 - logits_profile_predictions_loss: 22.4443 - logcount_predictions_loss: 0.4406 12/40 [========>.....................] - ETA: 7s - loss: 23.1214 - logits_profile_predictions_loss: 22.6705 - logcount_predictions_loss: 0.4509 13/40 [========>.....................] - ETA: 7s - loss: 22.9775 - logits_profile_predictions_loss: 22.5287 - logcount_predictions_loss: 0.4489 14/40 [=========>....................] - ETA: 7s - loss: 22.8827 - logits_profile_predictions_loss: 22.4330 - logcount_predictions_loss: 0.4497 15/40 [==========>...................] - ETA: 7s - loss: 22.8189 - logits_profile_predictions_loss: 22.3719 - logcount_predictions_loss: 0.4470 16/40 [===========>..................] - ETA: 6s - loss: 22.6819 - logits_profile_predictions_loss: 22.2395 - logcount_predictions_loss: 0.4424 17/40 [===========>..................] - ETA: 6s - loss: 22.7761 - logits_profile_predictions_loss: 22.3281 - logcount_predictions_loss: 0.4480 18/40 [============>.................] - ETA: 6s - loss: 22.8128 - logits_profile_predictions_loss: 22.3620 - logcount_predictions_loss: 0.4508 19/40 [=============>................] - ETA: 6s - loss: 22.8053 - logits_profile_predictions_loss: 22.3565 - logcount_predictions_loss: 0.4488 20/40 [==============>...............] - ETA: 5s - loss: 22.7365 - logits_profile_predictions_loss: 22.2892 - logcount_predictions_loss: 0.4473 21/40 [==============>...............] - ETA: 5s - loss: 22.6564 - logits_profile_predictions_loss: 22.2161 - logcount_predictions_loss: 0.4404 22/40 [===============>..............] - ETA: 5s - loss: 22.6613 - logits_profile_predictions_loss: 22.2213 - logcount_predictions_loss: 0.4400 23/40 [================>.............] - ETA: 4s - loss: 22.7080 - logits_profile_predictions_loss: 22.2653 - logcount_predictions_loss: 0.4427 24/40 [=================>............] - ETA: 4s - loss: 22.7441 - logits_profile_predictions_loss: 22.3003 - logcount_predictions_loss: 0.4437 25/40 [=================>............] - ETA: 4s - loss: 22.8038 - logits_profile_predictions_loss: 22.3576 - logcount_predictions_loss: 0.4462 26/40 [==================>...........] - ETA: 4s - loss: 22.7625 - logits_profile_predictions_loss: 22.3185 - logcount_predictions_loss: 0.4440 27/40 [===================>..........] - ETA: 3s - loss: 22.7213 - logits_profile_predictions_loss: 22.2790 - logcount_predictions_loss: 0.4423 28/40 [====================>.........] - ETA: 3s - loss: 22.7332 - logits_profile_predictions_loss: 22.2921 - logcount_predictions_loss: 0.4411 29/40 [====================>.........] - ETA: 3s - loss: 22.7507 - logits_profile_predictions_loss: 22.3103 - logcount_predictions_loss: 0.4404 30/40 [=====================>........] - ETA: 2s - loss: 22.7595 - logits_profile_predictions_loss: 22.3169 - logcount_predictions_loss: 0.4426 31/40 [======================>.......] - ETA: 2s - loss: 22.7644 - logits_profile_predictions_loss: 22.3216 - logcount_predictions_loss: 0.4428 32/40 [=======================>......] - ETA: 2s - loss: 22.7886 - logits_profile_predictions_loss: 22.3449 - logcount_predictions_loss: 0.4437 33/40 [=======================>......] - ETA: 2s - loss: 22.7218 - logits_profile_predictions_loss: 22.2807 - logcount_predictions_loss: 0.4412 34/40 [========================>.....] - ETA: 1s - loss: 22.7261 - logits_profile_predictions_loss: 22.2853 - logcount_predictions_loss: 0.4407 35/40 [=========================>....] - ETA: 1s - loss: 22.7350 - logits_profile_predictions_loss: 22.2928 - logcount_predictions_loss: 0.4421 36/40 [==========================>...] - ETA: 1s - loss: 22.7766 - logits_profile_predictions_loss: 22.3342 - logcount_predictions_loss: 0.4424 37/40 [==========================>...] - ETA: 0s - loss: 22.7918 - logits_profile_predictions_loss: 22.3491 - logcount_predictions_loss: 0.4427 38/40 [===========================>..] - ETA: 0s - loss: 22.7781 - logits_profile_predictions_loss: 22.3344 - logcount_predictions_loss: 0.4436 39/40 [============================>.] - ETA: 0s - loss: 22.7863 - logits_profile_predictions_loss: 22.3434 - logcount_predictions_loss: 0.4429 40/40 [==============================] - ETA: 0s - loss: 22.7772 - logits_profile_predictions_loss: 22.3343 - logcount_predictions_loss: 0.4428 Epoch 2: val_loss improved from 24.26402 to 24.16303, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.adipocyte.In/fold_3/models/chrombpnet.h5  40/40 [==============================] - 13s 317ms/step - loss: 22.7772 - logits_profile_predictions_loss: 22.3343 - logcount_predictions_loss: 0.4428 - val_loss: 24.1630 - val_logits_profile_predictions_loss: 23.7147 - val_logcount_predictions_loss: 0.4483 Epoch 3/50 1/40 [..............................] - ETA: 12s - loss: 20.8802 - logits_profile_predictions_loss: 20.5264 - logcount_predictions_loss: 0.3538 2/40 [>.............................] - ETA: 11s - loss: 21.4465 - logits_profile_predictions_loss: 21.0494 - logcount_predictions_loss: 0.3972 3/40 [=>............................] - ETA: 10s - loss: 22.0817 - logits_profile_predictions_loss: 21.6672 - logcount_predictions_loss: 0.4144 4/40 [==>...........................] - ETA: 10s - loss: 22.4390 - logits_profile_predictions_loss: 22.0204 - logcount_predictions_loss: 0.4187 5/40 [==>...........................] - ETA: 10s - loss: 22.5403 - logits_profile_predictions_loss: 22.1155 - logcount_predictions_loss: 0.4248 6/40 [===>..........................] - ETA: 10s - loss: 22.9304 - logits_profile_predictions_loss: 22.4935 - logcount_predictions_loss: 0.4368 7/40 [====>.........................] - ETA: 9s - loss: 22.6146 - logits_profile_predictions_loss: 22.1880 - logcount_predictions_loss: 0.4266  8/40 [=====>........................] - ETA: 9s - loss: 22.6520 - logits_profile_predictions_loss: 22.2274 - logcount_predictions_loss: 0.4245 9/40 [=====>........................] - ETA: 9s - loss: 22.5070 - logits_profile_predictions_loss: 22.0890 - logcount_predictions_loss: 0.4181 10/40 [======>.......................] - ETA: 8s - loss: 22.3619 - logits_profile_predictions_loss: 21.9466 - logcount_predictions_loss: 0.4153 11/40 [=======>......................] - ETA: 8s - loss: 22.3171 - logits_profile_predictions_loss: 21.8944 - logcount_predictions_loss: 0.4227 12/40 [========>.....................] - ETA: 8s - loss: 22.3335 - logits_profile_predictions_loss: 21.9098 - logcount_predictions_loss: 0.4237 13/40 [========>.....................] - ETA: 7s - loss: 22.2804 - logits_profile_predictions_loss: 21.8545 - logcount_predictions_loss: 0.4259 14/40 [=========>....................] - ETA: 7s - loss: 22.3211 - logits_profile_predictions_loss: 21.8919 - logcount_predictions_loss: 0.4292 15/40 [==========>...................] - ETA: 7s - loss: 22.3363 - logits_profile_predictions_loss: 21.9061 - logcount_predictions_loss: 0.4302 16/40 [===========>..................] - ETA: 7s - loss: 22.3624 - logits_profile_predictions_loss: 21.9323 - logcount_predictions_loss: 0.4301 17/40 [===========>..................] - ETA: 6s - loss: 22.3192 - logits_profile_predictions_loss: 21.8919 - logcount_predictions_loss: 0.4273 18/40 [============>.................] - ETA: 6s - loss: 22.2458 - logits_profile_predictions_loss: 21.8211 - logcount_predictions_loss: 0.4247 19/40 [=============>................] - ETA: 6s - loss: 22.2881 - logits_profile_predictions_loss: 21.8616 - logcount_predictions_loss: 0.4265 20/40 [==============>...............] - ETA: 5s - loss: 22.5001 - logits_profile_predictions_loss: 22.0658 - logcount_predictions_loss: 0.4343 21/40 [==============>...............] - ETA: 5s - loss: 22.4901 - logits_profile_predictions_loss: 22.0557 - logcount_predictions_loss: 0.4344 22/40 [===============>..............] - ETA: 5s - loss: 22.4960 - logits_profile_predictions_loss: 22.0616 - logcount_predictions_loss: 0.4344 23/40 [================>.............] - ETA: 5s - loss: 22.5577 - logits_profile_predictions_loss: 22.1221 - logcount_predictions_loss: 0.4356 24/40 [=================>............] - ETA: 4s - loss: 22.5301 - logits_profile_predictions_loss: 22.0955 - logcount_predictions_loss: 0.4346 25/40 [=================>............] - ETA: 4s - loss: 22.5939 - logits_profile_predictions_loss: 22.1576 - logcount_predictions_loss: 0.4363 26/40 [==================>...........] - ETA: 4s - loss: 22.6263 - logits_profile_predictions_loss: 22.1874 - logcount_predictions_loss: 0.4389 27/40 [===================>..........] - ETA: 3s - loss: 22.6304 - logits_profile_predictions_loss: 22.1927 - logcount_predictions_loss: 0.4377 28/40 [====================>.........] - ETA: 3s - loss: 22.6478 - logits_profile_predictions_loss: 22.2094 - logcount_predictions_loss: 0.4384 29/40 [====================>.........] - ETA: 3s - loss: 22.6589 - logits_profile_predictions_loss: 22.2189 - logcount_predictions_loss: 0.4401 30/40 [=====================>........] - ETA: 2s - loss: 22.5739 - logits_profile_predictions_loss: 22.1381 - logcount_predictions_loss: 0.4359 31/40 [======================>.......] - ETA: 2s - loss: 22.5573 - logits_profile_predictions_loss: 22.1222 - logcount_predictions_loss: 0.4351 32/40 [=======================>......] - ETA: 2s - loss: 22.5473 - logits_profile_predictions_loss: 22.1125 - logcount_predictions_loss: 0.4348 33/40 [=======================>......] - ETA: 2s - loss: 22.5256 - logits_profile_predictions_loss: 22.0915 - logcount_predictions_loss: 0.4341 34/40 [========================>.....] - ETA: 1s - loss: 22.5412 - logits_profile_predictions_loss: 22.1077 - logcount_predictions_loss: 0.4335 35/40 [=========================>....] - ETA: 1s - loss: 22.5822 - logits_profile_predictions_loss: 22.1478 - logcount_predictions_loss: 0.4343 36/40 [==========================>...] - ETA: 1s - loss: 22.5573 - logits_profile_predictions_loss: 22.1231 - logcount_predictions_loss: 0.4342 37/40 [==========================>...] - ETA: 0s - loss: 22.5715 - logits_profile_predictions_loss: 22.1368 - logcount_predictions_loss: 0.4347 38/40 [===========================>..] - ETA: 0s - loss: 22.5479 - logits_profile_predictions_loss: 22.1129 - logcount_predictions_loss: 0.4351 39/40 [============================>.] - ETA: 0s - loss: 22.4881 - logits_profile_predictions_loss: 22.0548 - logcount_predictions_loss: 0.4333 40/40 [==============================] - ETA: 0s - loss: 22.5187 - logits_profile_predictions_loss: 22.0845 - logcount_predictions_loss: 0.4342 Epoch 3: val_loss improved from 24.16303 to 24.14152, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.adipocyte.In/fold_3/models/chrombpnet.h5  40/40 [==============================] - 13s 316ms/step - loss: 22.5187 - logits_profile_predictions_loss: 22.0845 - logcount_predictions_loss: 0.4342 - val_loss: 24.1415 - val_logits_profile_predictions_loss: 23.6932 - val_logcount_predictions_loss: 0.4483 Epoch 4/50 1/40 [..............................] - ETA: 11s - loss: 22.3016 - logits_profile_predictions_loss: 21.8389 - logcount_predictions_loss: 0.4627 2/40 [>.............................] - ETA: 11s - loss: 23.0933 - logits_profile_predictions_loss: 22.6104 - logcount_predictions_loss: 0.4829 3/40 [=>............................] - ETA: 10s - loss: 22.8485 - logits_profile_predictions_loss: 22.3773 - logcount_predictions_loss: 0.4713 4/40 [==>...........................] - ETA: 10s - loss: 22.6731 - logits_profile_predictions_loss: 22.2164 - logcount_predictions_loss: 0.4566 5/40 [==>...........................] - ETA: 10s - loss: 22.4872 - logits_profile_predictions_loss: 22.0366 - logcount_predictions_loss: 0.4506 6/40 [===>..........................] - ETA: 10s - loss: 22.5764 - logits_profile_predictions_loss: 22.1239 - logcount_predictions_loss: 0.4525 7/40 [====>.........................] - ETA: 9s - loss: 22.5141 - logits_profile_predictions_loss: 22.0589 - logcount_predictions_loss: 0.4552  8/40 [=====>........................] - ETA: 9s - loss: 22.6074 - logits_profile_predictions_loss: 22.1527 - logcount_predictions_loss: 0.4547 9/40 [=====>........................] - ETA: 9s - loss: 22.6965 - logits_profile_predictions_loss: 22.2456 - logcount_predictions_loss: 0.4510 10/40 [======>.......................] - ETA: 8s - loss: 22.8827 - logits_profile_predictions_loss: 22.4202 - logcount_predictions_loss: 0.4625 11/40 [=======>......................] - ETA: 8s - loss: 22.8159 - logits_profile_predictions_loss: 22.3567 - logcount_predictions_loss: 0.4592 12/40 [========>.....................] - ETA: 8s - loss: 22.7314 - logits_profile_predictions_loss: 22.2750 - logcount_predictions_loss: 0.4564 13/40 [========>.....................] - ETA: 7s - loss: 22.6555 - logits_profile_predictions_loss: 22.2051 - logcount_predictions_loss: 0.4504 14/40 [=========>....................] - ETA: 7s - loss: 22.4918 - logits_profile_predictions_loss: 22.0505 - logcount_predictions_loss: 0.4413 15/40 [==========>...................] - ETA: 7s - loss: 22.4573 - logits_profile_predictions_loss: 22.0243 - logcount_predictions_loss: 0.4330 16/40 [===========>..................] - ETA: 7s - loss: 22.4371 - logits_profile_predictions_loss: 22.0038 - logcount_predictions_loss: 0.4334 17/40 [===========>..................] - ETA: 6s - loss: 22.5759 - logits_profile_predictions_loss: 22.1379 - logcount_predictions_loss: 0.4380 18/40 [============>.................] - ETA: 6s - loss: 22.7479 - logits_profile_predictions_loss: 22.3042 - logcount_predictions_loss: 0.4437 19/40 [=============>................] - ETA: 6s - loss: 22.6983 - logits_profile_predictions_loss: 22.2536 - logcount_predictions_loss: 0.4447 20/40 [==============>...............] - ETA: 5s - loss: 22.6609 - logits_profile_predictions_loss: 22.2208 - logcount_predictions_loss: 0.4401 21/40 [==============>...............] - ETA: 5s - loss: 22.6819 - logits_profile_predictions_loss: 22.2386 - logcount_predictions_loss: 0.4434 22/40 [===============>..............] - ETA: 5s - loss: 22.6265 - logits_profile_predictions_loss: 22.1843 - logcount_predictions_loss: 0.4423 23/40 [================>.............] - ETA: 4s - loss: 22.6158 - logits_profile_predictions_loss: 22.1714 - logcount_predictions_loss: 0.4444 24/40 [=================>............] - ETA: 4s - loss: 22.5996 - logits_profile_predictions_loss: 22.1550 - logcount_predictions_loss: 0.4446 25/40 [=================>............] - ETA: 4s - loss: 22.6000 - logits_profile_predictions_loss: 22.1578 - logcount_predictions_loss: 0.4422 26/40 [==================>...........] - ETA: 4s - loss: 22.5986 - logits_profile_predictions_loss: 22.1531 - logcount_predictions_loss: 0.4456 27/40 [===================>..........] - ETA: 3s - loss: 22.5393 - logits_profile_predictions_loss: 22.0963 - logcount_predictions_loss: 0.4430 28/40 [====================>.........] - ETA: 3s - loss: 22.5546 - logits_profile_predictions_loss: 22.1097 - logcount_predictions_loss: 0.4450 29/40 [====================>.........] - ETA: 3s - loss: 22.5146 - logits_profile_predictions_loss: 22.0726 - logcount_predictions_loss: 0.4420 30/40 [=====================>........] - ETA: 2s - loss: 22.5331 - logits_profile_predictions_loss: 22.0894 - logcount_predictions_loss: 0.4436 31/40 [======================>.......] - ETA: 2s - loss: 22.4784 - logits_profile_predictions_loss: 22.0361 - logcount_predictions_loss: 0.4423 32/40 [=======================>......] - ETA: 2s - loss: 22.5190 - logits_profile_predictions_loss: 22.0734 - logcount_predictions_loss: 0.4456 33/40 [=======================>......] - ETA: 2s - loss: 22.5247 - logits_profile_predictions_loss: 22.0802 - logcount_predictions_loss: 0.4445 34/40 [========================>.....] - ETA: 1s - loss: 22.4531 - logits_profile_predictions_loss: 22.0118 - logcount_predictions_loss: 0.4413 35/40 [=========================>....] - ETA: 1s - loss: 22.4994 - logits_profile_predictions_loss: 22.0575 - logcount_predictions_loss: 0.4418 36/40 [==========================>...] - ETA: 1s - loss: 22.4719 - logits_profile_predictions_loss: 22.0330 - logcount_predictions_loss: 0.4389 37/40 [==========================>...] - ETA: 0s - loss: 22.4872 - logits_profile_predictions_loss: 22.0453 - logcount_predictions_loss: 0.4419 38/40 [===========================>..] - ETA: 0s - loss: 22.4284 - logits_profile_predictions_loss: 21.9892 - logcount_predictions_loss: 0.4392 39/40 [============================>.] - ETA: 0s - loss: 22.4432 - logits_profile_predictions_loss: 22.0029 - logcount_predictions_loss: 0.4402 40/40 [==============================] - ETA: 0s - loss: 22.4420 - logits_profile_predictions_loss: 22.0008 - logcount_predictions_loss: 0.4413 Epoch 4: val_loss improved from 24.14152 to 24.09160, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.adipocyte.In/fold_3/models/chrombpnet.h5  40/40 [==============================] - 13s 316ms/step - loss: 22.4420 - logits_profile_predictions_loss: 22.0008 - logcount_predictions_loss: 0.4413 - val_loss: 24.0916 - val_logits_profile_predictions_loss: 23.6433 - val_logcount_predictions_loss: 0.4483 Epoch 5/50 1/40 [..............................] - ETA: 13s - loss: 24.7499 - logits_profile_predictions_loss: 24.2130 - logcount_predictions_loss: 0.5368 2/40 [>.............................] - ETA: 11s - loss: 22.6092 - logits_profile_predictions_loss: 22.1660 - logcount_predictions_loss: 0.4432 3/40 [=>............................] - ETA: 10s - loss: 21.8369 - logits_profile_predictions_loss: 21.4240 - logcount_predictions_loss: 0.4129 4/40 [==>...........................] - ETA: 10s - loss: 22.1828 - logits_profile_predictions_loss: 21.7448 - logcount_predictions_loss: 0.4380 5/40 [==>...........................] - ETA: 10s - loss: 22.3689 - logits_profile_predictions_loss: 21.9226 - logcount_predictions_loss: 0.4463 6/40 [===>..........................] - ETA: 10s - loss: 22.6386 - logits_profile_predictions_loss: 22.1731 - logcount_predictions_loss: 0.4654 7/40 [====>.........................] - ETA: 9s - loss: 22.4575 - logits_profile_predictions_loss: 22.0067 - logcount_predictions_loss: 0.4508  8/40 [=====>........................] - ETA: 9s - loss: 22.4204 - logits_profile_predictions_loss: 21.9786 - logcount_predictions_loss: 0.4418 9/40 [=====>........................] - ETA: 9s - loss: 22.5036 - logits_profile_predictions_loss: 22.0564 - logcount_predictions_loss: 0.4472 10/40 [======>.......................] - ETA: 8s - loss: 22.4490 - logits_profile_predictions_loss: 22.0112 - logcount_predictions_loss: 0.4378 11/40 [=======>......................] - ETA: 8s - loss: 22.3472 - logits_profile_predictions_loss: 21.9104 - logcount_predictions_loss: 0.4368 12/40 [========>.....................] - ETA: 8s - loss: 22.1844 - logits_profile_predictions_loss: 21.7550 - logcount_predictions_loss: 0.4294 13/40 [========>.....................] - ETA: 7s - loss: 22.3708 - logits_profile_predictions_loss: 21.9297 - logcount_predictions_loss: 0.4411 14/40 [=========>....................] - ETA: 7s - loss: 22.3132 - logits_profile_predictions_loss: 21.8788 - logcount_predictions_loss: 0.4344 15/40 [==========>...................] - ETA: 7s - loss: 22.2095 - logits_profile_predictions_loss: 21.7787 - logcount_predictions_loss: 0.4309 16/40 [===========>..................] - ETA: 7s - loss: 22.0907 - logits_profile_predictions_loss: 21.6678 - logcount_predictions_loss: 0.4229 17/40 [===========>..................] - ETA: 6s - loss: 22.1648 - logits_profile_predictions_loss: 21.7381 - logcount_predictions_loss: 0.4267 18/40 [============>.................] - ETA: 6s - loss: 22.1516 - logits_profile_predictions_loss: 21.7251 - logcount_predictions_loss: 0.4266 19/40 [=============>................] - ETA: 6s - loss: 22.2403 - logits_profile_predictions_loss: 21.8100 - logcount_predictions_loss: 0.4304 20/40 [==============>...............] - ETA: 5s - loss: 22.2167 - logits_profile_predictions_loss: 21.7867 - logcount_predictions_loss: 0.4300 21/40 [==============>...............] - ETA: 5s - loss: 22.3368 - logits_profile_predictions_loss: 21.9024 - logcount_predictions_loss: 0.4344 22/40 [===============>..............] - ETA: 5s - loss: 22.3064 - logits_profile_predictions_loss: 21.8725 - logcount_predictions_loss: 0.4339 23/40 [================>.............] - ETA: 5s - loss: 22.3079 - logits_profile_predictions_loss: 21.8745 - logcount_predictions_loss: 0.4335 24/40 [=================>............] - ETA: 4s - loss: 22.3296 - logits_profile_predictions_loss: 21.8974 - logcount_predictions_loss: 0.4322 25/40 [=================>............] - ETA: 4s - loss: 22.2825 - logits_profile_predictions_loss: 21.8525 - logcount_predictions_loss: 0.4300 26/40 [==================>...........] - ETA: 4s - loss: 22.3287 - logits_profile_predictions_loss: 21.8975 - logcount_predictions_loss: 0.4313 27/40 [===================>..........] - ETA: 3s - loss: 22.3277 - logits_profile_predictions_loss: 21.8969 - logcount_predictions_loss: 0.4307 28/40 [====================>.........] - ETA: 3s - loss: 22.3141 - logits_profile_predictions_loss: 21.8849 - logcount_predictions_loss: 0.4292 29/40 [====================>.........] - ETA: 3s - loss: 22.3218 - logits_profile_predictions_loss: 21.8928 - logcount_predictions_loss: 0.4290 30/40 [=====================>........] - ETA: 2s - loss: 22.3023 - logits_profile_predictions_loss: 21.8761 - logcount_predictions_loss: 0.4262 31/40 [======================>.......] - ETA: 2s - loss: 22.2419 - logits_profile_predictions_loss: 21.8190 - logcount_predictions_loss: 0.4229 32/40 [=======================>......] - ETA: 2s - loss: 22.2546 - logits_profile_predictions_loss: 21.8307 - logcount_predictions_loss: 0.4239 33/40 [=======================>......] - ETA: 2s - loss: 22.2669 - logits_profile_predictions_loss: 21.8413 - logcount_predictions_loss: 0.4256 34/40 [========================>.....] - ETA: 1s - loss: 22.3235 - logits_profile_predictions_loss: 21.8898 - logcount_predictions_loss: 0.4337 35/40 [=========================>....] - ETA: 1s - loss: 22.3422 - logits_profile_predictions_loss: 21.9090 - logcount_predictions_loss: 0.4332 36/40 [==========================>...] - ETA: 1s - loss: 22.3516 - logits_profile_predictions_loss: 21.9167 - logcount_predictions_loss: 0.4350 37/40 [==========================>...] - ETA: 0s - loss: 22.3143 - logits_profile_predictions_loss: 21.8795 - logcount_predictions_loss: 0.4348 38/40 [===========================>..] - ETA: 0s - loss: 22.3186 - logits_profile_predictions_loss: 21.8853 - logcount_predictions_loss: 0.4333 39/40 [============================>.] - ETA: 0s - loss: 22.3235 - logits_profile_predictions_loss: 21.8889 - logcount_predictions_loss: 0.4346 40/40 [==============================] - ETA: 0s - loss: 22.2830 - logits_profile_predictions_loss: 21.8503 - logcount_predictions_loss: 0.4328 Epoch 5: val_loss did not improve from 24.09160  40/40 [==============================] - 12s 308ms/step - loss: 22.2830 - logits_profile_predictions_loss: 21.8503 - logcount_predictions_loss: 0.4328 - val_loss: 24.0978 - val_logits_profile_predictions_loss: 23.6495 - val_logcount_predictions_loss: 0.4483 Epoch 6/50 1/40 [..............................] - ETA: 6s - loss: 22.4833 - logits_profile_predictions_loss: 22.0696 - logcount_predictions_loss: 0.4136 2/40 [>.............................] - ETA: 11s - loss: 22.7974 - logits_profile_predictions_loss: 22.3761 - logcount_predictions_loss: 0.4214 3/40 [=>............................] - ETA: 10s - loss: 22.7452 - logits_profile_predictions_loss: 22.3091 - logcount_predictions_loss: 0.4361 4/40 [==>...........................] - ETA: 10s - loss: 22.4932 - logits_profile_predictions_loss: 22.0580 - logcount_predictions_loss: 0.4352 5/40 [==>...........................] - ETA: 10s - loss: 22.3452 - logits_profile_predictions_loss: 21.9092 - logcount_predictions_loss: 0.4360 6/40 [===>..........................] - ETA: 10s - loss: 22.5367 - logits_profile_predictions_loss: 22.0869 - logcount_predictions_loss: 0.4498 7/40 [====>.........................] - ETA: 9s - loss: 22.2807 - logits_profile_predictions_loss: 21.8450 - logcount_predictions_loss: 0.4357  8/40 [=====>........................] - ETA: 9s - loss: 22.2142 - logits_profile_predictions_loss: 21.7789 - logcount_predictions_loss: 0.4353 9/40 [=====>........................] - ETA: 9s - loss: 22.2705 - logits_profile_predictions_loss: 21.8382 - logcount_predictions_loss: 0.4323 10/40 [======>.......................] - ETA: 8s - loss: 22.1587 - logits_profile_predictions_loss: 21.7302 - logcount_predictions_loss: 0.4285 11/40 [=======>......................] - ETA: 8s - loss: 22.2370 - logits_profile_predictions_loss: 21.8041 - logcount_predictions_loss: 0.4329 12/40 [========>.....................] - ETA: 8s - loss: 22.1514 - logits_profile_predictions_loss: 21.7214 - logcount_predictions_loss: 0.4300 13/40 [========>.....................] - ETA: 7s - loss: 22.3492 - logits_profile_predictions_loss: 21.9098 - logcount_predictions_loss: 0.4394 14/40 [=========>....................] - ETA: 7s - loss: 22.3747 - logits_profile_predictions_loss: 21.9356 - logcount_predictions_loss: 0.4391 15/40 [==========>...................] - ETA: 7s - loss: 22.3819 - logits_profile_predictions_loss: 21.9458 - logcount_predictions_loss: 0.4362 16/40 [===========>..................] - ETA: 7s - loss: 22.2673 - logits_profile_predictions_loss: 21.8316 - logcount_predictions_loss: 0.4357 17/40 [===========>..................] - ETA: 6s - loss: 22.1328 - logits_profile_predictions_loss: 21.7040 - logcount_predictions_loss: 0.4287 18/40 [============>.................] - ETA: 6s - loss: 22.1619 - logits_profile_predictions_loss: 21.7302 - logcount_predictions_loss: 0.4317 19/40 [=============>................] - ETA: 6s - loss: 22.1635 - logits_profile_predictions_loss: 21.7320 - logcount_predictions_loss: 0.4314 20/40 [==============>...............] - ETA: 5s - loss: 22.1882 - logits_profile_predictions_loss: 21.7551 - logcount_predictions_loss: 0.4331 21/40 [==============>...............] - ETA: 5s - loss: 22.1425 - logits_profile_predictions_loss: 21.7118 - logcount_predictions_loss: 0.4307 22/40 [===============>..............] - ETA: 5s - loss: 22.1849 - logits_profile_predictions_loss: 21.7527 - logcount_predictions_loss: 0.4322 23/40 [================>.............] - ETA: 5s - loss: 22.1831 - logits_profile_predictions_loss: 21.7516 - logcount_predictions_loss: 0.4316 24/40 [=================>............] - ETA: 4s - loss: 22.2035 - logits_profile_predictions_loss: 21.7743 - logcount_predictions_loss: 0.4292 25/40 [=================>............] - ETA: 4s - loss: 22.2142 - logits_profile_predictions_loss: 21.7849 - logcount_predictions_loss: 0.4293 26/40 [==================>...........] - ETA: 4s - loss: 22.1952 - logits_profile_predictions_loss: 21.7684 - logcount_predictions_loss: 0.4268 27/40 [===================>..........] - ETA: 3s - loss: 22.1541 - logits_profile_predictions_loss: 21.7305 - logcount_predictions_loss: 0.4236 28/40 [====================>.........] - ETA: 3s - loss: 22.1842 - logits_profile_predictions_loss: 21.7580 - logcount_predictions_loss: 0.4262 29/40 [====================>.........] - ETA: 3s - loss: 22.2523 - logits_profile_predictions_loss: 21.8220 - logcount_predictions_loss: 0.4303 30/40 [=====================>........] - ETA: 2s - loss: 22.2270 - logits_profile_predictions_loss: 21.7983 - logcount_predictions_loss: 0.4287 31/40 [======================>.......] - ETA: 2s - loss: 22.3202 - logits_profile_predictions_loss: 21.8856 - logcount_predictions_loss: 0.4347 32/40 [=======================>......] - ETA: 2s - loss: 22.3385 - logits_profile_predictions_loss: 21.9016 - logcount_predictions_loss: 0.4369 33/40 [=======================>......] - ETA: 2s - loss: 22.2863 - logits_profile_predictions_loss: 21.8517 - logcount_predictions_loss: 0.4346 34/40 [========================>.....] - ETA: 1s - loss: 22.2400 - logits_profile_predictions_loss: 21.8084 - logcount_predictions_loss: 0.4316 35/40 [=========================>....] - ETA: 1s - loss: 22.2177 - logits_profile_predictions_loss: 21.7874 - logcount_predictions_loss: 0.4303 36/40 [==========================>...] - ETA: 1s - loss: 22.1975 - logits_profile_predictions_loss: 21.7668 - logcount_predictions_loss: 0.4307 37/40 [==========================>...] - ETA: 0s - loss: 22.2147 - logits_profile_predictions_loss: 21.7805 - logcount_predictions_loss: 0.4342 38/40 [===========================>..] - ETA: 0s - loss: 22.2655 - logits_profile_predictions_loss: 21.8289 - logcount_predictions_loss: 0.4366 39/40 [============================>.] - ETA: 0s - loss: 22.2810 - logits_profile_predictions_loss: 21.8433 - logcount_predictions_loss: 0.4377 40/40 [==============================] - ETA: 0s - loss: 22.2903 - logits_profile_predictions_loss: 21.8531 - logcount_predictions_loss: 0.4372 Epoch 6: val_loss improved from 24.09160 to 24.07617, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.adipocyte.In/fold_3/models/chrombpnet.h5  40/40 [==============================] - 13s 321ms/step - loss: 22.2903 - logits_profile_predictions_loss: 21.8531 - logcount_predictions_loss: 0.4372 - val_loss: 24.0762 - val_logits_profile_predictions_loss: 23.6279 - val_logcount_predictions_loss: 0.4483 Epoch 7/50 1/40 [..............................] - ETA: 12s - loss: 21.3886 - logits_profile_predictions_loss: 21.0385 - logcount_predictions_loss: 0.3501 2/40 [>.............................] - ETA: 11s - loss: 22.0647 - logits_profile_predictions_loss: 21.6486 - logcount_predictions_loss: 0.4161 3/40 [=>............................] - ETA: 10s - loss: 22.3434 - logits_profile_predictions_loss: 21.9054 - logcount_predictions_loss: 0.4380 4/40 [==>...........................] - ETA: 10s - loss: 21.7945 - logits_profile_predictions_loss: 21.3736 - logcount_predictions_loss: 0.4208 5/40 [==>...........................] - ETA: 10s - loss: 21.9200 - logits_profile_predictions_loss: 21.4858 - logcount_predictions_loss: 0.4343 6/40 [===>..........................] - ETA: 10s - loss: 21.8999 - logits_profile_predictions_loss: 21.4701 - logcount_predictions_loss: 0.4298 7/40 [====>.........................] - ETA: 9s - loss: 21.8641 - logits_profile_predictions_loss: 21.4453 - logcount_predictions_loss: 0.4189  8/40 [=====>........................] - ETA: 9s - loss: 21.9807 - logits_profile_predictions_loss: 21.5584 - logcount_predictions_loss: 0.4223 9/40 [=====>........................] - ETA: 9s - loss: 21.9591 - logits_profile_predictions_loss: 21.5400 - logcount_predictions_loss: 0.4192 10/40 [======>.......................] - ETA: 8s - loss: 22.0737 - logits_profile_predictions_loss: 21.6531 - logcount_predictions_loss: 0.4206 11/40 [=======>......................] - ETA: 8s - loss: 22.0463 - logits_profile_predictions_loss: 21.6241 - logcount_predictions_loss: 0.4222 12/40 [========>.....................] - ETA: 7s - loss: 22.0881 - logits_profile_predictions_loss: 21.6665 - logcount_predictions_loss: 0.4217 13/40 [========>.....................] - ETA: 7s - loss: 22.1659 - logits_profile_predictions_loss: 21.7413 - logcount_predictions_loss: 0.4245 14/40 [=========>....................] - ETA: 7s - loss: 22.2158 - logits_profile_predictions_loss: 21.7839 - logcount_predictions_loss: 0.4319 15/40 [==========>...................] - ETA: 7s - loss: 22.1515 - logits_profile_predictions_loss: 21.7175 - logcount_predictions_loss: 0.4340 16/40 [===========>..................] - ETA: 6s - loss: 22.1013 - logits_profile_predictions_loss: 21.6688 - logcount_predictions_loss: 0.4325 17/40 [===========>..................] - ETA: 6s - loss: 22.0830 - logits_profile_predictions_loss: 21.6505 - logcount_predictions_loss: 0.4326 18/40 [============>.................] - ETA: 6s - loss: 22.0870 - logits_profile_predictions_loss: 21.6551 - logcount_predictions_loss: 0.4318 19/40 [=============>................] - ETA: 6s - loss: 22.0151 - logits_profile_predictions_loss: 21.5815 - logcount_predictions_loss: 0.4336 20/40 [==============>...............] - ETA: 5s - loss: 21.9868 - logits_profile_predictions_loss: 21.5538 - logcount_predictions_loss: 0.4330 21/40 [==============>...............] - ETA: 5s - loss: 22.0053 - logits_profile_predictions_loss: 21.5716 - logcount_predictions_loss: 0.4337 22/40 [===============>..............] - ETA: 5s - loss: 22.0471 - logits_profile_predictions_loss: 21.6142 - logcount_predictions_loss: 0.4329 23/40 [================>.............] - ETA: 4s - loss: 22.0856 - logits_profile_predictions_loss: 21.6506 - logcount_predictions_loss: 0.4350 24/40 [=================>............] - ETA: 4s - loss: 22.0427 - logits_profile_predictions_loss: 21.6103 - logcount_predictions_loss: 0.4324 25/40 [=================>............] - ETA: 4s - loss: 22.1298 - logits_profile_predictions_loss: 21.6958 - logcount_predictions_loss: 0.4340 26/40 [==================>...........] - ETA: 4s - loss: 22.1558 - logits_profile_predictions_loss: 21.7207 - logcount_predictions_loss: 0.4351 27/40 [===================>..........] - ETA: 3s - loss: 22.2082 - logits_profile_predictions_loss: 21.7714 - logcount_predictions_loss: 0.4368 28/40 [====================>.........] - ETA: 3s - loss: 22.1614 - logits_profile_predictions_loss: 21.7228 - logcount_predictions_loss: 0.4386 29/40 [====================>.........] - ETA: 3s - loss: 22.1278 - logits_profile_predictions_loss: 21.6916 - logcount_predictions_loss: 0.4362 30/40 [=====================>........] - ETA: 2s - loss: 22.1007 - logits_profile_predictions_loss: 21.6673 - logcount_predictions_loss: 0.4334 31/40 [======================>.......] - ETA: 2s - loss: 22.0894 - logits_profile_predictions_loss: 21.6575 - logcount_predictions_loss: 0.4318 32/40 [=======================>......] - ETA: 2s - loss: 22.0812 - logits_profile_predictions_loss: 21.6494 - logcount_predictions_loss: 0.4318 33/40 [=======================>......] - ETA: 2s - loss: 22.0744 - logits_profile_predictions_loss: 21.6427 - logcount_predictions_loss: 0.4317 34/40 [========================>.....] - ETA: 1s - loss: 22.1111 - logits_profile_predictions_loss: 21.6786 - logcount_predictions_loss: 0.4325 35/40 [=========================>....] - ETA: 1s - loss: 22.0851 - logits_profile_predictions_loss: 21.6553 - logcount_predictions_loss: 0.4297 36/40 [==========================>...] - ETA: 1s - loss: 22.0612 - logits_profile_predictions_loss: 21.6317 - logcount_predictions_loss: 0.4295 37/40 [==========================>...] - ETA: 0s - loss: 22.0023 - logits_profile_predictions_loss: 21.5768 - logcount_predictions_loss: 0.4254 38/40 [===========================>..] - ETA: 0s - loss: 21.9740 - logits_profile_predictions_loss: 21.5499 - logcount_predictions_loss: 0.4241 39/40 [============================>.] - ETA: 0s - loss: 22.0403 - logits_profile_predictions_loss: 21.6106 - logcount_predictions_loss: 0.4297 40/40 [==============================] - ETA: 0s - loss: 22.0724 - logits_profile_predictions_loss: 21.6402 - logcount_predictions_loss: 0.4323 Epoch 7: val_loss did not improve from 24.07617  40/40 [==============================] - 12s 309ms/step - loss: 22.0724 - logits_profile_predictions_loss: 21.6402 - logcount_predictions_loss: 0.4323 - val_loss: 24.1866 - val_logits_profile_predictions_loss: 23.7382 - val_logcount_predictions_loss: 0.4483 Epoch 8/50 1/40 [..............................] - ETA: 12s - loss: 22.8442 - logits_profile_predictions_loss: 22.3045 - logcount_predictions_loss: 0.5397 2/40 [>.............................] - ETA: 11s - loss: 22.5898 - logits_profile_predictions_loss: 22.0639 - logcount_predictions_loss: 0.5259 3/40 [=>............................] - ETA: 10s - loss: 22.5782 - logits_profile_predictions_loss: 22.0763 - logcount_predictions_loss: 0.5019 4/40 [==>...........................] - ETA: 10s - loss: 22.0304 - logits_profile_predictions_loss: 21.5662 - logcount_predictions_loss: 0.4642 5/40 [==>...........................] - ETA: 10s - loss: 22.0370 - logits_profile_predictions_loss: 21.5763 - logcount_predictions_loss: 0.4607 6/40 [===>..........................] - ETA: 10s - loss: 21.7463 - logits_profile_predictions_loss: 21.3003 - logcount_predictions_loss: 0.4461 7/40 [====>.........................] - ETA: 9s - loss: 21.6250 - logits_profile_predictions_loss: 21.1834 - logcount_predictions_loss: 0.4416  8/40 [=====>........................] - ETA: 9s - loss: 21.8393 - logits_profile_predictions_loss: 21.3949 - logcount_predictions_loss: 0.4444 9/40 [=====>........................] - ETA: 9s - loss: 21.7645 - logits_profile_predictions_loss: 21.3226 - logcount_predictions_loss: 0.4419 10/40 [======>.......................] - ETA: 8s - loss: 21.7578 - logits_profile_predictions_loss: 21.3211 - logcount_predictions_loss: 0.4367 11/40 [=======>......................] - ETA: 8s - loss: 21.8430 - logits_profile_predictions_loss: 21.4020 - logcount_predictions_loss: 0.4410 12/40 [========>.....................] - ETA: 7s - loss: 21.9112 - logits_profile_predictions_loss: 21.4660 - logcount_predictions_loss: 0.4452 13/40 [========>.....................] - ETA: 7s - loss: 22.0310 - logits_profile_predictions_loss: 21.5881 - logcount_predictions_loss: 0.4429 14/40 [=========>....................] - ETA: 7s - loss: 21.9816 - logits_profile_predictions_loss: 21.5425 - logcount_predictions_loss: 0.4391 15/40 [==========>...................] - ETA: 7s - loss: 21.8858 - logits_profile_predictions_loss: 21.4506 - logcount_predictions_loss: 0.4352 16/40 [===========>..................] - ETA: 6s - loss: 21.8137 - logits_profile_predictions_loss: 21.3819 - logcount_predictions_loss: 0.4318 17/40 [===========>..................] - ETA: 6s - loss: 21.7737 - logits_profile_predictions_loss: 21.3458 - logcount_predictions_loss: 0.4279 18/40 [============>.................] - ETA: 6s - loss: 21.7630 - logits_profile_predictions_loss: 21.3356 - logcount_predictions_loss: 0.4274 19/40 [=============>................] - ETA: 6s - loss: 21.7283 - logits_profile_predictions_loss: 21.2987 - logcount_predictions_loss: 0.4296 20/40 [==============>...............] - ETA: 5s - loss: 21.7768 - logits_profile_predictions_loss: 21.3430 - logcount_predictions_loss: 0.4338 21/40 [==============>...............] - ETA: 5s - loss: 21.8714 - logits_profile_predictions_loss: 21.4333 - logcount_predictions_loss: 0.4381 22/40 [===============>..............] - ETA: 5s - loss: 21.8669 - logits_profile_predictions_loss: 21.4285 - logcount_predictions_loss: 0.4385 23/40 [================>.............] - ETA: 4s - loss: 21.8564 - logits_profile_predictions_loss: 21.4213 - logcount_predictions_loss: 0.4351 24/40 [=================>............] - ETA: 4s - loss: 21.7784 - logits_profile_predictions_loss: 21.3455 - logcount_predictions_loss: 0.4329 25/40 [=================>............] - ETA: 4s - loss: 21.7543 - logits_profile_predictions_loss: 21.3242 - logcount_predictions_loss: 0.4301 26/40 [==================>...........] - ETA: 4s - loss: 21.7358 - logits_profile_predictions_loss: 21.3048 - logcount_predictions_loss: 0.4310 27/40 [===================>..........] - ETA: 3s - loss: 21.6937 - logits_profile_predictions_loss: 21.2654 - logcount_predictions_loss: 0.4284 28/40 [====================>.........] - ETA: 3s - loss: 21.6875 - logits_profile_predictions_loss: 21.2609 - logcount_predictions_loss: 0.4266 29/40 [====================>.........] - ETA: 3s - loss: 21.6987 - logits_profile_predictions_loss: 21.2711 - logcount_predictions_loss: 0.4276 30/40 [=====================>........] - ETA: 2s - loss: 21.7544 - logits_profile_predictions_loss: 21.3256 - logcount_predictions_loss: 0.4288 31/40 [======================>.......] - ETA: 2s - loss: 21.7401 - logits_profile_predictions_loss: 21.3129 - logcount_predictions_loss: 0.4272 32/40 [=======================>......] - ETA: 2s - loss: 21.8293 - logits_profile_predictions_loss: 21.3976 - logcount_predictions_loss: 0.4317 33/40 [=======================>......] - ETA: 2s - loss: 21.8847 - logits_profile_predictions_loss: 21.4504 - logcount_predictions_loss: 0.4343 34/40 [========================>.....] - ETA: 1s - loss: 21.8893 - logits_profile_predictions_loss: 21.4538 - logcount_predictions_loss: 0.4355 35/40 [=========================>....] - ETA: 1s - loss: 21.8551 - logits_profile_predictions_loss: 21.4226 - logcount_predictions_loss: 0.4325 36/40 [==========================>...] - ETA: 1s - loss: 21.8491 - logits_profile_predictions_loss: 21.4175 - logcount_predictions_loss: 0.4317 37/40 [==========================>...] - ETA: 0s - loss: 21.8244 - logits_profile_predictions_loss: 21.3949 - logcount_predictions_loss: 0.4295 38/40 [===========================>..] - ETA: 0s - loss: 21.8623 - logits_profile_predictions_loss: 21.4316 - logcount_predictions_loss: 0.4307 39/40 [============================>.] - ETA: 0s - loss: 21.9104 - logits_profile_predictions_loss: 21.4778 - logcount_predictions_loss: 0.4326 40/40 [==============================] - ETA: 0s - loss: 21.9470 - logits_profile_predictions_loss: 21.5140 - logcount_predictions_loss: 0.4329 Epoch 8: val_loss did not improve from 24.07617  40/40 [==============================] - 12s 309ms/step - loss: 21.9470 - logits_profile_predictions_loss: 21.5140 - logcount_predictions_loss: 0.4329 - val_loss: 24.1158 - val_logits_profile_predictions_loss: 23.6675 - val_logcount_predictions_loss: 0.4483 Epoch 9/50 1/40 [..............................] - ETA: 11s - loss: 21.4500 - logits_profile_predictions_loss: 21.0002 - logcount_predictions_loss: 0.4498 2/40 [>.............................] - ETA: 11s - loss: 22.0810 - logits_profile_predictions_loss: 21.6059 - logcount_predictions_loss: 0.4751 3/40 [=>............................] - ETA: 10s - loss: 21.5528 - logits_profile_predictions_loss: 21.1202 - logcount_predictions_loss: 0.4325 4/40 [==>...........................] - ETA: 10s - loss: 21.7723 - logits_profile_predictions_loss: 21.3222 - logcount_predictions_loss: 0.4501 5/40 [==>...........................] - ETA: 10s - loss: 21.6727 - logits_profile_predictions_loss: 21.2436 - logcount_predictions_loss: 0.4291 6/40 [===>..........................] - ETA: 10s - loss: 21.7504 - logits_profile_predictions_loss: 21.3125 - logcount_predictions_loss: 0.4379 7/40 [====>.........................] - ETA: 9s - loss: 21.6778 - logits_profile_predictions_loss: 21.2508 - logcount_predictions_loss: 0.4270  8/40 [=====>........................] - ETA: 9s - loss: 21.7633 - logits_profile_predictions_loss: 21.3292 - logcount_predictions_loss: 0.4340 9/40 [=====>........................] - ETA: 9s - loss: 21.6221 - logits_profile_predictions_loss: 21.1885 - logcount_predictions_loss: 0.4335 10/40 [======>.......................] - ETA: 8s - loss: 21.6844 - logits_profile_predictions_loss: 21.2435 - logcount_predictions_loss: 0.4409 11/40 [=======>......................] - ETA: 8s - loss: 21.6658 - logits_profile_predictions_loss: 21.2284 - logcount_predictions_loss: 0.4374 12/40 [========>.....................] - ETA: 8s - loss: 21.5870 - logits_profile_predictions_loss: 21.1576 - logcount_predictions_loss: 0.4294 13/40 [========>.....................] - ETA: 7s - loss: 21.6286 - logits_profile_predictions_loss: 21.2011 - logcount_predictions_loss: 0.4276 14/40 [=========>....................] - ETA: 7s - loss: 21.7060 - logits_profile_predictions_loss: 21.2784 - logcount_predictions_loss: 0.4276 15/40 [==========>...................] - ETA: 7s - loss: 21.8030 - logits_profile_predictions_loss: 21.3701 - logcount_predictions_loss: 0.4329 16/40 [===========>..................] - ETA: 7s - loss: 21.9560 - logits_profile_predictions_loss: 21.5128 - logcount_predictions_loss: 0.4432 17/40 [===========>..................] - ETA: 6s - loss: 21.9119 - logits_profile_predictions_loss: 21.4670 - logcount_predictions_loss: 0.4449 18/40 [============>.................] - ETA: 6s - loss: 21.8768 - logits_profile_predictions_loss: 21.4338 - logcount_predictions_loss: 0.4430 19/40 [=============>................] - ETA: 6s - loss: 21.8403 - logits_profile_predictions_loss: 21.4002 - logcount_predictions_loss: 0.4401 20/40 [==============>...............] - ETA: 5s - loss: 21.8091 - logits_profile_predictions_loss: 21.3718 - logcount_predictions_loss: 0.4373 21/40 [==============>...............] - ETA: 5s - loss: 21.7715 - logits_profile_predictions_loss: 21.3345 - logcount_predictions_loss: 0.4370 22/40 [===============>..............] - ETA: 5s - loss: 21.7840 - logits_profile_predictions_loss: 21.3474 - logcount_predictions_loss: 0.4365 23/40 [================>.............] - ETA: 5s - loss: 21.7366 - logits_profile_predictions_loss: 21.3000 - logcount_predictions_loss: 0.4365 24/40 [=================>............] - ETA: 4s - loss: 21.7150 - logits_profile_predictions_loss: 21.2797 - logcount_predictions_loss: 0.4353 25/40 [=================>............] - ETA: 4s - loss: 21.7257 - logits_profile_predictions_loss: 21.2904 - logcount_predictions_loss: 0.4353 26/40 [==================>...........] - ETA: 4s - loss: 21.7162 - logits_profile_predictions_loss: 21.2802 - logcount_predictions_loss: 0.4360 27/40 [===================>..........] - ETA: 3s - loss: 21.6748 - logits_profile_predictions_loss: 21.2414 - logcount_predictions_loss: 0.4334 28/40 [====================>.........] - ETA: 3s - loss: 21.7053 - logits_profile_predictions_loss: 21.2721 - logcount_predictions_loss: 0.4331 29/40 [====================>.........] - ETA: 3s - loss: 21.7234 - logits_profile_predictions_loss: 21.2886 - logcount_predictions_loss: 0.4348 30/40 [=====================>........] - ETA: 2s - loss: 21.7902 - logits_profile_predictions_loss: 21.3510 - logcount_predictions_loss: 0.4392 31/40 [======================>.......] - ETA: 2s - loss: 21.7691 - logits_profile_predictions_loss: 21.3296 - logcount_predictions_loss: 0.4395 32/40 [=======================>......] - ETA: 2s - loss: 21.7610 - logits_profile_predictions_loss: 21.3212 - logcount_predictions_loss: 0.4399 33/40 [=======================>......] - ETA: 2s - loss: 21.7643 - logits_profile_predictions_loss: 21.3239 - logcount_predictions_loss: 0.4404 34/40 [========================>.....] - ETA: 1s - loss: 21.7803 - logits_profile_predictions_loss: 21.3401 - logcount_predictions_loss: 0.4401 35/40 [=========================>....] - ETA: 1s - loss: 21.7497 - logits_profile_predictions_loss: 21.3117 - logcount_predictions_loss: 0.4381 36/40 [==========================>...] - ETA: 1s - loss: 21.7540 - logits_profile_predictions_loss: 21.3147 - logcount_predictions_loss: 0.4393 37/40 [==========================>...] - ETA: 0s - loss: 21.7765 - logits_profile_predictions_loss: 21.3365 - logcount_predictions_loss: 0.4400 38/40 [===========================>..] - ETA: 0s - loss: 21.7701 - logits_profile_predictions_loss: 21.3299 - logcount_predictions_loss: 0.4402 39/40 [============================>.] - ETA: 0s - loss: 21.7828 - logits_profile_predictions_loss: 21.3439 - logcount_predictions_loss: 0.4389 40/40 [==============================] - ETA: 0s - loss: 21.8366 - logits_profile_predictions_loss: 21.3964 - logcount_predictions_loss: 0.4402 Epoch 9: val_loss did not improve from 24.07617  40/40 [==============================] - 12s 308ms/step - loss: 21.8366 - logits_profile_predictions_loss: 21.3964 - logcount_predictions_loss: 0.4402 - val_loss: 24.1352 - val_logits_profile_predictions_loss: 23.6869 - val_logcount_predictions_loss: 0.4483 Epoch 10/50 1/40 [..............................] - ETA: 11s - loss: 21.6561 - logits_profile_predictions_loss: 21.1800 - logcount_predictions_loss: 0.4761 2/40 [>.............................] - ETA: 11s - loss: 21.9635 - logits_profile_predictions_loss: 21.4936 - logcount_predictions_loss: 0.4699 3/40 [=>............................] - ETA: 10s - loss: 21.8410 - logits_profile_predictions_loss: 21.3807 - logcount_predictions_loss: 0.4602 4/40 [==>...........................] - ETA: 10s - loss: 22.3983 - logits_profile_predictions_loss: 21.9319 - logcount_predictions_loss: 0.4664 5/40 [==>...........................] - ETA: 10s - loss: 22.4374 - logits_profile_predictions_loss: 21.9654 - logcount_predictions_loss: 0.4719 6/40 [===>..........................] - ETA: 10s - loss: 22.3097 - logits_profile_predictions_loss: 21.8427 - logcount_predictions_loss: 0.4670 7/40 [====>.........................] - ETA: 9s - loss: 22.2983 - logits_profile_predictions_loss: 21.8369 - logcount_predictions_loss: 0.4614  8/40 [=====>........................] - ETA: 9s - loss: 22.1710 - logits_profile_predictions_loss: 21.7141 - logcount_predictions_loss: 0.4568 9/40 [=====>........................] - ETA: 9s - loss: 21.9690 - logits_profile_predictions_loss: 21.5215 - logcount_predictions_loss: 0.4475 10/40 [======>.......................] - ETA: 8s - loss: 21.8337 - logits_profile_predictions_loss: 21.3925 - logcount_predictions_loss: 0.4412 11/40 [=======>......................] - ETA: 8s - loss: 21.8104 - logits_profile_predictions_loss: 21.3654 - logcount_predictions_loss: 0.4451 12/40 [========>.....................] - ETA: 8s - loss: 21.7393 - logits_profile_predictions_loss: 21.2960 - logcount_predictions_loss: 0.4432 13/40 [========>.....................] - ETA: 7s - loss: 21.6529 - logits_profile_predictions_loss: 21.2141 - logcount_predictions_loss: 0.4388 14/40 [=========>....................] - ETA: 7s - loss: 21.6630 - logits_profile_predictions_loss: 21.2239 - logcount_predictions_loss: 0.4392 15/40 [==========>...................] - ETA: 7s - loss: 21.6168 - logits_profile_predictions_loss: 21.1784 - logcount_predictions_loss: 0.4383 16/40 [===========>..................] - ETA: 6s - loss: 21.6595 - logits_profile_predictions_loss: 21.2195 - logcount_predictions_loss: 0.4400 17/40 [===========>..................] - ETA: 6s - loss: 21.6857 - logits_profile_predictions_loss: 21.2403 - logcount_predictions_loss: 0.4454 18/40 [============>.................] - ETA: 6s - loss: 21.7159 - logits_profile_predictions_loss: 21.2697 - logcount_predictions_loss: 0.4462 19/40 [=============>................] - ETA: 6s - loss: 21.6194 - logits_profile_predictions_loss: 21.1745 - logcount_predictions_loss: 0.4449 20/40 [==============>...............] - ETA: 5s - loss: 21.7055 - logits_profile_predictions_loss: 21.2552 - logcount_predictions_loss: 0.4503 21/40 [==============>...............] - ETA: 5s - loss: 21.6715 - logits_profile_predictions_loss: 21.2231 - logcount_predictions_loss: 0.4484 22/40 [===============>..............] - ETA: 5s - loss: 21.7156 - logits_profile_predictions_loss: 21.2665 - logcount_predictions_loss: 0.4491 23/40 [================>.............] - ETA: 4s - loss: 21.7397 - logits_profile_predictions_loss: 21.2905 - logcount_predictions_loss: 0.4493 24/40 [=================>............] - ETA: 4s - loss: 21.7379 - logits_profile_predictions_loss: 21.2867 - logcount_predictions_loss: 0.4512 25/40 [=================>............] - ETA: 4s - loss: 21.7278 - logits_profile_predictions_loss: 21.2786 - logcount_predictions_loss: 0.4492 26/40 [==================>...........] - ETA: 4s - loss: 21.7472 - logits_profile_predictions_loss: 21.2980 - logcount_predictions_loss: 0.4492 27/40 [===================>..........] - ETA: 3s - loss: 21.7163 - logits_profile_predictions_loss: 21.2670 - logcount_predictions_loss: 0.4493 28/40 [====================>.........] - ETA: 3s - loss: 21.7184 - logits_profile_predictions_loss: 21.2668 - logcount_predictions_loss: 0.4517 29/40 [====================>.........] - ETA: 3s - loss: 21.7882 - logits_profile_predictions_loss: 21.3346 - logcount_predictions_loss: 0.4535 30/40 [=====================>........] - ETA: 2s - loss: 21.7470 - logits_profile_predictions_loss: 21.2968 - logcount_predictions_loss: 0.4501 31/40 [======================>.......] - ETA: 2s - loss: 21.7185 - logits_profile_predictions_loss: 21.2688 - logcount_predictions_loss: 0.4497 32/40 [=======================>......] - ETA: 2s - loss: 21.6421 - logits_profile_predictions_loss: 21.1952 - logcount_predictions_loss: 0.4469 33/40 [=======================>......] - ETA: 2s - loss: 21.6554 - logits_profile_predictions_loss: 21.2066 - logcount_predictions_loss: 0.4489 34/40 [========================>.....] - ETA: 1s - loss: 21.6538 - logits_profile_predictions_loss: 21.2053 - logcount_predictions_loss: 0.4485 35/40 [=========================>....] - ETA: 1s - loss: 21.6555 - logits_profile_predictions_loss: 21.2093 - logcount_predictions_loss: 0.4462 36/40 [==========================>...] - ETA: 1s - loss: 21.6497 - logits_profile_predictions_loss: 21.2040 - logcount_predictions_loss: 0.4457 37/40 [==========================>...] - ETA: 0s - loss: 21.6426 - logits_profile_predictions_loss: 21.1983 - logcount_predictions_loss: 0.4442 38/40 [===========================>..] - ETA: 0s - loss: 21.6443 - logits_profile_predictions_loss: 21.2000 - logcount_predictions_loss: 0.4443 39/40 [============================>.] - ETA: 0s - loss: 21.7171 - logits_profile_predictions_loss: 21.2703 - logcount_predictions_loss: 0.4468 40/40 [==============================] - ETA: 0s - loss: 21.7063 - logits_profile_predictions_loss: 21.2615 - logcount_predictions_loss: 0.4448 Epoch 10: val_loss did not improve from 24.07617  40/40 [==============================] - 12s 309ms/step - loss: 21.7063 - logits_profile_predictions_loss: 21.2615 - logcount_predictions_loss: 0.4448 - val_loss: 24.2531 - val_logits_profile_predictions_loss: 23.8047 - val_logcount_predictions_loss: 0.4483 Epoch 11/50 1/40 [..............................] - ETA: 12s - loss: 21.9268 - logits_profile_predictions_loss: 21.4286 - logcount_predictions_loss: 0.4982 2/40 [>.............................] - ETA: 11s - loss: 22.5271 - logits_profile_predictions_loss: 21.9880 - logcount_predictions_loss: 0.5391 3/40 [=>............................] - ETA: 10s - loss: 21.4386 - logits_profile_predictions_loss: 20.9600 - logcount_predictions_loss: 0.4786 4/40 [==>...........................] - ETA: 10s - loss: 21.2063 - logits_profile_predictions_loss: 20.7513 - logcount_predictions_loss: 0.4550 5/40 [==>...........................] - ETA: 10s - loss: 21.0546 - logits_profile_predictions_loss: 20.6219 - logcount_predictions_loss: 0.4327 6/40 [===>..........................] - ETA: 10s - loss: 21.0524 - logits_profile_predictions_loss: 20.6228 - logcount_predictions_loss: 0.4295 7/40 [====>.........................] - ETA: 9s - loss: 21.0589 - logits_profile_predictions_loss: 20.6288 - logcount_predictions_loss: 0.4301  8/40 [=====>........................] - ETA: 9s - loss: 21.1600 - logits_profile_predictions_loss: 20.7278 - logcount_predictions_loss: 0.4323 9/40 [=====>........................] - ETA: 9s - loss: 21.1248 - logits_profile_predictions_loss: 20.6868 - logcount_predictions_loss: 0.4380 10/40 [======>.......................] - ETA: 8s - loss: 21.2097 - logits_profile_predictions_loss: 20.7709 - logcount_predictions_loss: 0.4388 11/40 [=======>......................] - ETA: 8s - loss: 21.2282 - logits_profile_predictions_loss: 20.7903 - logcount_predictions_loss: 0.4380 12/40 [========>.....................] - ETA: 8s - loss: 21.2936 - logits_profile_predictions_loss: 20.8578 - logcount_predictions_loss: 0.4358 13/40 [========>.....................] - ETA: 7s - loss: 21.3407 - logits_profile_predictions_loss: 20.8980 - logcount_predictions_loss: 0.4428 14/40 [=========>....................] - ETA: 7s - loss: 21.3235 - logits_profile_predictions_loss: 20.8843 - logcount_predictions_loss: 0.4392 15/40 [==========>...................] - ETA: 7s - loss: 21.3613 - logits_profile_predictions_loss: 20.9228 - logcount_predictions_loss: 0.4385 16/40 [===========>..................] - ETA: 7s - loss: 21.3767 - logits_profile_predictions_loss: 20.9377 - logcount_predictions_loss: 0.4390 17/40 [===========>..................] - ETA: 6s - loss: 21.3360 - logits_profile_predictions_loss: 20.8999 - logcount_predictions_loss: 0.4361 18/40 [============>.................] - ETA: 6s - loss: 21.3054 - logits_profile_predictions_loss: 20.8694 - logcount_predictions_loss: 0.4360 19/40 [=============>................] - ETA: 6s - loss: 21.4041 - logits_profile_predictions_loss: 20.9651 - logcount_predictions_loss: 0.4390 20/40 [==============>...............] - ETA: 5s - loss: 21.3700 - logits_profile_predictions_loss: 20.9313 - logcount_predictions_loss: 0.4387 21/40 [==============>...............] - ETA: 5s - loss: 21.4403 - logits_profile_predictions_loss: 21.0007 - logcount_predictions_loss: 0.4397 22/40 [===============>..............] - ETA: 5s - loss: 21.5280 - logits_profile_predictions_loss: 21.0860 - logcount_predictions_loss: 0.4420 23/40 [================>.............] - ETA: 5s - loss: 21.4949 - logits_profile_predictions_loss: 21.0539 - logcount_predictions_loss: 0.4410 24/40 [=================>............] - ETA: 4s - loss: 21.4442 - logits_profile_predictions_loss: 21.0028 - logcount_predictions_loss: 0.4414 25/40 [=================>............] - ETA: 4s - loss: 21.5129 - logits_profile_predictions_loss: 21.0673 - logcount_predictions_loss: 0.4457 26/40 [==================>...........] - ETA: 4s - loss: 21.4763 - logits_profile_predictions_loss: 21.0354 - logcount_predictions_loss: 0.4409 27/40 [===================>..........] - ETA: 3s - loss: 21.5264 - logits_profile_predictions_loss: 21.0831 - logcount_predictions_loss: 0.4433 28/40 [====================>.........] - ETA: 3s - loss: 21.5264 - logits_profile_predictions_loss: 21.0846 - logcount_predictions_loss: 0.4418 29/40 [====================>.........] - ETA: 3s - loss: 21.5030 - logits_profile_predictions_loss: 21.0603 - logcount_predictions_loss: 0.4427 30/40 [=====================>........] - ETA: 2s - loss: 21.4921 - logits_profile_predictions_loss: 21.0504 - logcount_predictions_loss: 0.4417 31/40 [======================>.......] - ETA: 2s - loss: 21.4910 - logits_profile_predictions_loss: 21.0496 - logcount_predictions_loss: 0.4414 32/40 [=======================>......] - ETA: 2s - loss: 21.4339 - logits_profile_predictions_loss: 20.9943 - logcount_predictions_loss: 0.4396 33/40 [=======================>......] - ETA: 2s - loss: 21.3787 - logits_profile_predictions_loss: 20.9405 - logcount_predictions_loss: 0.4382 34/40 [========================>.....] - ETA: 1s - loss: 21.3478 - logits_profile_predictions_loss: 20.9123 - logcount_predictions_loss: 0.4356 35/40 [=========================>....] - ETA: 1s - loss: 21.3597 - logits_profile_predictions_loss: 20.9242 - logcount_predictions_loss: 0.4354 36/40 [==========================>...] - ETA: 1s - loss: 21.3761 - logits_profile_predictions_loss: 20.9374 - logcount_predictions_loss: 0.4387 37/40 [==========================>...] - ETA: 0s - loss: 21.4052 - logits_profile_predictions_loss: 20.9675 - logcount_predictions_loss: 0.4378 38/40 [===========================>..] - ETA: 0s - loss: 21.3980 - logits_profile_predictions_loss: 20.9617 - logcount_predictions_loss: 0.4363 39/40 [============================>.] - ETA: 0s - loss: 21.4192 - logits_profile_predictions_loss: 20.9810 - logcount_predictions_loss: 0.4382 40/40 [==============================] - ETA: 0s - loss: 21.3944 - logits_profile_predictions_loss: 20.9587 - logcount_predictions_loss: 0.4357 Epoch 11: val_loss did not improve from 24.07617 Restoring model weights from the end of the best epoch: 6.  40/40 [==============================] - 12s 309ms/step - loss: 21.3944 - logits_profile_predictions_loss: 20.9587 - logcount_predictions_loss: 0.4357 - val_loss: 24.2609 - val_logits_profile_predictions_loss: 23.8126 - val_logcount_predictions_loss: 0.4483 Epoch 11: early stopping save model save model without bias got the model loading peaks... got split:test for bed regions:(634, 10) 0/10 MOTIF_NAME MOTIF_PWM_FWD 0 tn5_1 GCACAGTACAGAGCTG 1 tn5_2 GTGCACAGTTCTAGAGTGTGCAG 2 tn5_3 CCTCTACACTGTGCAGAA 3 tn5_4 GCACAGTTCTAGACTGTGCAG 4 tn5_5 CTGCACAGTGTAGAGTTGTGC got the model Model: "model_1" __________________________________________________________________________________________________ Layer (type) Output Shape Param # Connected to ================================================================================================== sequence (InputLayer) [(None, 2114, 4)] 0 [] wo_bias_bpnet_1st_conv (Conv1D (None, 2094, 512) 43520 ['sequence[0][0]'] ) wo_bias_bpnet_1conv (Conv1D) (None, 2090, 512) 786944 ['wo_bias_bpnet_1st_conv[0][0]'] wo_bias_bpnet_1crop (Cropping1 (None, 2090, 512) 0 ['wo_bias_bpnet_1st_conv[0][0]'] D) add (Add) (None, 2090, 512) 0 ['wo_bias_bpnet_1conv[0][0]', 'wo_bias_bpnet_1crop[0][0]'] wo_bias_bpnet_2conv (Conv1D) (None, 2082, 512) 786944 ['add[0][0]'] wo_bias_bpnet_2crop (Cropping1 (None, 2082, 512) 0 ['add[0][0]'] D) add_1 (Add) (None, 2082, 512) 0 ['wo_bias_bpnet_2conv[0][0]', 'wo_bias_bpnet_2crop[0][0]'] wo_bias_bpnet_3conv (Conv1D) (None, 2066, 512) 786944 ['add_1[0][0]'] wo_bias_bpnet_3crop (Cropping1 (None, 2066, 512) 0 ['add_1[0][0]'] D) add_2 (Add) (None, 2066, 512) 0 ['wo_bias_bpnet_3conv[0][0]', 'wo_bias_bpnet_3crop[0][0]'] wo_bias_bpnet_4conv (Conv1D) (None, 2034, 512) 786944 ['add_2[0][0]'] wo_bias_bpnet_4crop (Cropping1 (None, 2034, 512) 0 ['add_2[0][0]'] D) add_3 (Add) (None, 2034, 512) 0 ['wo_bias_bpnet_4conv[0][0]', 'wo_bias_bpnet_4crop[0][0]'] wo_bias_bpnet_5conv (Conv1D) (None, 1970, 512) 786944 ['add_3[0][0]'] wo_bias_bpnet_5crop (Cropping1 (None, 1970, 512) 0 ['add_3[0][0]'] D) add_4 (Add) (None, 1970, 512) 0 ['wo_bias_bpnet_5conv[0][0]', 'wo_bias_bpnet_5crop[0][0]'] wo_bias_bpnet_6conv (Conv1D) (None, 1842, 512) 786944 ['add_4[0][0]'] wo_bias_bpnet_6crop (Cropping1 (None, 1842, 512) 0 ['add_4[0][0]'] D) add_5 (Add) (None, 1842, 512) 0 ['wo_bias_bpnet_6conv[0][0]', 'wo_bias_bpnet_6crop[0][0]'] wo_bias_bpnet_7conv (Conv1D) (None, 1586, 512) 786944 ['add_5[0][0]'] wo_bias_bpnet_7crop (Cropping1 (None, 1586, 512) 0 ['add_5[0][0]'] D) add_6 (Add) (None, 1586, 512) 0 ['wo_bias_bpnet_7conv[0][0]', 'wo_bias_bpnet_7crop[0][0]'] wo_bias_bpnet_8conv (Conv1D) (None, 1074, 512) 786944 ['add_6[0][0]'] wo_bias_bpnet_8crop (Cropping1 (None, 1074, 512) 0 ['add_6[0][0]'] D) add_7 (Add) (None, 1074, 512) 0 ['wo_bias_bpnet_8conv[0][0]', 'wo_bias_bpnet_8crop[0][0]'] wo_bias_bpnet_prof_out_precrop (None, 1000, 1) 38401 ['add_7[0][0]'] (Conv1D) wo_bias_bpnet_logitt_before_fl (None, 1000, 1) 0 ['wo_bias_bpnet_prof_out_precrop[ atten (Cropping1D) 0][0]'] gap (GlobalAveragePooling1D) (None, 512) 0 ['add_7[0][0]'] wo_bias_bpnet_logits_profile_p (None, 1000) 0 ['wo_bias_bpnet_logitt_before_fla redictions (Flatten) tten[0][0]'] wo_bias_bpnet_logcount_predict (None, 1) 513 ['gap[0][0]'] ions (Dense) ================================================================================================== Total params: 6,377,986 Trainable params: 6,377,986 Non-trainable params: 0 __________________________________________________________________________________________________ inferred model inputlen: 2114 inferred model outputlen: 1000 inserting motif: control 1/10 [==>...........................] - ETA: 1s 2/10 [=====>........................] - ETA: 0s 3/10 [========>.....................] - ETA: 0s 4/10 [===========>..................] - ETA: 0s 5/10 [==============>...............] - ETA: 0s 6/10 [=================>............] - ETA: 0s 7/10 [====================>.........] - ETA: 0s 8/10 [=======================>......] - ETA: 0s 9/10 [==========================>...] - ETA: 0s 10/10 [==============================] - ETA: 0s 10/10 [==============================] - 1s 108ms/step 1/10 [==>...........................] - ETA: 0s 2/10 [=====>........................] - ETA: 0s 3/10 [========>.....................] - ETA: 0s 4/10 [===========>..................] - ETA: 0s 5/10 [==============>...............] - ETA: 0s 6/10 [=================>............] - ETA: 0s 7/10 [====================>.........] - ETA: 0s 8/10 [=======================>......] - ETA: 0s 9/10 [==========================>...] - ETA: 0s 10/10 [==============================] - ETA: 0s 10/10 [==============================] - 1s 108ms/step inserting motif: tn5_1 GCACAGTACAGAGCTG 1/10 [==>...........................] - ETA: 0s 2/10 [=====>........................] - ETA: 0s 3/10 [========>.....................] - ETA: 0s 4/10 [===========>..................] - ETA: 0s 5/10 [==============>...............] - ETA: 0s 6/10 [=================>............] - ETA: 0s 7/10 [====================>.........] - ETA: 0s 8/10 [=======================>......] - ETA: 0s 9/10 [==========================>...] - ETA: 0s 10/10 [==============================] - ETA: 0s 10/10 [==============================] - 1s 108ms/step 1/10 [==>...........................] - ETA: 0s 2/10 [=====>........................] - ETA: 0s 3/10 [========>.....................] - ETA: 0s 4/10 [===========>..................] - ETA: 0s 5/10 [==============>...............] - ETA: 0s 6/10 [=================>............] - ETA: 0s 7/10 [====================>.........] - ETA: 0s 8/10 [=======================>......] - ETA: 0s 9/10 [==========================>...] - ETA: 0s 10/10 [==============================] - ETA: 0s 10/10 [==============================] - 1s 108ms/step inserting motif: tn5_2 GTGCACAGTTCTAGAGTGTGCAG 1/10 [==>...........................] - ETA: 0s 2/10 [=====>........................] - ETA: 0s 3/10 [========>.....................] - ETA: 0s 4/10 [===========>..................] - ETA: 0s 5/10 [==============>...............] - ETA: 0s 6/10 [=================>............] - ETA: 0s 7/10 [====================>.........] - ETA: 0s 8/10 [=======================>......] - ETA: 0s 9/10 [==========================>...] - ETA: 0s 10/10 [==============================] - ETA: 0s 10/10 [==============================] - 1s 108ms/step 1/10 [==>...........................] - ETA: 0s 2/10 [=====>........................] - ETA: 0s 3/10 [========>.....................] - ETA: 0s 4/10 [===========>..................] - ETA: 0s 5/10 [==============>...............] - ETA: 0s 6/10 [=================>............] - ETA: 0s 7/10 [====================>.........] - ETA: 0s 8/10 [=======================>......] - ETA: 0s 9/10 [==========================>...] - ETA: 0s 10/10 [==============================] - ETA: 0s 10/10 [==============================] - 1s 108ms/step inserting motif: tn5_3 CCTCTACACTGTGCAGAA 1/10 [==>...........................] - ETA: 0s 2/10 [=====>........................] - ETA: 0s 3/10 [========>.....................] - ETA: 0s 4/10 [===========>..................] - ETA: 0s 5/10 [==============>...............] - ETA: 0s 6/10 [=================>............] - ETA: 0s 7/10 [====================>.........] - ETA: 0s 8/10 [=======================>......] - ETA: 0s 9/10 [==========================>...] - ETA: 0s 10/10 [==============================] - ETA: 0s 10/10 [==============================] - 1s 108ms/step 1/10 [==>...........................] - ETA: 0s 2/10 [=====>........................] - ETA: 0s 3/10 [========>.....................] - ETA: 0s 4/10 [===========>..................] - ETA: 0s 5/10 [==============>...............] - ETA: 0s 6/10 [=================>............] - ETA: 0s 7/10 [====================>.........] - ETA: 0s 8/10 [=======================>......] - ETA: 0s 9/10 [==========================>...] - ETA: 0s 10/10 [==============================] - ETA: 0s 10/10 [==============================] - 1s 108ms/step inserting motif: tn5_4 GCACAGTTCTAGACTGTGCAG 1/10 [==>...........................] - ETA: 0s 2/10 [=====>........................] - ETA: 0s 3/10 [========>.....................] - ETA: 0s 4/10 [===========>..................] - ETA: 0s 5/10 [==============>...............] - ETA: 0s 6/10 [=================>............] - ETA: 0s 7/10 [====================>.........] - ETA: 0s 8/10 [=======================>......] - ETA: 0s 9/10 [==========================>...] - ETA: 0s 10/10 [==============================] - ETA: 0s 10/10 [==============================] - 1s 108ms/step 1/10 [==>...........................] - ETA: 0s 2/10 [=====>........................] - ETA: 0s 3/10 [========>.....................] - ETA: 0s 4/10 [===========>..................] - ETA: 0s 5/10 [==============>...............] - ETA: 0s 6/10 [=================>............] - ETA: 0s 7/10 [====================>.........] - ETA: 0s 8/10 [=======================>......] - ETA: 0s 9/10 [==========================>...] - ETA: 0s 10/10 [==============================] - ETA: 0s 10/10 [==============================] - 1s 108ms/step inserting motif: tn5_5 CTGCACAGTGTAGAGTTGTGC 1/10 [==>...........................] - ETA: 0s 2/10 [=====>........................] - ETA: 0s 3/10 [========>.....................] - ETA: 0s 4/10 [===========>..................] - ETA: 0s 5/10 [==============>...............] - ETA: 0s 6/10 [=================>............] - ETA: 0s 7/10 [====================>.........] - ETA: 0s 8/10 [=======================>......] - ETA: 0s 9/10 [==========================>...] - ETA: 0s 10/10 [==============================] - ETA: 0s 10/10 [==============================] - 1s 108ms/step 1/10 [==>...........................] - ETA: 0s 2/10 [=====>........................] - ETA: 0s 3/10 [========>.....................] - ETA: 0s 4/10 [===========>..................] - ETA: 0s 5/10 [==============>...............] - ETA: 0s 6/10 [=================>............] - ETA: 0s 7/10 [====================>.........] - ETA: 0s 8/10 [=======================>......] - ETA: 0s 9/10 [==========================>...] - ETA: 0s 10/10 [==============================] - ETA: 0s 10/10 [==============================] - 1s 108ms/step Saving marginal footprints got the model Model: "model_1" __________________________________________________________________________________________________ Layer (type) Output Shape Param # Connected to ================================================================================================== sequence (InputLayer) [(None, 2114, 4)] 0 [] wo_bias_bpnet_1st_conv (Conv1D (None, 2094, 512) 43520 ['sequence[0][0]'] ) wo_bias_bpnet_1conv (Conv1D) (None, 2090, 512) 786944 ['wo_bias_bpnet_1st_conv[0][0]'] wo_bias_bpnet_1crop (Cropping1 (None, 2090, 512) 0 ['wo_bias_bpnet_1st_conv[0][0]'] D) add (Add) (None, 2090, 512) 0 ['wo_bias_bpnet_1conv[0][0]', 'wo_bias_bpnet_1crop[0][0]'] wo_bias_bpnet_2conv (Conv1D) (None, 2082, 512) 786944 ['add[0][0]'] wo_bias_bpnet_2crop (Cropping1 (None, 2082, 512) 0 ['add[0][0]'] D) add_1 (Add) (None, 2082, 512) 0 ['wo_bias_bpnet_2conv[0][0]', 'wo_bias_bpnet_2crop[0][0]'] wo_bias_bpnet_3conv (Conv1D) (None, 2066, 512) 786944 ['add_1[0][0]'] wo_bias_bpnet_3crop (Cropping1 (None, 2066, 512) 0 ['add_1[0][0]'] D) add_2 (Add) (None, 2066, 512) 0 ['wo_bias_bpnet_3conv[0][0]', 'wo_bias_bpnet_3crop[0][0]'] wo_bias_bpnet_4conv (Conv1D) (None, 2034, 512) 786944 ['add_2[0][0]'] wo_bias_bpnet_4crop (Cropping1 (None, 2034, 512) 0 ['add_2[0][0]'] D) add_3 (Add) (None, 2034, 512) 0 ['wo_bias_bpnet_4conv[0][0]', 'wo_bias_bpnet_4crop[0][0]'] wo_bias_bpnet_5conv (Conv1D) (None, 1970, 512) 786944 ['add_3[0][0]'] wo_bias_bpnet_5crop (Cropping1 (None, 1970, 512) 0 ['add_3[0][0]'] D) add_4 (Add) (None, 1970, 512) 0 ['wo_bias_bpnet_5conv[0][0]', 'wo_bias_bpnet_5crop[0][0]'] wo_bias_bpnet_6conv (Conv1D) (None, 1842, 512) 786944 ['add_4[0][0]'] wo_bias_bpnet_6crop (Cropping1 (None, 1842, 512) 0 ['add_4[0][0]'] D) add_5 (Add) (None, 1842, 512) 0 ['wo_bias_bpnet_6conv[0][0]', 'wo_bias_bpnet_6crop[0][0]'] wo_bias_bpnet_7conv (Conv1D) (None, 1586, 512) 786944 ['add_5[0][0]'] wo_bias_bpnet_7crop (Cropping1 (None, 1586, 512) 0 ['add_5[0][0]'] D) add_6 (Add) (None, 1586, 512) 0 ['wo_bias_bpnet_7conv[0][0]', 'wo_bias_bpnet_7crop[0][0]'] wo_bias_bpnet_8conv (Conv1D) (None, 1074, 512) 786944 ['add_6[0][0]'] wo_bias_bpnet_8crop (Cropping1 (None, 1074, 512) 0 ['add_6[0][0]'] D) add_7 (Add) (None, 1074, 512) 0 ['wo_bias_bpnet_8conv[0][0]', 'wo_bias_bpnet_8crop[0][0]'] wo_bias_bpnet_prof_out_precrop (None, 1000, 1) 38401 ['add_7[0][0]'] (Conv1D) wo_bias_bpnet_logitt_before_fl (None, 1000, 1) 0 ['wo_bias_bpnet_prof_out_precrop[ atten (Cropping1D) 0][0]'] gap (GlobalAveragePooling1D) (None, 512) 0 ['add_7[0][0]'] wo_bias_bpnet_logits_profile_p (None, 1000) 0 ['wo_bias_bpnet_logitt_before_fla redictions (Flatten) tten[0][0]'] wo_bias_bpnet_logcount_predict (None, 1) 513 ['gap[0][0]'] ions (Dense) ================================================================================================== Total params: 6,377,986 Trainable params: 6,377,986 Non-trainable params: 0 __________________________________________________________________________________________________ inferred model inputlen: 2114 Seqs dimension : (3123, 2114, 4) Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: StopGradient used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Generating 'profile' shap scores Done 0 examples of 3123 Done 100 examples of 3123 Done 200 examples of 3123 Done 300 examples of 3123 Done 400 examples of 3123 Done 500 examples of 3123 Done 600 examples of 3123 Done 700 examples of 3123 Done 800 examples of 3123 Done 900 examples of 3123 Done 1000 examples of 3123 Done 1100 examples of 3123 Done 1200 examples of 3123 Done 1300 examples of 3123 Done 1400 examples of 3123 Done 1500 examples of 3123 Done 1600 examples of 3123 Done 1700 examples of 3123 Done 1800 examples of 3123 Done 1900 examples of 3123 Done 2000 examples of 3123 Done 2100 examples of 3123 Done 2200 examples of 3123 Done 2300 examples of 3123 Done 2400 examples of 3123 Done 2500 examples of 3123 Done 2600 examples of 3123 Done 2700 examples of 3123 Done 2800 examples of 3123 Done 2900 examples of 3123 Done 3000 examples of 3123 Done 3100 examples of 3123 Saving 'profile' scores