Experiment overview
| Setting | Value |
|---|
| Model for non-random steps | BOTORCH_MODULAR |
| Max. nr. evaluations | 500 |
| Number random steps | 20 |
| Nr. of workers (parameter) | 20 |
| Main process memory (GB) | 20 |
| Worker memory (GB) | 40 |
Job Summary per Generation Node
| Generation Node | Total | COMPLETED |
|---|
| SOBOL | 20 | 20 |
Experiment parameters
| Name | Type | Lower bound | Upper bound | Values | Type | Log Scale? |
|---|
| epochs | range | 10 | 300 | | int | No |
| lr | range | 1e-06 | 0.001 | | float | Yes |
| batch_size | range | 8 | 1024 | | int | No |
| hidden_size | range | 8 | 4096 | | int | No |
| dropout | range | 0 | 0.5 | | float | No |
| activation | fixed | | | leaky_relu | | |
| num_dense_layers | range | 1 | 4 | | int | No |
| init | fixed | | | normal | | |
| weight_decay | fixed | | | 0 | | |
Number of evaluations
| Failed |
Succeeded |
Running |
Total |
| 0 |
20 |
0 |
20 |
Result names and types
| name | min/max |
|---|
| VAL_ACC |
max |
| RUNTIME |
min |
Last progressbar status
2025-08-11 14:07:52: Sobol, 20 done, waiting for 1 job, finished 1 job
Git-Version
Commit: 2b5be9ff0e2f0e795dcc93ccb00399ed28314a0c (7773-1-g2b5be9ff0)
trial_index,submit_time,queue_time,start_time,end_time,run_time,program_string,exit_code,signal,hostname,OO_Info_SLURM_JOB_ID,arm_name,trial_status,generation_node,VAL_ACC,RUNTIME,epochs,lr,batch_size,hidden_size,dropout,num_dense_layers,activation,init,weight_decay
0,1754912100,37,1754912137,1754912235,98,python3 .tests/mnist/train --epochs 11 --learning_rate 0.00005590335780640543 --batch_size 982 --hidden_size 1547 --dropout 0.49246773123741149902 --activation leaky_relu --num_dense_layers 2 --init normal --weight_decay 0,0,,c30,600649,0_0,COMPLETED,SOBOL,95.07999999999999829469743417576,85.959999999999993747223925311118,11,0.000055903357806405425112477453,982,1547,0.4924677312374114990234375,2,leaky_relu,normal,0
1,1754912116,45,1754912161,1754913564,1403,python3 .tests/mnist/train --epochs 227 --learning_rate 0.00001566054947167076 --batch_size 210 --hidden_size 2112 --dropout 0.19460003450512886047 --activation leaky_relu --num_dense_layers 4 --init normal --weight_decay 0,0,,c69,600656,1_0,COMPLETED,SOBOL,98.340000000000003410605131648481,1393.057999999999992724042385816574,227,0.000015660549471670755033135547,210,2112,0.1946000345051288604736328125,4,leaky_relu,normal,0
2,1754912101,27,1754912128,1754913473,1345,python3 .tests/mnist/train --epochs 246 --learning_rate 0.00027090735555770315 --batch_size 737 --hidden_size 160 --dropout 0.10863505303859710693 --activation leaky_relu --num_dense_layers 3 --init normal --weight_decay 0,0,,c6,600647,2_0,COMPLETED,SOBOL,98.150000000000005684341886080801,1333.626999999999952706275507807732,246,0.00027090735555770315305321172,737,160,0.10863505303859710693359375,3,leaky_relu,normal,0
3,1754912100,32,1754912132,1754912903,771,python3 .tests/mnist/train --epochs 137 --learning_rate 0.0000055389279118728 --batch_size 453 --hidden_size 3748 --dropout 0.32831682963296771049 --activation leaky_relu --num_dense_layers 1 --init normal --weight_decay 0,0,,c123,600642,3_0,COMPLETED,SOBOL,97.150000000000005684341886080801,756.69100000000003092281986027956,137,0.00000553892791187280111913022,453,3748,0.328316829632967710494995117188,1,leaky_relu,normal,0
4,1754912116,78,1754912194,1754913040,846,python3 .tests/mnist/train --epochs 106 --learning_rate 0.00061217504178820675 --batch_size 55 --hidden_size 3120 --dropout 0.28602366847917437553 --activation leaky_relu --num_dense_layers 2 --init normal --weight_decay 0,0,,c139,600657,4_0,COMPLETED,SOBOL,73.730000000000003979039320256561,833.538000000000010913936421275139,106,0.000612175041788206751244838522,55,3120,0.286023668479174375534057617188,2,leaky_relu,normal,0
5,1754912116,45,1754912161,1754913656,1495,python3 .tests/mnist/train --epochs 276 --learning_rate 0.00000220028765349704 --batch_size 820 --hidden_size 542 --dropout 0.02727957069873809814 --activation leaky_relu --num_dense_layers 4 --init normal --weight_decay 0,0,,c14,600655,5_0,COMPLETED,SOBOL,93.870000000000004547473508864641,1479.692999999999983629095368087292,276,0.000002200287653497037160569508,820,542,0.02727957069873809814453125,4,leaky_relu,normal,0
6,1754912101,50,1754912151,1754913125,974,python3 .tests/mnist/train --epochs 160 --learning_rate 0.00014073682671739303 --batch_size 298 --hidden_size 2742 --dropout 0.17536951974034309387 --activation leaky_relu --num_dense_layers 3 --init normal --weight_decay 0,0,,c39,600654,6_0,COMPLETED,SOBOL,98.099999999999994315658113919199,964.259999999999990905052982270718,160,0.000140736826717393031897784805,298,2742,0.1753695197403430938720703125,3,leaky_relu,normal,0
7,1754912100,33,1754912133,1754912590,457,python3 .tests/mnist/train --epochs 77 --learning_rate 0.00000692921834132457 --batch_size 574 --hidden_size 1167 --dropout 0.38730000285431742668 --activation leaky_relu --num_dense_layers 1 --init normal --weight_decay 0,0,,c32,600645,7_0,COMPLETED,SOBOL,94.17000000000000170530256582424,445.300999999999987721821526065469,77,0.000006929218341324574570536804,574,1167,0.387300002854317426681518554688,1,leaky_relu,normal,0
8,1754912100,31,1754912131,1754912436,305,python3 .tests/mnist/train --epochs 48 --learning_rate 0.0003778137821295804 --batch_size 387 --hidden_size 942 --dropout 0.2429147232323884964 --activation leaky_relu --num_dense_layers 1 --init normal --weight_decay 0,0,,c55,600644,8_0,COMPLETED,SOBOL,98.379999999999995452526491135359,291.220000000000027284841053187847,48,0.00037781378212958040318028563,387,942,0.24291472323238849639892578125,1,leaky_relu,normal,0
9,1754912100,32,1754912132,1754913272,1140,python3 .tests/mnist/train --epochs 189 --learning_rate 0.00000319247842459421 --batch_size 611 --hidden_size 3476 --dropout 0.44501849031075835228 --activation leaky_relu --num_dense_layers 3 --init normal --weight_decay 0,0,,c123,600643,9_0,COMPLETED,SOBOL,97.57999999999999829469743417576,1122.866999999999961801222525537014,189,0.000003192478424594208869836693,611,3476,0.445018490310758352279663085938,3,leaky_relu,normal,0
10,1754912100,42,1754912142,1754914017,1875,python3 .tests/mnist/train --epochs 283 --learning_rate 0.0000328524133619668 --batch_size 124 --hidden_size 1340 --dropout 0.35916830739006400108 --activation leaky_relu --num_dense_layers 4 --init normal --weight_decay 0,0,,c134,600641,10_0,COMPLETED,SOBOL,98.39000000000000056843418860808,1864.944999999999936335370875895023,283,0.000032852413361966797044830257,124,1340,0.359168307390064001083374023438,4,leaky_relu,normal,0
11,1754912101,19,1754912120,1754912706,586,python3 .tests/mnist/train --epochs 100 --learning_rate 0.00002138405806912986 --batch_size 877 --hidden_size 2831 --dropout 0.07887887023389339447 --activation leaky_relu --num_dense_layers 2 --init normal --weight_decay 0,0,,c20,600646,11_0,COMPLETED,SOBOL,98.299999999999997157829056959599,572.495000000000004547473508864641,100,0.000021384058069129861372496479,877,2831,0.07887887023389339447021484375,2,leaky_relu,normal,0
12,1754912101,56,1754912157,1754912976,819,python3 .tests/mnist/train --epochs 144 --learning_rate 0.00008158786047757795 --batch_size 648 --hidden_size 2439 --dropout 0.03523524664342403412 --activation leaky_relu --num_dense_layers 1 --init normal --weight_decay 0,0,,c110,600653,12_0,COMPLETED,SOBOL,98.32999999999999829469743417576,804.21699999999998453859006986022,144,0.000081587860477577947462650421,648,2439,0.03523524664342403411865234375,1,leaky_relu,normal,0
13,1754912100,63,1754912163,1754913577,1414,python3 .tests/mnist/train --epochs 240 --learning_rate 0.0000095915535420234 --batch_size 415 --hidden_size 1982 --dropout 0.27646248182281851768 --activation leaky_relu --num_dense_layers 3 --init normal --weight_decay 0,0,,c138,600652,13_0,COMPLETED,SOBOL,98.299999999999997157829056959599,1398.465999999999894498614594340324,240,0.000009591553542023404394108697,415,1982,0.276462481822818517684936523438,3,leaky_relu,normal,0
14,1754912100,22,1754912122,1754913308,1186,python3 .tests/mnist/train --epochs 197 --learning_rate 0.00084236655712191446 --batch_size 913 --hidden_size 3870 --dropout 0.42518531298264861107 --activation leaky_relu --num_dense_layers 4 --init normal --weight_decay 0,0,,c64,600648,14_0,COMPLETED,SOBOL,11.34999999999999964472863211995,1174.505000000000109139364212751389,197,0.000842366557121914457002820331,913,3870,0.425185312982648611068725585938,4,leaky_relu,normal,0
15,1754912100,76,1754912176,1754912451,275,python3 .tests/mnist/train --epochs 41 --learning_rate 0.00000128528755622657 --batch_size 152 --hidden_size 302 --dropout 0.13714422471821308136 --activation leaky_relu --num_dense_layers 2 --init normal --weight_decay 0,0,,c92,600651,15_0,COMPLETED,SOBOL,86.819999999999993178789736703038,263.473999999999989540810929611325,41,0.000001285287556226574079030686,152,302,0.13714422471821308135986328125,2,leaky_relu,normal,0
16,1754912163,36,1754912199,1754912406,207,python3 .tests/mnist/train --epochs 29 --learning_rate 0.00068772325876085129 --batch_size 609 --hidden_size 2663 --dropout 0.3256071796640753746 --activation leaky_relu --num_dense_layers 3 --init normal --weight_decay 0,0,,c136,600660,16_0,COMPLETED,SOBOL,68.700000000000002842170943040401,194.389999999999986357579473406076,29,0.000687723258760851289574100864,609,2663,0.325607179664075374603271484375,3,leaky_relu,normal,0
17,1754912164,62,1754912226,1754913369,1143,python3 .tests/mnist/train --epochs 207 --learning_rate 0.00000107811591160091 --batch_size 329 --hidden_size 1124 --dropout 0.11172380344942212105 --activation leaky_relu --num_dense_layers 1 --init normal --weight_decay 0,0,,c105,600663,17_0,COMPLETED,SOBOL,93.200000000000002842170943040401,1132.796000000000049112713895738125,207,0.000001078115911600909219240636,329,1124,0.111723803449422121047973632812,1,leaky_relu,normal,0
18,1754912163,31,1754912194,1754913485,1291,python3 .tests/mnist/train --epochs 229 --learning_rate 0.00009468648353152058 --batch_size 856 --hidden_size 3324 --dropout 0.21299943001940846443 --activation leaky_relu --num_dense_layers 2 --init normal --weight_decay 0,0,,c54,600661,18_0,COMPLETED,SOBOL,98.340000000000003410605131648481,1279.587999999999965439201332628727,229,0.000094686483531520576465735639,856,3324,0.212999430019408464431762695312,2,leaky_relu,normal,0
19,1754912164,29,1754912193,1754913278,1085,python3 .tests/mnist/train --epochs 154 --learning_rate 0.00001083366091732754 --batch_size 79 --hidden_size 711 --dropout 0.47369688283652067184 --activation leaky_relu --num_dense_layers 4 --init normal --weight_decay 0,0,,c3,600662,19_0,COMPLETED,SOBOL,98.099999999999994315658113919199,1073.24299999999993815436027944088,154,0.000010833660917327535494827928,79,711,0.473696882836520671844482421875,4,leaky_relu,normal,0
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Run-UUID: f1d97616-7751-420a-8998-34ba0bd57b11
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| OmniOpt2 - Makes grid search look like it's still |
| on dial-up. |
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⠋ Writing worker creation log...
omniopt --partition=alpha --experiment_name=mnist_multi --mem_gb=40 --time=2880 --worker_timeout=120 --max_eval=500 --num_parallel_jobs=20 --gpus=1 --num_random_steps=20 --follow --live_share --send_anonymized_usage_stats --result_names VAL_ACC=max RUNTIME=min --run_program=cHl0aG9uMyAudGVzdHMvbW5pc3QvdHJhaW4gLS1lcG9jaHMgJWVwb2NocyAtLWxlYXJuaW5nX3JhdGUgJWxyIC0tYmF0Y2hfc2l6ZSAlYmF0Y2hfc2l6ZSAtLWhpZGRlbl9zaXplICVoaWRkZW5fc2l6ZSAtLWRyb3BvdXQgJWRyb3BvdXQgLS1hY3RpdmF0aW9uICVhY3RpdmF0aW9uIC0tbnVtX2RlbnNlX2xheWVycyAlbnVtX2RlbnNlX2xheWVycyAtLWluaXQgJWluaXQgLS13ZWlnaHRfZGVjYXkgJXdlaWdodF9kZWNheQ== --cpus_per_task=1 --nodes_per_job=1 --revert_to_random_when_seemingly_exhausted --model=BOTORCH_MODULAR --n_estimators_randomforest=100 --run_mode=local --occ_type=euclid --main_process_gb=20 --max_nr_of_zero_results=50 --slurm_signal_delay_s=0 --max_failed_jobs=0 --max_attempts_for_generation=20 --num_restarts=20 --raw_samples=1024 --max_abandoned_retrial=20 --max_num_of_parallel_sruns=16 --generate_all_jobs_at_once --parameter epochs range 10 300 int false --parameter lr range 0.000001 0.001 float true --parameter batch_size range 8 1024 int false --parameter hidden_size range 8 4096 int false --parameter dropout range 0 0.5 float false --parameter activation fixed leaky_relu --parameter num_dense_layers range 1 4 int false --parameter init fixed normal --parameter weight_decay fixed 0 --ui_url aHR0cHM6Ly9pbWFnZXNlZy5zY2Fkcy5kZS9vbW5pYXgvZ3VpP3BhcnRpdGlvbj1hbHBoYSZleHBlcmltZW50X25hbWU9bW5pc3RfbXVsdGkmcmVzZXJ2YXRpb249JmFjY291bnQ9Jm1lbV9nYj00MCZ0aW1lPTI4ODAmd29ya2VyX3RpbWVvdXQ9MTIwJm1heF9ldmFsPTUwMCZudW1fcGFyYWxsZWxfam9icz0yMCZncHVzPTEmbnVtX3JhbmRvbV9zdGVwcz0yMCZmb2xsb3c9MSZsaXZlX3NoYXJlPTEmc2VuZF9hbm9ueW1pemVkX3VzYWdlX3N0YXRzPTEmY29uc3RyYWludHM9JnJlc3VsdF9uYW1lcz1WQUxfQUNDJTNEbWF4JTIwUlVOVElNRSUzRG1pbiZydW5fcHJvZ3JhbT1weXRob24zJTIwLnRlc3RzJTJGbW5pc3QlMkZ0cmFpbiUyMC0tZXBvY2hzJTIwJTI1ZXBvY2hzJTIwLS1sZWFybmluZ19yYXRlJTIwJTI1bHIlMjAtLWJhdGNoX3NpemUlMjAlMjViYXRjaF9zaXplJTIwLS1oaWRkZW5fc2l6ZSUyMCUyNWhpZGRlbl9zaXplJTIwLS1kcm9wb3V0JTIwJTI1ZHJvcG91dCUyMC0tYWN0aXZhdGlvbiUyMCUyNWFjdGl2YXRpb24lMjAtLW51bV9kZW5zZV9sYXllcnMlMjAlMjVudW1fZGVuc2VfbGF5ZXJzJTIwLS1pbml0JTIwJTI1aW5pdCUyMC0td2VpZ2h0X2RlY2F5JTIwJTI1d2VpZ2h0X2RlY2F5JnJ1bl9wcm9ncmFtX29uY2U9JmNwdXNfcGVyX3Rhc2s9MSZub2Rlc19wZXJfam9iPTEmc2VlZD0mZHJ5cnVuPTAmZGVidWc9MCZyZXZlcnRfdG9fcmFuZG9tX3doZW5fc2VlbWluZ2x5X2V4aGF1c3RlZD0xJmdyaWRzZWFyY2g9MCZtb2RlbD1CT1RPUkNIX01PRFVMQVImZXh0ZXJuYWxfZ2VuZXJhdG9yPSZuX2VzdGltYXRvcnNfcmFuZG9tZm9yZXN0PTEwMCZpbnN0YWxsYXRpb25fbWV0aG9kPWNsb25lJnJ1bl9tb2RlPWxvY2FsJmRpc2FibGVfdHFkbT0wJnZlcmJvc2VfdHFkbT0wJmZvcmNlX2xvY2FsX2V4ZWN1dGlvbj0wJmF1dG9fZXhjbHVkZV9kZWZlY3RpdmVfaG9zdHM9MCZzaG93X3NpeGVsX2dlbmVyYWw9MCZzaG93X3NpeGVsX3RyaWFsX2luZGV4X3Jlc3VsdD0wJnNob3dfc2l4ZWxfc2NhdHRlcj0wJnNob3dfd29ya2VyX3BlcmNlbnRhZ2VfdGFibGVfYXRfZW5kPTAmb2NjPTAmb2NjX3R5cGU9ZXVjbGlkJm5vX3NsZWVwPTAmc2x1cm1fdXNlX3NydW49MCZ2ZXJib3NlX2JyZWFrX3J1bl9zZWFyY2hfdGFibGU9MCZhYmJyZXZpYXRlX2pvYl9uYW1lcz0wJm1haW5fcHJvY2Vzc19nYj0yMCZtYXhfbnJfb2ZfemVyb19yZXN1bHRzPTUwJnNsdXJtX3NpZ25hbF9kZWxheV9zPTAmbWF4X2ZhaWxlZF9qb2JzPTAmZXhjbHVkZT0mdXNlcm5hbWU9JmdlbmVyYXRpb25fc3RyYXRlZ3k9JnJvb3RfdmVudl9kaXI9JmRlcGVuZGVuY3k9JndvcmtkaXI9JmRvbnRfaml0X2NvbXBpbGU9MCZmaXRfb3V0X29mX2Rlc2lnbj0wJnJlZml0X29uX2N2PTAmc2hvd19nZW5lcmF0ZV90aW1lX3RhYmxlPTAmZG9udF93YXJtX3N0YXJ0X3JlZml0dGluZz0wJm1heF9hdHRlbXB0c19mb3JfZ2VuZXJhdGlvbj0yMCZudW1fcmVzdGFydHM9MjAmcmF3X3NhbXBsZXM9MTAyNCZtYXhfYWJhbmRvbmVkX3JldHJpYWw9MjAmbWF4X251bV9vZl9wYXJhbGxlbF9zcnVucz0xNiZmb3JjZV9jaG9pY2VfZm9yX3Jhbmdlcz0wJm5vX3RyYW5zZm9ybV9pbnB1dHM9MCZmaXRfYWJhbmRvbmVkPTAmbm9fbm9ybWFsaXplX3k9MCZ2ZXJib3NlPTAmZ2VuZXJhdGVfYWxsX2pvYnNfYXRfb25jZT0xJmZsYW1lX2dyYXBoPTAmY2hlY2tvdXRfdG9fbGF0ZXN0X3Rlc3RlZF92ZXJzaW9uPTAmcGFyYW1ldGVyXzBfbmFtZT1lcG9jaHMmcGFyYW1ldGVyXzBfdHlwZT1yYW5nZSZwYXJhbWV0ZXJfMF9taW49MTAmcGFyYW1ldGVyXzBfbWF4PTMwMCZwYXJhbWV0ZXJfMF9udW1iZXJfdHlwZT1pbnQmcGFyYW1ldGVyXzBfbG9nX3NjYWxlPWZhbHNlJnBhcmFtZXRlcl8xX25hbWU9bHImcGFyYW1ldGVyXzFfdHlwZT1yYW5nZSZwYXJhbWV0ZXJfMV9taW49MC4wMDAwMDEmcGFyYW1ldGVyXzFfbWF4PTAuMDAxJnBhcmFtZXRlcl8xX251bWJlcl90eXBlPWZsb2F0JnBhcmFtZXRlcl8xX2xvZ19zY2FsZT10cnVlJnBhcmFtZXRlcl8yX25hbWU9YmF0Y2hfc2l6ZSZwYXJhbWV0ZXJfMl90eXBlPXJhbmdlJnBhcmFtZXRlcl8yX21pbj04JnBhcmFtZXRlcl8yX21heD0xMDI0JnBhcmFtZXRlcl8yX251bWJlcl90eXBlPWludCZwYXJhbWV0ZXJfMl9sb2dfc2NhbGU9ZmFsc2UmcGFyYW1ldGVyXzNfbmFtZT1oaWRkZW5fc2l6ZSZwYXJhbWV0ZXJfM190eXBlPXJhbmdlJnBhcmFtZXRlcl8zX21pbj04JnBhcmFtZXRlcl8zX21heD00MDk2JnBhcmFtZXRlcl8zX251bWJlcl90eXBlPWludCZwYXJhbWV0ZXJfM19sb2dfc2NhbGU9ZmFsc2UmcGFyYW1ldGVyXzRfbmFtZT1kcm9wb3V0JnBhcmFtZXRlcl80X3R5cGU9cmFuZ2UmcGFyYW1ldGVyXzRfbWluPTAmcGFyYW1ldGVyXzRfbWF4PTAuNSZwYXJhbWV0ZXJfNF9udW1iZXJfdHlwZT1mbG9hdCZwYXJhbWV0ZXJfNF9sb2dfc2NhbGU9ZmFsc2UmcGFyYW1ldGVyXzVfbmFtZT1hY3RpdmF0aW9uJnBhcmFtZXRlcl81X3R5cGU9Zml4ZWQmcGFyYW1ldGVyXzVfdmFsdWU9bGVha3lfcmVsdSZwYXJhbWV0ZXJfNl9uYW1lPW51bV9kZW5zZV9sYXllcnMmcGFyYW1ldGVyXzZfdHlwZT1yYW5nZSZwYXJhbWV0ZXJfNl9taW49MSZwYXJhbWV0ZXJfNl9tYXg9NCZwYXJhbWV0ZXJfNl9udW1iZXJfdHlwZT1pbnQmcGFyYW1ldGVyXzZfbG9nX3NjYWxlPWZhbHNlJnBhcmFtZXRlcl83X25hbWU9aW5pdCZwYXJhbWV0ZXJfN190eXBlPWZpeGVkJnBhcmFtZXRlcl83X3ZhbHVlPW5vcm1hbCZwYXJhbWV0ZXJfOF9uYW1lPXdlaWdodF9kZWNheSZwYXJhbWV0ZXJfOF90eXBlPWZpeGVkJnBhcmFtZXRlcl84X3ZhbHVlPTAmcGFydGl0aW9uPWFscGhhJm51bV9wYXJhbWV0ZXJzPTk=
⠋ Disabling logging...
⠋ Setting run folder...
⠋ Creating folder /data/cat/ws/pwinkler-mnist_tst/omniopt/runs/mnist_multi/0...
⠋ Writing revert_to_random_when_seemingly_exhausted file ...
⠋ Writing username state file...
⠋ Writing result names file...
⠋ Writing result min/max file...
⠋ Saving state files...
Run-folder: /data/cat/ws/pwinkler-mnist_tst/omniopt/runs/mnist_multi/0
⠋ Printing run info...
⠋ Initializing NVIDIA-Logs...
⠋ Writing ui_url file if it is present...
⠋ Writing live_share file if it is present...
⠋ Writing job_start_time file...
⠼ Writing git info file...
⠋ Checking max_eval...
⠋ Calculating number of steps...
⠋ Adding excluded nodes...
⠋ Handling random steps...
⠋ Initializing ax_client...
[WARNING 08-11 13:18:29] ax.service.ax_client: Selecting a GenerationStrategy when using BatchTrials is in beta. Double check the recommended strategy matches your expectations.
⠋ Setting orchestrator...
You have 1 CPUs available for the main process. Using CUDA device NVIDIA H100. Generation strategy: SOBOL for 20 steps and then BOTORCH_MODULAR for 480 steps.
Run-Program: python3 .tests/mnist/train --epochs %epochs --learning_rate %lr --batch_size %batch_size --hidden_size %hidden_size --dropout %dropout --activation %activation --num_dense_layers %num_dense_layers --init %init --weight_decay %weight_decay
Experiment parameters
┏━━━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━┓
┃ Name ┃ Type ┃ Lower bound ┃ Upper bound ┃ Values ┃ Type ┃ Log Scale? ┃
┡━━━━━━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━┩
│ epochs │ range │ 10 │ 300 │ │ int │ No │
│ lr │ range │ 1e-06 │ 0.001 │ │ float │ Yes │
│ batch_size │ range │ 8 │ 1024 │ │ int │ No │
│ hidden_size │ range │ 8 │ 4096 │ │ int │ No │
│ dropout │ range │ 0 │ 0.5 │ │ float │ No │
│ activation │ fixed │ │ │ leaky_relu │ │ │
│ num_dense_layers │ range │ 1 │ 4 │ │ int │ No │
│ init │ fixed │ │ │ normal │ │ │
│ weight_decay │ fixed │ │ │ 0 │ │ │
└──────────────────┴───────┴─────────────┴─────────────┴────────────┴───────┴────────────┘
Result-Names
┏━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃ Result-Name ┃ Min or max? ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ VAL_ACC │ max │
│ RUNTIME │ min │
└─────────────┴─────────────┘
See https://imageseg.scads.de/omniax/share?user_id=pwinkler&experiment_name=mnist_multi&run_nr=1 for live-results.
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Sobol, getting new HP set #4/20: 0%|░░░░░░░░░░| 0/500 [02:03
2025-08-11 13:18:45: SOBOL, Started OmniOpt2 run...
2025-08-11 13:19:16: Sobol, getting new HP set #1/20
2025-08-11 13:19:44: Sobol, getting new HP set #2/20
2025-08-11 13:20:17: Sobol, getting new HP set #3/20
2025-08-11 13:20:49: Sobol, getting new HP set #4/20
2025-08-11 13:21:30: Sobol, getting new HP set #5/20
2025-08-11 13:21:56: Sobol, getting new HP set #6/20
2025-08-11 13:22:19: Sobol, getting new HP set #7/20
2025-08-11 13:22:43: Sobol, getting new HP set #8/20
2025-08-11 13:23:11: Sobol, getting new HP set #9/20
2025-08-11 13:23:41: Sobol, getting new HP set #10/20
2025-08-11 13:24:10: Sobol, getting new HP set #11/20
2025-08-11 13:24:41: Sobol, getting new HP set #12/20
2025-08-11 13:25:07: Sobol, getting new HP set #13/20
2025-08-11 13:25:34: Sobol, getting new HP set #14/20
2025-08-11 13:26:01: Sobol, getting new HP set #15/20
2025-08-11 13:26:32: Sobol, getting new HP set #16/20
2025-08-11 13:27:02: Sobol, getting new HP set #17/20
2025-08-11 13:27:33: Sobol, getting new HP set #18/20
2025-08-11 13:28:08: Sobol, getting new HP set #19/20
2025-08-11 13:28:33: Sobol, getting new HP set #20/20
2025-08-11 13:29:01: Sobol, requested 20 jobs, got 20, 29.28 s/job
2025-08-11 13:29:12: Sobol, eval #1/20 start
2025-08-11 13:29:25: Sobol, eval #2/20 start
2025-08-11 13:29:36: Sobol, eval #3/20 start
2025-08-11 13:29:46: Sobol, eval #4/20 start
2025-08-11 13:30:02: Sobol, eval #5/20 start
2025-08-11 13:30:20: Sobol, eval #6/20 start
2025-08-11 13:30:35: Sobol, eval #7/20 start
2025-08-11 13:30:52: Sobol, eval #8/20 start
2025-08-11 13:31:08: Sobol, eval #9/20 start
2025-08-11 13:31:26: Sobol, eval #10/20 start
2025-08-11 13:31:43: Sobol, eval #11/20 start
2025-08-11 13:31:59: Sobol, eval #12/20 start
2025-08-11 13:32:15: Sobol, eval #13/20 start
2025-08-11 13:32:29: Sobol, eval #14/20 start
2025-08-11 13:32:44: Sobol, eval #15/20 start
2025-08-11 13:33:02: Sobol, eval #16/20 start
2025-08-11 13:33:17: Sobol, eval #17/20 start
2025-08-11 13:33:41: Sobol, eval #18/20 start
2025-08-11 13:34:00: Sobol, eval #19/20 start
2025-08-11 13:34:22: Sobol, eval #20/20 start
2025-08-11 13:34:37: Sobol, starting new job
2025-08-11 13:34:37: Sobol, starting new job
2025-08-11 13:34:37: Sobol, starting new job
2025-08-11 13:34:37: Sobol, starting new job
2025-08-11 13:34:37: Sobol, starting new job
2025-08-11 13:34:37: Sobol, starting new job
2025-08-11 13:34:37: Sobol, starting new job
2025-08-11 13:34:37: Sobol, starting new job
2025-08-11 13:34:37: Sobol, starting new job
2025-08-11 13:34:37: Sobol, starting new job
2025-08-11 13:34:37: Sobol, starting new job
2025-08-11 13:34:37: Sobol, starting new job
2025-08-11 13:34:37: Sobol, starting new job
2025-08-11 13:34:37: Sobol, starting new job
2025-08-11 13:34:38: Sobol, starting new job
2025-08-11 13:34:38: Sobol, starting new job
2025-08-11 13:35:02: Sobol, unknown 6 = ∑6/20, started new job
2025-08-11 13:35:02: Sobol, unknown 6 = ∑6/20, started new job
2025-08-11 13:35:03: Sobol, pending/running 3/5 = ∑8/20, started new job
2025-08-11 13:35:03: Sobol, pending/running 3/5 = ∑8/20, started new job
2025-08-11 13:35:03: Sobol, pending/running/unknown 3/5/1 = ∑9/20, started new job
2025-08-11 13:35:04: Sobol, pending/running/unknown 3/6/4 = ∑13/20, started new job
2025-08-11 13:35:04: Sobol, pending/running/unknown 3/6/4 = ∑13/20, started new job
2025-08-11 13:35:04: Sobol, pending/running/unknown 3/6/4 = ∑13/20, started new job
2025-08-11 13:35:04: Sobol, pending/running/unknown 3/6/4 = ∑13/20, started new job
2025-08-11 13:35:05: Sobol, pending/running/unknown 3/6/4 = ∑13/20, started new job
2025-08-11 13:35:05: Sobol, pending/running/unknown 3/6/4 = ∑13/20, started new job
2025-08-11 13:35:05: Sobol, pending/running/unknown 3/6/4 = ∑13/20, started new job
2025-08-11 13:35:05: Sobol, pending/running/unknown 3/6/4 = ∑13/20, started new job
2025-08-11 13:35:18: Sobol, running/pending/unknown 9/4/3 = ∑16/20, started new job
2025-08-11 13:35:18: Sobol, running/pending/unknown 9/4/3 = ∑16/20, started new job
2025-08-11 13:35:19: Sobol, running/pending/unknown 9/4/3 = ∑16/20, started new job
2025-08-11 13:35:29: Sobol, running/pending 9/7 = ∑16/20, starting new job
2025-08-11 13:35:29: Sobol, running/pending 9/7 = ∑16/20, starting new job
2025-08-11 13:35:29: Sobol, running/pending 9/7 = ∑16/20, starting new job
2025-08-11 13:35:34: Sobol, running/pending 9/7 = ∑16/20, starting new job
2025-08-11 13:36:05: Sobol, running/pending/unknown 15/1/4 = ∑20/20, started new job
2025-08-11 13:36:05: Sobol, running/pending/unknown 15/1/4 = ∑20/20, started new job
2025-08-11 13:36:05: Sobol, running/pending/unknown 15/1/4 = ∑20/20, started new job
2025-08-11 13:36:05: Sobol, running/pending/unknown 15/1/4 = ∑20/20, started new job
2025-08-11 13:36:34: Sobol, running/pending 19/1 = ∑20/20, waiting for 20 jobs
2025-08-11 13:36:51: Sobol, running/pending 19/1 = ∑20/20, waiting for 20 jobs
2025-08-11 13:37:06: Sobol, running 20 = ∑20/20, waiting for 20 jobs
2025-08-11 13:37:31: Sobol, running 20 = ∑20/20, new result: 95.08
2025-08-11 13:38:45: Sobol, 1 done, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-08-11 13:39:02: Sobol, 1 done, running 19 = ∑19/20, waiting for 19 jobs
2025-08-11 13:39:32: Sobol, 1 done, running 19 = ∑19/20, waiting for 19 jobs
2025-08-11 13:40:00: Sobol, 1 done, running 19 = ∑19/20, waiting for 19 jobs
2025-08-11 13:40:27: Sobol, 1 done, running 19 = ∑19/20, new result: 68.7
2025-08-11 13:41:59: Sobol, 2 done, running/completed 16/2 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-08-11 13:42:14: Sobol, 2 done, running/completed 16/2 = ∑18/20, waiting for 18 jobs
2025-08-11 13:42:30: Sobol, 2 done, running/completed 16/2 = ∑18/20, new result: 86.82
2025-08-11 13:42:30: Sobol, 2 done, running/completed 16/2 = ∑18/20, new result: 98.38
2025-08-11 13:44:01: Sobol, 4 done, running 16 = ∑16/20, waiting for 18 jobs, finished 2 jobs
2025-08-11 13:44:27: Sobol, 4 done, running 16 = ∑16/20, waiting for 16 jobs
2025-08-11 13:44:57: Sobol, 4 done, running 16 = ∑16/20, new result: 94.17
2025-08-11 13:46:37: Sobol, 5 done, running 15 = ∑15/20, waiting for 16 jobs, finished 1 job
2025-08-11 13:47:02: Sobol, 5 done, running 15 = ∑15/20, waiting for 15 jobs
2025-08-11 13:47:29: Sobol, 5 done, running/completed 14/1 = ∑15/20, new result: 98.3
2025-08-11 13:49:27: Sobol, 6 done, running 14 = ∑14/20, waiting for 15 jobs, finished 1 job
2025-08-11 13:49:45: Sobol, 6 done, running 14 = ∑14/20, waiting for 14 jobs
2025-08-11 13:50:22: Sobol, 6 done, running 14 = ∑14/20, new result: 97.15
2025-08-11 13:50:23: Sobol, 6 done, running 14 = ∑14/20, new result: 98.33
2025-08-11 13:51:45: Sobol, 8 done, running 12 = ∑12/20, waiting for 14 jobs, finished 2 jobs
2025-08-11 13:52:04: Sobol, 8 done, running 12 = ∑12/20, waiting for 12 jobs
2025-08-11 13:52:32: Sobol, 8 done, running 12 = ∑12/20, new result: 98.1
2025-08-11 13:52:32: Sobol, 8 done, running 12 = ∑12/20, new result: 73.73
2025-08-11 13:54:08: Sobol, 10 done, running 10 = ∑10/20, waiting for 12 jobs, finished 2 jobs
2025-08-11 13:54:35: Sobol, 10 done, running 10 = ∑10/20, waiting for 10 jobs
2025-08-11 13:55:02: Sobol, 10 done, running 10 = ∑10/20, new result: 98.1
2025-08-11 13:55:02: Sobol, 10 done, running 10 = ∑10/20, new result: 97.58
2025-08-11 13:56:43: Sobol, 12 done, running 8 = ∑8/20, waiting for 10 jobs, finished 2 jobs
2025-08-11 13:56:59: Sobol, 12 done, running 8 = ∑8/20, waiting for 8 jobs
2025-08-11 13:57:18: Sobol, 12 done, running 8 = ∑8/20, new result: 11.35
2025-08-11 13:57:19: Sobol, 12 done, running 8 = ∑8/20, new result: 93.2
2025-08-11 13:59:17: Sobol, 14 done, running/completed 4/2 = ∑6/20, waiting for 8 jobs, finished 2 jobs
2025-08-11 13:59:31: Sobol, 14 done, running/completed 4/2 = ∑6/20, waiting for 6 jobs
2025-08-11 13:59:48: Sobol, 14 done, running/completed 4/2 = ∑6/20, new result: 98.34
2025-08-11 13:59:48: Sobol, 14 done, running/completed 4/2 = ∑6/20, new result: 98.3
2025-08-11 13:59:49: Sobol, 14 done, running/completed 4/2 = ∑6/20, new result: 98.34
2025-08-11 13:59:49: Sobol, 14 done, running/completed 4/2 = ∑6/20, new result: 98.15
2025-08-11 14:01:41: Sobol, 18 done, running 2 = ∑2/20, waiting for 6 jobs, finished 4 jobs
2025-08-11 14:02:02: Sobol, 18 done, running 2 = ∑2/20, waiting for 2 jobs
2025-08-11 14:02:32: Sobol, 18 done, running 2 = ∑2/20, new result: 93.87
2025-08-11 14:03:56: Sobol, 19 done, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job
2025-08-11 14:04:21: Sobol, 19 done, running 1 = ∑1/20, waiting for 1 job
2025-08-11 14:04:42: Sobol, 19 done, running 1 = ∑1/20, waiting for 1 job
2025-08-11 14:05:10: Sobol, 19 done, running 1 = ∑1/20, waiting for 1 job
2025-08-11 14:05:32: Sobol, 19 done, running 1 = ∑1/20, waiting for 1 job
2025-08-11 14:05:54: Sobol, 19 done, running 1 = ∑1/20, waiting for 1 job
2025-08-11 14:06:28: Sobol, 19 done, running 1 = ∑1/20, waiting for 1 job
2025-08-11 14:06:51: Sobol, 19 done, running 1 = ∑1/20, waiting for 1 job
2025-08-11 14:07:09: Sobol, 19 done, running 1 = ∑1/20, new result: 98.39
2025-08-11 14:07:52: Sobol, 20 done, waiting for 1 job, finished 1 job
Arguments Overview
| Key | Value |
|---|
| config_yaml | None |
| config_toml | None |
| config_json | None |
| num_random_steps | 20 |
| max_eval | 500 |
| run_program | [['cHl0aG9uMyAudGVzdHMvbW5pc3QvdHJhaW4gLS1lcG9jaHMgJWVwb2NocyAtLWxlYXJuaW5nX3JhdGUgJWxyIC0tYmF0Y2hfc2l6ZSAlYmF0Y2hfc2l6ZSAtLWhpZGRlbl9zaXplICVoaWRkZW5f… |
| experiment_name | mnist_multi |
| mem_gb | 40 |
| parameter | [['epochs', 'range', '10', '300', 'int', 'false'], ['lr', 'range', '0.000001', '0.001', 'float', 'true'], ['batch_size', 'range', '8', '1024', 'int', |
| 'false'], ['hidden_size', 'range', '8', '4096', 'int', 'false'], ['dropout', 'range', '0', '0.5', 'float', 'false'], ['activation', 'fixed', |
| 'leaky_relu'], ['num_dense_layers', 'range', '1', '4', 'int', 'false'], ['init', 'fixed', 'normal'], ['weight_decay', 'fixed', '0']] |
| continue_previous_job | None |
| experiment_constraints | None |
| run_dir | runs |
| seed | None |
| verbose_tqdm | False |
| model | BOTORCH_MODULAR |
| gridsearch | False |
| occ | False |
| show_sixel_scatter | False |
| show_sixel_general | False |
| show_sixel_trial_index_result | False |
| follow | True |
| send_anonymized_usage_stats | True |
| ui_url | aHR0cHM6Ly9pbWFnZXNlZy5zY2Fkcy5kZS9vbW5pYXgvZ3VpP3BhcnRpdGlvbj1hbHBoYSZleHBlcmltZW50X25hbWU9bW5pc3RfbXVsdGkmcmVzZXJ2YXRpb249JmFjY291bnQ9Jm1lbV9nYj00MCZ… |
| root_venv_dir | /home/pwinkler |
| exclude | None |
| main_process_gb | 20 |
| max_nr_of_zero_results | 50 |
| abbreviate_job_names | False |
| orchestrator_file | None |
| checkout_to_latest_tested_version | False |
| live_share | True |
| disable_tqdm | False |
| disable_previous_job_constraint | False |
| workdir | |
| occ_type | euclid |
| result_names | ['VAL_ACC=max', 'RUNTIME=min'] |
| minkowski_p | 2 |
| signed_weighted_euclidean_weights | |
| generation_strategy | None |
| generate_all_jobs_at_once | True |
| revert_to_random_when_seemingly_exhausted | True |
| load_data_from_existing_jobs | [] |
| n_estimators_randomforest | 100 |
| max_attempts_for_generation | 20 |
| external_generator | None |
| username | None |
| max_failed_jobs | 0 |
| num_cpus_main_job | None |
| calculate_pareto_front_of_job | [] |
| show_generate_time_table | False |
| force_choice_for_ranges | False |
| max_abandoned_retrial | 20 |
| share_password | None |
| dryrun | False |
| db_url | None |
| run_program_once | None |
| dont_warm_start_refitting | False |
| refit_on_cv | False |
| fit_out_of_design | False |
| fit_abandoned | False |
| dont_jit_compile | False |
| num_restarts | 20 |
| raw_samples | 1024 |
| max_num_of_parallel_sruns | 16 |
| no_transform_inputs | False |
| no_normalize_y | False |
| transforms | [] |
| num_parallel_jobs | 20 |
| worker_timeout | 120 |
| slurm_use_srun | False |
| time | 2880 |
| partition | alpha |
| reservation | None |
| force_local_execution | False |
| slurm_signal_delay_s | 0 |
| nodes_per_job | 1 |
| cpus_per_task | 1 |
| account | None |
| gpus | 1 |
| run_mode | local |
| verbose | False |
| verbose_break_run_search_table | False |
| debug | False |
| flame_graph | False |
| no_sleep | False |
| tests | False |
| show_worker_percentage_table_at_end | False |
| auto_exclude_defective_hosts | False |
| run_tests_that_fail_on_taurus | False |
| raise_in_eval | False |
| show_ram_every_n_seconds | 0 |
| show_generation_and_submission_sixel | False |
| just_return_defaults | False |
| prettyprint | False |
1754911125.7132258,20,0,0
1754911140.7472334,20,0,0
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1754912102.9688647,20,10,50
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1754912103.2486105,20,11,55
1754912104.0097647,20,13,65
1754912104.0849743,20,13,65
1754912104.2159874,20,13,65
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1754912104.7808335,20,13,65
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1754912105.2502851,20,13,65
1754912105.2835574,20,13,65
1754912118.7061548,20,16,80
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1754912696.0404353,20,15,75
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timestamp,ram_usage_mb,cpu_usage_percent
1754911110,710.328125,24.4
1754911125,710.828125,22.4
1754911140,710.828125,22.6
1754911140,710.828125,29.4
1754911140,710.828125,22.2
1754911140,711.328125,21.2
1754911140,711.328125,35.7
1754912193,742.94921875,19.1
1754912193,742.94921875,23.5
1754912194,742.94921875,11.6
1754912194,742.94921875,20.0
1754912277,746.953125,18.2
1754912440,748.03125,38.9
1754912570,746.140625,40.0
1754912570,746.140625,30.0
1754912722,748.16015625,20.5
1754912870,748.94140625,66.7
1754912870,748.94140625,23.1
1754913048,748.96875,22.8
1754913048,748.96875,35.7
1754913048,748.96875,25.0
1754913181,751.0546875,25.5
1754913181,751.0546875,36.4
1754913181,751.0546875,24.2
1754913181,751.0546875,30.8
1754913328,749.11328125,15.9
1754913328,749.11328125,28.6
1754913328,749.11328125,15.9
1754913328,749.11328125,27.3
1754913468,747.07421875,19.7
1754913468,747.07421875,30.8
1754913468,747.07421875,14.9
1754913468,747.07421875,20.0
1754913601,748.58203125,22.2
1754913627,751.08203125,20.5
1754913627,751.08203125,22.7
1754913627,751.08203125,28.6
1754913628,751.08203125,24.3
1754913628,751.08203125,21.6
1754913628,751.08203125,21.4
1754913775,748.0,14.8
1754913775,748.0,14.3
1754914041,748.0,18.9
1754914041,748.0,23.1
VAL_ACC (goal: maximize)
Best value: 98.39
Achieved at:
- run_time = 1875
- RUNTIME = 1864.945
- epochs = 283
- lr = 3.2852413361967E-5
- batch_size = 124
- hidden_size = 1340
- dropout = 0.35916830739006
- num_dense_layers = 4
- weight_decay = 0
RUNTIME (goal: minimize)
Best value: 85.96
Achieved at:
- run_time = 98
- VAL_ACC = 95.08
- epochs = 11
- lr = 5.5903357806405E-5
- batch_size = 982
- hidden_size = 1547
- dropout = 0.49246773123741
- num_dense_layers = 2
- weight_decay = 0
Parameter statistics
| Parameter | Min | Max | Mean | Std Dev | Count |
|---|
| run_time | 98 | 1875 | 935.75 | 478.2474 | 20 |
| VAL_ACC | 11.35 | 98.39 | 89.719 | 19.7158 | 20 |
| RUNTIME | 85.96 | 1864.945 | 923.2167 | 478.4297 | 20 |
| epochs | 11 | 283 | 155.05 | 82.4175 | 20 |
| lr | 0 | 0.0008 | 0.0002 | 0.0003 | 20 |
| batch_size | 55 | 982 | 506.45 | 291.1332 | 20 |
| hidden_size | 160 | 3870 | 2007.1 | 1159.7663 | 20 |
| dropout | 0.0273 | 0.4925 | 0.2562 | 0.1429 | 20 |
| num_dense_layers | 1 | 4 | 2.5 | 1.118 | 20 |
| activation | No numerical statistics available |
| init | No numerical statistics available |
| weight_decay | 0 | 0 | 0 | 0 | 20 |
Show SLURM-Job-ID (if it exists)
submitit INFO (2025-08-11 13:35:17,540) - Starting with JobEnvironment(job_id=600641, hostname=c134, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-08-11 13:35:17,540) - Loading pickle: /data/cat/ws/pwinkler-mnist_tst/omniopt/runs/mnist_multi/0/single_runs/600641/600641_submitted.pkl
Parameters: {"epochs": 283, "lr": 3.28524133619668e-05, "batch_size": 124, "hidden_size": 1340, "dropout": 0.359168307390064, "num_dense_layers": 4, "activation": "leaky_relu", "init": "normal", "weight_decay": 0}
Debug-Infos:
========
DEBUG INFOS START:
Program-Code: python3 .tests/mnist/train --epochs 283 --learning_rate 0.0000328524133619668 --batch_size 124 --hidden_size 1340 --dropout 0.35916830739006400108 --activation leaky_relu --num_dense_layers 4 --init normal --weight_decay 0
pwd: /data/cat/ws/pwinkler-mnist_tst/omniopt
File: .tests/mnist/train
UID: 2054851
GID: 200270
SLURM_JOB_ID: 600641
Status-Change-Time: 1754566041.1413693
Size: 12647 Bytes
Permissions: -rwxr-xr-x
Owner: pwinkler
Last access: 1754907458.43776
Last modification: 1754566041.1413693
Hostname: c134
========
DEBUG INFOS END
python3 .tests/mnist/train --epochs 283 --learning_rate 0.0000328524133619668 --batch_size 124 --hidden_size 1340 --dropout 0.35916830739006400108 --activation leaky_relu --num_dense_layers 4 --init normal --weight_decay 0
stdout:
Available GPU memory: 0.00 MB reserved
Free GPU memory: 0.00 MB allocated
Max GPU memory allocated: 0.00 MB
Hyperparameters
╭──────────────────┬──────────────────────╮
│ Parameter │ Value │
├──────────────────┼──────────────────────┤
│ Epochs │ 283 │
│ Num Dense Layers │ 4 │
│ Batch size │ 124 │
│ Learning rate │ 3.28524133619668e-05 │
│ Hidden size │ 1340 │
│ Dropout │ 0.359168307390064 │
│ Optimizer │ adam │
│ Momentum │ 0.9 │
│ Weight Decay │ 0.0 │
│ Activation │ leaky_relu │
│ Init Method │ normal │
│ Seed │ None │
╰──────────────────┴──────────────────────╯
──────────────────────────── Epoch 1/283 - Training ────────────────────────────
Epoch-Loss: 852.3135166168213
─────────────────────────── Epoch 1/283 - Validation ───────────────────────────
╔══ Epoch 1/283 Summary ══╗
║ Validation Loss: 1.5592 ║
║ Accuracy: 90.71% ║
╚═════════════════════════╝
──────────────────────────── Epoch 2/283 - Training ────────────────────────────
Epoch-Loss: 757.9339998960495
─────────────────────────── Epoch 2/283 - Validation ───────────────────────────
╔══ Epoch 2/283 Summary ══╗
║ Validation Loss: 1.5345 ║
║ Accuracy: 92.98% ║
╚═════════════════════════╝
──────────────────────────── Epoch 3/283 - Training ────────────────────────────
Epoch-Loss: 746.9615108966827
─────────────────────────── Epoch 3/283 - Validation ───────────────────────────
╔══ Epoch 3/283 Summary ══╗
║ Validation Loss: 1.5214 ║
║ Accuracy: 94.38% ║
╚═════════════════════════╝
──────────────────────────── Epoch 4/283 - Training ────────────────────────────
Epoch-Loss: 740.3086524009705
─────────────────────────── Epoch 4/283 - Validation ───────────────────────────
╔══ Epoch 4/283 Summary ══╗
║ Validation Loss: 1.5138 ║
║ Accuracy: 94.97% ║
╚═════════════════════════╝
──────────────────────────── Epoch 5/283 - Training ────────────────────────────
Epoch-Loss: 735.8319752216339
─────────────────────────── Epoch 5/283 - Validation ───────────────────────────
╔══ Epoch 5/283 Summary ══╗
║ Validation Loss: 1.5084 ║
║ Accuracy: 95.41% ║
╚═════════════════════════╝
──────────────────────────── Epoch 6/283 - Training ────────────────────────────
Epoch-Loss: 732.397292137146
─────────────────────────── Epoch 6/283 - Validation ───────────────────────────
╔══ Epoch 6/283 Summary ══╗
║ Validation Loss: 1.5040 ║
║ Accuracy: 95.87% ║
╚═════════════════════════╝
──────────────────────────── Epoch 7/283 - Training ────────────────────────────
Epoch-Loss: 729.6933537721634
─────────────────────────── Epoch 7/283 - Validation ───────────────────────────
╔══ Epoch 7/283 Summary ══╗
║ Validation Loss: 1.4989 ║
║ Accuracy: 96.35% ║
╚═════════════════════════╝
──────────────────────────── Epoch 8/283 - Training ────────────────────────────
Epoch-Loss: 727.8361827135086
─────────────────────────── Epoch 8/283 - Validation ───────────────────────────
╔══ Epoch 8/283 Summary ══╗
║ Validation Loss: 1.4969 ║
║ Accuracy: 96.60% ║
╚═════════════════════════╝
──────────────────────────── Epoch 9/283 - Training ────────────────────────────
Epoch-Loss: 725.7700490951538
─────────────────────────── Epoch 9/283 - Validation ───────────────────────────
╔══ Epoch 9/283 Summary ══╗
║ Validation Loss: 1.4943 ║
║ Accuracy: 96.81% ║
╚═════════════════════════╝
─────────────────────────── Epoch 10/283 - Training ────────────────────────────
Epoch-Loss: 724.2436128854752
────────────────────────── Epoch 10/283 - Validation ───────────────────────────
╔═ Epoch 10/283 Summary ══╗
║ Validation Loss: 1.4939 ║
║ Accuracy: 96.87% ║
╚═════════════════════════╝
─────────────────────────── Epoch 11/283 - Training ────────────────────────────
Epoch-Loss: 723.3006325960159
────────────────────────── Epoch 11/283 - Validation ───────────────────────────
╔═ Epoch 11/283 Summary ══╗
║ Validation Loss: 1.4921 ║
║ Accuracy: 97.01% ║
╚═════════════════════════╝
─────────────────────────── Epoch 12/283 - Training ────────────────────────────
Epoch-Loss: 721.5370255708694
────────────────────────── Epoch 12/283 - Validation ───────────────────────────
╔═ Epoch 12/283 Summary ══╗
║ Validation Loss: 1.4897 ║
║ Accuracy: 97.27% ║
╚═════════════════════════╝
─────────────────────────── Epoch 13/283 - Training ────────────────────────────
Epoch-Loss: 720.922868013382
────────────────────────── Epoch 13/283 - Validation ───────────────────────────
╔═ Epoch 13/283 Summary ══╗
║ Validation Loss: 1.4895 ║
║ Accuracy: 97.26% ║
╚═════════════════════════╝
─────────────────────────── Epoch 14/283 - Training ────────────────────────────
Epoch-Loss: 719.9039949178696
────────────────────────── Epoch 14/283 - Validation ───────────────────────────
╔═ Epoch 14/283 Summary ══╗
║ Validation Loss: 1.4877 ║
║ Accuracy: 97.43% ║
╚═════════════════════════╝
─────────────────────────── Epoch 15/283 - Training ────────────────────────────
Epoch-Loss: 719.2769170999527
────────────────────────── Epoch 15/283 - Validation ───────────────────────────
╔═ Epoch 15/283 Summary ══╗
║ Validation Loss: 1.4864 ║
║ Accuracy: 97.53% ║
╚═════════════════════════╝
─────────────────────────── Epoch 16/283 - Training ────────────────────────────
Epoch-Loss: 718.6703327894211
────────────────────────── Epoch 16/283 - Validation ───────────────────────────
╔═ Epoch 16/283 Summary ══╗
║ Validation Loss: 1.4866 ║
║ Accuracy: 97.47% ║
╚═════════════════════════╝
─────────────────────────── Epoch 17/283 - Training ────────────────────────────
Epoch-Loss: 717.8387517929077
────────────────────────── Epoch 17/283 - Validation ───────────────────────────
╔═ Epoch 17/283 Summary ══╗
║ Validation Loss: 1.4861 ║
║ Accuracy: 97.59% ║
╚═════════════════════════╝
─────────────────────────── Epoch 18/283 - Training ────────────────────────────
Epoch-Loss: 717.3295930624008
────────────────────────── Epoch 18/283 - Validation ───────────────────────────
╔═ Epoch 18/283 Summary ══╗
║ Validation Loss: 1.4848 ║
║ Accuracy: 97.69% ║
╚═════════════════════════╝
─────────────────────────── Epoch 19/283 - Training ────────────────────────────
Epoch-Loss: 716.7877340316772
────────────────────────── Epoch 19/283 - Validation ───────────────────────────
╔═ Epoch 19/283 Summary ══╗
║ Validation Loss: 1.4844 ║
║ Accuracy: 97.80% ║
╚═════════════════════════╝
─────────────────────────── Epoch 20/283 - Training ────────────────────────────
Epoch-Loss: 716.5029006004333
────────────────────────── Epoch 20/283 - Validation ───────────────────────────
╔═ Epoch 20/283 Summary ══╗
║ Validation Loss: 1.4834 ║
║ Accuracy: 97.83% ║
╚═════════════════════════╝
─────────────────────────── Epoch 21/283 - Training ────────────────────────────
Epoch-Loss: 715.630205154419
────────────────────────── Epoch 21/283 - Validation ───────────────────────────
╔═ Epoch 21/283 Summary ══╗
║ Validation Loss: 1.4824 ║
║ Accuracy: 97.94% ║
╚═════════════════════════╝
─────────────────────────── Epoch 22/283 - Training ────────────────────────────
Epoch-Loss: 715.5871651172638
────────────────────────── Epoch 22/283 - Validation ───────────────────────────
╔═ Epoch 22/283 Summary ══╗
║ Validation Loss: 1.4814 ║
║ Accuracy: 98.03% ║
╚═════════════════════════╝
─────────────────────────── Epoch 23/283 - Training ────────────────────────────
Epoch-Loss: 715.0961054563522
────────────────────────── Epoch 23/283 - Validation ───────────────────────────
╔═ Epoch 23/283 Summary ══╗
║ Validation Loss: 1.4823 ║
║ Accuracy: 97.93% ║
╚═════════════════════════╝
─────────────────────────── Epoch 24/283 - Training ────────────────────────────
Epoch-Loss: 714.5276242494583
────────────────────────── Epoch 24/283 - Validation ───────────────────────────
╔═ Epoch 24/283 Summary ══╗
║ Validation Loss: 1.4817 ║
║ Accuracy: 98.02% ║
╚═════════════════════════╝
─────────────────────────── Epoch 25/283 - Training ────────────────────────────
Epoch-Loss: 714.4598889350891
────────────────────────── Epoch 25/283 - Validation ───────────────────────────
╔═ Epoch 25/283 Summary ══╗
║ Validation Loss: 1.4813 ║
║ Accuracy: 98.02% ║
╚═════════════════════════╝
─────────────────────────── Epoch 26/283 - Training ────────────────────────────
Epoch-Loss: 714.2802455425262
────────────────────────── Epoch 26/283 - Validation ───────────────────────────
╔═ Epoch 26/283 Summary ══╗
║ Validation Loss: 1.4810 ║
║ Accuracy: 98.11% ║
╚═════════════════════════╝
─────────────────────────── Epoch 27/283 - Training ────────────────────────────
Epoch-Loss: 713.7313640117645
────────────────────────── Epoch 27/283 - Validation ───────────────────────────
╔═ Epoch 27/283 Summary ══╗
║ Validation Loss: 1.4817 ║
║ Accuracy: 97.97% ║
╚═════════════════════════╝
─────────────────────────── Epoch 28/283 - Training ────────────────────────────
Epoch-Loss: 713.519686460495
────────────────────────── Epoch 28/283 - Validation ───────────────────────────
╔═ Epoch 28/283 Summary ══╗
║ Validation Loss: 1.4811 ║
║ Accuracy: 98.04% ║
╚═════════════════════════╝
─────────────────────────── Epoch 29/283 - Training ────────────────────────────
Epoch-Loss: 713.4401296377182
────────────────────────── Epoch 29/283 - Validation ───────────────────────────
╔═ Epoch 29/283 Summary ══╗
║ Validation Loss: 1.4802 ║
║ Accuracy: 98.13% ║
╚═════════════════════════╝
─────────────────────────── Epoch 30/283 - Training ────────────────────────────
Epoch-Loss: 713.1247823238373
────────────────────────── Epoch 30/283 - Validation ───────────────────────────
╔═ Epoch 30/283 Summary ══╗
║ Validation Loss: 1.4804 ║
║ Accuracy: 98.12% ║
╚═════════════════════════╝
─────────────────────────── Epoch 31/283 - Training ────────────────────────────
Epoch-Loss: 712.788835644722
────────────────────────── Epoch 31/283 - Validation ───────────────────────────
╔═ Epoch 31/283 Summary ══╗
║ Validation Loss: 1.4802 ║
║ Accuracy: 98.15% ║
╚═════════════════════════╝
─────────────────────────── Epoch 32/283 - Training ────────────────────────────
Epoch-Loss: 712.7013109922409
────────────────────────── Epoch 32/283 - Validation ───────────────────────────
╔═ Epoch 32/283 Summary ══╗
║ Validation Loss: 1.4805 ║
║ Accuracy: 98.09% ║
╚═════════════════════════╝
─────────────────────────── Epoch 33/283 - Training ────────────────────────────
Epoch-Loss: 712.7700568437576
────────────────────────── Epoch 33/283 - Validation ───────────────────────────
╔═ Epoch 33/283 Summary ══╗
║ Validation Loss: 1.4812 ║
║ Accuracy: 98.02% ║
╚═════════════════════════╝
─────────────────────────── Epoch 34/283 - Training ────────────────────────────
Epoch-Loss: 712.6846026182175
────────────────────────── Epoch 34/283 - Validation ───────────────────────────
╔═ Epoch 34/283 Summary ══╗
║ Validation Loss: 1.4797 ║
║ Accuracy: 98.17% ║
╚═════════════════════════╝
─────────────────────────── Epoch 35/283 - Training ────────────────────────────
Epoch-Loss: 712.4006559848785
────────────────────────── Epoch 35/283 - Validation ───────────────────────────
╔═ Epoch 35/283 Summary ══╗
║ Validation Loss: 1.4802 ║
║ Accuracy: 98.10% ║
╚═════════════════════════╝
─────────────────────────── Epoch 36/283 - Training ────────────────────────────
Epoch-Loss: 712.0345351696014
────────────────────────── Epoch 36/283 - Validation ───────────────────────────
╔═ Epoch 36/283 Summary ══╗
║ Validation Loss: 1.4800 ║
║ Accuracy: 98.12% ║
╚═════════════════════════╝
─────────────────────────── Epoch 37/283 - Training ────────────────────────────
Epoch-Loss: 711.6690341234207
────────────────────────── Epoch 37/283 - Validation ───────────────────────────
╔═ Epoch 37/283 Summary ══╗
║ Validation Loss: 1.4794 ║
║ Accuracy: 98.19% ║
╚═════════════════════════╝
─────────────────────────── Epoch 38/283 - Training ────────────────────────────
Epoch-Loss: 711.8506520986557
────────────────────────── Epoch 38/283 - Validation ───────────────────────────
╔═ Epoch 38/283 Summary ══╗
║ Validation Loss: 1.4805 ║
║ Accuracy: 98.06% ║
╚═════════════════════════╝
─────────────────────────── Epoch 39/283 - Training ────────────────────────────
Epoch-Loss: 711.7825493812561
────────────────────────── Epoch 39/283 - Validation ───────────────────────────
╔═ Epoch 39/283 Summary ══╗
║ Validation Loss: 1.4782 ║
║ Accuracy: 98.30% ║
╚═════════════════════════╝
─────────────────────────── Epoch 40/283 - Training ────────────────────────────
Epoch-Loss: 711.4536309242249
────────────────────────── Epoch 40/283 - Validation ───────────────────────────
╔═ Epoch 40/283 Summary ══╗
║ Validation Loss: 1.4793 ║
║ Accuracy: 98.23% ║
╚═════════════════════════╝
─────────────────────────── Epoch 41/283 - Training ────────────────────────────
Epoch-Loss: 711.5428745746613
────────────────────────── Epoch 41/283 - Validation ───────────────────────────
╔═ Epoch 41/283 Summary ══╗
║ Validation Loss: 1.4791 ║
║ Accuracy: 98.26% ║
╚═════════════════════════╝
─────────────────────────── Epoch 42/283 - Training ────────────────────────────
Epoch-Loss: 711.4504156112671
────────────────────────── Epoch 42/283 - Validation ───────────────────────────
╔═ Epoch 42/283 Summary ══╗
║ Validation Loss: 1.4803 ║
║ Accuracy: 98.13% ║
╚═════════════════════════╝
─────────────────────────── Epoch 43/283 - Training ────────────────────────────
Epoch-Loss: 711.304963350296
────────────────────────── Epoch 43/283 - Validation ───────────────────────────
╔═ Epoch 43/283 Summary ══╗
║ Validation Loss: 1.4782 ║
║ Accuracy: 98.34% ║
╚═════════════════════════╝
─────────────────────────── Epoch 44/283 - Training ────────────────────────────
Epoch-Loss: 711.0630398988724
────────────────────────── Epoch 44/283 - Validation ───────────────────────────
╔═ Epoch 44/283 Summary ══╗
║ Validation Loss: 1.4784 ║
║ Accuracy: 98.27% ║
╚═════════════════════════╝
─────────────────────────── Epoch 45/283 - Training ────────────────────────────
Epoch-Loss: 711.0290242433548
────────────────────────── Epoch 45/283 - Validation ───────────────────────────
╔═ Epoch 45/283 Summary ══╗
║ Validation Loss: 1.4775 ║
║ Accuracy: 98.38% ║
╚═════════════════════════╝
─────────────────────────── Epoch 46/283 - Training ────────────────────────────
Epoch-Loss: 710.7746759653091
────────────────────────── Epoch 46/283 - Validation ───────────────────────────
╔═ Epoch 46/283 Summary ══╗
║ Validation Loss: 1.4779 ║
║ Accuracy: 98.39% ║
╚═════════════════════════╝
─────────────────────────── Epoch 47/283 - Training ────────────────────────────
Epoch-Loss: 710.7975344657898
────────────────────────── Epoch 47/283 - Validation ───────────────────────────
╔═ Epoch 47/283 Summary ══╗
║ Validation Loss: 1.4775 ║
║ Accuracy: 98.36% ║
╚═════════════════════════╝
─────────────────────────── Epoch 48/283 - Training ────────────────────────────
Epoch-Loss: 710.8041336536407
────────────────────────── Epoch 48/283 - Validation ───────────────────────────
╔═ Epoch 48/283 Summary ══╗
║ Validation Loss: 1.4781 ║
║ Accuracy: 98.30% ║
╚═════════════════════════╝
─────────────────────────── Epoch 49/283 - Training ────────────────────────────
Epoch-Loss: 710.7795214653015
────────────────────────── Epoch 49/283 - Validation ───────────────────────────
╔═ Epoch 49/283 Summary ══╗
║ Validation Loss: 1.4786 ║
║ Accuracy: 98.24% ║
╚═════════════════════════╝
─────────────────────────── Epoch 50/283 - Training ────────────────────────────
Epoch-Loss: 710.7597949504852
────────────────────────── Epoch 50/283 - Validation ───────────────────────────
╔═ Epoch 50/283 Summary ══╗
║ Validation Loss: 1.4795 ║
║ Accuracy: 98.17% ║
╚═════════════════════════╝
─────────────────────────── Epoch 51/283 - Training ────────────────────────────
Epoch-Loss: 710.6621794700623
────────────────────────── Epoch 51/283 - Validation ───────────────────────────
╔═ Epoch 51/283 Summary ══╗
║ Validation Loss: 1.4778 ║
║ Accuracy: 98.34% ║
╚═════════════════════════╝
─────────────────────────── Epoch 52/283 - Training ────────────────────────────
Epoch-Loss: 710.7916156053543
────────────────────────── Epoch 52/283 - Validation ───────────────────────────
╔═ Epoch 52/283 Summary ══╗
║ Validation Loss: 1.4774 ║
║ Accuracy: 98.38% ║
╚═════════════════════════╝
─────────────────────────── Epoch 53/283 - Training ────────────────────────────
Epoch-Loss: 710.3754031658173
────────────────────────── Epoch 53/283 - Validation ───────────────────────────
╔═ Epoch 53/283 Summary ══╗
║ Validation Loss: 1.4778 ║
║ Accuracy: 98.36% ║
╚═════════════════════════╝
─────────────────────────── Epoch 54/283 - Training ────────────────────────────
Epoch-Loss: 710.4784885644913
────────────────────────── Epoch 54/283 - Validation ───────────────────────────
╔═ Epoch 54/283 Summary ══╗
║ Validation Loss: 1.4790 ║
║ Accuracy: 98.25% ║
╚═════════════════════════╝
─────────────────────────── Epoch 55/283 - Training ────────────────────────────
Epoch-Loss: 710.3667610883713
────────────────────────── Epoch 55/283 - Validation ───────────────────────────
╔═ Epoch 55/283 Summary ══╗
║ Validation Loss: 1.4781 ║
║ Accuracy: 98.32% ║
╚═════════════════════════╝
─────────────────────────── Epoch 56/283 - Training ────────────────────────────
Epoch-Loss: 710.4559427499771
────────────────────────── Epoch 56/283 - Validation ───────────────────────────
╔═ Epoch 56/283 Summary ══╗
║ Validation Loss: 1.4781 ║
║ Accuracy: 98.29% ║
╚═════════════════════════╝
─────────────────────────── Epoch 57/283 - Training ────────────────────────────
Epoch-Loss: 710.3366709947586
────────────────────────── Epoch 57/283 - Validation ───────────────────────────
╔═ Epoch 57/283 Summary ══╗
║ Validation Loss: 1.4784 ║
║ Accuracy: 98.30% ║
╚═════════════════════════╝
─────────────────────────── Epoch 58/283 - Training ────────────────────────────
Epoch-Loss: 710.2667889595032
────────────────────────── Epoch 58/283 - Validation ───────────────────────────
╔═ Epoch 58/283 Summary ══╗
║ Validation Loss: 1.4780 ║
║ Accuracy: 98.27% ║
╚═════════════════════════╝
─────────────────────────── Epoch 59/283 - Training ────────────────────────────
Epoch-Loss: 710.1831269264221
────────────────────────── Epoch 59/283 - Validation ───────────────────────────
╔═ Epoch 59/283 Summary ══╗
║ Validation Loss: 1.4783 ║
║ Accuracy: 98.30% ║
╚═════════════════════════╝
─────────────────────────── Epoch 60/283 - Training ────────────────────────────
Epoch-Loss: 710.2607691287994
────────────────────────── Epoch 60/283 - Validation ───────────────────────────
╔═ Epoch 60/283 Summary ══╗
║ Validation Loss: 1.4778 ║
║ Accuracy: 98.34% ║
╚═════════════════════════╝
─────────────────────────── Epoch 61/283 - Training ────────────────────────────
Epoch-Loss: 710.1141980886459
────────────────────────── Epoch 61/283 - Validation ───────────────────────────
╔═ Epoch 61/283 Summary ══╗
║ Validation Loss: 1.4787 ║
║ Accuracy: 98.22% ║
╚═════════════════════════╝
─────────────────────────── Epoch 62/283 - Training ────────────────────────────
Epoch-Loss: 710.0390466451645
────────────────────────── Epoch 62/283 - Validation ───────────────────────────
╔═ Epoch 62/283 Summary ══╗
║ Validation Loss: 1.4778 ║
║ Accuracy: 98.34% ║
╚═════════════════════════╝
─────────────────────────── Epoch 63/283 - Training ────────────────────────────
Epoch-Loss: 710.0839414596558
────────────────────────── Epoch 63/283 - Validation ───────────────────────────
╔═ Epoch 63/283 Summary ══╗
║ Validation Loss: 1.4781 ║
║ Accuracy: 98.29% ║
╚═════════════════════════╝
─────────────────────────── Epoch 64/283 - Training ────────────────────────────
Epoch-Loss: 709.8494530916214
────────────────────────── Epoch 64/283 - Validation ───────────────────────────
╔═ Epoch 64/283 Summary ══╗
║ Validation Loss: 1.4772 ║
║ Accuracy: 98.42% ║
╚═════════════════════════╝
─────────────────────────── Epoch 65/283 - Training ────────────────────────────
Epoch-Loss: 709.7908478975296
────────────────────────── Epoch 65/283 - Validation ───────────────────────────
╔═ Epoch 65/283 Summary ══╗
║ Validation Loss: 1.4778 ║
║ Accuracy: 98.35% ║
╚═════════════════════════╝
─────────────────────────── Epoch 66/283 - Training ────────────────────────────
Epoch-Loss: 709.7717641592026
────────────────────────── Epoch 66/283 - Validation ───────────────────────────
╔═ Epoch 66/283 Summary ══╗
║ Validation Loss: 1.4785 ║
║ Accuracy: 98.21% ║
╚═════════════════════════╝
─────────────────────────── Epoch 67/283 - Training ────────────────────────────
Epoch-Loss: 709.7874439954758
────────────────────────── Epoch 67/283 - Validation ───────────────────────────
╔═ Epoch 67/283 Summary ══╗
║ Validation Loss: 1.4781 ║
║ Accuracy: 98.32% ║
╚═════════════════════════╝
─────────────────────────── Epoch 68/283 - Training ────────────────────────────
Epoch-Loss: 710.0153272151947
────────────────────────── Epoch 68/283 - Validation ───────────────────────────
╔═ Epoch 68/283 Summary ══╗
║ Validation Loss: 1.4775 ║
║ Accuracy: 98.34% ║
╚═════════════════════════╝
─────────────────────────── Epoch 69/283 - Training ────────────────────────────
Epoch-Loss: 709.7647348642349
────────────────────────── Epoch 69/283 - Validation ───────────────────────────
╔═ Epoch 69/283 Summary ══╗
║ Validation Loss: 1.4778 ║
║ Accuracy: 98.33% ║
╚═════════════════════════╝
─────────────────────────── Epoch 70/283 - Training ────────────────────────────
Epoch-Loss: 709.6725354194641
────────────────────────── Epoch 70/283 - Validation ───────────────────────────
╔═ Epoch 70/283 Summary ══╗
║ Validation Loss: 1.4787 ║
║ Accuracy: 98.21% ║
╚═════════════════════════╝
─────────────────────────── Epoch 71/283 - Training ────────────────────────────
Epoch-Loss: 709.9549434185028
────────────────────────── Epoch 71/283 - Validation ───────────────────────────
╔═ Epoch 71/283 Summary ══╗
║ Validation Loss: 1.4785 ║
║ Accuracy: 98.22% ║
╚═════════════════════════╝
─────────────────────────── Epoch 72/283 - Training ────────────────────────────
Epoch-Loss: 709.6333450078964
────────────────────────── Epoch 72/283 - Validation ───────────────────────────
╔═ Epoch 72/283 Summary ══╗
║ Validation Loss: 1.4778 ║
║ Accuracy: 98.35% ║
╚═════════════════════════╝
─────────────────────────── Epoch 73/283 - Training ────────────────────────────
Epoch-Loss: 709.6213663816452
────────────────────────── Epoch 73/283 - Validation ───────────────────────────
╔═ Epoch 73/283 Summary ══╗
║ Validation Loss: 1.4784 ║
║ Accuracy: 98.25% ║
╚═════════════════════════╝
─────────────────────────── Epoch 74/283 - Training ────────────────────────────
Epoch-Loss: 709.5598783493042
────────────────────────── Epoch 74/283 - Validation ───────────────────────────
╔═ Epoch 74/283 Summary ══╗
║ Validation Loss: 1.4765 ║
║ Accuracy: 98.44% ║
╚═════════════════════════╝
─────────────────────────── Epoch 75/283 - Training ────────────────────────────
Epoch-Loss: 709.4996218681335
────────────────────────── Epoch 75/283 - Validation ───────────────────────────
╔═ Epoch 75/283 Summary ══╗
║ Validation Loss: 1.4775 ║
║ Accuracy: 98.37% ║
╚═════════════════════════╝
─────────────────────────── Epoch 76/283 - Training ────────────────────────────
Epoch-Loss: 709.5929499864578
────────────────────────── Epoch 76/283 - Validation ───────────────────────────
╔═ Epoch 76/283 Summary ══╗
║ Validation Loss: 1.4780 ║
║ Accuracy: 98.33% ║
╚═════════════════════════╝
─────────────────────────── Epoch 77/283 - Training ────────────────────────────
Epoch-Loss: 709.6646231412888
────────────────────────── Epoch 77/283 - Validation ───────────────────────────
╔═ Epoch 77/283 Summary ══╗
║ Validation Loss: 1.4775 ║
║ Accuracy: 98.36% ║
╚═════════════════════════╝
─────────────────────────── Epoch 78/283 - Training ────────────────────────────
Epoch-Loss: 709.6461954116821
────────────────────────── Epoch 78/283 - Validation ───────────────────────────
╔═ Epoch 78/283 Summary ══╗
║ Validation Loss: 1.4780 ║
║ Accuracy: 98.30% ║
╚═════════════════════════╝
─────────────────────────── Epoch 79/283 - Training ────────────────────────────
Epoch-Loss: 709.4734802246094
────────────────────────── Epoch 79/283 - Validation ───────────────────────────
╔═ Epoch 79/283 Summary ══╗
║ Validation Loss: 1.4778 ║
║ Accuracy: 98.34% ║
╚═════════════════════════╝
─────────────────────────── Epoch 80/283 - Training ────────────────────────────
Epoch-Loss: 709.4715737104416
────────────────────────── Epoch 80/283 - Validation ───────────────────────────
╔═ Epoch 80/283 Summary ══╗
║ Validation Loss: 1.4772 ║
║ Accuracy: 98.39% ║
╚═════════════════════════╝
─────────────────────────── Epoch 81/283 - Training ────────────────────────────
Epoch-Loss: 709.5646938085556
────────────────────────── Epoch 81/283 - Validation ───────────────────────────
╔═ Epoch 81/283 Summary ══╗
║ Validation Loss: 1.4767 ║
║ Accuracy: 98.45% ║
╚═════════════════════════╝
─────────────────────────── Epoch 82/283 - Training ────────────────────────────
Epoch-Loss: 709.5775146484375
────────────────────────── Epoch 82/283 - Validation ───────────────────────────
╔═ Epoch 82/283 Summary ══╗
║ Validation Loss: 1.4767 ║
║ Accuracy: 98.44% ║
╚═════════════════════════╝
─────────────────────────── Epoch 83/283 - Training ────────────────────────────
Epoch-Loss: 709.4587751626968
────────────────────────── Epoch 83/283 - Validation ───────────────────────────
╔═ Epoch 83/283 Summary ══╗
║ Validation Loss: 1.4765 ║
║ Accuracy: 98.47% ║
╚═════════════════════════╝
─────────────────────────── Epoch 84/283 - Training ────────────────────────────
Epoch-Loss: 709.3439412117004
────────────────────────── Epoch 84/283 - Validation ───────────────────────────
╔═ Epoch 84/283 Summary ══╗
║ Validation Loss: 1.4767 ║
║ Accuracy: 98.45% ║
╚═════════════════════════╝
─────────────────────────── Epoch 85/283 - Training ────────────────────────────
Epoch-Loss: 709.5750840902328
────────────────────────── Epoch 85/283 - Validation ───────────────────────────
╔═ Epoch 85/283 Summary ══╗
║ Validation Loss: 1.4777 ║
║ Accuracy: 98.37% ║
╚═════════════════════════╝
─────────────────────────── Epoch 86/283 - Training ────────────────────────────
Epoch-Loss: 709.4644147157669
────────────────────────── Epoch 86/283 - Validation ───────────────────────────
╔═ Epoch 86/283 Summary ══╗
║ Validation Loss: 1.4772 ║
║ Accuracy: 98.43% ║
╚═════════════════════════╝
─────────────────────────── Epoch 87/283 - Training ────────────────────────────
Epoch-Loss: 709.4797563552856
────────────────────────── Epoch 87/283 - Validation ───────────────────────────
╔═ Epoch 87/283 Summary ══╗
║ Validation Loss: 1.4765 ║
║ Accuracy: 98.45% ║
╚═════════════════════════╝
─────────────────────────── Epoch 88/283 - Training ────────────────────────────
Epoch-Loss: 709.403423666954
────────────────────────── Epoch 88/283 - Validation ───────────────────────────
╔═ Epoch 88/283 Summary ══╗
║ Validation Loss: 1.4764 ║
║ Accuracy: 98.49% ║
╚═════════════════════════╝
─────────────────────────── Epoch 89/283 - Training ────────────────────────────
Epoch-Loss: 709.4883970022202
────────────────────────── Epoch 89/283 - Validation ───────────────────────────
╔═ Epoch 89/283 Summary ══╗
║ Validation Loss: 1.4764 ║
║ Accuracy: 98.47% ║
╚═════════════════════════╝
─────────────────────────── Epoch 90/283 - Training ────────────────────────────
Epoch-Loss: 709.2683572769165
────────────────────────── Epoch 90/283 - Validation ───────────────────────────
╔═ Epoch 90/283 Summary ══╗
║ Validation Loss: 1.4764 ║
║ Accuracy: 98.44% ║
╚═════════════════════════╝
─────────────────────────── Epoch 91/283 - Training ────────────────────────────
Epoch-Loss: 709.4011853933334
────────────────────────── Epoch 91/283 - Validation ───────────────────────────
╔═ Epoch 91/283 Summary ══╗
║ Validation Loss: 1.4777 ║
║ Accuracy: 98.32% ║
╚═════════════════════════╝
─────────────────────────── Epoch 92/283 - Training ────────────────────────────
Epoch-Loss: 709.3789600133896
────────────────────────── Epoch 92/283 - Validation ───────────────────────────
╔═ Epoch 92/283 Summary ══╗
║ Validation Loss: 1.4770 ║
║ Accuracy: 98.39% ║
╚═════════════════════════╝
─────────────────────────── Epoch 93/283 - Training ────────────────────────────
Epoch-Loss: 709.2546578645706
────────────────────────── Epoch 93/283 - Validation ───────────────────────────
╔═ Epoch 93/283 Summary ══╗
║ Validation Loss: 1.4761 ║
║ Accuracy: 98.51% ║
╚═════════════════════════╝
─────────────────────────── Epoch 94/283 - Training ────────────────────────────
Epoch-Loss: 709.4014550447464
────────────────────────── Epoch 94/283 - Validation ───────────────────────────
╔═ Epoch 94/283 Summary ══╗
║ Validation Loss: 1.4773 ║
║ Accuracy: 98.35% ║
╚═════════════════════════╝
─────────────────────────── Epoch 95/283 - Training ────────────────────────────
Epoch-Loss: 709.4992561340332
────────────────────────── Epoch 95/283 - Validation ───────────────────────────
╔═ Epoch 95/283 Summary ══╗
║ Validation Loss: 1.4772 ║
║ Accuracy: 98.39% ║
╚═════════════════════════╝
─────────────────────────── Epoch 96/283 - Training ────────────────────────────
Epoch-Loss: 709.3544173240662
────────────────────────── Epoch 96/283 - Validation ───────────────────────────
╔═ Epoch 96/283 Summary ══╗
║ Validation Loss: 1.4774 ║
║ Accuracy: 98.35% ║
╚═════════════════════════╝
─────────────────────────── Epoch 97/283 - Training ────────────────────────────
Epoch-Loss: 709.2339115142822
────────────────────────── Epoch 97/283 - Validation ───────────────────────────
╔═ Epoch 97/283 Summary ══╗
║ Validation Loss: 1.4777 ║
║ Accuracy: 98.34% ║
╚═════════════════════════╝
─────────────────────────── Epoch 98/283 - Training ────────────────────────────
Epoch-Loss: 709.1816289424896
────────────────────────── Epoch 98/283 - Validation ───────────────────────────
╔═ Epoch 98/283 Summary ══╗
║ Validation Loss: 1.4771 ║
║ Accuracy: 98.37% ║
╚═════════════════════════╝
─────────────────────────── Epoch 99/283 - Training ────────────────────────────
Epoch-Loss: 709.1796085834503
────────────────────────── Epoch 99/283 - Validation ───────────────────────────
╔═ Epoch 99/283 Summary ══╗
║ Validation Loss: 1.4773 ║
║ Accuracy: 98.35% ║
╚═════════════════════════╝
─────────────────────────── Epoch 100/283 - Training ───────────────────────────
Epoch-Loss: 709.3772810697556
────────────────────────── Epoch 100/283 - Validation ──────────────────────────
╔═ Epoch 100/283 Summary ═╗
║ Validation Loss: 1.4772 ║
║ Accuracy: 98.41% ║
╚═════════════════════════╝
─────────────────────────── Epoch 101/283 - Training ───────────────────────────
Epoch-Loss: 709.2259603738785
────────────────────────── Epoch 101/283 - Validation ──────────────────────────
╔═ Epoch 101/283 Summary ═╗
║ Validation Loss: 1.4767 ║
║ Accuracy: 98.46% ║
╚═════════════════════════╝
─────────────────────────── Epoch 102/283 - Training ───────────────────────────
Epoch-Loss: 709.3506171703339
────────────────────────── Epoch 102/283 - Validation ──────────────────────────
╔═ Epoch 102/283 Summary ═╗
║ Validation Loss: 1.4782 ║
║ Accuracy: 98.29% ║
╚═════════════════════════╝
─────────────────────────── Epoch 103/283 - Training ───────────────────────────
Epoch-Loss: 709.2304309606552
────────────────────────── Epoch 103/283 - Validation ──────────────────────────
╔═ Epoch 103/283 Summary ═╗
║ Validation Loss: 1.4764 ║
║ Accuracy: 98.48% ║
╚═════════════════════════╝
─────────────────────────── Epoch 104/283 - Training ───────────────────────────
Epoch-Loss: 709.0831458568573
────────────────────────── Epoch 104/283 - Validation ──────────────────────────
╔═ Epoch 104/283 Summary ═╗
║ Validation Loss: 1.4780 ║
║ Accuracy: 98.29% ║
╚═════════════════════════╝
─────────────────────────── Epoch 105/283 - Training ───────────────────────────
Epoch-Loss: 709.2076631784439
────────────────────────── Epoch 105/283 - Validation ──────────────────────────
╔═ Epoch 105/283 Summary ═╗
║ Validation Loss: 1.4766 ║
║ Accuracy: 98.46% ║
╚═════════════════════════╝
─────────────────────────── Epoch 106/283 - Training ───────────────────────────
Epoch-Loss: 709.1453387737274
────────────────────────── Epoch 106/283 - Validation ──────────────────────────
╔═ Epoch 106/283 Summary ═╗
║ Validation Loss: 1.4772 ║
║ Accuracy: 98.40% ║
╚═════════════════════════╝
─────────────────────────── Epoch 107/283 - Training ───────────────────────────
Epoch-Loss: 709.1546810865402
────────────────────────── Epoch 107/283 - Validation ──────────────────────────
╔═ Epoch 107/283 Summary ═╗
║ Validation Loss: 1.4766 ║
║ Accuracy: 98.46% ║
╚═════════════════════════╝
─────────────────────────── Epoch 108/283 - Training ───────────────────────────
Epoch-Loss: 709.1365299224854
────────────────────────── Epoch 108/283 - Validation ──────────────────────────
╔═ Epoch 108/283 Summary ═╗
║ Validation Loss: 1.4766 ║
║ Accuracy: 98.46% ║
╚═════════════════════════╝
─────────────────────────── Epoch 109/283 - Training ───────────────────────────
Epoch-Loss: 709.0089608430862
────────────────────────── Epoch 109/283 - Validation ──────────────────────────
╔═ Epoch 109/283 Summary ═╗
║ Validation Loss: 1.4765 ║
║ Accuracy: 98.44% ║
╚═════════════════════════╝
─────────────────────────── Epoch 110/283 - Training ───────────────────────────
Epoch-Loss: 709.1386402845383
────────────────────────── Epoch 110/283 - Validation ──────────────────────────
╔═ Epoch 110/283 Summary ═╗
║ Validation Loss: 1.4769 ║
║ Accuracy: 98.39% ║
╚═════════════════════════╝
─────────────────────────── Epoch 111/283 - Training ───────────────────────────
Epoch-Loss: 709.0311181545258
────────────────────────── Epoch 111/283 - Validation ──────────────────────────
╔═ Epoch 111/283 Summary ═╗
║ Validation Loss: 1.4776 ║
║ Accuracy: 98.34% ║
╚═════════════════════════╝
─────────────────────────── Epoch 112/283 - Training ───────────────────────────
Epoch-Loss: 709.0509667396545
────────────────────────── Epoch 112/283 - Validation ──────────────────────────
╔═ Epoch 112/283 Summary ═╗
║ Validation Loss: 1.4771 ║
║ Accuracy: 98.39% ║
╚═════════════════════════╝
─────────────────────────── Epoch 113/283 - Training ───────────────────────────
Epoch-Loss: 709.0174632072449
────────────────────────── Epoch 113/283 - Validation ──────────────────────────
╔═ Epoch 113/283 Summary ═╗
║ Validation Loss: 1.4766 ║
║ Accuracy: 98.48% ║
╚═════════════════════════╝
─────────────────────────── Epoch 114/283 - Training ───────────────────────────
Epoch-Loss: 709.1007980108261
────────────────────────── Epoch 114/283 - Validation ──────────────────────────
╔═ Epoch 114/283 Summary ═╗
║ Validation Loss: 1.4774 ║
║ Accuracy: 98.36% ║
╚═════════════════════════╝
─────────────────────────── Epoch 115/283 - Training ───────────────────────────
Epoch-Loss: 709.1425801515579
────────────────────────── Epoch 115/283 - Validation ──────────────────────────
╔═ Epoch 115/283 Summary ═╗
║ Validation Loss: 1.4771 ║
║ Accuracy: 98.40% ║
╚═════════════════════════╝
─────────────────────────── Epoch 116/283 - Training ───────────────────────────
Epoch-Loss: 709.2162200212479
────────────────────────── Epoch 116/283 - Validation ──────────────────────────
╔═ Epoch 116/283 Summary ═╗
║ Validation Loss: 1.4767 ║
║ Accuracy: 98.46% ║
╚═════════════════════════╝
─────────────────────────── Epoch 117/283 - Training ───────────────────────────
Epoch-Loss: 709.1827663183212
────────────────────────── Epoch 117/283 - Validation ──────────────────────────
╔═ Epoch 117/283 Summary ═╗
║ Validation Loss: 1.4769 ║
║ Accuracy: 98.37% ║
╚═════════════════════════╝
─────────────────────────── Epoch 118/283 - Training ───────────────────────────
Epoch-Loss: 708.9725779294968
────────────────────────── Epoch 118/283 - Validation ──────────────────────────
╔═ Epoch 118/283 Summary ═╗
║ Validation Loss: 1.4770 ║
║ Accuracy: 98.38% ║
╚═════════════════════════╝
─────────────────────────── Epoch 119/283 - Training ───────────────────────────
Epoch-Loss: 708.922086596489
────────────────────────── Epoch 119/283 - Validation ──────────────────────────
╔═ Epoch 119/283 Summary ═╗
║ Validation Loss: 1.4766 ║
║ Accuracy: 98.45% ║
╚═════════════════════════╝
─────────────────────────── Epoch 120/283 - Training ───────────────────────────
Epoch-Loss: 709.0712823867798
────────────────────────── Epoch 120/283 - Validation ──────────────────────────
╔═ Epoch 120/283 Summary ═╗
║ Validation Loss: 1.4765 ║
║ Accuracy: 98.47% ║
╚═════════════════════════╝
─────────────────────────── Epoch 121/283 - Training ───────────────────────────
Epoch-Loss: 709.0417062044144
────────────────────────── Epoch 121/283 - Validation ──────────────────────────
╔═ Epoch 121/283 Summary ═╗
║ Validation Loss: 1.4756 ║
║ Accuracy: 98.55% ║
╚═════════════════════════╝
─────────────────────────── Epoch 122/283 - Training ───────────────────────────
Epoch-Loss: 708.9839997291565
────────────────────────── Epoch 122/283 - Validation ──────────────────────────
╔═ Epoch 122/283 Summary ═╗
║ Validation Loss: 1.4779 ║
║ Accuracy: 98.31% ║
╚═════════════════════════╝
─────────────────────────── Epoch 123/283 - Training ───────────────────────────
Epoch-Loss: 709.1486798524857
────────────────────────── Epoch 123/283 - Validation ──────────────────────────
╔═ Epoch 123/283 Summary ═╗
║ Validation Loss: 1.4772 ║
║ Accuracy: 98.36% ║
╚═════════════════════════╝
─────────────────────────── Epoch 124/283 - Training ───────────────────────────
Epoch-Loss: 709.1812722682953
────────────────────────── Epoch 124/283 - Validation ──────────────────────────
╔═ Epoch 124/283 Summary ═╗
║ Validation Loss: 1.4777 ║
║ Accuracy: 98.34% ║
╚═════════════════════════╝
─────────────────────────── Epoch 125/283 - Training ───────────────────────────
Epoch-Loss: 708.990718960762
────────────────────────── Epoch 125/283 - Validation ──────────────────────────
╔═ Epoch 125/283 Summary ═╗
║ Validation Loss: 1.4782 ║
║ Accuracy: 98.29% ║
╚═════════════════════════╝
─────────────────────────── Epoch 126/283 - Training ───────────────────────────
Epoch-Loss: 709.0382113456726
────────────────────────── Epoch 126/283 - Validation ──────────────────────────
╔═ Epoch 126/283 Summary ═╗
║ Validation Loss: 1.4767 ║
║ Accuracy: 98.44% ║
╚═════════════════════════╝
─────────────────────────── Epoch 127/283 - Training ───────────────────────────
Epoch-Loss: 709.1364183425903
────────────────────────── Epoch 127/283 - Validation ──────────────────────────
╔═ Epoch 127/283 Summary ═╗
║ Validation Loss: 1.4769 ║
║ Accuracy: 98.41% ║
╚═════════════════════════╝
─────────────────────────── Epoch 128/283 - Training ───────────────────────────
Epoch-Loss: 708.9845739603043
────────────────────────── Epoch 128/283 - Validation ──────────────────────────
╔═ Epoch 128/283 Summary ═╗
║ Validation Loss: 1.4764 ║
║ Accuracy: 98.45% ║
╚═════════════════════════╝
─────────────────────────── Epoch 129/283 - Training ───────────────────────────
Epoch-Loss: 709.0159032344818
────────────────────────── Epoch 129/283 - Validation ──────────────────────────
╔═ Epoch 129/283 Summary ═╗
║ Validation Loss: 1.4768 ║
║ Accuracy: 98.43% ║
╚═════════════════════════╝
─────────────────────────── Epoch 130/283 - Training ───────────────────────────
Epoch-Loss: 708.815932393074
────────────────────────── Epoch 130/283 - Validation ──────────────────────────
╔═ Epoch 130/283 Summary ═╗
║ Validation Loss: 1.4764 ║
║ Accuracy: 98.44% ║
╚═════════════════════════╝
─────────────────────────── Epoch 131/283 - Training ───────────────────────────
Epoch-Loss: 708.9712538719177
────────────────────────── Epoch 131/283 - Validation ──────────────────────────
╔═ Epoch 131/283 Summary ═╗
║ Validation Loss: 1.4771 ║
║ Accuracy: 98.37% ║
╚═════════════════════════╝
─────────────────────────── Epoch 132/283 - Training ───────────────────────────
Epoch-Loss: 709.0846239328384
────────────────────────── Epoch 132/283 - Validation ──────────────────────────
╔═ Epoch 132/283 Summary ═╗
║ Validation Loss: 1.4767 ║
║ Accuracy: 98.47% ║
╚═════════════════════════╝
─────────────────────────── Epoch 133/283 - Training ───────────────────────────
Epoch-Loss: 709.1609947681427
────────────────────────── Epoch 133/283 - Validation ──────────────────────────
╔═ Epoch 133/283 Summary ═╗
║ Validation Loss: 1.4773 ║
║ Accuracy: 98.38% ║
╚═════════════════════════╝
─────────────────────────── Epoch 134/283 - Training ───────────────────────────
Epoch-Loss: 708.9869153499603
────────────────────────── Epoch 134/283 - Validation ──────────────────────────
╔═ Epoch 134/283 Summary ═╗
║ Validation Loss: 1.4773 ║
║ Accuracy: 98.35% ║
╚═════════════════════════╝
─────────────────────────── Epoch 135/283 - Training ───────────────────────────
Epoch-Loss: 708.9323400259018
────────────────────────── Epoch 135/283 - Validation ──────────────────────────
╔═ Epoch 135/283 Summary ═╗
║ Validation Loss: 1.4768 ║
║ Accuracy: 98.44% ║
╚═════════════════════════╝
─────────────────────────── Epoch 136/283 - Training ───────────────────────────
Epoch-Loss: 708.9178192615509
────────────────────────── Epoch 136/283 - Validation ──────────────────────────
╔═ Epoch 136/283 Summary ═╗
║ Validation Loss: 1.4776 ║
║ Accuracy: 98.32% ║
╚═════════════════════════╝
─────────────────────────── Epoch 137/283 - Training ───────────────────────────
Epoch-Loss: 709.0190333127975
────────────────────────── Epoch 137/283 - Validation ──────────────────────────
╔═ Epoch 137/283 Summary ═╗
║ Validation Loss: 1.4780 ║
║ Accuracy: 98.31% ║
╚═════════════════════════╝
─────────────────────────── Epoch 138/283 - Training ───────────────────────────
Epoch-Loss: 709.0685886144638
────────────────────────── Epoch 138/283 - Validation ──────────────────────────
╔═ Epoch 138/283 Summary ═╗
║ Validation Loss: 1.4776 ║
║ Accuracy: 98.33% ║
╚═════════════════════════╝
─────────────────────────── Epoch 139/283 - Training ───────────────────────────
Epoch-Loss: 709.0604348182678
────────────────────────── Epoch 139/283 - Validation ──────────────────────────
╔═ Epoch 139/283 Summary ═╗
║ Validation Loss: 1.4773 ║
║ Accuracy: 98.38% ║
╚═════════════════════════╝
─────────────────────────── Epoch 140/283 - Training ───────────────────────────
Epoch-Loss: 709.1101976633072
────────────────────────── Epoch 140/283 - Validation ──────────────────────────
╔═ Epoch 140/283 Summary ═╗
║ Validation Loss: 1.4773 ║
║ Accuracy: 98.36% ║
╚═════════════════════════╝
─────────────────────────── Epoch 141/283 - Training ───────────────────────────
Epoch-Loss: 708.9232295751572
────────────────────────── Epoch 141/283 - Validation ──────────────────────────
╔═ Epoch 141/283 Summary ═╗
║ Validation Loss: 1.4769 ║
║ Accuracy: 98.43% ║
╚═════════════════════════╝
─────────────────────────── Epoch 142/283 - Training ───────────────────────────
Epoch-Loss: 709.0196009874344
────────────────────────── Epoch 142/283 - Validation ──────────────────────────
╔═ Epoch 142/283 Summary ═╗
║ Validation Loss: 1.4777 ║
║ Accuracy: 98.32% ║
╚═════════════════════════╝
─────────────────────────── Epoch 143/283 - Training ───────────────────────────
Epoch-Loss: 708.8434503078461
────────────────────────── Epoch 143/283 - Validation ──────────────────────────
╔═ Epoch 143/283 Summary ═╗
║ Validation Loss: 1.4765 ║
║ Accuracy: 98.41% ║
╚═════════════════════════╝
─────────────────────────── Epoch 144/283 - Training ───────────────────────────
Epoch-Loss: 708.881425857544
────────────────────────── Epoch 144/283 - Validation ──────────────────────────
╔═ Epoch 144/283 Summary ═╗
║ Validation Loss: 1.4777 ║
║ Accuracy: 98.33% ║
╚═════════════════════════╝
─────────────────────────── Epoch 145/283 - Training ───────────────────────────
Epoch-Loss: 708.9048560857773
────────────────────────── Epoch 145/283 - Validation ──────────────────────────
╔═ Epoch 145/283 Summary ═╗
║ Validation Loss: 1.4770 ║
║ Accuracy: 98.44% ║
╚═════════════════════════╝
─────────────────────────── Epoch 146/283 - Training ───────────────────────────
Epoch-Loss: 708.7500326633453
────────────────────────── Epoch 146/283 - Validation ──────────────────────────
╔═ Epoch 146/283 Summary ═╗
║ Validation Loss: 1.4773 ║
║ Accuracy: 98.37% ║
╚═════════════════════════╝
─────────────────────────── Epoch 147/283 - Training ───────────────────────────
Epoch-Loss: 708.9533226490021
────────────────────────── Epoch 147/283 - Validation ──────────────────────────
╔═ Epoch 147/283 Summary ═╗
║ Validation Loss: 1.4767 ║
║ Accuracy: 98.48% ║
╚═════════════════════════╝
─────────────────────────── Epoch 148/283 - Training ───────────────────────────
Epoch-Loss: 709.0006384849548
────────────────────────── Epoch 148/283 - Validation ──────────────────────────
╔═ Epoch 148/283 Summary ═╗
║ Validation Loss: 1.4776 ║
║ Accuracy: 98.31% ║
╚═════════════════════════╝
─────────────────────────── Epoch 149/283 - Training ───────────────────────────
Epoch-Loss: 708.8340153694153
────────────────────────── Epoch 149/283 - Validation ──────────────────────────
╔═ Epoch 149/283 Summary ═╗
║ Validation Loss: 1.4769 ║
║ Accuracy: 98.37% ║
╚═════════════════════════╝
─────────────────────────── Epoch 150/283 - Training ───────────────────────────
Epoch-Loss: 708.8115278482437
────────────────────────── Epoch 150/283 - Validation ──────────────────────────
╔═ Epoch 150/283 Summary ═╗
║ Validation Loss: 1.4762 ║
║ Accuracy: 98.51% ║
╚═════════════════════════╝
─────────────────────────── Epoch 151/283 - Training ───────────────────────────
Epoch-Loss: 708.9461270570755
────────────────────────── Epoch 151/283 - Validation ──────────────────────────
╔═ Epoch 151/283 Summary ═╗
║ Validation Loss: 1.4774 ║
║ Accuracy: 98.35% ║
╚═════════════════════════╝
─────────────────────────── Epoch 152/283 - Training ───────────────────────────
Epoch-Loss: 709.0237942934036
────────────────────────── Epoch 152/283 - Validation ──────────────────────────
╔═ Epoch 152/283 Summary ═╗
║ Validation Loss: 1.4780 ║
║ Accuracy: 98.32% ║
╚═════════════════════════╝
─────────────────────────── Epoch 153/283 - Training ───────────────────────────
Epoch-Loss: 708.8649982213974
────────────────────────── Epoch 153/283 - Validation ──────────────────────────
╔═ Epoch 153/283 Summary ═╗
║ Validation Loss: 1.4774 ║
║ Accuracy: 98.36% ║
╚═════════════════════════╝
─────────────────────────── Epoch 154/283 - Training ───────────────────────────
Epoch-Loss: 708.887086391449
────────────────────────── Epoch 154/283 - Validation ──────────────────────────
╔═ Epoch 154/283 Summary ═╗
║ Validation Loss: 1.4766 ║
║ Accuracy: 98.42% ║
╚═════════════════════════╝
─────────────────────────── Epoch 155/283 - Training ───────────────────────────
Epoch-Loss: 709.0800156593323
────────────────────────── Epoch 155/283 - Validation ──────────────────────────
╔═ Epoch 155/283 Summary ═╗
║ Validation Loss: 1.4773 ║
║ Accuracy: 98.36% ║
╚═════════════════════════╝
─────────────────────────── Epoch 156/283 - Training ───────────────────────────
Epoch-Loss: 709.0814903974533
────────────────────────── Epoch 156/283 - Validation ──────────────────────────
╔═ Epoch 156/283 Summary ═╗
║ Validation Loss: 1.4768 ║
║ Accuracy: 98.42% ║
╚═════════════════════════╝
─────────────────────────── Epoch 157/283 - Training ───────────────────────────
Epoch-Loss: 708.8821326494217
────────────────────────── Epoch 157/283 - Validation ──────────────────────────
╔═ Epoch 157/283 Summary ═╗
║ Validation Loss: 1.4758 ║
║ Accuracy: 98.52% ║
╚═════════════════════════╝
─────────────────────────── Epoch 158/283 - Training ───────────────────────────
Epoch-Loss: 709.0245084762573
────────────────────────── Epoch 158/283 - Validation ──────────────────────────
╔═ Epoch 158/283 Summary ═╗
║ Validation Loss: 1.4771 ║
║ Accuracy: 98.39% ║
╚═════════════════════════╝
─────────────────────────── Epoch 159/283 - Training ───────────────────────────
Epoch-Loss: 708.8708114624023
────────────────────────── Epoch 159/283 - Validation ──────────────────────────
╔═ Epoch 159/283 Summary ═╗
║ Validation Loss: 1.4769 ║
║ Accuracy: 98.42% ║
╚═════════════════════════╝
─────────────────────────── Epoch 160/283 - Training ───────────────────────────
Epoch-Loss: 708.8958138227463
────────────────────────── Epoch 160/283 - Validation ──────────────────────────
╔═ Epoch 160/283 Summary ═╗
║ Validation Loss: 1.4775 ║
║ Accuracy: 98.34% ║
╚═════════════════════════╝
─────────────────────────── Epoch 161/283 - Training ───────────────────────────
Epoch-Loss: 708.8956924676895
────────────────────────── Epoch 161/283 - Validation ──────────────────────────
╔═ Epoch 161/283 Summary ═╗
║ Validation Loss: 1.4772 ║
║ Accuracy: 98.40% ║
╚═════════════════════════╝
─────────────────────────── Epoch 162/283 - Training ───────────────────────────
Epoch-Loss: 708.9616038799286
────────────────────────── Epoch 162/283 - Validation ──────────────────────────
╔═ Epoch 162/283 Summary ═╗
║ Validation Loss: 1.4764 ║
║ Accuracy: 98.45% ║
╚═════════════════════════╝
─────────────────────────── Epoch 163/283 - Training ───────────────────────────
Epoch-Loss: 708.6738702058792
────────────────────────── Epoch 163/283 - Validation ──────────────────────────
╔═ Epoch 163/283 Summary ═╗
║ Validation Loss: 1.4768 ║
║ Accuracy: 98.43% ║
╚═════════════════════════╝
─────────────────────────── Epoch 164/283 - Training ───────────────────────────
Epoch-Loss: 708.845499753952
────────────────────────── Epoch 164/283 - Validation ──────────────────────────
╔═ Epoch 164/283 Summary ═╗
║ Validation Loss: 1.4782 ║
║ Accuracy: 98.27% ║
╚═════════════════════════╝
─────────────────────────── Epoch 165/283 - Training ───────────────────────────
Epoch-Loss: 708.8274071216583
────────────────────────── Epoch 165/283 - Validation ──────────────────────────
╔═ Epoch 165/283 Summary ═╗
║ Validation Loss: 1.4768 ║
║ Accuracy: 98.44% ║
╚═════════════════════════╝
─────────────────────────── Epoch 166/283 - Training ───────────────────────────
Epoch-Loss: 708.857875585556
────────────────────────── Epoch 166/283 - Validation ──────────────────────────
╔═ Epoch 166/283 Summary ═╗
║ Validation Loss: 1.4766 ║
║ Accuracy: 98.47% ║
╚═════════════════════════╝
─────────────────────────── Epoch 167/283 - Training ───────────────────────────
Epoch-Loss: 708.9160625934601
────────────────────────── Epoch 167/283 - Validation ──────────────────────────
╔═ Epoch 167/283 Summary ═╗
║ Validation Loss: 1.4755 ║
║ Accuracy: 98.58% ║
╚═════════════════════════╝
─────────────────────────── Epoch 168/283 - Training ───────────────────────────
Epoch-Loss: 708.9772154092789
────────────────────────── Epoch 168/283 - Validation ──────────────────────────
╔═ Epoch 168/283 Summary ═╗
║ Validation Loss: 1.4778 ║
║ Accuracy: 98.31% ║
╚═════════════════════════╝
─────────────────────────── Epoch 169/283 - Training ───────────────────────────
Epoch-Loss: 708.7233303785324
────────────────────────── Epoch 169/283 - Validation ──────────────────────────
╔═ Epoch 169/283 Summary ═╗
║ Validation Loss: 1.4771 ║
║ Accuracy: 98.40% ║
╚═════════════════════════╝
─────────────────────────── Epoch 170/283 - Training ───────────────────────────
Epoch-Loss: 708.8243806362152
────────────────────────── Epoch 170/283 - Validation ──────────────────────────
╔═ Epoch 170/283 Summary ═╗
║ Validation Loss: 1.4777 ║
║ Accuracy: 98.31% ║
╚═════════════════════════╝
─────────────────────────── Epoch 171/283 - Training ───────────────────────────
Epoch-Loss: 708.752924323082
────────────────────────── Epoch 171/283 - Validation ──────────────────────────
╔═ Epoch 171/283 Summary ═╗
║ Validation Loss: 1.4775 ║
║ Accuracy: 98.35% ║
╚═════════════════════════╝
─────────────────────────── Epoch 172/283 - Training ───────────────────────────
Epoch-Loss: 708.6763803958893
────────────────────────── Epoch 172/283 - Validation ──────────────────────────
╔═ Epoch 172/283 Summary ═╗
║ Validation Loss: 1.4764 ║
║ Accuracy: 98.46% ║
╚═════════════════════════╝
─────────────────────────── Epoch 173/283 - Training ───────────────────────────
Epoch-Loss: 708.8041583299637
────────────────────────── Epoch 173/283 - Validation ──────────────────────────
╔═ Epoch 173/283 Summary ═╗
║ Validation Loss: 1.4765 ║
║ Accuracy: 98.45% ║
╚═════════════════════════╝
─────────────────────────── Epoch 174/283 - Training ───────────────────────────
Epoch-Loss: 708.8313646316528
────────────────────────── Epoch 174/283 - Validation ──────────────────────────
╔═ Epoch 174/283 Summary ═╗
║ Validation Loss: 1.4769 ║
║ Accuracy: 98.41% ║
╚═════════════════════════╝
─────────────────────────── Epoch 175/283 - Training ───────────────────────────
Epoch-Loss: 708.7987694740295
────────────────────────── Epoch 175/283 - Validation ──────────────────────────
╔═ Epoch 175/283 Summary ═╗
║ Validation Loss: 1.4762 ║
║ Accuracy: 98.48% ║
╚═════════════════════════╝
─────────────────────────── Epoch 176/283 - Training ───────────────────────────
Epoch-Loss: 708.5756121873856
────────────────────────── Epoch 176/283 - Validation ──────────────────────────
╔═ Epoch 176/283 Summary ═╗
║ Validation Loss: 1.4774 ║
║ Accuracy: 98.36% ║
╚═════════════════════════╝
─────────────────────────── Epoch 177/283 - Training ───────────────────────────
Epoch-Loss: 708.6630313396454
────────────────────────── Epoch 177/283 - Validation ──────────────────────────
╔═ Epoch 177/283 Summary ═╗
║ Validation Loss: 1.4765 ║
║ Accuracy: 98.46% ║
╚═════════════════════════╝
─────────────────────────── Epoch 178/283 - Training ───────────────────────────
Epoch-Loss: 708.751277923584
────────────────────────── Epoch 178/283 - Validation ──────────────────────────
╔═ Epoch 178/283 Summary ═╗
║ Validation Loss: 1.4775 ║
║ Accuracy: 98.30% ║
╚═════════════════════════╝
─────────────────────────── Epoch 179/283 - Training ───────────────────────────
Epoch-Loss: 708.7823815345764
────────────────────────── Epoch 179/283 - Validation ──────────────────────────
╔═ Epoch 179/283 Summary ═╗
║ Validation Loss: 1.4765 ║
║ Accuracy: 98.47% ║
╚═════════════════════════╝
─────────────────────────── Epoch 180/283 - Training ───────────────────────────
Epoch-Loss: 708.7496037483215
────────────────────────── Epoch 180/283 - Validation ──────────────────────────
╔═ Epoch 180/283 Summary ═╗
║ Validation Loss: 1.4773 ║
║ Accuracy: 98.36% ║
╚═════════════════════════╝
─────────────────────────── Epoch 181/283 - Training ───────────────────────────
Epoch-Loss: 708.5970997810364
────────────────────────── Epoch 181/283 - Validation ──────────────────────────
╔═ Epoch 181/283 Summary ═╗
║ Validation Loss: 1.4763 ║
║ Accuracy: 98.46% ║
╚═════════════════════════╝
─────────────────────────── Epoch 182/283 - Training ───────────────────────────
Epoch-Loss: 708.7013468742371
────────────────────────── Epoch 182/283 - Validation ──────────────────────────
╔═ Epoch 182/283 Summary ═╗
║ Validation Loss: 1.4776 ║
║ Accuracy: 98.37% ║
╚═════════════════════════╝
─────────────────────────── Epoch 183/283 - Training ───────────────────────────
Epoch-Loss: 708.671404838562
────────────────────────── Epoch 183/283 - Validation ──────────────────────────
╔═ Epoch 183/283 Summary ═╗
║ Validation Loss: 1.4755 ║
║ Accuracy: 98.57% ║
╚═════════════════════════╝
─────────────────────────── Epoch 184/283 - Training ───────────────────────────
Epoch-Loss: 708.8203823566437
────────────────────────── Epoch 184/283 - Validation ──────────────────────────
╔═ Epoch 184/283 Summary ═╗
║ Validation Loss: 1.4775 ║
║ Accuracy: 98.34% ║
╚═════════════════════════╝
─────────────────────────── Epoch 185/283 - Training ───────────────────────────
Epoch-Loss: 708.8137855529785
────────────────────────── Epoch 185/283 - Validation ──────────────────────────
╔═ Epoch 185/283 Summary ═╗
║ Validation Loss: 1.4772 ║
║ Accuracy: 98.35% ║
╚═════════════════════════╝
─────────────────────────── Epoch 186/283 - Training ───────────────────────────
Epoch-Loss: 708.739041686058
────────────────────────── Epoch 186/283 - Validation ──────────────────────────
╔═ Epoch 186/283 Summary ═╗
║ Validation Loss: 1.4767 ║
║ Accuracy: 98.43% ║
╚═════════════════════════╝
─────────────────────────── Epoch 187/283 - Training ───────────────────────────
Epoch-Loss: 708.7216775417328
────────────────────────── Epoch 187/283 - Validation ──────────────────────────
╔═ Epoch 187/283 Summary ═╗
║ Validation Loss: 1.4761 ║
║ Accuracy: 98.49% ║
╚═════════════════════════╝
─────────────────────────── Epoch 188/283 - Training ───────────────────────────
Epoch-Loss: 708.7860511541367
────────────────────────── Epoch 188/283 - Validation ──────────────────────────
╔═ Epoch 188/283 Summary ═╗
║ Validation Loss: 1.4764 ║
║ Accuracy: 98.47% ║
╚═════════════════════════╝
─────────────────────────── Epoch 189/283 - Training ───────────────────────────
Epoch-Loss: 708.6507140398026
────────────────────────── Epoch 189/283 - Validation ──────────────────────────
╔═ Epoch 189/283 Summary ═╗
║ Validation Loss: 1.4769 ║
║ Accuracy: 98.41% ║
╚═════════════════════════╝
─────────────────────────── Epoch 190/283 - Training ───────────────────────────
Epoch-Loss: 708.6980265378952
────────────────────────── Epoch 190/283 - Validation ──────────────────────────
╔═ Epoch 190/283 Summary ═╗
║ Validation Loss: 1.4788 ║
║ Accuracy: 98.24% ║
╚═════════════════════════╝
─────────────────────────── Epoch 191/283 - Training ───────────────────────────
Epoch-Loss: 708.8145577907562
────────────────────────── Epoch 191/283 - Validation ──────────────────────────
╔═ Epoch 191/283 Summary ═╗
║ Validation Loss: 1.4772 ║
║ Accuracy: 98.39% ║
╚═════════════════════════╝
─────────────────────────── Epoch 192/283 - Training ───────────────────────────
Epoch-Loss: 708.69599878788
────────────────────────── Epoch 192/283 - Validation ──────────────────────────
╔═ Epoch 192/283 Summary ═╗
║ Validation Loss: 1.4785 ║
║ Accuracy: 98.25% ║
╚═════════════════════════╝
─────────────────────────── Epoch 193/283 - Training ───────────────────────────
Epoch-Loss: 708.8276941776276
────────────────────────── Epoch 193/283 - Validation ──────────────────────────
╔═ Epoch 193/283 Summary ═╗
║ Validation Loss: 1.4772 ║
║ Accuracy: 98.38% ║
╚═════════════════════════╝
─────────────────────────── Epoch 194/283 - Training ───────────────────────────
Epoch-Loss: 708.740118265152
────────────────────────── Epoch 194/283 - Validation ──────────────────────────
╔═ Epoch 194/283 Summary ═╗
║ Validation Loss: 1.4783 ║
║ Accuracy: 98.25% ║
╚═════════════════════════╝
─────────────────────────── Epoch 195/283 - Training ───────────────────────────
Epoch-Loss: 708.6513546705246
────────────────────────── Epoch 195/283 - Validation ──────────────────────────
╔═ Epoch 195/283 Summary ═╗
║ Validation Loss: 1.4768 ║
║ Accuracy: 98.42% ║
╚═════════════════════════╝
─────────────────────────── Epoch 196/283 - Training ───────────────────────────
Epoch-Loss: 708.5424160957336
────────────────────────── Epoch 196/283 - Validation ──────────────────────────
╔═ Epoch 196/283 Summary ═╗
║ Validation Loss: 1.4767 ║
║ Accuracy: 98.48% ║
╚═════════════════════════╝
─────────────────────────── Epoch 197/283 - Training ───────────────────────────
Epoch-Loss: 708.5665704011917
────────────────────────── Epoch 197/283 - Validation ──────────────────────────
╔═ Epoch 197/283 Summary ═╗
║ Validation Loss: 1.4771 ║
║ Accuracy: 98.41% ║
╚═════════════════════════╝
─────────────────────────── Epoch 198/283 - Training ───────────────────────────
Epoch-Loss: 708.7764992713928
────────────────────────── Epoch 198/283 - Validation ──────────────────────────
╔═ Epoch 198/283 Summary ═╗
║ Validation Loss: 1.4779 ║
║ Accuracy: 98.33% ║
╚═════════════════════════╝
─────────────────────────── Epoch 199/283 - Training ───────────────────────────
Epoch-Loss: 708.7246522903442
────────────────────────── Epoch 199/283 - Validation ──────────────────────────
╔═ Epoch 199/283 Summary ═╗
║ Validation Loss: 1.4762 ║
║ Accuracy: 98.47% ║
╚═════════════════════════╝
─────────────────────────── Epoch 200/283 - Training ───────────────────────────
Epoch-Loss: 708.8120094537735
────────────────────────── Epoch 200/283 - Validation ──────────────────────────
╔═ Epoch 200/283 Summary ═╗
║ Validation Loss: 1.4760 ║
║ Accuracy: 98.50% ║
╚═════════════════════════╝
─────────────────────────── Epoch 201/283 - Training ───────────────────────────
Epoch-Loss: 708.7220540046692
────────────────────────── Epoch 201/283 - Validation ──────────────────────────
╔═ Epoch 201/283 Summary ═╗
║ Validation Loss: 1.4768 ║
║ Accuracy: 98.41% ║
╚═════════════════════════╝
─────────────────────────── Epoch 202/283 - Training ───────────────────────────
Epoch-Loss: 708.7479704618454
────────────────────────── Epoch 202/283 - Validation ──────────────────────────
╔═ Epoch 202/283 Summary ═╗
║ Validation Loss: 1.4766 ║
║ Accuracy: 98.43% ║
╚═════════════════════════╝
─────────────────────────── Epoch 203/283 - Training ───────────────────────────
Epoch-Loss: 708.6228748559952
────────────────────────── Epoch 203/283 - Validation ──────────────────────────
╔═ Epoch 203/283 Summary ═╗
║ Validation Loss: 1.4764 ║
║ Accuracy: 98.48% ║
╚═════════════════════════╝
─────────────────────────── Epoch 204/283 - Training ───────────────────────────
Epoch-Loss: 708.6364998817444
────────────────────────── Epoch 204/283 - Validation ──────────────────────────
╔═ Epoch 204/283 Summary ═╗
║ Validation Loss: 1.4760 ║
║ Accuracy: 98.49% ║
╚═════════════════════════╝
─────────────────────────── Epoch 205/283 - Training ───────────────────────────
Epoch-Loss: 708.5539685487747
────────────────────────── Epoch 205/283 - Validation ──────────────────────────
╔═ Epoch 205/283 Summary ═╗
║ Validation Loss: 1.4764 ║
║ Accuracy: 98.48% ║
╚═════════════════════════╝
─────────────────────────── Epoch 206/283 - Training ───────────────────────────
Epoch-Loss: 708.5791236162186
────────────────────────── Epoch 206/283 - Validation ──────────────────────────
╔═ Epoch 206/283 Summary ═╗
║ Validation Loss: 1.4757 ║
║ Accuracy: 98.56% ║
╚═════════════════════════╝
─────────────────────────── Epoch 207/283 - Training ───────────────────────────
Epoch-Loss: 708.750558257103
────────────────────────── Epoch 207/283 - Validation ──────────────────────────
╔═ Epoch 207/283 Summary ═╗
║ Validation Loss: 1.4770 ║
║ Accuracy: 98.40% ║
╚═════════════════════════╝
─────────────────────────── Epoch 208/283 - Training ───────────────────────────
Epoch-Loss: 708.6015304327011
────────────────────────── Epoch 208/283 - Validation ──────────────────────────
╔═ Epoch 208/283 Summary ═╗
║ Validation Loss: 1.4762 ║
║ Accuracy: 98.49% ║
╚═════════════════════════╝
─────────────────────────── Epoch 209/283 - Training ───────────────────────────
Epoch-Loss: 708.7019159793854
────────────────────────── Epoch 209/283 - Validation ──────────────────────────
╔═ Epoch 209/283 Summary ═╗
║ Validation Loss: 1.4765 ║
║ Accuracy: 98.44% ║
╚═════════════════════════╝
─────────────────────────── Epoch 210/283 - Training ───────────────────────────
Epoch-Loss: 708.7108726501465
────────────────────────── Epoch 210/283 - Validation ──────────────────────────
╔═ Epoch 210/283 Summary ═╗
║ Validation Loss: 1.4759 ║
║ Accuracy: 98.50% ║
╚═════════════════════════╝
─────────────────────────── Epoch 211/283 - Training ───────────────────────────
Epoch-Loss: 708.7513780593872
────────────────────────── Epoch 211/283 - Validation ──────────────────────────
╔═ Epoch 211/283 Summary ═╗
║ Validation Loss: 1.4758 ║
║ Accuracy: 98.52% ║
╚═════════════════════════╝
─────────────────────────── Epoch 212/283 - Training ───────────────────────────
Epoch-Loss: 708.7240942716599
────────────────────────── Epoch 212/283 - Validation ──────────────────────────
╔═ Epoch 212/283 Summary ═╗
║ Validation Loss: 1.4771 ║
║ Accuracy: 98.39% ║
╚═════════════════════════╝
─────────────────────────── Epoch 213/283 - Training ───────────────────────────
Epoch-Loss: 708.8517178297043
────────────────────────── Epoch 213/283 - Validation ──────────────────────────
╔═ Epoch 213/283 Summary ═╗
║ Validation Loss: 1.4768 ║
║ Accuracy: 98.40% ║
╚═════════════════════════╝
─────────────────────────── Epoch 214/283 - Training ───────────────────────────
Epoch-Loss: 708.4688730239868
────────────────────────── Epoch 214/283 - Validation ──────────────────────────
╔═ Epoch 214/283 Summary ═╗
║ Validation Loss: 1.4761 ║
║ Accuracy: 98.47% ║
╚═════════════════════════╝
─────────────────────────── Epoch 215/283 - Training ───────────────────────────
Epoch-Loss: 708.6516978740692
────────────────────────── Epoch 215/283 - Validation ──────────────────────────
╔═ Epoch 215/283 Summary ═╗
║ Validation Loss: 1.4758 ║
║ Accuracy: 98.52% ║
╚═════════════════════════╝
─────────────────────────── Epoch 216/283 - Training ───────────────────────────
Epoch-Loss: 708.7228187322617
────────────────────────── Epoch 216/283 - Validation ──────────────────────────
╔═ Epoch 216/283 Summary ═╗
║ Validation Loss: 1.4768 ║
║ Accuracy: 98.42% ║
╚═════════════════════════╝
─────────────────────────── Epoch 217/283 - Training ───────────────────────────
Epoch-Loss: 708.6292363405228
────────────────────────── Epoch 217/283 - Validation ──────────────────────────
╔═ Epoch 217/283 Summary ═╗
║ Validation Loss: 1.4762 ║
║ Accuracy: 98.49% ║
╚═════════════════════════╝
─────────────────────────── Epoch 218/283 - Training ───────────────────────────
Epoch-Loss: 708.6779614686966
────────────────────────── Epoch 218/283 - Validation ──────────────────────────
╔═ Epoch 218/283 Summary ═╗
║ Validation Loss: 1.4767 ║
║ Accuracy: 98.44% ║
╚═════════════════════════╝
─────────────────────────── Epoch 219/283 - Training ───────────────────────────
Epoch-Loss: 708.7147617340088
────────────────────────── Epoch 219/283 - Validation ──────────────────────────
╔═ Epoch 219/283 Summary ═╗
║ Validation Loss: 1.4777 ║
║ Accuracy: 98.36% ║
╚═════════════════════════╝
─────────────────────────── Epoch 220/283 - Training ───────────────────────────
Epoch-Loss: 708.7400808334351
────────────────────────── Epoch 220/283 - Validation ──────────────────────────
╔═ Epoch 220/283 Summary ═╗
║ Validation Loss: 1.4780 ║
║ Accuracy: 98.32% ║
╚═════════════════════════╝
─────────────────────────── Epoch 221/283 - Training ───────────────────────────
Epoch-Loss: 708.6926703453064
────────────────────────── Epoch 221/283 - Validation ──────────────────────────
╔═ Epoch 221/283 Summary ═╗
║ Validation Loss: 1.4771 ║
║ Accuracy: 98.39% ║
╚═════════════════════════╝
─────────────────────────── Epoch 222/283 - Training ───────────────────────────
Epoch-Loss: 708.5624740123749
────────────────────────── Epoch 222/283 - Validation ──────────────────────────
╔═ Epoch 222/283 Summary ═╗
║ Validation Loss: 1.4764 ║
║ Accuracy: 98.47% ║
╚═════════════════════════╝
─────────────────────────── Epoch 223/283 - Training ───────────────────────────
Epoch-Loss: 708.6759268045425
────────────────────────── Epoch 223/283 - Validation ──────────────────────────
╔═ Epoch 223/283 Summary ═╗
║ Validation Loss: 1.4770 ║
║ Accuracy: 98.42% ║
╚═════════════════════════╝
─────────────────────────── Epoch 224/283 - Training ───────────────────────────
Epoch-Loss: 708.7540248632431
────────────────────────── Epoch 224/283 - Validation ──────────────────────────
╔═ Epoch 224/283 Summary ═╗
║ Validation Loss: 1.4764 ║
║ Accuracy: 98.49% ║
╚═════════════════════════╝
─────────────────────────── Epoch 225/283 - Training ───────────────────────────
Epoch-Loss: 708.7190490961075
────────────────────────── Epoch 225/283 - Validation ──────────────────────────
╔═ Epoch 225/283 Summary ═╗
║ Validation Loss: 1.4762 ║
║ Accuracy: 98.48% ║
╚═════════════════════════╝
─────────────────────────── Epoch 226/283 - Training ───────────────────────────
Epoch-Loss: 708.7117109298706
────────────────────────── Epoch 226/283 - Validation ──────────────────────────
╔═ Epoch 226/283 Summary ═╗
║ Validation Loss: 1.4761 ║
║ Accuracy: 98.48% ║
╚═════════════════════════╝
─────────────────────────── Epoch 227/283 - Training ───────────────────────────
Epoch-Loss: 708.7333059310913
────────────────────────── Epoch 227/283 - Validation ──────────────────────────
╔═ Epoch 227/283 Summary ═╗
║ Validation Loss: 1.4764 ║
║ Accuracy: 98.46% ║
╚═════════════════════════╝
─────────────────────────── Epoch 228/283 - Training ───────────────────────────
Epoch-Loss: 708.5499286651611
────────────────────────── Epoch 228/283 - Validation ──────────────────────────
╔═ Epoch 228/283 Summary ═╗
║ Validation Loss: 1.4749 ║
║ Accuracy: 98.63% ║
╚═════════════════════════╝
─────────────────────────── Epoch 229/283 - Training ───────────────────────────
Epoch-Loss: 708.7609001398087
────────────────────────── Epoch 229/283 - Validation ──────────────────────────
╔═ Epoch 229/283 Summary ═╗
║ Validation Loss: 1.4767 ║
║ Accuracy: 98.39% ║
╚═════════════════════════╝
─────────────────────────── Epoch 230/283 - Training ───────────────────────────
Epoch-Loss: 708.7740235328674
────────────────────────── Epoch 230/283 - Validation ──────────────────────────
╔═ Epoch 230/283 Summary ═╗
║ Validation Loss: 1.4770 ║
║ Accuracy: 98.39% ║
╚═════════════════════════╝
─────────────────────────── Epoch 231/283 - Training ───────────────────────────
Epoch-Loss: 708.694361448288
────────────────────────── Epoch 231/283 - Validation ──────────────────────────
╔═ Epoch 231/283 Summary ═╗
║ Validation Loss: 1.4768 ║
║ Accuracy: 98.43% ║
╚═════════════════════════╝
─────────────────────────── Epoch 232/283 - Training ───────────────────────────
Epoch-Loss: 708.7406046390533
────────────────────────── Epoch 232/283 - Validation ──────────────────────────
╔═ Epoch 232/283 Summary ═╗
║ Validation Loss: 1.4764 ║
║ Accuracy: 98.48% ║
╚═════════════════════════╝
─────────────────────────── Epoch 233/283 - Training ───────────────────────────
Epoch-Loss: 708.6209666728973
────────────────────────── Epoch 233/283 - Validation ──────────────────────────
╔═ Epoch 233/283 Summary ═╗
║ Validation Loss: 1.4759 ║
║ Accuracy: 98.51% ║
╚═════════════════════════╝
─────────────────────────── Epoch 234/283 - Training ───────────────────────────
Epoch-Loss: 708.536903500557
────────────────────────── Epoch 234/283 - Validation ──────────────────────────
╔═ Epoch 234/283 Summary ═╗
║ Validation Loss: 1.4759 ║
║ Accuracy: 98.52% ║
╚═════════════════════════╝
─────────────────────────── Epoch 235/283 - Training ───────────────────────────
Epoch-Loss: 708.735519528389
────────────────────────── Epoch 235/283 - Validation ──────────────────────────
╔═ Epoch 235/283 Summary ═╗
║ Validation Loss: 1.4756 ║
║ Accuracy: 98.53% ║
╚═════════════════════════╝
─────────────────────────── Epoch 236/283 - Training ───────────────────────────
Epoch-Loss: 708.6149520874023
────────────────────────── Epoch 236/283 - Validation ──────────────────────────
╔═ Epoch 236/283 Summary ═╗
║ Validation Loss: 1.4757 ║
║ Accuracy: 98.54% ║
╚═════════════════════════╝
─────────────────────────── Epoch 237/283 - Training ───────────────────────────
Epoch-Loss: 708.4926527738571
────────────────────────── Epoch 237/283 - Validation ──────────────────────────
╔═ Epoch 237/283 Summary ═╗
║ Validation Loss: 1.4754 ║
║ Accuracy: 98.56% ║
╚═════════════════════════╝
─────────────────────────── Epoch 238/283 - Training ───────────────────────────
Epoch-Loss: 708.5907999277115
────────────────────────── Epoch 238/283 - Validation ──────────────────────────
╔═ Epoch 238/283 Summary ═╗
║ Validation Loss: 1.4767 ║
║ Accuracy: 98.44% ║
╚═════════════════════════╝
─────────────────────────── Epoch 239/283 - Training ───────────────────────────
Epoch-Loss: 708.4512833356857
────────────────────────── Epoch 239/283 - Validation ──────────────────────────
╔═ Epoch 239/283 Summary ═╗
║ Validation Loss: 1.4759 ║
║ Accuracy: 98.50% ║
╚═════════════════════════╝
─────────────────────────── Epoch 240/283 - Training ───────────────────────────
Epoch-Loss: 708.6411299705505
────────────────────────── Epoch 240/283 - Validation ──────────────────────────
╔═ Epoch 240/283 Summary ═╗
║ Validation Loss: 1.4763 ║
║ Accuracy: 98.47% ║
╚═════════════════════════╝
─────────────────────────── Epoch 241/283 - Training ───────────────────────────
Epoch-Loss: 708.6225618124008
────────────────────────── Epoch 241/283 - Validation ──────────────────────────
╔═ Epoch 241/283 Summary ═╗
║ Validation Loss: 1.4765 ║
║ Accuracy: 98.47% ║
╚═════════════════════════╝
─────────────────────────── Epoch 242/283 - Training ───────────────────────────
Epoch-Loss: 708.6462615728378
────────────────────────── Epoch 242/283 - Validation ──────────────────────────
╔═ Epoch 242/283 Summary ═╗
║ Validation Loss: 1.4752 ║
║ Accuracy: 98.60% ║
╚═════════════════════════╝
─────────────────────────── Epoch 243/283 - Training ───────────────────────────
Epoch-Loss: 708.7427829504013
────────────────────────── Epoch 243/283 - Validation ──────────────────────────
╔═ Epoch 243/283 Summary ═╗
║ Validation Loss: 1.4763 ║
║ Accuracy: 98.46% ║
╚═════════════════════════╝
─────────────────────────── Epoch 244/283 - Training ───────────────────────────
Epoch-Loss: 708.5599992275238
────────────────────────── Epoch 244/283 - Validation ──────────────────────────
╔═ Epoch 244/283 Summary ═╗
║ Validation Loss: 1.4769 ║
║ Accuracy: 98.42% ║
╚═════════════════════════╝
─────────────────────────── Epoch 245/283 - Training ───────────────────────────
Epoch-Loss: 708.6356068849564
────────────────────────── Epoch 245/283 - Validation ──────────────────────────
╔═ Epoch 245/283 Summary ═╗
║ Validation Loss: 1.4764 ║
║ Accuracy: 98.47% ║
╚═════════════════════════╝
─────────────────────────── Epoch 246/283 - Training ───────────────────────────
Epoch-Loss: 708.49045586586
────────────────────────── Epoch 246/283 - Validation ──────────────────────────
╔═ Epoch 246/283 Summary ═╗
║ Validation Loss: 1.4768 ║
║ Accuracy: 98.40% ║
╚═════════════════════════╝
─────────────────────────── Epoch 247/283 - Training ───────────────────────────
Epoch-Loss: 708.6033761501312
────────────────────────── Epoch 247/283 - Validation ──────────────────────────
╔═ Epoch 247/283 Summary ═╗
║ Validation Loss: 1.4754 ║
║ Accuracy: 98.55% ║
╚═════════════════════════╝
─────────────────────────── Epoch 248/283 - Training ───────────────────────────
Epoch-Loss: 708.4847755432129
────────────────────────── Epoch 248/283 - Validation ──────────────────────────
╔═ Epoch 248/283 Summary ═╗
║ Validation Loss: 1.4754 ║
║ Accuracy: 98.56% ║
╚═════════════════════════╝
─────────────────────────── Epoch 249/283 - Training ───────────────────────────
Epoch-Loss: 708.5157754421234
────────────────────────── Epoch 249/283 - Validation ──────────────────────────
╔═ Epoch 249/283 Summary ═╗
║ Validation Loss: 1.4759 ║
║ Accuracy: 98.49% ║
╚═════════════════════════╝
─────────────────────────── Epoch 250/283 - Training ───────────────────────────
Epoch-Loss: 708.6329914331436
────────────────────────── Epoch 250/283 - Validation ──────────────────────────
╔═ Epoch 250/283 Summary ═╗
║ Validation Loss: 1.4757 ║
║ Accuracy: 98.51% ║
╚═════════════════════════╝
─────────────────────────── Epoch 251/283 - Training ───────────────────────────
Epoch-Loss: 708.5999276638031
────────────────────────── Epoch 251/283 - Validation ──────────────────────────
╔═ Epoch 251/283 Summary ═╗
║ Validation Loss: 1.4770 ║
║ Accuracy: 98.37% ║
╚═════════════════════════╝
─────────────────────────── Epoch 252/283 - Training ───────────────────────────
Epoch-Loss: 708.5624152421951
────────────────────────── Epoch 252/283 - Validation ──────────────────────────
╔═ Epoch 252/283 Summary ═╗
║ Validation Loss: 1.4757 ║
║ Accuracy: 98.55% ║
╚═════════════════════════╝
─────────────────────────── Epoch 253/283 - Training ───────────────────────────
Epoch-Loss: 708.5951098203659
────────────────────────── Epoch 253/283 - Validation ──────────────────────────
╔═ Epoch 253/283 Summary ═╗
║ Validation Loss: 1.4757 ║
║ Accuracy: 98.50% ║
╚═════════════════════════╝
─────────────────────────── Epoch 254/283 - Training ───────────────────────────
Epoch-Loss: 708.4866738319397
────────────────────────── Epoch 254/283 - Validation ──────────────────────────
╔═ Epoch 254/283 Summary ═╗
║ Validation Loss: 1.4762 ║
║ Accuracy: 98.48% ║
╚═════════════════════════╝
─────────────────────────── Epoch 255/283 - Training ───────────────────────────
Epoch-Loss: 708.5510590076447
────────────────────────── Epoch 255/283 - Validation ──────────────────────────
╔═ Epoch 255/283 Summary ═╗
║ Validation Loss: 1.4766 ║
║ Accuracy: 98.45% ║
╚═════════════════════════╝
─────────────────────────── Epoch 256/283 - Training ───────────────────────────
Epoch-Loss: 708.5727307796478
────────────────────────── Epoch 256/283 - Validation ──────────────────────────
╔═ Epoch 256/283 Summary ═╗
║ Validation Loss: 1.4764 ║
║ Accuracy: 98.45% ║
╚═════════════════════════╝
─────────────────────────── Epoch 257/283 - Training ───────────────────────────
Epoch-Loss: 708.5509768724442
────────────────────────── Epoch 257/283 - Validation ──────────────────────────
╔═ Epoch 257/283 Summary ═╗
║ Validation Loss: 1.4763 ║
║ Accuracy: 98.50% ║
╚═════════════════════════╝
─────────────────────────── Epoch 258/283 - Training ───────────────────────────
Epoch-Loss: 708.4886467456818
────────────────────────── Epoch 258/283 - Validation ──────────────────────────
╔═ Epoch 258/283 Summary ═╗
║ Validation Loss: 1.4755 ║
║ Accuracy: 98.54% ║
╚═════════════════════════╝
─────────────────────────── Epoch 259/283 - Training ───────────────────────────
Epoch-Loss: 708.4511408805847
────────────────────────── Epoch 259/283 - Validation ──────────────────────────
╔═ Epoch 259/283 Summary ═╗
║ Validation Loss: 1.4756 ║
║ Accuracy: 98.53% ║
╚═════════════════════════╝
─────────────────────────── Epoch 260/283 - Training ───────────────────────────
Epoch-Loss: 708.4613647460938
────────────────────────── Epoch 260/283 - Validation ──────────────────────────
╔═ Epoch 260/283 Summary ═╗
║ Validation Loss: 1.4768 ║
║ Accuracy: 98.43% ║
╚═════════════════════════╝
─────────────────────────── Epoch 261/283 - Training ───────────────────────────
Epoch-Loss: 708.5533690452576
────────────────────────── Epoch 261/283 - Validation ──────────────────────────
╔═ Epoch 261/283 Summary ═╗
║ Validation Loss: 1.4749 ║
║ Accuracy: 98.62% ║
╚═════════════════════════╝
─────────────────────────── Epoch 262/283 - Training ───────────────────────────
Epoch-Loss: 708.6442157030106
────────────────────────── Epoch 262/283 - Validation ──────────────────────────
╔═ Epoch 262/283 Summary ═╗
║ Validation Loss: 1.4767 ║
║ Accuracy: 98.43% ║
╚═════════════════════════╝
─────────────────────────── Epoch 263/283 - Training ───────────────────────────
Epoch-Loss: 708.6341207027435
────────────────────────── Epoch 263/283 - Validation ──────────────────────────
╔═ Epoch 263/283 Summary ═╗
║ Validation Loss: 1.4765 ║
║ Accuracy: 98.46% ║
╚═════════════════════════╝
─────────────────────────── Epoch 264/283 - Training ───────────────────────────
Epoch-Loss: 708.655656337738
────────────────────────── Epoch 264/283 - Validation ──────────────────────────
╔═ Epoch 264/283 Summary ═╗
║ Validation Loss: 1.4766 ║
║ Accuracy: 98.40% ║
╚═════════════════════════╝
─────────────────────────── Epoch 265/283 - Training ───────────────────────────
Epoch-Loss: 708.5359792709351
────────────────────────── Epoch 265/283 - Validation ──────────────────────────
╔═ Epoch 265/283 Summary ═╗
║ Validation Loss: 1.4759 ║
║ Accuracy: 98.50% ║
╚═════════════════════════╝
─────────────────────────── Epoch 266/283 - Training ───────────────────────────
Epoch-Loss: 708.4714387655258
────────────────────────── Epoch 266/283 - Validation ──────────────────────────
╔═ Epoch 266/283 Summary ═╗
║ Validation Loss: 1.4758 ║
║ Accuracy: 98.55% ║
╚═════════════════════════╝
─────────────────────────── Epoch 267/283 - Training ───────────────────────────
Epoch-Loss: 708.5076028108597
────────────────────────── Epoch 267/283 - Validation ──────────────────────────
╔═ Epoch 267/283 Summary ═╗
║ Validation Loss: 1.4749 ║
║ Accuracy: 98.63% ║
╚═════════════════════════╝
─────────────────────────── Epoch 268/283 - Training ───────────────────────────
Epoch-Loss: 708.5311440229416
────────────────────────── Epoch 268/283 - Validation ──────────────────────────
╔═ Epoch 268/283 Summary ═╗
║ Validation Loss: 1.4753 ║
║ Accuracy: 98.59% ║
╚═════════════════════════╝
─────────────────────────── Epoch 269/283 - Training ───────────────────────────
Epoch-Loss: 708.5634659528732
────────────────────────── Epoch 269/283 - Validation ──────────────────────────
╔═ Epoch 269/283 Summary ═╗
║ Validation Loss: 1.4765 ║
║ Accuracy: 98.44% ║
╚═════════════════════════╝
─────────────────────────── Epoch 270/283 - Training ───────────────────────────
Epoch-Loss: 708.4958809614182
────────────────────────── Epoch 270/283 - Validation ──────────────────────────
╔═ Epoch 270/283 Summary ═╗
║ Validation Loss: 1.4761 ║
║ Accuracy: 98.50% ║
╚═════════════════════════╝
─────────────────────────── Epoch 271/283 - Training ───────────────────────────
Epoch-Loss: 708.4687831401825
────────────────────────── Epoch 271/283 - Validation ──────────────────────────
╔═ Epoch 271/283 Summary ═╗
║ Validation Loss: 1.4757 ║
║ Accuracy: 98.53% ║
╚═════════════════════════╝
─────────────────────────── Epoch 272/283 - Training ───────────────────────────
Epoch-Loss: 708.496866106987
────────────────────────── Epoch 272/283 - Validation ──────────────────────────
╔═ Epoch 272/283 Summary ═╗
║ Validation Loss: 1.4761 ║
║ Accuracy: 98.52% ║
╚═════════════════════════╝
─────────────────────────── Epoch 273/283 - Training ───────────────────────────
Epoch-Loss: 708.390053987503
────────────────────────── Epoch 273/283 - Validation ──────────────────────────
╔═ Epoch 273/283 Summary ═╗
║ Validation Loss: 1.4758 ║
║ Accuracy: 98.55% ║
╚═════════════════════════╝
─────────────────────────── Epoch 274/283 - Training ───────────────────────────
Epoch-Loss: 708.4352577924728
────────────────────────── Epoch 274/283 - Validation ──────────────────────────
╔═ Epoch 274/283 Summary ═╗
║ Validation Loss: 1.4763 ║
║ Accuracy: 98.48% ║
╚═════════════════════════╝
─────────────────────────── Epoch 275/283 - Training ───────────────────────────
Epoch-Loss: 708.685872554779
────────────────────────── Epoch 275/283 - Validation ──────────────────────────
╔═ Epoch 275/283 Summary ═╗
║ Validation Loss: 1.4756 ║
║ Accuracy: 98.57% ║
╚═════════════════════════╝
─────────────────────────── Epoch 276/283 - Training ───────────────────────────
Epoch-Loss: 708.4781486988068
────────────────────────── Epoch 276/283 - Validation ──────────────────────────
╔═ Epoch 276/283 Summary ═╗
║ Validation Loss: 1.4758 ║
║ Accuracy: 98.55% ║
╚═════════════════════════╝
─────────────────────────── Epoch 277/283 - Training ───────────────────────────
Epoch-Loss: 708.4650174379349
────────────────────────── Epoch 277/283 - Validation ──────────────────────────
╔═ Epoch 277/283 Summary ═╗
║ Validation Loss: 1.4753 ║
║ Accuracy: 98.59% ║
╚═════════════════════════╝
─────────────────────────── Epoch 278/283 - Training ───────────────────────────
Epoch-Loss: 708.3454098701477
────────────────────────── Epoch 278/283 - Validation ──────────────────────────
╔═ Epoch 278/283 Summary ═╗
║ Validation Loss: 1.4761 ║
║ Accuracy: 98.50% ║
╚═════════════════════════╝
─────────────────────────── Epoch 279/283 - Training ───────────────────────────
Epoch-Loss: 708.5273759365082
────────────────────────── Epoch 279/283 - Validation ──────────────────────────
╔═ Epoch 279/283 Summary ═╗
║ Validation Loss: 1.4772 ║
║ Accuracy: 98.37% ║
╚═════════════════════════╝
─────────────────────────── Epoch 280/283 - Training ───────────────────────────
Epoch-Loss: 708.4424098730087
────────────────────────── Epoch 280/283 - Validation ──────────────────────────
╔═ Epoch 280/283 Summary ═╗
║ Validation Loss: 1.4759 ║
║ Accuracy: 98.53% ║
╚═════════════════════════╝
─────────────────────────── Epoch 281/283 - Training ───────────────────────────
Epoch-Loss: 708.6466135978699
────────────────────────── Epoch 281/283 - Validation ──────────────────────────
╔═ Epoch 281/283 Summary ═╗
║ Validation Loss: 1.4765 ║
║ Accuracy: 98.46% ║
╚═════════════════════════╝
─────────────────────────── Epoch 282/283 - Training ───────────────────────────
Epoch-Loss: 708.5260463953018
────────────────────────── Epoch 282/283 - Validation ──────────────────────────
╔═ Epoch 282/283 Summary ═╗
║ Validation Loss: 1.4761 ║
║ Accuracy: 98.49% ║
╚═════════════════════════╝
─────────────────────────── Epoch 283/283 - Training ───────────────────────────
Epoch-Loss: 708.4350459575653
────────────────────────── Epoch 283/283 - Validation ──────────────────────────
╔═ Epoch 283/283 Summary ═╗
║ Validation Loss: 1.4771 ║
║ Accuracy: 98.39% ║
╚═════════════════════════╝
VAL_LOSS: 1.4770750410762834
VAL_ACC: 98.39
RUNTIME: 1864.945
stderr was empty
Result: {'VAL_ACC': 98.39, 'RUNTIME': 1864.945}
Final-results: {'VAL_ACC': 98.39, 'RUNTIME': 1864.945}
EXIT_CODE: 0
submitit INFO (2025-08-11 14:06:57,308) - Job completed successfully
submitit INFO (2025-08-11 14:06:57,311) - Exiting after successful completion
