Delete train_INFO.log

train_INFO.log

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-Visible device: cuda
-Seed used: 0
-Vectorizer: Data set used is multiwoz21
-Start training
-Epoch: 0
-Precision: 0
-Recall: 0
-F1: 0
-Best Precision: 0.0
-Best Recall: 0.0
-Best F1: 0.0
-Epoch: 1
-Precision: 0
-Recall: 0
-F1: 0
-Best Precision: 0.0
-Best Recall: 0.0
-Best F1: 0.0
-Epoch: 2
-Average actions: 3.803938627243042
-Average target actions: 2.6072394847869873
-Precision: 0.36443668246783334
-Recall: 0.5317489209007229
-F1: 0.43247472824937616
-<<dialog policy>> epoch 2: saved network to mdl
-Best Precision: 0.36443668246783334
-Best Recall: 0.5317489209007229
-Best F1: 0.43247472824937616
-Epoch: 3
-Precision: 0.36443668246783334
-Recall: 0.5317489209007229
-F1: 0.43247472824937616
-Best Precision: 0.36443668246783334
-Best Recall: 0.5317489209007229
-Best F1: 0.43247472824937616
-Epoch: 4
-Average actions: 4.113307952880859
-Average target actions: 2.6075873374938965
-Precision: 0.3832530835696854
-Recall: 0.6043475999791981
-F1: 0.46905208774797685
-<<dialog policy>> epoch 4: saved network to mdl
-Best Precision: 0.3832530835696854
-Best Recall: 0.6043475999791981
-Best F1: 0.46905208774797685
-Epoch: 5
-Precision: 0.3832530835696854
-Recall: 0.6043475999791981
-F1: 0.46905208774797685
-Best Precision: 0.3832530835696854
-Best Recall: 0.6043475999791981
-Best F1: 0.46905208774797685
-Epoch: 6
-Average actions: 4.202342510223389
-Average target actions: 2.6075873374938965
-Precision: 0.3931234866828087
-Recall: 0.6332622601279317
-F1: 0.4851007887817704
-<<dialog policy>> epoch 6: saved network to mdl
-Best Precision: 0.3931234866828087
-Best Recall: 0.6332622601279317
-Best F1: 0.4851007887817704
-Epoch: 7
-Precision: 0.3931234866828087
-Recall: 0.6332622601279317
-F1: 0.4851007887817704
-Best Precision: 0.3931234866828087
-Best Recall: 0.6332622601279317
-Best F1: 0.4851007887817704
-Epoch: 8
-Average actions: 4.356949806213379
-Average target actions: 2.6075873374938965
-Precision: 0.3951788491446345
-Recall: 0.6607207863123408
-F1: 0.4945600342552405
-<<dialog policy>> epoch 8: saved network to mdl
-Best Precision: 0.3951788491446345
-Best Recall: 0.6607207863123408
-Best F1: 0.4945600342552405
-Epoch: 9
-Precision: 0.3951788491446345
-Recall: 0.6607207863123408
-F1: 0.4945600342552405
-Best Precision: 0.3951788491446345
-Best Recall: 0.6607207863123408
-Best F1: 0.4945600342552405
-Epoch: 10
-Average actions: 4.292381763458252
-Average target actions: 2.6075873374938965
-Precision: 0.4069264069264069
-Recall: 0.6697176140204899
-F1: 0.5062504913908326
-<<dialog policy>> epoch 10: saved network to mdl
-Best Precision: 0.4069264069264069
-Best Recall: 0.6697176140204899
-Best F1: 0.5062504913908326
-Epoch: 11
-Precision: 0.4069264069264069
-Recall: 0.6697176140204899
-F1: 0.5062504913908326
-Best Precision: 0.4069264069264069
-Best Recall: 0.6697176140204899
-Best F1: 0.5062504913908326
-Epoch: 12
-Average actions: 4.411757946014404
-Average target actions: 2.608457088470459
-Precision: 0.4065842862412394
-Recall: 0.6878672837901086
-F1: 0.5110797704835687
-<<dialog policy>> epoch 12: saved network to mdl
-Best Precision: 0.4069264069264069
-Best Recall: 0.6878672837901086
-Best F1: 0.5110797704835687
-Epoch: 13
-Precision: 0.4065842862412394
-Recall: 0.6878672837901086
-F1: 0.5110797704835687
-Best Precision: 0.4069264069264069
-Best Recall: 0.6878672837901086
-Best F1: 0.5110797704835687
-Epoch: 14
-Average actions: 4.343286514282227
-Average target actions: 2.608804702758789
-Precision: 0.4146211979264256
-Recall: 0.6904675230121171
-F1: 0.5181167196737625
-<<dialog policy>> epoch 14: saved network to mdl
-Best Precision: 0.4146211979264256
-Best Recall: 0.6904675230121171
-Best F1: 0.5181167196737625
-Epoch: 15
-Precision: 0.4146211979264256
-Recall: 0.6904675230121171
-F1: 0.5181167196737625
-Best Precision: 0.4146211979264256
-Best Recall: 0.6904675230121171
-Best F1: 0.5181167196737625
-Epoch: 16
-Average actions: 4.276244640350342
-Average target actions: 2.608457088470459
-Precision: 0.4216435662406039
-Recall: 0.6913516043476
-F1: 0.5238189053942235
-<<dialog policy>> epoch 16: saved network to mdl
-Best Precision: 0.4216435662406039
-Best Recall: 0.6913516043476
-Best F1: 0.5238189053942235
-Epoch: 17
-Precision: 0.4216435662406039
-Recall: 0.6913516043476
-F1: 0.5238189053942235
-Best Precision: 0.4216435662406039
-Best Recall: 0.6913516043476
-Best F1: 0.5238189053942235
-Epoch: 18
-Average actions: 4.305194854736328
-Average target actions: 2.6089789867401123
-Precision: 0.4217372134038801
-Recall: 0.6963960684382964
-F1: 0.5253329671838528
-<<dialog policy>> epoch 18: saved network to mdl
-Best Precision: 0.4217372134038801
-Best Recall: 0.6963960684382964
-Best F1: 0.5253329671838528
-Epoch: 19
-Precision: 0.4217372134038801
-Recall: 0.6963960684382964
-F1: 0.5253329671838528
-Best Precision: 0.4217372134038801
-Best Recall: 0.6963960684382964
-Best F1: 0.5253329671838528
-Epoch: 20
-Average actions: 4.321138858795166
-Average target actions: 2.6060221195220947
-Precision: 0.42330383480825956
-Recall: 0.7014925373134329
-F1: 0.5279968685781387
-<<dialog policy>> epoch 20: saved network to mdl
-Best Precision: 0.42330383480825956
-Best Recall: 0.7014925373134329
-Best F1: 0.5279968685781387
-Epoch: 21
-Precision: 0.42330383480825956
-Recall: 0.7014925373134329
-F1: 0.5279968685781387
-Best Precision: 0.42330383480825956
-Best Recall: 0.7014925373134329
-Best F1: 0.5279968685781387
-Epoch: 22
-Average actions: 4.332869529724121
-Average target actions: 2.6077613830566406
-Precision: 0.42460478948192204
-Recall: 0.7053928961464455
-F1: 0.5301129479813969
-<<dialog policy>> epoch 22: saved network to mdl
-Best Precision: 0.42460478948192204
-Best Recall: 0.7053928961464455
-Best F1: 0.5301129479813969
-Epoch: 23
-Precision: 0.42460478948192204
-Recall: 0.7053928961464455
-F1: 0.5301129479813969
-Best Precision: 0.42460478948192204
-Best Recall: 0.7053928961464455
-Best F1: 0.5301129479813969