{"nbformat":4,"nbformat_minor":0,"metadata":{"accelerator":"GPU","colab":{"name":"2022-01-23-nicf.ipynb","provenance":[{"file_id":"https://github.com/recohut/nbs/blob/main/raw/T239645%20%7C%20Neural%20Interactive%20Collaborative%20Filtering.ipynb","timestamp":1644662653422}],"collapsed_sections":[],"toc_visible":true,"authorship_tag":"ABX9TyOmSeMlThFE6aQCq0mGQxxi"},"kernelspec":{"display_name":"Python 3","name":"python3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"markdown","metadata":{"id":"j_iezICyf5Mw"},"source":["# Neural Interactive Collaborative Filtering"]},{"cell_type":"code","metadata":{"id":"X1j5UFHN0da9"},"source":["!pip install ipdb"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"vdCkSXqAzkJ6","executionInfo":{"elapsed":822,"status":"ok","timestamp":1634836205473,"user":{"displayName":"Sparsh Agarwal","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"13037694610922482904"},"user_tz":-330},"outputId":"9d662b24-fe49-42e8-a155-06c36190dbea"},"source":["!git clone https://github.com/guyulongcs/SIGIR2020_NICF.git"],"execution_count":null,"outputs":[{"name":"stdout","output_type":"stream","text":["Cloning into 'SIGIR2020_NICF'...\n","remote: Enumerating objects: 45, done.\u001b[K\n","remote: Counting objects: 100% (45/45), done.\u001b[K\n","remote: Compressing objects: 100% (35/35), done.\u001b[K\n","remote: Total 45 (delta 7), reused 41 (delta 3), pack-reused 0\u001b[K\n","Unpacking objects: 100% (45/45), done.\n"]}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Z5RoYOnq0pJV","executionInfo":{"elapsed":646,"status":"ok","timestamp":1634836206116,"user":{"displayName":"Sparsh Agarwal","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"13037694610922482904"},"user_tz":-330},"outputId":"f4c028e6-661d-4856-aebf-71ae42bada87"},"source":["%cd SIGIR2020_NICF/NICF_code"],"execution_count":null,"outputs":[{"name":"stdout","output_type":"stream","text":["/content/SIGIR2020_NICF/NICF_code\n"]}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Z3wu_uqMv6vT","executionInfo":{"elapsed":7,"status":"ok","timestamp":1634836449818,"user":{"displayName":"Sparsh Agarwal","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"13037694610922482904"},"user_tz":-330},"outputId":"27d41e80-5a65-430d-e6ea-0caa7fad5ee3"},"source":["!head data/data/env.dat"],"execution_count":null,"outputs":[{"name":"stdout","output_type":"stream","text":["1\t3:1\t415:3\t445:5\t329:4\t47:3\t158:5\t619:5\t157:4\t895:1\t539:4\t254:4\t480:3\t322:5\t732:1\t894:1\t418:4\t308:5\t103:5\t96:1\t469:1\t15:1\t141:4\t579:1\t83:5\t975:4\t924:4\t623:5\t404:3\t312:5\t13:4\t369:5\t460:1\t529:4\t522:1\t106:4\t24:4\t439:4\t608:3\t759:4\t330:5\t198:1\t333:3\t996:1\t159:5\t1024:5\t97:5\t162:4\t475:4\t814:1\t837:1\t222:5\t89:4\t35:5\t113:4\t657:1\t368:5\t248:5\t1078:3\t630:4\t438:1\t360:5\t528:3\t59:5\t592:5\t938:1\t9:4\t770:4\t847:1\t818:3\t1252:1\t556:1\t355:4\t147:2\t227:1\t459:1\t180:5\t167:4\t900:1\t374:5\t479:1\t343:3\t364:3\t289:4\t901:3\t614:5\t802:3\t77:2\t26:3\t304:1\t199:4\t562:5\t107:4\t1133:1\t45:4\t202:4\t53:5\t325:4\t917:3\t477:3\t23:5\t148:2\t457:4\t188:1\t363:4\t56:3\t708:5\t259:4\t348:3\t218:5\t183:4\t367:4\t48:5\t190:5\t526:1\t297:4\t306:5\t137:1\t358:5\t94:4\t63:4\t102:5\t1259:1\t309:3\t115:4\t7:3\t505:3\t587:4\t209:4\n","2\t4:2\t125:4\t132:2\t161:3\t308:3\t7:4\t325:2\t378:4\t450:4\t369:1\t257:4\t512:3\t162:4\t194:4\t528:3\t89:5\t265:3\t578:2\t435:4\t218:5\t574:4\t818:3\t823:5\t527:3\t210:4\t167:4\t865:4\t177:2\t330:5\t644:4\t50:4\t321:2\t769:5\t850:4\t78:5\t27:4\t461:5\t741:4\t349:3\t650:4\t433:4\t341:4\t1090:2\t363:3\t797:5\t288:4\t498:4\t493:5\t759:1\t561:3\t80:2\t591:4\t97:5\t184:5\t1120:2\t779:4\t366:3\t66:4\t60:4\t676:5\t409:4\t488:3\t511:4\t297:2\t243:4\t414:3\t657:4\t572:4\t255:5\t1246:5\t368:5\t617:4\t151:3\t158:5\t715:2\t96:4\t248:4\t419:4\t54:5\t1055:4\t53:4\t701:5\t356:4\t141:2\t339:5\t668:3\t119:4\t708:3\t550:4\t94:4\t198:3\t316:4\t192:4\t227:1\t258:4\t337:2\t589:1\t359:2\t135:4\t104:5\t143:4\t526:2\t683:4\t457:4\t1211:3\t178:2\t894:3\t888:5\t750:4\t173:4\t735:5\t446:5\t474:4\t98:2\t646:3\t405:2\t216:3\t477:4\t14:2\t436:3\t863:4\t1057:5\t286:4\t121:1\t268:4\t9:4\t39:2\t500:4\t10:4\t711:4\t292:4\t114:5\t84:4\t1139:5\t152:3\t1019:3\t719:5\t1050:4\t384:5\t466:4\t469:4\t245:4\t367:1\t889:4\t397:4\t168:2\t556:2\t208:3\t322:4\t1077:3\t935:4\t541:4\t432:5\t31:5\t240:5\t102:3\t201:5\t756:4\t352:4\t140:5\t234:5\t690:4\t206:3\t317:3\t1172:4\t228:1\t733:4\t358:5\t241:5\t232:3\t274:4\t658:5\t529:3\t278:5\t615:4\t13:2\t112:5\t853:4\t798:4\t310:4\t665:4\t611:4\t182:1\t1093:4\t329:3\t480:5\t209:5\t424:4\t47:4\t388:4\t65:5\t25:4\t1144:3\t946:3\t1078:3\t655:5\t775:2\t443:3\t795:3\t23:1\t503:5\t199:4\t948:4\t24:2\t634:4\t588:4\t962:2\t597:4\t222:4\t613:4\t196:5\t1620:5\t383:4\t30:3\t303:3\t197:3\t391:3\t200:5\t630:4\t696:5\t755:3\t472:4\t401:3\t204:4\t299:2\t1035:4\t516:4\t318:4\t33:4\t645:2\t217:5\t1101:3\t34:4\t1017:5\t404:1\t159:2\t835:4\t819:3\n","3\t6:4\t112:4\t152:3\t22:3\t53:4\t85:4\t654:3\t351:4\t504:3\t530:2\t390:5\t203:4\t531:4\t1003:4\t51:4\t104:3\t32:4\t545:4\t8:4\t662:4\t466:3\t823:3\t162:4\t92:5\t23:4\t113:4\t100:5\t78:5\t114:3\t782:3\t290:4\t924:5\t808:3\t630:5\t936:4\t192:4\t310:5\t274:4\t568:3\t472:4\t226:4\t18:3\t180:3\t362:3\t1152:4\t186:5\t507:3\t341:3\t481:3\t539:4\t121:4\t257:3\t410:3\t175:5\t239:4\t658:5\t35:5\t96:3\t391:4\t259:5\t261:5\t95:4\t201:5\t25:5\t157:5\t11:4\t221:3\t24:4\t321:4\t109:4\t434:4\t754:5\t37:5\t190:5\t308:4\t623:5\t273:4\t409:4\t446:3\t726:5\t529:4\t57:5\t368:5\t1050:3\t320:5\t222:3\t242:4\t343:5\t58:5\t97:5\t562:4\t34:5\t54:4\t407:4\t138:3\t33:5\t7:4\t245:5\t696:2\t136:5\t465:4\t101:5\t126:5\t348:5\t281:5\t63:5\t276:4\t102:5\t358:5\t404:4\t67:5\t26:3\t303:3\t553:3\t974:4\t248:4\t503:4\t241:5\t360:5\t784:3\t365:3\t90:3\t111:3\t294:3\t648:4\t55:3\t695:5\n","4\t7:2\t60:3\t267:4\t390:5\t190:5\t500:4\t183:4\t30:5\t230:4\t366:4\t192:1\t754:5\t300:4\t162:4\t139:5\t539:5\t402:5\t615:2\t39:5\t155:4\t525:2\t232:4\t356:5\t218:5\t512:3\t298:5\t747:2\t121:2\t360:5\t817:1\t100:1\t535:3\t1124:5\t53:4\t809:5\t1207:5\t503:5\t355:4\t358:5\t186:5\t173:2\t492:3\t409:3\t78:2\t341:1\t210:5\t404:3\t257:5\t48:4\t241:5\t250:4\t379:3\t103:3\t217:5\t142:4\t146:5\t95:5\t102:5\t161:3\t32:3\t598:4\t661:3\t433:5\t414:5\t874:5\t149:5\t497:5\t126:5\t312:5\t112:5\t790:4\t77:3\t328:3\t648:4\t171:5\t407:2\t393:3\t802:3\t733:4\t157:4\t536:3\t362:5\t731:5\t212:3\t2:4\t863:5\t694:3\t50:5\t491:4\t141:4\t291:5\t243:5\n","5\t8:5\t340:2\t321:4\t208:3\t619:5\t167:4\t358:4\t257:5\t507:4\t591:3\t175:5\t348:4\t236:5\t202:4\t96:4\t477:4\t78:4\t318:4\t190:5\t698:3\t322:5\t289:2\t658:5\t648:4\t365:4\t154:3\t141:5\t495:4\t27:4\t395:2\t694:4\t548:5\t239:5\t486:4\t669:2\t240:5\t100:5\t218:4\t157:5\t281:2\t32:5\t142:3\t99:4\t352:3\t367:4\t562:4\t357:3\t217:3\t434:5\t409:5\t609:3\t88:3\t730:5\t298:5\t180:5\t653:4\t390:4\t50:4\t253:4\t98:2\t69:4\t205:3\t891:5\t111:5\t55:3\t882:4\t177:4\t483:5\t103:5\t553:3\t406:4\t13:4\t1456:3\t695:5\t222:3\t480:3\t1302:3\t489:5\t25:5\t731:1\t419:4\t929:3\t67:5\t432:4\t30:4\t868:5\t404:5\t319:4\t232:3\t101:5\t368:3\t82:5\t114:4\t262:3\t48:4\t1025:5\t201:5\n","6\t9:3\t67:5\t141:2\t121:4\t196:2\t285:4\t310:3\t497:4\t68:4\t175:5\t157:3\t230:1\t358:5\t237:5\t360:4\t170:4\t342:1\t509:5\t768:5\t308:4\t185:3\t507:4\t69:1\t548:1\t330:3\t94:5\t55:3\t217:1\t547:3\t167:5\t134:4\t83:2\t2:4\t348:3\t902:3\t278:5\t950:3\t11:2\t1010:1\t1067:3\t916:4\t678:4\t86:3\t263:3\t154:4\t731:2\t104:4\t495:3\t387:2\t241:5\t990:5\t474:2\t352:4\t118:1\t383:3\t466:4\t602:3\t89:4\t558:3\t1084:4\t186:4\t695:2\t318:2\t539:4\t248:2\t50:3\t102:3\t115:1\t754:5\t483:3\t261:5\t347:3\t406:3\t502:3\t140:3\t158:4\t131:3\t671:4\t1345:4\t432:4\t694:3\t361:4\t691:5\t734:5\t369:3\t210:4\t289:4\t137:3\t45:3\t31:3\t58:4\t32:4\t1057:5\t658:5\t78:2\t257:4\t1112:4\t570:4\t103:3\t863:4\t298:5\t681:4\t670:4\t114:3\t176:3\t73:4\t304:3\t34:2\t368:4\t1444:2\t126:3\t403:1\t222:3\t316:3\t803:4\t44:3\t240:5\t404:3\t572:4\t857:4\t113:3\t290:4\t587:4\t40:3\t624:4\t245:2\t112:4\t809:1\t1017:4\t79:5\t424:4\t397:2\t786:5\t119:3\t523:5\t1429:3\t53:4\t276:4\t471:3\t374:3\t180:3\t262:3\t530:2\t326:5\t1109:2\t735:4\t200:5\t493:1\t350:3\t648:3\t1289:3\t54:4\t72:4\t303:3\t171:5\t57:3\t480:2\t23:2\t162:4\t492:4\t588:3\t25:5\t653:3\t802:3\t93:5\t1115:4\t236:4\t488:3\t255:3\t277:5\t181:5\t1055:2\t218:3\t755:4\t187:3\t513:5\t355:4\t246:2\t211:5\t148:2\t279:2\t251:4\t639:4\t22:5\t781:4\t274:2\t473:3\t312:4\t250:3\t6:5\t90:2\t201:3\t861:2\t356:4\t10:4\t650:3\t845:3\t433:3\t448:3\t327:3\t300:5\t331:3\t183:2\t575:3\t736:2\t292:3\t551:3\t1146:3\t819:4\t943:5\t412:3\t13:2\t808:5\t111:2\t192:3\t1:5\t190:5\t321:4\t322:3\t477:3\t242:3\t534:5\n","7\t10:3\t134:5\t32:5\t510:4\t405:2\t158:2\t192:3\t600:4\t95:4\t455:5\t187:4\t243:3\t736:5\t241:4\t57:2\t90:4\t96:2\t596:4\t922:3\t343:5\t572:4\t531:1\t970:3\t949:4\t27:2\t356:5\t461:4\t261:5\t751:5\t94:4\t1070:4\t174:1\t89:3\t289:4\t562:5\t92:4\t318:3\t568:4\t51:4\t59:4\t352:3\t726:3\t221:4\t424:3\t921:5\t104:3\t126:5\t486:5\t547:5\t755:4\t472:2\t980:4\t937:5\t141:2\t39:4\t69:3\t119:5\t290:2\t542:4\t553:3\t242:5\t1077:1\t276:4\t257:4\t688:4\t274:5\t113:4\t612:5\t139:4\t33:3\t175:5\t63:3\t1295:2\t330:5\t406:4\t97:4\t58:3\t22:4\t575:5\t874:5\t217:4\t889:4\t747:3\t248:3\t360:4\t82:3\t121:2\t74:3\t539:5\t407:2\t41:4\t237:3\t476:4\t492:4\t548:4\t201:4\t696:2\t1326:4\t582:3\t50:5\t79:4\t849:4\t107:3\t114:3\t730:4\t72:5\t409:3\t136:4\t358:4\t231:4\t278:4\t31:3\t428:3\t1152:3\t8:1\t501:4\t268:4\t138:3\t252:3\t296:5\t338:3\t695:4\t768:4\t619:4\t724:5\t906:4\t507:3\t233:5\t340:1\t754:4\t111:5\t149:5\t227:2\t240:4\t102:4\t327:4\t226:4\t593:4\t433:2\t512:2\t308:4\t68:4\t255:4\t18:4\t186:4\t782:2\t181:4\t1168:2\t67:4\t623:4\t131:4\t137:1\t639:4\t35:4\t109:5\t146:4\t298:4\t2:4\t692:2\t310:4\t368:4\t244:3\t532:1\t362:5\t157:3\t322:5\t140:3\t924:4\t672:3\t222:4\t218:4\t210:2\t731:4\t658:4\t983:5\t538:4\t112:3\t897:5\t11:2\t190:5\t285:3\t25:4\t323:2\t1:4\t154:3\t746:2\t101:5\t300:5\t429:4\t6:5\t857:4\t624:4\t752:2\t503:4\t1003:3\t334:4\t228:3\t845:2\t381:4\t513:3\t100:4\t903:4\t167:5\t84:2\t357:4\t390:4\t78:2\t716:2\t1139:4\t868:5\t180:3\n","8\t11:2\t92:4\t93:3\t107:3\t204:4\t363:4\t298:4\t88:4\t209:1\t438:2\t357:5\t10:2\t2:3\t575:4\t480:5\t61:2\t101:5\t84:3\t613:4\t158:5\t809:4\t614:4\t359:2\t845:4\t599:1\t206:3\t155:3\t48:4\t948:3\t143:3\t472:3\t741:3\t119:4\t152:3\t914:2\t98:2\t317:4\t782:4\t519:5\t103:4\t715:1\t658:4\t873:2\t390:5\t218:5\t1057:4\t222:4\t96:1\t154:4\t345:1\t1144:3\t381:4\t50:4\t135:4\t478:1\t257:4\t322:5\t314:2\t1147:2\t250:1\t453:3\t493:4\t404:4\t94:4\t527:1\t182:4\t24:2\t66:3\t444:3\t798:4\t356:4\t243:4\t201:5\t568:4\t303:3\t312:5\t125:3\t572:4\t383:2\t1109:4\t992:3\t1055:4\t254:1\t553:4\t365:2\t466:4\t290:3\t58:3\t395:2\t53:4\t60:4\t1238:3\t99:3\t645:3\t151:5\t234:3\t109:3\t167:4\t300:2\t77:3\t961:2\t183:3\t368:5\t615:1\t134:4\t541:4\t734:2\t400:5\t338:4\t795:3\t503:4\t306:5\t318:3\t446:2\t475:2\t142:4\t355:2\t351:3\t217:5\t764:3\t401:3\t47:1\t198:1\t424:3\t432:3\t571:4\t358:5\t68:4\t25:2\t978:4\t315:3\t530:4\t324:2\t473:3\t330:5\t102:4\t532:2\t129:2\t195:3\t601:4\t13:5\t470:3\t694:5\t113:5\t32:4\t935:2\t630:4\t83:4\t211:3\t321:2\t286:4\t708:3\t857:3\t528:2\t54:4\t502:3\t202:3\t17:2\t896:3\t297:3\t175:4\t137:3\t241:4\t276:4\t670:4\t574:5\t510:4\t445:2\t668:2\t889:5\t279:2\t605:1\t294:3\t1177:3\t723:5\t611:4\t23:3\t118:2\t319:4\t190:4\t433:4\t1009:2\t644:3\t406:4\t310:4\t348:4\t6:4\t823:4\t192:4\t232:4\t588:3\t1617:4\t1207:3\t270:1\t813:2\t200:4\t197:1\t483:5\t159:3\t139:3\t539:4\t261:4\t9:3\t162:5\t436:2\t248:3\t78:3\t339:2\t691:3\t818:2\t409:4\t550:3\t552:4\t26:4\t161:2\t416:1\t461:4\t666:3\t1010:4\t210:4\t90:4\t141:4\t591:3\t513:4\t696:5\t255:5\t755:5\t69:2\t245:3\t104:5\t1035:1\t240:4\n","9\t12:5\t97:4\t124:5\t200:4\t57:4\t78:2\t61:5\t222:5\t481:4\t241:4\t208:4\t154:4\t289:5\t557:5\t470:3\t592:5\t89:4\t762:5\t147:3\t776:5\t384:3\t277:4\t158:4\t863:4\t221:4\t210:4\t891:5\t104:5\t758:2\t946:3\t694:5\t432:3\t419:5\t977:5\t285:2\t492:5\t50:3\t1016:5\t8:5\t131:5\t156:3\t74:5\t151:3\t51:3\t433:2\t386:4\t402:3\t54:4\t183:3\t136:5\t217:2\t103:4\t813:2\t125:3\t30:3\t579:5\t255:4\t194:1\t195:4\t143:4\t230:5\t332:1\t60:4\t137:3\t218:4\t1119:3\t29:4\t567:1\t68:2\t988:3\t358:4\t692:5\t750:5\t555:4\t531:3\t77:1\t793:2\t1207:2\t1269:3\t844:4\t341:3\t902:2\t400:4\t368:4\t15:2\t936:2\t880:1\t361:5\t283:2\t198:4\t346:5\t173:3\t25:4\t901:3\t380:5\t113:4\t1230:5\t337:1\t528:2\t34:4\t534:5\t948:1\t457:2\t87:3\t140:4\t892:4\t987:4\t671:5\t795:4\t708:3\t1164:3\t295:5\t527:4\t787:3\t367:5\t587:3\t26:1\t190:4\t292:4\t389:1\t519:1\t90:4\t611:4\t58:4\t530:4\t196:1\t1407:4\t532:3\t529:4\t818:5\t28:3\t378:5\t1422:5\t553:4\t308:5\t338:4\t657:2\t279:3\t973:5\t513:1\t523:5\t122:5\t686:3\t1059:5\t425:3\t356:4\t839:5\t312:4\t53:3\t84:5\t1390:5\t779:4\t1035:4\t607:2\t453:5\t1023:5\t94:4\t23:3\t167:4\t404:3\t134:4\t1102:3\t581:4\t434:5\t450:5\t615:2\t263:1\t339:3\t982:3\t1120:2\t905:3\t166:2\t1166:1\t501:2\t343:4\t493:5\t817:5\t232:3\t679:4\t207:5\t14:4\t482:4\t746:5\t956:5\t533:4\t682:4\t174:4\t162:4\t650:5\t658:4\t480:5\t27:5\t1406:5\t1339:5\t326:5\t832:3\t348:5\t101:5\t246:3\t102:4\t1193:5\t175:5\t436:3\t149:4\t1534:2\t605:4\t374:3\t631:5\t311:4\t424:5\t1050:3\t236:4\t405:5\t365:5\t258:3\t9:5\t1105:3\t608:3\t325:4\t393:4\t752:4\t620:4\t48:5\t1000:5\t1055:4\t655:3\t300:5\t366:2\t890:3\t248:3\t180:4\t93:5\t1068:4\t135:5\t355:5\t349:5\t591:4\t409:4\t141:2\t11:3\t717:4\t678:5\t416:4\t666:5\t900:3\t1049:2\t168:3\t926:5\t735:4\t66:4\t954:2\t206:1\t632:4\t278:3\t859:3\t321:4\t237:3\t159:1\t306:4\t18:2\t862:5\t179:4\t40:3\t406:3\t960:4\t345:5\t181:4\t234:2\t782:3\t797:5\t182:4\t853:5\t745:5\t322:4\t257:4\t552:4\t294:3\t1057:2\t245:3\t843:4\t962:4\t1224:5\t414:3\t227:5\t1139:4\t823:4\t550:4\t83:5\n","10\t13:5\t161:5\t201:5\t41:5\t103:5\t359:5\t230:5\t336:4\t434:5\t187:5\t299:3\t614:2\t47:4\t438:4\t294:4\t254:5\t550:4\t435:2\t7:5\t451:4\t777:2\t77:5\t255:5\t465:3\t444:4\t355:5\t290:4\t755:4\t524:4\t210:4\t212:5\t404:5\t241:5\t87:4\t57:5\t232:5\t15:4\t250:4\t726:4\t96:4\t875:4\t943:3\t104:3\t544:3\t699:5\t69:4\t322:5\t720:5\t102:5\t98:4\t769:3\t782:4\t147:4\t97:5\t1114:4\t888:4\t54:4\t842:4\t979:4\t148:4\t345:3\t28:4\t770:4\t632:4\t927:4\t257:5\t390:4\t245:4\t1191:3\t573:2\t578:4\t143:4\t774:4\t417:4\t183:5\t902:3\t348:5\t656:4\t633:2\t696:5\t358:5\t823:2\t453:5\t220:4\t466:3\t279:4\t710:3\t862:4\t652:3\t51:5\t439:3\t119:4\t70:3\t158:4\t758:4\t34:4\t739:3\t217:4\t553:5\t160:5\t878:5\t123:4\t529:4\t436:4\t136:4\t391:4\t481:5\t318:4\t55:4\t25:5\t59:5\t906:3\t912:3\t179:4\t26:3\t705:4\t9:4\t1045:5\t1266:3\t648:4\t508:3\t192:5\t278:5\t146:4\t759:4\t266:3\t472:5\t567:3\t21:5\t537:2\t493:4\t218:5\t113:5\t80:4\t32:5\t332:5\t657:3\t974:4\t446:4\t1024:5\t206:2\t209:5\t772:4\t302:3\t821:4\t233:4\t1258:4\t658:4\t202:5\t686:4\t132:3\t195:4\t532:4\t616:3\t58:5\t219:4\t141:5\t182:2\t100:5\t171:2\t457:4\t33:4\t175:5\t24:4\t101:5\t115:5\t176:3\t530:4\t461:4\t300:4\t1035:5\t155:5\t297:5\t268:3\t670:4\t920:3\t180:5\t159:3\t137:3\t27:5\t145:3\t341:4\t310:4\t30:4\t669:3\t364:4\t365:4\t118:3\t809:3\t157:5\t443:3\t163:4\t284:5\t273:5\t459:5\t475:5\t503:4\t376:4\t574:5\t162:5\t312:5\t413:4\t747:4\t416:3\t248:5\t61:5\t636:5\t166:3\t409:4\t1105:2\t558:3\t197:2\t8:4\t832:3\t514:4\t562:4\n"]}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"USDF36ZN0mHu","executionInfo":{"elapsed":8,"status":"ok","timestamp":1634836206117,"user":{"displayName":"Sparsh Agarwal","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"13037694610922482904"},"user_tz":-330},"outputId":"7dfb109a-b77e-417d-e664-96bf4cd61332"},"source":["%tensorflow_version 1.x"],"execution_count":null,"outputs":[{"name":"stdout","output_type":"stream","text":["TensorFlow 1.x selected.\n"]}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"qOyGG3QizpVa","executionInfo":{"elapsed":9,"status":"ok","timestamp":1634836349342,"user":{"displayName":"Sparsh Agarwal","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"13037694610922482904"},"user_tz":-330},"outputId":"731c140d-6da1-4a1d-f07f-616677311957"},"source":["%%writefile run.sh\n","\n","python ./launch.py -data_path ./data/data/ -environment env -T 40 -ST [5,10,20,40] -agent Train -FA FA -latent_factor 50 \\\n","-learning_rate 0.001 -training_epoch 10 -seed 145 -gpu_no 0 -inner_epoch 50 -rnn_layer 2 -gamma 0.8 -batch 50 -restore_model False"],"execution_count":null,"outputs":[{"name":"stdout","output_type":"stream","text":["Overwriting run.sh\n"]}]},{"cell_type":"code","metadata":{"colab":{"background_save":true,"base_uri":"https://localhost:8080/"},"id":"OPJKaTAVzpRz","executionInfo":{"elapsed":74579,"status":"ok","timestamp":1634836424365,"user":{"displayName":"Sparsh Agarwal","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"13037694610922482904"},"user_tz":-330},"outputId":"0d4bc991-21c0-4781-96ff-a1a5223c0f49"},"source":["#collapse-hide\n","!sh run.sh"],"execution_count":null,"outputs":[{"name":"stdout","output_type":"stream","text":["\u001b[1;30;43mStreaming output truncated to the last 5000 lines.\u001b[0m\n","| 40recall    | 0.0772   |\n","| 5precision  | 2.38     |\n","| 5recall     | 0.0132   |\n","| epoch       | 760      |\n","| loss        | 0.178    |\n","| type        | training |\n","--------------------------\n","761\n","5 precision:  2.36\n","10 precision:  4.16\n","20 precision:  7.86\n","40 precision:  14.76\n","--------------------------\n","| 10precision | 4.16     |\n","| 10recall    | 0.0214   |\n","| 20precision | 7.86     |\n","| 20recall    | 0.0398   |\n","| 40precision | 14.8     |\n","| 40recall    | 0.0732   |\n","| 5precision  | 2.36     |\n","| 5recall     | 0.0122   |\n","| epoch       | 761      |\n","| loss        | 0.1647   |\n","| type        | training |\n","--------------------------\n","762\n","5 precision:  2.58\n","10 precision:  4.88\n","20 precision:  9.06\n","40 precision:  15.82\n","--------------------------\n","| 10precision | 4.88     |\n","| 10recall    | 0.0284   |\n","| 20precision | 9.06     |\n","| 20recall    | 0.0522   |\n","| 40precision | 15.8     |\n","| 40recall    | 0.0881   |\n","| 5precision  | 2.58     |\n","| 5recall     | 0.0145   |\n","| epoch       | 762      |\n","| loss        | 0.1675   |\n","| type        | training |\n","--------------------------\n","763\n","5 precision:  2.56\n","10 precision:  4.74\n","20 precision:  8.56\n","40 precision:  15.56\n","--------------------------\n","| 10precision | 4.74     |\n","| 10recall    | 0.026    |\n","| 20precision | 8.56     |\n","| 20recall    | 0.0459   |\n","| 40precision | 15.6     |\n","| 40recall    | 0.0828   |\n","| 5precision  | 2.56     |\n","| 5recall     | 0.0143   |\n","| epoch       | 763      |\n","| loss        | 0.1586   |\n","| type        | training |\n","--------------------------\n","764\n","5 precision:  2.26\n","10 precision:  4.36\n","20 precision:  7.86\n","40 precision:  14.22\n","--------------------------\n","| 10precision | 4.36     |\n","| 10recall    | 0.0252   |\n","| 20precision | 7.86     |\n","| 20recall    | 0.0459   |\n","| 40precision | 14.2     |\n","| 40recall    | 0.0825   |\n","| 5precision  | 2.26     |\n","| 5recall     | 0.0134   |\n","| epoch       | 764      |\n","| loss        | 0.1789   |\n","| type        | training |\n","--------------------------\n","765\n","5 precision:  2.02\n","10 precision:  4.28\n","20 precision:  8.0\n","40 precision:  14.62\n","--------------------------\n","| 10precision | 4.28     |\n","| 10recall    | 0.0228   |\n","| 20precision | 8        |\n","| 20recall    | 0.0436   |\n","| 40precision | 14.6     |\n","| 40recall    | 0.0789   |\n","| 5precision  | 2.02     |\n","| 5recall     | 0.0108   |\n","| epoch       | 765      |\n","| loss        | 0.169    |\n","| type        | training |\n","--------------------------\n","766\n","5 precision:  2.58\n","10 precision:  4.68\n","20 precision:  7.96\n","40 precision:  15.1\n","--------------------------\n","| 10precision | 4.68     |\n","| 10recall    | 0.0273   |\n","| 20precision | 7.96     |\n","| 20recall    | 0.0466   |\n","| 40precision | 15.1     |\n","| 40recall    | 0.087    |\n","| 5precision  | 2.58     |\n","| 5recall     | 0.0153   |\n","| epoch       | 766      |\n","| loss        | 0.1627   |\n","| type        | training |\n","--------------------------\n","767\n","5 precision:  2.56\n","10 precision:  4.88\n","20 precision:  8.64\n","40 precision:  15.24\n","--------------------------\n","| 10precision | 4.88     |\n","| 10recall    | 0.0268   |\n","| 20precision | 8.64     |\n","| 20recall    | 0.0477   |\n","| 40precision | 15.2     |\n","| 40recall    | 0.083    |\n","| 5precision  | 2.56     |\n","| 5recall     | 0.014    |\n","| epoch       | 767      |\n","| loss        | 0.1658   |\n","| type        | training |\n","--------------------------\n","768\n","5 precision:  2.5\n","10 precision:  4.72\n","20 precision:  8.74\n","40 precision:  15.42\n","--------------------------\n","| 10precision | 4.72     |\n","| 10recall    | 0.025    |\n","| 20precision | 8.74     |\n","| 20recall    | 0.0438   |\n","| 40precision | 15.4     |\n","| 40recall    | 0.0757   |\n","| 5precision  | 2.5      |\n","| 5recall     | 0.0131   |\n","| epoch       | 768      |\n","| loss        | 0.1912   |\n","| type        | training |\n","--------------------------\n","769\n","5 precision:  2.42\n","10 precision:  4.36\n","20 precision:  7.9\n","40 precision:  14.26\n","--------------------------\n","| 10precision | 4.36     |\n","| 10recall    | 0.0278   |\n","| 20precision | 7.9      |\n","| 20recall    | 0.0498   |\n","| 40precision | 14.3     |\n","| 40recall    | 0.0882   |\n","| 5precision  | 2.42     |\n","| 5recall     | 0.0153   |\n","| epoch       | 769      |\n","| loss        | 0.1785   |\n","| type        | training |\n","--------------------------\n","770\n","5 precision:  2.62\n","10 precision:  4.58\n","20 precision:  8.52\n","40 precision:  15.22\n","--------------------------\n","| 10precision | 4.58     |\n","| 10recall    | 0.0247   |\n","| 20precision | 8.52     |\n","| 20recall    | 0.0468   |\n","| 40precision | 15.2     |\n","| 40recall    | 0.0811   |\n","| 5precision  | 2.62     |\n","| 5recall     | 0.0144   |\n","| epoch       | 770      |\n","| loss        | 0.2177   |\n","| type        | training |\n","--------------------------\n","771\n","5 precision:  2.52\n","10 precision:  4.66\n","20 precision:  8.52\n","40 precision:  14.78\n","--------------------------\n","| 10precision | 4.66     |\n","| 10recall    | 0.0248   |\n","| 20precision | 8.52     |\n","| 20recall    | 0.0437   |\n","| 40precision | 14.8     |\n","| 40recall    | 0.0757   |\n","| 5precision  | 2.52     |\n","| 5recall     | 0.0137   |\n","| epoch       | 771      |\n","| loss        | 0.1864   |\n","| type        | training |\n","--------------------------\n","772\n","5 precision:  2.5\n","10 precision:  4.44\n","20 precision:  7.94\n","40 precision:  13.94\n","--------------------------\n","| 10precision | 4.44     |\n","| 10recall    | 0.0248   |\n","| 20precision | 7.94     |\n","| 20recall    | 0.0435   |\n","| 40precision | 13.9     |\n","| 40recall    | 0.0758   |\n","| 5precision  | 2.5      |\n","| 5recall     | 0.014    |\n","| epoch       | 772      |\n","| loss        | 0.1929   |\n","| type        | training |\n","--------------------------\n","773\n","5 precision:  2.06\n","10 precision:  4.08\n","20 precision:  7.42\n","40 precision:  13.54\n","--------------------------\n","| 10precision | 4.08     |\n","| 10recall    | 0.0282   |\n","| 20precision | 7.42     |\n","| 20recall    | 0.0508   |\n","| 40precision | 13.5     |\n","| 40recall    | 0.0915   |\n","| 5precision  | 2.06     |\n","| 5recall     | 0.0138   |\n","| epoch       | 773      |\n","| loss        | 0.1863   |\n","| type        | training |\n","--------------------------\n","774\n","5 precision:  2.2\n","10 precision:  4.06\n","20 precision:  7.06\n","40 precision:  12.74\n","--------------------------\n","| 10precision | 4.06     |\n","| 10recall    | 0.0263   |\n","| 20precision | 7.06     |\n","| 20recall    | 0.0459   |\n","| 40precision | 12.7     |\n","| 40recall    | 0.0823   |\n","| 5precision  | 2.2      |\n","| 5recall     | 0.0142   |\n","| epoch       | 774      |\n","| loss        | 0.1922   |\n","| type        | training |\n","--------------------------\n","775\n","5 precision:  2.42\n","10 precision:  4.38\n","20 precision:  8.16\n","40 precision:  14.58\n","--------------------------\n","| 10precision | 4.38     |\n","| 10recall    | 0.0247   |\n","| 20precision | 8.16     |\n","| 20recall    | 0.0457   |\n","| 40precision | 14.6     |\n","| 40recall    | 0.0811   |\n","| 5precision  | 2.42     |\n","| 5recall     | 0.0144   |\n","| epoch       | 775      |\n","| loss        | 0.1432   |\n","| type        | training |\n","--------------------------\n","776\n","5 precision:  2.8\n","10 precision:  5.02\n","20 precision:  8.84\n","40 precision:  15.52\n","--------------------------\n","| 10precision | 5.02     |\n","| 10recall    | 0.0267   |\n","| 20precision | 8.84     |\n","| 20recall    | 0.0457   |\n","| 40precision | 15.5     |\n","| 40recall    | 0.0786   |\n","| 5precision  | 2.8      |\n","| 5recall     | 0.0156   |\n","| epoch       | 776      |\n","| loss        | 0.1489   |\n","| type        | training |\n","--------------------------\n","777\n","5 precision:  2.46\n","10 precision:  4.66\n","20 precision:  8.26\n","40 precision:  14.76\n","--------------------------\n","| 10precision | 4.66     |\n","| 10recall    | 0.0306   |\n","| 20precision | 8.26     |\n","| 20recall    | 0.0524   |\n","| 40precision | 14.8     |\n","| 40recall    | 0.0927   |\n","| 5precision  | 2.46     |\n","| 5recall     | 0.0163   |\n","| epoch       | 777      |\n","| loss        | 0.1542   |\n","| type        | training |\n","--------------------------\n","778\n","5 precision:  2.2\n","10 precision:  4.22\n","20 precision:  7.92\n","40 precision:  14.56\n","--------------------------\n","| 10precision | 4.22     |\n","| 10recall    | 0.0253   |\n","| 20precision | 7.92     |\n","| 20recall    | 0.0465   |\n","| 40precision | 14.6     |\n","| 40recall    | 0.0844   |\n","| 5precision  | 2.2      |\n","| 5recall     | 0.0137   |\n","| epoch       | 778      |\n","| loss        | 0.1666   |\n","| type        | training |\n","--------------------------\n","779\n","5 precision:  2.54\n","10 precision:  4.34\n","20 precision:  8.02\n","40 precision:  14.76\n","--------------------------\n","| 10precision | 4.34     |\n","| 10recall    | 0.0241   |\n","| 20precision | 8.02     |\n","| 20recall    | 0.043    |\n","| 40precision | 14.8     |\n","| 40recall    | 0.078    |\n","| 5precision  | 2.54     |\n","| 5recall     | 0.0148   |\n","| epoch       | 779      |\n","| loss        | 0.1552   |\n","| type        | training |\n","--------------------------\n","780\n","5 precision:  2.54\n","10 precision:  4.3\n","20 precision:  7.58\n","40 precision:  13.62\n","--------------------------\n","| 10precision | 4.3      |\n","| 10recall    | 0.0261   |\n","| 20precision | 7.58     |\n","| 20recall    | 0.0449   |\n","| 40precision | 13.6     |\n","| 40recall    | 0.0794   |\n","| 5precision  | 2.54     |\n","| 5recall     | 0.0159   |\n","| epoch       | 780      |\n","| loss        | 0.1574   |\n","| type        | training |\n","--------------------------\n","781\n","5 precision:  2.5\n","10 precision:  4.56\n","20 precision:  8.16\n","40 precision:  14.58\n","--------------------------\n","| 10precision | 4.56     |\n","| 10recall    | 0.0257   |\n","| 20precision | 8.16     |\n","| 20recall    | 0.0451   |\n","| 40precision | 14.6     |\n","| 40recall    | 0.0798   |\n","| 5precision  | 2.5      |\n","| 5recall     | 0.0145   |\n","| epoch       | 781      |\n","| loss        | 0.1778   |\n","| type        | training |\n","--------------------------\n","782\n","5 precision:  2.54\n","10 precision:  4.92\n","20 precision:  8.84\n","40 precision:  15.18\n","--------------------------\n","| 10precision | 4.92     |\n","| 10recall    | 0.0316   |\n","| 20precision | 8.84     |\n","| 20recall    | 0.0554   |\n","| 40precision | 15.2     |\n","| 40recall    | 0.0953   |\n","| 5precision  | 2.54     |\n","| 5recall     | 0.0166   |\n","| epoch       | 782      |\n","| loss        | 0.1609   |\n","| type        | training |\n","--------------------------\n","783\n","5 precision:  2.64\n","10 precision:  5.12\n","20 precision:  9.2\n","40 precision:  15.94\n","--------------------------\n","| 10precision | 5.12     |\n","| 10recall    | 0.0258   |\n","| 20precision | 9.2      |\n","| 20recall    | 0.0462   |\n","| 40precision | 15.9     |\n","| 40recall    | 0.0803   |\n","| 5precision  | 2.64     |\n","| 5recall     | 0.0134   |\n","| epoch       | 783      |\n","| loss        | 0.1823   |\n","| type        | training |\n","--------------------------\n","784\n","5 precision:  2.3\n","10 precision:  4.34\n","20 precision:  7.92\n","40 precision:  13.62\n","--------------------------\n","| 10precision | 4.34     |\n","| 10recall    | 0.0287   |\n","| 20precision | 7.92     |\n","| 20recall    | 0.0526   |\n","| 40precision | 13.6     |\n","| 40recall    | 0.0872   |\n","| 5precision  | 2.3      |\n","| 5recall     | 0.0156   |\n","| epoch       | 784      |\n","| loss        | 0.1696   |\n","| type        | training |\n","--------------------------\n","785\n","5 precision:  2.74\n","10 precision:  4.84\n","20 precision:  8.8\n","40 precision:  15.78\n","--------------------------\n","| 10precision | 4.84     |\n","| 10recall    | 0.0257   |\n","| 20precision | 8.8      |\n","| 20recall    | 0.0472   |\n","| 40precision | 15.8     |\n","| 40recall    | 0.084    |\n","| 5precision  | 2.74     |\n","| 5recall     | 0.0151   |\n","| epoch       | 785      |\n","| loss        | 0.1604   |\n","| type        | training |\n","--------------------------\n","786\n","5 precision:  2.62\n","10 precision:  4.76\n","20 precision:  8.74\n","40 precision:  15.2\n","--------------------------\n","| 10precision | 4.76     |\n","| 10recall    | 0.0274   |\n","| 20precision | 8.74     |\n","| 20recall    | 0.0497   |\n","| 40precision | 15.2     |\n","| 40recall    | 0.0852   |\n","| 5precision  | 2.62     |\n","| 5recall     | 0.0148   |\n","| epoch       | 786      |\n","| loss        | 0.1716   |\n","| type        | training |\n","--------------------------\n","787\n","5 precision:  2.52\n","10 precision:  4.58\n","20 precision:  8.5\n","40 precision:  15.78\n","--------------------------\n","| 10precision | 4.58     |\n","| 10recall    | 0.0283   |\n","| 20precision | 8.5      |\n","| 20recall    | 0.0518   |\n","| 40precision | 15.8     |\n","| 40recall    | 0.0927   |\n","| 5precision  | 2.52     |\n","| 5recall     | 0.0154   |\n","| epoch       | 787      |\n","| loss        | 0.166    |\n","| type        | training |\n","--------------------------\n","788\n","5 precision:  2.48\n","10 precision:  4.6\n","20 precision:  8.32\n","40 precision:  14.62\n","--------------------------\n","| 10precision | 4.6      |\n","| 10recall    | 0.029    |\n","| 20precision | 8.32     |\n","| 20recall    | 0.0525   |\n","| 40precision | 14.6     |\n","| 40recall    | 0.0931   |\n","| 5precision  | 2.48     |\n","| 5recall     | 0.0152   |\n","| epoch       | 788      |\n","| loss        | 0.1705   |\n","| type        | training |\n","--------------------------\n","789\n","5 precision:  2.6\n","10 precision:  4.72\n","20 precision:  8.6\n","40 precision:  14.68\n","--------------------------\n","| 10precision | 4.72     |\n","| 10recall    | 0.0267   |\n","| 20precision | 8.6      |\n","| 20recall    | 0.0477   |\n","| 40precision | 14.7     |\n","| 40recall    | 0.0818   |\n","| 5precision  | 2.6      |\n","| 5recall     | 0.0144   |\n","| epoch       | 789      |\n","| loss        | 0.1879   |\n","| type        | training |\n","--------------------------\n","790\n","5 precision:  2.46\n","10 precision:  4.38\n","20 precision:  8.1\n","40 precision:  14.04\n","--------------------------\n","| 10precision | 4.38     |\n","| 10recall    | 0.0289   |\n","| 20precision | 8.1      |\n","| 20recall    | 0.0524   |\n","| 40precision | 14       |\n","| 40recall    | 0.0894   |\n","| 5precision  | 2.46     |\n","| 5recall     | 0.0166   |\n","| epoch       | 790      |\n","| loss        | 0.1757   |\n","| type        | training |\n","--------------------------\n","791\n","5 precision:  2.28\n","10 precision:  4.38\n","20 precision:  8.1\n","40 precision:  14.54\n","--------------------------\n","| 10precision | 4.38     |\n","| 10recall    | 0.0285   |\n","| 20precision | 8.1      |\n","| 20recall    | 0.0518   |\n","| 40precision | 14.5     |\n","| 40recall    | 0.092    |\n","| 5precision  | 2.28     |\n","| 5recall     | 0.0143   |\n","| epoch       | 791      |\n","| loss        | 0.2024   |\n","| type        | training |\n","--------------------------\n","792\n","5 precision:  2.4\n","10 precision:  4.52\n","20 precision:  8.34\n","40 precision:  15.18\n","--------------------------\n","| 10precision | 4.52     |\n","| 10recall    | 0.0259   |\n","| 20precision | 8.34     |\n","| 20recall    | 0.0479   |\n","| 40precision | 15.2     |\n","| 40recall    | 0.086    |\n","| 5precision  | 2.4      |\n","| 5recall     | 0.0137   |\n","| epoch       | 792      |\n","| loss        | 0.1871   |\n","| type        | training |\n","--------------------------\n","793\n","5 precision:  2.16\n","10 precision:  4.32\n","20 precision:  8.0\n","40 precision:  13.88\n","--------------------------\n","| 10precision | 4.32     |\n","| 10recall    | 0.0279   |\n","| 20precision | 8        |\n","| 20recall    | 0.0493   |\n","| 40precision | 13.9     |\n","| 40recall    | 0.0824   |\n","| 5precision  | 2.16     |\n","| 5recall     | 0.0145   |\n","| epoch       | 793      |\n","| loss        | 0.1527   |\n","| type        | training |\n","--------------------------\n","794\n","5 precision:  2.38\n","10 precision:  4.32\n","20 precision:  7.7\n","40 precision:  13.9\n","--------------------------\n","| 10precision | 4.32     |\n","| 10recall    | 0.0259   |\n","| 20precision | 7.7      |\n","| 20recall    | 0.0453   |\n","| 40precision | 13.9     |\n","| 40recall    | 0.0807   |\n","| 5precision  | 2.38     |\n","| 5recall     | 0.0146   |\n","| epoch       | 794      |\n","| loss        | 0.155    |\n","| type        | training |\n","--------------------------\n","795\n","5 precision:  2.46\n","10 precision:  4.52\n","20 precision:  8.14\n","40 precision:  14.52\n","--------------------------\n","| 10precision | 4.52     |\n","| 10recall    | 0.0283   |\n","| 20precision | 8.14     |\n","| 20recall    | 0.049    |\n","| 40precision | 14.5     |\n","| 40recall    | 0.0865   |\n","| 5precision  | 2.46     |\n","| 5recall     | 0.0157   |\n","| epoch       | 795      |\n","| loss        | 0.1576   |\n","| type        | training |\n","--------------------------\n","796\n","5 precision:  2.64\n","10 precision:  4.88\n","20 precision:  8.82\n","40 precision:  15.88\n","--------------------------\n","| 10precision | 4.88     |\n","| 10recall    | 0.0285   |\n","| 20precision | 8.82     |\n","| 20recall    | 0.0512   |\n","| 40precision | 15.9     |\n","| 40recall    | 0.0914   |\n","| 5precision  | 2.64     |\n","| 5recall     | 0.0156   |\n","| epoch       | 796      |\n","| loss        | 0.1791   |\n","| type        | training |\n","--------------------------\n","797\n","5 precision:  2.74\n","10 precision:  5.08\n","20 precision:  9.9\n","40 precision:  17.78\n","--------------------------\n","| 10precision | 5.08     |\n","| 10recall    | 0.0253   |\n","| 20precision | 9.9      |\n","| 20recall    | 0.0494   |\n","| 40precision | 17.8     |\n","| 40recall    | 0.0886   |\n","| 5precision  | 2.74     |\n","| 5recall     | 0.0142   |\n","| epoch       | 797      |\n","| loss        | 0.1573   |\n","| type        | training |\n","--------------------------\n","798\n","5 precision:  2.52\n","10 precision:  4.76\n","20 precision:  9.12\n","40 precision:  15.9\n","--------------------------\n","| 10precision | 4.76     |\n","| 10recall    | 0.0269   |\n","| 20precision | 9.12     |\n","| 20recall    | 0.0513   |\n","| 40precision | 15.9     |\n","| 40recall    | 0.0879   |\n","| 5precision  | 2.52     |\n","| 5recall     | 0.014    |\n","| epoch       | 798      |\n","| loss        | 0.1716   |\n","| type        | training |\n","--------------------------\n","799\n","5 precision:  2.54\n","10 precision:  4.46\n","20 precision:  8.06\n","40 precision:  14.96\n","--------------------------\n","| 10precision | 4.46     |\n","| 10recall    | 0.0277   |\n","| 20precision | 8.06     |\n","| 20recall    | 0.0492   |\n","| 40precision | 15       |\n","| 40recall    | 0.0909   |\n","| 5precision  | 2.54     |\n","| 5recall     | 0.0163   |\n","| epoch       | 799      |\n","| loss        | 0.1422   |\n","| type        | training |\n","--------------------------\n","800\n","5 precision:  2.44\n","10 precision:  4.44\n","20 precision:  8.34\n","40 precision:  15.3\n","--------------------------\n","| 10precision | 4.44     |\n","| 10recall    | 0.0275   |\n","| 20precision | 8.34     |\n","| 20recall    | 0.0507   |\n","| 40precision | 15.3     |\n","| 40recall    | 0.0915   |\n","| 5precision  | 2.44     |\n","| 5recall     | 0.0152   |\n","| epoch       | 800      |\n","| loss        | 0.1686   |\n","| type        | training |\n","--------------------------\n","5 precision:  3.5\n","10 precision:  6.0556\n","20 precision:  11.3333\n","40 precision:  18.0556\n","----------------------------\n","| 10precision | 6.06       |\n","| 10recall    | 0.0349     |\n","| 20precision | 11.3       |\n","| 20recall    | 0.0631     |\n","| 40precision | 18.1       |\n","| 40recall    | 0.0983     |\n","| 5precision  | 3.5        |\n","| 5recall     | 0.0211     |\n","| epoch       | 800        |\n","| type        | validation |\n","----------------------------\n","5 precision:  3.3421\n","10 precision:  6.0526\n","20 precision:  10.7632\n","40 precision:  17.2895\n","----------------------------\n","| 10precision | 6.05       |\n","| 10recall    | 0.0353     |\n","| 20precision | 10.8       |\n","| 20recall    | 0.0623     |\n","| 40precision | 17.3       |\n","| 40recall    | 0.099      |\n","| 5precision  | 3.34       |\n","| 5recall     | 0.0201     |\n","| epoch       | 800        |\n","| type        | evaluation |\n","----------------------------\n","801\n","5 precision:  2.52\n","10 precision:  4.4\n","20 precision:  8.18\n","40 precision:  14.3\n","--------------------------\n","| 10precision | 4.4      |\n","| 10recall    | 0.0275   |\n","| 20precision | 8.18     |\n","| 20recall    | 0.0503   |\n","| 40precision | 14.3     |\n","| 40recall    | 0.0876   |\n","| 5precision  | 2.52     |\n","| 5recall     | 0.0152   |\n","| epoch       | 801      |\n","| loss        | 0.1573   |\n","| type        | training |\n","--------------------------\n","802\n","5 precision:  2.58\n","10 precision:  4.74\n","20 precision:  8.34\n","40 precision:  14.58\n","--------------------------\n","| 10precision | 4.74     |\n","| 10recall    | 0.0291   |\n","| 20precision | 8.34     |\n","| 20recall    | 0.0495   |\n","| 40precision | 14.6     |\n","| 40recall    | 0.0849   |\n","| 5precision  | 2.58     |\n","| 5recall     | 0.0156   |\n","| epoch       | 802      |\n","| loss        | 0.1782   |\n","| type        | training |\n","--------------------------\n","803\n","5 precision:  2.44\n","10 precision:  4.28\n","20 precision:  8.08\n","40 precision:  15.24\n","--------------------------\n","| 10precision | 4.28     |\n","| 10recall    | 0.0234   |\n","| 20precision | 8.08     |\n","| 20recall    | 0.0434   |\n","| 40precision | 15.2     |\n","| 40recall    | 0.0822   |\n","| 5precision  | 2.44     |\n","| 5recall     | 0.014    |\n","| epoch       | 803      |\n","| loss        | 0.1513   |\n","| type        | training |\n","--------------------------\n","804\n","5 precision:  2.38\n","10 precision:  4.6\n","20 precision:  8.5\n","40 precision:  15.3\n","--------------------------\n","| 10precision | 4.6      |\n","| 10recall    | 0.0277   |\n","| 20precision | 8.5      |\n","| 20recall    | 0.0494   |\n","| 40precision | 15.3     |\n","| 40recall    | 0.0888   |\n","| 5precision  | 2.38     |\n","| 5recall     | 0.0146   |\n","| epoch       | 804      |\n","| loss        | 0.1524   |\n","| type        | training |\n","--------------------------\n","805\n","5 precision:  2.22\n","10 precision:  4.08\n","20 precision:  7.74\n","40 precision:  13.48\n","--------------------------\n","| 10precision | 4.08     |\n","| 10recall    | 0.0253   |\n","| 20precision | 7.74     |\n","| 20recall    | 0.0475   |\n","| 40precision | 13.5     |\n","| 40recall    | 0.0809   |\n","| 5precision  | 2.22     |\n","| 5recall     | 0.0141   |\n","| epoch       | 805      |\n","| loss        | 0.1667   |\n","| type        | training |\n","--------------------------\n","806\n","5 precision:  2.52\n","10 precision:  4.56\n","20 precision:  8.4\n","40 precision:  14.2\n","--------------------------\n","| 10precision | 4.56     |\n","| 10recall    | 0.0307   |\n","| 20precision | 8.4      |\n","| 20recall    | 0.055    |\n","| 40precision | 14.2     |\n","| 40recall    | 0.0902   |\n","| 5precision  | 2.52     |\n","| 5recall     | 0.0163   |\n","| epoch       | 806      |\n","| loss        | 0.1905   |\n","| type        | training |\n","--------------------------\n","807\n","5 precision:  2.54\n","10 precision:  4.36\n","20 precision:  8.1\n","40 precision:  14.56\n","--------------------------\n","| 10precision | 4.36     |\n","| 10recall    | 0.0271   |\n","| 20precision | 8.1      |\n","| 20recall    | 0.0501   |\n","| 40precision | 14.6     |\n","| 40recall    | 0.0899   |\n","| 5precision  | 2.54     |\n","| 5recall     | 0.0161   |\n","| epoch       | 807      |\n","| loss        | 0.1988   |\n","| type        | training |\n","--------------------------\n","808\n","5 precision:  2.32\n","10 precision:  4.1\n","20 precision:  7.66\n","40 precision:  13.24\n","--------------------------\n","| 10precision | 4.1      |\n","| 10recall    | 0.025    |\n","| 20precision | 7.66     |\n","| 20recall    | 0.0477   |\n","| 40precision | 13.2     |\n","| 40recall    | 0.0812   |\n","| 5precision  | 2.32     |\n","| 5recall     | 0.014    |\n","| epoch       | 808      |\n","| loss        | 0.1537   |\n","| type        | training |\n","--------------------------\n","809\n","5 precision:  2.36\n","10 precision:  4.5\n","20 precision:  8.18\n","40 precision:  13.84\n","--------------------------\n","| 10precision | 4.5      |\n","| 10recall    | 0.0297   |\n","| 20precision | 8.18     |\n","| 20recall    | 0.0536   |\n","| 40precision | 13.8     |\n","| 40recall    | 0.0891   |\n","| 5precision  | 2.36     |\n","| 5recall     | 0.0158   |\n","| epoch       | 809      |\n","| loss        | 0.1735   |\n","| type        | training |\n","--------------------------\n","810\n","5 precision:  2.66\n","10 precision:  4.54\n","20 precision:  8.36\n","40 precision:  15.06\n","--------------------------\n","| 10precision | 4.54     |\n","| 10recall    | 0.0269   |\n","| 20precision | 8.36     |\n","| 20recall    | 0.0475   |\n","| 40precision | 15.1     |\n","| 40recall    | 0.0845   |\n","| 5precision  | 2.66     |\n","| 5recall     | 0.0158   |\n","| epoch       | 810      |\n","| loss        | 0.1764   |\n","| type        | training |\n","--------------------------\n","811\n","5 precision:  2.4\n","10 precision:  4.4\n","20 precision:  7.98\n","40 precision:  14.34\n","--------------------------\n","| 10precision | 4.4      |\n","| 10recall    | 0.0304   |\n","| 20precision | 7.98     |\n","| 20recall    | 0.0529   |\n","| 40precision | 14.3     |\n","| 40recall    | 0.0938   |\n","| 5precision  | 2.4      |\n","| 5recall     | 0.0165   |\n","| epoch       | 811      |\n","| loss        | 0.1721   |\n","| type        | training |\n","--------------------------\n","812\n","5 precision:  2.54\n","10 precision:  4.52\n","20 precision:  8.32\n","40 precision:  14.9\n","--------------------------\n","| 10precision | 4.52     |\n","| 10recall    | 0.0259   |\n","| 20precision | 8.32     |\n","| 20recall    | 0.0474   |\n","| 40precision | 14.9     |\n","| 40recall    | 0.0835   |\n","| 5precision  | 2.54     |\n","| 5recall     | 0.0149   |\n","| epoch       | 812      |\n","| loss        | 0.1635   |\n","| type        | training |\n","--------------------------\n","813\n","5 precision:  2.36\n","10 precision:  4.6\n","20 precision:  8.9\n","40 precision:  15.46\n","--------------------------\n","| 10precision | 4.6      |\n","| 10recall    | 0.0276   |\n","| 20precision | 8.9      |\n","| 20recall    | 0.052    |\n","| 40precision | 15.5     |\n","| 40recall    | 0.0905   |\n","| 5precision  | 2.36     |\n","| 5recall     | 0.0139   |\n","| epoch       | 813      |\n","| loss        | 0.1593   |\n","| type        | training |\n","--------------------------\n","814\n","5 precision:  2.52\n","10 precision:  4.44\n","20 precision:  8.0\n","40 precision:  14.1\n","--------------------------\n","| 10precision | 4.44     |\n","| 10recall    | 0.0255   |\n","| 20precision | 8        |\n","| 20recall    | 0.044    |\n","| 40precision | 14.1     |\n","| 40recall    | 0.079    |\n","| 5precision  | 2.52     |\n","| 5recall     | 0.0149   |\n","| epoch       | 814      |\n","| loss        | 0.1859   |\n","| type        | training |\n","--------------------------\n","815\n","5 precision:  2.52\n","10 precision:  4.6\n","20 precision:  8.28\n","40 precision:  14.38\n","--------------------------\n","| 10precision | 4.6      |\n","| 10recall    | 0.0267   |\n","| 20precision | 8.28     |\n","| 20recall    | 0.0474   |\n","| 40precision | 14.4     |\n","| 40recall    | 0.0812   |\n","| 5precision  | 2.52     |\n","| 5recall     | 0.015    |\n","| epoch       | 815      |\n","| loss        | 0.1897   |\n","| type        | training |\n","--------------------------\n","816\n","5 precision:  2.28\n","10 precision:  4.3\n","20 precision:  7.64\n","40 precision:  13.66\n","--------------------------\n","| 10precision | 4.3      |\n","| 10recall    | 0.0293   |\n","| 20precision | 7.64     |\n","| 20recall    | 0.0505   |\n","| 40precision | 13.7     |\n","| 40recall    | 0.0888   |\n","| 5precision  | 2.28     |\n","| 5recall     | 0.0156   |\n","| epoch       | 816      |\n","| loss        | 0.1706   |\n","| type        | training |\n","--------------------------\n","817\n","5 precision:  2.8\n","10 precision:  4.88\n","20 precision:  8.76\n","40 precision:  14.56\n","--------------------------\n","| 10precision | 4.88     |\n","| 10recall    | 0.03     |\n","| 20precision | 8.76     |\n","| 20recall    | 0.0519   |\n","| 40precision | 14.6     |\n","| 40recall    | 0.0863   |\n","| 5precision  | 2.8      |\n","| 5recall     | 0.0182   |\n","| epoch       | 817      |\n","| loss        | 0.1592   |\n","| type        | training |\n","--------------------------\n","818\n","5 precision:  3.0\n","10 precision:  5.16\n","20 precision:  9.0\n","40 precision:  16.24\n","--------------------------\n","| 10precision | 5.16     |\n","| 10recall    | 0.0276   |\n","| 20precision | 9        |\n","| 20recall    | 0.0472   |\n","| 40precision | 16.2     |\n","| 40recall    | 0.0841   |\n","| 5precision  | 3        |\n","| 5recall     | 0.0165   |\n","| epoch       | 818      |\n","| loss        | 0.1516   |\n","| type        | training |\n","--------------------------\n","819\n","5 precision:  2.36\n","10 precision:  4.38\n","20 precision:  8.0\n","40 precision:  14.52\n","--------------------------\n","| 10precision | 4.38     |\n","| 10recall    | 0.0282   |\n","| 20precision | 8        |\n","| 20recall    | 0.05     |\n","| 40precision | 14.5     |\n","| 40recall    | 0.089    |\n","| 5precision  | 2.36     |\n","| 5recall     | 0.0151   |\n","| epoch       | 819      |\n","| loss        | 0.173    |\n","| type        | training |\n","--------------------------\n","820\n","5 precision:  3.02\n","10 precision:  5.08\n","20 precision:  8.94\n","40 precision:  16.02\n","--------------------------\n","| 10precision | 5.08     |\n","| 10recall    | 0.0277   |\n","| 20precision | 8.94     |\n","| 20recall    | 0.047    |\n","| 40precision | 16       |\n","| 40recall    | 0.0834   |\n","| 5precision  | 3.02     |\n","| 5recall     | 0.0164   |\n","| epoch       | 820      |\n","| loss        | 0.1478   |\n","| type        | training |\n","--------------------------\n","821\n","5 precision:  2.38\n","10 precision:  4.5\n","20 precision:  8.08\n","40 precision:  14.1\n","--------------------------\n","| 10precision | 4.5      |\n","| 10recall    | 0.0268   |\n","| 20precision | 8.08     |\n","| 20recall    | 0.048    |\n","| 40precision | 14.1     |\n","| 40recall    | 0.0837   |\n","| 5precision  | 2.38     |\n","| 5recall     | 0.0141   |\n","| epoch       | 821      |\n","| loss        | 0.1465   |\n","| type        | training |\n","--------------------------\n","822\n","5 precision:  2.3\n","10 precision:  4.22\n","20 precision:  7.74\n","40 precision:  13.8\n","--------------------------\n","| 10precision | 4.22     |\n","| 10recall    | 0.0278   |\n","| 20precision | 7.74     |\n","| 20recall    | 0.0501   |\n","| 40precision | 13.8     |\n","| 40recall    | 0.0891   |\n","| 5precision  | 2.3      |\n","| 5recall     | 0.0158   |\n","| epoch       | 822      |\n","| loss        | 0.1773   |\n","| type        | training |\n","--------------------------\n","823\n","5 precision:  2.36\n","10 precision:  4.54\n","20 precision:  8.28\n","40 precision:  14.94\n","--------------------------\n","| 10precision | 4.54     |\n","| 10recall    | 0.0285   |\n","| 20precision | 8.28     |\n","| 20recall    | 0.0508   |\n","| 40precision | 14.9     |\n","| 40recall    | 0.0897   |\n","| 5precision  | 2.36     |\n","| 5recall     | 0.0148   |\n","| epoch       | 823      |\n","| loss        | 0.1489   |\n","| type        | training |\n","--------------------------\n","824\n","5 precision:  2.48\n","10 precision:  4.58\n","20 precision:  7.94\n","40 precision:  13.94\n","--------------------------\n","| 10precision | 4.58     |\n","| 10recall    | 0.0291   |\n","| 20precision | 7.94     |\n","| 20recall    | 0.0488   |\n","| 40precision | 13.9     |\n","| 40recall    | 0.0864   |\n","| 5precision  | 2.48     |\n","| 5recall     | 0.0161   |\n","| epoch       | 824      |\n","| loss        | 0.1608   |\n","| type        | training |\n","--------------------------\n","825\n","5 precision:  2.4\n","10 precision:  4.7\n","20 precision:  8.54\n","40 precision:  14.74\n","--------------------------\n","| 10precision | 4.7      |\n","| 10recall    | 0.0273   |\n","| 20precision | 8.54     |\n","| 20recall    | 0.0493   |\n","| 40precision | 14.7     |\n","| 40recall    | 0.0826   |\n","| 5precision  | 2.4      |\n","| 5recall     | 0.0138   |\n","| epoch       | 825      |\n","| loss        | 0.1422   |\n","| type        | training |\n","--------------------------\n","826\n","5 precision:  2.4\n","10 precision:  4.42\n","20 precision:  8.58\n","40 precision:  14.82\n","--------------------------\n","| 10precision | 4.42     |\n","| 10recall    | 0.0267   |\n","| 20precision | 8.58     |\n","| 20recall    | 0.0508   |\n","| 40precision | 14.8     |\n","| 40recall    | 0.0868   |\n","| 5precision  | 2.4      |\n","| 5recall     | 0.0143   |\n","| epoch       | 826      |\n","| loss        | 0.1515   |\n","| type        | training |\n","--------------------------\n","827\n","5 precision:  2.36\n","10 precision:  4.26\n","20 precision:  7.38\n","40 precision:  13.52\n","--------------------------\n","| 10precision | 4.26     |\n","| 10recall    | 0.0269   |\n","| 20precision | 7.38     |\n","| 20recall    | 0.047    |\n","| 40precision | 13.5     |\n","| 40recall    | 0.0846   |\n","| 5precision  | 2.36     |\n","| 5recall     | 0.0149   |\n","| epoch       | 827      |\n","| loss        | 0.1606   |\n","| type        | training |\n","--------------------------\n","828\n","5 precision:  2.34\n","10 precision:  4.28\n","20 precision:  7.8\n","40 precision:  14.72\n","--------------------------\n","| 10precision | 4.28     |\n","| 10recall    | 0.0251   |\n","| 20precision | 7.8      |\n","| 20recall    | 0.0448   |\n","| 40precision | 14.7     |\n","| 40recall    | 0.0838   |\n","| 5precision  | 2.34     |\n","| 5recall     | 0.0141   |\n","| epoch       | 828      |\n","| loss        | 0.1663   |\n","| type        | training |\n","--------------------------\n","829\n","5 precision:  2.4\n","10 precision:  4.28\n","20 precision:  8.4\n","40 precision:  14.76\n","--------------------------\n","| 10precision | 4.28     |\n","| 10recall    | 0.0247   |\n","| 20precision | 8.4      |\n","| 20recall    | 0.0467   |\n","| 40precision | 14.8     |\n","| 40recall    | 0.0833   |\n","| 5precision  | 2.4      |\n","| 5recall     | 0.0137   |\n","| epoch       | 829      |\n","| loss        | 0.188    |\n","| type        | training |\n","--------------------------\n","830\n","5 precision:  2.72\n","10 precision:  4.92\n","20 precision:  8.96\n","40 precision:  16.84\n","--------------------------\n","| 10precision | 4.92     |\n","| 10recall    | 0.0283   |\n","| 20precision | 8.96     |\n","| 20recall    | 0.0514   |\n","| 40precision | 16.8     |\n","| 40recall    | 0.0957   |\n","| 5precision  | 2.72     |\n","| 5recall     | 0.0156   |\n","| epoch       | 830      |\n","| loss        | 0.139    |\n","| type        | training |\n","--------------------------\n","831\n","5 precision:  2.52\n","10 precision:  5.08\n","20 precision:  8.92\n","40 precision:  15.52\n","--------------------------\n","| 10precision | 5.08     |\n","| 10recall    | 0.027    |\n","| 20precision | 8.92     |\n","| 20recall    | 0.0459   |\n","| 40precision | 15.5     |\n","| 40recall    | 0.0793   |\n","| 5precision  | 2.52     |\n","| 5recall     | 0.0132   |\n","| epoch       | 831      |\n","| loss        | 0.1697   |\n","| type        | training |\n","--------------------------\n","832\n","5 precision:  2.42\n","10 precision:  4.6\n","20 precision:  8.92\n","40 precision:  15.9\n","--------------------------\n","| 10precision | 4.6      |\n","| 10recall    | 0.028    |\n","| 20precision | 8.92     |\n","| 20recall    | 0.0524   |\n","| 40precision | 15.9     |\n","| 40recall    | 0.0926   |\n","| 5precision  | 2.42     |\n","| 5recall     | 0.0148   |\n","| epoch       | 832      |\n","| loss        | 0.193    |\n","| type        | training |\n","--------------------------\n","833\n","5 precision:  2.58\n","10 precision:  4.74\n","20 precision:  8.4\n","40 precision:  14.84\n","--------------------------\n","| 10precision | 4.74     |\n","| 10recall    | 0.0321   |\n","| 20precision | 8.4      |\n","| 20recall    | 0.0569   |\n","| 40precision | 14.8     |\n","| 40recall    | 0.0981   |\n","| 5precision  | 2.58     |\n","| 5recall     | 0.0176   |\n","| epoch       | 833      |\n","| loss        | 0.1757   |\n","| type        | training |\n","--------------------------\n","834\n","5 precision:  2.68\n","10 precision:  4.88\n","20 precision:  8.68\n","40 precision:  15.58\n","--------------------------\n","| 10precision | 4.88     |\n","| 10recall    | 0.0277   |\n","| 20precision | 8.68     |\n","| 20recall    | 0.0492   |\n","| 40precision | 15.6     |\n","| 40recall    | 0.0875   |\n","| 5precision  | 2.68     |\n","| 5recall     | 0.0155   |\n","| epoch       | 834      |\n","| loss        | 0.1659   |\n","| type        | training |\n","--------------------------\n","835\n","5 precision:  2.62\n","10 precision:  4.74\n","20 precision:  8.72\n","40 precision:  15.48\n","--------------------------\n","| 10precision | 4.74     |\n","| 10recall    | 0.0268   |\n","| 20precision | 8.72     |\n","| 20recall    | 0.0478   |\n","| 40precision | 15.5     |\n","| 40recall    | 0.0846   |\n","| 5precision  | 2.62     |\n","| 5recall     | 0.0148   |\n","| epoch       | 835      |\n","| loss        | 0.1582   |\n","| type        | training |\n","--------------------------\n","836\n","5 precision:  2.62\n","10 precision:  4.64\n","20 precision:  8.26\n","40 precision:  14.14\n","--------------------------\n","| 10precision | 4.64     |\n","| 10recall    | 0.0268   |\n","| 20precision | 8.26     |\n","| 20recall    | 0.0472   |\n","| 40precision | 14.1     |\n","| 40recall    | 0.0802   |\n","| 5precision  | 2.62     |\n","| 5recall     | 0.0154   |\n","| epoch       | 836      |\n","| loss        | 0.1797   |\n","| type        | training |\n","--------------------------\n","837\n","5 precision:  2.58\n","10 precision:  4.72\n","20 precision:  8.78\n","40 precision:  15.66\n","--------------------------\n","| 10precision | 4.72     |\n","| 10recall    | 0.0274   |\n","| 20precision | 8.78     |\n","| 20recall    | 0.051    |\n","| 40precision | 15.7     |\n","| 40recall    | 0.0907   |\n","| 5precision  | 2.58     |\n","| 5recall     | 0.0148   |\n","| epoch       | 837      |\n","| loss        | 0.1636   |\n","| type        | training |\n","--------------------------\n","838\n","5 precision:  2.4\n","10 precision:  4.62\n","20 precision:  8.7\n","40 precision:  15.7\n","--------------------------\n","| 10precision | 4.62     |\n","| 10recall    | 0.0276   |\n","| 20precision | 8.7      |\n","| 20recall    | 0.0511   |\n","| 40precision | 15.7     |\n","| 40recall    | 0.0894   |\n","| 5precision  | 2.4      |\n","| 5recall     | 0.0135   |\n","| epoch       | 838      |\n","| loss        | 0.1674   |\n","| type        | training |\n","--------------------------\n","839\n","5 precision:  2.42\n","10 precision:  4.72\n","20 precision:  8.86\n","40 precision:  15.5\n","--------------------------\n","| 10precision | 4.72     |\n","| 10recall    | 0.0249   |\n","| 20precision | 8.86     |\n","| 20recall    | 0.0463   |\n","| 40precision | 15.5     |\n","| 40recall    | 0.0804   |\n","| 5precision  | 2.42     |\n","| 5recall     | 0.0131   |\n","| epoch       | 839      |\n","| loss        | 0.1694   |\n","| type        | training |\n","--------------------------\n","840\n","5 precision:  2.36\n","10 precision:  4.3\n","20 precision:  7.86\n","40 precision:  14.46\n","--------------------------\n","| 10precision | 4.3      |\n","| 10recall    | 0.0237   |\n","| 20precision | 7.86     |\n","| 20recall    | 0.0435   |\n","| 40precision | 14.5     |\n","| 40recall    | 0.0812   |\n","| 5precision  | 2.36     |\n","| 5recall     | 0.0133   |\n","| epoch       | 840      |\n","| loss        | 0.1743   |\n","| type        | training |\n","--------------------------\n","841\n","5 precision:  2.58\n","10 precision:  4.34\n","20 precision:  8.46\n","40 precision:  15.06\n","--------------------------\n","| 10precision | 4.34     |\n","| 10recall    | 0.0252   |\n","| 20precision | 8.46     |\n","| 20recall    | 0.0488   |\n","| 40precision | 15.1     |\n","| 40recall    | 0.0856   |\n","| 5precision  | 2.58     |\n","| 5recall     | 0.015    |\n","| epoch       | 841      |\n","| loss        | 0.1855   |\n","| type        | training |\n","--------------------------\n","842\n","5 precision:  2.5\n","10 precision:  4.5\n","20 precision:  8.1\n","40 precision:  13.78\n","--------------------------\n","| 10precision | 4.5      |\n","| 10recall    | 0.029    |\n","| 20precision | 8.1      |\n","| 20recall    | 0.0511   |\n","| 40precision | 13.8     |\n","| 40recall    | 0.088    |\n","| 5precision  | 2.5      |\n","| 5recall     | 0.0165   |\n","| epoch       | 842      |\n","| loss        | 0.1917   |\n","| type        | training |\n","--------------------------\n","843\n","5 precision:  2.6\n","10 precision:  4.7\n","20 precision:  8.28\n","40 precision:  14.48\n","--------------------------\n","| 10precision | 4.7      |\n","| 10recall    | 0.0295   |\n","| 20precision | 8.28     |\n","| 20recall    | 0.0505   |\n","| 40precision | 14.5     |\n","| 40recall    | 0.0882   |\n","| 5precision  | 2.6      |\n","| 5recall     | 0.0166   |\n","| epoch       | 843      |\n","| loss        | 0.1765   |\n","| type        | training |\n","--------------------------\n","844\n","5 precision:  2.68\n","10 precision:  4.62\n","20 precision:  8.54\n","40 precision:  15.58\n","--------------------------\n","| 10precision | 4.62     |\n","| 10recall    | 0.0276   |\n","| 20precision | 8.54     |\n","| 20recall    | 0.0518   |\n","| 40precision | 15.6     |\n","| 40recall    | 0.0922   |\n","| 5precision  | 2.68     |\n","| 5recall     | 0.0169   |\n","| epoch       | 844      |\n","| loss        | 0.1496   |\n","| type        | training |\n","--------------------------\n","845\n","5 precision:  2.38\n","10 precision:  4.3\n","20 precision:  7.58\n","40 precision:  13.94\n","--------------------------\n","| 10precision | 4.3      |\n","| 10recall    | 0.0275   |\n","| 20precision | 7.58     |\n","| 20recall    | 0.0483   |\n","| 40precision | 13.9     |\n","| 40recall    | 0.0882   |\n","| 5precision  | 2.38     |\n","| 5recall     | 0.0148   |\n","| epoch       | 845      |\n","| loss        | 0.2253   |\n","| type        | training |\n","--------------------------\n","846\n","5 precision:  2.78\n","10 precision:  4.6\n","20 precision:  8.84\n","40 precision:  15.38\n","--------------------------\n","| 10precision | 4.6      |\n","| 10recall    | 0.0259   |\n","| 20precision | 8.84     |\n","| 20recall    | 0.0487   |\n","| 40precision | 15.4     |\n","| 40recall    | 0.083    |\n","| 5precision  | 2.78     |\n","| 5recall     | 0.0161   |\n","| epoch       | 846      |\n","| loss        | 0.1757   |\n","| type        | training |\n","--------------------------\n","847\n","5 precision:  2.66\n","10 precision:  4.76\n","20 precision:  8.76\n","40 precision:  15.28\n","--------------------------\n","| 10precision | 4.76     |\n","| 10recall    | 0.0223   |\n","| 20precision | 8.76     |\n","| 20recall    | 0.0412   |\n","| 40precision | 15.3     |\n","| 40recall    | 0.0699   |\n","| 5precision  | 2.66     |\n","| 5recall     | 0.0131   |\n","| epoch       | 847      |\n","| loss        | 0.2013   |\n","| type        | training |\n","--------------------------\n","848\n","5 precision:  2.66\n","10 precision:  4.54\n","20 precision:  8.3\n","40 precision:  14.44\n","--------------------------\n","| 10precision | 4.54     |\n","| 10recall    | 0.0271   |\n","| 20precision | 8.3      |\n","| 20recall    | 0.0487   |\n","| 40precision | 14.4     |\n","| 40recall    | 0.0842   |\n","| 5precision  | 2.66     |\n","| 5recall     | 0.0158   |\n","| epoch       | 848      |\n","| loss        | 0.1646   |\n","| type        | training |\n","--------------------------\n","849\n","5 precision:  2.8\n","10 precision:  4.86\n","20 precision:  9.06\n","40 precision:  16.32\n","--------------------------\n","| 10precision | 4.86     |\n","| 10recall    | 0.0264   |\n","| 20precision | 9.06     |\n","| 20recall    | 0.0488   |\n","| 40precision | 16.3     |\n","| 40recall    | 0.0862   |\n","| 5precision  | 2.8      |\n","| 5recall     | 0.0155   |\n","| epoch       | 849      |\n","| loss        | 0.1713   |\n","| type        | training |\n","--------------------------\n","850\n","5 precision:  2.48\n","10 precision:  4.46\n","20 precision:  8.52\n","40 precision:  15.46\n","--------------------------\n","| 10precision | 4.46     |\n","| 10recall    | 0.0242   |\n","| 20precision | 8.52     |\n","| 20recall    | 0.0451   |\n","| 40precision | 15.5     |\n","| 40recall    | 0.0817   |\n","| 5precision  | 2.48     |\n","| 5recall     | 0.0134   |\n","| epoch       | 850      |\n","| loss        | 0.163    |\n","| type        | training |\n","--------------------------\n","851\n","5 precision:  2.58\n","10 precision:  4.64\n","20 precision:  8.66\n","40 precision:  16.38\n","--------------------------\n","| 10precision | 4.64     |\n","| 10recall    | 0.0234   |\n","| 20precision | 8.66     |\n","| 20recall    | 0.0445   |\n","| 40precision | 16.4     |\n","| 40recall    | 0.0827   |\n","| 5precision  | 2.58     |\n","| 5recall     | 0.0137   |\n","| epoch       | 851      |\n","| loss        | 0.1858   |\n","| type        | training |\n","--------------------------\n","852\n","5 precision:  2.66\n","10 precision:  4.62\n","20 precision:  7.78\n","40 precision:  13.9\n","--------------------------\n","| 10precision | 4.62     |\n","| 10recall    | 0.0299   |\n","| 20precision | 7.78     |\n","| 20recall    | 0.0504   |\n","| 40precision | 13.9     |\n","| 40recall    | 0.0885   |\n","| 5precision  | 2.66     |\n","| 5recall     | 0.0172   |\n","| epoch       | 852      |\n","| loss        | 0.189    |\n","| type        | training |\n","--------------------------\n","853\n","5 precision:  2.52\n","10 precision:  4.68\n","20 precision:  8.48\n","40 precision:  14.64\n","--------------------------\n","| 10precision | 4.68     |\n","| 10recall    | 0.0273   |\n","| 20precision | 8.48     |\n","| 20recall    | 0.0479   |\n","| 40precision | 14.6     |\n","| 40recall    | 0.0822   |\n","| 5precision  | 2.52     |\n","| 5recall     | 0.0141   |\n","| epoch       | 853      |\n","| loss        | 0.1861   |\n","| type        | training |\n","--------------------------\n","854\n","5 precision:  2.68\n","10 precision:  4.7\n","20 precision:  8.6\n","40 precision:  15.68\n","--------------------------\n","| 10precision | 4.7      |\n","| 10recall    | 0.031    |\n","| 20precision | 8.6      |\n","| 20recall    | 0.0564   |\n","| 40precision | 15.7     |\n","| 40recall    | 0.1      |\n","| 5precision  | 2.68     |\n","| 5recall     | 0.0178   |\n","| epoch       | 854      |\n","| loss        | 0.1799   |\n","| type        | training |\n","--------------------------\n","855\n","5 precision:  2.04\n","10 precision:  4.14\n","20 precision:  7.96\n","40 precision:  14.64\n","--------------------------\n","| 10precision | 4.14     |\n","| 10recall    | 0.0225   |\n","| 20precision | 7.96     |\n","| 20recall    | 0.0424   |\n","| 40precision | 14.6     |\n","| 40recall    | 0.0766   |\n","| 5precision  | 2.04     |\n","| 5recall     | 0.0115   |\n","| epoch       | 855      |\n","| loss        | 0.1604   |\n","| type        | training |\n","--------------------------\n","856\n","5 precision:  2.38\n","10 precision:  4.38\n","20 precision:  8.28\n","40 precision:  14.9\n","--------------------------\n","| 10precision | 4.38     |\n","| 10recall    | 0.0257   |\n","| 20precision | 8.28     |\n","| 20recall    | 0.048    |\n","| 40precision | 14.9     |\n","| 40recall    | 0.086    |\n","| 5precision  | 2.38     |\n","| 5recall     | 0.0139   |\n","| epoch       | 856      |\n","| loss        | 0.1636   |\n","| type        | training |\n","--------------------------\n","857\n","5 precision:  2.7\n","10 precision:  5.04\n","20 precision:  9.1\n","40 precision:  16.16\n","--------------------------\n","| 10precision | 5.04     |\n","| 10recall    | 0.0272   |\n","| 20precision | 9.1      |\n","| 20recall    | 0.0489   |\n","| 40precision | 16.2     |\n","| 40recall    | 0.0863   |\n","| 5precision  | 2.7      |\n","| 5recall     | 0.015    |\n","| epoch       | 857      |\n","| loss        | 0.1466   |\n","| type        | training |\n","--------------------------\n","858\n","5 precision:  2.44\n","10 precision:  4.72\n","20 precision:  8.12\n","40 precision:  14.92\n","--------------------------\n","| 10precision | 4.72     |\n","| 10recall    | 0.0245   |\n","| 20precision | 8.12     |\n","| 20recall    | 0.0428   |\n","| 40precision | 14.9     |\n","| 40recall    | 0.0791   |\n","| 5precision  | 2.44     |\n","| 5recall     | 0.0126   |\n","| epoch       | 858      |\n","| loss        | 0.1733   |\n","| type        | training |\n","--------------------------\n","859\n","5 precision:  2.74\n","10 precision:  5.0\n","20 precision:  9.02\n","40 precision:  15.72\n","--------------------------\n","| 10precision | 5        |\n","| 10recall    | 0.0288   |\n","| 20precision | 9.02     |\n","| 20recall    | 0.0518   |\n","| 40precision | 15.7     |\n","| 40recall    | 0.0889   |\n","| 5precision  | 2.74     |\n","| 5recall     | 0.0162   |\n","| epoch       | 859      |\n","| loss        | 0.1781   |\n","| type        | training |\n","--------------------------\n","860\n","5 precision:  2.4\n","10 precision:  4.5\n","20 precision:  8.72\n","40 precision:  15.04\n","--------------------------\n","| 10precision | 4.5      |\n","| 10recall    | 0.0263   |\n","| 20precision | 8.72     |\n","| 20recall    | 0.0512   |\n","| 40precision | 15       |\n","| 40recall    | 0.088    |\n","| 5precision  | 2.4      |\n","| 5recall     | 0.0138   |\n","| epoch       | 860      |\n","| loss        | 0.174    |\n","| type        | training |\n","--------------------------\n","861\n","5 precision:  2.86\n","10 precision:  4.8\n","20 precision:  8.5\n","40 precision:  15.56\n","--------------------------\n","| 10precision | 4.8      |\n","| 10recall    | 0.028    |\n","| 20precision | 8.5      |\n","| 20recall    | 0.0493   |\n","| 40precision | 15.6     |\n","| 40recall    | 0.0883   |\n","| 5precision  | 2.86     |\n","| 5recall     | 0.017    |\n","| epoch       | 861      |\n","| loss        | 0.1594   |\n","| type        | training |\n","--------------------------\n","862\n","5 precision:  2.36\n","10 precision:  4.16\n","20 precision:  7.4\n","40 precision:  12.9\n","--------------------------\n","| 10precision | 4.16     |\n","| 10recall    | 0.0277   |\n","| 20precision | 7.4      |\n","| 20recall    | 0.0484   |\n","| 40precision | 12.9     |\n","| 40recall    | 0.0836   |\n","| 5precision  | 2.36     |\n","| 5recall     | 0.0159   |\n","| epoch       | 862      |\n","| loss        | 0.1673   |\n","| type        | training |\n","--------------------------\n","863\n","5 precision:  2.34\n","10 precision:  4.18\n","20 precision:  7.64\n","40 precision:  14.6\n","--------------------------\n","| 10precision | 4.18     |\n","| 10recall    | 0.026    |\n","| 20precision | 7.64     |\n","| 20recall    | 0.0464   |\n","| 40precision | 14.6     |\n","| 40recall    | 0.0868   |\n","| 5precision  | 2.34     |\n","| 5recall     | 0.0145   |\n","| epoch       | 863      |\n","| loss        | 0.1442   |\n","| type        | training |\n","--------------------------\n","864\n","5 precision:  2.54\n","10 precision:  4.78\n","20 precision:  8.46\n","40 precision:  15.18\n","--------------------------\n","| 10precision | 4.78     |\n","| 10recall    | 0.0272   |\n","| 20precision | 8.46     |\n","| 20recall    | 0.0476   |\n","| 40precision | 15.2     |\n","| 40recall    | 0.0855   |\n","| 5precision  | 2.54     |\n","| 5recall     | 0.0146   |\n","| epoch       | 864      |\n","| loss        | 0.1733   |\n","| type        | training |\n","--------------------------\n","865\n","5 precision:  2.48\n","10 precision:  4.2\n","20 precision:  7.7\n","40 precision:  13.64\n","--------------------------\n","| 10precision | 4.2      |\n","| 10recall    | 0.0283   |\n","| 20precision | 7.7      |\n","| 20recall    | 0.0504   |\n","| 40precision | 13.6     |\n","| 40recall    | 0.089    |\n","| 5precision  | 2.48     |\n","| 5recall     | 0.0167   |\n","| epoch       | 865      |\n","| loss        | 0.1701   |\n","| type        | training |\n","--------------------------\n","866\n","5 precision:  2.26\n","10 precision:  4.34\n","20 precision:  8.54\n","40 precision:  15.96\n","--------------------------\n","| 10precision | 4.34     |\n","| 10recall    | 0.024    |\n","| 20precision | 8.54     |\n","| 20recall    | 0.0479   |\n","| 40precision | 16       |\n","| 40recall    | 0.0877   |\n","| 5precision  | 2.26     |\n","| 5recall     | 0.0123   |\n","| epoch       | 866      |\n","| loss        | 0.1559   |\n","| type        | training |\n","--------------------------\n","867\n","5 precision:  2.46\n","10 precision:  4.54\n","20 precision:  8.18\n","40 precision:  14.32\n","--------------------------\n","| 10precision | 4.54     |\n","| 10recall    | 0.0279   |\n","| 20precision | 8.18     |\n","| 20recall    | 0.0515   |\n","| 40precision | 14.3     |\n","| 40recall    | 0.0882   |\n","| 5precision  | 2.46     |\n","| 5recall     | 0.0159   |\n","| epoch       | 867      |\n","| loss        | 0.176    |\n","| type        | training |\n","--------------------------\n","868\n","5 precision:  2.7\n","10 precision:  4.64\n","20 precision:  8.54\n","40 precision:  15.52\n","--------------------------\n","| 10precision | 4.64     |\n","| 10recall    | 0.0265   |\n","| 20precision | 8.54     |\n","| 20recall    | 0.049    |\n","| 40precision | 15.5     |\n","| 40recall    | 0.0865   |\n","| 5precision  | 2.7      |\n","| 5recall     | 0.0158   |\n","| epoch       | 868      |\n","| loss        | 0.1806   |\n","| type        | training |\n","--------------------------\n","869\n","5 precision:  2.16\n","10 precision:  4.46\n","20 precision:  8.6\n","40 precision:  15.0\n","--------------------------\n","| 10precision | 4.46     |\n","| 10recall    | 0.0243   |\n","| 20precision | 8.6      |\n","| 20recall    | 0.046    |\n","| 40precision | 15       |\n","| 40recall    | 0.0797   |\n","| 5precision  | 2.16     |\n","| 5recall     | 0.0116   |\n","| epoch       | 869      |\n","| loss        | 0.1909   |\n","| type        | training |\n","--------------------------\n","870\n","5 precision:  2.6\n","10 precision:  4.74\n","20 precision:  8.42\n","40 precision:  14.98\n","--------------------------\n","| 10precision | 4.74     |\n","| 10recall    | 0.0301   |\n","| 20precision | 8.42     |\n","| 20recall    | 0.0518   |\n","| 40precision | 15       |\n","| 40recall    | 0.0902   |\n","| 5precision  | 2.6      |\n","| 5recall     | 0.0168   |\n","| epoch       | 870      |\n","| loss        | 0.181    |\n","| type        | training |\n","--------------------------\n","871\n","5 precision:  2.78\n","10 precision:  5.2\n","20 precision:  9.66\n","40 precision:  17.08\n","--------------------------\n","| 10precision | 5.2      |\n","| 10recall    | 0.0268   |\n","| 20precision | 9.66     |\n","| 20recall    | 0.0503   |\n","| 40precision | 17.1     |\n","| 40recall    | 0.0877   |\n","| 5precision  | 2.78     |\n","| 5recall     | 0.0149   |\n","| epoch       | 871      |\n","| loss        | 0.1739   |\n","| type        | training |\n","--------------------------\n","872\n","5 precision:  2.84\n","10 precision:  5.22\n","20 precision:  9.16\n","40 precision:  16.86\n","--------------------------\n","| 10precision | 5.22     |\n","| 10recall    | 0.0295   |\n","| 20precision | 9.16     |\n","| 20recall    | 0.0509   |\n","| 40precision | 16.9     |\n","| 40recall    | 0.0927   |\n","| 5precision  | 2.84     |\n","| 5recall     | 0.0165   |\n","| epoch       | 872      |\n","| loss        | 0.1598   |\n","| type        | training |\n","--------------------------\n","873\n","5 precision:  2.68\n","10 precision:  4.92\n","20 precision:  8.98\n","40 precision:  15.62\n","--------------------------\n","| 10precision | 4.92     |\n","| 10recall    | 0.0271   |\n","| 20precision | 8.98     |\n","| 20recall    | 0.0486   |\n","| 40precision | 15.6     |\n","| 40recall    | 0.0835   |\n","| 5precision  | 2.68     |\n","| 5recall     | 0.0148   |\n","| epoch       | 873      |\n","| loss        | 0.1752   |\n","| type        | training |\n","--------------------------\n","874\n","5 precision:  2.66\n","10 precision:  4.86\n","20 precision:  8.86\n","40 precision:  15.88\n","--------------------------\n","| 10precision | 4.86     |\n","| 10recall    | 0.0256   |\n","| 20precision | 8.86     |\n","| 20recall    | 0.0475   |\n","| 40precision | 15.9     |\n","| 40recall    | 0.0844   |\n","| 5precision  | 2.66     |\n","| 5recall     | 0.0136   |\n","| epoch       | 874      |\n","| loss        | 0.171    |\n","| type        | training |\n","--------------------------\n","875\n","5 precision:  2.26\n","10 precision:  4.66\n","20 precision:  8.58\n","40 precision:  15.42\n","--------------------------\n","| 10precision | 4.66     |\n","| 10recall    | 0.029    |\n","| 20precision | 8.58     |\n","| 20recall    | 0.051    |\n","| 40precision | 15.4     |\n","| 40recall    | 0.0909   |\n","| 5precision  | 2.26     |\n","| 5recall     | 0.0139   |\n","| epoch       | 875      |\n","| loss        | 0.1823   |\n","| type        | training |\n","--------------------------\n","876\n","5 precision:  2.62\n","10 precision:  4.96\n","20 precision:  9.18\n","40 precision:  16.46\n","--------------------------\n","| 10precision | 4.96     |\n","| 10recall    | 0.0302   |\n","| 20precision | 9.18     |\n","| 20recall    | 0.0562   |\n","| 40precision | 16.5     |\n","| 40recall    | 0.1      |\n","| 5precision  | 2.62     |\n","| 5recall     | 0.0159   |\n","| epoch       | 876      |\n","| loss        | 0.162    |\n","| type        | training |\n","--------------------------\n","877\n","5 precision:  2.54\n","10 precision:  4.78\n","20 precision:  8.34\n","40 precision:  14.9\n","--------------------------\n","| 10precision | 4.78     |\n","| 10recall    | 0.028    |\n","| 20precision | 8.34     |\n","| 20recall    | 0.0484   |\n","| 40precision | 14.9     |\n","| 40recall    | 0.0865   |\n","| 5precision  | 2.54     |\n","| 5recall     | 0.0148   |\n","| epoch       | 877      |\n","| loss        | 0.1547   |\n","| type        | training |\n","--------------------------\n","878\n","5 precision:  2.58\n","10 precision:  4.96\n","20 precision:  9.36\n","40 precision:  16.36\n","--------------------------\n","| 10precision | 4.96     |\n","| 10recall    | 0.0271   |\n","| 20precision | 9.36     |\n","| 20recall    | 0.0503   |\n","| 40precision | 16.4     |\n","| 40recall    | 0.0868   |\n","| 5precision  | 2.58     |\n","| 5recall     | 0.0145   |\n","| epoch       | 878      |\n","| loss        | 0.1744   |\n","| type        | training |\n","--------------------------\n","879\n","5 precision:  2.7\n","10 precision:  5.2\n","20 precision:  9.38\n","40 precision:  17.46\n","--------------------------\n","| 10precision | 5.2      |\n","| 10recall    | 0.0271   |\n","| 20precision | 9.38     |\n","| 20recall    | 0.0484   |\n","| 40precision | 17.5     |\n","| 40recall    | 0.0888   |\n","| 5precision  | 2.7      |\n","| 5recall     | 0.0141   |\n","| epoch       | 879      |\n","| loss        | 0.1879   |\n","| type        | training |\n","--------------------------\n","880\n","5 precision:  2.62\n","10 precision:  4.56\n","20 precision:  8.5\n","40 precision:  15.08\n","--------------------------\n","| 10precision | 4.56     |\n","| 10recall    | 0.0263   |\n","| 20precision | 8.5      |\n","| 20recall    | 0.0492   |\n","| 40precision | 15.1     |\n","| 40recall    | 0.0873   |\n","| 5precision  | 2.62     |\n","| 5recall     | 0.0154   |\n","| epoch       | 880      |\n","| loss        | 0.1882   |\n","| type        | training |\n","--------------------------\n","881\n","5 precision:  2.5\n","10 precision:  4.6\n","20 precision:  7.9\n","40 precision:  14.58\n","--------------------------\n","| 10precision | 4.6      |\n","| 10recall    | 0.0268   |\n","| 20precision | 7.9      |\n","| 20recall    | 0.0443   |\n","| 40precision | 14.6     |\n","| 40recall    | 0.0817   |\n","| 5precision  | 2.5      |\n","| 5recall     | 0.0143   |\n","| epoch       | 881      |\n","| loss        | 0.1844   |\n","| type        | training |\n","--------------------------\n","882\n","5 precision:  2.38\n","10 precision:  4.64\n","20 precision:  8.86\n","40 precision:  15.86\n","--------------------------\n","| 10precision | 4.64     |\n","| 10recall    | 0.0254   |\n","| 20precision | 8.86     |\n","| 20recall    | 0.0475   |\n","| 40precision | 15.9     |\n","| 40recall    | 0.0847   |\n","| 5precision  | 2.38     |\n","| 5recall     | 0.0129   |\n","| epoch       | 882      |\n","| loss        | 0.1845   |\n","| type        | training |\n","--------------------------\n","883\n","5 precision:  2.7\n","10 precision:  4.7\n","20 precision:  9.02\n","40 precision:  14.9\n","--------------------------\n","| 10precision | 4.7      |\n","| 10recall    | 0.028    |\n","| 20precision | 9.02     |\n","| 20recall    | 0.0536   |\n","| 40precision | 14.9     |\n","| 40recall    | 0.0888   |\n","| 5precision  | 2.7      |\n","| 5recall     | 0.0166   |\n","| epoch       | 883      |\n","| loss        | 0.1534   |\n","| type        | training |\n","--------------------------\n","884\n","5 precision:  2.48\n","10 precision:  4.74\n","20 precision:  8.8\n","40 precision:  15.06\n","--------------------------\n","| 10precision | 4.74     |\n","| 10recall    | 0.029    |\n","| 20precision | 8.8      |\n","| 20recall    | 0.0537   |\n","| 40precision | 15.1     |\n","| 40recall    | 0.0907   |\n","| 5precision  | 2.48     |\n","| 5recall     | 0.0159   |\n","| epoch       | 884      |\n","| loss        | 0.1612   |\n","| type        | training |\n","--------------------------\n","885\n","5 precision:  2.48\n","10 precision:  4.78\n","20 precision:  8.38\n","40 precision:  15.04\n","--------------------------\n","| 10precision | 4.78     |\n","| 10recall    | 0.0287   |\n","| 20precision | 8.38     |\n","| 20recall    | 0.0508   |\n","| 40precision | 15       |\n","| 40recall    | 0.0899   |\n","| 5precision  | 2.48     |\n","| 5recall     | 0.0147   |\n","| epoch       | 885      |\n","| loss        | 0.1912   |\n","| type        | training |\n","--------------------------\n","886\n","5 precision:  2.82\n","10 precision:  4.98\n","20 precision:  8.98\n","40 precision:  15.84\n","--------------------------\n","| 10precision | 4.98     |\n","| 10recall    | 0.0277   |\n","| 20precision | 8.98     |\n","| 20recall    | 0.0494   |\n","| 40precision | 15.8     |\n","| 40recall    | 0.0876   |\n","| 5precision  | 2.82     |\n","| 5recall     | 0.0161   |\n","| epoch       | 886      |\n","| loss        | 0.187    |\n","| type        | training |\n","--------------------------\n","887\n","5 precision:  2.68\n","10 precision:  4.86\n","20 precision:  9.26\n","40 precision:  16.04\n","--------------------------\n","| 10precision | 4.86     |\n","| 10recall    | 0.0284   |\n","| 20precision | 9.26     |\n","| 20recall    | 0.0531   |\n","| 40precision | 16       |\n","| 40recall    | 0.0916   |\n","| 5precision  | 2.68     |\n","| 5recall     | 0.0162   |\n","| epoch       | 887      |\n","| loss        | 0.1698   |\n","| type        | training |\n","--------------------------\n","888\n","5 precision:  2.62\n","10 precision:  4.62\n","20 precision:  8.32\n","40 precision:  14.7\n","--------------------------\n","| 10precision | 4.62     |\n","| 10recall    | 0.027    |\n","| 20precision | 8.32     |\n","| 20recall    | 0.0476   |\n","| 40precision | 14.7     |\n","| 40recall    | 0.0837   |\n","| 5precision  | 2.62     |\n","| 5recall     | 0.0154   |\n","| epoch       | 888      |\n","| loss        | 0.1685   |\n","| type        | training |\n","--------------------------\n","889\n","5 precision:  2.74\n","10 precision:  4.82\n","20 precision:  8.86\n","40 precision:  15.16\n","--------------------------\n","| 10precision | 4.82     |\n","| 10recall    | 0.0293   |\n","| 20precision | 8.86     |\n","| 20recall    | 0.0526   |\n","| 40precision | 15.2     |\n","| 40recall    | 0.0895   |\n","| 5precision  | 2.74     |\n","| 5recall     | 0.0164   |\n","| epoch       | 889      |\n","| loss        | 0.1514   |\n","| type        | training |\n","--------------------------\n","890\n","5 precision:  2.62\n","10 precision:  4.72\n","20 precision:  8.4\n","40 precision:  14.6\n","--------------------------\n","| 10precision | 4.72     |\n","| 10recall    | 0.0298   |\n","| 20precision | 8.4      |\n","| 20recall    | 0.0518   |\n","| 40precision | 14.6     |\n","| 40recall    | 0.0882   |\n","| 5precision  | 2.62     |\n","| 5recall     | 0.017    |\n","| epoch       | 890      |\n","| loss        | 0.1529   |\n","| type        | training |\n","--------------------------\n","891\n","5 precision:  2.36\n","10 precision:  4.28\n","20 precision:  7.68\n","40 precision:  13.88\n","--------------------------\n","| 10precision | 4.28     |\n","| 10recall    | 0.0292   |\n","| 20precision | 7.68     |\n","| 20recall    | 0.0527   |\n","| 40precision | 13.9     |\n","| 40recall    | 0.0958   |\n","| 5precision  | 2.36     |\n","| 5recall     | 0.0167   |\n","| epoch       | 891      |\n","| loss        | 0.1654   |\n","| type        | training |\n","--------------------------\n","892\n","5 precision:  2.52\n","10 precision:  4.46\n","20 precision:  8.12\n","40 precision:  14.48\n","--------------------------\n","| 10precision | 4.46     |\n","| 10recall    | 0.0265   |\n","| 20precision | 8.12     |\n","| 20recall    | 0.0474   |\n","| 40precision | 14.5     |\n","| 40recall    | 0.0849   |\n","| 5precision  | 2.52     |\n","| 5recall     | 0.0153   |\n","| epoch       | 892      |\n","| loss        | 0.1656   |\n","| type        | training |\n","--------------------------\n","893\n","5 precision:  2.26\n","10 precision:  4.06\n","20 precision:  7.28\n","40 precision:  13.1\n","--------------------------\n","| 10precision | 4.06     |\n","| 10recall    | 0.0291   |\n","| 20precision | 7.28     |\n","| 20recall    | 0.052    |\n","| 40precision | 13.1     |\n","| 40recall    | 0.0926   |\n","| 5precision  | 2.26     |\n","| 5recall     | 0.0163   |\n","| epoch       | 893      |\n","| loss        | 0.1608   |\n","| type        | training |\n","--------------------------\n","894\n","5 precision:  2.5\n","10 precision:  4.52\n","20 precision:  8.32\n","40 precision:  15.54\n","--------------------------\n","| 10precision | 4.52     |\n","| 10recall    | 0.0244   |\n","| 20precision | 8.32     |\n","| 20recall    | 0.044    |\n","| 40precision | 15.5     |\n","| 40recall    | 0.0821   |\n","| 5precision  | 2.5      |\n","| 5recall     | 0.0138   |\n","| epoch       | 894      |\n","| loss        | 0.1714   |\n","| type        | training |\n","--------------------------\n","895\n","5 precision:  2.38\n","10 precision:  4.44\n","20 precision:  7.92\n","40 precision:  14.16\n","--------------------------\n","| 10precision | 4.44     |\n","| 10recall    | 0.0289   |\n","| 20precision | 7.92     |\n","| 20recall    | 0.0506   |\n","| 40precision | 14.2     |\n","| 40recall    | 0.0893   |\n","| 5precision  | 2.38     |\n","| 5recall     | 0.0152   |\n","| epoch       | 895      |\n","| loss        | 0.1863   |\n","| type        | training |\n","--------------------------\n","896\n","5 precision:  2.8\n","10 precision:  5.1\n","20 precision:  9.04\n","40 precision:  16.5\n","--------------------------\n","| 10precision | 5.1      |\n","| 10recall    | 0.0294   |\n","| 20precision | 9.04     |\n","| 20recall    | 0.0521   |\n","| 40precision | 16.5     |\n","| 40recall    | 0.0933   |\n","| 5precision  | 2.8      |\n","| 5recall     | 0.016    |\n","| epoch       | 896      |\n","| loss        | 0.1794   |\n","| type        | training |\n","--------------------------\n","897\n","5 precision:  2.54\n","10 precision:  4.6\n","20 precision:  8.64\n","40 precision:  15.4\n","--------------------------\n","| 10precision | 4.6      |\n","| 10recall    | 0.0278   |\n","| 20precision | 8.64     |\n","| 20recall    | 0.0526   |\n","| 40precision | 15.4     |\n","| 40recall    | 0.0923   |\n","| 5precision  | 2.54     |\n","| 5recall     | 0.0158   |\n","| epoch       | 897      |\n","| loss        | 0.1836   |\n","| type        | training |\n","--------------------------\n","898\n","5 precision:  2.46\n","10 precision:  4.7\n","20 precision:  8.46\n","40 precision:  15.68\n","--------------------------\n","| 10precision | 4.7      |\n","| 10recall    | 0.0263   |\n","| 20precision | 8.46     |\n","| 20recall    | 0.0471   |\n","| 40precision | 15.7     |\n","| 40recall    | 0.0856   |\n","| 5precision  | 2.46     |\n","| 5recall     | 0.0141   |\n","| epoch       | 898      |\n","| loss        | 0.1868   |\n","| type        | training |\n","--------------------------\n","899\n","5 precision:  2.7\n","10 precision:  4.62\n","20 precision:  8.96\n","40 precision:  15.72\n","--------------------------\n","| 10precision | 4.62     |\n","| 10recall    | 0.03     |\n","| 20precision | 8.96     |\n","| 20recall    | 0.0572   |\n","| 40precision | 15.7     |\n","| 40recall    | 0.0998   |\n","| 5precision  | 2.7      |\n","| 5recall     | 0.0184   |\n","| epoch       | 899      |\n","| loss        | 0.1926   |\n","| type        | training |\n","--------------------------\n","900\n","5 precision:  2.7\n","10 precision:  5.08\n","20 precision:  9.06\n","40 precision:  16.18\n","--------------------------\n","| 10precision | 5.08     |\n","| 10recall    | 0.0298   |\n","| 20precision | 9.06     |\n","| 20recall    | 0.0528   |\n","| 40precision | 16.2     |\n","| 40recall    | 0.0914   |\n","| 5precision  | 2.7      |\n","| 5recall     | 0.0158   |\n","| epoch       | 900      |\n","| loss        | 0.1587   |\n","| type        | training |\n","--------------------------\n","5 precision:  3.2222\n","10 precision:  5.8889\n","20 precision:  11.5\n","40 precision:  19.2778\n","----------------------------\n","| 10precision | 5.89       |\n","| 10recall    | 0.0335     |\n","| 20precision | 11.5       |\n","| 20recall    | 0.0634     |\n","| 40precision | 19.3       |\n","| 40recall    | 0.105      |\n","| 5precision  | 3.22       |\n","| 5recall     | 0.0183     |\n","| epoch       | 900        |\n","| type        | validation |\n","----------------------------\n","5 precision:  3.3158\n","10 precision:  5.9474\n","20 precision:  11.0263\n","40 precision:  17.9211\n","----------------------------\n","| 10precision | 5.95       |\n","| 10recall    | 0.0352     |\n","| 20precision | 11         |\n","| 20recall    | 0.0636     |\n","| 40precision | 17.9       |\n","| 40recall    | 0.101      |\n","| 5precision  | 3.32       |\n","| 5recall     | 0.0202     |\n","| epoch       | 900        |\n","| type        | evaluation |\n","----------------------------\n","901\n","5 precision:  2.72\n","10 precision:  4.82\n","20 precision:  8.7\n","40 precision:  15.18\n","--------------------------\n","| 10precision | 4.82     |\n","| 10recall    | 0.0307   |\n","| 20precision | 8.7      |\n","| 20recall    | 0.0541   |\n","| 40precision | 15.2     |\n","| 40recall    | 0.0925   |\n","| 5precision  | 2.72     |\n","| 5recall     | 0.0172   |\n","| epoch       | 901      |\n","| loss        | 0.1814   |\n","| type        | training |\n","--------------------------\n","902\n","5 precision:  2.52\n","10 precision:  4.58\n","20 precision:  8.14\n","40 precision:  15.44\n","--------------------------\n","| 10precision | 4.58     |\n","| 10recall    | 0.0274   |\n","| 20precision | 8.14     |\n","| 20recall    | 0.0478   |\n","| 40precision | 15.4     |\n","| 40recall    | 0.09     |\n","| 5precision  | 2.52     |\n","| 5recall     | 0.015    |\n","| epoch       | 902      |\n","| loss        | 0.1854   |\n","| type        | training |\n","--------------------------\n","903\n","5 precision:  2.6\n","10 precision:  4.26\n","20 precision:  8.66\n","40 precision:  15.66\n","--------------------------\n","| 10precision | 4.26     |\n","| 10recall    | 0.0229   |\n","| 20precision | 8.66     |\n","| 20recall    | 0.0465   |\n","| 40precision | 15.7     |\n","| 40recall    | 0.0812   |\n","| 5precision  | 2.6      |\n","| 5recall     | 0.0137   |\n","| epoch       | 903      |\n","| loss        | 0.1301   |\n","| type        | training |\n","--------------------------\n","904\n","5 precision:  2.54\n","10 precision:  4.92\n","20 precision:  9.4\n","40 precision:  17.34\n","--------------------------\n","| 10precision | 4.92     |\n","| 10recall    | 0.0256   |\n","| 20precision | 9.4      |\n","| 20recall    | 0.0491   |\n","| 40precision | 17.3     |\n","| 40recall    | 0.0912   |\n","| 5precision  | 2.54     |\n","| 5recall     | 0.0132   |\n","| epoch       | 904      |\n","| loss        | 0.1691   |\n","| type        | training |\n","--------------------------\n","905\n","5 precision:  2.66\n","10 precision:  5.04\n","20 precision:  9.32\n","40 precision:  16.62\n","--------------------------\n","| 10precision | 5.04     |\n","| 10recall    | 0.0291   |\n","| 20precision | 9.32     |\n","| 20recall    | 0.0526   |\n","| 40precision | 16.6     |\n","| 40recall    | 0.0928   |\n","| 5precision  | 2.66     |\n","| 5recall     | 0.0152   |\n","| epoch       | 905      |\n","| loss        | 0.1831   |\n","| type        | training |\n","--------------------------\n","906\n","5 precision:  2.52\n","10 precision:  4.56\n","20 precision:  8.36\n","40 precision:  15.04\n","--------------------------\n","| 10precision | 4.56     |\n","| 10recall    | 0.0288   |\n","| 20precision | 8.36     |\n","| 20recall    | 0.0531   |\n","| 40precision | 15       |\n","| 40recall    | 0.0937   |\n","| 5precision  | 2.52     |\n","| 5recall     | 0.016    |\n","| epoch       | 906      |\n","| loss        | 0.202    |\n","| type        | training |\n","--------------------------\n","907\n","5 precision:  2.52\n","10 precision:  4.62\n","20 precision:  8.64\n","40 precision:  15.3\n","--------------------------\n","| 10precision | 4.62     |\n","| 10recall    | 0.0274   |\n","| 20precision | 8.64     |\n","| 20recall    | 0.0513   |\n","| 40precision | 15.3     |\n","| 40recall    | 0.0884   |\n","| 5precision  | 2.52     |\n","| 5recall     | 0.0151   |\n","| epoch       | 907      |\n","| loss        | 0.1684   |\n","| type        | training |\n","--------------------------\n","908\n","5 precision:  2.56\n","10 precision:  4.34\n","20 precision:  8.2\n","40 precision:  14.88\n","--------------------------\n","| 10precision | 4.34     |\n","| 10recall    | 0.0266   |\n","| 20precision | 8.2      |\n","| 20recall    | 0.05     |\n","| 40precision | 14.9     |\n","| 40recall    | 0.0893   |\n","| 5precision  | 2.56     |\n","| 5recall     | 0.0157   |\n","| epoch       | 908      |\n","| loss        | 0.1602   |\n","| type        | training |\n","--------------------------\n","909\n","5 precision:  2.6\n","10 precision:  4.7\n","20 precision:  8.54\n","40 precision:  14.78\n","--------------------------\n","| 10precision | 4.7      |\n","| 10recall    | 0.0284   |\n","| 20precision | 8.54     |\n","| 20recall    | 0.0517   |\n","| 40precision | 14.8     |\n","| 40recall    | 0.0876   |\n","| 5precision  | 2.6      |\n","| 5recall     | 0.0163   |\n","| epoch       | 909      |\n","| loss        | 0.1935   |\n","| type        | training |\n","--------------------------\n","910\n","5 precision:  2.2\n","10 precision:  4.66\n","20 precision:  8.7\n","40 precision:  15.64\n","--------------------------\n","| 10precision | 4.66     |\n","| 10recall    | 0.0276   |\n","| 20precision | 8.7      |\n","| 20recall    | 0.0511   |\n","| 40precision | 15.6     |\n","| 40recall    | 0.0905   |\n","| 5precision  | 2.2      |\n","| 5recall     | 0.0132   |\n","| epoch       | 910      |\n","| loss        | 0.1604   |\n","| type        | training |\n","--------------------------\n","911\n","5 precision:  2.76\n","10 precision:  5.1\n","20 precision:  9.6\n","40 precision:  16.78\n","--------------------------\n","| 10precision | 5.1      |\n","| 10recall    | 0.0291   |\n","| 20precision | 9.6      |\n","| 20recall    | 0.0542   |\n","| 40precision | 16.8     |\n","| 40recall    | 0.0923   |\n","| 5precision  | 2.76     |\n","| 5recall     | 0.0158   |\n","| epoch       | 911      |\n","| loss        | 0.1824   |\n","| type        | training |\n","--------------------------\n","912\n","5 precision:  2.66\n","10 precision:  4.9\n","20 precision:  8.6\n","40 precision:  15.84\n","--------------------------\n","| 10precision | 4.9      |\n","| 10recall    | 0.026    |\n","| 20precision | 8.6      |\n","| 20recall    | 0.0454   |\n","| 40precision | 15.8     |\n","| 40recall    | 0.0834   |\n","| 5precision  | 2.66     |\n","| 5recall     | 0.014    |\n","| epoch       | 912      |\n","| loss        | 0.1919   |\n","| type        | training |\n","--------------------------\n","913\n","5 precision:  2.74\n","10 precision:  4.62\n","20 precision:  8.94\n","40 precision:  16.02\n","--------------------------\n","| 10precision | 4.62     |\n","| 10recall    | 0.0258   |\n","| 20precision | 8.94     |\n","| 20recall    | 0.0496   |\n","| 40precision | 16       |\n","| 40recall    | 0.0867   |\n","| 5precision  | 2.74     |\n","| 5recall     | 0.0156   |\n","| epoch       | 913      |\n","| loss        | 0.1858   |\n","| type        | training |\n","--------------------------\n","914\n","5 precision:  2.76\n","10 precision:  4.56\n","20 precision:  8.64\n","40 precision:  15.4\n","--------------------------\n","| 10precision | 4.56     |\n","| 10recall    | 0.0284   |\n","| 20precision | 8.64     |\n","| 20recall    | 0.0532   |\n","| 40precision | 15.4     |\n","| 40recall    | 0.0945   |\n","| 5precision  | 2.76     |\n","| 5recall     | 0.0175   |\n","| epoch       | 914      |\n","| loss        | 0.1779   |\n","| type        | training |\n","--------------------------\n","915\n","5 precision:  2.68\n","10 precision:  4.74\n","20 precision:  8.76\n","40 precision:  15.22\n","--------------------------\n","| 10precision | 4.74     |\n","| 10recall    | 0.0301   |\n","| 20precision | 8.76     |\n","| 20recall    | 0.0537   |\n","| 40precision | 15.2     |\n","| 40recall    | 0.0921   |\n","| 5precision  | 2.68     |\n","| 5recall     | 0.0168   |\n","| epoch       | 915      |\n","| loss        | 0.1812   |\n","| type        | training |\n","--------------------------\n","916\n","5 precision:  2.72\n","10 precision:  5.0\n","20 precision:  9.16\n","40 precision:  16.52\n","--------------------------\n","| 10precision | 5        |\n","| 10recall    | 0.0291   |\n","| 20precision | 9.16     |\n","| 20recall    | 0.0541   |\n","| 40precision | 16.5     |\n","| 40recall    | 0.0951   |\n","| 5precision  | 2.72     |\n","| 5recall     | 0.0166   |\n","| epoch       | 916      |\n","| loss        | 0.1854   |\n","| type        | training |\n","--------------------------\n","917\n","5 precision:  2.8\n","10 precision:  5.02\n","20 precision:  9.06\n","40 precision:  16.1\n","--------------------------\n","| 10precision | 5.02     |\n","| 10recall    | 0.0327   |\n","| 20precision | 9.06     |\n","| 20recall    | 0.0574   |\n","| 40precision | 16.1     |\n","| 40recall    | 0.1      |\n","| 5precision  | 2.8      |\n","| 5recall     | 0.0184   |\n","| epoch       | 917      |\n","| loss        | 0.2053   |\n","| type        | training |\n","--------------------------\n","918\n","5 precision:  2.8\n","10 precision:  5.22\n","20 precision:  9.54\n","40 precision:  16.18\n","--------------------------\n","| 10precision | 5.22     |\n","| 10recall    | 0.0323   |\n","| 20precision | 9.54     |\n","| 20recall    | 0.0587   |\n","| 40precision | 16.2     |\n","| 40recall    | 0.0985   |\n","| 5precision  | 2.8      |\n","| 5recall     | 0.0176   |\n","| epoch       | 918      |\n","| loss        | 0.1566   |\n","| type        | training |\n","--------------------------\n","919\n","5 precision:  2.82\n","10 precision:  4.96\n","20 precision:  9.32\n","40 precision:  15.8\n","--------------------------\n","| 10precision | 4.96     |\n","| 10recall    | 0.0287   |\n","| 20precision | 9.32     |\n","| 20recall    | 0.0541   |\n","| 40precision | 15.8     |\n","| 40recall    | 0.0912   |\n","| 5precision  | 2.82     |\n","| 5recall     | 0.0169   |\n","| epoch       | 919      |\n","| loss        | 0.183    |\n","| type        | training |\n","--------------------------\n","920\n","5 precision:  2.42\n","10 precision:  4.7\n","20 precision:  8.96\n","40 precision:  15.8\n","--------------------------\n","| 10precision | 4.7      |\n","| 10recall    | 0.0291   |\n","| 20precision | 8.96     |\n","| 20recall    | 0.0565   |\n","| 40precision | 15.8     |\n","| 40recall    | 0.0993   |\n","| 5precision  | 2.42     |\n","| 5recall     | 0.0153   |\n","| epoch       | 920      |\n","| loss        | 0.1779   |\n","| type        | training |\n","--------------------------\n","921\n","5 precision:  2.5\n","10 precision:  4.58\n","20 precision:  8.42\n","40 precision:  14.56\n","--------------------------\n","| 10precision | 4.58     |\n","| 10recall    | 0.0283   |\n","| 20precision | 8.42     |\n","| 20recall    | 0.0514   |\n","| 40precision | 14.6     |\n","| 40recall    | 0.0884   |\n","| 5precision  | 2.5      |\n","| 5recall     | 0.0156   |\n","| epoch       | 921      |\n","| loss        | 0.1625   |\n","| type        | training |\n","--------------------------\n","922\n","5 precision:  2.78\n","10 precision:  5.06\n","20 precision:  9.16\n","40 precision:  16.18\n","--------------------------\n","| 10precision | 5.06     |\n","| 10recall    | 0.0294   |\n","| 20precision | 9.16     |\n","| 20recall    | 0.0519   |\n","| 40precision | 16.2     |\n","| 40recall    | 0.0899   |\n","| 5precision  | 2.78     |\n","| 5recall     | 0.0164   |\n","| epoch       | 922      |\n","| loss        | 0.1804   |\n","| type        | training |\n","--------------------------\n","923\n","5 precision:  2.76\n","10 precision:  5.1\n","20 precision:  9.48\n","40 precision:  16.74\n","--------------------------\n","| 10precision | 5.1      |\n","| 10recall    | 0.028    |\n","| 20precision | 9.48     |\n","| 20recall    | 0.051    |\n","| 40precision | 16.7     |\n","| 40recall    | 0.0902   |\n","| 5precision  | 2.76     |\n","| 5recall     | 0.0158   |\n","| epoch       | 923      |\n","| loss        | 0.1715   |\n","| type        | training |\n","--------------------------\n","924\n","5 precision:  2.84\n","10 precision:  5.16\n","20 precision:  9.16\n","40 precision:  16.48\n","--------------------------\n","| 10precision | 5.16     |\n","| 10recall    | 0.0318   |\n","| 20precision | 9.16     |\n","| 20recall    | 0.0565   |\n","| 40precision | 16.5     |\n","| 40recall    | 0.0998   |\n","| 5precision  | 2.84     |\n","| 5recall     | 0.0176   |\n","| epoch       | 924      |\n","| loss        | 0.1884   |\n","| type        | training |\n","--------------------------\n","925\n","5 precision:  2.86\n","10 precision:  5.24\n","20 precision:  9.12\n","40 precision:  16.42\n","--------------------------\n","| 10precision | 5.24     |\n","| 10recall    | 0.0303   |\n","| 20precision | 9.12     |\n","| 20recall    | 0.052    |\n","| 40precision | 16.4     |\n","| 40recall    | 0.0912   |\n","| 5precision  | 2.86     |\n","| 5recall     | 0.0165   |\n","| epoch       | 925      |\n","| loss        | 0.1853   |\n","| type        | training |\n","--------------------------\n","926\n","5 precision:  2.68\n","10 precision:  4.72\n","20 precision:  8.92\n","40 precision:  15.86\n","--------------------------\n","| 10precision | 4.72     |\n","| 10recall    | 0.0281   |\n","| 20precision | 8.92     |\n","| 20recall    | 0.0516   |\n","| 40precision | 15.9     |\n","| 40recall    | 0.0905   |\n","| 5precision  | 2.68     |\n","| 5recall     | 0.0162   |\n","| epoch       | 926      |\n","| loss        | 0.1794   |\n","| type        | training |\n","--------------------------\n","927\n","5 precision:  2.62\n","10 precision:  4.66\n","20 precision:  8.42\n","40 precision:  15.24\n","--------------------------\n","| 10precision | 4.66     |\n","| 10recall    | 0.0283   |\n","| 20precision | 8.42     |\n","| 20recall    | 0.0506   |\n","| 40precision | 15.2     |\n","| 40recall    | 0.0906   |\n","| 5precision  | 2.62     |\n","| 5recall     | 0.0162   |\n","| epoch       | 927      |\n","| loss        | 0.174    |\n","| type        | training |\n","--------------------------\n","928\n","5 precision:  2.44\n","10 precision:  4.5\n","20 precision:  8.58\n","40 precision:  15.48\n","--------------------------\n","| 10precision | 4.5      |\n","| 10recall    | 0.0279   |\n","| 20precision | 8.58     |\n","| 20recall    | 0.0524   |\n","| 40precision | 15.5     |\n","| 40recall    | 0.0941   |\n","| 5precision  | 2.44     |\n","| 5recall     | 0.0151   |\n","| epoch       | 928      |\n","| loss        | 0.1572   |\n","| type        | training |\n","--------------------------\n","929\n","5 precision:  2.48\n","10 precision:  4.54\n","20 precision:  8.86\n","40 precision:  14.92\n","--------------------------\n","| 10precision | 4.54     |\n","| 10recall    | 0.0281   |\n","| 20precision | 8.86     |\n","| 20recall    | 0.0541   |\n","| 40precision | 14.9     |\n","| 40recall    | 0.0897   |\n","| 5precision  | 2.48     |\n","| 5recall     | 0.0157   |\n","| epoch       | 929      |\n","| loss        | 0.173    |\n","| type        | training |\n","--------------------------\n","930\n","5 precision:  2.92\n","10 precision:  5.14\n","20 precision:  9.42\n","40 precision:  16.7\n","--------------------------\n","| 10precision | 5.14     |\n","| 10recall    | 0.0329   |\n","| 20precision | 9.42     |\n","| 20recall    | 0.0603   |\n","| 40precision | 16.7     |\n","| 40recall    | 0.105    |\n","| 5precision  | 2.92     |\n","| 5recall     | 0.018    |\n","| epoch       | 930      |\n","| loss        | 0.1883   |\n","| type        | training |\n","--------------------------\n","931\n","5 precision:  2.4\n","10 precision:  4.54\n","20 precision:  8.48\n","40 precision:  15.32\n","--------------------------\n","| 10precision | 4.54     |\n","| 10recall    | 0.0241   |\n","| 20precision | 8.48     |\n","| 20recall    | 0.0444   |\n","| 40precision | 15.3     |\n","| 40recall    | 0.0797   |\n","| 5precision  | 2.4      |\n","| 5recall     | 0.013    |\n","| epoch       | 931      |\n","| loss        | 0.1748   |\n","| type        | training |\n","--------------------------\n","932\n","5 precision:  2.34\n","10 precision:  4.6\n","20 precision:  8.62\n","40 precision:  15.34\n","--------------------------\n","| 10precision | 4.6      |\n","| 10recall    | 0.0267   |\n","| 20precision | 8.62     |\n","| 20recall    | 0.0491   |\n","| 40precision | 15.3     |\n","| 40recall    | 0.0874   |\n","| 5precision  | 2.34     |\n","| 5recall     | 0.0135   |\n","| epoch       | 932      |\n","| loss        | 0.168    |\n","| type        | training |\n","--------------------------\n","933\n","5 precision:  2.4\n","10 precision:  4.6\n","20 precision:  8.52\n","40 precision:  14.58\n","--------------------------\n","| 10precision | 4.6      |\n","| 10recall    | 0.0286   |\n","| 20precision | 8.52     |\n","| 20recall    | 0.0513   |\n","| 40precision | 14.6     |\n","| 40recall    | 0.085    |\n","| 5precision  | 2.4      |\n","| 5recall     | 0.0152   |\n","| epoch       | 933      |\n","| loss        | 0.187    |\n","| type        | training |\n","--------------------------\n","934\n","5 precision:  2.56\n","10 precision:  4.62\n","20 precision:  8.14\n","40 precision:  14.82\n","--------------------------\n","| 10precision | 4.62     |\n","| 10recall    | 0.0285   |\n","| 20precision | 8.14     |\n","| 20recall    | 0.0499   |\n","| 40precision | 14.8     |\n","| 40recall    | 0.0912   |\n","| 5precision  | 2.56     |\n","| 5recall     | 0.0157   |\n","| epoch       | 934      |\n","| loss        | 0.1833   |\n","| type        | training |\n","--------------------------\n","935\n","5 precision:  2.66\n","10 precision:  4.8\n","20 precision:  8.74\n","40 precision:  15.42\n","--------------------------\n","| 10precision | 4.8      |\n","| 10recall    | 0.0305   |\n","| 20precision | 8.74     |\n","| 20recall    | 0.0544   |\n","| 40precision | 15.4     |\n","| 40recall    | 0.0944   |\n","| 5precision  | 2.66     |\n","| 5recall     | 0.0175   |\n","| epoch       | 935      |\n","| loss        | 0.1598   |\n","| type        | training |\n","--------------------------\n","936\n","5 precision:  2.82\n","10 precision:  5.12\n","20 precision:  9.0\n","40 precision:  16.16\n","--------------------------\n","| 10precision | 5.12     |\n","| 10recall    | 0.0277   |\n","| 20precision | 9        |\n","| 20recall    | 0.0477   |\n","| 40precision | 16.2     |\n","| 40recall    | 0.0854   |\n","| 5precision  | 2.82     |\n","| 5recall     | 0.0155   |\n","| epoch       | 936      |\n","| loss        | 0.1691   |\n","| type        | training |\n","--------------------------\n","937\n","5 precision:  2.54\n","10 precision:  4.8\n","20 precision:  8.2\n","40 precision:  15.0\n","--------------------------\n","| 10precision | 4.8      |\n","| 10recall    | 0.0266   |\n","| 20precision | 8.2      |\n","| 20recall    | 0.0442   |\n","| 40precision | 15       |\n","| 40recall    | 0.08     |\n","| 5precision  | 2.54     |\n","| 5recall     | 0.0143   |\n","| epoch       | 937      |\n","| loss        | 0.1788   |\n","| type        | training |\n","--------------------------\n","938\n","5 precision:  2.62\n","10 precision:  4.74\n","20 precision:  8.44\n","40 precision:  15.46\n","--------------------------\n","| 10precision | 4.74     |\n","| 10recall    | 0.0279   |\n","| 20precision | 8.44     |\n","| 20recall    | 0.0478   |\n","| 40precision | 15.5     |\n","| 40recall    | 0.0868   |\n","| 5precision  | 2.62     |\n","| 5recall     | 0.0156   |\n","| epoch       | 938      |\n","| loss        | 0.1889   |\n","| type        | training |\n","--------------------------\n","939\n","5 precision:  2.68\n","10 precision:  4.9\n","20 precision:  9.04\n","40 precision:  16.6\n","--------------------------\n","| 10precision | 4.9      |\n","| 10recall    | 0.026    |\n","| 20precision | 9.04     |\n","| 20recall    | 0.0471   |\n","| 40precision | 16.6     |\n","| 40recall    | 0.0847   |\n","| 5precision  | 2.68     |\n","| 5recall     | 0.0143   |\n","| epoch       | 939      |\n","| loss        | 0.1781   |\n","| type        | training |\n","--------------------------\n","940\n","5 precision:  2.76\n","10 precision:  5.04\n","20 precision:  9.18\n","40 precision:  15.5\n","--------------------------\n","| 10precision | 5.04     |\n","| 10recall    | 0.0294   |\n","| 20precision | 9.18     |\n","| 20recall    | 0.0517   |\n","| 40precision | 15.5     |\n","| 40recall    | 0.0859   |\n","| 5precision  | 2.76     |\n","| 5recall     | 0.016    |\n","| epoch       | 940      |\n","| loss        | 0.1807   |\n","| type        | training |\n","--------------------------\n","941\n","5 precision:  2.82\n","10 precision:  5.08\n","20 precision:  9.32\n","40 precision:  15.88\n","--------------------------\n","| 10precision | 5.08     |\n","| 10recall    | 0.0306   |\n","| 20precision | 9.32     |\n","| 20recall    | 0.0526   |\n","| 40precision | 15.9     |\n","| 40recall    | 0.0862   |\n","| 5precision  | 2.82     |\n","| 5recall     | 0.017    |\n","| epoch       | 941      |\n","| loss        | 0.1722   |\n","| type        | training |\n","--------------------------\n","942\n","5 precision:  2.7\n","10 precision:  5.12\n","20 precision:  9.22\n","40 precision:  16.98\n","--------------------------\n","| 10precision | 5.12     |\n","| 10recall    | 0.0304   |\n","| 20precision | 9.22     |\n","| 20recall    | 0.0532   |\n","| 40precision | 17       |\n","| 40recall    | 0.097    |\n","| 5precision  | 2.7      |\n","| 5recall     | 0.0158   |\n","| epoch       | 942      |\n","| loss        | 0.1517   |\n","| type        | training |\n","--------------------------\n","943\n","5 precision:  2.46\n","10 precision:  4.54\n","20 precision:  8.28\n","40 precision:  14.56\n","--------------------------\n","| 10precision | 4.54     |\n","| 10recall    | 0.0284   |\n","| 20precision | 8.28     |\n","| 20recall    | 0.0512   |\n","| 40precision | 14.6     |\n","| 40recall    | 0.0886   |\n","| 5precision  | 2.46     |\n","| 5recall     | 0.0157   |\n","| epoch       | 943      |\n","| loss        | 0.1416   |\n","| type        | training |\n","--------------------------\n","944\n","5 precision:  2.58\n","10 precision:  4.78\n","20 precision:  8.5\n","40 precision:  14.96\n","--------------------------\n","| 10precision | 4.78     |\n","| 10recall    | 0.0276   |\n","| 20precision | 8.5      |\n","| 20recall    | 0.0482   |\n","| 40precision | 15       |\n","| 40recall    | 0.0848   |\n","| 5precision  | 2.58     |\n","| 5recall     | 0.0152   |\n","| epoch       | 944      |\n","| loss        | 0.187    |\n","| type        | training |\n","--------------------------\n","945\n","5 precision:  2.46\n","10 precision:  4.56\n","20 precision:  8.72\n","40 precision:  15.26\n","--------------------------\n","| 10precision | 4.56     |\n","| 10recall    | 0.0282   |\n","| 20precision | 8.72     |\n","| 20recall    | 0.0549   |\n","| 40precision | 15.3     |\n","| 40recall    | 0.0951   |\n","| 5precision  | 2.46     |\n","| 5recall     | 0.0154   |\n","| epoch       | 945      |\n","| loss        | 0.1509   |\n","| type        | training |\n","--------------------------\n","946\n","5 precision:  2.7\n","10 precision:  4.96\n","20 precision:  9.06\n","40 precision:  16.16\n","--------------------------\n","| 10precision | 4.96     |\n","| 10recall    | 0.026    |\n","| 20precision | 9.06     |\n","| 20recall    | 0.0474   |\n","| 40precision | 16.2     |\n","| 40recall    | 0.0841   |\n","| 5precision  | 2.7      |\n","| 5recall     | 0.0143   |\n","| epoch       | 946      |\n","| loss        | 0.1801   |\n","| type        | training |\n","--------------------------\n","947\n","5 precision:  2.54\n","10 precision:  4.66\n","20 precision:  8.7\n","40 precision:  15.14\n","--------------------------\n","| 10precision | 4.66     |\n","| 10recall    | 0.0316   |\n","| 20precision | 8.7      |\n","| 20recall    | 0.0573   |\n","| 40precision | 15.1     |\n","| 40recall    | 0.0958   |\n","| 5precision  | 2.54     |\n","| 5recall     | 0.0173   |\n","| epoch       | 947      |\n","| loss        | 0.1643   |\n","| type        | training |\n","--------------------------\n","948\n","5 precision:  2.92\n","10 precision:  5.3\n","20 precision:  9.64\n","40 precision:  16.42\n","--------------------------\n","| 10precision | 5.3      |\n","| 10recall    | 0.0317   |\n","| 20precision | 9.64     |\n","| 20recall    | 0.0573   |\n","| 40precision | 16.4     |\n","| 40recall    | 0.0948   |\n","| 5precision  | 2.92     |\n","| 5recall     | 0.0178   |\n","| epoch       | 948      |\n","| loss        | 0.1763   |\n","| type        | training |\n","--------------------------\n","949\n","5 precision:  2.52\n","10 precision:  4.64\n","20 precision:  8.76\n","40 precision:  15.96\n","--------------------------\n","| 10precision | 4.64     |\n","| 10recall    | 0.0268   |\n","| 20precision | 8.76     |\n","| 20recall    | 0.0508   |\n","| 40precision | 16       |\n","| 40recall    | 0.09     |\n","| 5precision  | 2.52     |\n","| 5recall     | 0.0151   |\n","| epoch       | 949      |\n","| loss        | 0.1597   |\n","| type        | training |\n","--------------------------\n","950\n","5 precision:  2.78\n","10 precision:  5.28\n","20 precision:  9.6\n","40 precision:  17.16\n","--------------------------\n","| 10precision | 5.28     |\n","| 10recall    | 0.0299   |\n","| 20precision | 9.6      |\n","| 20recall    | 0.0526   |\n","| 40precision | 17.2     |\n","| 40recall    | 0.0937   |\n","| 5precision  | 2.78     |\n","| 5recall     | 0.0155   |\n","| epoch       | 950      |\n","| loss        | 0.1691   |\n","| type        | training |\n","--------------------------\n","951\n","5 precision:  2.74\n","10 precision:  4.92\n","20 precision:  8.82\n","40 precision:  15.5\n","--------------------------\n","| 10precision | 4.92     |\n","| 10recall    | 0.0283   |\n","| 20precision | 8.82     |\n","| 20recall    | 0.0488   |\n","| 40precision | 15.5     |\n","| 40recall    | 0.086    |\n","| 5precision  | 2.74     |\n","| 5recall     | 0.0161   |\n","| epoch       | 951      |\n","| loss        | 0.1973   |\n","| type        | training |\n","--------------------------\n","952\n","5 precision:  2.56\n","10 precision:  4.92\n","20 precision:  9.38\n","40 precision:  15.9\n","--------------------------\n","| 10precision | 4.92     |\n","| 10recall    | 0.0288   |\n","| 20precision | 9.38     |\n","| 20recall    | 0.0547   |\n","| 40precision | 15.9     |\n","| 40recall    | 0.0919   |\n","| 5precision  | 2.56     |\n","| 5recall     | 0.0148   |\n","| epoch       | 952      |\n","| loss        | 0.1952   |\n","| type        | training |\n","--------------------------\n","953\n","5 precision:  2.32\n","10 precision:  4.48\n","20 precision:  8.04\n","40 precision:  14.58\n","--------------------------\n","| 10precision | 4.48     |\n","| 10recall    | 0.0254   |\n","| 20precision | 8.04     |\n","| 20recall    | 0.0462   |\n","| 40precision | 14.6     |\n","| 40recall    | 0.0821   |\n","| 5precision  | 2.32     |\n","| 5recall     | 0.0135   |\n","| epoch       | 953      |\n","| loss        | 0.1705   |\n","| type        | training |\n","--------------------------\n","954\n","5 precision:  2.72\n","10 precision:  4.84\n","20 precision:  8.74\n","40 precision:  14.88\n","--------------------------\n","| 10precision | 4.84     |\n","| 10recall    | 0.0293   |\n","| 20precision | 8.74     |\n","| 20recall    | 0.0522   |\n","| 40precision | 14.9     |\n","| 40recall    | 0.0874   |\n","| 5precision  | 2.72     |\n","| 5recall     | 0.0166   |\n","| epoch       | 954      |\n","| loss        | 0.1784   |\n","| type        | training |\n","--------------------------\n","955\n","5 precision:  2.4\n","10 precision:  4.5\n","20 precision:  8.24\n","40 precision:  14.86\n","--------------------------\n","| 10precision | 4.5      |\n","| 10recall    | 0.0277   |\n","| 20precision | 8.24     |\n","| 20recall    | 0.0507   |\n","| 40precision | 14.9     |\n","| 40recall    | 0.0898   |\n","| 5precision  | 2.4      |\n","| 5recall     | 0.0148   |\n","| epoch       | 955      |\n","| loss        | 0.156    |\n","| type        | training |\n","--------------------------\n","956\n","5 precision:  2.72\n","10 precision:  5.36\n","20 precision:  9.7\n","40 precision:  17.24\n","--------------------------\n","| 10precision | 5.36     |\n","| 10recall    | 0.0291   |\n","| 20precision | 9.7      |\n","| 20recall    | 0.0526   |\n","| 40precision | 17.2     |\n","| 40recall    | 0.0908   |\n","| 5precision  | 2.72     |\n","| 5recall     | 0.0146   |\n","| epoch       | 956      |\n","| loss        | 0.1799   |\n","| type        | training |\n","--------------------------\n","957\n","5 precision:  2.42\n","10 precision:  4.64\n","20 precision:  8.5\n","40 precision:  15.34\n","--------------------------\n","| 10precision | 4.64     |\n","| 10recall    | 0.0267   |\n","| 20precision | 8.5      |\n","| 20recall    | 0.0478   |\n","| 40precision | 15.3     |\n","| 40recall    | 0.0849   |\n","| 5precision  | 2.42     |\n","| 5recall     | 0.0137   |\n","| epoch       | 957      |\n","| loss        | 0.1789   |\n","| type        | training |\n","--------------------------\n","958\n","5 precision:  2.72\n","10 precision:  5.12\n","20 precision:  9.52\n","40 precision:  16.3\n","--------------------------\n","| 10precision | 5.12     |\n","| 10recall    | 0.0321   |\n","| 20precision | 9.52     |\n","| 20recall    | 0.0574   |\n","| 40precision | 16.3     |\n","| 40recall    | 0.0969   |\n","| 5precision  | 2.72     |\n","| 5recall     | 0.0177   |\n","| epoch       | 958      |\n","| loss        | 0.1636   |\n","| type        | training |\n","--------------------------\n","959\n","5 precision:  2.76\n","10 precision:  4.9\n","20 precision:  8.92\n","40 precision:  16.1\n","--------------------------\n","| 10precision | 4.9      |\n","| 10recall    | 0.0299   |\n","| 20precision | 8.92     |\n","| 20recall    | 0.0532   |\n","| 40precision | 16.1     |\n","| 40recall    | 0.0931   |\n","| 5precision  | 2.76     |\n","| 5recall     | 0.0171   |\n","| epoch       | 959      |\n","| loss        | 0.1542   |\n","| type        | training |\n","--------------------------\n","960\n","5 precision:  2.66\n","10 precision:  4.9\n","20 precision:  8.92\n","40 precision:  15.6\n","--------------------------\n","| 10precision | 4.9      |\n","| 10recall    | 0.0288   |\n","| 20precision | 8.92     |\n","| 20recall    | 0.052    |\n","| 40precision | 15.6     |\n","| 40recall    | 0.0893   |\n","| 5precision  | 2.66     |\n","| 5recall     | 0.0161   |\n","| epoch       | 960      |\n","| loss        | 0.1769   |\n","| type        | training |\n","--------------------------\n","961\n","5 precision:  2.82\n","10 precision:  5.02\n","20 precision:  8.9\n","40 precision:  15.12\n","--------------------------\n","| 10precision | 5.02     |\n","| 10recall    | 0.0323   |\n","| 20precision | 8.9      |\n","| 20recall    | 0.0567   |\n","| 40precision | 15.1     |\n","| 40recall    | 0.0932   |\n","| 5precision  | 2.82     |\n","| 5recall     | 0.0187   |\n","| epoch       | 961      |\n","| loss        | 0.1762   |\n","| type        | training |\n","--------------------------\n","962\n","5 precision:  2.8\n","10 precision:  5.2\n","20 precision:  9.2\n","40 precision:  16.02\n","--------------------------\n","| 10precision | 5.2      |\n","| 10recall    | 0.0298   |\n","| 20precision | 9.2      |\n","| 20recall    | 0.0529   |\n","| 40precision | 16       |\n","| 40recall    | 0.0902   |\n","| 5precision  | 2.8      |\n","| 5recall     | 0.0158   |\n","| epoch       | 962      |\n","| loss        | 0.1706   |\n","| type        | training |\n","--------------------------\n","963\n","5 precision:  2.58\n","10 precision:  4.58\n","20 precision:  8.2\n","40 precision:  15.18\n","--------------------------\n","| 10precision | 4.58     |\n","| 10recall    | 0.0278   |\n","| 20precision | 8.2      |\n","| 20recall    | 0.0504   |\n","| 40precision | 15.2     |\n","| 40recall    | 0.0929   |\n","| 5precision  | 2.58     |\n","| 5recall     | 0.0156   |\n","| epoch       | 963      |\n","| loss        | 0.1693   |\n","| type        | training |\n","--------------------------\n","964\n","5 precision:  2.7\n","10 precision:  4.84\n","20 precision:  9.12\n","40 precision:  17.06\n","--------------------------\n","| 10precision | 4.84     |\n","| 10recall    | 0.0275   |\n","| 20precision | 9.12     |\n","| 20recall    | 0.0513   |\n","| 40precision | 17.1     |\n","| 40recall    | 0.0942   |\n","| 5precision  | 2.7      |\n","| 5recall     | 0.0155   |\n","| epoch       | 964      |\n","| loss        | 0.169    |\n","| type        | training |\n","--------------------------\n","965\n","5 precision:  2.8\n","10 precision:  4.98\n","20 precision:  9.06\n","40 precision:  16.56\n","--------------------------\n","| 10precision | 4.98     |\n","| 10recall    | 0.0297   |\n","| 20precision | 9.06     |\n","| 20recall    | 0.0536   |\n","| 40precision | 16.6     |\n","| 40recall    | 0.0962   |\n","| 5precision  | 2.8      |\n","| 5recall     | 0.017    |\n","| epoch       | 965      |\n","| loss        | 0.192    |\n","| type        | training |\n","--------------------------\n","966\n","5 precision:  2.54\n","10 precision:  4.46\n","20 precision:  8.4\n","40 precision:  15.16\n","--------------------------\n","| 10precision | 4.46     |\n","| 10recall    | 0.0272   |\n","| 20precision | 8.4      |\n","| 20recall    | 0.051    |\n","| 40precision | 15.2     |\n","| 40recall    | 0.0925   |\n","| 5precision  | 2.54     |\n","| 5recall     | 0.0156   |\n","| epoch       | 966      |\n","| loss        | 0.1817   |\n","| type        | training |\n","--------------------------\n","967\n","5 precision:  2.6\n","10 precision:  4.96\n","20 precision:  9.5\n","40 precision:  16.66\n","--------------------------\n","| 10precision | 4.96     |\n","| 10recall    | 0.0282   |\n","| 20precision | 9.5      |\n","| 20recall    | 0.0534   |\n","| 40precision | 16.7     |\n","| 40recall    | 0.0919   |\n","| 5precision  | 2.6      |\n","| 5recall     | 0.0152   |\n","| epoch       | 967      |\n","| loss        | 0.1853   |\n","| type        | training |\n","--------------------------\n","968\n","5 precision:  3.14\n","10 precision:  5.4\n","20 precision:  10.16\n","40 precision:  17.68\n","--------------------------\n","| 10precision | 5.4      |\n","| 10recall    | 0.0334   |\n","| 20precision | 10.2     |\n","| 20recall    | 0.0613   |\n","| 40precision | 17.7     |\n","| 40recall    | 0.103    |\n","| 5precision  | 3.14     |\n","| 5recall     | 0.0196   |\n","| epoch       | 968      |\n","| loss        | 0.1688   |\n","| type        | training |\n","--------------------------\n","969\n","5 precision:  2.84\n","10 precision:  5.2\n","20 precision:  9.72\n","40 precision:  16.68\n","--------------------------\n","| 10precision | 5.2      |\n","| 10recall    | 0.0281   |\n","| 20precision | 9.72     |\n","| 20recall    | 0.0525   |\n","| 40precision | 16.7     |\n","| 40recall    | 0.0885   |\n","| 5precision  | 2.84     |\n","| 5recall     | 0.0153   |\n","| epoch       | 969      |\n","| loss        | 0.2065   |\n","| type        | training |\n","--------------------------\n","970\n","5 precision:  2.58\n","10 precision:  4.74\n","20 precision:  8.8\n","40 precision:  16.3\n","--------------------------\n","| 10precision | 4.74     |\n","| 10recall    | 0.029    |\n","| 20precision | 8.8      |\n","| 20recall    | 0.0536   |\n","| 40precision | 16.3     |\n","| 40recall    | 0.0976   |\n","| 5precision  | 2.58     |\n","| 5recall     | 0.0157   |\n","| epoch       | 970      |\n","| loss        | 0.1693   |\n","| type        | training |\n","--------------------------\n","971\n","5 precision:  2.56\n","10 precision:  4.72\n","20 precision:  8.66\n","40 precision:  15.3\n","--------------------------\n","| 10precision | 4.72     |\n","| 10recall    | 0.0314   |\n","| 20precision | 8.66     |\n","| 20recall    | 0.0577   |\n","| 40precision | 15.3     |\n","| 40recall    | 0.102    |\n","| 5precision  | 2.56     |\n","| 5recall     | 0.0174   |\n","| epoch       | 971      |\n","| loss        | 0.1899   |\n","| type        | training |\n","--------------------------\n","972\n","5 precision:  2.94\n","10 precision:  5.2\n","20 precision:  9.08\n","40 precision:  16.16\n","--------------------------\n","| 10precision | 5.2      |\n","| 10recall    | 0.0326   |\n","| 20precision | 9.08     |\n","| 20recall    | 0.0552   |\n","| 40precision | 16.2     |\n","| 40recall    | 0.0974   |\n","| 5precision  | 2.94     |\n","| 5recall     | 0.0186   |\n","| epoch       | 972      |\n","| loss        | 0.1929   |\n","| type        | training |\n","--------------------------\n","973\n","5 precision:  2.9\n","10 precision:  5.16\n","20 precision:  9.14\n","40 precision:  16.34\n","--------------------------\n","| 10precision | 5.16     |\n","| 10recall    | 0.0293   |\n","| 20precision | 9.14     |\n","| 20recall    | 0.0525   |\n","| 40precision | 16.3     |\n","| 40recall    | 0.0924   |\n","| 5precision  | 2.9      |\n","| 5recall     | 0.0169   |\n","| epoch       | 973      |\n","| loss        | 0.1863   |\n","| type        | training |\n","--------------------------\n","974\n","5 precision:  3.0\n","10 precision:  5.52\n","20 precision:  9.7\n","40 precision:  16.5\n","--------------------------\n","| 10precision | 5.52     |\n","| 10recall    | 0.034    |\n","| 20precision | 9.7      |\n","| 20recall    | 0.0579   |\n","| 40precision | 16.5     |\n","| 40recall    | 0.0957   |\n","| 5precision  | 3        |\n","| 5recall     | 0.0188   |\n","| epoch       | 974      |\n","| loss        | 0.1491   |\n","| type        | training |\n","--------------------------\n","975\n","5 precision:  2.8\n","10 precision:  4.84\n","20 precision:  8.6\n","40 precision:  15.86\n","--------------------------\n","| 10precision | 4.84     |\n","| 10recall    | 0.0285   |\n","| 20precision | 8.6      |\n","| 20recall    | 0.0506   |\n","| 40precision | 15.9     |\n","| 40recall    | 0.0931   |\n","| 5precision  | 2.8      |\n","| 5recall     | 0.0163   |\n","| epoch       | 975      |\n","| loss        | 0.1875   |\n","| type        | training |\n","--------------------------\n","976\n","5 precision:  2.7\n","10 precision:  4.88\n","20 precision:  8.62\n","40 precision:  14.7\n","--------------------------\n","| 10precision | 4.88     |\n","| 10recall    | 0.0277   |\n","| 20precision | 8.62     |\n","| 20recall    | 0.0481   |\n","| 40precision | 14.7     |\n","| 40recall    | 0.0823   |\n","| 5precision  | 2.7      |\n","| 5recall     | 0.0158   |\n","| epoch       | 976      |\n","| loss        | 0.1657   |\n","| type        | training |\n","--------------------------\n","977\n","5 precision:  2.7\n","10 precision:  5.04\n","20 precision:  9.36\n","40 precision:  16.5\n","--------------------------\n","| 10precision | 5.04     |\n","| 10recall    | 0.0278   |\n","| 20precision | 9.36     |\n","| 20recall    | 0.053    |\n","| 40precision | 16.5     |\n","| 40recall    | 0.092    |\n","| 5precision  | 2.7      |\n","| 5recall     | 0.0151   |\n","| epoch       | 977      |\n","| loss        | 0.2266   |\n","| type        | training |\n","--------------------------\n","978\n","5 precision:  3.0\n","10 precision:  5.3\n","20 precision:  9.38\n","40 precision:  16.98\n","--------------------------\n","| 10precision | 5.3      |\n","| 10recall    | 0.0318   |\n","| 20precision | 9.38     |\n","| 20recall    | 0.0563   |\n","| 40precision | 17       |\n","| 40recall    | 0.102    |\n","| 5precision  | 3        |\n","| 5recall     | 0.0181   |\n","| epoch       | 978      |\n","| loss        | 0.1616   |\n","| type        | training |\n","--------------------------\n","979\n","5 precision:  2.6\n","10 precision:  4.56\n","20 precision:  8.16\n","40 precision:  15.06\n","--------------------------\n","| 10precision | 4.56     |\n","| 10recall    | 0.0286   |\n","| 20precision | 8.16     |\n","| 20recall    | 0.0502   |\n","| 40precision | 15.1     |\n","| 40recall    | 0.0909   |\n","| 5precision  | 2.6      |\n","| 5recall     | 0.0164   |\n","| epoch       | 979      |\n","| loss        | 0.177    |\n","| type        | training |\n","--------------------------\n","980\n","5 precision:  2.72\n","10 precision:  4.96\n","20 precision:  8.74\n","40 precision:  15.7\n","--------------------------\n","| 10precision | 4.96     |\n","| 10recall    | 0.0269   |\n","| 20precision | 8.74     |\n","| 20recall    | 0.0461   |\n","| 40precision | 15.7     |\n","| 40recall    | 0.0817   |\n","| 5precision  | 2.72     |\n","| 5recall     | 0.0155   |\n","| epoch       | 980      |\n","| loss        | 0.1796   |\n","| type        | training |\n","--------------------------\n","981\n","5 precision:  2.8\n","10 precision:  5.32\n","20 precision:  9.68\n","40 precision:  17.76\n","--------------------------\n","| 10precision | 5.32     |\n","| 10recall    | 0.0286   |\n","| 20precision | 9.68     |\n","| 20recall    | 0.0514   |\n","| 40precision | 17.8     |\n","| 40recall    | 0.0931   |\n","| 5precision  | 2.8      |\n","| 5recall     | 0.0155   |\n","| epoch       | 981      |\n","| loss        | 0.1749   |\n","| type        | training |\n","--------------------------\n","982\n","5 precision:  2.44\n","10 precision:  4.62\n","20 precision:  8.66\n","40 precision:  15.74\n","--------------------------\n","| 10precision | 4.62     |\n","| 10recall    | 0.0283   |\n","| 20precision | 8.66     |\n","| 20recall    | 0.0528   |\n","| 40precision | 15.7     |\n","| 40recall    | 0.0949   |\n","| 5precision  | 2.44     |\n","| 5recall     | 0.0148   |\n","| epoch       | 982      |\n","| loss        | 0.1836   |\n","| type        | training |\n","--------------------------\n","983\n","5 precision:  2.46\n","10 precision:  4.9\n","20 precision:  8.74\n","40 precision:  15.12\n","--------------------------\n","| 10precision | 4.9      |\n","| 10recall    | 0.0317   |\n","| 20precision | 8.74     |\n","| 20recall    | 0.0558   |\n","| 40precision | 15.1     |\n","| 40recall    | 0.0948   |\n","| 5precision  | 2.46     |\n","| 5recall     | 0.0157   |\n","| epoch       | 983      |\n","| loss        | 0.1808   |\n","| type        | training |\n","--------------------------\n","984\n","5 precision:  2.58\n","10 precision:  4.82\n","20 precision:  8.62\n","40 precision:  16.06\n","--------------------------\n","| 10precision | 4.82     |\n","| 10recall    | 0.0317   |\n","| 20precision | 8.62     |\n","| 20recall    | 0.0543   |\n","| 40precision | 16.1     |\n","| 40recall    | 0.101    |\n","| 5precision  | 2.58     |\n","| 5recall     | 0.0173   |\n","| epoch       | 984      |\n","| loss        | 0.2161   |\n","| type        | training |\n","--------------------------\n","985\n","5 precision:  2.7\n","10 precision:  4.98\n","20 precision:  9.32\n","40 precision:  17.42\n","--------------------------\n","| 10precision | 4.98     |\n","| 10recall    | 0.0284   |\n","| 20precision | 9.32     |\n","| 20recall    | 0.0521   |\n","| 40precision | 17.4     |\n","| 40recall    | 0.0953   |\n","| 5precision  | 2.7      |\n","| 5recall     | 0.0157   |\n","| epoch       | 985      |\n","| loss        | 0.161    |\n","| type        | training |\n","--------------------------\n","986\n","5 precision:  2.52\n","10 precision:  4.44\n","20 precision:  8.3\n","40 precision:  15.14\n","--------------------------\n","| 10precision | 4.44     |\n","| 10recall    | 0.0272   |\n","| 20precision | 8.3      |\n","| 20recall    | 0.0507   |\n","| 40precision | 15.1     |\n","| 40recall    | 0.0911   |\n","| 5precision  | 2.52     |\n","| 5recall     | 0.0154   |\n","| epoch       | 986      |\n","| loss        | 0.202    |\n","| type        | training |\n","--------------------------\n","987\n","5 precision:  2.8\n","10 precision:  5.24\n","20 precision:  9.54\n","40 precision:  16.38\n","--------------------------\n","| 10precision | 5.24     |\n","| 10recall    | 0.0327   |\n","| 20precision | 9.54     |\n","| 20recall    | 0.0588   |\n","| 40precision | 16.4     |\n","| 40recall    | 0.098    |\n","| 5precision  | 2.8      |\n","| 5recall     | 0.0176   |\n","| epoch       | 987      |\n","| loss        | 0.168    |\n","| type        | training |\n","--------------------------\n","988\n","5 precision:  2.56\n","10 precision:  4.4\n","20 precision:  8.08\n","40 precision:  14.56\n","--------------------------\n","| 10precision | 4.4      |\n","| 10recall    | 0.0311   |\n","| 20precision | 8.08     |\n","| 20recall    | 0.0561   |\n","| 40precision | 14.6     |\n","| 40recall    | 0.1      |\n","| 5precision  | 2.56     |\n","| 5recall     | 0.0179   |\n","| epoch       | 988      |\n","| loss        | 0.1856   |\n","| type        | training |\n","--------------------------\n","989\n","5 precision:  2.58\n","10 precision:  5.38\n","20 precision:  9.64\n","40 precision:  17.1\n","--------------------------\n","| 10precision | 5.38     |\n","| 10recall    | 0.0318   |\n","| 20precision | 9.64     |\n","| 20recall    | 0.0562   |\n","| 40precision | 17.1     |\n","| 40recall    | 0.0987   |\n","| 5precision  | 2.58     |\n","| 5recall     | 0.0148   |\n","| epoch       | 989      |\n","| loss        | 0.178    |\n","| type        | training |\n","--------------------------\n","990\n","5 precision:  2.66\n","10 precision:  4.8\n","20 precision:  8.84\n","40 precision:  16.24\n","--------------------------\n","| 10precision | 4.8      |\n","| 10recall    | 0.0274   |\n","| 20precision | 8.84     |\n","| 20recall    | 0.0513   |\n","| 40precision | 16.2     |\n","| 40recall    | 0.0926   |\n","| 5precision  | 2.66     |\n","| 5recall     | 0.0156   |\n","| epoch       | 990      |\n","| loss        | 0.1806   |\n","| type        | training |\n","--------------------------\n","991\n","5 precision:  2.44\n","10 precision:  4.64\n","20 precision:  8.54\n","40 precision:  15.38\n","--------------------------\n","| 10precision | 4.64     |\n","| 10recall    | 0.0286   |\n","| 20precision | 8.54     |\n","| 20recall    | 0.0519   |\n","| 40precision | 15.4     |\n","| 40recall    | 0.0929   |\n","| 5precision  | 2.44     |\n","| 5recall     | 0.0145   |\n","| epoch       | 991      |\n","| loss        | 0.1894   |\n","| type        | training |\n","--------------------------\n","992\n","5 precision:  2.52\n","10 precision:  4.52\n","20 precision:  8.54\n","40 precision:  15.04\n","--------------------------\n","| 10precision | 4.52     |\n","| 10recall    | 0.0265   |\n","| 20precision | 8.54     |\n","| 20recall    | 0.0489   |\n","| 40precision | 15       |\n","| 40recall    | 0.0858   |\n","| 5precision  | 2.52     |\n","| 5recall     | 0.0148   |\n","| epoch       | 992      |\n","| loss        | 0.1685   |\n","| type        | training |\n","--------------------------\n","993\n","5 precision:  2.8\n","10 precision:  5.12\n","20 precision:  9.28\n","40 precision:  16.5\n","--------------------------\n","| 10precision | 5.12     |\n","| 10recall    | 0.0303   |\n","| 20precision | 9.28     |\n","| 20recall    | 0.0534   |\n","| 40precision | 16.5     |\n","| 40recall    | 0.093    |\n","| 5precision  | 2.8      |\n","| 5recall     | 0.0169   |\n","| epoch       | 993      |\n","| loss        | 0.2223   |\n","| type        | training |\n","--------------------------\n","994\n","5 precision:  2.8\n","10 precision:  5.06\n","20 precision:  8.9\n","40 precision:  15.48\n","--------------------------\n","| 10precision | 5.06     |\n","| 10recall    | 0.0338   |\n","| 20precision | 8.9      |\n","| 20recall    | 0.0581   |\n","| 40precision | 15.5     |\n","| 40recall    | 0.0982   |\n","| 5precision  | 2.8      |\n","| 5recall     | 0.0181   |\n","| epoch       | 994      |\n","| loss        | 0.173    |\n","| type        | training |\n","--------------------------\n","995\n","5 precision:  2.46\n","10 precision:  4.9\n","20 precision:  8.26\n","40 precision:  15.02\n","--------------------------\n","| 10precision | 4.9      |\n","| 10recall    | 0.0305   |\n","| 20precision | 8.26     |\n","| 20recall    | 0.0522   |\n","| 40precision | 15       |\n","| 40recall    | 0.0944   |\n","| 5precision  | 2.46     |\n","| 5recall     | 0.0155   |\n","| epoch       | 995      |\n","| loss        | 0.1721   |\n","| type        | training |\n","--------------------------\n","996\n","5 precision:  2.78\n","10 precision:  5.34\n","20 precision:  9.62\n","40 precision:  17.24\n","--------------------------\n","| 10precision | 5.34     |\n","| 10recall    | 0.0299   |\n","| 20precision | 9.62     |\n","| 20recall    | 0.0532   |\n","| 40precision | 17.2     |\n","| 40recall    | 0.0949   |\n","| 5precision  | 2.78     |\n","| 5recall     | 0.0157   |\n","| epoch       | 996      |\n","| loss        | 0.188    |\n","| type        | training |\n","--------------------------\n","997\n","5 precision:  2.6\n","10 precision:  5.0\n","20 precision:  9.02\n","40 precision:  17.12\n","--------------------------\n","| 10precision | 5        |\n","| 10recall    | 0.0291   |\n","| 20precision | 9.02     |\n","| 20recall    | 0.0511   |\n","| 40precision | 17.1     |\n","| 40recall    | 0.0952   |\n","| 5precision  | 2.6      |\n","| 5recall     | 0.0155   |\n","| epoch       | 997      |\n","| loss        | 0.1929   |\n","| type        | training |\n","--------------------------\n","998\n","5 precision:  2.5\n","10 precision:  4.74\n","20 precision:  8.88\n","40 precision:  16.3\n","--------------------------\n","| 10precision | 4.74     |\n","| 10recall    | 0.0252   |\n","| 20precision | 8.88     |\n","| 20recall    | 0.0479   |\n","| 40precision | 16.3     |\n","| 40recall    | 0.0858   |\n","| 5precision  | 2.5      |\n","| 5recall     | 0.0133   |\n","| epoch       | 998      |\n","| loss        | 0.1787   |\n","| type        | training |\n","--------------------------\n","999\n","5 precision:  2.84\n","10 precision:  5.3\n","20 precision:  9.3\n","40 precision:  16.48\n","--------------------------\n","| 10precision | 5.3      |\n","| 10recall    | 0.0324   |\n","| 20precision | 9.3      |\n","| 20recall    | 0.0566   |\n","| 40precision | 16.5     |\n","| 40recall    | 0.0992   |\n","| 5precision  | 2.84     |\n","| 5recall     | 0.0178   |\n","| epoch       | 999      |\n","| loss        | 0.1832   |\n","| type        | training |\n","--------------------------\n","1000\n","5 precision:  3.04\n","10 precision:  5.4\n","20 precision:  9.66\n","40 precision:  16.72\n","--------------------------\n","| 10precision | 5.4      |\n","| 10recall    | 0.0312   |\n","| 20precision | 9.66     |\n","| 20recall    | 0.0538   |\n","| 40precision | 16.7     |\n","| 40recall    | 0.0929   |\n","| 5precision  | 3.04     |\n","| 5recall     | 0.0177   |\n","| epoch       | 1e+03    |\n","| loss        | 0.1809   |\n","| type        | training |\n","--------------------------\n","5 precision:  3.5556\n","10 precision:  6.0556\n","20 precision:  11.5556\n","40 precision:  20.5\n","----------------------------\n","| 10precision | 6.06       |\n","| 10recall    | 0.0345     |\n","| 20precision | 11.6       |\n","| 20recall    | 0.0646     |\n","| 40precision | 20.5       |\n","| 40recall    | 0.112      |\n","| 5precision  | 3.56       |\n","| 5recall     | 0.0205     |\n","| epoch       | 1e+03      |\n","| type        | validation |\n","----------------------------\n","5 precision:  3.5526\n","10 precision:  6.1316\n","20 precision:  10.9211\n","40 precision:  18.0526\n","----------------------------\n","| 10precision | 6.13       |\n","| 10recall    | 0.0367     |\n","| 20precision | 10.9       |\n","| 20recall    | 0.0631     |\n","| 40precision | 18.1       |\n","| 40recall    | 0.103      |\n","| 5precision  | 3.55       |\n","| 5recall     | 0.0222     |\n","| epoch       | 1e+03      |\n","| type        | evaluation |\n","----------------------------\n","1001\n","5 precision:  2.52\n","10 precision:  4.7\n","20 precision:  8.62\n","40 precision:  15.64\n","--------------------------\n","| 10precision | 4.7      |\n","| 10recall    | 0.0293   |\n","| 20precision | 8.62     |\n","| 20recall    | 0.0521   |\n","| 40precision | 15.6     |\n","| 40recall    | 0.0907   |\n","| 5precision  | 2.52     |\n","| 5recall     | 0.0147   |\n","| epoch       | 1e+03    |\n","| loss        | 0.1702   |\n","| type        | training |\n","--------------------------\n","1002\n","5 precision:  2.54\n","10 precision:  4.86\n","20 precision:  8.38\n","40 precision:  15.34\n","--------------------------\n","| 10precision | 4.86     |\n","| 10recall    | 0.0301   |\n","| 20precision | 8.38     |\n","| 20recall    | 0.0515   |\n","| 40precision | 15.3     |\n","| 40recall    | 0.0921   |\n","| 5precision  | 2.54     |\n","| 5recall     | 0.0159   |\n","| epoch       | 1e+03    |\n","| loss        | 0.1782   |\n","| type        | training |\n","--------------------------\n","1003\n","5 precision:  2.74\n","10 precision:  4.68\n","20 precision:  8.48\n","40 precision:  15.68\n","--------------------------\n","| 10precision | 4.68     |\n","| 10recall    | 0.0271   |\n","| 20precision | 8.48     |\n","| 20recall    | 0.0479   |\n","| 40precision | 15.7     |\n","| 40recall    | 0.0894   |\n","| 5precision  | 2.74     |\n","| 5recall     | 0.0164   |\n","| epoch       | 1e+03    |\n","| loss        | 0.1585   |\n","| type        | training |\n","--------------------------\n","1004\n","5 precision:  2.52\n","10 precision:  4.74\n","20 precision:  8.72\n","40 precision:  15.44\n","--------------------------\n","| 10precision | 4.74     |\n","| 10recall    | 0.0269   |\n","| 20precision | 8.72     |\n","| 20recall    | 0.0493   |\n","| 40precision | 15.4     |\n","| 40recall    | 0.086    |\n","| 5precision  | 2.52     |\n","| 5recall     | 0.0145   |\n","| epoch       | 1e+03    |\n","| loss        | 0.175    |\n","| type        | training |\n","--------------------------\n","1005\n","5 precision:  2.8\n","10 precision:  5.34\n","20 precision:  9.38\n","40 precision:  16.66\n","--------------------------\n","| 10precision | 5.34     |\n","| 10recall    | 0.0331   |\n","| 20precision | 9.38     |\n","| 20recall    | 0.0573   |\n","| 40precision | 16.7     |\n","| 40recall    | 0.1      |\n","| 5precision  | 2.8      |\n","| 5recall     | 0.0173   |\n","| epoch       | 1.00e+03 |\n","| loss        | 0.1704   |\n","| type        | training |\n","--------------------------\n","1006\n","5 precision:  2.6\n","10 precision:  4.78\n","20 precision:  8.8\n","40 precision:  15.8\n","--------------------------\n","| 10precision | 4.78     |\n","| 10recall    | 0.0297   |\n","| 20precision | 8.8      |\n","| 20recall    | 0.053    |\n","| 40precision | 15.8     |\n","| 40recall    | 0.0941   |\n","| 5precision  | 2.6      |\n","| 5recall     | 0.0165   |\n","| epoch       | 1.01e+03 |\n","| loss        | 0.1794   |\n","| type        | training |\n","--------------------------\n","1007\n","5 precision:  2.76\n","10 precision:  5.0\n","20 precision:  8.28\n","40 precision:  15.02\n","--------------------------\n","| 10precision | 5        |\n","| 10recall    | 0.0338   |\n","| 20precision | 8.28     |\n","| 20recall    | 0.0557   |\n","| 40precision | 15       |\n","| 40recall    | 0.0997   |\n","| 5precision  | 2.76     |\n","| 5recall     | 0.0188   |\n","| epoch       | 1.01e+03 |\n","| loss        | 0.1754   |\n","| type        | training |\n","--------------------------\n","1008\n","5 precision:  2.64\n","10 precision:  4.94\n","20 precision:  9.36\n","40 precision:  16.7\n","--------------------------\n","| 10precision | 4.94     |\n","| 10recall    | 0.0292   |\n","| 20precision | 9.36     |\n","| 20recall    | 0.0552   |\n","| 40precision | 16.7     |\n","| 40recall    | 0.0951   |\n","| 5precision  | 2.64     |\n","| 5recall     | 0.0153   |\n","| epoch       | 1.01e+03 |\n","| loss        | 0.1752   |\n","| type        | training |\n","--------------------------\n","1009\n","5 precision:  3.0\n","10 precision:  5.46\n","20 precision:  9.54\n","40 precision:  17.38\n","--------------------------\n","| 10precision | 5.46     |\n","| 10recall    | 0.0298   |\n","| 20precision | 9.54     |\n","| 20recall    | 0.0504   |\n","| 40precision | 17.4     |\n","| 40recall    | 0.091    |\n","| 5precision  | 3        |\n","| 5recall     | 0.0162   |\n","| epoch       | 1.01e+03 |\n","| loss        | 0.166    |\n","| type        | training |\n","--------------------------\n","1010\n","5 precision:  2.38\n","10 precision:  4.86\n","20 precision:  8.4\n","40 precision:  15.48\n","--------------------------\n","| 10precision | 4.86     |\n","| 10recall    | 0.0296   |\n","| 20precision | 8.4      |\n","| 20recall    | 0.0509   |\n","| 40precision | 15.5     |\n","| 40recall    | 0.0935   |\n","| 5precision  | 2.38     |\n","| 5recall     | 0.0146   |\n","| epoch       | 1.01e+03 |\n","| loss        | 0.1868   |\n","| type        | training |\n","--------------------------\n","1011\n","5 precision:  2.9\n","10 precision:  5.3\n","20 precision:  9.38\n","40 precision:  16.76\n","--------------------------\n","| 10precision | 5.3      |\n","| 10recall    | 0.0336   |\n","| 20precision | 9.38     |\n","| 20recall    | 0.0572   |\n","| 40precision | 16.8     |\n","| 40recall    | 0.101    |\n","| 5precision  | 2.9      |\n","| 5recall     | 0.0192   |\n","| epoch       | 1.01e+03 |\n","| loss        | 0.1915   |\n","| type        | training |\n","--------------------------\n","1012\n","5 precision:  2.84\n","10 precision:  5.16\n","20 precision:  9.46\n","40 precision:  16.74\n","--------------------------\n","| 10precision | 5.16     |\n","| 10recall    | 0.0322   |\n","| 20precision | 9.46     |\n","| 20recall    | 0.0581   |\n","| 40precision | 16.7     |\n","| 40recall    | 0.0996   |\n","| 5precision  | 2.84     |\n","| 5recall     | 0.0178   |\n","| epoch       | 1.01e+03 |\n","| loss        | 0.2022   |\n","| type        | training |\n","--------------------------\n","1013\n","5 precision:  2.68\n","10 precision:  4.86\n","20 precision:  8.5\n","40 precision:  15.44\n","--------------------------\n","| 10precision | 4.86     |\n","| 10recall    | 0.0268   |\n","| 20precision | 8.5      |\n","| 20recall    | 0.0455   |\n","| 40precision | 15.4     |\n","| 40recall    | 0.0813   |\n","| 5precision  | 2.68     |\n","| 5recall     | 0.0144   |\n","| epoch       | 1.01e+03 |\n","| loss        | 0.1692   |\n","| type        | training |\n","--------------------------\n","1014\n","5 precision:  2.58\n","10 precision:  5.02\n","20 precision:  9.0\n","40 precision:  15.94\n","--------------------------\n","| 10precision | 5.02     |\n","| 10recall    | 0.0308   |\n","| 20precision | 9        |\n","| 20recall    | 0.0539   |\n","| 40precision | 15.9     |\n","| 40recall    | 0.0914   |\n","| 5precision  | 2.58     |\n","| 5recall     | 0.0163   |\n","| epoch       | 1.01e+03 |\n","| loss        | 0.1685   |\n","| type        | training |\n","--------------------------\n","1015\n","5 precision:  2.72\n","10 precision:  4.94\n","20 precision:  8.68\n","40 precision:  15.18\n","--------------------------\n","| 10precision | 4.94     |\n","| 10recall    | 0.0338   |\n","| 20precision | 8.68     |\n","| 20recall    | 0.0572   |\n","| 40precision | 15.2     |\n","| 40recall    | 0.0959   |\n","| 5precision  | 2.72     |\n","| 5recall     | 0.0184   |\n","| epoch       | 1.02e+03 |\n","| loss        | 0.2037   |\n","| type        | training |\n","--------------------------\n","1016\n","5 precision:  2.66\n","10 precision:  4.78\n","20 precision:  9.02\n","40 precision:  15.14\n","--------------------------\n","| 10precision | 4.78     |\n","| 10recall    | 0.0277   |\n","| 20precision | 9.02     |\n","| 20recall    | 0.0507   |\n","| 40precision | 15.1     |\n","| 40recall    | 0.0842   |\n","| 5precision  | 2.66     |\n","| 5recall     | 0.0159   |\n","| epoch       | 1.02e+03 |\n","| loss        | 0.1821   |\n","| type        | training |\n","--------------------------\n","1017\n","5 precision:  2.74\n","10 precision:  5.14\n","20 precision:  9.1\n","40 precision:  16.12\n","--------------------------\n","| 10precision | 5.14     |\n","| 10recall    | 0.0304   |\n","| 20precision | 9.1      |\n","| 20recall    | 0.0526   |\n","| 40precision | 16.1     |\n","| 40recall    | 0.0924   |\n","| 5precision  | 2.74     |\n","| 5recall     | 0.0167   |\n","| epoch       | 1.02e+03 |\n","| loss        | 0.213    |\n","| type        | training |\n","--------------------------\n","1018\n","5 precision:  2.68\n","10 precision:  4.82\n","20 precision:  8.44\n","40 precision:  15.68\n","--------------------------\n","| 10precision | 4.82     |\n","| 10recall    | 0.0316   |\n","| 20precision | 8.44     |\n","| 20recall    | 0.0549   |\n","| 40precision | 15.7     |\n","| 40recall    | 0.0994   |\n","| 5precision  | 2.68     |\n","| 5recall     | 0.0176   |\n","| epoch       | 1.02e+03 |\n","| loss        | 0.1976   |\n","| type        | training |\n","--------------------------\n","1019\n","5 precision:  2.92\n","10 precision:  5.48\n","20 precision:  9.7\n","40 precision:  16.56\n","--------------------------\n","| 10precision | 5.48     |\n","| 10recall    | 0.0318   |\n","| 20precision | 9.7      |\n","| 20recall    | 0.0553   |\n","| 40precision | 16.6     |\n","| 40recall    | 0.0931   |\n","| 5precision  | 2.92     |\n","| 5recall     | 0.0174   |\n","| epoch       | 1.02e+03 |\n","| loss        | 0.1908   |\n","| type        | training |\n","--------------------------\n","1020\n","5 precision:  2.68\n","10 precision:  4.8\n","20 precision:  8.52\n","40 precision:  14.9\n","--------------------------\n","| 10precision | 4.8      |\n","| 10recall    | 0.0321   |\n","| 20precision | 8.52     |\n","| 20recall    | 0.0558   |\n","| 40precision | 14.9     |\n","| 40recall    | 0.0988   |\n","| 5precision  | 2.68     |\n","| 5recall     | 0.0187   |\n","| epoch       | 1.02e+03 |\n","| loss        | 0.1706   |\n","| type        | training |\n","--------------------------\n","1021\n","5 precision:  2.56\n","10 precision:  4.96\n","20 precision:  8.82\n","40 precision:  15.38\n","--------------------------\n","| 10precision | 4.96     |\n","| 10recall    | 0.032    |\n","| 20precision | 8.82     |\n","| 20recall    | 0.055    |\n","| 40precision | 15.4     |\n","| 40recall    | 0.0936   |\n","| 5precision  | 2.56     |\n","| 5recall     | 0.0162   |\n","| epoch       | 1.02e+03 |\n","| loss        | 0.2      |\n","| type        | training |\n","--------------------------\n","1022\n","5 precision:  2.74\n","10 precision:  5.22\n","20 precision:  9.22\n","40 precision:  15.98\n","--------------------------\n","| 10precision | 5.22     |\n","| 10recall    | 0.0366   |\n","| 20precision | 9.22     |\n","| 20recall    | 0.0631   |\n","| 40precision | 16       |\n","| 40recall    | 0.106    |\n","| 5precision  | 2.74     |\n","| 5recall     | 0.0195   |\n","| epoch       | 1.02e+03 |\n","| loss        | 0.1706   |\n","| type        | training |\n","--------------------------\n","1023\n","5 precision:  2.46\n","10 precision:  4.8\n","20 precision:  8.72\n","40 precision:  15.46\n","--------------------------\n","| 10precision | 4.8      |\n","| 10recall    | 0.0301   |\n","| 20precision | 8.72     |\n","| 20recall    | 0.0526   |\n","| 40precision | 15.5     |\n","| 40recall    | 0.0919   |\n","| 5precision  | 2.46     |\n","| 5recall     | 0.0156   |\n","| epoch       | 1.02e+03 |\n","| loss        | 0.2011   |\n","| type        | training |\n","--------------------------\n","1024\n","5 precision:  2.72\n","10 precision:  5.12\n","20 precision:  9.02\n","40 precision:  15.9\n","--------------------------\n","| 10precision | 5.12     |\n","| 10recall    | 0.0303   |\n","| 20precision | 9.02     |\n","| 20recall    | 0.0525   |\n","| 40precision | 15.9     |\n","| 40recall    | 0.0922   |\n","| 5precision  | 2.72     |\n","| 5recall     | 0.0159   |\n","| epoch       | 1.02e+03 |\n","| loss        | 0.2031   |\n","| type        | training |\n","--------------------------\n","1025\n","5 precision:  2.52\n","10 precision:  4.62\n","20 precision:  8.36\n","40 precision:  15.44\n","--------------------------\n","| 10precision | 4.62     |\n","| 10recall    | 0.0305   |\n","| 20precision | 8.36     |\n","| 20recall    | 0.0542   |\n","| 40precision | 15.4     |\n","| 40recall    | 0.0976   |\n","| 5precision  | 2.52     |\n","| 5recall     | 0.0171   |\n","| epoch       | 1.02e+03 |\n","| loss        | 0.1721   |\n","| type        | training |\n","--------------------------\n","1026\n","5 precision:  2.9\n","10 precision:  5.04\n","20 precision:  9.42\n","40 precision:  17.16\n","--------------------------\n","| 10precision | 5.04     |\n","| 10recall    | 0.0299   |\n","| 20precision | 9.42     |\n","| 20recall    | 0.0548   |\n","| 40precision | 17.2     |\n","| 40recall    | 0.0983   |\n","| 5precision  | 2.9      |\n","| 5recall     | 0.0176   |\n","| epoch       | 1.03e+03 |\n","| loss        | 0.1729   |\n","| type        | training |\n","--------------------------\n","1027\n","5 precision:  2.82\n","10 precision:  5.06\n","20 precision:  9.24\n","40 precision:  16.4\n","--------------------------\n","| 10precision | 5.06     |\n","| 10recall    | 0.0311   |\n","| 20precision | 9.24     |\n","| 20recall    | 0.0559   |\n","| 40precision | 16.4     |\n","| 40recall    | 0.097    |\n","| 5precision  | 2.82     |\n","| 5recall     | 0.0173   |\n","| epoch       | 1.03e+03 |\n","| loss        | 0.1751   |\n","| type        | training |\n","--------------------------\n","1028\n","5 precision:  2.8\n","10 precision:  4.92\n","20 precision:  9.18\n","40 precision:  15.82\n","--------------------------\n","| 10precision | 4.92     |\n","| 10recall    | 0.029    |\n","| 20precision | 9.18     |\n","| 20recall    | 0.0531   |\n","| 40precision | 15.8     |\n","| 40recall    | 0.0897   |\n","| 5precision  | 2.8      |\n","| 5recall     | 0.0173   |\n","| epoch       | 1.03e+03 |\n","| loss        | 0.1816   |\n","| type        | training |\n","--------------------------\n","1029\n","5 precision:  2.62\n","10 precision:  4.22\n","20 precision:  7.92\n","40 precision:  14.28\n","--------------------------\n","| 10precision | 4.22     |\n","| 10recall    | 0.0284   |\n","| 20precision | 7.92     |\n","| 20recall    | 0.0538   |\n","| 40precision | 14.3     |\n","| 40recall    | 0.0963   |\n","| 5precision  | 2.62     |\n","| 5recall     | 0.0181   |\n","| epoch       | 1.03e+03 |\n","| loss        | 0.1753   |\n","| type        | training |\n","--------------------------\n","1030\n","5 precision:  2.66\n","10 precision:  5.14\n","20 precision:  9.38\n","40 precision:  16.42\n","--------------------------\n","| 10precision | 5.14     |\n","| 10recall    | 0.0302   |\n","| 20precision | 9.38     |\n","| 20recall    | 0.0538   |\n","| 40precision | 16.4     |\n","| 40recall    | 0.0919   |\n","| 5precision  | 2.66     |\n","| 5recall     | 0.0159   |\n","| epoch       | 1.03e+03 |\n","| loss        | 0.1814   |\n","| type        | training |\n","--------------------------\n","1031\n","5 precision:  2.84\n","10 precision:  5.32\n","20 precision:  9.72\n","40 precision:  17.34\n","--------------------------\n","| 10precision | 5.32     |\n","| 10recall    | 0.031    |\n","| 20precision | 9.72     |\n","| 20recall    | 0.0548   |\n","| 40precision | 17.3     |\n","| 40recall    | 0.0942   |\n","| 5precision  | 2.84     |\n","| 5recall     | 0.0169   |\n","| epoch       | 1.03e+03 |\n","| loss        | 0.1907   |\n","| type        | training |\n","--------------------------\n","1032\n","5 precision:  2.98\n","10 precision:  5.06\n","20 precision:  9.16\n","40 precision:  16.8\n","--------------------------\n","| 10precision | 5.06     |\n","| 10recall    | 0.0281   |\n","| 20precision | 9.16     |\n","| 20recall    | 0.0503   |\n","| 40precision | 16.8     |\n","| 40recall    | 0.09     |\n","| 5precision  | 2.98     |\n","| 5recall     | 0.0164   |\n","| epoch       | 1.03e+03 |\n","| loss        | 0.194    |\n","| type        | training |\n","--------------------------\n","1033\n"]}]}]}