epoch,step,train/loss 0,49,0.3044738471508026 0,99,0.1321030706167221 0,149,0.131418377161026 0,199,0.08778580278158188 0,249,0.11085151880979538 0,299,0.08441083878278732 0,349,0.11005197465419769 0,399,0.12045197188854218 0,449,0.1517149955034256 0,499,0.10657292604446411 0,549,0.07485067844390869 0,599,0.1338549256324768 0,649,0.08832631260156631 0,699,0.05550143122673035 0,749,0.12503783404827118 0,799,0.07866775244474411 0,849,0.08570891618728638 0,899,0.13024736940860748 0,949,0.07322167605161667 0,999,0.046466585248708725 0,1049,0.06862372159957886 0,1099,0.06800242513418198 0,1149,0.09252290427684784 0,1199,0.0635395422577858 0,1249,0.08877093344926834 0,1299,0.07266733050346375 0,1349,0.08638094365596771 0,1399,0.09912335127592087 0,1449,0.06653137505054474 0,1499,0.0732843354344368 0,1549,0.03930661454796791 0,1599,0.07188363373279572 0,1649,0.07198311388492584 0,1699,0.06686088442802429 0,1749,0.07007855921983719 0,1799,0.09900356829166412 0,1849,0.054537951946258545 0,1899,0.07712362706661224 0,1949,0.04651574417948723 0,1999,0.08245712518692017 0,2049,0.04866938292980194 0,2099,0.05436789244413376 0,2149,0.044440317898988724 0,2199,0.06460847705602646 0,2249,0.062325771898031235 0,2299,0.05178378149867058 0,2349,0.09560723602771759 0,2399,0.028149764984846115 0,2449,0.0954950600862503 0,2499,0.06008264794945717 0,2549,0.06842152774333954 0,2599,0.10866636037826538 0,2649,0.05634521692991257 0,2699,0.0974171832203865 0,2749,0.045785967260599136 0,2799,0.07947421073913574 0,2849,0.06669183075428009 0,2899,0.06217997893691063 0,2949,0.10222595185041428 0,2999,0.04608540236949921 0,3049,0.050849057734012604 0,3099,0.047211434692144394 0,3149,0.06714670360088348 0,3199,0.048836465924978256 0,3249,0.05557256191968918 0,3299,0.09093275666236877 0,3349,0.0821169838309288 0,3399,0.08387669175863266 0,3449,0.03461052104830742 0,3499,0.07627000659704208 0,3549,0.057755134999752045 0,3599,0.04885154962539673 0,3649,0.09881976991891861 0,3699,0.06748814135789871 0,3749,0.07486310601234436 0,3799,0.039135392755270004 0,3849,0.05795295163989067 0,3899,0.08104802668094635 0,3949,0.04892431199550629 0,3999,0.0727185308933258 0,4049,0.09352948516607285 0,4099,0.061812032014131546 0,4149,0.04475201666355133 0,4199,0.059041813015937805 0,4249,0.08262293040752411 0,4299,0.045667070895433426 0,4349,0.039714884012937546 0,4399,0.046148523688316345 0,4449,0.07134730368852615 0,4499,0.06597393751144409 0,4549,0.029403429478406906 0,4599,0.03319093957543373 0,4649,0.053259219974279404 0,4699,0.05024680122733116 0,4749,0.033134281635284424 0,4799,0.03548995405435562 0,4849,0.04303521662950516 0,4899,0.06355908513069153 0,4949,0.05887874588370323 0,4999,0.04545704647898674 0,5049,0.06660633534193039 0,5099,0.04275035858154297 0,5149,0.06236023083329201 0,5199,0.09764938801527023 0,5249,0.0774131640791893 0,5299,0.037676986306905746 0,5349,0.05218520760536194 0,5399,0.044219426810741425 0,5449,0.0422075130045414 0,5499,0.06347553431987762 0,5549,0.03600168973207474 0,5599,0.04549884796142578 0,5649,0.10718879848718643 0,5699,0.06113314628601074 0,5749,0.04619878903031349 0,5799,0.028358619660139084 0,5849,0.030786314979195595 0,5899,0.05617142468690872 0,5949,0.03632660582661629 0,5999,0.05455312132835388 0,6049,0.03487268090248108 0,6099,0.05922083556652069 0,6149,0.03525032848119736 0,6199,0.05017508193850517 0,6249,0.0380684994161129 0,6299,0.06247427687048912 0,6349,0.040918655693531036 0,6399,0.05557417869567871 0,6449,0.045930489897727966 0,6499,0.047746993601322174 0,6549,0.04074391722679138 0,6599,0.042948730289936066 0,6649,0.051279108971357346 0,6699,0.027188947424292564 0,6749,0.038762908428907394 0,6799,0.05429384484887123 0,6849,0.06086752563714981 0,6899,0.04060589522123337 0,6949,0.044389981776475906 0,6999,0.03273700922727585 0,7049,0.06259655207395554 0,7099,0.038604654371738434 0,7149,0.03889022767543793 0,7199,0.04844513162970543 0,7249,0.09587529301643372 0,7299,0.03792611509561539 0,7349,0.03720291331410408 0,7399,0.03926118463277817 0,7449,0.0685337632894516 0,7499,0.03178791701793671 0,7549,0.07817874103784561 0,7599,0.032059621065855026 0,7649,0.06911014765501022 0,7699,0.03131614997982979 0,7749,0.054375726729631424 0,7799,0.05931345745921135 0,7849,0.03318385034799576 0,7899,0.05703282728791237 0,7949,0.03399991616606712 0,7999,0.03285391628742218 0,8049,0.03929475322365761 0,8099,0.055833399295806885 0,8149,0.0498274490237236 0,8199,0.04890478774905205 0,8249,0.032829537987709045 0,8299,0.03367050737142563 0,8349,0.03468069061636925 0,8399,0.06738920509815216 0,8449,0.047626979649066925 0,8499,0.043013330549001694 0,8549,0.05255134031176567 0,8599,0.03001856617629528 0,8649,0.04314892366528511 0,8699,0.023023294284939766 0,8749,0.057429250329732895 0,8799,0.03348748758435249 0,8849,0.020253309980034828 0,8899,0.048020973801612854 0,8949,0.03900192305445671 0,8999,0.05299708619713783 0,9049,0.040494196116924286 0,9099,0.03200270235538483 0,9149,0.04399719461798668 0,9199,0.06178877502679825 0,9249,0.053210362792015076 0,9299,0.05673562362790108 0,9349,0.03974604979157448 0,9399,0.04240075498819351 0,9449,0.038629841059446335 0,9499,0.022594314068555832 0,9549,0.053252577781677246 0,9599,0.05015082284808159 0,9649,0.06555256247520447 0,9699,0.029847657307982445 0,9749,0.040066055953502655 0,9799,0.029300080612301826 0,9849,0.03180002421140671 0,9899,0.058286719024181366 0,9949,0.0468529537320137 0,9999,0.03879926726222038