Team Ai
Modelpublic

SushantGautam/CodeGeneration

sourceHugging Facemitupdated 4y agoView on Hugging Face
0likes100downloads
trainer_state.json26366 linesDownload Raw Back to root
1{2  "best_metric": null,3  "best_model_checkpoint": null,4  "epoch": 10.0,5  "global_step": 4390,6  "is_hyper_param_search": false,7  "is_local_process_zero": true,8  "is_world_process_zero": true,9  "log_history": [10    {11      "epoch": 0.0,12      "learning_rate": 4.998861047835991e-05,13      "loss": 11.7092,14      "step": 115    },16    {17      "epoch": 0.0,18      "learning_rate": 4.9977220956719826e-05,19      "loss": 9.6548,20      "step": 221    },22    {23      "epoch": 0.01,24      "learning_rate": 4.996583143507973e-05,25      "loss": 8.4051,26      "step": 327    },28    {29      "epoch": 0.01,30      "learning_rate": 4.9954441913439635e-05,31      "loss": 9.5686,32      "step": 433    },34    {35      "epoch": 0.01,36      "learning_rate": 4.9943052391799543e-05,37      "loss": 8.9303,38      "step": 539    },40    {41      "epoch": 0.01,42      "learning_rate": 4.993166287015946e-05,43      "loss": 7.7487,44      "step": 645    },46    {47      "epoch": 0.02,48      "learning_rate": 4.992027334851937e-05,49      "loss": 6.5083,50      "step": 751    },52    {53      "epoch": 0.02,54      "learning_rate": 4.990888382687927e-05,55      "loss": 8.1923,56      "step": 857    },58    {59      "epoch": 0.02,60      "learning_rate": 4.989749430523918e-05,61      "loss": 8.0454,62      "step": 963    },64    {65      "epoch": 0.02,66      "learning_rate": 4.988610478359909e-05,67      "loss": 7.6701,68      "step": 1069    },70    {71      "epoch": 0.03,72      "learning_rate": 4.9874715261959e-05,73      "loss": 7.1795,74      "step": 1175    },76    {77      "epoch": 0.03,78      "learning_rate": 4.9863325740318914e-05,79      "loss": 7.6715,80      "step": 1281    },82    {83      "epoch": 0.03,84      "learning_rate": 4.9851936218678816e-05,85      "loss": 7.9991,86      "step": 1387    },88    {89      "epoch": 0.03,90      "learning_rate": 4.9840546697038724e-05,91      "loss": 6.5221,92      "step": 1493    },94    {95      "epoch": 0.03,96      "learning_rate": 4.982915717539863e-05,97      "loss": 7.3411,98      "step": 1599    },100    {101      "epoch": 0.04,102      "learning_rate": 4.981776765375855e-05,103      "loss": 5.8229,104      "step": 16105    },106    {107      "epoch": 0.04,108      "learning_rate": 4.9806378132118455e-05,109      "loss": 6.8379,110      "step": 17111    },112    {113      "epoch": 0.04,114      "learning_rate": 4.9794988610478364e-05,115      "loss": 7.0664,116      "step": 18117    },118    {119      "epoch": 0.04,120      "learning_rate": 4.978359908883827e-05,121      "loss": 7.0716,122      "step": 19123    },124    {125      "epoch": 0.05,126      "learning_rate": 4.977220956719818e-05,127      "loss": 8.7517,128      "step": 20129    },130    {131      "epoch": 0.05,132      "learning_rate": 4.976082004555809e-05,133      "loss": 6.6135,134      "step": 21135    },136    {137      "epoch": 0.05,138      "learning_rate": 4.9749430523918e-05,139      "loss": 6.1742,140      "step": 22141    },142    {143      "epoch": 0.05,144      "learning_rate": 4.9738041002277905e-05,145      "loss": 8.0588,146      "step": 23147    },148    {149      "epoch": 0.05,150      "learning_rate": 4.972665148063781e-05,151      "loss": 7.9152,152      "step": 24153    },154    {155      "epoch": 0.06,156      "learning_rate": 4.971526195899772e-05,157      "loss": 5.1515,158      "step": 25159    },160    {161      "epoch": 0.06,162      "learning_rate": 4.9703872437357636e-05,163      "loss": 5.6302,164      "step": 26165    },166    {167      "epoch": 0.06,168      "learning_rate": 4.9692482915717544e-05,169      "loss": 9.6288,170      "step": 27171    },172    {173      "epoch": 0.06,174      "learning_rate": 4.968109339407745e-05,175      "loss": 5.228,176      "step": 28177    },178    {179      "epoch": 0.07,180      "learning_rate": 4.966970387243736e-05,181      "loss": 6.7267,182      "step": 29183    },184    {185      "epoch": 0.07,186      "learning_rate": 4.965831435079727e-05,187      "loss": 5.9025,188      "step": 30189    },190    {191      "epoch": 0.07,192      "learning_rate": 4.964692482915718e-05,193      "loss": 6.6566,194      "step": 31195    },196    {197      "epoch": 0.07,198      "learning_rate": 4.963553530751709e-05,199      "loss": 6.449,200      "step": 32201    },202    {203      "epoch": 0.08,204      "learning_rate": 4.9624145785876994e-05,205      "loss": 5.6756,206      "step": 33207    },208    {209      "epoch": 0.08,210      "learning_rate": 4.96127562642369e-05,211      "loss": 6.2954,212      "step": 34213    },214    {215      "epoch": 0.08,216      "learning_rate": 4.960136674259681e-05,217      "loss": 6.7187,218      "step": 35219    },220    {221      "epoch": 0.08,222      "learning_rate": 4.9589977220956725e-05,223      "loss": 7.1454,224      "step": 36225    },226    {227      "epoch": 0.08,228      "learning_rate": 4.957858769931663e-05,229      "loss": 5.7555,230      "step": 37231    },232    {233      "epoch": 0.09,234      "learning_rate": 4.956719817767654e-05,235      "loss": 6.1015,236      "step": 38237    },238    {239      "epoch": 0.09,240      "learning_rate": 4.955580865603645e-05,241      "loss": 6.5185,242      "step": 39243    },244    {245      "epoch": 0.09,246      "learning_rate": 4.954441913439636e-05,247      "loss": 4.8291,248      "step": 40249    },250    {251      "epoch": 0.09,252      "learning_rate": 4.9533029612756266e-05,253      "loss": 5.2706,254      "step": 41255    },256    {257      "epoch": 0.1,258      "learning_rate": 4.952164009111618e-05,259      "loss": 7.173,260      "step": 42261    },262    {263      "epoch": 0.1,264      "learning_rate": 4.951025056947608e-05,265      "loss": 8.1812,266      "step": 43267    },268    {269      "epoch": 0.1,270      "learning_rate": 4.949886104783599e-05,271      "loss": 7.6324,272      "step": 44273    },274    {275      "epoch": 0.1,276      "learning_rate": 4.94874715261959e-05,277      "loss": 7.6471,278      "step": 45279    },280    {281      "epoch": 0.1,282      "learning_rate": 4.9476082004555814e-05,283      "loss": 6.6633,284      "step": 46285    },286    {287      "epoch": 0.11,288      "learning_rate": 4.946469248291572e-05,289      "loss": 6.1763,290      "step": 47291    },292    {293      "epoch": 0.11,294      "learning_rate": 4.945330296127563e-05,295      "loss": 4.8749,296      "step": 48297    },298    {299      "epoch": 0.11,300      "learning_rate": 4.944191343963554e-05,301      "loss": 7.3018,302      "step": 49303    },304    {305      "epoch": 0.11,306      "learning_rate": 4.9430523917995447e-05,307      "loss": 6.4854,308      "step": 50309    },310    {311      "epoch": 0.12,312      "learning_rate": 4.9419134396355355e-05,313      "loss": 5.4195,314      "step": 51315    },316    {317      "epoch": 0.12,318      "learning_rate": 4.940774487471526e-05,319      "loss": 6.822,320      "step": 52321    },322    {323      "epoch": 0.12,324      "learning_rate": 4.939635535307517e-05,325      "loss": 7.2982,326      "step": 53327    },328    {329      "epoch": 0.12,330      "learning_rate": 4.938496583143508e-05,331      "loss": 6.6605,332      "step": 54333    },334    {335      "epoch": 0.13,336      "learning_rate": 4.937357630979499e-05,337      "loss": 4.8833,338      "step": 55339    },340    {341      "epoch": 0.13,342      "learning_rate": 4.93621867881549e-05,343      "loss": 6.4155,344      "step": 56345    },346    {347      "epoch": 0.13,348      "learning_rate": 4.935079726651481e-05,349      "loss": 4.1882,350      "step": 57351    },352    {353      "epoch": 0.13,354      "learning_rate": 4.933940774487472e-05,355      "loss": 6.7254,356      "step": 58357    },358    {359      "epoch": 0.13,360      "learning_rate": 4.932801822323463e-05,361      "loss": 6.5771,362      "step": 59363    },364    {365      "epoch": 0.14,366      "learning_rate": 4.9316628701594535e-05,367      "loss": 5.0929,368      "step": 60369    },370    {371      "epoch": 0.14,372      "learning_rate": 4.9305239179954444e-05,373      "loss": 8.5807,374      "step": 61375    },376    {377      "epoch": 0.14,378      "learning_rate": 4.929384965831435e-05,379      "loss": 4.8718,380      "step": 62381    },382    {383      "epoch": 0.14,384      "learning_rate": 4.928246013667426e-05,385      "loss": 6.4467,386      "step": 63387    },388    {389      "epoch": 0.15,390      "learning_rate": 4.927107061503417e-05,391      "loss": 5.6606,392      "step": 64393    },394    {395      "epoch": 0.15,396      "learning_rate": 4.9259681093394076e-05,397      "loss": 6.4872,398      "step": 65399    },400    {401      "epoch": 0.15,402      "learning_rate": 4.924829157175399e-05,403      "loss": 8.0231,404      "step": 66405    },406    {407      "epoch": 0.15,408      "learning_rate": 4.92369020501139e-05,409      "loss": 6.0967,410      "step": 67411    },412    {413      "epoch": 0.15,414      "learning_rate": 4.922551252847381e-05,415      "loss": 6.8669,416      "step": 68417    },418    {419      "epoch": 0.16,420      "learning_rate": 4.9214123006833716e-05,421      "loss": 6.5913,422      "step": 69423    },424    {425      "epoch": 0.16,426      "learning_rate": 4.9202733485193624e-05,427      "loss": 5.0972,428      "step": 70429    },430    {431      "epoch": 0.16,432      "learning_rate": 4.919134396355353e-05,433      "loss": 5.1875,434      "step": 71435    },436    {437      "epoch": 0.16,438      "learning_rate": 4.917995444191344e-05,439      "loss": 5.143,440      "step": 72441    },442    {443      "epoch": 0.17,444      "learning_rate": 4.9168564920273356e-05,445      "loss": 4.976,446      "step": 73447    },448    {449      "epoch": 0.17,450      "learning_rate": 4.915717539863326e-05,451      "loss": 6.2076,452      "step": 74453    },454    {455      "epoch": 0.17,456      "learning_rate": 4.9145785876993165e-05,457      "loss": 6.3557,458      "step": 75459    },460    {461      "epoch": 0.17,462      "learning_rate": 4.913439635535308e-05,463      "loss": 3.9665,464      "step": 76465    },466    {467      "epoch": 0.18,468      "learning_rate": 4.912300683371299e-05,469      "loss": 6.9845,470      "step": 77471    },472    {473      "epoch": 0.18,474      "learning_rate": 4.91116173120729e-05,475      "loss": 5.5932,476      "step": 78477    },478    {479      "epoch": 0.18,480      "learning_rate": 4.9100227790432805e-05,481      "loss": 8.17,482      "step": 79483    },484    {485      "epoch": 0.18,486      "learning_rate": 4.908883826879271e-05,487      "loss": 6.9583,488      "step": 80489    },490    {491      "epoch": 0.18,492      "learning_rate": 4.907744874715262e-05,493      "loss": 5.9453,494      "step": 81495    },496    {497      "epoch": 0.19,498      "learning_rate": 4.906605922551253e-05,499      "loss": 6.1392,500      "step": 82501    },502    {503      "epoch": 0.19,504      "learning_rate": 4.9054669703872444e-05,505      "loss": 5.7155,506      "step": 83507    },508    {509      "epoch": 0.19,510      "learning_rate": 4.9043280182232346e-05,511      "loss": 6.3088,512      "step": 84513    },514    {515      "epoch": 0.19,516      "learning_rate": 4.9031890660592254e-05,517      "loss": 7.3777,518      "step": 85519    },520    {521      "epoch": 0.2,522      "learning_rate": 4.902050113895217e-05,523      "loss": 6.2157,524      "step": 86525    },526    {527      "epoch": 0.2,528      "learning_rate": 4.900911161731208e-05,529      "loss": 5.0033,530      "step": 87531    },532    {533      "epoch": 0.2,534      "learning_rate": 4.8997722095671985e-05,535      "loss": 4.8096,536      "step": 88537    },538    {539      "epoch": 0.2,540      "learning_rate": 4.8986332574031894e-05,541      "loss": 5.0981,542      "step": 89543    },544    {545      "epoch": 0.21,546      "learning_rate": 4.89749430523918e-05,547      "loss": 7.8127,548      "step": 90549    },550    {551      "epoch": 0.21,552      "learning_rate": 4.896355353075171e-05,553      "loss": 5.5104,554      "step": 91555    },556    {557      "epoch": 0.21,558      "learning_rate": 4.895216400911162e-05,559      "loss": 4.2981,560      "step": 92561    },562    {563      "epoch": 0.21,564      "learning_rate": 4.894077448747153e-05,565      "loss": 5.3174,566      "step": 93567    },568    {569      "epoch": 0.21,570      "learning_rate": 4.8929384965831435e-05,571      "loss": 5.5535,572      "step": 94573    },574    {575      "epoch": 0.22,576      "learning_rate": 4.891799544419134e-05,577      "loss": 4.1204,578      "step": 95579    },580    {581      "epoch": 0.22,582      "learning_rate": 4.890660592255126e-05,583      "loss": 5.5789,584      "step": 96585    },586    {587      "epoch": 0.22,588      "learning_rate": 4.8895216400911166e-05,589      "loss": 6.7247,590      "step": 97591    },592    {593      "epoch": 0.22,594      "learning_rate": 4.8883826879271074e-05,595      "loss": 7.0594,596      "step": 98597    },598    {599      "epoch": 0.23,600      "learning_rate": 4.8872437357630976e-05,601      "loss": 5.1639,602      "step": 99603    },604    {605      "epoch": 0.23,606      "learning_rate": 4.886104783599089e-05,607      "loss": 6.2181,608      "step": 100609    },610    {611      "epoch": 0.23,612      "learning_rate": 4.88496583143508e-05,613      "loss": 4.1885,614      "step": 101615    },616    {617      "epoch": 0.23,618      "learning_rate": 4.883826879271071e-05,619      "loss": 5.3262,620      "step": 102621    },622    {623      "epoch": 0.23,624      "learning_rate": 4.882687927107062e-05,625      "loss": 7.0901,626      "step": 103627    },628    {629      "epoch": 0.24,630      "learning_rate": 4.8815489749430524e-05,631      "loss": 6.3874,632      "step": 104633    },634    {635      "epoch": 0.24,636      "learning_rate": 4.880410022779043e-05,637      "loss": 5.7896,638      "step": 105639    },640    {641      "epoch": 0.24,642      "learning_rate": 4.879271070615035e-05,643      "loss": 5.2289,644      "step": 106645    },646    {647      "epoch": 0.24,648      "learning_rate": 4.8781321184510255e-05,649      "loss": 4.9152,650      "step": 107651    },652    {653      "epoch": 0.25,654      "learning_rate": 4.876993166287016e-05,655      "loss": 4.0898,656      "step": 108657    },658    {659      "epoch": 0.25,660      "learning_rate": 4.875854214123007e-05,661      "loss": 5.399,662      "step": 109663    },664    {665      "epoch": 0.25,666      "learning_rate": 4.874715261958998e-05,667      "loss": 5.256,668      "step": 110669    },670    {671      "epoch": 0.25,672      "learning_rate": 4.873576309794989e-05,673      "loss": 7.3301,674      "step": 111675    },676    {677      "epoch": 0.26,678      "learning_rate": 4.8724373576309796e-05,679      "loss": 5.971,680      "step": 112681    },682    {683      "epoch": 0.26,684      "learning_rate": 4.871298405466971e-05,685      "loss": 5.5653,686      "step": 113687    },688    {689      "epoch": 0.26,690      "learning_rate": 4.870159453302961e-05,691      "loss": 6.7108,692      "step": 114693    },694    {695      "epoch": 0.26,696      "learning_rate": 4.869020501138952e-05,697      "loss": 5.104,698      "step": 115699    },700    {701      "epoch": 0.26,702      "learning_rate": 4.8678815489749436e-05,703      "loss": 3.1726,704      "step": 116705    },706    {707      "epoch": 0.27,708      "learning_rate": 4.8667425968109344e-05,709      "loss": 6.0224,710      "step": 117711    },712    {713      "epoch": 0.27,714      "learning_rate": 4.865603644646925e-05,715      "loss": 6.4886,716      "step": 118717    },718    {719      "epoch": 0.27,720      "learning_rate": 4.864464692482916e-05,721      "loss": 5.3235,722      "step": 119723    },724    {725      "epoch": 0.27,726      "learning_rate": 4.863325740318907e-05,727      "loss": 4.7159,728      "step": 120729    },730    {731      "epoch": 0.28,732      "learning_rate": 4.8621867881548977e-05,733      "loss": 6.0486,734      "step": 121735    },736    {737      "epoch": 0.28,738      "learning_rate": 4.8610478359908885e-05,739      "loss": 4.8432,740      "step": 122741    },742    {743      "epoch": 0.28,744      "learning_rate": 4.85990888382688e-05,745      "loss": 3.8479,746      "step": 123747    },748    {749      "epoch": 0.28,750      "learning_rate": 4.85876993166287e-05,751      "loss": 5.1927,752      "step": 124753    },754    {755      "epoch": 0.28,756      "learning_rate": 4.857630979498861e-05,757      "loss": 4.9575,758      "step": 125759    },760    {761      "epoch": 0.29,762      "learning_rate": 4.8564920273348524e-05,763      "loss": 6.6181,764      "step": 126765    },766    {767      "epoch": 0.29,768      "learning_rate": 4.855353075170843e-05,769      "loss": 3.5296,770      "step": 127771    },772    {773      "epoch": 0.29,774      "learning_rate": 4.854214123006834e-05,775      "loss": 5.9652,776      "step": 128777    },778    {779      "epoch": 0.29,780      "learning_rate": 4.853075170842825e-05,781      "loss": 3.7124,782      "step": 129783    },784    {785      "epoch": 0.3,786      "learning_rate": 4.851936218678816e-05,787      "loss": 4.6301,788      "step": 130789    },790    {791      "epoch": 0.3,792      "learning_rate": 4.8507972665148065e-05,793      "loss": 4.6318,794      "step": 131795    },796    {797      "epoch": 0.3,798      "learning_rate": 4.8496583143507974e-05,799      "loss": 4.9169,800      "step": 132801    },802    {803      "epoch": 0.3,804      "learning_rate": 4.848519362186789e-05,805      "loss": 5.6412,806      "step": 133807    },808    {809      "epoch": 0.31,810      "learning_rate": 4.847380410022779e-05,811      "loss": 5.703,812      "step": 134813    },814    {815      "epoch": 0.31,816      "learning_rate": 4.84624145785877e-05,817      "loss": 5.5157,818      "step": 135819    },820    {821      "epoch": 0.31,822      "learning_rate": 4.845102505694761e-05,823      "loss": 5.302,824      "step": 136825    },826    {827      "epoch": 0.31,828      "learning_rate": 4.843963553530752e-05,829      "loss": 8.4144,830      "step": 137831    },832    {833      "epoch": 0.31,834      "learning_rate": 4.842824601366743e-05,835      "loss": 4.4277,836      "step": 138837    },838    {839      "epoch": 0.32,840      "learning_rate": 4.841685649202734e-05,841      "loss": 3.3021,842      "step": 139843    },844    {845      "epoch": 0.32,846      "learning_rate": 4.8405466970387246e-05,847      "loss": 5.3697,848      "step": 140849    },850    {851      "epoch": 0.32,852      "learning_rate": 4.8394077448747154e-05,853      "loss": 6.1515,854      "step": 141855    },856    {857      "epoch": 0.32,858      "learning_rate": 4.838268792710706e-05,859      "loss": 5.0783,860      "step": 142861    },862    {863      "epoch": 0.33,864      "learning_rate": 4.837129840546698e-05,865      "loss": 5.6476,866      "step": 143867    },868    {869      "epoch": 0.33,870      "learning_rate": 4.835990888382688e-05,871      "loss": 6.0066,872      "step": 144873    },874    {875      "epoch": 0.33,876      "learning_rate": 4.834851936218679e-05,877      "loss": 5.6522,878      "step": 145879    },880    {881      "epoch": 0.33,882      "learning_rate": 4.83371298405467e-05,883      "loss": 6.2684,884      "step": 146885    },886    {887      "epoch": 0.33,888      "learning_rate": 4.832574031890661e-05,889      "loss": 6.2464,890      "step": 147891    },892    {893      "epoch": 0.34,894      "learning_rate": 4.831435079726652e-05,895      "loss": 8.025,896      "step": 148897    },898    {899      "epoch": 0.34,900      "learning_rate": 4.830296127562643e-05,901      "loss": 5.7292,902      "step": 149903    },904    {905      "epoch": 0.34,906      "learning_rate": 4.8291571753986335e-05,907      "loss": 6.6286,908      "step": 150909    },910    {911      "epoch": 0.34,912      "learning_rate": 4.828018223234624e-05,913      "loss": 5.2295,914      "step": 151915    },916    {917      "epoch": 0.35,918      "learning_rate": 4.826879271070615e-05,919      "loss": 3.3221,920      "step": 152921    },922    {923      "epoch": 0.35,924      "learning_rate": 4.8257403189066066e-05,925      "loss": 5.561,926      "step": 153927    },928    {929      "epoch": 0.35,930      "learning_rate": 4.824601366742597e-05,931      "loss": 4.0204,932      "step": 154933    },934    {935      "epoch": 0.35,936      "learning_rate": 4.8234624145785876e-05,937      "loss": 5.223,938      "step": 155939    },940    {941      "epoch": 0.36,942      "learning_rate": 4.8223234624145784e-05,943      "loss": 5.8434,944      "step": 156945    },946    {947      "epoch": 0.36,948      "learning_rate": 4.82118451025057e-05,949      "loss": 4.7687,950      "step": 157951    },952    {953      "epoch": 0.36,954      "learning_rate": 4.820045558086561e-05,955      "loss": 5.6896,956      "step": 158957    },958    {959      "epoch": 0.36,960      "learning_rate": 4.8189066059225516e-05,961      "loss": 4.4732,962      "step": 159963    },964    {965      "epoch": 0.36,966      "learning_rate": 4.8177676537585424e-05,967      "loss": 5.0196,968      "step": 160969    },970    {971      "epoch": 0.37,972      "learning_rate": 4.816628701594533e-05,973      "loss": 5.2394,974      "step": 161975    },976    {977      "epoch": 0.37,978      "learning_rate": 4.815489749430524e-05,979      "loss": 4.4934,980      "step": 162981    },982    {983      "epoch": 0.37,984      "learning_rate": 4.8143507972665155e-05,985      "loss": 3.838,986      "step": 163987    },988    {989      "epoch": 0.37,990      "learning_rate": 4.813211845102506e-05,991      "loss": 4.5055,992      "step": 164993    },994    {995      "epoch": 0.38,996      "learning_rate": 4.8120728929384965e-05,997      "loss": 6.3589,998      "step": 165999    },1000    {1001      "epoch": 0.38,1002      "learning_rate": 4.810933940774487e-05,1003      "loss": 4.5191,1004      "step": 1661005    },1006    {1007      "epoch": 0.38,1008      "learning_rate": 4.809794988610479e-05,1009      "loss": 5.4652,1010      "step": 1671011    },1012    {1013      "epoch": 0.38,1014      "learning_rate": 4.8086560364464696e-05,1015      "loss": 5.786,1016      "step": 1681017    },1018    {1019      "epoch": 0.38,1020      "learning_rate": 4.8075170842824604e-05,1021      "loss": 5.3748,1022      "step": 1691023    },1024    {1025      "epoch": 0.39,1026      "learning_rate": 4.806378132118451e-05,1027      "loss": 5.2441,1028      "step": 1701029    },1030    {1031      "epoch": 0.39,1032      "learning_rate": 4.805239179954442e-05,1033      "loss": 8.0993,1034      "step": 1711035    },1036    {1037      "epoch": 0.39,1038      "learning_rate": 4.804100227790433e-05,1039      "loss": 6.6524,1040      "step": 1721041    },1042    {1043      "epoch": 0.39,1044      "learning_rate": 4.8029612756264244e-05,1045      "loss": 5.0897,1046      "step": 1731047    },1048    {1049      "epoch": 0.4,1050      "learning_rate": 4.801822323462415e-05,1051      "loss": 5.6209,1052      "step": 1741053    },1054    {1055      "epoch": 0.4,1056      "learning_rate": 4.8006833712984054e-05,1057      "loss": 6.0429,1058      "step": 1751059    },1060    {1061      "epoch": 0.4,1062      "learning_rate": 4.799544419134396e-05,1063      "loss": 5.6825,1064      "step": 1761065    },1066    {1067      "epoch": 0.4,1068      "learning_rate": 4.798405466970388e-05,1069      "loss": 4.1911,1070      "step": 1771071    },1072    {1073      "epoch": 0.41,1074      "learning_rate": 4.7972665148063785e-05,1075      "loss": 6.3678,1076      "step": 1781077    },1078    {1079      "epoch": 0.41,1080      "learning_rate": 4.796127562642369e-05,1081      "loss": 5.4064,1082      "step": 1791083    },1084    {1085      "epoch": 0.41,1086      "learning_rate": 4.79498861047836e-05,1087      "loss": 6.096,1088      "step": 1801089    },1090    {1091      "epoch": 0.41,1092      "learning_rate": 4.793849658314351e-05,1093      "loss": 6.7477,1094      "step": 1811095    },1096    {1097      "epoch": 0.41,1098      "learning_rate": 4.792710706150342e-05,1099      "loss": 5.9499,1100      "step": 1821101    },1102    {1103      "epoch": 0.42,1104      "learning_rate": 4.791571753986333e-05,1105      "loss": 5.4382,1106      "step": 1831107    },1108    {1109      "epoch": 0.42,1110      "learning_rate": 4.790432801822324e-05,1111      "loss": 6.2821,1112      "step": 1841113    },1114    {1115      "epoch": 0.42,1116      "learning_rate": 4.789293849658314e-05,1117      "loss": 4.3839,1118      "step": 1851119    },1120    {1121      "epoch": 0.42,1122      "learning_rate": 4.788154897494305e-05,1123      "loss": 6.8907,1124      "step": 1861125    },1126    {1127      "epoch": 0.43,1128      "learning_rate": 4.7870159453302966e-05,1129      "loss": 4.5461,1130      "step": 1871131    },1132    {1133      "epoch": 0.43,1134      "learning_rate": 4.7858769931662874e-05,1135      "loss": 6.7334,1136      "step": 1881137    },1138    {1139      "epoch": 0.43,1140      "learning_rate": 4.784738041002278e-05,1141      "loss": 4.8625,1142      "step": 1891143    },1144    {1145      "epoch": 0.43,1146      "learning_rate": 4.783599088838269e-05,1147      "loss": 5.446,1148      "step": 1901149    },1150    {1151      "epoch": 0.44,1152      "learning_rate": 4.78246013667426e-05,1153      "loss": 4.1151,1154      "step": 1911155    },1156    {1157      "epoch": 0.44,1158      "learning_rate": 4.781321184510251e-05,1159      "loss": 3.6497,1160      "step": 1921161    },1162    {1163      "epoch": 0.44,1164      "learning_rate": 4.780182232346242e-05,1165      "loss": 5.479,1166      "step": 1931167    },1168    {1169      "epoch": 0.44,1170      "learning_rate": 4.779043280182233e-05,1171      "loss": 5.2026,1172      "step": 1941173    },1174    {1175      "epoch": 0.44,1176      "learning_rate": 4.777904328018223e-05,1177      "loss": 5.0487,1178      "step": 1951179    },1180    {1181      "epoch": 0.45,1182      "learning_rate": 4.776765375854214e-05,1183      "loss": 5.3173,1184      "step": 1961185    },1186    {1187      "epoch": 0.45,1188      "learning_rate": 4.7756264236902054e-05,1189      "loss": 5.2775,1190      "step": 1971191    },1192    {1193      "epoch": 0.45,1194      "learning_rate": 4.774487471526196e-05,1195      "loss": 5.9495,1196      "step": 1981197    },1198    {1199      "epoch": 0.45,1200      "learning_rate": 4.773348519362187e-05,

Showing the first 1,200 of 26366 lines. Download the file for the rest.