| { | |
| "metrics_history": [ | |
| { | |
| "epoch": 0.05819366852886406, | |
| "global_step": 500, | |
| "eval_loss": 0.3265715539455414, | |
| "eval_cosine_accuracy": 0.8337206840515137 | |
| }, | |
| { | |
| "epoch": 0.11638733705772812, | |
| "global_step": 1000, | |
| "eval_loss": 0.3617343008518219, | |
| "eval_cosine_accuracy": 0.8280160427093506 | |
| }, | |
| { | |
| "epoch": 0.17458100558659218, | |
| "global_step": 1500, | |
| "eval_loss": 0.35951632261276245, | |
| "eval_cosine_accuracy": 0.8382632732391357 | |
| }, | |
| { | |
| "epoch": 0.23277467411545624, | |
| "global_step": 2000, | |
| "eval_loss": 0.3711424171924591, | |
| "eval_cosine_accuracy": 0.8358334898948669 | |
| }, | |
| { | |
| "epoch": 0.2909683426443203, | |
| "global_step": 2500, | |
| "eval_loss": 0.3904484808444977, | |
| "eval_cosine_accuracy": 0.8282273411750793 | |
| }, | |
| { | |
| "epoch": 0.34916201117318435, | |
| "global_step": 3000, | |
| "eval_loss": 0.38800719380378723, | |
| "eval_cosine_accuracy": 0.822839617729187 | |
| }, | |
| { | |
| "epoch": 0.4073556797020484, | |
| "global_step": 3500, | |
| "eval_loss": 0.45464685559272766, | |
| "eval_cosine_accuracy": 0.7903021574020386 | |
| }, | |
| { | |
| "epoch": 0.4655493482309125, | |
| "global_step": 4000, | |
| "eval_loss": 0.4399067163467407, | |
| "eval_cosine_accuracy": 0.7950559854507446 | |
| }, | |
| { | |
| "epoch": 0.5237430167597765, | |
| "global_step": 4500, | |
| "eval_loss": 0.44711923599243164, | |
| "eval_cosine_accuracy": 0.7893513441085815 | |
| }, | |
| { | |
| "epoch": 0.5819366852886406, | |
| "global_step": 5000, | |
| "eval_loss": 0.44583871960639954, | |
| "eval_cosine_accuracy": 0.7972744703292847 | |
| }, | |
| { | |
| "epoch": 0.6401303538175046, | |
| "global_step": 5500, | |
| "eval_loss": 0.4766450822353363, | |
| "eval_cosine_accuracy": 0.7760405540466309 | |
| }, | |
| { | |
| "epoch": 0.6983240223463687, | |
| "global_step": 6000, | |
| "eval_loss": 0.49710753560066223, | |
| "eval_cosine_accuracy": 0.7615677118301392 | |
| }, | |
| { | |
| "epoch": 0.7565176908752328, | |
| "global_step": 6500, | |
| "eval_loss": 0.48617255687713623, | |
| "eval_cosine_accuracy": 0.7761462330818176 | |
| }, | |
| { | |
| "epoch": 0.8147113594040968, | |
| "global_step": 7000, | |
| "eval_loss": 0.514951765537262, | |
| "eval_cosine_accuracy": 0.7470948696136475 | |
| }, | |
| { | |
| "epoch": 0.8729050279329609, | |
| "global_step": 7500, | |
| "eval_loss": 0.49496394395828247, | |
| "eval_cosine_accuracy": 0.7597718238830566 | |
| }, | |
| { | |
| "epoch": 0.931098696461825, | |
| "global_step": 8000, | |
| "eval_loss": 0.5210782885551453, | |
| "eval_cosine_accuracy": 0.7321994304656982 | |
| }, | |
| { | |
| "epoch": 0.9892923649906891, | |
| "global_step": 8500, | |
| "eval_loss": 0.5197136402130127, | |
| "eval_cosine_accuracy": 0.7376927733421326 | |
| }, | |
| { | |
| "epoch": 1.047486033519553, | |
| "global_step": 9000, | |
| "eval_loss": 0.5157160758972168, | |
| "eval_cosine_accuracy": 0.7394887208938599 | |
| }, | |
| { | |
| "epoch": 1.105679702048417, | |
| "global_step": 9500, | |
| "eval_loss": 0.5262643694877625, | |
| "eval_cosine_accuracy": 0.7379040718078613 | |
| }, | |
| { | |
| "epoch": 1.1638733705772812, | |
| "global_step": 10000, | |
| "eval_loss": 0.5438600778579712, | |
| "eval_cosine_accuracy": 0.7258609533309937 | |
| }, | |
| { | |
| "epoch": 1.2220670391061452, | |
| "global_step": 10500, | |
| "eval_loss": 0.5367482900619507, | |
| "eval_cosine_accuracy": 0.7293471097946167 | |
| }, | |
| { | |
| "epoch": 1.2802607076350094, | |
| "global_step": 11000, | |
| "eval_loss": 0.5721879005432129, | |
| "eval_cosine_accuracy": 0.7034650444984436 | |
| }, | |
| { | |
| "epoch": 1.3384543761638734, | |
| "global_step": 11500, | |
| "eval_loss": 0.5377742648124695, | |
| "eval_cosine_accuracy": 0.7343122959136963 | |
| }, | |
| { | |
| "epoch": 1.3966480446927374, | |
| "global_step": 12000, | |
| "eval_loss": 0.5350662469863892, | |
| "eval_cosine_accuracy": 0.730192244052887 | |
| }, | |
| { | |
| "epoch": 1.4548417132216014, | |
| "global_step": 12500, | |
| "eval_loss": 0.5529947876930237, | |
| "eval_cosine_accuracy": 0.7192055583000183 | |
| }, | |
| { | |
| "epoch": 1.5130353817504656, | |
| "global_step": 13000, | |
| "eval_loss": 0.5624330043792725, | |
| "eval_cosine_accuracy": 0.7035706639289856 | |
| }, | |
| { | |
| "epoch": 1.5712290502793296, | |
| "global_step": 13500, | |
| "eval_loss": 0.5798157453536987, | |
| "eval_cosine_accuracy": 0.6944855451583862 | |
| }, | |
| { | |
| "epoch": 1.6294227188081938, | |
| "global_step": 14000, | |
| "eval_loss": 0.5619487166404724, | |
| "eval_cosine_accuracy": 0.7114937901496887 | |
| }, | |
| { | |
| "epoch": 1.6876163873370578, | |
| "global_step": 14500, | |
| "eval_loss": 0.5943849682807922, | |
| "eval_cosine_accuracy": 0.6863511800765991 | |
| }, | |
| { | |
| "epoch": 1.7458100558659218, | |
| "global_step": 15000, | |
| "eval_loss": 0.5627889633178711, | |
| "eval_cosine_accuracy": 0.712444543838501 | |
| }, | |
| { | |
| "epoch": 1.8040037243947857, | |
| "global_step": 15500, | |
| "eval_loss": 0.5584973692893982, | |
| "eval_cosine_accuracy": 0.698183000087738 | |
| }, | |
| { | |
| "epoch": 1.86219739292365, | |
| "global_step": 16000, | |
| "eval_loss": 0.5702577233314514, | |
| "eval_cosine_accuracy": 0.7010352611541748 | |
| }, | |
| { | |
| "epoch": 1.920391061452514, | |
| "global_step": 16500, | |
| "eval_loss": 0.5965489745140076, | |
| "eval_cosine_accuracy": 0.6801183223724365 | |
| }, | |
| { | |
| "epoch": 1.9785847299813781, | |
| "global_step": 17000, | |
| "eval_loss": 0.5630908608436584, | |
| "eval_cosine_accuracy": 0.7057891488075256 | |
| }, | |
| { | |
| "epoch": 2.036778398510242, | |
| "global_step": 17500, | |
| "eval_loss": 0.573241651058197, | |
| "eval_cosine_accuracy": 0.7000845074653625 | |
| }, | |
| { | |
| "epoch": 2.094972067039106, | |
| "global_step": 18000, | |
| "eval_loss": 0.5863020420074463, | |
| "eval_cosine_accuracy": 0.6810690760612488 | |
| }, | |
| { | |
| "epoch": 2.15316573556797, | |
| "global_step": 18500, | |
| "eval_loss": 0.5871772766113281, | |
| "eval_cosine_accuracy": 0.6927952766418457 | |
| }, | |
| { | |
| "epoch": 2.211359404096834, | |
| "global_step": 19000, | |
| "eval_loss": 0.5891428589820862, | |
| "eval_cosine_accuracy": 0.6970208883285522 | |
| }, | |
| { | |
| "epoch": 2.2695530726256985, | |
| "global_step": 19500, | |
| "eval_loss": 0.600773811340332, | |
| "eval_cosine_accuracy": 0.6833931803703308 | |
| }, | |
| { | |
| "epoch": 2.3277467411545625, | |
| "global_step": 20000, | |
| "eval_loss": 0.5844529271125793, | |
| "eval_cosine_accuracy": 0.6958588361740112 | |
| }, | |
| { | |
| "epoch": 2.3859404096834265, | |
| "global_step": 20500, | |
| "eval_loss": 0.5948883295059204, | |
| "eval_cosine_accuracy": 0.6862455010414124 | |
| }, | |
| { | |
| "epoch": 2.4441340782122905, | |
| "global_step": 21000, | |
| "eval_loss": 0.5971450805664062, | |
| "eval_cosine_accuracy": 0.6829706430435181 | |
| }, | |
| { | |
| "epoch": 2.5023277467411544, | |
| "global_step": 21500, | |
| "eval_loss": 0.612638533115387, | |
| "eval_cosine_accuracy": 0.6735685467720032 | |
| }, | |
| { | |
| "epoch": 2.560521415270019, | |
| "global_step": 22000, | |
| "eval_loss": 0.5996671319007874, | |
| "eval_cosine_accuracy": 0.6825480461120605 | |
| }, | |
| { | |
| "epoch": 2.618715083798883, | |
| "global_step": 22500, | |
| "eval_loss": 0.6220535635948181, | |
| "eval_cosine_accuracy": 0.6731460094451904 | |
| }, | |
| { | |
| "epoch": 2.676908752327747, | |
| "global_step": 23000, | |
| "eval_loss": 0.6126848459243774, | |
| "eval_cosine_accuracy": 0.6774773001670837 | |
| }, | |
| { | |
| "epoch": 2.735102420856611, | |
| "global_step": 23500, | |
| "eval_loss": 0.6177366971969604, | |
| "eval_cosine_accuracy": 0.6693429350852966 | |
| }, | |
| { | |
| "epoch": 2.793296089385475, | |
| "global_step": 24000, | |
| "eval_loss": 0.6116131544113159, | |
| "eval_cosine_accuracy": 0.6803296208381653 | |
| }, | |
| { | |
| "epoch": 2.851489757914339, | |
| "global_step": 24500, | |
| "eval_loss": 0.6035599112510681, | |
| "eval_cosine_accuracy": 0.6775829195976257 | |
| }, | |
| { | |
| "epoch": 2.9096834264432028, | |
| "global_step": 25000, | |
| "eval_loss": 0.6071164011955261, | |
| "eval_cosine_accuracy": 0.6763152480125427 | |
| }, | |
| { | |
| "epoch": 2.967877094972067, | |
| "global_step": 25500, | |
| "eval_loss": 0.6033285856246948, | |
| "eval_cosine_accuracy": 0.6777942180633545 | |
| }, | |
| { | |
| "epoch": 3.026070763500931, | |
| "global_step": 26000, | |
| "eval_loss": 0.6075280904769897, | |
| "eval_cosine_accuracy": 0.6765264868736267 | |
| }, | |
| { | |
| "epoch": 3.084264432029795, | |
| "global_step": 26500, | |
| "eval_loss": 0.6169347763061523, | |
| "eval_cosine_accuracy": 0.674836277961731 | |
| }, | |
| { | |
| "epoch": 3.142458100558659, | |
| "global_step": 27000, | |
| "eval_loss": 0.6152327656745911, | |
| "eval_cosine_accuracy": 0.674836277961731 | |
| }, | |
| { | |
| "epoch": 3.200651769087523, | |
| "global_step": 27500, | |
| "eval_loss": 0.6097703576087952, | |
| "eval_cosine_accuracy": 0.6781111359596252 | |
| }, | |
| { | |
| "epoch": 3.2588454376163876, | |
| "global_step": 28000, | |
| "eval_loss": 0.6135534048080444, | |
| "eval_cosine_accuracy": 0.6747305989265442 | |
| }, | |
| { | |
| "epoch": 3.3170391061452515, | |
| "global_step": 28500, | |
| "eval_loss": 0.6127398610115051, | |
| "eval_cosine_accuracy": 0.6752588152885437 | |
| }, | |
| { | |
| "epoch": 3.3752327746741155, | |
| "global_step": 29000, | |
| "eval_loss": 0.6184883117675781, | |
| "eval_cosine_accuracy": 0.6732516288757324 | |
| }, | |
| { | |
| "epoch": 3.4334264432029795, | |
| "global_step": 29500, | |
| "eval_loss": 0.6146544218063354, | |
| "eval_cosine_accuracy": 0.6731460094451904 | |
| }, | |
| { | |
| "epoch": 3.4916201117318435, | |
| "global_step": 30000, | |
| "eval_loss": 0.6132456660270691, | |
| "eval_cosine_accuracy": 0.6731460094451904 | |
| }, | |
| { | |
| "epoch": 3.5498137802607075, | |
| "global_step": 30500, | |
| "eval_loss": 0.6162088513374329, | |
| "eval_cosine_accuracy": 0.6726177930831909 | |
| }, | |
| { | |
| "epoch": 3.6080074487895715, | |
| "global_step": 31000, | |
| "eval_loss": 0.6143919229507446, | |
| "eval_cosine_accuracy": 0.6745193600654602 | |
| }, | |
| { | |
| "epoch": 3.666201117318436, | |
| "global_step": 31500, | |
| "eval_loss": 0.6197054982185364, | |
| "eval_cosine_accuracy": 0.6723008751869202 | |
| }, | |
| { | |
| "epoch": 3.7243947858473, | |
| "global_step": 32000, | |
| "eval_loss": 0.619126558303833, | |
| "eval_cosine_accuracy": 0.6715613603591919 | |
| }, | |
| { | |
| "epoch": 3.782588454376164, | |
| "global_step": 32500, | |
| "eval_loss": 0.6180660128593445, | |
| "eval_cosine_accuracy": 0.6720895767211914 | |
| }, | |
| { | |
| "epoch": 3.840782122905028, | |
| "global_step": 33000, | |
| "eval_loss": 0.6176912188529968, | |
| "eval_cosine_accuracy": 0.6726177930831909 | |
| }, | |
| { | |
| "epoch": 3.898975791433892, | |
| "global_step": 33500, | |
| "eval_loss": 0.6178871989250183, | |
| "eval_cosine_accuracy": 0.6723008751869202 | |
| }, | |
| { | |
| "epoch": 3.9571694599627563, | |
| "global_step": 34000, | |
| "eval_loss": 0.6180205345153809, | |
| "eval_cosine_accuracy": 0.6720895767211914 | |
| } | |
| ], | |
| "total_epochs": 4.0, | |
| "total_steps": 34368 | |
| } |