|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 10.0, |
|
"eval_steps": 500, |
|
"global_step": 119380, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 2.0833333333333333e-05, |
|
"loss": 7.7261, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.17, |
|
"learning_rate": 4.1666666666666665e-05, |
|
"loss": 5.5648, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 0.25, |
|
"learning_rate": 6.25e-05, |
|
"loss": 5.0119, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 0.34, |
|
"learning_rate": 8.333333333333333e-05, |
|
"loss": 4.6599, |
|
"step": 4000 |
|
}, |
|
{ |
|
"epoch": 0.42, |
|
"learning_rate": 0.00010416666666666667, |
|
"loss": 4.3568, |
|
"step": 5000 |
|
}, |
|
{ |
|
"epoch": 0.5, |
|
"learning_rate": 0.000125, |
|
"loss": 4.1194, |
|
"step": 6000 |
|
}, |
|
{ |
|
"epoch": 0.59, |
|
"learning_rate": 0.00014583333333333335, |
|
"loss": 3.8926, |
|
"step": 7000 |
|
}, |
|
{ |
|
"epoch": 0.67, |
|
"learning_rate": 0.00016666666666666666, |
|
"loss": 3.778, |
|
"step": 8000 |
|
}, |
|
{ |
|
"epoch": 0.75, |
|
"learning_rate": 0.0001875, |
|
"loss": 3.65, |
|
"step": 9000 |
|
}, |
|
{ |
|
"epoch": 0.84, |
|
"learning_rate": 0.00020833333333333335, |
|
"loss": 3.6165, |
|
"step": 10000 |
|
}, |
|
{ |
|
"epoch": 0.92, |
|
"learning_rate": 0.00022916666666666666, |
|
"loss": 3.5523, |
|
"step": 11000 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.3512480392306169, |
|
"eval_loss": 3.490408420562744, |
|
"eval_runtime": 8.7154, |
|
"eval_samples_per_second": 8031.783, |
|
"eval_steps_per_second": 15.719, |
|
"step": 11938 |
|
}, |
|
{ |
|
"epoch": 1.01, |
|
"learning_rate": 0.00025, |
|
"loss": 3.4876, |
|
"step": 12000 |
|
}, |
|
{ |
|
"epoch": 1.09, |
|
"learning_rate": 0.0002708333333333333, |
|
"loss": 3.4466, |
|
"step": 13000 |
|
}, |
|
{ |
|
"epoch": 1.17, |
|
"learning_rate": 0.0002916666666666667, |
|
"loss": 3.4306, |
|
"step": 14000 |
|
}, |
|
{ |
|
"epoch": 1.26, |
|
"learning_rate": 0.0003125, |
|
"loss": 3.39, |
|
"step": 15000 |
|
}, |
|
{ |
|
"epoch": 1.34, |
|
"learning_rate": 0.0003333333333333333, |
|
"loss": 3.3891, |
|
"step": 16000 |
|
}, |
|
{ |
|
"epoch": 1.42, |
|
"learning_rate": 0.0003541666666666667, |
|
"loss": 3.367, |
|
"step": 17000 |
|
}, |
|
{ |
|
"epoch": 1.51, |
|
"learning_rate": 0.000375, |
|
"loss": 3.3546, |
|
"step": 18000 |
|
}, |
|
{ |
|
"epoch": 1.59, |
|
"learning_rate": 0.0003958333333333333, |
|
"loss": 3.3348, |
|
"step": 19000 |
|
}, |
|
{ |
|
"epoch": 1.68, |
|
"learning_rate": 0.0004166666666666667, |
|
"loss": 3.3235, |
|
"step": 20000 |
|
}, |
|
{ |
|
"epoch": 1.76, |
|
"learning_rate": 0.0004375, |
|
"loss": 3.3207, |
|
"step": 21000 |
|
}, |
|
{ |
|
"epoch": 1.84, |
|
"learning_rate": 0.0004583333333333333, |
|
"loss": 3.3028, |
|
"step": 22000 |
|
}, |
|
{ |
|
"epoch": 1.93, |
|
"learning_rate": 0.0004791666666666667, |
|
"loss": 3.3151, |
|
"step": 23000 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.36783764827859605, |
|
"eval_loss": 3.319209098815918, |
|
"eval_runtime": 8.6438, |
|
"eval_samples_per_second": 8098.333, |
|
"eval_steps_per_second": 15.85, |
|
"step": 23876 |
|
}, |
|
{ |
|
"epoch": 2.01, |
|
"learning_rate": 0.0005, |
|
"loss": 3.2991, |
|
"step": 24000 |
|
}, |
|
{ |
|
"epoch": 2.09, |
|
"learning_rate": 0.0004947578108618159, |
|
"loss": 3.3032, |
|
"step": 25000 |
|
}, |
|
{ |
|
"epoch": 2.18, |
|
"learning_rate": 0.0004895156217236318, |
|
"loss": 3.2872, |
|
"step": 26000 |
|
}, |
|
{ |
|
"epoch": 2.26, |
|
"learning_rate": 0.0004842734325854477, |
|
"loss": 3.2814, |
|
"step": 27000 |
|
}, |
|
{ |
|
"epoch": 2.35, |
|
"learning_rate": 0.0004790312434472636, |
|
"loss": 3.2595, |
|
"step": 28000 |
|
}, |
|
{ |
|
"epoch": 2.43, |
|
"learning_rate": 0.0004737890543090795, |
|
"loss": 3.2423, |
|
"step": 29000 |
|
}, |
|
{ |
|
"epoch": 2.51, |
|
"learning_rate": 0.0004685468651708954, |
|
"loss": 3.2336, |
|
"step": 30000 |
|
}, |
|
{ |
|
"epoch": 2.6, |
|
"learning_rate": 0.00046330467603271125, |
|
"loss": 3.2224, |
|
"step": 31000 |
|
}, |
|
{ |
|
"epoch": 2.68, |
|
"learning_rate": 0.00045806248689452716, |
|
"loss": 3.1981, |
|
"step": 32000 |
|
}, |
|
{ |
|
"epoch": 2.76, |
|
"learning_rate": 0.000452820297756343, |
|
"loss": 3.1808, |
|
"step": 33000 |
|
}, |
|
{ |
|
"epoch": 2.85, |
|
"learning_rate": 0.00044757810861815897, |
|
"loss": 3.1593, |
|
"step": 34000 |
|
}, |
|
{ |
|
"epoch": 2.93, |
|
"learning_rate": 0.0004423359194799749, |
|
"loss": 3.1526, |
|
"step": 35000 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.3893979057591623, |
|
"eval_loss": 3.154465675354004, |
|
"eval_runtime": 8.7169, |
|
"eval_samples_per_second": 8030.369, |
|
"eval_steps_per_second": 15.717, |
|
"step": 35814 |
|
}, |
|
{ |
|
"epoch": 3.02, |
|
"learning_rate": 0.00043709373034179073, |
|
"loss": 3.1466, |
|
"step": 36000 |
|
}, |
|
{ |
|
"epoch": 3.1, |
|
"learning_rate": 0.00043185154120360664, |
|
"loss": 3.1035, |
|
"step": 37000 |
|
}, |
|
{ |
|
"epoch": 3.18, |
|
"learning_rate": 0.0004266093520654225, |
|
"loss": 3.0893, |
|
"step": 38000 |
|
}, |
|
{ |
|
"epoch": 3.27, |
|
"learning_rate": 0.0004213671629272384, |
|
"loss": 3.1148, |
|
"step": 39000 |
|
}, |
|
{ |
|
"epoch": 3.35, |
|
"learning_rate": 0.00041612497378905436, |
|
"loss": 3.0801, |
|
"step": 40000 |
|
}, |
|
{ |
|
"epoch": 3.43, |
|
"learning_rate": 0.0004108827846508702, |
|
"loss": 3.0814, |
|
"step": 41000 |
|
}, |
|
{ |
|
"epoch": 3.52, |
|
"learning_rate": 0.0004056405955126861, |
|
"loss": 3.0665, |
|
"step": 42000 |
|
}, |
|
{ |
|
"epoch": 3.6, |
|
"learning_rate": 0.00040039840637450197, |
|
"loss": 3.0718, |
|
"step": 43000 |
|
}, |
|
{ |
|
"epoch": 3.69, |
|
"learning_rate": 0.0003951562172363179, |
|
"loss": 3.0462, |
|
"step": 44000 |
|
}, |
|
{ |
|
"epoch": 3.77, |
|
"learning_rate": 0.0003899140280981338, |
|
"loss": 3.0328, |
|
"step": 45000 |
|
}, |
|
{ |
|
"epoch": 3.85, |
|
"learning_rate": 0.0003846718389599497, |
|
"loss": 3.0601, |
|
"step": 46000 |
|
}, |
|
{ |
|
"epoch": 3.94, |
|
"learning_rate": 0.0003794296498217656, |
|
"loss": 3.0031, |
|
"step": 47000 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.3971048095550437, |
|
"eval_loss": 3.0706326961517334, |
|
"eval_runtime": 8.6604, |
|
"eval_samples_per_second": 8082.758, |
|
"eval_steps_per_second": 15.819, |
|
"step": 47752 |
|
}, |
|
{ |
|
"epoch": 4.02, |
|
"learning_rate": 0.00037418746068358145, |
|
"loss": 3.0134, |
|
"step": 48000 |
|
}, |
|
{ |
|
"epoch": 4.1, |
|
"learning_rate": 0.00036894527154539736, |
|
"loss": 3.0064, |
|
"step": 49000 |
|
}, |
|
{ |
|
"epoch": 4.19, |
|
"learning_rate": 0.00036370308240721327, |
|
"loss": 2.9887, |
|
"step": 50000 |
|
}, |
|
{ |
|
"epoch": 4.27, |
|
"learning_rate": 0.0003584608932690291, |
|
"loss": 2.9757, |
|
"step": 51000 |
|
}, |
|
{ |
|
"epoch": 4.36, |
|
"learning_rate": 0.0003532187041308451, |
|
"loss": 2.9678, |
|
"step": 52000 |
|
}, |
|
{ |
|
"epoch": 4.44, |
|
"learning_rate": 0.00034797651499266093, |
|
"loss": 2.964, |
|
"step": 53000 |
|
}, |
|
{ |
|
"epoch": 4.52, |
|
"learning_rate": 0.00034273432585447684, |
|
"loss": 2.9642, |
|
"step": 54000 |
|
}, |
|
{ |
|
"epoch": 4.61, |
|
"learning_rate": 0.00033749213671629275, |
|
"loss": 2.9797, |
|
"step": 55000 |
|
}, |
|
{ |
|
"epoch": 4.69, |
|
"learning_rate": 0.0003322499475781086, |
|
"loss": 2.9534, |
|
"step": 56000 |
|
}, |
|
{ |
|
"epoch": 4.77, |
|
"learning_rate": 0.0003270077584399245, |
|
"loss": 2.9476, |
|
"step": 57000 |
|
}, |
|
{ |
|
"epoch": 4.86, |
|
"learning_rate": 0.0003217655693017404, |
|
"loss": 2.9431, |
|
"step": 58000 |
|
}, |
|
{ |
|
"epoch": 4.94, |
|
"learning_rate": 0.0003165233801635563, |
|
"loss": 2.9668, |
|
"step": 59000 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy": 0.41213198432230425, |
|
"eval_loss": 2.9605636596679688, |
|
"eval_runtime": 8.7459, |
|
"eval_samples_per_second": 8003.788, |
|
"eval_steps_per_second": 15.665, |
|
"step": 59690 |
|
}, |
|
{ |
|
"epoch": 5.03, |
|
"learning_rate": 0.00031128119102537223, |
|
"loss": 2.9106, |
|
"step": 60000 |
|
}, |
|
{ |
|
"epoch": 5.11, |
|
"learning_rate": 0.0003060390018871881, |
|
"loss": 2.9053, |
|
"step": 61000 |
|
}, |
|
{ |
|
"epoch": 5.19, |
|
"learning_rate": 0.000300796812749004, |
|
"loss": 2.8983, |
|
"step": 62000 |
|
}, |
|
{ |
|
"epoch": 5.28, |
|
"learning_rate": 0.00029555462361081984, |
|
"loss": 2.8828, |
|
"step": 63000 |
|
}, |
|
{ |
|
"epoch": 5.36, |
|
"learning_rate": 0.0002903124344726358, |
|
"loss": 2.8971, |
|
"step": 64000 |
|
}, |
|
{ |
|
"epoch": 5.44, |
|
"learning_rate": 0.0002850702453344517, |
|
"loss": 2.9074, |
|
"step": 65000 |
|
}, |
|
{ |
|
"epoch": 5.53, |
|
"learning_rate": 0.00027982805619626756, |
|
"loss": 2.8792, |
|
"step": 66000 |
|
}, |
|
{ |
|
"epoch": 5.61, |
|
"learning_rate": 0.00027458586705808347, |
|
"loss": 2.8902, |
|
"step": 67000 |
|
}, |
|
{ |
|
"epoch": 5.7, |
|
"learning_rate": 0.0002693436779198993, |
|
"loss": 2.8666, |
|
"step": 68000 |
|
}, |
|
{ |
|
"epoch": 5.78, |
|
"learning_rate": 0.00026410148878171523, |
|
"loss": 2.8868, |
|
"step": 69000 |
|
}, |
|
{ |
|
"epoch": 5.86, |
|
"learning_rate": 0.0002588592996435312, |
|
"loss": 2.8509, |
|
"step": 70000 |
|
}, |
|
{ |
|
"epoch": 5.95, |
|
"learning_rate": 0.00025361711050534704, |
|
"loss": 2.8548, |
|
"step": 71000 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_accuracy": 0.4243559291065229, |
|
"eval_loss": 2.8717477321624756, |
|
"eval_runtime": 8.7188, |
|
"eval_samples_per_second": 8028.594, |
|
"eval_steps_per_second": 15.713, |
|
"step": 71628 |
|
}, |
|
{ |
|
"epoch": 6.03, |
|
"learning_rate": 0.00024837492136716295, |
|
"loss": 2.8484, |
|
"step": 72000 |
|
}, |
|
{ |
|
"epoch": 6.11, |
|
"learning_rate": 0.00024313273222897883, |
|
"loss": 2.8266, |
|
"step": 73000 |
|
}, |
|
{ |
|
"epoch": 6.2, |
|
"learning_rate": 0.0002378905430907947, |
|
"loss": 2.8247, |
|
"step": 74000 |
|
}, |
|
{ |
|
"epoch": 6.28, |
|
"learning_rate": 0.00023264835395261061, |
|
"loss": 2.8151, |
|
"step": 75000 |
|
}, |
|
{ |
|
"epoch": 6.37, |
|
"learning_rate": 0.0002274061648144265, |
|
"loss": 2.8078, |
|
"step": 76000 |
|
}, |
|
{ |
|
"epoch": 6.45, |
|
"learning_rate": 0.0002221639756762424, |
|
"loss": 2.8143, |
|
"step": 77000 |
|
}, |
|
{ |
|
"epoch": 6.53, |
|
"learning_rate": 0.0002169217865380583, |
|
"loss": 2.8043, |
|
"step": 78000 |
|
}, |
|
{ |
|
"epoch": 6.62, |
|
"learning_rate": 0.0002116795973998742, |
|
"loss": 2.8159, |
|
"step": 79000 |
|
}, |
|
{ |
|
"epoch": 6.7, |
|
"learning_rate": 0.00020643740826169007, |
|
"loss": 2.7825, |
|
"step": 80000 |
|
}, |
|
{ |
|
"epoch": 6.79, |
|
"learning_rate": 0.00020119521912350598, |
|
"loss": 2.812, |
|
"step": 81000 |
|
}, |
|
{ |
|
"epoch": 6.87, |
|
"learning_rate": 0.00019595302998532188, |
|
"loss": 2.766, |
|
"step": 82000 |
|
}, |
|
{ |
|
"epoch": 6.95, |
|
"learning_rate": 0.00019071084084713776, |
|
"loss": 2.7686, |
|
"step": 83000 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"eval_accuracy": 0.4311035312390553, |
|
"eval_loss": 2.8147239685058594, |
|
"eval_runtime": 8.6579, |
|
"eval_samples_per_second": 8085.129, |
|
"eval_steps_per_second": 15.824, |
|
"step": 83566 |
|
}, |
|
{ |
|
"epoch": 7.04, |
|
"learning_rate": 0.00018546865170895367, |
|
"loss": 2.7648, |
|
"step": 84000 |
|
}, |
|
{ |
|
"epoch": 7.12, |
|
"learning_rate": 0.00018022646257076955, |
|
"loss": 2.7609, |
|
"step": 85000 |
|
}, |
|
{ |
|
"epoch": 7.2, |
|
"learning_rate": 0.00017498427343258543, |
|
"loss": 2.7306, |
|
"step": 86000 |
|
}, |
|
{ |
|
"epoch": 7.29, |
|
"learning_rate": 0.00016974208429440136, |
|
"loss": 2.718, |
|
"step": 87000 |
|
}, |
|
{ |
|
"epoch": 7.37, |
|
"learning_rate": 0.00016449989515621724, |
|
"loss": 2.7218, |
|
"step": 88000 |
|
}, |
|
{ |
|
"epoch": 7.46, |
|
"learning_rate": 0.00015925770601803312, |
|
"loss": 2.7624, |
|
"step": 89000 |
|
}, |
|
{ |
|
"epoch": 7.54, |
|
"learning_rate": 0.00015401551687984903, |
|
"loss": 2.7478, |
|
"step": 90000 |
|
}, |
|
{ |
|
"epoch": 7.62, |
|
"learning_rate": 0.0001487733277416649, |
|
"loss": 2.7372, |
|
"step": 91000 |
|
}, |
|
{ |
|
"epoch": 7.71, |
|
"learning_rate": 0.00014353113860348082, |
|
"loss": 2.7467, |
|
"step": 92000 |
|
}, |
|
{ |
|
"epoch": 7.79, |
|
"learning_rate": 0.00013828894946529672, |
|
"loss": 2.7205, |
|
"step": 93000 |
|
}, |
|
{ |
|
"epoch": 7.87, |
|
"learning_rate": 0.0001330467603271126, |
|
"loss": 2.7269, |
|
"step": 94000 |
|
}, |
|
{ |
|
"epoch": 7.96, |
|
"learning_rate": 0.00012780457118892848, |
|
"loss": 2.7195, |
|
"step": 95000 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"eval_accuracy": 0.4389084267882209, |
|
"eval_loss": 2.7656898498535156, |
|
"eval_runtime": 8.6162, |
|
"eval_samples_per_second": 8124.227, |
|
"eval_steps_per_second": 15.9, |
|
"step": 95504 |
|
}, |
|
{ |
|
"epoch": 8.04, |
|
"learning_rate": 0.0001225623820507444, |
|
"loss": 2.7004, |
|
"step": 96000 |
|
}, |
|
{ |
|
"epoch": 8.13, |
|
"learning_rate": 0.00011732019291256028, |
|
"loss": 2.7043, |
|
"step": 97000 |
|
}, |
|
{ |
|
"epoch": 8.21, |
|
"learning_rate": 0.00011207800377437619, |
|
"loss": 2.7322, |
|
"step": 98000 |
|
}, |
|
{ |
|
"epoch": 8.29, |
|
"learning_rate": 0.00010683581463619207, |
|
"loss": 2.6874, |
|
"step": 99000 |
|
}, |
|
{ |
|
"epoch": 8.38, |
|
"learning_rate": 0.00010159362549800798, |
|
"loss": 2.6771, |
|
"step": 100000 |
|
}, |
|
{ |
|
"epoch": 8.46, |
|
"learning_rate": 9.635143635982387e-05, |
|
"loss": 2.6827, |
|
"step": 101000 |
|
}, |
|
{ |
|
"epoch": 8.54, |
|
"learning_rate": 9.110924722163975e-05, |
|
"loss": 2.6756, |
|
"step": 102000 |
|
}, |
|
{ |
|
"epoch": 8.63, |
|
"learning_rate": 8.586705808345566e-05, |
|
"loss": 2.6575, |
|
"step": 103000 |
|
}, |
|
{ |
|
"epoch": 8.71, |
|
"learning_rate": 8.062486894527155e-05, |
|
"loss": 2.669, |
|
"step": 104000 |
|
}, |
|
{ |
|
"epoch": 8.8, |
|
"learning_rate": 7.538267980708744e-05, |
|
"loss": 2.6623, |
|
"step": 105000 |
|
}, |
|
{ |
|
"epoch": 8.88, |
|
"learning_rate": 7.014049066890334e-05, |
|
"loss": 2.6518, |
|
"step": 106000 |
|
}, |
|
{ |
|
"epoch": 8.96, |
|
"learning_rate": 6.489830153071923e-05, |
|
"loss": 2.6659, |
|
"step": 107000 |
|
}, |
|
{ |
|
"epoch": 9.0, |
|
"eval_accuracy": 0.4483279917760174, |
|
"eval_loss": 2.710298538208008, |
|
"eval_runtime": 8.5942, |
|
"eval_samples_per_second": 8145.024, |
|
"eval_steps_per_second": 15.941, |
|
"step": 107442 |
|
}, |
|
{ |
|
"epoch": 9.05, |
|
"learning_rate": 5.965611239253512e-05, |
|
"loss": 2.6505, |
|
"step": 108000 |
|
}, |
|
{ |
|
"epoch": 9.13, |
|
"learning_rate": 5.441392325435102e-05, |
|
"loss": 2.6367, |
|
"step": 109000 |
|
}, |
|
{ |
|
"epoch": 9.21, |
|
"learning_rate": 4.917173411616691e-05, |
|
"loss": 2.6232, |
|
"step": 110000 |
|
}, |
|
{ |
|
"epoch": 9.3, |
|
"learning_rate": 4.3929544977982805e-05, |
|
"loss": 2.6453, |
|
"step": 111000 |
|
}, |
|
{ |
|
"epoch": 9.38, |
|
"learning_rate": 3.8687355839798705e-05, |
|
"loss": 2.6565, |
|
"step": 112000 |
|
}, |
|
{ |
|
"epoch": 9.47, |
|
"learning_rate": 3.344516670161459e-05, |
|
"loss": 2.6244, |
|
"step": 113000 |
|
}, |
|
{ |
|
"epoch": 9.55, |
|
"learning_rate": 2.820297756343049e-05, |
|
"loss": 2.6429, |
|
"step": 114000 |
|
}, |
|
{ |
|
"epoch": 9.63, |
|
"learning_rate": 2.2960788425246382e-05, |
|
"loss": 2.6117, |
|
"step": 115000 |
|
}, |
|
{ |
|
"epoch": 9.72, |
|
"learning_rate": 1.771859928706228e-05, |
|
"loss": 2.6289, |
|
"step": 116000 |
|
}, |
|
{ |
|
"epoch": 9.8, |
|
"learning_rate": 1.2476410148878172e-05, |
|
"loss": 2.6174, |
|
"step": 117000 |
|
}, |
|
{ |
|
"epoch": 9.88, |
|
"learning_rate": 7.234221010694066e-06, |
|
"loss": 2.6142, |
|
"step": 118000 |
|
}, |
|
{ |
|
"epoch": 9.97, |
|
"learning_rate": 1.99203187250996e-06, |
|
"loss": 2.6254, |
|
"step": 119000 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"eval_accuracy": 0.4510256799878438, |
|
"eval_loss": 2.699005126953125, |
|
"eval_runtime": 8.5626, |
|
"eval_samples_per_second": 8175.05, |
|
"eval_steps_per_second": 16.0, |
|
"step": 119380 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"step": 119380, |
|
"total_flos": 6556448698096128.0, |
|
"train_loss": 3.079910436302079, |
|
"train_runtime": 7252.3341, |
|
"train_samples_per_second": 1053.439, |
|
"train_steps_per_second": 16.461 |
|
} |
|
], |
|
"logging_steps": 1000, |
|
"max_steps": 119380, |
|
"num_train_epochs": 10, |
|
"save_steps": 2000, |
|
"total_flos": 6556448698096128.0, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|