|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 1.962406015037594, |
|
"eval_steps": 17, |
|
"global_step": 132, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.02, |
|
"learning_rate": 2e-05, |
|
"loss": 1.8373, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"eval_loss": 1.8333783149719238, |
|
"eval_runtime": 16.5756, |
|
"eval_samples_per_second": 2.715, |
|
"eval_steps_per_second": 1.388, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"learning_rate": 4e-05, |
|
"loss": 1.8119, |
|
"step": 2 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 6e-05, |
|
"loss": 1.8301, |
|
"step": 3 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 8e-05, |
|
"loss": 1.7976, |
|
"step": 4 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 0.0001, |
|
"loss": 1.853, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 0.00012, |
|
"loss": 1.7586, |
|
"step": 6 |
|
}, |
|
{ |
|
"epoch": 0.11, |
|
"learning_rate": 0.00014, |
|
"loss": 1.8416, |
|
"step": 7 |
|
}, |
|
{ |
|
"epoch": 0.12, |
|
"learning_rate": 0.00016, |
|
"loss": 1.7755, |
|
"step": 8 |
|
}, |
|
{ |
|
"epoch": 0.14, |
|
"learning_rate": 0.00018, |
|
"loss": 1.804, |
|
"step": 9 |
|
}, |
|
{ |
|
"epoch": 0.15, |
|
"learning_rate": 0.0002, |
|
"loss": 1.7858, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.17, |
|
"learning_rate": 0.0001999923511388017, |
|
"loss": 1.7311, |
|
"step": 11 |
|
}, |
|
{ |
|
"epoch": 0.18, |
|
"learning_rate": 0.0001999694057253083, |
|
"loss": 1.7012, |
|
"step": 12 |
|
}, |
|
{ |
|
"epoch": 0.2, |
|
"learning_rate": 0.00019993116726964554, |
|
"loss": 1.742, |
|
"step": 13 |
|
}, |
|
{ |
|
"epoch": 0.21, |
|
"learning_rate": 0.00019987764162142613, |
|
"loss": 1.7209, |
|
"step": 14 |
|
}, |
|
{ |
|
"epoch": 0.23, |
|
"learning_rate": 0.0001998088369688552, |
|
"loss": 1.7578, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 0.24, |
|
"learning_rate": 0.00019972476383747748, |
|
"loss": 1.6906, |
|
"step": 16 |
|
}, |
|
{ |
|
"epoch": 0.26, |
|
"learning_rate": 0.0001996254350885672, |
|
"loss": 1.738, |
|
"step": 17 |
|
}, |
|
{ |
|
"epoch": 0.26, |
|
"eval_loss": 1.754616141319275, |
|
"eval_runtime": 16.6372, |
|
"eval_samples_per_second": 2.705, |
|
"eval_steps_per_second": 1.382, |
|
"step": 17 |
|
}, |
|
{ |
|
"epoch": 0.27, |
|
"learning_rate": 0.0001995108659171607, |
|
"loss": 1.7976, |
|
"step": 18 |
|
}, |
|
{ |
|
"epoch": 0.29, |
|
"learning_rate": 0.00019938107384973166, |
|
"loss": 1.7781, |
|
"step": 19 |
|
}, |
|
{ |
|
"epoch": 0.3, |
|
"learning_rate": 0.00019923607874151032, |
|
"loss": 1.7737, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.32, |
|
"learning_rate": 0.00019907590277344582, |
|
"loss": 1.6662, |
|
"step": 21 |
|
}, |
|
{ |
|
"epoch": 0.33, |
|
"learning_rate": 0.00019890057044881306, |
|
"loss": 1.7869, |
|
"step": 22 |
|
}, |
|
{ |
|
"epoch": 0.35, |
|
"learning_rate": 0.0001987101085894644, |
|
"loss": 1.6646, |
|
"step": 23 |
|
}, |
|
{ |
|
"epoch": 0.36, |
|
"learning_rate": 0.00019850454633172631, |
|
"loss": 1.7482, |
|
"step": 24 |
|
}, |
|
{ |
|
"epoch": 0.38, |
|
"learning_rate": 0.0001982839151219424, |
|
"loss": 1.7112, |
|
"step": 25 |
|
}, |
|
{ |
|
"epoch": 0.39, |
|
"learning_rate": 0.00019804824871166255, |
|
"loss": 1.7083, |
|
"step": 26 |
|
}, |
|
{ |
|
"epoch": 0.41, |
|
"learning_rate": 0.00019779758315248004, |
|
"loss": 1.728, |
|
"step": 27 |
|
}, |
|
{ |
|
"epoch": 0.42, |
|
"learning_rate": 0.00019753195679051628, |
|
"loss": 1.7292, |
|
"step": 28 |
|
}, |
|
{ |
|
"epoch": 0.44, |
|
"learning_rate": 0.0001972514102605547, |
|
"loss": 1.6902, |
|
"step": 29 |
|
}, |
|
{ |
|
"epoch": 0.45, |
|
"learning_rate": 0.00019695598647982468, |
|
"loss": 1.7432, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 0.47, |
|
"learning_rate": 0.00019664573064143604, |
|
"loss": 1.7258, |
|
"step": 31 |
|
}, |
|
{ |
|
"epoch": 0.48, |
|
"learning_rate": 0.00019632069020746572, |
|
"loss": 1.7363, |
|
"step": 32 |
|
}, |
|
{ |
|
"epoch": 0.5, |
|
"learning_rate": 0.00019598091490169694, |
|
"loss": 1.7142, |
|
"step": 33 |
|
}, |
|
{ |
|
"epoch": 0.51, |
|
"learning_rate": 0.00019562645670201276, |
|
"loss": 1.704, |
|
"step": 34 |
|
}, |
|
{ |
|
"epoch": 0.51, |
|
"eval_loss": 1.7388739585876465, |
|
"eval_runtime": 16.5955, |
|
"eval_samples_per_second": 2.712, |
|
"eval_steps_per_second": 1.386, |
|
"step": 34 |
|
}, |
|
{ |
|
"epoch": 0.53, |
|
"learning_rate": 0.0001952573698324446, |
|
"loss": 1.7393, |
|
"step": 35 |
|
}, |
|
{ |
|
"epoch": 0.54, |
|
"learning_rate": 0.00019487371075487713, |
|
"loss": 1.7568, |
|
"step": 36 |
|
}, |
|
{ |
|
"epoch": 0.56, |
|
"learning_rate": 0.000194475538160411, |
|
"loss": 1.7445, |
|
"step": 37 |
|
}, |
|
{ |
|
"epoch": 0.57, |
|
"learning_rate": 0.0001940629129603844, |
|
"loss": 1.6595, |
|
"step": 38 |
|
}, |
|
{ |
|
"epoch": 0.59, |
|
"learning_rate": 0.00019363589827705492, |
|
"loss": 1.7288, |
|
"step": 39 |
|
}, |
|
{ |
|
"epoch": 0.6, |
|
"learning_rate": 0.00019319455943394347, |
|
"loss": 1.6342, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 0.62, |
|
"learning_rate": 0.00019273896394584103, |
|
"loss": 1.7066, |
|
"step": 41 |
|
}, |
|
{ |
|
"epoch": 0.63, |
|
"learning_rate": 0.00019226918150848068, |
|
"loss": 1.6558, |
|
"step": 42 |
|
}, |
|
{ |
|
"epoch": 0.65, |
|
"learning_rate": 0.00019178528398787551, |
|
"loss": 1.6756, |
|
"step": 43 |
|
}, |
|
{ |
|
"epoch": 0.66, |
|
"learning_rate": 0.00019128734540932495, |
|
"loss": 1.7146, |
|
"step": 44 |
|
}, |
|
{ |
|
"epoch": 0.68, |
|
"learning_rate": 0.00019077544194609042, |
|
"loss": 1.7043, |
|
"step": 45 |
|
}, |
|
{ |
|
"epoch": 0.69, |
|
"learning_rate": 0.00019024965190774263, |
|
"loss": 1.6396, |
|
"step": 46 |
|
}, |
|
{ |
|
"epoch": 0.71, |
|
"learning_rate": 0.00018971005572818213, |
|
"loss": 1.648, |
|
"step": 47 |
|
}, |
|
{ |
|
"epoch": 0.72, |
|
"learning_rate": 0.00018915673595333444, |
|
"loss": 1.5988, |
|
"step": 48 |
|
}, |
|
{ |
|
"epoch": 0.74, |
|
"learning_rate": 0.00018858977722852275, |
|
"loss": 1.7394, |
|
"step": 49 |
|
}, |
|
{ |
|
"epoch": 0.75, |
|
"learning_rate": 0.00018800926628551886, |
|
"loss": 1.6362, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 0.77, |
|
"learning_rate": 0.00018741529192927526, |
|
"loss": 1.6762, |
|
"step": 51 |
|
}, |
|
{ |
|
"epoch": 0.77, |
|
"eval_loss": 1.7409569025039673, |
|
"eval_runtime": 16.7147, |
|
"eval_samples_per_second": 2.692, |
|
"eval_steps_per_second": 1.376, |
|
"step": 51 |
|
}, |
|
{ |
|
"epoch": 0.78, |
|
"learning_rate": 0.00018680794502434018, |
|
"loss": 1.6534, |
|
"step": 52 |
|
}, |
|
{ |
|
"epoch": 0.8, |
|
"learning_rate": 0.00018618731848095706, |
|
"loss": 1.6551, |
|
"step": 53 |
|
}, |
|
{ |
|
"epoch": 0.81, |
|
"learning_rate": 0.00018555350724085162, |
|
"loss": 1.6297, |
|
"step": 54 |
|
}, |
|
{ |
|
"epoch": 0.83, |
|
"learning_rate": 0.0001849066082627079, |
|
"loss": 1.7152, |
|
"step": 55 |
|
}, |
|
{ |
|
"epoch": 0.84, |
|
"learning_rate": 0.00018424672050733576, |
|
"loss": 1.7062, |
|
"step": 56 |
|
}, |
|
{ |
|
"epoch": 0.86, |
|
"learning_rate": 0.00018357394492253215, |
|
"loss": 1.5742, |
|
"step": 57 |
|
}, |
|
{ |
|
"epoch": 0.87, |
|
"learning_rate": 0.00018288838442763838, |
|
"loss": 1.6424, |
|
"step": 58 |
|
}, |
|
{ |
|
"epoch": 0.89, |
|
"learning_rate": 0.00018219014389779585, |
|
"loss": 1.6544, |
|
"step": 59 |
|
}, |
|
{ |
|
"epoch": 0.9, |
|
"learning_rate": 0.00018147933014790244, |
|
"loss": 1.6179, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 0.92, |
|
"learning_rate": 0.0001807560519162724, |
|
"loss": 1.6823, |
|
"step": 61 |
|
}, |
|
{ |
|
"epoch": 0.93, |
|
"learning_rate": 0.00018002041984800174, |
|
"loss": 1.5845, |
|
"step": 62 |
|
}, |
|
{ |
|
"epoch": 0.95, |
|
"learning_rate": 0.00017927254647804209, |
|
"loss": 1.6177, |
|
"step": 63 |
|
}, |
|
{ |
|
"epoch": 0.96, |
|
"learning_rate": 0.0001785125462139855, |
|
"loss": 1.6196, |
|
"step": 64 |
|
}, |
|
{ |
|
"epoch": 0.98, |
|
"learning_rate": 0.00017774053531856258, |
|
"loss": 1.6526, |
|
"step": 65 |
|
}, |
|
{ |
|
"epoch": 0.99, |
|
"learning_rate": 0.000176956631891857, |
|
"loss": 1.5792, |
|
"step": 66 |
|
}, |
|
{ |
|
"epoch": 1.01, |
|
"learning_rate": 0.00017616095585323878, |
|
"loss": 1.6652, |
|
"step": 67 |
|
}, |
|
{ |
|
"epoch": 1.02, |
|
"learning_rate": 0.00017535362892301954, |
|
"loss": 1.5981, |
|
"step": 68 |
|
}, |
|
{ |
|
"epoch": 1.02, |
|
"eval_loss": 1.7487449645996094, |
|
"eval_runtime": 16.6837, |
|
"eval_samples_per_second": 2.697, |
|
"eval_steps_per_second": 1.379, |
|
"step": 68 |
|
}, |
|
{ |
|
"epoch": 1.02, |
|
"learning_rate": 0.0001745347746038319, |
|
"loss": 1.6053, |
|
"step": 69 |
|
}, |
|
{ |
|
"epoch": 1.03, |
|
"learning_rate": 0.0001737045181617364, |
|
"loss": 1.6171, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 1.05, |
|
"learning_rate": 0.00017286298660705875, |
|
"loss": 1.631, |
|
"step": 71 |
|
}, |
|
{ |
|
"epoch": 1.06, |
|
"learning_rate": 0.00017201030867496005, |
|
"loss": 1.5558, |
|
"step": 72 |
|
}, |
|
{ |
|
"epoch": 1.08, |
|
"learning_rate": 0.00017114661480574332, |
|
"loss": 1.5339, |
|
"step": 73 |
|
}, |
|
{ |
|
"epoch": 1.09, |
|
"learning_rate": 0.000170272037124899, |
|
"loss": 1.6548, |
|
"step": 74 |
|
}, |
|
{ |
|
"epoch": 1.11, |
|
"learning_rate": 0.00016938670942289293, |
|
"loss": 1.5526, |
|
"step": 75 |
|
}, |
|
{ |
|
"epoch": 1.12, |
|
"learning_rate": 0.00016849076713469914, |
|
"loss": 1.5565, |
|
"step": 76 |
|
}, |
|
{ |
|
"epoch": 1.14, |
|
"learning_rate": 0.00016758434731908178, |
|
"loss": 1.5604, |
|
"step": 77 |
|
}, |
|
{ |
|
"epoch": 1.15, |
|
"learning_rate": 0.00016666758863762793, |
|
"loss": 1.5654, |
|
"step": 78 |
|
}, |
|
{ |
|
"epoch": 1.17, |
|
"learning_rate": 0.00016574063133353582, |
|
"loss": 1.5967, |
|
"step": 79 |
|
}, |
|
{ |
|
"epoch": 1.18, |
|
"learning_rate": 0.00016480361721016054, |
|
"loss": 1.5608, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 1.2, |
|
"learning_rate": 0.00016385668960932143, |
|
"loss": 1.5801, |
|
"step": 81 |
|
}, |
|
{ |
|
"epoch": 1.21, |
|
"learning_rate": 0.00016289999338937427, |
|
"loss": 1.5472, |
|
"step": 82 |
|
}, |
|
{ |
|
"epoch": 1.23, |
|
"learning_rate": 0.00016193367490305088, |
|
"loss": 1.5126, |
|
"step": 83 |
|
}, |
|
{ |
|
"epoch": 1.24, |
|
"learning_rate": 0.00016095788197507081, |
|
"loss": 1.5896, |
|
"step": 84 |
|
}, |
|
{ |
|
"epoch": 1.26, |
|
"learning_rate": 0.00015997276387952732, |
|
"loss": 1.5593, |
|
"step": 85 |
|
}, |
|
{ |
|
"epoch": 1.26, |
|
"eval_loss": 1.79562509059906, |
|
"eval_runtime": 16.6149, |
|
"eval_samples_per_second": 2.708, |
|
"eval_steps_per_second": 1.384, |
|
"step": 85 |
|
}, |
|
{ |
|
"epoch": 1.27, |
|
"learning_rate": 0.00015897847131705195, |
|
"loss": 1.5616, |
|
"step": 86 |
|
}, |
|
{ |
|
"epoch": 1.29, |
|
"learning_rate": 0.00015797515639176074, |
|
"loss": 1.596, |
|
"step": 87 |
|
}, |
|
{ |
|
"epoch": 1.3, |
|
"learning_rate": 0.0001569629725879857, |
|
"loss": 1.595, |
|
"step": 88 |
|
}, |
|
{ |
|
"epoch": 1.32, |
|
"learning_rate": 0.00015594207474679532, |
|
"loss": 1.5442, |
|
"step": 89 |
|
}, |
|
{ |
|
"epoch": 1.33, |
|
"learning_rate": 0.00015491261904230727, |
|
"loss": 1.5812, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 1.35, |
|
"learning_rate": 0.00015387476295779736, |
|
"loss": 1.5214, |
|
"step": 91 |
|
}, |
|
{ |
|
"epoch": 1.36, |
|
"learning_rate": 0.00015282866526160837, |
|
"loss": 1.5403, |
|
"step": 92 |
|
}, |
|
{ |
|
"epoch": 1.38, |
|
"learning_rate": 0.0001517744859828618, |
|
"loss": 1.4751, |
|
"step": 93 |
|
}, |
|
{ |
|
"epoch": 1.39, |
|
"learning_rate": 0.00015071238638697732, |
|
"loss": 1.5861, |
|
"step": 94 |
|
}, |
|
{ |
|
"epoch": 1.41, |
|
"learning_rate": 0.00014964252895100264, |
|
"loss": 1.5334, |
|
"step": 95 |
|
}, |
|
{ |
|
"epoch": 1.42, |
|
"learning_rate": 0.00014856507733875836, |
|
"loss": 1.4884, |
|
"step": 96 |
|
}, |
|
{ |
|
"epoch": 1.44, |
|
"learning_rate": 0.00014748019637580114, |
|
"loss": 1.5297, |
|
"step": 97 |
|
}, |
|
{ |
|
"epoch": 1.45, |
|
"learning_rate": 0.00014638805202420895, |
|
"loss": 1.4725, |
|
"step": 98 |
|
}, |
|
{ |
|
"epoch": 1.47, |
|
"learning_rate": 0.0001452888113571929, |
|
"loss": 1.4849, |
|
"step": 99 |
|
}, |
|
{ |
|
"epoch": 1.48, |
|
"learning_rate": 0.0001441826425335387, |
|
"loss": 1.5654, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 1.5, |
|
"learning_rate": 0.00014306971477188223, |
|
"loss": 1.6349, |
|
"step": 101 |
|
}, |
|
{ |
|
"epoch": 1.51, |
|
"learning_rate": 0.0001419501983248229, |
|
"loss": 1.4415, |
|
"step": 102 |
|
}, |
|
{ |
|
"epoch": 1.51, |
|
"eval_loss": 1.7860450744628906, |
|
"eval_runtime": 16.6303, |
|
"eval_samples_per_second": 2.706, |
|
"eval_steps_per_second": 1.383, |
|
"step": 102 |
|
}, |
|
{ |
|
"epoch": 1.53, |
|
"learning_rate": 0.00014082426445287903, |
|
"loss": 1.5735, |
|
"step": 103 |
|
}, |
|
{ |
|
"epoch": 1.54, |
|
"learning_rate": 0.00013969208539828872, |
|
"loss": 1.5328, |
|
"step": 104 |
|
}, |
|
{ |
|
"epoch": 1.56, |
|
"learning_rate": 0.00013855383435866077, |
|
"loss": 1.5466, |
|
"step": 105 |
|
}, |
|
{ |
|
"epoch": 1.57, |
|
"learning_rate": 0.00013740968546047935, |
|
"loss": 1.5861, |
|
"step": 106 |
|
}, |
|
{ |
|
"epoch": 1.59, |
|
"learning_rate": 0.0001362598137324667, |
|
"loss": 1.5449, |
|
"step": 107 |
|
}, |
|
{ |
|
"epoch": 1.6, |
|
"learning_rate": 0.00013510439507880776, |
|
"loss": 1.6084, |
|
"step": 108 |
|
}, |
|
{ |
|
"epoch": 1.62, |
|
"learning_rate": 0.00013394360625224068, |
|
"loss": 1.5249, |
|
"step": 109 |
|
}, |
|
{ |
|
"epoch": 1.63, |
|
"learning_rate": 0.00013277762482701767, |
|
"loss": 1.5594, |
|
"step": 110 |
|
}, |
|
{ |
|
"epoch": 1.65, |
|
"learning_rate": 0.00013160662917174044, |
|
"loss": 1.5877, |
|
"step": 111 |
|
}, |
|
{ |
|
"epoch": 1.66, |
|
"learning_rate": 0.0001304307984220736, |
|
"loss": 1.4964, |
|
"step": 112 |
|
}, |
|
{ |
|
"epoch": 1.68, |
|
"learning_rate": 0.0001292503124533411, |
|
"loss": 1.4538, |
|
"step": 113 |
|
}, |
|
{ |
|
"epoch": 1.69, |
|
"learning_rate": 0.0001280653518530093, |
|
"loss": 1.4454, |
|
"step": 114 |
|
}, |
|
{ |
|
"epoch": 1.71, |
|
"learning_rate": 0.00012687609789306144, |
|
"loss": 1.4512, |
|
"step": 115 |
|
}, |
|
{ |
|
"epoch": 1.72, |
|
"learning_rate": 0.0001256827325022668, |
|
"loss": 1.38, |
|
"step": 116 |
|
}, |
|
{ |
|
"epoch": 1.74, |
|
"learning_rate": 0.00012448543823835015, |
|
"loss": 1.5207, |
|
"step": 117 |
|
}, |
|
{ |
|
"epoch": 1.75, |
|
"learning_rate": 0.00012328439826006415, |
|
"loss": 1.4787, |
|
"step": 118 |
|
}, |
|
{ |
|
"epoch": 1.77, |
|
"learning_rate": 0.0001220797962991706, |
|
"loss": 1.6098, |
|
"step": 119 |
|
}, |
|
{ |
|
"epoch": 1.77, |
|
"eval_loss": 1.8019659519195557, |
|
"eval_runtime": 16.646, |
|
"eval_samples_per_second": 2.703, |
|
"eval_steps_per_second": 1.382, |
|
"step": 119 |
|
}, |
|
{ |
|
"epoch": 1.78, |
|
"learning_rate": 0.00012087181663233354, |
|
"loss": 1.4798, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 1.8, |
|
"learning_rate": 0.00011966064405292887, |
|
"loss": 1.5248, |
|
"step": 121 |
|
}, |
|
{ |
|
"epoch": 1.81, |
|
"learning_rate": 0.0001184464638427756, |
|
"loss": 1.4309, |
|
"step": 122 |
|
}, |
|
{ |
|
"epoch": 1.83, |
|
"learning_rate": 0.00011722946174379168, |
|
"loss": 1.4477, |
|
"step": 123 |
|
}, |
|
{ |
|
"epoch": 1.84, |
|
"learning_rate": 0.00011600982392957978, |
|
"loss": 1.4843, |
|
"step": 124 |
|
}, |
|
{ |
|
"epoch": 1.86, |
|
"learning_rate": 0.00011478773697694691, |
|
"loss": 1.4298, |
|
"step": 125 |
|
}, |
|
{ |
|
"epoch": 1.87, |
|
"learning_rate": 0.00011356338783736255, |
|
"loss": 1.4775, |
|
"step": 126 |
|
}, |
|
{ |
|
"epoch": 1.89, |
|
"learning_rate": 0.0001123369638083593, |
|
"loss": 1.5159, |
|
"step": 127 |
|
}, |
|
{ |
|
"epoch": 1.9, |
|
"learning_rate": 0.00011110865250488047, |
|
"loss": 1.3696, |
|
"step": 128 |
|
}, |
|
{ |
|
"epoch": 1.92, |
|
"learning_rate": 0.00010987864183057943, |
|
"loss": 1.4259, |
|
"step": 129 |
|
}, |
|
{ |
|
"epoch": 1.93, |
|
"learning_rate": 0.00010864711994907458, |
|
"loss": 1.5685, |
|
"step": 130 |
|
}, |
|
{ |
|
"epoch": 1.95, |
|
"learning_rate": 0.00010741427525516463, |
|
"loss": 1.4997, |
|
"step": 131 |
|
}, |
|
{ |
|
"epoch": 1.96, |
|
"learning_rate": 0.00010618029634600843, |
|
"loss": 1.4718, |
|
"step": 132 |
|
} |
|
], |
|
"logging_steps": 1, |
|
"max_steps": 264, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 4, |
|
"save_steps": 66, |
|
"total_flos": 1.735504576024412e+17, |
|
"train_batch_size": 2, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|