|
{ |
|
"best_metric": 0.5178616046905518, |
|
"best_model_checkpoint": "/data/jcanete/all_results/xnli/albeto_large/epochs_4_bs_16_lr_5e-6/checkpoint-48000", |
|
"epoch": 4.0, |
|
"global_step": 98176, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.02, |
|
"learning_rate": 4.974790172750978e-06, |
|
"loss": 1.0068, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 4.9493766297262065e-06, |
|
"loss": 0.8946, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 4.924268660365059e-06, |
|
"loss": 0.8615, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 4.899007904172099e-06, |
|
"loss": 1.0693, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"eval_accuracy": 0.5301204819277109, |
|
"eval_loss": 0.9672217965126038, |
|
"eval_runtime": 3.1152, |
|
"eval_samples_per_second": 799.309, |
|
"eval_steps_per_second": 50.077, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 0.1, |
|
"learning_rate": 4.873594361147327e-06, |
|
"loss": 0.9457, |
|
"step": 2500 |
|
}, |
|
{ |
|
"epoch": 0.12, |
|
"learning_rate": 4.848129889178619e-06, |
|
"loss": 0.8099, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 0.14, |
|
"learning_rate": 4.822665417209909e-06, |
|
"loss": 0.7534, |
|
"step": 3500 |
|
}, |
|
{ |
|
"epoch": 0.16, |
|
"learning_rate": 4.7972009452412e-06, |
|
"loss": 0.7074, |
|
"step": 4000 |
|
}, |
|
{ |
|
"epoch": 0.16, |
|
"eval_accuracy": 0.6859437751004016, |
|
"eval_loss": 0.7257041931152344, |
|
"eval_runtime": 3.1181, |
|
"eval_samples_per_second": 798.568, |
|
"eval_steps_per_second": 50.031, |
|
"step": 4000 |
|
}, |
|
{ |
|
"epoch": 0.18, |
|
"learning_rate": 4.7717364732724905e-06, |
|
"loss": 0.706, |
|
"step": 4500 |
|
}, |
|
{ |
|
"epoch": 0.2, |
|
"learning_rate": 4.746272001303782e-06, |
|
"loss": 0.6929, |
|
"step": 5000 |
|
}, |
|
{ |
|
"epoch": 0.22, |
|
"learning_rate": 4.720807529335072e-06, |
|
"loss": 0.6786, |
|
"step": 5500 |
|
}, |
|
{ |
|
"epoch": 0.24, |
|
"learning_rate": 4.6953430573663625e-06, |
|
"loss": 0.6533, |
|
"step": 6000 |
|
}, |
|
{ |
|
"epoch": 0.24, |
|
"eval_accuracy": 0.7156626506024096, |
|
"eval_loss": 0.7040365934371948, |
|
"eval_runtime": 3.106, |
|
"eval_samples_per_second": 801.678, |
|
"eval_steps_per_second": 50.226, |
|
"step": 6000 |
|
}, |
|
{ |
|
"epoch": 0.26, |
|
"learning_rate": 4.669878585397654e-06, |
|
"loss": 0.7996, |
|
"step": 6500 |
|
}, |
|
{ |
|
"epoch": 0.29, |
|
"learning_rate": 4.644414113428944e-06, |
|
"loss": 0.7019, |
|
"step": 7000 |
|
}, |
|
{ |
|
"epoch": 0.31, |
|
"learning_rate": 4.618949641460235e-06, |
|
"loss": 0.6643, |
|
"step": 7500 |
|
}, |
|
{ |
|
"epoch": 0.33, |
|
"learning_rate": 4.593485169491526e-06, |
|
"loss": 0.6375, |
|
"step": 8000 |
|
}, |
|
{ |
|
"epoch": 0.33, |
|
"eval_accuracy": 0.7421686746987952, |
|
"eval_loss": 0.6504086256027222, |
|
"eval_runtime": 3.105, |
|
"eval_samples_per_second": 801.928, |
|
"eval_steps_per_second": 50.241, |
|
"step": 8000 |
|
}, |
|
{ |
|
"epoch": 0.35, |
|
"learning_rate": 4.568020697522816e-06, |
|
"loss": 0.6397, |
|
"step": 8500 |
|
}, |
|
{ |
|
"epoch": 0.37, |
|
"learning_rate": 4.542556225554107e-06, |
|
"loss": 0.6264, |
|
"step": 9000 |
|
}, |
|
{ |
|
"epoch": 0.39, |
|
"learning_rate": 4.517091753585398e-06, |
|
"loss": 0.6288, |
|
"step": 9500 |
|
}, |
|
{ |
|
"epoch": 0.41, |
|
"learning_rate": 4.491627281616689e-06, |
|
"loss": 0.6158, |
|
"step": 10000 |
|
}, |
|
{ |
|
"epoch": 0.41, |
|
"eval_accuracy": 0.7542168674698795, |
|
"eval_loss": 0.6070215702056885, |
|
"eval_runtime": 3.1074, |
|
"eval_samples_per_second": 801.321, |
|
"eval_steps_per_second": 50.203, |
|
"step": 10000 |
|
}, |
|
{ |
|
"epoch": 0.43, |
|
"learning_rate": 4.46616280964798e-06, |
|
"loss": 0.6155, |
|
"step": 10500 |
|
}, |
|
{ |
|
"epoch": 0.45, |
|
"learning_rate": 4.44069833767927e-06, |
|
"loss": 0.6139, |
|
"step": 11000 |
|
}, |
|
{ |
|
"epoch": 0.47, |
|
"learning_rate": 4.415233865710561e-06, |
|
"loss": 0.6096, |
|
"step": 11500 |
|
}, |
|
{ |
|
"epoch": 0.49, |
|
"learning_rate": 4.389769393741852e-06, |
|
"loss": 0.5992, |
|
"step": 12000 |
|
}, |
|
{ |
|
"epoch": 0.49, |
|
"eval_accuracy": 0.7674698795180723, |
|
"eval_loss": 0.5774316191673279, |
|
"eval_runtime": 3.0887, |
|
"eval_samples_per_second": 806.17, |
|
"eval_steps_per_second": 50.507, |
|
"step": 12000 |
|
}, |
|
{ |
|
"epoch": 0.51, |
|
"learning_rate": 4.364304921773142e-06, |
|
"loss": 0.6005, |
|
"step": 12500 |
|
}, |
|
{ |
|
"epoch": 0.53, |
|
"learning_rate": 4.3388404498044335e-06, |
|
"loss": 0.6118, |
|
"step": 13000 |
|
}, |
|
{ |
|
"epoch": 0.55, |
|
"learning_rate": 4.313375977835724e-06, |
|
"loss": 0.6063, |
|
"step": 13500 |
|
}, |
|
{ |
|
"epoch": 0.57, |
|
"learning_rate": 4.287911505867014e-06, |
|
"loss": 0.5997, |
|
"step": 14000 |
|
}, |
|
{ |
|
"epoch": 0.57, |
|
"eval_accuracy": 0.7714859437751004, |
|
"eval_loss": 0.5825369954109192, |
|
"eval_runtime": 3.1126, |
|
"eval_samples_per_second": 799.965, |
|
"eval_steps_per_second": 50.118, |
|
"step": 14000 |
|
}, |
|
{ |
|
"epoch": 0.59, |
|
"learning_rate": 4.2624470338983054e-06, |
|
"loss": 0.5779, |
|
"step": 14500 |
|
}, |
|
{ |
|
"epoch": 0.61, |
|
"learning_rate": 4.236982561929597e-06, |
|
"loss": 0.6107, |
|
"step": 15000 |
|
}, |
|
{ |
|
"epoch": 0.63, |
|
"learning_rate": 4.211518089960887e-06, |
|
"loss": 0.5816, |
|
"step": 15500 |
|
}, |
|
{ |
|
"epoch": 0.65, |
|
"learning_rate": 4.186053617992178e-06, |
|
"loss": 0.592, |
|
"step": 16000 |
|
}, |
|
{ |
|
"epoch": 0.65, |
|
"eval_accuracy": 0.7742971887550201, |
|
"eval_loss": 0.5646522641181946, |
|
"eval_runtime": 3.1034, |
|
"eval_samples_per_second": 802.352, |
|
"eval_steps_per_second": 50.268, |
|
"step": 16000 |
|
}, |
|
{ |
|
"epoch": 0.67, |
|
"learning_rate": 4.1605891460234686e-06, |
|
"loss": 0.5846, |
|
"step": 16500 |
|
}, |
|
{ |
|
"epoch": 0.69, |
|
"learning_rate": 4.135124674054759e-06, |
|
"loss": 0.5791, |
|
"step": 17000 |
|
}, |
|
{ |
|
"epoch": 0.71, |
|
"learning_rate": 4.10966020208605e-06, |
|
"loss": 0.595, |
|
"step": 17500 |
|
}, |
|
{ |
|
"epoch": 0.73, |
|
"learning_rate": 4.0841957301173405e-06, |
|
"loss": 0.5682, |
|
"step": 18000 |
|
}, |
|
{ |
|
"epoch": 0.73, |
|
"eval_accuracy": 0.7746987951807229, |
|
"eval_loss": 0.5749292969703674, |
|
"eval_runtime": 3.0899, |
|
"eval_samples_per_second": 805.855, |
|
"eval_steps_per_second": 50.487, |
|
"step": 18000 |
|
}, |
|
{ |
|
"epoch": 0.75, |
|
"learning_rate": 4.058731258148632e-06, |
|
"loss": 0.5634, |
|
"step": 18500 |
|
}, |
|
{ |
|
"epoch": 0.77, |
|
"learning_rate": 4.033266786179922e-06, |
|
"loss": 0.5767, |
|
"step": 19000 |
|
}, |
|
{ |
|
"epoch": 0.79, |
|
"learning_rate": 4.0078023142112124e-06, |
|
"loss": 0.5757, |
|
"step": 19500 |
|
}, |
|
{ |
|
"epoch": 0.81, |
|
"learning_rate": 3.982337842242504e-06, |
|
"loss": 0.5549, |
|
"step": 20000 |
|
}, |
|
{ |
|
"epoch": 0.81, |
|
"eval_accuracy": 0.7738955823293173, |
|
"eval_loss": 0.5731613039970398, |
|
"eval_runtime": 3.1136, |
|
"eval_samples_per_second": 799.722, |
|
"eval_steps_per_second": 50.103, |
|
"step": 20000 |
|
}, |
|
{ |
|
"epoch": 0.84, |
|
"learning_rate": 3.956873370273794e-06, |
|
"loss": 0.5704, |
|
"step": 20500 |
|
}, |
|
{ |
|
"epoch": 0.86, |
|
"learning_rate": 3.931408898305085e-06, |
|
"loss": 0.5668, |
|
"step": 21000 |
|
}, |
|
{ |
|
"epoch": 0.88, |
|
"learning_rate": 3.9059444263363764e-06, |
|
"loss": 0.5523, |
|
"step": 21500 |
|
}, |
|
{ |
|
"epoch": 0.9, |
|
"learning_rate": 3.880479954367666e-06, |
|
"loss": 0.5651, |
|
"step": 22000 |
|
}, |
|
{ |
|
"epoch": 0.9, |
|
"eval_accuracy": 0.7887550200803213, |
|
"eval_loss": 0.5458173751831055, |
|
"eval_runtime": 3.1133, |
|
"eval_samples_per_second": 799.785, |
|
"eval_steps_per_second": 50.107, |
|
"step": 22000 |
|
}, |
|
{ |
|
"epoch": 0.92, |
|
"learning_rate": 3.855015482398957e-06, |
|
"loss": 0.5582, |
|
"step": 22500 |
|
}, |
|
{ |
|
"epoch": 0.94, |
|
"learning_rate": 3.829551010430248e-06, |
|
"loss": 0.5567, |
|
"step": 23000 |
|
}, |
|
{ |
|
"epoch": 0.96, |
|
"learning_rate": 3.8040865384615387e-06, |
|
"loss": 0.5505, |
|
"step": 23500 |
|
}, |
|
{ |
|
"epoch": 0.98, |
|
"learning_rate": 3.7786220664928295e-06, |
|
"loss": 0.561, |
|
"step": 24000 |
|
}, |
|
{ |
|
"epoch": 0.98, |
|
"eval_accuracy": 0.7859437751004016, |
|
"eval_loss": 0.5578823089599609, |
|
"eval_runtime": 3.1003, |
|
"eval_samples_per_second": 803.157, |
|
"eval_steps_per_second": 50.318, |
|
"step": 24000 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"learning_rate": 3.75315759452412e-06, |
|
"loss": 0.559, |
|
"step": 24500 |
|
}, |
|
{ |
|
"epoch": 1.02, |
|
"learning_rate": 3.7276931225554107e-06, |
|
"loss": 0.5078, |
|
"step": 25000 |
|
}, |
|
{ |
|
"epoch": 1.04, |
|
"learning_rate": 3.702228650586702e-06, |
|
"loss": 0.5162, |
|
"step": 25500 |
|
}, |
|
{ |
|
"epoch": 1.06, |
|
"learning_rate": 3.6767641786179927e-06, |
|
"loss": 0.5033, |
|
"step": 26000 |
|
}, |
|
{ |
|
"epoch": 1.06, |
|
"eval_accuracy": 0.7803212851405622, |
|
"eval_loss": 0.5404613614082336, |
|
"eval_runtime": 3.1086, |
|
"eval_samples_per_second": 801.01, |
|
"eval_steps_per_second": 50.184, |
|
"step": 26000 |
|
}, |
|
{ |
|
"epoch": 1.08, |
|
"learning_rate": 3.6512997066492834e-06, |
|
"loss": 0.5035, |
|
"step": 26500 |
|
}, |
|
{ |
|
"epoch": 1.1, |
|
"learning_rate": 3.6258352346805742e-06, |
|
"loss": 0.4876, |
|
"step": 27000 |
|
}, |
|
{ |
|
"epoch": 1.12, |
|
"learning_rate": 3.6003707627118646e-06, |
|
"loss": 0.5037, |
|
"step": 27500 |
|
}, |
|
{ |
|
"epoch": 1.14, |
|
"learning_rate": 3.5749062907431554e-06, |
|
"loss": 0.507, |
|
"step": 28000 |
|
}, |
|
{ |
|
"epoch": 1.14, |
|
"eval_accuracy": 0.7867469879518072, |
|
"eval_loss": 0.5373629331588745, |
|
"eval_runtime": 3.1109, |
|
"eval_samples_per_second": 800.404, |
|
"eval_steps_per_second": 50.146, |
|
"step": 28000 |
|
}, |
|
{ |
|
"epoch": 1.16, |
|
"learning_rate": 3.549441818774446e-06, |
|
"loss": 0.5227, |
|
"step": 28500 |
|
}, |
|
{ |
|
"epoch": 1.18, |
|
"learning_rate": 3.523977346805737e-06, |
|
"loss": 0.5025, |
|
"step": 29000 |
|
}, |
|
{ |
|
"epoch": 1.2, |
|
"learning_rate": 3.4985128748370277e-06, |
|
"loss": 0.5202, |
|
"step": 29500 |
|
}, |
|
{ |
|
"epoch": 1.22, |
|
"learning_rate": 3.4730484028683185e-06, |
|
"loss": 0.5027, |
|
"step": 30000 |
|
}, |
|
{ |
|
"epoch": 1.22, |
|
"eval_accuracy": 0.7843373493975904, |
|
"eval_loss": 0.5514963865280151, |
|
"eval_runtime": 3.114, |
|
"eval_samples_per_second": 799.625, |
|
"eval_steps_per_second": 50.097, |
|
"step": 30000 |
|
}, |
|
{ |
|
"epoch": 1.24, |
|
"learning_rate": 3.4476348598435467e-06, |
|
"loss": 0.5052, |
|
"step": 30500 |
|
}, |
|
{ |
|
"epoch": 1.26, |
|
"learning_rate": 3.4221703878748375e-06, |
|
"loss": 0.4932, |
|
"step": 31000 |
|
}, |
|
{ |
|
"epoch": 1.28, |
|
"learning_rate": 3.3967059159061283e-06, |
|
"loss": 0.4916, |
|
"step": 31500 |
|
}, |
|
{ |
|
"epoch": 1.3, |
|
"learning_rate": 3.3712414439374187e-06, |
|
"loss": 0.5021, |
|
"step": 32000 |
|
}, |
|
{ |
|
"epoch": 1.3, |
|
"eval_accuracy": 0.793574297188755, |
|
"eval_loss": 0.5289486050605774, |
|
"eval_runtime": 3.1115, |
|
"eval_samples_per_second": 800.255, |
|
"eval_steps_per_second": 50.136, |
|
"step": 32000 |
|
}, |
|
{ |
|
"epoch": 1.32, |
|
"learning_rate": 3.3457769719687095e-06, |
|
"loss": 0.501, |
|
"step": 32500 |
|
}, |
|
{ |
|
"epoch": 1.34, |
|
"learning_rate": 3.3203125000000002e-06, |
|
"loss": 0.4921, |
|
"step": 33000 |
|
}, |
|
{ |
|
"epoch": 1.36, |
|
"learning_rate": 3.294848028031291e-06, |
|
"loss": 0.5051, |
|
"step": 33500 |
|
}, |
|
{ |
|
"epoch": 1.39, |
|
"learning_rate": 3.269383556062582e-06, |
|
"loss": 0.4895, |
|
"step": 34000 |
|
}, |
|
{ |
|
"epoch": 1.39, |
|
"eval_accuracy": 0.7923694779116466, |
|
"eval_loss": 0.5383234024047852, |
|
"eval_runtime": 3.1113, |
|
"eval_samples_per_second": 800.298, |
|
"eval_steps_per_second": 50.139, |
|
"step": 34000 |
|
}, |
|
{ |
|
"epoch": 1.41, |
|
"learning_rate": 3.243919084093872e-06, |
|
"loss": 0.49, |
|
"step": 34500 |
|
}, |
|
{ |
|
"epoch": 1.43, |
|
"learning_rate": 3.218454612125163e-06, |
|
"loss": 0.5014, |
|
"step": 35000 |
|
}, |
|
{ |
|
"epoch": 1.45, |
|
"learning_rate": 3.1930410691003916e-06, |
|
"loss": 0.4877, |
|
"step": 35500 |
|
}, |
|
{ |
|
"epoch": 1.47, |
|
"learning_rate": 3.167576597131682e-06, |
|
"loss": 0.4817, |
|
"step": 36000 |
|
}, |
|
{ |
|
"epoch": 1.47, |
|
"eval_accuracy": 0.7883534136546185, |
|
"eval_loss": 0.5456702709197998, |
|
"eval_runtime": 3.1157, |
|
"eval_samples_per_second": 799.189, |
|
"eval_steps_per_second": 50.07, |
|
"step": 36000 |
|
}, |
|
{ |
|
"epoch": 1.49, |
|
"learning_rate": 3.1421121251629727e-06, |
|
"loss": 0.4889, |
|
"step": 36500 |
|
}, |
|
{ |
|
"epoch": 1.51, |
|
"learning_rate": 3.1166476531942635e-06, |
|
"loss": 0.4928, |
|
"step": 37000 |
|
}, |
|
{ |
|
"epoch": 1.53, |
|
"learning_rate": 3.0911831812255543e-06, |
|
"loss": 0.492, |
|
"step": 37500 |
|
}, |
|
{ |
|
"epoch": 1.55, |
|
"learning_rate": 3.065718709256845e-06, |
|
"loss": 0.4958, |
|
"step": 38000 |
|
}, |
|
{ |
|
"epoch": 1.55, |
|
"eval_accuracy": 0.7983935742971887, |
|
"eval_loss": 0.5244956612586975, |
|
"eval_runtime": 3.1141, |
|
"eval_samples_per_second": 799.583, |
|
"eval_steps_per_second": 50.094, |
|
"step": 38000 |
|
}, |
|
{ |
|
"epoch": 1.57, |
|
"learning_rate": 3.040254237288136e-06, |
|
"loss": 0.494, |
|
"step": 38500 |
|
}, |
|
{ |
|
"epoch": 1.59, |
|
"learning_rate": 3.0147897653194262e-06, |
|
"loss": 0.4876, |
|
"step": 39000 |
|
}, |
|
{ |
|
"epoch": 1.61, |
|
"learning_rate": 2.989376222294655e-06, |
|
"loss": 0.4983, |
|
"step": 39500 |
|
}, |
|
{ |
|
"epoch": 1.63, |
|
"learning_rate": 2.9639626792698826e-06, |
|
"loss": 0.4993, |
|
"step": 40000 |
|
}, |
|
{ |
|
"epoch": 1.63, |
|
"eval_accuracy": 0.7931726907630522, |
|
"eval_loss": 0.5367791652679443, |
|
"eval_runtime": 3.1071, |
|
"eval_samples_per_second": 801.396, |
|
"eval_steps_per_second": 50.208, |
|
"step": 40000 |
|
}, |
|
{ |
|
"epoch": 1.65, |
|
"learning_rate": 2.9384982073011734e-06, |
|
"loss": 0.4879, |
|
"step": 40500 |
|
}, |
|
{ |
|
"epoch": 1.67, |
|
"learning_rate": 2.9130337353324646e-06, |
|
"loss": 0.4942, |
|
"step": 41000 |
|
}, |
|
{ |
|
"epoch": 1.69, |
|
"learning_rate": 2.8875692633637554e-06, |
|
"loss": 0.4895, |
|
"step": 41500 |
|
}, |
|
{ |
|
"epoch": 1.71, |
|
"learning_rate": 2.862104791395046e-06, |
|
"loss": 0.4861, |
|
"step": 42000 |
|
}, |
|
{ |
|
"epoch": 1.71, |
|
"eval_accuracy": 0.7967871485943775, |
|
"eval_loss": 0.5284856557846069, |
|
"eval_runtime": 3.0957, |
|
"eval_samples_per_second": 804.354, |
|
"eval_steps_per_second": 50.393, |
|
"step": 42000 |
|
}, |
|
{ |
|
"epoch": 1.73, |
|
"learning_rate": 2.8366403194263366e-06, |
|
"loss": 0.4936, |
|
"step": 42500 |
|
}, |
|
{ |
|
"epoch": 1.75, |
|
"learning_rate": 2.8111758474576274e-06, |
|
"loss": 0.4782, |
|
"step": 43000 |
|
}, |
|
{ |
|
"epoch": 1.77, |
|
"learning_rate": 2.785711375488918e-06, |
|
"loss": 0.4857, |
|
"step": 43500 |
|
}, |
|
{ |
|
"epoch": 1.79, |
|
"learning_rate": 2.760297832464146e-06, |
|
"loss": 0.4865, |
|
"step": 44000 |
|
}, |
|
{ |
|
"epoch": 1.79, |
|
"eval_accuracy": 0.7967871485943775, |
|
"eval_loss": 0.5284005403518677, |
|
"eval_runtime": 3.1113, |
|
"eval_samples_per_second": 800.304, |
|
"eval_steps_per_second": 50.14, |
|
"step": 44000 |
|
}, |
|
{ |
|
"epoch": 1.81, |
|
"learning_rate": 2.7348333604954367e-06, |
|
"loss": 0.4913, |
|
"step": 44500 |
|
}, |
|
{ |
|
"epoch": 1.83, |
|
"learning_rate": 2.709368888526728e-06, |
|
"loss": 0.4899, |
|
"step": 45000 |
|
}, |
|
{ |
|
"epoch": 1.85, |
|
"learning_rate": 2.6839044165580187e-06, |
|
"loss": 0.4872, |
|
"step": 45500 |
|
}, |
|
{ |
|
"epoch": 1.87, |
|
"learning_rate": 2.6584399445893095e-06, |
|
"loss": 0.4827, |
|
"step": 46000 |
|
}, |
|
{ |
|
"epoch": 1.87, |
|
"eval_accuracy": 0.7927710843373494, |
|
"eval_loss": 0.5268122553825378, |
|
"eval_runtime": 3.1094, |
|
"eval_samples_per_second": 800.807, |
|
"eval_steps_per_second": 50.171, |
|
"step": 46000 |
|
}, |
|
{ |
|
"epoch": 1.89, |
|
"learning_rate": 2.6330264015645373e-06, |
|
"loss": 0.4844, |
|
"step": 46500 |
|
}, |
|
{ |
|
"epoch": 1.91, |
|
"learning_rate": 2.607561929595828e-06, |
|
"loss": 0.4803, |
|
"step": 47000 |
|
}, |
|
{ |
|
"epoch": 1.94, |
|
"learning_rate": 2.582097457627119e-06, |
|
"loss": 0.4863, |
|
"step": 47500 |
|
}, |
|
{ |
|
"epoch": 1.96, |
|
"learning_rate": 2.556632985658409e-06, |
|
"loss": 0.4706, |
|
"step": 48000 |
|
}, |
|
{ |
|
"epoch": 1.96, |
|
"eval_accuracy": 0.7963855421686747, |
|
"eval_loss": 0.5178616046905518, |
|
"eval_runtime": 3.1089, |
|
"eval_samples_per_second": 800.919, |
|
"eval_steps_per_second": 50.178, |
|
"step": 48000 |
|
}, |
|
{ |
|
"epoch": 1.98, |
|
"learning_rate": 2.5311685136897e-06, |
|
"loss": 0.4921, |
|
"step": 48500 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"learning_rate": 2.5057549706649286e-06, |
|
"loss": 0.4877, |
|
"step": 49000 |
|
}, |
|
{ |
|
"epoch": 2.02, |
|
"learning_rate": 2.4802904986962194e-06, |
|
"loss": 0.4357, |
|
"step": 49500 |
|
}, |
|
{ |
|
"epoch": 2.04, |
|
"learning_rate": 2.45482602672751e-06, |
|
"loss": 0.4374, |
|
"step": 50000 |
|
}, |
|
{ |
|
"epoch": 2.04, |
|
"eval_accuracy": 0.7995983935742972, |
|
"eval_loss": 0.5278629064559937, |
|
"eval_runtime": 3.1508, |
|
"eval_samples_per_second": 790.269, |
|
"eval_steps_per_second": 49.511, |
|
"step": 50000 |
|
}, |
|
{ |
|
"epoch": 2.06, |
|
"learning_rate": 2.4293615547588006e-06, |
|
"loss": 0.418, |
|
"step": 50500 |
|
}, |
|
{ |
|
"epoch": 2.08, |
|
"learning_rate": 2.4038970827900913e-06, |
|
"loss": 0.4102, |
|
"step": 51000 |
|
}, |
|
{ |
|
"epoch": 2.1, |
|
"learning_rate": 2.3784835397653195e-06, |
|
"loss": 0.4268, |
|
"step": 51500 |
|
}, |
|
{ |
|
"epoch": 2.12, |
|
"learning_rate": 2.3530190677966103e-06, |
|
"loss": 0.4238, |
|
"step": 52000 |
|
}, |
|
{ |
|
"epoch": 2.12, |
|
"eval_accuracy": 0.7911646586345381, |
|
"eval_loss": 0.5376625061035156, |
|
"eval_runtime": 3.1036, |
|
"eval_samples_per_second": 802.307, |
|
"eval_steps_per_second": 50.265, |
|
"step": 52000 |
|
}, |
|
{ |
|
"epoch": 2.14, |
|
"learning_rate": 2.327554595827901e-06, |
|
"loss": 0.419, |
|
"step": 52500 |
|
}, |
|
{ |
|
"epoch": 2.16, |
|
"learning_rate": 2.302090123859192e-06, |
|
"loss": 0.4006, |
|
"step": 53000 |
|
}, |
|
{ |
|
"epoch": 2.18, |
|
"learning_rate": 2.2766765808344197e-06, |
|
"loss": 0.4142, |
|
"step": 53500 |
|
}, |
|
{ |
|
"epoch": 2.2, |
|
"learning_rate": 2.251212108865711e-06, |
|
"loss": 0.4128, |
|
"step": 54000 |
|
}, |
|
{ |
|
"epoch": 2.2, |
|
"eval_accuracy": 0.7971887550200804, |
|
"eval_loss": 0.5341054797172546, |
|
"eval_runtime": 3.1779, |
|
"eval_samples_per_second": 783.533, |
|
"eval_steps_per_second": 49.089, |
|
"step": 54000 |
|
}, |
|
{ |
|
"epoch": 2.22, |
|
"learning_rate": 2.2257476368970017e-06, |
|
"loss": 0.4169, |
|
"step": 54500 |
|
}, |
|
{ |
|
"epoch": 2.24, |
|
"learning_rate": 2.200283164928292e-06, |
|
"loss": 0.4219, |
|
"step": 55000 |
|
}, |
|
{ |
|
"epoch": 2.26, |
|
"learning_rate": 2.174818692959583e-06, |
|
"loss": 0.3998, |
|
"step": 55500 |
|
}, |
|
{ |
|
"epoch": 2.28, |
|
"learning_rate": 2.149405149934811e-06, |
|
"loss": 0.4079, |
|
"step": 56000 |
|
}, |
|
{ |
|
"epoch": 2.28, |
|
"eval_accuracy": 0.8036144578313253, |
|
"eval_loss": 0.53012615442276, |
|
"eval_runtime": 3.1161, |
|
"eval_samples_per_second": 799.075, |
|
"eval_steps_per_second": 50.063, |
|
"step": 56000 |
|
}, |
|
{ |
|
"epoch": 2.3, |
|
"learning_rate": 2.123940677966102e-06, |
|
"loss": 0.4139, |
|
"step": 56500 |
|
}, |
|
{ |
|
"epoch": 2.32, |
|
"learning_rate": 2.0984762059973926e-06, |
|
"loss": 0.4117, |
|
"step": 57000 |
|
}, |
|
{ |
|
"epoch": 2.34, |
|
"learning_rate": 2.0730117340286834e-06, |
|
"loss": 0.4144, |
|
"step": 57500 |
|
}, |
|
{ |
|
"epoch": 2.36, |
|
"learning_rate": 2.0475981910039116e-06, |
|
"loss": 0.4219, |
|
"step": 58000 |
|
}, |
|
{ |
|
"epoch": 2.36, |
|
"eval_accuracy": 0.8, |
|
"eval_loss": 0.5489892363548279, |
|
"eval_runtime": 3.1097, |
|
"eval_samples_per_second": 800.724, |
|
"eval_steps_per_second": 50.166, |
|
"step": 58000 |
|
}, |
|
{ |
|
"epoch": 2.38, |
|
"learning_rate": 2.0221337190352024e-06, |
|
"loss": 0.4231, |
|
"step": 58500 |
|
}, |
|
{ |
|
"epoch": 2.4, |
|
"learning_rate": 1.996669247066493e-06, |
|
"loss": 0.4054, |
|
"step": 59000 |
|
}, |
|
{ |
|
"epoch": 2.42, |
|
"learning_rate": 1.9712047750977835e-06, |
|
"loss": 0.4166, |
|
"step": 59500 |
|
}, |
|
{ |
|
"epoch": 2.44, |
|
"learning_rate": 1.9457912320730117e-06, |
|
"loss": 0.3995, |
|
"step": 60000 |
|
}, |
|
{ |
|
"epoch": 2.44, |
|
"eval_accuracy": 0.8028112449799196, |
|
"eval_loss": 0.5354592204093933, |
|
"eval_runtime": 3.1379, |
|
"eval_samples_per_second": 793.526, |
|
"eval_steps_per_second": 49.715, |
|
"step": 60000 |
|
}, |
|
{ |
|
"epoch": 2.46, |
|
"learning_rate": 1.9203267601043025e-06, |
|
"loss": 0.4244, |
|
"step": 60500 |
|
}, |
|
{ |
|
"epoch": 2.49, |
|
"learning_rate": 1.8948622881355933e-06, |
|
"loss": 0.412, |
|
"step": 61000 |
|
}, |
|
{ |
|
"epoch": 2.51, |
|
"learning_rate": 1.869397816166884e-06, |
|
"loss": 0.4108, |
|
"step": 61500 |
|
}, |
|
{ |
|
"epoch": 2.53, |
|
"learning_rate": 1.8439333441981749e-06, |
|
"loss": 0.4181, |
|
"step": 62000 |
|
}, |
|
{ |
|
"epoch": 2.53, |
|
"eval_accuracy": 0.802008032128514, |
|
"eval_loss": 0.5300112366676331, |
|
"eval_runtime": 3.1096, |
|
"eval_samples_per_second": 800.752, |
|
"eval_steps_per_second": 50.168, |
|
"step": 62000 |
|
}, |
|
{ |
|
"epoch": 2.55, |
|
"learning_rate": 1.8184688722294654e-06, |
|
"loss": 0.4081, |
|
"step": 62500 |
|
}, |
|
{ |
|
"epoch": 2.57, |
|
"learning_rate": 1.7930044002607562e-06, |
|
"loss": 0.4048, |
|
"step": 63000 |
|
}, |
|
{ |
|
"epoch": 2.59, |
|
"learning_rate": 1.7675399282920472e-06, |
|
"loss": 0.429, |
|
"step": 63500 |
|
}, |
|
{ |
|
"epoch": 2.61, |
|
"learning_rate": 1.7420754563233378e-06, |
|
"loss": 0.4179, |
|
"step": 64000 |
|
}, |
|
{ |
|
"epoch": 2.61, |
|
"eval_accuracy": 0.7963855421686747, |
|
"eval_loss": 0.5444837212562561, |
|
"eval_runtime": 3.1167, |
|
"eval_samples_per_second": 798.922, |
|
"eval_steps_per_second": 50.053, |
|
"step": 64000 |
|
}, |
|
{ |
|
"epoch": 2.63, |
|
"learning_rate": 1.7166109843546286e-06, |
|
"loss": 0.4114, |
|
"step": 64500 |
|
}, |
|
{ |
|
"epoch": 2.65, |
|
"learning_rate": 1.6911465123859194e-06, |
|
"loss": 0.407, |
|
"step": 65000 |
|
}, |
|
{ |
|
"epoch": 2.67, |
|
"learning_rate": 1.66568204041721e-06, |
|
"loss": 0.4128, |
|
"step": 65500 |
|
}, |
|
{ |
|
"epoch": 2.69, |
|
"learning_rate": 1.6402684973924382e-06, |
|
"loss": 0.4085, |
|
"step": 66000 |
|
}, |
|
{ |
|
"epoch": 2.69, |
|
"eval_accuracy": 0.795582329317269, |
|
"eval_loss": 0.5385735034942627, |
|
"eval_runtime": 3.1063, |
|
"eval_samples_per_second": 801.601, |
|
"eval_steps_per_second": 50.221, |
|
"step": 66000 |
|
}, |
|
{ |
|
"epoch": 2.71, |
|
"learning_rate": 1.6148040254237292e-06, |
|
"loss": 0.4036, |
|
"step": 66500 |
|
}, |
|
{ |
|
"epoch": 2.73, |
|
"learning_rate": 1.5893395534550195e-06, |
|
"loss": 0.4169, |
|
"step": 67000 |
|
}, |
|
{ |
|
"epoch": 2.75, |
|
"learning_rate": 1.5638750814863105e-06, |
|
"loss": 0.4301, |
|
"step": 67500 |
|
}, |
|
{ |
|
"epoch": 2.77, |
|
"learning_rate": 1.5384106095176013e-06, |
|
"loss": 0.4183, |
|
"step": 68000 |
|
}, |
|
{ |
|
"epoch": 2.77, |
|
"eval_accuracy": 0.8004016064257028, |
|
"eval_loss": 0.5275784730911255, |
|
"eval_runtime": 3.1078, |
|
"eval_samples_per_second": 801.199, |
|
"eval_steps_per_second": 50.196, |
|
"step": 68000 |
|
}, |
|
{ |
|
"epoch": 2.79, |
|
"learning_rate": 1.5129970664928293e-06, |
|
"loss": 0.4114, |
|
"step": 68500 |
|
}, |
|
{ |
|
"epoch": 2.81, |
|
"learning_rate": 1.48753259452412e-06, |
|
"loss": 0.4236, |
|
"step": 69000 |
|
}, |
|
{ |
|
"epoch": 2.83, |
|
"learning_rate": 1.4620681225554109e-06, |
|
"loss": 0.4179, |
|
"step": 69500 |
|
}, |
|
{ |
|
"epoch": 2.85, |
|
"learning_rate": 1.4366036505867014e-06, |
|
"loss": 0.4132, |
|
"step": 70000 |
|
}, |
|
{ |
|
"epoch": 2.85, |
|
"eval_accuracy": 0.7963855421686747, |
|
"eval_loss": 0.5376485586166382, |
|
"eval_runtime": 3.1089, |
|
"eval_samples_per_second": 800.921, |
|
"eval_steps_per_second": 50.178, |
|
"step": 70000 |
|
}, |
|
{ |
|
"epoch": 2.87, |
|
"learning_rate": 1.4111901075619296e-06, |
|
"loss": 0.4183, |
|
"step": 70500 |
|
}, |
|
{ |
|
"epoch": 2.89, |
|
"learning_rate": 1.3857765645371578e-06, |
|
"loss": 0.409, |
|
"step": 71000 |
|
}, |
|
{ |
|
"epoch": 2.91, |
|
"learning_rate": 1.3603120925684484e-06, |
|
"loss": 0.4113, |
|
"step": 71500 |
|
}, |
|
{ |
|
"epoch": 2.93, |
|
"learning_rate": 1.3348476205997394e-06, |
|
"loss": 0.4031, |
|
"step": 72000 |
|
}, |
|
{ |
|
"epoch": 2.93, |
|
"eval_accuracy": 0.7987951807228916, |
|
"eval_loss": 0.5440085530281067, |
|
"eval_runtime": 3.1049, |
|
"eval_samples_per_second": 801.949, |
|
"eval_steps_per_second": 50.243, |
|
"step": 72000 |
|
}, |
|
{ |
|
"epoch": 2.95, |
|
"learning_rate": 1.3093831486310302e-06, |
|
"loss": 0.4153, |
|
"step": 72500 |
|
}, |
|
{ |
|
"epoch": 2.97, |
|
"learning_rate": 1.2839186766623208e-06, |
|
"loss": 0.4092, |
|
"step": 73000 |
|
}, |
|
{ |
|
"epoch": 2.99, |
|
"learning_rate": 1.2584542046936116e-06, |
|
"loss": 0.4223, |
|
"step": 73500 |
|
}, |
|
{ |
|
"epoch": 3.01, |
|
"learning_rate": 1.2329897327249023e-06, |
|
"loss": 0.3561, |
|
"step": 74000 |
|
}, |
|
{ |
|
"epoch": 3.01, |
|
"eval_accuracy": 0.8032128514056225, |
|
"eval_loss": 0.5515400171279907, |
|
"eval_runtime": 3.1138, |
|
"eval_samples_per_second": 799.666, |
|
"eval_steps_per_second": 50.1, |
|
"step": 74000 |
|
}, |
|
{ |
|
"epoch": 3.04, |
|
"learning_rate": 1.2075252607561931e-06, |
|
"loss": 0.3444, |
|
"step": 74500 |
|
}, |
|
{ |
|
"epoch": 3.06, |
|
"learning_rate": 1.1821117177314211e-06, |
|
"loss": 0.3447, |
|
"step": 75000 |
|
}, |
|
{ |
|
"epoch": 3.08, |
|
"learning_rate": 1.156647245762712e-06, |
|
"loss": 0.3572, |
|
"step": 75500 |
|
}, |
|
{ |
|
"epoch": 3.1, |
|
"learning_rate": 1.1311827737940027e-06, |
|
"loss": 0.3453, |
|
"step": 76000 |
|
}, |
|
{ |
|
"epoch": 3.1, |
|
"eval_accuracy": 0.8036144578313253, |
|
"eval_loss": 0.562953770160675, |
|
"eval_runtime": 3.1189, |
|
"eval_samples_per_second": 798.371, |
|
"eval_steps_per_second": 50.018, |
|
"step": 76000 |
|
}, |
|
{ |
|
"epoch": 3.12, |
|
"learning_rate": 1.1057183018252935e-06, |
|
"loss": 0.353, |
|
"step": 76500 |
|
}, |
|
{ |
|
"epoch": 3.14, |
|
"learning_rate": 1.0803047588005217e-06, |
|
"loss": 0.3489, |
|
"step": 77000 |
|
}, |
|
{ |
|
"epoch": 3.16, |
|
"learning_rate": 1.0548402868318123e-06, |
|
"loss": 0.3487, |
|
"step": 77500 |
|
}, |
|
{ |
|
"epoch": 3.18, |
|
"learning_rate": 1.029375814863103e-06, |
|
"loss": 0.3625, |
|
"step": 78000 |
|
}, |
|
{ |
|
"epoch": 3.18, |
|
"eval_accuracy": 0.8012048192771084, |
|
"eval_loss": 0.5594542026519775, |
|
"eval_runtime": 3.1009, |
|
"eval_samples_per_second": 802.99, |
|
"eval_steps_per_second": 50.308, |
|
"step": 78000 |
|
}, |
|
{ |
|
"epoch": 3.2, |
|
"learning_rate": 1.0039113428943938e-06, |
|
"loss": 0.3522, |
|
"step": 78500 |
|
}, |
|
{ |
|
"epoch": 3.22, |
|
"learning_rate": 9.784468709256846e-07, |
|
"loss": 0.3526, |
|
"step": 79000 |
|
}, |
|
{ |
|
"epoch": 3.24, |
|
"learning_rate": 9.530333279009127e-07, |
|
"loss": 0.3463, |
|
"step": 79500 |
|
}, |
|
{ |
|
"epoch": 3.26, |
|
"learning_rate": 9.275688559322035e-07, |
|
"loss": 0.3483, |
|
"step": 80000 |
|
}, |
|
{ |
|
"epoch": 3.26, |
|
"eval_accuracy": 0.8024096385542169, |
|
"eval_loss": 0.5727831125259399, |
|
"eval_runtime": 3.1106, |
|
"eval_samples_per_second": 800.501, |
|
"eval_steps_per_second": 50.152, |
|
"step": 80000 |
|
}, |
|
{ |
|
"epoch": 3.28, |
|
"learning_rate": 9.021043839634942e-07, |
|
"loss": 0.3614, |
|
"step": 80500 |
|
}, |
|
{ |
|
"epoch": 3.3, |
|
"learning_rate": 8.76639911994785e-07, |
|
"loss": 0.3464, |
|
"step": 81000 |
|
}, |
|
{ |
|
"epoch": 3.32, |
|
"learning_rate": 8.511754400260756e-07, |
|
"loss": 0.3534, |
|
"step": 81500 |
|
}, |
|
{ |
|
"epoch": 3.34, |
|
"learning_rate": 8.257618970013039e-07, |
|
"loss": 0.3452, |
|
"step": 82000 |
|
}, |
|
{ |
|
"epoch": 3.34, |
|
"eval_accuracy": 0.8032128514056225, |
|
"eval_loss": 0.5750517845153809, |
|
"eval_runtime": 3.0909, |
|
"eval_samples_per_second": 805.579, |
|
"eval_steps_per_second": 50.47, |
|
"step": 82000 |
|
}, |
|
{ |
|
"epoch": 3.36, |
|
"learning_rate": 8.002974250325945e-07, |
|
"loss": 0.3399, |
|
"step": 82500 |
|
}, |
|
{ |
|
"epoch": 3.38, |
|
"learning_rate": 7.748329530638854e-07, |
|
"loss": 0.3474, |
|
"step": 83000 |
|
}, |
|
{ |
|
"epoch": 3.4, |
|
"learning_rate": 7.493684810951761e-07, |
|
"loss": 0.3629, |
|
"step": 83500 |
|
}, |
|
{ |
|
"epoch": 3.42, |
|
"learning_rate": 7.239040091264668e-07, |
|
"loss": 0.3481, |
|
"step": 84000 |
|
}, |
|
{ |
|
"epoch": 3.42, |
|
"eval_accuracy": 0.7975903614457831, |
|
"eval_loss": 0.5842192769050598, |
|
"eval_runtime": 3.1136, |
|
"eval_samples_per_second": 799.707, |
|
"eval_steps_per_second": 50.102, |
|
"step": 84000 |
|
}, |
|
{ |
|
"epoch": 3.44, |
|
"learning_rate": 6.984395371577575e-07, |
|
"loss": 0.347, |
|
"step": 84500 |
|
}, |
|
{ |
|
"epoch": 3.46, |
|
"learning_rate": 6.729750651890484e-07, |
|
"loss": 0.3659, |
|
"step": 85000 |
|
}, |
|
{ |
|
"epoch": 3.48, |
|
"learning_rate": 6.47510593220339e-07, |
|
"loss": 0.3414, |
|
"step": 85500 |
|
}, |
|
{ |
|
"epoch": 3.5, |
|
"learning_rate": 6.220970501955672e-07, |
|
"loss": 0.3526, |
|
"step": 86000 |
|
}, |
|
{ |
|
"epoch": 3.5, |
|
"eval_accuracy": 0.7983935742971887, |
|
"eval_loss": 0.580718994140625, |
|
"eval_runtime": 3.0922, |
|
"eval_samples_per_second": 805.245, |
|
"eval_steps_per_second": 50.449, |
|
"step": 86000 |
|
}, |
|
{ |
|
"epoch": 3.52, |
|
"learning_rate": 5.966325782268579e-07, |
|
"loss": 0.3502, |
|
"step": 86500 |
|
}, |
|
{ |
|
"epoch": 3.54, |
|
"learning_rate": 5.712190352020861e-07, |
|
"loss": 0.3522, |
|
"step": 87000 |
|
}, |
|
{ |
|
"epoch": 3.57, |
|
"learning_rate": 5.457545632333768e-07, |
|
"loss": 0.3451, |
|
"step": 87500 |
|
}, |
|
{ |
|
"epoch": 3.59, |
|
"learning_rate": 5.202900912646676e-07, |
|
"loss": 0.3513, |
|
"step": 88000 |
|
}, |
|
{ |
|
"epoch": 3.59, |
|
"eval_accuracy": 0.8016064257028113, |
|
"eval_loss": 0.5780753493309021, |
|
"eval_runtime": 3.1077, |
|
"eval_samples_per_second": 801.223, |
|
"eval_steps_per_second": 50.197, |
|
"step": 88000 |
|
}, |
|
{ |
|
"epoch": 3.61, |
|
"learning_rate": 4.948256192959583e-07, |
|
"loss": 0.3386, |
|
"step": 88500 |
|
}, |
|
{ |
|
"epoch": 3.63, |
|
"learning_rate": 4.6936114732724906e-07, |
|
"loss": 0.3465, |
|
"step": 89000 |
|
}, |
|
{ |
|
"epoch": 3.65, |
|
"learning_rate": 4.4389667535853984e-07, |
|
"loss": 0.3474, |
|
"step": 89500 |
|
}, |
|
{ |
|
"epoch": 3.67, |
|
"learning_rate": 4.184322033898305e-07, |
|
"loss": 0.3288, |
|
"step": 90000 |
|
}, |
|
{ |
|
"epoch": 3.67, |
|
"eval_accuracy": 0.8008032128514057, |
|
"eval_loss": 0.5857793688774109, |
|
"eval_runtime": 3.11, |
|
"eval_samples_per_second": 800.647, |
|
"eval_steps_per_second": 50.161, |
|
"step": 90000 |
|
}, |
|
{ |
|
"epoch": 3.69, |
|
"learning_rate": 3.9306958930899614e-07, |
|
"loss": 0.3444, |
|
"step": 90500 |
|
}, |
|
{ |
|
"epoch": 3.71, |
|
"learning_rate": 3.676051173402868e-07, |
|
"loss": 0.3373, |
|
"step": 91000 |
|
}, |
|
{ |
|
"epoch": 3.73, |
|
"learning_rate": 3.421406453715776e-07, |
|
"loss": 0.3512, |
|
"step": 91500 |
|
}, |
|
{ |
|
"epoch": 3.75, |
|
"learning_rate": 3.166761734028683e-07, |
|
"loss": 0.3599, |
|
"step": 92000 |
|
}, |
|
{ |
|
"epoch": 3.75, |
|
"eval_accuracy": 0.8016064257028113, |
|
"eval_loss": 0.5658962726593018, |
|
"eval_runtime": 3.112, |
|
"eval_samples_per_second": 800.117, |
|
"eval_steps_per_second": 50.128, |
|
"step": 92000 |
|
}, |
|
{ |
|
"epoch": 3.77, |
|
"learning_rate": 2.9121170143415907e-07, |
|
"loss": 0.3535, |
|
"step": 92500 |
|
}, |
|
{ |
|
"epoch": 3.79, |
|
"learning_rate": 2.657472294654498e-07, |
|
"loss": 0.3404, |
|
"step": 93000 |
|
}, |
|
{ |
|
"epoch": 3.81, |
|
"learning_rate": 2.4028275749674054e-07, |
|
"loss": 0.3452, |
|
"step": 93500 |
|
}, |
|
{ |
|
"epoch": 3.83, |
|
"learning_rate": 2.148182855280313e-07, |
|
"loss": 0.3419, |
|
"step": 94000 |
|
}, |
|
{ |
|
"epoch": 3.83, |
|
"eval_accuracy": 0.8032128514056225, |
|
"eval_loss": 0.575123131275177, |
|
"eval_runtime": 3.1066, |
|
"eval_samples_per_second": 801.524, |
|
"eval_steps_per_second": 50.216, |
|
"step": 94000 |
|
}, |
|
{ |
|
"epoch": 3.85, |
|
"learning_rate": 1.8935381355932206e-07, |
|
"loss": 0.3518, |
|
"step": 94500 |
|
}, |
|
{ |
|
"epoch": 3.87, |
|
"learning_rate": 1.638893415906128e-07, |
|
"loss": 0.3444, |
|
"step": 95000 |
|
}, |
|
{ |
|
"epoch": 3.89, |
|
"learning_rate": 1.3842486962190353e-07, |
|
"loss": 0.3422, |
|
"step": 95500 |
|
}, |
|
{ |
|
"epoch": 3.91, |
|
"learning_rate": 1.1296039765319427e-07, |
|
"loss": 0.3502, |
|
"step": 96000 |
|
}, |
|
{ |
|
"epoch": 3.91, |
|
"eval_accuracy": 0.8036144578313253, |
|
"eval_loss": 0.5685034394264221, |
|
"eval_runtime": 3.1416, |
|
"eval_samples_per_second": 792.595, |
|
"eval_steps_per_second": 49.657, |
|
"step": 96000 |
|
}, |
|
{ |
|
"epoch": 3.93, |
|
"learning_rate": 8.754685462842242e-08, |
|
"loss": 0.3373, |
|
"step": 96500 |
|
}, |
|
{ |
|
"epoch": 3.95, |
|
"learning_rate": 6.208238265971317e-08, |
|
"loss": 0.3587, |
|
"step": 97000 |
|
}, |
|
{ |
|
"epoch": 3.97, |
|
"learning_rate": 3.6617910691003915e-08, |
|
"loss": 0.3398, |
|
"step": 97500 |
|
}, |
|
{ |
|
"epoch": 3.99, |
|
"learning_rate": 1.1153438722294656e-08, |
|
"loss": 0.3443, |
|
"step": 98000 |
|
}, |
|
{ |
|
"epoch": 3.99, |
|
"eval_accuracy": 0.8016064257028113, |
|
"eval_loss": 0.5707261562347412, |
|
"eval_runtime": 3.1118, |
|
"eval_samples_per_second": 800.188, |
|
"eval_steps_per_second": 50.132, |
|
"step": 98000 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"step": 98176, |
|
"total_flos": 1.1341991182001568e+16, |
|
"train_loss": 0.4772139054466879, |
|
"train_runtime": 9899.244, |
|
"train_samples_per_second": 158.68, |
|
"train_steps_per_second": 9.918 |
|
} |
|
], |
|
"max_steps": 98176, |
|
"num_train_epochs": 4, |
|
"total_flos": 1.1341991182001568e+16, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|