|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 10.0, |
|
"eval_steps": 500, |
|
"global_step": 29280, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.17, |
|
"grad_norm": 1.1428395509719849, |
|
"learning_rate": 6.25e-05, |
|
"loss": 6.1643, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.34, |
|
"grad_norm": 0.8605946898460388, |
|
"learning_rate": 0.000125, |
|
"loss": 3.6177, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.51, |
|
"grad_norm": 1.0353199243545532, |
|
"learning_rate": 0.0001875, |
|
"loss": 3.3423, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 0.68, |
|
"grad_norm": 1.0619558095932007, |
|
"learning_rate": 0.00025, |
|
"loss": 3.174, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 0.85, |
|
"grad_norm": 0.8885842561721802, |
|
"learning_rate": 0.0003125, |
|
"loss": 3.0508, |
|
"step": 2500 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.4366703661040366, |
|
"eval_loss": 3.018024444580078, |
|
"eval_runtime": 3.3274, |
|
"eval_samples_per_second": 1349.7, |
|
"eval_steps_per_second": 10.819, |
|
"step": 2928 |
|
}, |
|
{ |
|
"epoch": 1.02, |
|
"grad_norm": 0.9355678558349609, |
|
"learning_rate": 0.000375, |
|
"loss": 2.9588, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 1.2, |
|
"grad_norm": 0.9893432259559631, |
|
"learning_rate": 0.00043750000000000006, |
|
"loss": 2.8647, |
|
"step": 3500 |
|
}, |
|
{ |
|
"epoch": 1.37, |
|
"grad_norm": 0.8901029229164124, |
|
"learning_rate": 0.0005, |
|
"loss": 2.8204, |
|
"step": 4000 |
|
}, |
|
{ |
|
"epoch": 1.54, |
|
"grad_norm": 0.8454930186271667, |
|
"learning_rate": 0.0005625000000000001, |
|
"loss": 2.7743, |
|
"step": 4500 |
|
}, |
|
{ |
|
"epoch": 1.71, |
|
"grad_norm": 0.7920435667037964, |
|
"learning_rate": 0.000625, |
|
"loss": 2.7475, |
|
"step": 5000 |
|
}, |
|
{ |
|
"epoch": 1.88, |
|
"grad_norm": 0.862263023853302, |
|
"learning_rate": 0.0006875, |
|
"loss": 2.7062, |
|
"step": 5500 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.45998208139814184, |
|
"eval_loss": 2.785717725753784, |
|
"eval_runtime": 3.419, |
|
"eval_samples_per_second": 1313.535, |
|
"eval_steps_per_second": 10.529, |
|
"step": 5856 |
|
}, |
|
{ |
|
"epoch": 2.05, |
|
"grad_norm": 0.8128435611724854, |
|
"learning_rate": 0.00075, |
|
"loss": 2.667, |
|
"step": 6000 |
|
}, |
|
{ |
|
"epoch": 2.22, |
|
"grad_norm": 0.7912793755531311, |
|
"learning_rate": 0.0008125, |
|
"loss": 2.6257, |
|
"step": 6500 |
|
}, |
|
{ |
|
"epoch": 2.39, |
|
"grad_norm": 0.7729538679122925, |
|
"learning_rate": 0.0008750000000000001, |
|
"loss": 2.622, |
|
"step": 7000 |
|
}, |
|
{ |
|
"epoch": 2.56, |
|
"grad_norm": 0.7662726640701294, |
|
"learning_rate": 0.0009375, |
|
"loss": 2.5976, |
|
"step": 7500 |
|
}, |
|
{ |
|
"epoch": 2.73, |
|
"grad_norm": 0.7259579300880432, |
|
"learning_rate": 0.001, |
|
"loss": 2.6013, |
|
"step": 8000 |
|
}, |
|
{ |
|
"epoch": 2.9, |
|
"grad_norm": 0.624014675617218, |
|
"learning_rate": 0.0010625, |
|
"loss": 2.5923, |
|
"step": 8500 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.470033680659657, |
|
"eval_loss": 2.690037488937378, |
|
"eval_runtime": 3.4246, |
|
"eval_samples_per_second": 1311.398, |
|
"eval_steps_per_second": 10.512, |
|
"step": 8784 |
|
}, |
|
{ |
|
"epoch": 3.07, |
|
"grad_norm": 0.6166909337043762, |
|
"learning_rate": 0.0011250000000000001, |
|
"loss": 2.545, |
|
"step": 9000 |
|
}, |
|
{ |
|
"epoch": 3.24, |
|
"grad_norm": 0.6117091774940491, |
|
"learning_rate": 0.0011875, |
|
"loss": 2.5121, |
|
"step": 9500 |
|
}, |
|
{ |
|
"epoch": 3.42, |
|
"grad_norm": 0.5614470839500427, |
|
"learning_rate": 0.00125, |
|
"loss": 2.5241, |
|
"step": 10000 |
|
}, |
|
{ |
|
"epoch": 3.59, |
|
"grad_norm": 0.5524864792823792, |
|
"learning_rate": 0.0013125, |
|
"loss": 2.5018, |
|
"step": 10500 |
|
}, |
|
{ |
|
"epoch": 3.76, |
|
"grad_norm": 0.488916277885437, |
|
"learning_rate": 0.001375, |
|
"loss": 2.5242, |
|
"step": 11000 |
|
}, |
|
{ |
|
"epoch": 3.93, |
|
"grad_norm": 0.49240800738334656, |
|
"learning_rate": 0.0014375000000000002, |
|
"loss": 2.5183, |
|
"step": 11500 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.4760229119656636, |
|
"eval_loss": 2.6405022144317627, |
|
"eval_runtime": 3.3846, |
|
"eval_samples_per_second": 1326.91, |
|
"eval_steps_per_second": 10.637, |
|
"step": 11712 |
|
}, |
|
{ |
|
"epoch": 4.1, |
|
"grad_norm": 0.4792906641960144, |
|
"learning_rate": 0.0015, |
|
"loss": 2.4636, |
|
"step": 12000 |
|
}, |
|
{ |
|
"epoch": 4.27, |
|
"grad_norm": 0.44715985655784607, |
|
"learning_rate": 0.0015625, |
|
"loss": 2.4505, |
|
"step": 12500 |
|
}, |
|
{ |
|
"epoch": 4.44, |
|
"grad_norm": 0.4706518054008484, |
|
"learning_rate": 0.001625, |
|
"loss": 2.4493, |
|
"step": 13000 |
|
}, |
|
{ |
|
"epoch": 4.61, |
|
"grad_norm": 0.4098159372806549, |
|
"learning_rate": 0.0016875, |
|
"loss": 2.4672, |
|
"step": 13500 |
|
}, |
|
{ |
|
"epoch": 4.78, |
|
"grad_norm": 0.4300088584423065, |
|
"learning_rate": 0.0017500000000000003, |
|
"loss": 2.4597, |
|
"step": 14000 |
|
}, |
|
{ |
|
"epoch": 4.95, |
|
"grad_norm": 0.4115521013736725, |
|
"learning_rate": 0.0018124999999999999, |
|
"loss": 2.4632, |
|
"step": 14500 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy": 0.4799397570293693, |
|
"eval_loss": 2.610959768295288, |
|
"eval_runtime": 3.4241, |
|
"eval_samples_per_second": 1311.574, |
|
"eval_steps_per_second": 10.514, |
|
"step": 14640 |
|
}, |
|
{ |
|
"epoch": 5.12, |
|
"grad_norm": 0.36413952708244324, |
|
"learning_rate": 0.001875, |
|
"loss": 2.4085, |
|
"step": 15000 |
|
}, |
|
{ |
|
"epoch": 5.29, |
|
"grad_norm": 0.4081680178642273, |
|
"learning_rate": 0.0019375000000000002, |
|
"loss": 2.408, |
|
"step": 15500 |
|
}, |
|
{ |
|
"epoch": 5.46, |
|
"grad_norm": 0.3759631812572479, |
|
"learning_rate": 0.002, |
|
"loss": 2.4168, |
|
"step": 16000 |
|
}, |
|
{ |
|
"epoch": 5.64, |
|
"grad_norm": 0.3406212627887726, |
|
"learning_rate": 0.0020625, |
|
"loss": 2.419, |
|
"step": 16500 |
|
}, |
|
{ |
|
"epoch": 5.81, |
|
"grad_norm": 0.3810693621635437, |
|
"learning_rate": 0.002125, |
|
"loss": 2.4227, |
|
"step": 17000 |
|
}, |
|
{ |
|
"epoch": 5.98, |
|
"grad_norm": 0.40893515944480896, |
|
"learning_rate": 0.0021874999999999998, |
|
"loss": 2.4241, |
|
"step": 17500 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_accuracy": 0.48350945109817184, |
|
"eval_loss": 2.5840396881103516, |
|
"eval_runtime": 3.3805, |
|
"eval_samples_per_second": 1328.515, |
|
"eval_steps_per_second": 10.649, |
|
"step": 17568 |
|
}, |
|
{ |
|
"epoch": 6.15, |
|
"grad_norm": 0.332253098487854, |
|
"learning_rate": 0.0022500000000000003, |
|
"loss": 2.3589, |
|
"step": 18000 |
|
}, |
|
{ |
|
"epoch": 6.32, |
|
"grad_norm": 0.3078455924987793, |
|
"learning_rate": 0.0023125000000000003, |
|
"loss": 2.3668, |
|
"step": 18500 |
|
}, |
|
{ |
|
"epoch": 6.49, |
|
"grad_norm": 0.3293627202510834, |
|
"learning_rate": 0.002375, |
|
"loss": 2.3857, |
|
"step": 19000 |
|
}, |
|
{ |
|
"epoch": 6.66, |
|
"grad_norm": 0.3553139567375183, |
|
"learning_rate": 0.0024375, |
|
"loss": 2.3861, |
|
"step": 19500 |
|
}, |
|
{ |
|
"epoch": 6.83, |
|
"grad_norm": 0.35184377431869507, |
|
"learning_rate": 0.0025, |
|
"loss": 2.3815, |
|
"step": 20000 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"eval_accuracy": 0.48506812399953014, |
|
"eval_loss": 2.572838306427002, |
|
"eval_runtime": 3.4336, |
|
"eval_samples_per_second": 1307.964, |
|
"eval_steps_per_second": 10.485, |
|
"step": 20496 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"grad_norm": 0.3210340440273285, |
|
"learning_rate": 0.0025625, |
|
"loss": 2.3912, |
|
"step": 20500 |
|
}, |
|
{ |
|
"epoch": 7.17, |
|
"grad_norm": 0.37861162424087524, |
|
"learning_rate": 0.002625, |
|
"loss": 2.315, |
|
"step": 21000 |
|
}, |
|
{ |
|
"epoch": 7.34, |
|
"grad_norm": 0.368950217962265, |
|
"learning_rate": 0.0026875000000000002, |
|
"loss": 2.3418, |
|
"step": 21500 |
|
}, |
|
{ |
|
"epoch": 7.51, |
|
"grad_norm": 0.3538954257965088, |
|
"learning_rate": 0.00275, |
|
"loss": 2.3559, |
|
"step": 22000 |
|
}, |
|
{ |
|
"epoch": 7.68, |
|
"grad_norm": 0.33648544549942017, |
|
"learning_rate": 0.0028125, |
|
"loss": 2.3544, |
|
"step": 22500 |
|
}, |
|
{ |
|
"epoch": 7.86, |
|
"grad_norm": 0.2958958148956299, |
|
"learning_rate": 0.0028750000000000004, |
|
"loss": 2.3595, |
|
"step": 23000 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"eval_accuracy": 0.48671446129354073, |
|
"eval_loss": 2.558120012283325, |
|
"eval_runtime": 3.4225, |
|
"eval_samples_per_second": 1312.192, |
|
"eval_steps_per_second": 10.519, |
|
"step": 23424 |
|
}, |
|
{ |
|
"epoch": 8.03, |
|
"grad_norm": 0.3472735285758972, |
|
"learning_rate": 0.0029375, |
|
"loss": 2.3436, |
|
"step": 23500 |
|
}, |
|
{ |
|
"epoch": 8.2, |
|
"grad_norm": 0.3491041660308838, |
|
"learning_rate": 0.003, |
|
"loss": 2.2902, |
|
"step": 24000 |
|
}, |
|
{ |
|
"epoch": 8.37, |
|
"grad_norm": 0.36862629652023315, |
|
"learning_rate": 0.002715909090909091, |
|
"loss": 2.301, |
|
"step": 24500 |
|
}, |
|
{ |
|
"epoch": 8.54, |
|
"grad_norm": 0.3976895809173584, |
|
"learning_rate": 0.0024318181818181817, |
|
"loss": 2.3072, |
|
"step": 25000 |
|
}, |
|
{ |
|
"epoch": 8.71, |
|
"grad_norm": 0.33942127227783203, |
|
"learning_rate": 0.002147727272727273, |
|
"loss": 2.2934, |
|
"step": 25500 |
|
}, |
|
{ |
|
"epoch": 8.88, |
|
"grad_norm": 0.3659175932407379, |
|
"learning_rate": 0.0018636363636363638, |
|
"loss": 2.2838, |
|
"step": 26000 |
|
}, |
|
{ |
|
"epoch": 9.0, |
|
"eval_accuracy": 0.49492686159721017, |
|
"eval_loss": 2.5014333724975586, |
|
"eval_runtime": 3.4108, |
|
"eval_samples_per_second": 1316.695, |
|
"eval_steps_per_second": 10.555, |
|
"step": 26352 |
|
}, |
|
{ |
|
"epoch": 9.05, |
|
"grad_norm": 0.3276906907558441, |
|
"learning_rate": 0.0015795454545454546, |
|
"loss": 2.2536, |
|
"step": 26500 |
|
}, |
|
{ |
|
"epoch": 9.22, |
|
"grad_norm": 0.29987043142318726, |
|
"learning_rate": 0.0012954545454545456, |
|
"loss": 2.1713, |
|
"step": 27000 |
|
}, |
|
{ |
|
"epoch": 9.39, |
|
"grad_norm": 0.29404929280281067, |
|
"learning_rate": 0.0010113636363636364, |
|
"loss": 2.1643, |
|
"step": 27500 |
|
}, |
|
{ |
|
"epoch": 9.56, |
|
"grad_norm": 0.26416483521461487, |
|
"learning_rate": 0.0007272727272727273, |
|
"loss": 2.1585, |
|
"step": 28000 |
|
}, |
|
{ |
|
"epoch": 9.73, |
|
"grad_norm": 0.3155469596385956, |
|
"learning_rate": 0.0004431818181818182, |
|
"loss": 2.1498, |
|
"step": 28500 |
|
}, |
|
{ |
|
"epoch": 9.9, |
|
"grad_norm": 0.35845381021499634, |
|
"learning_rate": 0.0001590909090909091, |
|
"loss": 2.1364, |
|
"step": 29000 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"eval_accuracy": 0.5000412022645466, |
|
"eval_loss": 2.4759199619293213, |
|
"eval_runtime": 3.4484, |
|
"eval_samples_per_second": 1302.334, |
|
"eval_steps_per_second": 10.44, |
|
"step": 29280 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"step": 29280, |
|
"total_flos": 2273237316403200.0, |
|
"train_loss": 2.5673805945557975, |
|
"train_runtime": 750.0006, |
|
"train_samples_per_second": 624.6, |
|
"train_steps_per_second": 39.04 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 29280, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 10, |
|
"save_steps": 2000, |
|
"total_flos": 2273237316403200.0, |
|
"train_batch_size": 16, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|