|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 3.5555555555555554, |
|
"eval_steps": 200, |
|
"global_step": 800, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.08888888888888889, |
|
"grad_norm": 37.69427401780438, |
|
"learning_rate": 7.407407407407407e-07, |
|
"loss": 3.3424, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.17777777777777778, |
|
"grad_norm": 14.88534997200217, |
|
"learning_rate": 1.4814814814814815e-06, |
|
"loss": 1.4123, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 0.26666666666666666, |
|
"grad_norm": 8.911512449667354, |
|
"learning_rate": 2.222222222222222e-06, |
|
"loss": 0.3828, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 0.35555555555555557, |
|
"grad_norm": 7.63936054251728, |
|
"learning_rate": 2.962962962962963e-06, |
|
"loss": 0.1952, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 0.4444444444444444, |
|
"grad_norm": 8.719508343316141, |
|
"learning_rate": 3.7037037037037037e-06, |
|
"loss": 0.2151, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.5333333333333333, |
|
"grad_norm": 3.652230684843914, |
|
"learning_rate": 4.444444444444444e-06, |
|
"loss": 0.1807, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 0.6222222222222222, |
|
"grad_norm": 2.803486909222409, |
|
"learning_rate": 5.185185185185185e-06, |
|
"loss": 0.1998, |
|
"step": 140 |
|
}, |
|
{ |
|
"epoch": 0.7111111111111111, |
|
"grad_norm": 5.683925517413812, |
|
"learning_rate": 5.925925925925926e-06, |
|
"loss": 0.2007, |
|
"step": 160 |
|
}, |
|
{ |
|
"epoch": 0.8, |
|
"grad_norm": 5.671264277200244, |
|
"learning_rate": 6.666666666666667e-06, |
|
"loss": 0.1823, |
|
"step": 180 |
|
}, |
|
{ |
|
"epoch": 0.8888888888888888, |
|
"grad_norm": 5.281924383594261, |
|
"learning_rate": 7.4074074074074075e-06, |
|
"loss": 0.2291, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 0.8888888888888888, |
|
"eval_loss": 0.1828269511461258, |
|
"eval_runtime": 8.8421, |
|
"eval_samples_per_second": 22.619, |
|
"eval_steps_per_second": 5.655, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 0.9777777777777777, |
|
"grad_norm": 2.2722939108252085, |
|
"learning_rate": 8.148148148148148e-06, |
|
"loss": 0.1731, |
|
"step": 220 |
|
}, |
|
{ |
|
"epoch": 1.0666666666666667, |
|
"grad_norm": 2.0906758425548317, |
|
"learning_rate": 8.888888888888888e-06, |
|
"loss": 0.1711, |
|
"step": 240 |
|
}, |
|
{ |
|
"epoch": 1.1555555555555554, |
|
"grad_norm": 6.978596990843908, |
|
"learning_rate": 9.62962962962963e-06, |
|
"loss": 0.2049, |
|
"step": 260 |
|
}, |
|
{ |
|
"epoch": 1.2444444444444445, |
|
"grad_norm": 3.6743331117766505, |
|
"learning_rate": 9.999582149277188e-06, |
|
"loss": 0.1922, |
|
"step": 280 |
|
}, |
|
{ |
|
"epoch": 1.3333333333333333, |
|
"grad_norm": 1.9815412342738243, |
|
"learning_rate": 9.996239762521152e-06, |
|
"loss": 0.1656, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 1.4222222222222223, |
|
"grad_norm": 7.061934705422651, |
|
"learning_rate": 9.989557223505661e-06, |
|
"loss": 0.1966, |
|
"step": 320 |
|
}, |
|
{ |
|
"epoch": 1.511111111111111, |
|
"grad_norm": 2.941290886263295, |
|
"learning_rate": 9.979538999730047e-06, |
|
"loss": 0.1608, |
|
"step": 340 |
|
}, |
|
{ |
|
"epoch": 1.6, |
|
"grad_norm": 2.643733136494985, |
|
"learning_rate": 9.966191788709716e-06, |
|
"loss": 0.171, |
|
"step": 360 |
|
}, |
|
{ |
|
"epoch": 1.6888888888888889, |
|
"grad_norm": 3.543866617747764, |
|
"learning_rate": 9.949524513498636e-06, |
|
"loss": 0.1779, |
|
"step": 380 |
|
}, |
|
{ |
|
"epoch": 1.7777777777777777, |
|
"grad_norm": 3.178266950243424, |
|
"learning_rate": 9.929548316723983e-06, |
|
"loss": 0.195, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 1.7777777777777777, |
|
"eval_loss": 0.16687195003032684, |
|
"eval_runtime": 8.6479, |
|
"eval_samples_per_second": 23.127, |
|
"eval_steps_per_second": 5.782, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 1.8666666666666667, |
|
"grad_norm": 5.20687251609928, |
|
"learning_rate": 9.906276553136924e-06, |
|
"loss": 0.1675, |
|
"step": 420 |
|
}, |
|
{ |
|
"epoch": 1.9555555555555557, |
|
"grad_norm": 1.2698407364204303, |
|
"learning_rate": 9.879724780684518e-06, |
|
"loss": 0.169, |
|
"step": 440 |
|
}, |
|
{ |
|
"epoch": 2.0444444444444443, |
|
"grad_norm": 0.9580164829323206, |
|
"learning_rate": 9.849910750108718e-06, |
|
"loss": 0.1225, |
|
"step": 460 |
|
}, |
|
{ |
|
"epoch": 2.1333333333333333, |
|
"grad_norm": 1.9949193423922398, |
|
"learning_rate": 9.816854393079402e-06, |
|
"loss": 0.1063, |
|
"step": 480 |
|
}, |
|
{ |
|
"epoch": 2.2222222222222223, |
|
"grad_norm": 5.346736325447602, |
|
"learning_rate": 9.7805778088694e-06, |
|
"loss": 0.1116, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 2.311111111111111, |
|
"grad_norm": 4.28662690357361, |
|
"learning_rate": 9.741105249580383e-06, |
|
"loss": 0.1053, |
|
"step": 520 |
|
}, |
|
{ |
|
"epoch": 2.4, |
|
"grad_norm": 1.9465352734274741, |
|
"learning_rate": 9.698463103929542e-06, |
|
"loss": 0.1069, |
|
"step": 540 |
|
}, |
|
{ |
|
"epoch": 2.488888888888889, |
|
"grad_norm": 2.655625957871827, |
|
"learning_rate": 9.652679879607843e-06, |
|
"loss": 0.1015, |
|
"step": 560 |
|
}, |
|
{ |
|
"epoch": 2.5777777777777775, |
|
"grad_norm": 19.89512752629162, |
|
"learning_rate": 9.603786184221693e-06, |
|
"loss": 0.1052, |
|
"step": 580 |
|
}, |
|
{ |
|
"epoch": 2.6666666666666665, |
|
"grad_norm": 1.7316001929181462, |
|
"learning_rate": 9.551814704830734e-06, |
|
"loss": 0.096, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 2.6666666666666665, |
|
"eval_loss": 0.16640160977840424, |
|
"eval_runtime": 8.6785, |
|
"eval_samples_per_second": 23.045, |
|
"eval_steps_per_second": 5.761, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 2.7555555555555555, |
|
"grad_norm": 4.520411658514228, |
|
"learning_rate": 9.496800186095466e-06, |
|
"loss": 0.1555, |
|
"step": 620 |
|
}, |
|
{ |
|
"epoch": 2.8444444444444446, |
|
"grad_norm": 2.053823726339468, |
|
"learning_rate": 9.438779407049282e-06, |
|
"loss": 0.1199, |
|
"step": 640 |
|
}, |
|
{ |
|
"epoch": 2.9333333333333336, |
|
"grad_norm": 2.305382285885107, |
|
"learning_rate": 9.377791156510456e-06, |
|
"loss": 0.1199, |
|
"step": 660 |
|
}, |
|
{ |
|
"epoch": 3.022222222222222, |
|
"grad_norm": 1.0397507056066575, |
|
"learning_rate": 9.313876207150544e-06, |
|
"loss": 0.0812, |
|
"step": 680 |
|
}, |
|
{ |
|
"epoch": 3.111111111111111, |
|
"grad_norm": 1.2727327131324244, |
|
"learning_rate": 9.247077288236488e-06, |
|
"loss": 0.0716, |
|
"step": 700 |
|
}, |
|
{ |
|
"epoch": 3.2, |
|
"grad_norm": 2.1523549330040077, |
|
"learning_rate": 9.177439057064684e-06, |
|
"loss": 0.093, |
|
"step": 720 |
|
}, |
|
{ |
|
"epoch": 3.2888888888888888, |
|
"grad_norm": 5.864509224189539, |
|
"learning_rate": 9.105008069106093e-06, |
|
"loss": 0.092, |
|
"step": 740 |
|
}, |
|
{ |
|
"epoch": 3.3777777777777778, |
|
"grad_norm": 3.844288077679731, |
|
"learning_rate": 9.029832746882372e-06, |
|
"loss": 0.0864, |
|
"step": 760 |
|
}, |
|
{ |
|
"epoch": 3.466666666666667, |
|
"grad_norm": 9.187901961444704, |
|
"learning_rate": 8.951963347593797e-06, |
|
"loss": 0.0867, |
|
"step": 780 |
|
}, |
|
{ |
|
"epoch": 3.5555555555555554, |
|
"grad_norm": 1.7296873275889046, |
|
"learning_rate": 8.871451929520662e-06, |
|
"loss": 0.0692, |
|
"step": 800 |
|
}, |
|
{ |
|
"epoch": 3.5555555555555554, |
|
"eval_loss": 0.1792396605014801, |
|
"eval_runtime": 8.674, |
|
"eval_samples_per_second": 23.057, |
|
"eval_steps_per_second": 5.764, |
|
"step": 800 |
|
} |
|
], |
|
"logging_steps": 20, |
|
"max_steps": 2700, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 12, |
|
"save_steps": 200, |
|
"stateful_callbacks": { |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": false |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 13273461227520.0, |
|
"train_batch_size": 1, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|