|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 0.13065490772497143, |
|
"eval_steps": 17, |
|
"global_step": 200, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.0006532745386248571, |
|
"eval_loss": 2.095608949661255, |
|
"eval_runtime": 57.0442, |
|
"eval_samples_per_second": 45.193, |
|
"eval_steps_per_second": 5.662, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.0032663726931242854, |
|
"grad_norm": 0.21221201121807098, |
|
"learning_rate": 5e-05, |
|
"loss": 1.6508, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 0.006532745386248571, |
|
"grad_norm": 0.22674362361431122, |
|
"learning_rate": 0.0001, |
|
"loss": 1.7102, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.009799118079372856, |
|
"grad_norm": 0.269519180059433, |
|
"learning_rate": 9.98292246503335e-05, |
|
"loss": 1.7246, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 0.01110566715662257, |
|
"eval_loss": 2.028172254562378, |
|
"eval_runtime": 57.359, |
|
"eval_samples_per_second": 44.945, |
|
"eval_steps_per_second": 5.631, |
|
"step": 17 |
|
}, |
|
{ |
|
"epoch": 0.013065490772497142, |
|
"grad_norm": 0.31122979521751404, |
|
"learning_rate": 9.931806517013612e-05, |
|
"loss": 1.7273, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.01633186346562143, |
|
"grad_norm": 0.41586434841156006, |
|
"learning_rate": 9.847001329696653e-05, |
|
"loss": 1.7933, |
|
"step": 25 |
|
}, |
|
{ |
|
"epoch": 0.019598236158745713, |
|
"grad_norm": 0.5983772277832031, |
|
"learning_rate": 9.729086208503174e-05, |
|
"loss": 1.7516, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 0.02221133431324514, |
|
"eval_loss": 1.929399013519287, |
|
"eval_runtime": 57.6067, |
|
"eval_samples_per_second": 44.752, |
|
"eval_steps_per_second": 5.607, |
|
"step": 34 |
|
}, |
|
{ |
|
"epoch": 0.02286460885187, |
|
"grad_norm": 0.943932831287384, |
|
"learning_rate": 9.578866633275288e-05, |
|
"loss": 1.9982, |
|
"step": 35 |
|
}, |
|
{ |
|
"epoch": 0.026130981544994283, |
|
"grad_norm": 1.333251953125, |
|
"learning_rate": 9.397368756032445e-05, |
|
"loss": 2.1041, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 0.02939735423811857, |
|
"grad_norm": 1.7958847284317017, |
|
"learning_rate": 9.185832391312644e-05, |
|
"loss": 2.15, |
|
"step": 45 |
|
}, |
|
{ |
|
"epoch": 0.03266372693124286, |
|
"grad_norm": 4.410415172576904, |
|
"learning_rate": 8.945702546981969e-05, |
|
"loss": 2.5185, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 0.03331700146986771, |
|
"eval_loss": 1.9736422300338745, |
|
"eval_runtime": 57.487, |
|
"eval_samples_per_second": 44.845, |
|
"eval_steps_per_second": 5.619, |
|
"step": 51 |
|
}, |
|
{ |
|
"epoch": 0.03593009962436714, |
|
"grad_norm": 0.5272660255432129, |
|
"learning_rate": 8.678619553365659e-05, |
|
"loss": 1.6951, |
|
"step": 55 |
|
}, |
|
{ |
|
"epoch": 0.039196472317491425, |
|
"grad_norm": 0.2936265170574188, |
|
"learning_rate": 8.386407858128706e-05, |
|
"loss": 1.6946, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 0.04246284501061571, |
|
"grad_norm": 0.2740556299686432, |
|
"learning_rate": 8.07106356344834e-05, |
|
"loss": 1.6546, |
|
"step": 65 |
|
}, |
|
{ |
|
"epoch": 0.04442266862649028, |
|
"eval_loss": 1.8947619199752808, |
|
"eval_runtime": 57.6624, |
|
"eval_samples_per_second": 44.709, |
|
"eval_steps_per_second": 5.602, |
|
"step": 68 |
|
}, |
|
{ |
|
"epoch": 0.04572921770374, |
|
"grad_norm": 0.3228052258491516, |
|
"learning_rate": 7.734740790612136e-05, |
|
"loss": 1.6589, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 0.04899559039686428, |
|
"grad_norm": 0.42957571148872375, |
|
"learning_rate": 7.379736965185368e-05, |
|
"loss": 1.7451, |
|
"step": 75 |
|
}, |
|
{ |
|
"epoch": 0.05226196308998857, |
|
"grad_norm": 0.5609195232391357, |
|
"learning_rate": 7.008477123264848e-05, |
|
"loss": 1.7741, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 0.05552833578311285, |
|
"grad_norm": 0.8654677271842957, |
|
"learning_rate": 6.623497346023418e-05, |
|
"loss": 1.8785, |
|
"step": 85 |
|
}, |
|
{ |
|
"epoch": 0.05552833578311285, |
|
"eval_loss": 1.8576701879501343, |
|
"eval_runtime": 57.2998, |
|
"eval_samples_per_second": 44.991, |
|
"eval_steps_per_second": 5.637, |
|
"step": 85 |
|
}, |
|
{ |
|
"epoch": 0.05879470847623714, |
|
"grad_norm": 1.3158453702926636, |
|
"learning_rate": 6.227427435703997e-05, |
|
"loss": 2.0237, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 0.062061081169361425, |
|
"grad_norm": 1.6945480108261108, |
|
"learning_rate": 5.8229729514036705e-05, |
|
"loss": 2.0945, |
|
"step": 95 |
|
}, |
|
{ |
|
"epoch": 0.06532745386248572, |
|
"grad_norm": 3.3736517429351807, |
|
"learning_rate": 5.4128967273616625e-05, |
|
"loss": 2.3271, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.06663400293973543, |
|
"eval_loss": 1.8315001726150513, |
|
"eval_runtime": 57.6522, |
|
"eval_samples_per_second": 44.716, |
|
"eval_steps_per_second": 5.603, |
|
"step": 102 |
|
}, |
|
{ |
|
"epoch": 0.06859382655561, |
|
"grad_norm": 0.35630449652671814, |
|
"learning_rate": 5e-05, |
|
"loss": 1.5742, |
|
"step": 105 |
|
}, |
|
{ |
|
"epoch": 0.07186019924873428, |
|
"grad_norm": 0.3723335266113281, |
|
"learning_rate": 4.5871032726383386e-05, |
|
"loss": 1.6171, |
|
"step": 110 |
|
}, |
|
{ |
|
"epoch": 0.07512657194185857, |
|
"grad_norm": 0.39353442192077637, |
|
"learning_rate": 4.17702704859633e-05, |
|
"loss": 1.6489, |
|
"step": 115 |
|
}, |
|
{ |
|
"epoch": 0.07773967009635799, |
|
"eval_loss": 1.8114745616912842, |
|
"eval_runtime": 57.6514, |
|
"eval_samples_per_second": 44.717, |
|
"eval_steps_per_second": 5.603, |
|
"step": 119 |
|
}, |
|
{ |
|
"epoch": 0.07839294463498285, |
|
"grad_norm": 0.37837105989456177, |
|
"learning_rate": 3.772572564296005e-05, |
|
"loss": 1.6021, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 0.08165931732810713, |
|
"grad_norm": 0.4824821949005127, |
|
"learning_rate": 3.3765026539765834e-05, |
|
"loss": 1.7757, |
|
"step": 125 |
|
}, |
|
{ |
|
"epoch": 0.08492569002123142, |
|
"grad_norm": 0.612577497959137, |
|
"learning_rate": 2.991522876735154e-05, |
|
"loss": 1.7622, |
|
"step": 130 |
|
}, |
|
{ |
|
"epoch": 0.0881920627143557, |
|
"grad_norm": 0.9872429370880127, |
|
"learning_rate": 2.6202630348146324e-05, |
|
"loss": 1.9061, |
|
"step": 135 |
|
}, |
|
{ |
|
"epoch": 0.08884533725298056, |
|
"eval_loss": 1.812151551246643, |
|
"eval_runtime": 57.6472, |
|
"eval_samples_per_second": 44.72, |
|
"eval_steps_per_second": 5.603, |
|
"step": 136 |
|
}, |
|
{ |
|
"epoch": 0.09145843540748, |
|
"grad_norm": 1.347030758857727, |
|
"learning_rate": 2.2652592093878666e-05, |
|
"loss": 1.9406, |
|
"step": 140 |
|
}, |
|
{ |
|
"epoch": 0.09472480810060428, |
|
"grad_norm": 2.084744453430176, |
|
"learning_rate": 1.928936436551661e-05, |
|
"loss": 2.0861, |
|
"step": 145 |
|
}, |
|
{ |
|
"epoch": 0.09799118079372857, |
|
"grad_norm": 3.422002077102661, |
|
"learning_rate": 1.6135921418712956e-05, |
|
"loss": 2.375, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 0.09995100440960314, |
|
"eval_loss": 1.7937358617782593, |
|
"eval_runtime": 57.499, |
|
"eval_samples_per_second": 44.836, |
|
"eval_steps_per_second": 5.617, |
|
"step": 153 |
|
}, |
|
{ |
|
"epoch": 0.10125755348685285, |
|
"grad_norm": 0.30897772312164307, |
|
"learning_rate": 1.3213804466343421e-05, |
|
"loss": 1.5451, |
|
"step": 155 |
|
}, |
|
{ |
|
"epoch": 0.10452392617997713, |
|
"grad_norm": 0.3643786609172821, |
|
"learning_rate": 1.0542974530180327e-05, |
|
"loss": 1.6042, |
|
"step": 160 |
|
}, |
|
{ |
|
"epoch": 0.10779029887310142, |
|
"grad_norm": 0.42373302578926086, |
|
"learning_rate": 8.141676086873572e-06, |
|
"loss": 1.6688, |
|
"step": 165 |
|
}, |
|
{ |
|
"epoch": 0.1110566715662257, |
|
"grad_norm": 0.5218139886856079, |
|
"learning_rate": 6.026312439675552e-06, |
|
"loss": 1.7141, |
|
"step": 170 |
|
}, |
|
{ |
|
"epoch": 0.1110566715662257, |
|
"eval_loss": 1.794013500213623, |
|
"eval_runtime": 57.8137, |
|
"eval_samples_per_second": 44.592, |
|
"eval_steps_per_second": 5.587, |
|
"step": 170 |
|
}, |
|
{ |
|
"epoch": 0.11432304425935, |
|
"grad_norm": 0.6702213883399963, |
|
"learning_rate": 4.2113336672471245e-06, |
|
"loss": 1.7233, |
|
"step": 175 |
|
}, |
|
{ |
|
"epoch": 0.11758941695247428, |
|
"grad_norm": 0.9712100028991699, |
|
"learning_rate": 2.7091379149682685e-06, |
|
"loss": 1.7565, |
|
"step": 180 |
|
}, |
|
{ |
|
"epoch": 0.12085578964559857, |
|
"grad_norm": 1.1032600402832031, |
|
"learning_rate": 1.5299867030334814e-06, |
|
"loss": 1.8817, |
|
"step": 185 |
|
}, |
|
{ |
|
"epoch": 0.12216233872284828, |
|
"eval_loss": 1.784209966659546, |
|
"eval_runtime": 57.6323, |
|
"eval_samples_per_second": 44.732, |
|
"eval_steps_per_second": 5.605, |
|
"step": 187 |
|
}, |
|
{ |
|
"epoch": 0.12412216233872285, |
|
"grad_norm": 1.3396888971328735, |
|
"learning_rate": 6.819348298638839e-07, |
|
"loss": 1.8765, |
|
"step": 190 |
|
}, |
|
{ |
|
"epoch": 0.12738853503184713, |
|
"grad_norm": 1.7500126361846924, |
|
"learning_rate": 1.7077534966650766e-07, |
|
"loss": 1.9182, |
|
"step": 195 |
|
}, |
|
{ |
|
"epoch": 0.13065490772497143, |
|
"grad_norm": 3.3364036083221436, |
|
"learning_rate": 0.0, |
|
"loss": 2.1906, |
|
"step": 200 |
|
} |
|
], |
|
"logging_steps": 5, |
|
"max_steps": 200, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 1, |
|
"save_steps": 500, |
|
"stateful_callbacks": { |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": true |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 5.12349324705792e+16, |
|
"train_batch_size": 8, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|