|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 0.005361473979830646, |
|
"eval_steps": 9, |
|
"global_step": 63, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 8.510276158461342e-05, |
|
"eval_loss": 1.4265342950820923, |
|
"eval_runtime": 1420.4288, |
|
"eval_samples_per_second": 13.933, |
|
"eval_steps_per_second": 1.742, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.0002553082847538403, |
|
"grad_norm": 8.264724731445312, |
|
"learning_rate": 1.5e-05, |
|
"loss": 5.6967, |
|
"step": 3 |
|
}, |
|
{ |
|
"epoch": 0.0005106165695076806, |
|
"grad_norm": 6.364163875579834, |
|
"learning_rate": 3e-05, |
|
"loss": 5.4301, |
|
"step": 6 |
|
}, |
|
{ |
|
"epoch": 0.0007659248542615208, |
|
"grad_norm": 4.069925785064697, |
|
"learning_rate": 4.5e-05, |
|
"loss": 5.2099, |
|
"step": 9 |
|
}, |
|
{ |
|
"epoch": 0.0007659248542615208, |
|
"eval_loss": 1.2636969089508057, |
|
"eval_runtime": 1429.8254, |
|
"eval_samples_per_second": 13.842, |
|
"eval_steps_per_second": 1.73, |
|
"step": 9 |
|
}, |
|
{ |
|
"epoch": 0.0010212331390153612, |
|
"grad_norm": 4.338223934173584, |
|
"learning_rate": 4.993910125649561e-05, |
|
"loss": 5.0681, |
|
"step": 12 |
|
}, |
|
{ |
|
"epoch": 0.0012765414237692013, |
|
"grad_norm": 2.9977951049804688, |
|
"learning_rate": 4.962019382530521e-05, |
|
"loss": 4.8176, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 0.0015318497085230415, |
|
"grad_norm": 3.106626272201538, |
|
"learning_rate": 4.9031542398457974e-05, |
|
"loss": 4.7295, |
|
"step": 18 |
|
}, |
|
{ |
|
"epoch": 0.0015318497085230415, |
|
"eval_loss": 1.1791139841079712, |
|
"eval_runtime": 1428.3193, |
|
"eval_samples_per_second": 13.856, |
|
"eval_steps_per_second": 1.732, |
|
"step": 18 |
|
}, |
|
{ |
|
"epoch": 0.001787157993276882, |
|
"grad_norm": 2.7620089054107666, |
|
"learning_rate": 4.817959636416969e-05, |
|
"loss": 4.693, |
|
"step": 21 |
|
}, |
|
{ |
|
"epoch": 0.0020424662780307223, |
|
"grad_norm": 2.6547420024871826, |
|
"learning_rate": 4.707368982147318e-05, |
|
"loss": 4.5969, |
|
"step": 24 |
|
}, |
|
{ |
|
"epoch": 0.0022977745627845623, |
|
"grad_norm": 2.783263921737671, |
|
"learning_rate": 4.572593931387604e-05, |
|
"loss": 4.6329, |
|
"step": 27 |
|
}, |
|
{ |
|
"epoch": 0.0022977745627845623, |
|
"eval_loss": 1.1524362564086914, |
|
"eval_runtime": 1428.632, |
|
"eval_samples_per_second": 13.853, |
|
"eval_steps_per_second": 1.732, |
|
"step": 27 |
|
}, |
|
{ |
|
"epoch": 0.0025530828475384027, |
|
"grad_norm": 2.664246082305908, |
|
"learning_rate": 4.415111107797445e-05, |
|
"loss": 4.5762, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 0.002808391132292243, |
|
"grad_norm": 2.6894233226776123, |
|
"learning_rate": 4.2366459261474933e-05, |
|
"loss": 4.6249, |
|
"step": 33 |
|
}, |
|
{ |
|
"epoch": 0.003063699417046083, |
|
"grad_norm": 2.957350730895996, |
|
"learning_rate": 4.039153688314145e-05, |
|
"loss": 4.5452, |
|
"step": 36 |
|
}, |
|
{ |
|
"epoch": 0.003063699417046083, |
|
"eval_loss": 1.1378833055496216, |
|
"eval_runtime": 1430.8088, |
|
"eval_samples_per_second": 13.832, |
|
"eval_steps_per_second": 1.729, |
|
"step": 36 |
|
}, |
|
{ |
|
"epoch": 0.0033190077017999234, |
|
"grad_norm": 2.741870164871216, |
|
"learning_rate": 3.824798160583012e-05, |
|
"loss": 4.6275, |
|
"step": 39 |
|
}, |
|
{ |
|
"epoch": 0.003574315986553764, |
|
"grad_norm": 2.8776938915252686, |
|
"learning_rate": 3.5959278669726935e-05, |
|
"loss": 4.5287, |
|
"step": 42 |
|
}, |
|
{ |
|
"epoch": 0.0038296242713076038, |
|
"grad_norm": 2.7638866901397705, |
|
"learning_rate": 3.355050358314172e-05, |
|
"loss": 4.4224, |
|
"step": 45 |
|
}, |
|
{ |
|
"epoch": 0.0038296242713076038, |
|
"eval_loss": 1.1293689012527466, |
|
"eval_runtime": 1429.6849, |
|
"eval_samples_per_second": 13.843, |
|
"eval_steps_per_second": 1.73, |
|
"step": 45 |
|
}, |
|
{ |
|
"epoch": 0.004084932556061445, |
|
"grad_norm": 2.8020057678222656, |
|
"learning_rate": 3.104804738999169e-05, |
|
"loss": 4.3762, |
|
"step": 48 |
|
}, |
|
{ |
|
"epoch": 0.004340240840815284, |
|
"grad_norm": 2.6722795963287354, |
|
"learning_rate": 2.8479327524001636e-05, |
|
"loss": 4.5613, |
|
"step": 51 |
|
}, |
|
{ |
|
"epoch": 0.0045955491255691245, |
|
"grad_norm": 2.5772705078125, |
|
"learning_rate": 2.587248741756253e-05, |
|
"loss": 4.5655, |
|
"step": 54 |
|
}, |
|
{ |
|
"epoch": 0.0045955491255691245, |
|
"eval_loss": 1.1215273141860962, |
|
"eval_runtime": 1429.4909, |
|
"eval_samples_per_second": 13.845, |
|
"eval_steps_per_second": 1.731, |
|
"step": 54 |
|
}, |
|
{ |
|
"epoch": 0.004850857410322965, |
|
"grad_norm": 2.7015180587768555, |
|
"learning_rate": 2.3256088156396868e-05, |
|
"loss": 4.4799, |
|
"step": 57 |
|
}, |
|
{ |
|
"epoch": 0.005106165695076805, |
|
"grad_norm": 2.699486017227173, |
|
"learning_rate": 2.0658795558326743e-05, |
|
"loss": 4.4337, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 0.005361473979830646, |
|
"grad_norm": 2.7420105934143066, |
|
"learning_rate": 1.8109066104575023e-05, |
|
"loss": 4.4129, |
|
"step": 63 |
|
}, |
|
{ |
|
"epoch": 0.005361473979830646, |
|
"eval_loss": 1.1171752214431763, |
|
"eval_runtime": 1430.265, |
|
"eval_samples_per_second": 13.837, |
|
"eval_steps_per_second": 1.73, |
|
"step": 63 |
|
} |
|
], |
|
"logging_steps": 3, |
|
"max_steps": 100, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 1, |
|
"save_steps": 9, |
|
"stateful_callbacks": { |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": false |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 8.859441830245171e+16, |
|
"train_batch_size": 8, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|