|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 2.9859154929577465, |
|
"eval_steps": 500, |
|
"global_step": 159, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.18779342723004694, |
|
"grad_norm": 1.2853285209837433, |
|
"learning_rate": 5e-06, |
|
"loss": 0.7828, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.3755868544600939, |
|
"grad_norm": 1.5703679315137147, |
|
"learning_rate": 5e-06, |
|
"loss": 0.6839, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.5633802816901409, |
|
"grad_norm": 0.8050661506952912, |
|
"learning_rate": 5e-06, |
|
"loss": 0.6552, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 0.7511737089201878, |
|
"grad_norm": 0.7119286963130127, |
|
"learning_rate": 5e-06, |
|
"loss": 0.6355, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 0.9389671361502347, |
|
"grad_norm": 0.7729364900144268, |
|
"learning_rate": 5e-06, |
|
"loss": 0.6241, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 0.9953051643192489, |
|
"eval_loss": 0.6091234683990479, |
|
"eval_runtime": 58.3471, |
|
"eval_samples_per_second": 24.577, |
|
"eval_steps_per_second": 0.394, |
|
"step": 53 |
|
}, |
|
{ |
|
"epoch": 1.1267605633802817, |
|
"grad_norm": 0.8140362088385064, |
|
"learning_rate": 5e-06, |
|
"loss": 0.6425, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 1.3145539906103285, |
|
"grad_norm": 0.8133655444184705, |
|
"learning_rate": 5e-06, |
|
"loss": 0.5674, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 1.5023474178403755, |
|
"grad_norm": 0.6492306561049654, |
|
"learning_rate": 5e-06, |
|
"loss": 0.5654, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 1.6901408450704225, |
|
"grad_norm": 0.7508356214374524, |
|
"learning_rate": 5e-06, |
|
"loss": 0.5662, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 1.8779342723004695, |
|
"grad_norm": 1.39871277191206, |
|
"learning_rate": 5e-06, |
|
"loss": 0.5597, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 1.9906103286384975, |
|
"eval_loss": 0.5878855586051941, |
|
"eval_runtime": 58.1368, |
|
"eval_samples_per_second": 24.666, |
|
"eval_steps_per_second": 0.396, |
|
"step": 106 |
|
}, |
|
{ |
|
"epoch": 2.0657276995305165, |
|
"grad_norm": 1.0731318648601569, |
|
"learning_rate": 5e-06, |
|
"loss": 0.5894, |
|
"step": 110 |
|
}, |
|
{ |
|
"epoch": 2.2535211267605635, |
|
"grad_norm": 0.7948806860624125, |
|
"learning_rate": 5e-06, |
|
"loss": 0.5112, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 2.4413145539906105, |
|
"grad_norm": 0.7896383757774875, |
|
"learning_rate": 5e-06, |
|
"loss": 0.5115, |
|
"step": 130 |
|
}, |
|
{ |
|
"epoch": 2.629107981220657, |
|
"grad_norm": 1.107201714560591, |
|
"learning_rate": 5e-06, |
|
"loss": 0.5121, |
|
"step": 140 |
|
}, |
|
{ |
|
"epoch": 2.816901408450704, |
|
"grad_norm": 0.8878715217566517, |
|
"learning_rate": 5e-06, |
|
"loss": 0.513, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 2.9859154929577465, |
|
"eval_loss": 0.5900523066520691, |
|
"eval_runtime": 57.5361, |
|
"eval_samples_per_second": 24.923, |
|
"eval_steps_per_second": 0.4, |
|
"step": 159 |
|
}, |
|
{ |
|
"epoch": 2.9859154929577465, |
|
"step": 159, |
|
"total_flos": 266121542369280.0, |
|
"train_loss": 0.5896026683303545, |
|
"train_runtime": 9662.9595, |
|
"train_samples_per_second": 8.459, |
|
"train_steps_per_second": 0.016 |
|
} |
|
], |
|
"logging_steps": 10, |
|
"max_steps": 159, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 3, |
|
"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": 266121542369280.0, |
|
"train_batch_size": 8, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|