|
{ |
|
"best_metric": 0.9048165137614679, |
|
"best_model_checkpoint": "bert-base-uncased-finetuned-sst2/run-3/checkpoint-5052", |
|
"epoch": 3.0, |
|
"eval_steps": 500, |
|
"global_step": 5052, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.3, |
|
"grad_norm": 7.637521743774414, |
|
"learning_rate": 3.0568943955117345e-06, |
|
"loss": 0.5094, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.59, |
|
"grad_norm": 104.65070343017578, |
|
"learning_rate": 2.721119527814927e-06, |
|
"loss": 0.4332, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.89, |
|
"grad_norm": 0.10155901312828064, |
|
"learning_rate": 2.3853446601181197e-06, |
|
"loss": 0.4318, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.8899082568807339, |
|
"eval_loss": 0.4135288596153259, |
|
"eval_runtime": 2.3891, |
|
"eval_samples_per_second": 364.998, |
|
"eval_steps_per_second": 23.022, |
|
"step": 1684 |
|
}, |
|
{ |
|
"epoch": 1.19, |
|
"grad_norm": 0.4222470819950104, |
|
"learning_rate": 2.0495697924213124e-06, |
|
"loss": 0.4108, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 1.48, |
|
"grad_norm": 0.46430423855781555, |
|
"learning_rate": 1.7137949247245048e-06, |
|
"loss": 0.3485, |
|
"step": 2500 |
|
}, |
|
{ |
|
"epoch": 1.78, |
|
"grad_norm": 0.1579820215702057, |
|
"learning_rate": 1.3780200570276975e-06, |
|
"loss": 0.3125, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.8967889908256881, |
|
"eval_loss": 0.4881651997566223, |
|
"eval_runtime": 2.45, |
|
"eval_samples_per_second": 355.915, |
|
"eval_steps_per_second": 22.449, |
|
"step": 3368 |
|
}, |
|
{ |
|
"epoch": 2.08, |
|
"grad_norm": 0.662672221660614, |
|
"learning_rate": 1.0422451893308901e-06, |
|
"loss": 0.3239, |
|
"step": 3500 |
|
}, |
|
{ |
|
"epoch": 2.38, |
|
"grad_norm": 10.589339256286621, |
|
"learning_rate": 7.064703216340827e-07, |
|
"loss": 0.2529, |
|
"step": 4000 |
|
}, |
|
{ |
|
"epoch": 2.67, |
|
"grad_norm": 0.06143077090382576, |
|
"learning_rate": 3.7069545393727534e-07, |
|
"loss": 0.2671, |
|
"step": 4500 |
|
}, |
|
{ |
|
"epoch": 2.97, |
|
"grad_norm": 0.06450512260198593, |
|
"learning_rate": 3.492058624046797e-08, |
|
"loss": 0.2994, |
|
"step": 5000 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.9048165137614679, |
|
"eval_loss": 0.4830039441585541, |
|
"eval_runtime": 2.4197, |
|
"eval_samples_per_second": 360.376, |
|
"eval_steps_per_second": 22.73, |
|
"step": 5052 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 5052, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 3, |
|
"save_steps": 500, |
|
"total_flos": 246789433818420.0, |
|
"train_batch_size": 4, |
|
"trial_name": null, |
|
"trial_params": { |
|
"learning_rate": 3.3926692632085418e-06, |
|
"num_train_epochs": 3, |
|
"per_device_train_batch_size": 4, |
|
"seed": 6 |
|
} |
|
} |
|
|