|
{ |
|
"best_metric": 2.273698555654846e-06, |
|
"best_model_checkpoint": "data/further_pretraining/roberta-base/checkpoint-11695", |
|
"epoch": 6.0, |
|
"global_step": 14034, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.21, |
|
"learning_rate": 1.9572466866182133e-05, |
|
"loss": 0.0508, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.43, |
|
"learning_rate": 1.914493373236426e-05, |
|
"loss": 0.0326, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.64, |
|
"learning_rate": 1.8717400598546387e-05, |
|
"loss": 0.0135, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 0.86, |
|
"learning_rate": 1.828986746472852e-05, |
|
"loss": 0.0023, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_loss": 0.0002380974474363029, |
|
"eval_runtime": 225.964, |
|
"eval_samples_per_second": 331.212, |
|
"eval_steps_per_second": 10.351, |
|
"step": 2339 |
|
}, |
|
{ |
|
"epoch": 1.07, |
|
"learning_rate": 1.7862334330910646e-05, |
|
"loss": 0.0009, |
|
"step": 2500 |
|
}, |
|
{ |
|
"epoch": 1.28, |
|
"learning_rate": 1.7434801197092777e-05, |
|
"loss": 0.0004, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 1.5, |
|
"learning_rate": 1.7007268063274904e-05, |
|
"loss": 0.0004, |
|
"step": 3500 |
|
}, |
|
{ |
|
"epoch": 1.71, |
|
"learning_rate": 1.6579734929457035e-05, |
|
"loss": 0.0004, |
|
"step": 4000 |
|
}, |
|
{ |
|
"epoch": 1.92, |
|
"learning_rate": 1.6152201795639163e-05, |
|
"loss": 0.0003, |
|
"step": 4500 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_loss": 2.140663673344534e-05, |
|
"eval_runtime": 228.247, |
|
"eval_samples_per_second": 327.899, |
|
"eval_steps_per_second": 10.248, |
|
"step": 4678 |
|
}, |
|
{ |
|
"epoch": 2.14, |
|
"learning_rate": 1.5724668661821293e-05, |
|
"loss": 0.0001, |
|
"step": 5000 |
|
}, |
|
{ |
|
"epoch": 2.35, |
|
"learning_rate": 1.529713552800342e-05, |
|
"loss": 0.0001, |
|
"step": 5500 |
|
}, |
|
{ |
|
"epoch": 2.57, |
|
"learning_rate": 1.4869602394185552e-05, |
|
"loss": 0.0002, |
|
"step": 6000 |
|
}, |
|
{ |
|
"epoch": 2.78, |
|
"learning_rate": 1.444206926036768e-05, |
|
"loss": 0.0001, |
|
"step": 6500 |
|
}, |
|
{ |
|
"epoch": 2.99, |
|
"learning_rate": 1.4014536126549808e-05, |
|
"loss": 0.0001, |
|
"step": 7000 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_loss": 5.5228130804607645e-05, |
|
"eval_runtime": 228.2524, |
|
"eval_samples_per_second": 327.891, |
|
"eval_steps_per_second": 10.247, |
|
"step": 7017 |
|
}, |
|
{ |
|
"epoch": 3.21, |
|
"learning_rate": 1.3587002992731938e-05, |
|
"loss": 0.0001, |
|
"step": 7500 |
|
}, |
|
{ |
|
"epoch": 3.42, |
|
"learning_rate": 1.3159469858914067e-05, |
|
"loss": 0.0001, |
|
"step": 8000 |
|
}, |
|
{ |
|
"epoch": 3.63, |
|
"learning_rate": 1.2731936725096196e-05, |
|
"loss": 0.0001, |
|
"step": 8500 |
|
}, |
|
{ |
|
"epoch": 3.85, |
|
"learning_rate": 1.2304403591278325e-05, |
|
"loss": 0.0004, |
|
"step": 9000 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_loss": 6.755703907401767e-06, |
|
"eval_runtime": 228.2467, |
|
"eval_samples_per_second": 327.9, |
|
"eval_steps_per_second": 10.248, |
|
"step": 9356 |
|
}, |
|
{ |
|
"epoch": 4.06, |
|
"learning_rate": 1.1876870457460454e-05, |
|
"loss": 0.0001, |
|
"step": 9500 |
|
}, |
|
{ |
|
"epoch": 4.28, |
|
"learning_rate": 1.1449337323642584e-05, |
|
"loss": 0.0, |
|
"step": 10000 |
|
}, |
|
{ |
|
"epoch": 4.49, |
|
"learning_rate": 1.1021804189824713e-05, |
|
"loss": 0.0002, |
|
"step": 10500 |
|
}, |
|
{ |
|
"epoch": 4.7, |
|
"learning_rate": 1.0594271056006842e-05, |
|
"loss": 0.0001, |
|
"step": 11000 |
|
}, |
|
{ |
|
"epoch": 4.92, |
|
"learning_rate": 1.016673792218897e-05, |
|
"loss": 0.0, |
|
"step": 11500 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_loss": 2.273698555654846e-06, |
|
"eval_runtime": 227.9681, |
|
"eval_samples_per_second": 328.3, |
|
"eval_steps_per_second": 10.26, |
|
"step": 11695 |
|
}, |
|
{ |
|
"epoch": 5.13, |
|
"learning_rate": 9.739204788371099e-06, |
|
"loss": 0.0007, |
|
"step": 12000 |
|
}, |
|
{ |
|
"epoch": 5.34, |
|
"learning_rate": 9.311671654553228e-06, |
|
"loss": 0.0001, |
|
"step": 12500 |
|
}, |
|
{ |
|
"epoch": 5.56, |
|
"learning_rate": 8.884138520735359e-06, |
|
"loss": 0.0, |
|
"step": 13000 |
|
}, |
|
{ |
|
"epoch": 5.77, |
|
"learning_rate": 8.456605386917486e-06, |
|
"loss": 0.0001, |
|
"step": 13500 |
|
}, |
|
{ |
|
"epoch": 5.99, |
|
"learning_rate": 8.029072253099615e-06, |
|
"loss": 0.0001, |
|
"step": 14000 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_loss": 3.073917014262406e-06, |
|
"eval_runtime": 228.2599, |
|
"eval_samples_per_second": 327.881, |
|
"eval_steps_per_second": 10.247, |
|
"step": 14034 |
|
} |
|
], |
|
"max_steps": 23390, |
|
"num_train_epochs": 10, |
|
"total_flos": 2.955497070599885e+16, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|