|
{ |
|
"best_metric": 3.516153573989868, |
|
"best_model_checkpoint": "output/bones/checkpoint-131", |
|
"epoch": 1.0, |
|
"global_step": 131, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 0.00013670742670262692, |
|
"loss": 4.0743, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 0.00013523678052634687, |
|
"loss": 4.0532, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.11, |
|
"learning_rate": 0.00013280918103490095, |
|
"loss": 3.8244, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 0.15, |
|
"learning_rate": 0.00012945949034742042, |
|
"loss": 3.8818, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.19, |
|
"learning_rate": 0.00012523581249268407, |
|
"loss": 3.7574, |
|
"step": 25 |
|
}, |
|
{ |
|
"epoch": 0.23, |
|
"learning_rate": 0.00012019880259978666, |
|
"loss": 3.8753, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 0.27, |
|
"learning_rate": 0.00011442079584574986, |
|
"loss": 3.6832, |
|
"step": 35 |
|
}, |
|
{ |
|
"epoch": 0.31, |
|
"learning_rate": 0.00010798476866903087, |
|
"loss": 3.764, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 0.34, |
|
"learning_rate": 0.00010098314716666811, |
|
"loss": 3.7562, |
|
"step": 45 |
|
}, |
|
{ |
|
"epoch": 0.38, |
|
"learning_rate": 9.351647978736063e-05, |
|
"loss": 3.8048, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 0.42, |
|
"learning_rate": 8.5691993381587e-05, |
|
"loss": 3.8516, |
|
"step": 55 |
|
}, |
|
{ |
|
"epoch": 0.46, |
|
"learning_rate": 7.762205334494898e-05, |
|
"loss": 3.7629, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 0.5, |
|
"learning_rate": 6.942254996821776e-05, |
|
"loss": 3.7416, |
|
"step": 65 |
|
}, |
|
{ |
|
"epoch": 0.53, |
|
"learning_rate": 6.121123416728538e-05, |
|
"loss": 3.5754, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 0.57, |
|
"learning_rate": 5.310602649316754e-05, |
|
"loss": 3.625, |
|
"step": 75 |
|
}, |
|
{ |
|
"epoch": 0.61, |
|
"learning_rate": 4.5223323705920566e-05, |
|
"loss": 3.5876, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 0.65, |
|
"learning_rate": 3.7676327231320786e-05, |
|
"loss": 3.5927, |
|
"step": 85 |
|
}, |
|
{ |
|
"epoch": 0.69, |
|
"learning_rate": 3.0573417504900444e-05, |
|
"loss": 3.4549, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 0.73, |
|
"learning_rate": 2.401659754895943e-05, |
|
"loss": 3.8261, |
|
"step": 95 |
|
}, |
|
{ |
|
"epoch": 0.76, |
|
"learning_rate": 1.8100028133934438e-05, |
|
"loss": 3.6442, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.8, |
|
"learning_rate": 1.2908675560288951e-05, |
|
"loss": 3.7345, |
|
"step": 105 |
|
}, |
|
{ |
|
"epoch": 0.84, |
|
"learning_rate": 8.517091479772992e-06, |
|
"loss": 3.4828, |
|
"step": 110 |
|
}, |
|
{ |
|
"epoch": 0.88, |
|
"learning_rate": 4.988342278719811e-06, |
|
"loss": 3.5471, |
|
"step": 115 |
|
}, |
|
{ |
|
"epoch": 0.92, |
|
"learning_rate": 2.3731033982246404e-06, |
|
"loss": 3.5867, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 0.95, |
|
"learning_rate": 7.089315974356758e-07, |
|
"loss": 3.4037, |
|
"step": 125 |
|
}, |
|
{ |
|
"epoch": 0.99, |
|
"learning_rate": 1.9725610793441152e-08, |
|
"loss": 3.6132, |
|
"step": 130 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_loss": 3.516153573989868, |
|
"eval_runtime": 9.0194, |
|
"eval_samples_per_second": 22.396, |
|
"eval_steps_per_second": 2.883, |
|
"step": 131 |
|
} |
|
], |
|
"max_steps": 131, |
|
"num_train_epochs": 1, |
|
"total_flos": 136133148672000.0, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|