|
{ |
|
"best_metric": 0.6924921870231628, |
|
"best_model_checkpoint": "hBERTv1_new_pretrain_w_init__rte/checkpoint-40", |
|
"epoch": 7.0, |
|
"global_step": 140, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"learning_rate": 0.00049, |
|
"loss": 5.3184, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.4729241877256318, |
|
"eval_loss": 2.3444929122924805, |
|
"eval_runtime": 0.5056, |
|
"eval_samples_per_second": 547.866, |
|
"eval_steps_per_second": 5.934, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"learning_rate": 0.00048, |
|
"loss": 1.0827, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.5270758122743683, |
|
"eval_loss": 0.6924921870231628, |
|
"eval_runtime": 0.5111, |
|
"eval_samples_per_second": 541.947, |
|
"eval_steps_per_second": 5.869, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"learning_rate": 0.00047, |
|
"loss": 0.7099, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.5270758122743683, |
|
"eval_loss": 0.697836697101593, |
|
"eval_runtime": 0.5089, |
|
"eval_samples_per_second": 544.326, |
|
"eval_steps_per_second": 5.895, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"learning_rate": 0.00046, |
|
"loss": 0.7064, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.4729241877256318, |
|
"eval_loss": 0.6937753558158875, |
|
"eval_runtime": 0.507, |
|
"eval_samples_per_second": 546.375, |
|
"eval_steps_per_second": 5.917, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"learning_rate": 0.00045000000000000004, |
|
"loss": 0.7008, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy": 0.5270758122743683, |
|
"eval_loss": 0.6991623640060425, |
|
"eval_runtime": 0.5084, |
|
"eval_samples_per_second": 544.873, |
|
"eval_steps_per_second": 5.901, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"learning_rate": 0.00044, |
|
"loss": 0.7007, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_accuracy": 0.4729241877256318, |
|
"eval_loss": 0.7100631594657898, |
|
"eval_runtime": 0.5105, |
|
"eval_samples_per_second": 542.584, |
|
"eval_steps_per_second": 5.876, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"learning_rate": 0.00043, |
|
"loss": 0.696, |
|
"step": 140 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"eval_accuracy": 0.4729241877256318, |
|
"eval_loss": 0.699120044708252, |
|
"eval_runtime": 0.5094, |
|
"eval_samples_per_second": 543.815, |
|
"eval_steps_per_second": 5.89, |
|
"step": 140 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"step": 140, |
|
"total_flos": 2581326716731392.0, |
|
"train_loss": 1.4164232867104667, |
|
"train_runtime": 117.9285, |
|
"train_samples_per_second": 1055.725, |
|
"train_steps_per_second": 8.48 |
|
} |
|
], |
|
"max_steps": 1000, |
|
"num_train_epochs": 50, |
|
"total_flos": 2581326716731392.0, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|