xshubhamx's picture
Upload folder using huggingface_hub
9c6bfa6 verified
raw
history blame
4.52 kB
{
"best_metric": 0.722931923188587,
"best_model_checkpoint": "xlnet-base-cased/checkpoint-1929",
"epoch": 4.0,
"eval_steps": 500,
"global_step": 2572,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.78,
"learning_rate": 4.871695178849145e-05,
"loss": 1.2613,
"step": 500
},
{
"epoch": 1.0,
"eval_accuracy": 0.7676219984508134,
"eval_f1_macro": 0.4818756771742453,
"eval_f1_micro": 0.7676219984508135,
"eval_f1_weighted": 0.7524385212708887,
"eval_loss": 0.775787353515625,
"eval_macro_fpr": 0.022019799606126652,
"eval_macro_sensitivity": 0.5128622254580788,
"eval_macro_specificity": 0.9823717840367622,
"eval_precision": 0.7672637518290021,
"eval_precision_macro": 0.5269420024270713,
"eval_recall": 0.7676219984508134,
"eval_recall_macro": 0.5128622254580788,
"eval_runtime": 65.0712,
"eval_samples_per_second": 19.84,
"eval_steps_per_second": 2.49,
"eval_weighted_fpr": 0.021165514321998025,
"eval_weighted_sensitivity": 0.7676219984508134,
"eval_weighted_specificity": 0.9679547621006213,
"step": 643
},
{
"epoch": 1.56,
"learning_rate": 4.7420943494038366e-05,
"loss": 0.7364,
"step": 1000
},
{
"epoch": 2.0,
"eval_accuracy": 0.8071262587141751,
"eval_f1_macro": 0.701878478303997,
"eval_f1_micro": 0.8071262587141751,
"eval_f1_weighted": 0.8012788916547595,
"eval_loss": 0.6754755973815918,
"eval_macro_fpr": 0.01739858713969909,
"eval_macro_sensitivity": 0.6971761972643127,
"eval_macro_specificity": 0.9854830758512745,
"eval_precision": 0.8087721671110009,
"eval_precision_macro": 0.7425135911700289,
"eval_recall": 0.8071262587141751,
"eval_recall_macro": 0.6971761972643127,
"eval_runtime": 86.774,
"eval_samples_per_second": 14.878,
"eval_steps_per_second": 1.867,
"eval_weighted_fpr": 0.016782368403316036,
"eval_weighted_sensitivity": 0.8071262587141751,
"eval_weighted_specificity": 0.9751198790549438,
"step": 1286
},
{
"epoch": 2.33,
"learning_rate": 4.612493519958528e-05,
"loss": 0.6021,
"step": 1500
},
{
"epoch": 3.0,
"eval_accuracy": 0.8063516653756778,
"eval_f1_macro": 0.722931923188587,
"eval_f1_micro": 0.8063516653756778,
"eval_f1_weighted": 0.8013697737227732,
"eval_loss": 0.8442708253860474,
"eval_macro_fpr": 0.01757802934678216,
"eval_macro_sensitivity": 0.7262014539622089,
"eval_macro_specificity": 0.9852110484486459,
"eval_precision": 0.8016312862866737,
"eval_precision_macro": 0.7269969408457856,
"eval_recall": 0.8063516653756778,
"eval_recall_macro": 0.7262014539622089,
"eval_runtime": 89.8454,
"eval_samples_per_second": 14.369,
"eval_steps_per_second": 1.803,
"eval_weighted_fpr": 0.01686454398273071,
"eval_weighted_sensitivity": 0.8063516653756778,
"eval_weighted_specificity": 0.9718140613540133,
"step": 1929
},
{
"epoch": 3.11,
"learning_rate": 4.4828926905132196e-05,
"loss": 0.5435,
"step": 2000
},
{
"epoch": 3.89,
"learning_rate": 4.353551062726802e-05,
"loss": 0.4361,
"step": 2500
},
{
"epoch": 4.0,
"eval_accuracy": 0.8001549186676995,
"eval_f1_macro": 0.7051095861561788,
"eval_f1_micro": 0.8001549186676995,
"eval_f1_weighted": 0.7970808578587494,
"eval_loss": 0.8849796056747437,
"eval_macro_fpr": 0.017973543700983616,
"eval_macro_sensitivity": 0.704754303632947,
"eval_macro_specificity": 0.984883284344937,
"eval_precision": 0.8001040615771999,
"eval_precision_macro": 0.716655759638538,
"eval_recall": 0.8001549186676995,
"eval_recall_macro": 0.704754303632947,
"eval_runtime": 88.029,
"eval_samples_per_second": 14.666,
"eval_steps_per_second": 1.84,
"eval_weighted_fpr": 0.017527173913043478,
"eval_weighted_sensitivity": 0.8001549186676995,
"eval_weighted_specificity": 0.9730943465063553,
"step": 2572
}
],
"logging_steps": 500,
"max_steps": 19290,
"num_train_epochs": 30,
"save_steps": 500,
"total_flos": 5855490673385472.0,
"trial_name": null,
"trial_params": null
}