SecureBERT-DNRTI / trainer_state.json
Anonymous
Upload folder using huggingface_hub
b4af5c1
raw
history blame
7.07 kB
{
"best_metric": 0.2427176833152771,
"best_model_checkpoint": "/content/dnrti_securebert/checkpoint-4500",
"epoch": 10.0,
"eval_steps": 500,
"global_step": 6570,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.76,
"learning_rate": 1.8477929984779303e-05,
"loss": 0.7821,
"step": 500
},
{
"epoch": 0.76,
"eval_accuracy": 0.8744877049180327,
"eval_f1": 0.5547161666306928,
"eval_loss": 0.4215104579925537,
"eval_precision": 0.5219333874898456,
"eval_recall": 0.5918931368033165,
"eval_runtime": 3.0633,
"eval_samples_per_second": 215.778,
"eval_steps_per_second": 27.095,
"step": 500
},
{
"epoch": 1.52,
"learning_rate": 1.69558599695586e-05,
"loss": 0.3559,
"step": 1000
},
{
"epoch": 1.52,
"eval_accuracy": 0.900785519125683,
"eval_f1": 0.6425522354527072,
"eval_loss": 0.31522974371910095,
"eval_precision": 0.6271929824561403,
"eval_recall": 0.6586826347305389,
"eval_runtime": 2.5699,
"eval_samples_per_second": 257.203,
"eval_steps_per_second": 32.296,
"step": 1000
},
{
"epoch": 2.28,
"learning_rate": 1.54337899543379e-05,
"loss": 0.2807,
"step": 1500
},
{
"epoch": 2.28,
"eval_accuracy": 0.9084130236794171,
"eval_f1": 0.681571521597569,
"eval_loss": 0.29523420333862305,
"eval_precision": 0.6444991789819376,
"eval_recall": 0.7231690465223399,
"eval_runtime": 2.6375,
"eval_samples_per_second": 250.619,
"eval_steps_per_second": 31.47,
"step": 1500
},
{
"epoch": 3.04,
"learning_rate": 1.39117199391172e-05,
"loss": 0.2272,
"step": 2000
},
{
"epoch": 3.04,
"eval_accuracy": 0.9160974499089253,
"eval_f1": 0.707285342584562,
"eval_loss": 0.2793317437171936,
"eval_precision": 0.6681687832855387,
"eval_recall": 0.7512666973744818,
"eval_runtime": 3.0401,
"eval_samples_per_second": 217.427,
"eval_steps_per_second": 27.302,
"step": 2000
},
{
"epoch": 3.81,
"learning_rate": 1.2389649923896501e-05,
"loss": 0.1837,
"step": 2500
},
{
"epoch": 3.81,
"eval_accuracy": 0.9258310564663024,
"eval_f1": 0.7333931777378815,
"eval_loss": 0.2489345222711563,
"eval_precision": 0.7150984682713348,
"eval_recall": 0.7526485490557346,
"eval_runtime": 2.5725,
"eval_samples_per_second": 256.952,
"eval_steps_per_second": 32.265,
"step": 2500
},
{
"epoch": 4.57,
"learning_rate": 1.08675799086758e-05,
"loss": 0.1497,
"step": 3000
},
{
"epoch": 4.57,
"eval_accuracy": 0.9285632969034608,
"eval_f1": 0.7529359627742077,
"eval_loss": 0.25113749504089355,
"eval_precision": 0.7254483347566183,
"eval_recall": 0.7825886688162137,
"eval_runtime": 2.9682,
"eval_samples_per_second": 222.691,
"eval_steps_per_second": 27.963,
"step": 3000
},
{
"epoch": 5.33,
"learning_rate": 9.3455098934551e-06,
"loss": 0.1371,
"step": 3500
},
{
"epoch": 5.33,
"eval_accuracy": 0.9331170309653917,
"eval_f1": 0.7587294435683712,
"eval_loss": 0.24962495267391205,
"eval_precision": 0.7425044091710759,
"eval_recall": 0.7756794104099494,
"eval_runtime": 2.5966,
"eval_samples_per_second": 254.564,
"eval_steps_per_second": 31.965,
"step": 3500
},
{
"epoch": 6.09,
"learning_rate": 7.823439878234399e-06,
"loss": 0.1135,
"step": 4000
},
{
"epoch": 6.09,
"eval_accuracy": 0.9325478142076503,
"eval_f1": 0.7661713286713285,
"eval_loss": 0.25536227226257324,
"eval_precision": 0.7288981288981289,
"eval_recall": 0.8074619990787656,
"eval_runtime": 2.5496,
"eval_samples_per_second": 259.252,
"eval_steps_per_second": 32.554,
"step": 4000
},
{
"epoch": 6.85,
"learning_rate": 6.301369863013699e-06,
"loss": 0.1018,
"step": 4500
},
{
"epoch": 6.85,
"eval_accuracy": 0.9382399817850637,
"eval_f1": 0.7772965580123091,
"eval_loss": 0.2427176833152771,
"eval_precision": 0.769404332129964,
"eval_recall": 0.7853523721787194,
"eval_runtime": 2.5904,
"eval_samples_per_second": 255.175,
"eval_steps_per_second": 32.042,
"step": 4500
},
{
"epoch": 7.61,
"learning_rate": 4.779299847792998e-06,
"loss": 0.0899,
"step": 5000
},
{
"epoch": 7.61,
"eval_accuracy": 0.9377846083788707,
"eval_f1": 0.7864271457085829,
"eval_loss": 0.2516387104988098,
"eval_precision": 0.7583404619332763,
"eval_recall": 0.8166743436204514,
"eval_runtime": 2.5729,
"eval_samples_per_second": 256.912,
"eval_steps_per_second": 32.26,
"step": 5000
},
{
"epoch": 8.37,
"learning_rate": 3.2572298325722984e-06,
"loss": 0.0809,
"step": 5500
},
{
"epoch": 8.37,
"eval_accuracy": 0.9405737704918032,
"eval_f1": 0.7940058152538582,
"eval_loss": 0.24588441848754883,
"eval_precision": 0.7717391304347826,
"eval_recall": 0.81759557807462,
"eval_runtime": 2.5675,
"eval_samples_per_second": 257.446,
"eval_steps_per_second": 32.327,
"step": 5500
},
{
"epoch": 9.13,
"learning_rate": 1.7351598173515982e-06,
"loss": 0.0763,
"step": 6000
},
{
"epoch": 9.13,
"eval_accuracy": 0.9392076502732241,
"eval_f1": 0.7852112676056338,
"eval_loss": 0.2552666962146759,
"eval_precision": 0.7517909818794775,
"eval_recall": 0.8217411331183786,
"eval_runtime": 2.7364,
"eval_samples_per_second": 241.554,
"eval_steps_per_second": 30.331,
"step": 6000
},
{
"epoch": 9.89,
"learning_rate": 2.1308980213089802e-07,
"loss": 0.0687,
"step": 6500
},
{
"epoch": 9.89,
"eval_accuracy": 0.9406876138433515,
"eval_f1": 0.790150842945874,
"eval_loss": 0.2534164488315582,
"eval_precision": 0.7620881471972615,
"eval_recall": 0.8203592814371258,
"eval_runtime": 3.0206,
"eval_samples_per_second": 218.833,
"eval_steps_per_second": 27.478,
"step": 6500
},
{
"epoch": 10.0,
"step": 6570,
"total_flos": 1395895287387240.0,
"train_loss": 0.20224008327931212,
"train_runtime": 907.9488,
"train_samples_per_second": 57.823,
"train_steps_per_second": 7.236
}
],
"logging_steps": 500,
"max_steps": 6570,
"num_train_epochs": 10,
"save_steps": 500,
"total_flos": 1395895287387240.0,
"trial_name": null,
"trial_params": null
}