adv_secure_v2 / checkpoint-630 /trainer_state.json
alpha-max's picture
Upload PubMedBERT telemedicine adversarial detection model v2
b83eb50 verified
{
"best_global_step": 630,
"best_metric": 0.9989594172736732,
"best_model_checkpoint": "/content/pubmedbert_telemedicine_model/checkpoint-630",
"epoch": 3.0,
"eval_steps": 500,
"global_step": 630,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.23809523809523808,
"grad_norm": 6.141483783721924,
"learning_rate": 1.9600000000000003e-06,
"loss": 0.6913,
"step": 50
},
{
"epoch": 0.47619047619047616,
"grad_norm": 5.5242719650268555,
"learning_rate": 3.96e-06,
"loss": 0.4234,
"step": 100
},
{
"epoch": 0.7142857142857143,
"grad_norm": 7.910869598388672,
"learning_rate": 5.9600000000000005e-06,
"loss": 0.1772,
"step": 150
},
{
"epoch": 0.9523809523809523,
"grad_norm": 0.15211565792560577,
"learning_rate": 7.960000000000002e-06,
"loss": 0.0432,
"step": 200
},
{
"epoch": 1.0,
"eval_accuracy": 0.9937565036420395,
"eval_f1": 0.9937563684276723,
"eval_loss": 0.030338821932673454,
"eval_precision": 0.993790669877271,
"eval_recall": 0.9937565036420395,
"eval_runtime": 1.735,
"eval_samples_per_second": 553.887,
"eval_steps_per_second": 35.158,
"step": 210
},
{
"epoch": 1.1904761904761905,
"grad_norm": 0.12918557226657867,
"learning_rate": 9.960000000000001e-06,
"loss": 0.0145,
"step": 250
},
{
"epoch": 1.4285714285714286,
"grad_norm": 0.770988941192627,
"learning_rate": 1.196e-05,
"loss": 0.0192,
"step": 300
},
{
"epoch": 1.6666666666666665,
"grad_norm": 0.2780894637107849,
"learning_rate": 1.396e-05,
"loss": 0.0134,
"step": 350
},
{
"epoch": 1.9047619047619047,
"grad_norm": 0.010402346029877663,
"learning_rate": 1.5960000000000003e-05,
"loss": 0.0062,
"step": 400
},
{
"epoch": 2.0,
"eval_accuracy": 0.9968782518210197,
"eval_f1": 0.9968782450604551,
"eval_loss": 0.013902434147894382,
"eval_precision": 0.9968803971851417,
"eval_recall": 0.9968782518210197,
"eval_runtime": 1.735,
"eval_samples_per_second": 553.875,
"eval_steps_per_second": 35.158,
"step": 420
},
{
"epoch": 2.142857142857143,
"grad_norm": 0.015549360774457455,
"learning_rate": 1.796e-05,
"loss": 0.0084,
"step": 450
},
{
"epoch": 2.380952380952381,
"grad_norm": 0.004298510495573282,
"learning_rate": 1.9960000000000002e-05,
"loss": 0.0005,
"step": 500
},
{
"epoch": 2.619047619047619,
"grad_norm": 0.005786629859358072,
"learning_rate": 1.821818181818182e-05,
"loss": 0.0081,
"step": 550
},
{
"epoch": 2.857142857142857,
"grad_norm": 0.08662544935941696,
"learning_rate": 1.64e-05,
"loss": 0.0185,
"step": 600
},
{
"epoch": 3.0,
"eval_accuracy": 0.9989594172736732,
"eval_f1": 0.9989594172736732,
"eval_loss": 0.008851713500916958,
"eval_precision": 0.9989615806473247,
"eval_recall": 0.9989594172736732,
"eval_runtime": 1.8568,
"eval_samples_per_second": 517.545,
"eval_steps_per_second": 32.851,
"step": 630
}
],
"logging_steps": 50,
"max_steps": 1050,
"num_input_tokens_seen": 0,
"num_train_epochs": 5,
"save_steps": 500,
"stateful_callbacks": {
"EarlyStoppingCallback": {
"args": {
"early_stopping_patience": 1,
"early_stopping_threshold": 0.0
},
"attributes": {
"early_stopping_patience_counter": 0
}
},
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 165710631553920.0,
"train_batch_size": 16,
"trial_name": null,
"trial_params": null
}