tiny_bert_km_5_v1_mrpc / trainer_state.json
Hartunka's picture
End of training
9462061 verified
{
"best_global_step": 30,
"best_metric": 0.5967610478401184,
"best_model_checkpoint": "tiny_bert_km_5_v1_mrpc/checkpoint-30",
"epoch": 7.0,
"eval_steps": 500,
"global_step": 105,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"grad_norm": 0.9092402458190918,
"learning_rate": 4.9e-05,
"loss": 0.6303,
"step": 15
},
{
"epoch": 1.0,
"eval_accuracy": 0.696078431372549,
"eval_combined_score": 0.7529471911463972,
"eval_f1": 0.8098159509202454,
"eval_loss": 0.6028932929039001,
"eval_runtime": 0.1364,
"eval_samples_per_second": 2990.952,
"eval_steps_per_second": 14.662,
"step": 15
},
{
"epoch": 2.0,
"grad_norm": 1.167948603630066,
"learning_rate": 4.8e-05,
"loss": 0.5897,
"step": 30
},
{
"epoch": 2.0,
"eval_accuracy": 0.6936274509803921,
"eval_combined_score": 0.7508075810969549,
"eval_f1": 0.8079877112135176,
"eval_loss": 0.5967610478401184,
"eval_runtime": 0.1412,
"eval_samples_per_second": 2889.795,
"eval_steps_per_second": 14.166,
"step": 30
},
{
"epoch": 3.0,
"grad_norm": 0.9850865602493286,
"learning_rate": 4.7e-05,
"loss": 0.5512,
"step": 45
},
{
"epoch": 3.0,
"eval_accuracy": 0.6936274509803921,
"eval_combined_score": 0.7522600189849011,
"eval_f1": 0.81089258698941,
"eval_loss": 0.6064477562904358,
"eval_runtime": 0.1457,
"eval_samples_per_second": 2799.386,
"eval_steps_per_second": 13.722,
"step": 45
},
{
"epoch": 4.0,
"grad_norm": 1.3615449666976929,
"learning_rate": 4.600000000000001e-05,
"loss": 0.5077,
"step": 60
},
{
"epoch": 4.0,
"eval_accuracy": 0.6911764705882353,
"eval_combined_score": 0.7380797028709094,
"eval_f1": 0.7849829351535836,
"eval_loss": 0.625641405582428,
"eval_runtime": 0.133,
"eval_samples_per_second": 3068.15,
"eval_steps_per_second": 15.04,
"step": 60
},
{
"epoch": 5.0,
"grad_norm": 2.8198459148406982,
"learning_rate": 4.5e-05,
"loss": 0.4312,
"step": 75
},
{
"epoch": 5.0,
"eval_accuracy": 0.678921568627451,
"eval_combined_score": 0.7282553513765438,
"eval_f1": 0.7775891341256367,
"eval_loss": 0.6735367178916931,
"eval_runtime": 0.1322,
"eval_samples_per_second": 3085.192,
"eval_steps_per_second": 15.123,
"step": 75
},
{
"epoch": 6.0,
"grad_norm": 2.6575522422790527,
"learning_rate": 4.4000000000000006e-05,
"loss": 0.3364,
"step": 90
},
{
"epoch": 6.0,
"eval_accuracy": 0.6813725490196079,
"eval_combined_score": 0.7282295271049597,
"eval_f1": 0.7750865051903114,
"eval_loss": 0.7616596817970276,
"eval_runtime": 0.1312,
"eval_samples_per_second": 3109.02,
"eval_steps_per_second": 15.24,
"step": 90
},
{
"epoch": 7.0,
"grad_norm": 4.018059253692627,
"learning_rate": 4.3e-05,
"loss": 0.2516,
"step": 105
},
{
"epoch": 7.0,
"eval_accuracy": 0.6372549019607843,
"eval_combined_score": 0.6888028895768834,
"eval_f1": 0.7403508771929824,
"eval_loss": 0.8654133677482605,
"eval_runtime": 0.1519,
"eval_samples_per_second": 2685.121,
"eval_steps_per_second": 13.162,
"step": 105
},
{
"epoch": 7.0,
"step": 105,
"total_flos": 673316591603712.0,
"train_loss": 0.4711543469201951,
"train_runtime": 19.9202,
"train_samples_per_second": 9206.727,
"train_steps_per_second": 37.65
}
],
"logging_steps": 1,
"max_steps": 750,
"num_input_tokens_seen": 0,
"num_train_epochs": 50,
"save_steps": 500,
"stateful_callbacks": {
"EarlyStoppingCallback": {
"args": {
"early_stopping_patience": 5,
"early_stopping_threshold": 0.0
},
"attributes": {
"early_stopping_patience_counter": 5
}
},
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 673316591603712.0,
"train_batch_size": 256,
"trial_name": null,
"trial_params": null
}