tiny_bert_rand_20_v2_mrpc / trainer_state.json
Hartunka's picture
End of training
89b5969 verified
{
"best_global_step": 30,
"best_metric": 0.5912344455718994,
"best_model_checkpoint": "tiny_bert_rand_20_v2_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": 0.7157958149909973,
"learning_rate": 4.9e-05,
"loss": 0.6287,
"step": 15
},
{
"epoch": 1.0,
"eval_accuracy": 0.7058823529411765,
"eval_combined_score": 0.7623067353829749,
"eval_f1": 0.8187311178247734,
"eval_loss": 0.6033313870429993,
"eval_runtime": 0.1374,
"eval_samples_per_second": 2970.439,
"eval_steps_per_second": 14.561,
"step": 15
},
{
"epoch": 2.0,
"grad_norm": 1.1318848133087158,
"learning_rate": 4.8e-05,
"loss": 0.5917,
"step": 30
},
{
"epoch": 2.0,
"eval_accuracy": 0.6936274509803921,
"eval_combined_score": 0.7499145006839945,
"eval_f1": 0.8062015503875969,
"eval_loss": 0.5912344455718994,
"eval_runtime": 0.1309,
"eval_samples_per_second": 3117.538,
"eval_steps_per_second": 15.282,
"step": 30
},
{
"epoch": 3.0,
"grad_norm": 0.9104712605476379,
"learning_rate": 4.7e-05,
"loss": 0.5567,
"step": 45
},
{
"epoch": 3.0,
"eval_accuracy": 0.6887254901960784,
"eval_combined_score": 0.744988723188806,
"eval_f1": 0.8012519561815337,
"eval_loss": 0.6026718616485596,
"eval_runtime": 0.1405,
"eval_samples_per_second": 2904.554,
"eval_steps_per_second": 14.238,
"step": 45
},
{
"epoch": 4.0,
"grad_norm": 2.6262362003326416,
"learning_rate": 4.600000000000001e-05,
"loss": 0.5147,
"step": 60
},
{
"epoch": 4.0,
"eval_accuracy": 0.6764705882352942,
"eval_combined_score": 0.7177973379132675,
"eval_f1": 0.7591240875912408,
"eval_loss": 0.6323015093803406,
"eval_runtime": 0.139,
"eval_samples_per_second": 2934.845,
"eval_steps_per_second": 14.386,
"step": 60
},
{
"epoch": 5.0,
"grad_norm": 3.4019546508789062,
"learning_rate": 4.5e-05,
"loss": 0.4186,
"step": 75
},
{
"epoch": 5.0,
"eval_accuracy": 0.6691176470588235,
"eval_combined_score": 0.7120542863243301,
"eval_f1": 0.7549909255898367,
"eval_loss": 0.6770791411399841,
"eval_runtime": 0.142,
"eval_samples_per_second": 2873.284,
"eval_steps_per_second": 14.085,
"step": 75
},
{
"epoch": 6.0,
"grad_norm": 2.541828155517578,
"learning_rate": 4.4000000000000006e-05,
"loss": 0.3291,
"step": 90
},
{
"epoch": 6.0,
"eval_accuracy": 0.6715686274509803,
"eval_combined_score": 0.7121680775631285,
"eval_f1": 0.7527675276752768,
"eval_loss": 0.7956589460372925,
"eval_runtime": 0.1311,
"eval_samples_per_second": 3113.251,
"eval_steps_per_second": 15.261,
"step": 90
},
{
"epoch": 7.0,
"grad_norm": 4.177097320556641,
"learning_rate": 4.3e-05,
"loss": 0.242,
"step": 105
},
{
"epoch": 7.0,
"eval_accuracy": 0.6372549019607843,
"eval_combined_score": 0.6774060769345907,
"eval_f1": 0.7175572519083969,
"eval_loss": 0.9224784970283508,
"eval_runtime": 0.1516,
"eval_samples_per_second": 2691.291,
"eval_steps_per_second": 13.193,
"step": 105
},
{
"epoch": 7.0,
"step": 105,
"total_flos": 673316591603712.0,
"train_loss": 0.4687800475529262,
"train_runtime": 20.0012,
"train_samples_per_second": 9169.437,
"train_steps_per_second": 37.498
}
],
"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
}