MsIssuesBERT / run-2 /checkpoint-2000 /trainer_state.json
YagiASAFAS's picture
Training in progress, epoch 2
984ba7f verified
Invalid JSON: Unexpected token 'N', ..."al_loss": NaN, "... is not valid JSON
{
"best_global_step": 2000,
"best_metric": 0.7884819842273197,
"best_model_checkpoint": "./results/run-2/checkpoint-2000",
"epoch": 2.0,
"eval_steps": 500,
"global_step": 2000,
"is_hyper_param_search": true,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.1,
"grad_norm": 3.6001648902893066,
"learning_rate": 3.1887409174919234e-06,
"loss": 0.0412,
"step": 100
},
{
"epoch": 0.2,
"grad_norm": 0.6239789128303528,
"learning_rate": 6.409691339200936e-06,
"loss": 0.1091,
"step": 200
},
{
"epoch": 0.3,
"grad_norm": 0.6479267477989197,
"learning_rate": 9.63064176090995e-06,
"loss": 0.0,
"step": 300
},
{
"epoch": 0.4,
"grad_norm": 20.527082443237305,
"learning_rate": 1.054959200884952e-05,
"loss": 0.0,
"step": 400
},
{
"epoch": 0.5,
"grad_norm": 0.8853731751441956,
"learning_rate": 1.0481970753745042e-05,
"loss": 0.0,
"step": 500
},
{
"epoch": 0.6,
"grad_norm": 1.839735507965088,
"learning_rate": 1.0414349498640566e-05,
"loss": 0.0,
"step": 600
},
{
"epoch": 0.7,
"grad_norm": 2.7137391567230225,
"learning_rate": 1.0346728243536088e-05,
"loss": 0.0284,
"step": 700
},
{
"epoch": 0.8,
"grad_norm": 0.6026535630226135,
"learning_rate": 1.027910698843161e-05,
"loss": 0.1612,
"step": 800
},
{
"epoch": 0.9,
"grad_norm": 0.5444966554641724,
"learning_rate": 1.0211485733327134e-05,
"loss": 0.0,
"step": 900
},
{
"epoch": 1.0,
"grad_norm": 1.2413469552993774,
"learning_rate": 1.0143864478222655e-05,
"loss": 0.0986,
"step": 1000
},
{
"epoch": 1.0,
"eval_economic_inequality_accuracy": 0.8047858942065491,
"eval_economic_inequality_f1": 0.7538941327354425,
"eval_economic_policy_benefits_accuracy": 0.8282828282828283,
"eval_economic_policy_benefits_f1": 0.764129475069552,
"eval_ethnic_boundaries_accuracy": 0.9493464052287581,
"eval_ethnic_boundaries_f1": 0.9281293325410972,
"eval_language_policy_accuracy": 0.7058823529411765,
"eval_language_policy_f1": 0.6071428571428571,
"eval_loss": NaN,
"eval_mother_tongue_education_accuracy": 0.8888888888888888,
"eval_mother_tongue_education_f1": 0.837037037037037,
"eval_overall_accuracy": 0.8390088178776338,
"eval_overall_f1": 0.7839408748610676,
"eval_religion_ethnic_identity_accuracy": 0.8568665377176016,
"eval_religion_ethnic_identity_f1": 0.8133124146404199,
"eval_runtime": 4.4593,
"eval_samples_per_second": 897.004,
"eval_steps_per_second": 56.063,
"step": 1000
},
{
"epoch": 1.1,
"grad_norm": 0.5792437195777893,
"learning_rate": 1.0076243223118178e-05,
"loss": 0.0,
"step": 1100
},
{
"epoch": 1.2,
"grad_norm": 8.802961349487305,
"learning_rate": 1.0008621968013701e-05,
"loss": 0.0297,
"step": 1200
},
{
"epoch": 1.3,
"grad_norm": 3.981771469116211,
"learning_rate": 9.941000712909224e-06,
"loss": 0.0,
"step": 1300
},
{
"epoch": 1.4,
"grad_norm": 0.9215607047080994,
"learning_rate": 9.873379457804745e-06,
"loss": 0.263,
"step": 1400
},
{
"epoch": 1.5,
"grad_norm": 1.5474179983139038,
"learning_rate": 9.805758202700268e-06,
"loss": 0.0,
"step": 1500
},
{
"epoch": 1.6,
"grad_norm": 1.1813520193099976,
"learning_rate": 9.738136947595791e-06,
"loss": 0.0,
"step": 1600
},
{
"epoch": 1.7,
"grad_norm": 5.511495113372803,
"learning_rate": 9.670515692491313e-06,
"loss": 0.0037,
"step": 1700
},
{
"epoch": 1.8,
"grad_norm": 3.1629152297973633,
"learning_rate": 9.602894437386836e-06,
"loss": 0.0027,
"step": 1800
},
{
"epoch": 1.9,
"grad_norm": 0.6996293663978577,
"learning_rate": 9.535273182282359e-06,
"loss": 19.1531,
"step": 1900
},
{
"epoch": 2.0,
"grad_norm": 1.3346213102340698,
"learning_rate": 9.467651927177882e-06,
"loss": 2.9418,
"step": 2000
},
{
"epoch": 2.0,
"eval_economic_inequality_accuracy": 0.7896725440806045,
"eval_economic_inequality_f1": 0.7951291586358689,
"eval_economic_policy_benefits_accuracy": 0.8148148148148148,
"eval_economic_policy_benefits_f1": 0.8131577832835695,
"eval_ethnic_boundaries_accuracy": 0.9264705882352942,
"eval_ethnic_boundaries_f1": 0.9324831159457648,
"eval_language_policy_accuracy": 0.7058823529411765,
"eval_language_policy_f1": 0.6071428571428571,
"eval_loss": NaN,
"eval_mother_tongue_education_accuracy": 0.7777777777777778,
"eval_mother_tongue_education_f1": 0.7407407407407408,
"eval_overall_accuracy": 0.8103022392805538,
"eval_overall_f1": 0.7884819842273197,
"eval_religion_ethnic_identity_accuracy": 0.8471953578336557,
"eval_religion_ethnic_identity_f1": 0.8422382496151178,
"eval_runtime": 4.499,
"eval_samples_per_second": 889.087,
"eval_steps_per_second": 55.568,
"step": 2000
}
],
"logging_steps": 100,
"max_steps": 16000,
"num_input_tokens_seen": 0,
"num_train_epochs": 16,
"save_steps": 500,
"stateful_callbacks": {
"EarlyStoppingCallback": {
"args": {
"early_stopping_patience": 2,
"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": 8420763303936000.0,
"train_batch_size": 8,
"trial_name": null,
"trial_params": {
"gradient_accumulation_steps": 2,
"learning_rate": 1.0596926887422654e-05,
"num_train_epochs": 16,
"per_device_train_batch_size": 8,
"warmup_steps": 329,
"weight_decay": 0.059185379025811405
}
}