mbert-hsd-span / checkpoint-1890 /trainer_state.json
AnnyNguyen's picture
Upload checkpoint-1890/trainer_state.json with huggingface_hub
c1a555a verified
{
"best_global_step": 1890,
"best_metric": 0.8640991774392113,
"best_model_checkpoint": "outputs/runs/mbert/checkpoint-1890",
"epoch": 6.0,
"eval_steps": 500,
"global_step": 1890,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.9968253968253968,
"grad_norm": 2.8764171600341797,
"learning_rate": 4.999432333543028e-06,
"loss": 0.3922,
"step": 314
},
{
"epoch": 1.0,
"eval_accuracy": 0.8576303179904168,
"eval_f1": 0.8463278723071122,
"eval_loss": 0.34177419543266296,
"eval_precision": 0.8663865734795833,
"eval_recall": 0.8368564126768949,
"eval_runtime": 1.539,
"eval_samples_per_second": 845.341,
"eval_steps_per_second": 26.64,
"step": 315
},
{
"epoch": 1.9936507936507937,
"grad_norm": 3.1037893295288086,
"learning_rate": 4.996525669931999e-06,
"loss": 0.2939,
"step": 628
},
{
"epoch": 2.0,
"eval_accuracy": 0.862621605924205,
"eval_f1": 0.8567911162439183,
"eval_loss": 0.30715054273605347,
"eval_precision": 0.8570806369874044,
"eval_recall": 0.8565085419444378,
"eval_runtime": 1.5519,
"eval_samples_per_second": 838.327,
"eval_steps_per_second": 26.419,
"step": 630
},
{
"epoch": 2.9904761904761905,
"grad_norm": 2.2518210411071777,
"learning_rate": 4.991155236893945e-06,
"loss": 0.2786,
"step": 942
},
{
"epoch": 3.0,
"eval_accuracy": 0.8685930013068099,
"eval_f1": 0.8614307154654214,
"eval_loss": 0.3059610426425934,
"eval_precision": 0.8669559804904288,
"eval_recall": 0.8574043561902019,
"eval_runtime": 1.5527,
"eval_samples_per_second": 837.903,
"eval_steps_per_second": 26.406,
"step": 945
},
{
"epoch": 3.9873015873015873,
"grad_norm": 5.058016777038574,
"learning_rate": 4.983326334397891e-06,
"loss": 0.2663,
"step": 1256
},
{
"epoch": 4.0,
"eval_accuracy": 0.8673224916509366,
"eval_f1": 0.8565473676548805,
"eval_loss": 0.3232356607913971,
"eval_precision": 0.8784162677513533,
"eval_recall": 0.8463548582123183,
"eval_runtime": 1.5544,
"eval_samples_per_second": 836.995,
"eval_steps_per_second": 26.377,
"step": 1260
},
{
"epoch": 4.984126984126984,
"grad_norm": 7.031896591186523,
"learning_rate": 4.97304668862541e-06,
"loss": 0.2563,
"step": 1570
},
{
"epoch": 5.0,
"eval_accuracy": 0.8691012051691593,
"eval_f1": 0.8625756064004395,
"eval_loss": 0.300201952457428,
"eval_precision": 0.8658918299079369,
"eval_recall": 0.8598985796226895,
"eval_runtime": 1.5582,
"eval_samples_per_second": 834.947,
"eval_steps_per_second": 26.313,
"step": 1575
},
{
"epoch": 5.980952380952381,
"grad_norm": 10.076984405517578,
"learning_rate": 4.9603264443458e-06,
"loss": 0.2436,
"step": 1884
},
{
"epoch": 6.0,
"eval_accuracy": 0.8702991142732684,
"eval_f1": 0.8640991774392113,
"eval_loss": 0.29937663674354553,
"eval_precision": 0.8665212130630453,
"eval_recall": 0.8620456410474242,
"eval_runtime": 1.5549,
"eval_samples_per_second": 836.703,
"eval_steps_per_second": 26.368,
"step": 1890
}
],
"logging_steps": 314,
"max_steps": 31500,
"num_input_tokens_seen": 0,
"num_train_epochs": 100,
"save_steps": 500,
"stateful_callbacks": {
"EarlyStoppingCallback": {
"args": {
"early_stopping_patience": 5,
"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": 1974227645518848.0,
"train_batch_size": 32,
"trial_name": null,
"trial_params": null
}