tiny_bert_rand_10_v1_qqp / trainer_state.json
Hartunka's picture
End of training
09aeffa verified
{
"best_global_step": 2844,
"best_metric": 0.41833943128585815,
"best_model_checkpoint": "tiny_bert_rand_10_v1_qqp/checkpoint-2844",
"epoch": 7.0,
"eval_steps": 500,
"global_step": 9954,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"grad_norm": 1.6271923780441284,
"learning_rate": 4.9e-05,
"loss": 0.4957,
"step": 1422
},
{
"epoch": 1.0,
"eval_accuracy": 0.7827850605985655,
"eval_combined_score": 0.7276225765472314,
"eval_f1": 0.6724600924958973,
"eval_loss": 0.4516511857509613,
"eval_runtime": 12.0702,
"eval_samples_per_second": 3349.569,
"eval_steps_per_second": 13.09,
"step": 1422
},
{
"epoch": 2.0,
"grad_norm": 2.40657639503479,
"learning_rate": 4.8e-05,
"loss": 0.4048,
"step": 2844
},
{
"epoch": 2.0,
"eval_accuracy": 0.8025476131585456,
"eval_combined_score": 0.7654761676856587,
"eval_f1": 0.7284047222127717,
"eval_loss": 0.41833943128585815,
"eval_runtime": 11.8057,
"eval_samples_per_second": 3424.62,
"eval_steps_per_second": 13.383,
"step": 2844
},
{
"epoch": 3.0,
"grad_norm": 3.13236141204834,
"learning_rate": 4.7e-05,
"loss": 0.3455,
"step": 4266
},
{
"epoch": 3.0,
"eval_accuracy": 0.8124412564927035,
"eval_combined_score": 0.7738034871853382,
"eval_f1": 0.7351657178779729,
"eval_loss": 0.4275418519973755,
"eval_runtime": 11.7509,
"eval_samples_per_second": 3440.578,
"eval_steps_per_second": 13.446,
"step": 4266
},
{
"epoch": 4.0,
"grad_norm": 2.7595160007476807,
"learning_rate": 4.600000000000001e-05,
"loss": 0.2989,
"step": 5688
},
{
"epoch": 4.0,
"eval_accuracy": 0.8182785060598565,
"eval_combined_score": 0.7767561040876241,
"eval_f1": 0.7352337021153915,
"eval_loss": 0.4458482563495636,
"eval_runtime": 11.8253,
"eval_samples_per_second": 3418.932,
"eval_steps_per_second": 13.361,
"step": 5688
},
{
"epoch": 5.0,
"grad_norm": 2.8723201751708984,
"learning_rate": 4.5e-05,
"loss": 0.2624,
"step": 7110
},
{
"epoch": 5.0,
"eval_accuracy": 0.8240168191936681,
"eval_combined_score": 0.7922474265973389,
"eval_f1": 0.7604780340010099,
"eval_loss": 0.4298754334449768,
"eval_runtime": 11.8409,
"eval_samples_per_second": 3414.438,
"eval_steps_per_second": 13.344,
"step": 7110
},
{
"epoch": 6.0,
"grad_norm": 3.1317880153656006,
"learning_rate": 4.4000000000000006e-05,
"loss": 0.2308,
"step": 8532
},
{
"epoch": 6.0,
"eval_accuracy": 0.823695275785308,
"eval_combined_score": 0.791588493608675,
"eval_f1": 0.7594817114320421,
"eval_loss": 0.4603184163570404,
"eval_runtime": 11.8708,
"eval_samples_per_second": 3405.843,
"eval_steps_per_second": 13.31,
"step": 8532
},
{
"epoch": 7.0,
"grad_norm": 3.599036455154419,
"learning_rate": 4.3e-05,
"loss": 0.2067,
"step": 9954
},
{
"epoch": 7.0,
"eval_accuracy": 0.824956715310413,
"eval_combined_score": 0.79490850019433,
"eval_f1": 0.764860285078247,
"eval_loss": 0.46773019433021545,
"eval_runtime": 11.8891,
"eval_samples_per_second": 3400.585,
"eval_steps_per_second": 13.289,
"step": 9954
},
{
"epoch": 7.0,
"step": 9954,
"total_flos": 6.678940801217126e+16,
"train_loss": 0.32066750828223894,
"train_runtime": 1423.9001,
"train_samples_per_second": 12776.388,
"train_steps_per_second": 49.933
}
],
"logging_steps": 1,
"max_steps": 71100,
"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": 6.678940801217126e+16,
"train_batch_size": 256,
"trial_name": null,
"trial_params": null
}