bert_base_rand_100_v1_cola / trainer_state.json
Hartunka's picture
End of training
f423845 verified
{
"best_global_step": 34,
"best_metric": 0.6176116466522217,
"best_model_checkpoint": "bert_base_rand_100_v1_cola/checkpoint-34",
"epoch": 6.0,
"eval_steps": 500,
"global_step": 204,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"grad_norm": 1.2854377031326294,
"learning_rate": 4.9e-05,
"loss": 0.6133,
"step": 34
},
{
"epoch": 1.0,
"eval_accuracy": 0.6912751793861389,
"eval_loss": 0.6176116466522217,
"eval_matthews_correlation": 0.0,
"eval_runtime": 0.6775,
"eval_samples_per_second": 1539.593,
"eval_steps_per_second": 7.381,
"step": 34
},
{
"epoch": 2.0,
"grad_norm": 1.719799518585205,
"learning_rate": 4.8e-05,
"loss": 0.5913,
"step": 68
},
{
"epoch": 2.0,
"eval_accuracy": 0.6883988380432129,
"eval_loss": 0.6251381039619446,
"eval_matthews_correlation": -0.03589254563226399,
"eval_runtime": 0.6763,
"eval_samples_per_second": 1542.319,
"eval_steps_per_second": 7.394,
"step": 68
},
{
"epoch": 3.0,
"grad_norm": 1.8317792415618896,
"learning_rate": 4.7e-05,
"loss": 0.5374,
"step": 102
},
{
"epoch": 3.0,
"eval_accuracy": 0.6481304168701172,
"eval_loss": 0.6604347825050354,
"eval_matthews_correlation": 0.10041605806534921,
"eval_runtime": 0.684,
"eval_samples_per_second": 1524.797,
"eval_steps_per_second": 7.31,
"step": 102
},
{
"epoch": 4.0,
"grad_norm": 4.593310356140137,
"learning_rate": 4.600000000000001e-05,
"loss": 0.486,
"step": 136
},
{
"epoch": 4.0,
"eval_accuracy": 0.6567593216896057,
"eval_loss": 0.7520363330841064,
"eval_matthews_correlation": 0.08852460407026867,
"eval_runtime": 0.7103,
"eval_samples_per_second": 1468.365,
"eval_steps_per_second": 7.039,
"step": 136
},
{
"epoch": 5.0,
"grad_norm": 2.2590205669403076,
"learning_rate": 4.5e-05,
"loss": 0.4227,
"step": 170
},
{
"epoch": 5.0,
"eval_accuracy": 0.6490891575813293,
"eval_loss": 0.7340983748435974,
"eval_matthews_correlation": 0.13750626640004746,
"eval_runtime": 0.684,
"eval_samples_per_second": 1524.759,
"eval_steps_per_second": 7.309,
"step": 170
},
{
"epoch": 6.0,
"grad_norm": 2.552171468734741,
"learning_rate": 4.4000000000000006e-05,
"loss": 0.3742,
"step": 204
},
{
"epoch": 6.0,
"eval_accuracy": 0.6567593216896057,
"eval_loss": 0.7870461940765381,
"eval_matthews_correlation": 0.11941328770402174,
"eval_runtime": 0.6662,
"eval_samples_per_second": 1565.555,
"eval_steps_per_second": 7.505,
"step": 204
},
{
"epoch": 6.0,
"step": 204,
"total_flos": 6749587903150080.0,
"train_loss": 0.5041563651140999,
"train_runtime": 102.8186,
"train_samples_per_second": 4158.296,
"train_steps_per_second": 16.534
}
],
"logging_steps": 1,
"max_steps": 1700,
"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": 6749587903150080.0,
"train_batch_size": 256,
"trial_name": null,
"trial_params": null
}