wendys-llc's picture
Upload folder using huggingface_hub
a0d7659 verified
{
"best_metric": 0.893719494342804,
"best_model_checkpoint": "autotrain-jr45n-23iwd/checkpoint-21",
"epoch": 3.0,
"eval_steps": 500,
"global_step": 21,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.14285714285714285,
"grad_norm": 13.014251708984375,
"learning_rate": 1.6666666666666667e-05,
"loss": 1.574,
"step": 1
},
{
"epoch": 0.2857142857142857,
"grad_norm": 6.878973007202148,
"learning_rate": 3.3333333333333335e-05,
"loss": 1.436,
"step": 2
},
{
"epoch": 0.42857142857142855,
"grad_norm": 8.282319068908691,
"learning_rate": 5e-05,
"loss": 1.5673,
"step": 3
},
{
"epoch": 0.5714285714285714,
"grad_norm": 9.62940502166748,
"learning_rate": 4.722222222222222e-05,
"loss": 1.2444,
"step": 4
},
{
"epoch": 0.7142857142857143,
"grad_norm": 11.141054153442383,
"learning_rate": 4.4444444444444447e-05,
"loss": 1.665,
"step": 5
},
{
"epoch": 0.8571428571428571,
"grad_norm": 10.266294479370117,
"learning_rate": 4.166666666666667e-05,
"loss": 1.3428,
"step": 6
},
{
"epoch": 1.0,
"grad_norm": 18.852968215942383,
"learning_rate": 3.888888888888889e-05,
"loss": 1.4157,
"step": 7
},
{
"epoch": 1.0,
"eval_accuracy": 0.7857142857142857,
"eval_f1_macro": 0.6375,
"eval_f1_micro": 0.7857142857142857,
"eval_f1_weighted": 0.7285714285714285,
"eval_loss": 1.2462433576583862,
"eval_precision_macro": 0.6041666666666666,
"eval_precision_micro": 0.7857142857142857,
"eval_precision_weighted": 0.6904761904761905,
"eval_recall_macro": 0.6875,
"eval_recall_micro": 0.7857142857142857,
"eval_recall_weighted": 0.7857142857142857,
"eval_runtime": 2.3828,
"eval_samples_per_second": 5.875,
"eval_steps_per_second": 0.42,
"step": 7
},
{
"epoch": 1.1428571428571428,
"grad_norm": 9.181815147399902,
"learning_rate": 3.611111111111111e-05,
"loss": 1.3051,
"step": 8
},
{
"epoch": 1.2857142857142856,
"grad_norm": 7.824043273925781,
"learning_rate": 3.3333333333333335e-05,
"loss": 1.2258,
"step": 9
},
{
"epoch": 1.4285714285714286,
"grad_norm": 7.767913341522217,
"learning_rate": 3.055555555555556e-05,
"loss": 1.3915,
"step": 10
},
{
"epoch": 1.5714285714285714,
"grad_norm": 10.508928298950195,
"learning_rate": 2.777777777777778e-05,
"loss": 1.1089,
"step": 11
},
{
"epoch": 1.7142857142857144,
"grad_norm": 15.723339080810547,
"learning_rate": 2.5e-05,
"loss": 1.1304,
"step": 12
},
{
"epoch": 1.8571428571428572,
"grad_norm": 9.557744979858398,
"learning_rate": 2.2222222222222223e-05,
"loss": 1.1083,
"step": 13
},
{
"epoch": 2.0,
"grad_norm": 20.124605178833008,
"learning_rate": 1.9444444444444445e-05,
"loss": 1.2587,
"step": 14
},
{
"epoch": 2.0,
"eval_accuracy": 0.6428571428571429,
"eval_f1_macro": 0.5038461538461538,
"eval_f1_micro": 0.6428571428571429,
"eval_f1_weighted": 0.5758241758241758,
"eval_loss": 1.00484299659729,
"eval_precision_macro": 0.6111111111111112,
"eval_precision_micro": 0.6428571428571429,
"eval_precision_weighted": 0.6984126984126985,
"eval_recall_macro": 0.5625,
"eval_recall_micro": 0.6428571428571429,
"eval_recall_weighted": 0.6428571428571429,
"eval_runtime": 2.4717,
"eval_samples_per_second": 5.664,
"eval_steps_per_second": 0.405,
"step": 14
},
{
"epoch": 2.142857142857143,
"grad_norm": 12.81100845336914,
"learning_rate": 1.6666666666666667e-05,
"loss": 1.2278,
"step": 15
},
{
"epoch": 2.2857142857142856,
"grad_norm": 9.036030769348145,
"learning_rate": 1.388888888888889e-05,
"loss": 0.9014,
"step": 16
},
{
"epoch": 2.4285714285714284,
"grad_norm": 11.079411506652832,
"learning_rate": 1.1111111111111112e-05,
"loss": 0.8781,
"step": 17
},
{
"epoch": 2.571428571428571,
"grad_norm": 8.225976943969727,
"learning_rate": 8.333333333333334e-06,
"loss": 0.8964,
"step": 18
},
{
"epoch": 2.7142857142857144,
"grad_norm": 11.431103706359863,
"learning_rate": 5.555555555555556e-06,
"loss": 0.9341,
"step": 19
},
{
"epoch": 2.857142857142857,
"grad_norm": 6.8565449714660645,
"learning_rate": 2.777777777777778e-06,
"loss": 0.9554,
"step": 20
},
{
"epoch": 3.0,
"grad_norm": 10.979363441467285,
"learning_rate": 0.0,
"loss": 1.0157,
"step": 21
},
{
"epoch": 3.0,
"eval_accuracy": 0.7857142857142857,
"eval_f1_macro": 0.6365079365079365,
"eval_f1_micro": 0.7857142857142857,
"eval_f1_weighted": 0.727437641723356,
"eval_loss": 0.893719494342804,
"eval_precision_macro": 0.6166666666666667,
"eval_precision_micro": 0.7857142857142857,
"eval_precision_weighted": 0.7047619047619048,
"eval_recall_macro": 0.6875,
"eval_recall_micro": 0.7857142857142857,
"eval_recall_weighted": 0.7857142857142857,
"eval_runtime": 2.4283,
"eval_samples_per_second": 5.765,
"eval_steps_per_second": 0.412,
"step": 21
}
],
"logging_steps": 1,
"max_steps": 21,
"num_input_tokens_seen": 0,
"num_train_epochs": 3,
"save_steps": 500,
"stateful_callbacks": {
"EarlyStoppingCallback": {
"args": {
"early_stopping_patience": 5,
"early_stopping_threshold": 0.01
},
"attributes": {
"early_stopping_patience_counter": 0
}
},
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 11050862764032.0,
"train_batch_size": 8,
"trial_name": null,
"trial_params": null
}