kamran7006's picture
Upload . with huggingface_hub
b863e4d verified
{
"best_metric": 0.233134925365448,
"best_model_checkpoint": "brain_tumor_detection/checkpoint-150",
"epoch": 25.0,
"global_step": 150,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"eval_accuracy": 0.4342105263157895,
"eval_loss": 0.6988278031349182,
"eval_runtime": 0.9935,
"eval_samples_per_second": 76.501,
"eval_steps_per_second": 19.125,
"step": 6
},
{
"epoch": 2.0,
"eval_accuracy": 0.5526315789473685,
"eval_loss": 0.6916604042053223,
"eval_runtime": 0.956,
"eval_samples_per_second": 79.501,
"eval_steps_per_second": 19.875,
"step": 12
},
{
"epoch": 3.0,
"eval_accuracy": 0.6578947368421053,
"eval_loss": 0.6795731782913208,
"eval_runtime": 0.9513,
"eval_samples_per_second": 79.888,
"eval_steps_per_second": 19.972,
"step": 18
},
{
"epoch": 4.0,
"eval_accuracy": 0.6447368421052632,
"eval_loss": 0.6657436490058899,
"eval_runtime": 0.9493,
"eval_samples_per_second": 80.062,
"eval_steps_per_second": 20.016,
"step": 24
},
{
"epoch": 5.0,
"eval_accuracy": 0.6842105263157895,
"eval_loss": 0.6453096270561218,
"eval_runtime": 0.9483,
"eval_samples_per_second": 80.144,
"eval_steps_per_second": 20.036,
"step": 30
},
{
"epoch": 6.0,
"eval_accuracy": 0.6710526315789473,
"eval_loss": 0.617803692817688,
"eval_runtime": 0.9738,
"eval_samples_per_second": 78.043,
"eval_steps_per_second": 19.511,
"step": 36
},
{
"epoch": 7.0,
"eval_accuracy": 0.7105263157894737,
"eval_loss": 0.5901638865470886,
"eval_runtime": 0.9528,
"eval_samples_per_second": 79.766,
"eval_steps_per_second": 19.941,
"step": 42
},
{
"epoch": 8.0,
"eval_accuracy": 0.7763157894736842,
"eval_loss": 0.5550716519355774,
"eval_runtime": 0.9514,
"eval_samples_per_second": 79.886,
"eval_steps_per_second": 19.972,
"step": 48
},
{
"epoch": 9.0,
"eval_accuracy": 0.8552631578947368,
"eval_loss": 0.5136155486106873,
"eval_runtime": 0.9467,
"eval_samples_per_second": 80.28,
"eval_steps_per_second": 20.07,
"step": 54
},
{
"epoch": 10.0,
"eval_accuracy": 0.8947368421052632,
"eval_loss": 0.47127261757850647,
"eval_runtime": 0.978,
"eval_samples_per_second": 77.706,
"eval_steps_per_second": 19.427,
"step": 60
},
{
"epoch": 11.0,
"eval_accuracy": 0.8947368421052632,
"eval_loss": 0.4335399866104126,
"eval_runtime": 0.9791,
"eval_samples_per_second": 77.618,
"eval_steps_per_second": 19.405,
"step": 66
},
{
"epoch": 12.0,
"eval_accuracy": 0.9078947368421053,
"eval_loss": 0.4003973603248596,
"eval_runtime": 0.9657,
"eval_samples_per_second": 78.702,
"eval_steps_per_second": 19.675,
"step": 72
},
{
"epoch": 13.0,
"eval_accuracy": 0.9210526315789473,
"eval_loss": 0.3692227303981781,
"eval_runtime": 0.9471,
"eval_samples_per_second": 80.243,
"eval_steps_per_second": 20.061,
"step": 78
},
{
"epoch": 14.0,
"eval_accuracy": 0.9078947368421053,
"eval_loss": 0.34214863181114197,
"eval_runtime": 0.9618,
"eval_samples_per_second": 79.018,
"eval_steps_per_second": 19.754,
"step": 84
},
{
"epoch": 15.0,
"eval_accuracy": 0.9210526315789473,
"eval_loss": 0.3197132349014282,
"eval_runtime": 1.0155,
"eval_samples_per_second": 74.839,
"eval_steps_per_second": 18.71,
"step": 90
},
{
"epoch": 16.0,
"eval_accuracy": 0.9210526315789473,
"eval_loss": 0.2996158003807068,
"eval_runtime": 0.9757,
"eval_samples_per_second": 77.891,
"eval_steps_per_second": 19.473,
"step": 96
},
{
"epoch": 17.0,
"eval_accuracy": 0.8947368421052632,
"eval_loss": 0.28496354818344116,
"eval_runtime": 0.9735,
"eval_samples_per_second": 78.068,
"eval_steps_per_second": 19.517,
"step": 102
},
{
"epoch": 18.0,
"eval_accuracy": 0.9210526315789473,
"eval_loss": 0.2703515589237213,
"eval_runtime": 1.0086,
"eval_samples_per_second": 75.349,
"eval_steps_per_second": 18.837,
"step": 108
},
{
"epoch": 19.0,
"eval_accuracy": 0.9210526315789473,
"eval_loss": 0.25838443636894226,
"eval_runtime": 0.9799,
"eval_samples_per_second": 77.562,
"eval_steps_per_second": 19.391,
"step": 114
},
{
"epoch": 20.0,
"eval_accuracy": 0.9210526315789473,
"eval_loss": 0.24787285923957825,
"eval_runtime": 0.9801,
"eval_samples_per_second": 77.542,
"eval_steps_per_second": 19.385,
"step": 120
},
{
"epoch": 21.0,
"eval_accuracy": 0.9342105263157895,
"eval_loss": 0.24149483442306519,
"eval_runtime": 0.9873,
"eval_samples_per_second": 76.976,
"eval_steps_per_second": 19.244,
"step": 126
},
{
"epoch": 22.0,
"eval_accuracy": 0.9342105263157895,
"eval_loss": 0.23940841853618622,
"eval_runtime": 0.9607,
"eval_samples_per_second": 79.112,
"eval_steps_per_second": 19.778,
"step": 132
},
{
"epoch": 23.0,
"eval_accuracy": 0.8947368421052632,
"eval_loss": 0.2379884272813797,
"eval_runtime": 0.9958,
"eval_samples_per_second": 76.321,
"eval_steps_per_second": 19.08,
"step": 138
},
{
"epoch": 24.0,
"eval_accuracy": 0.9078947368421053,
"eval_loss": 0.2344084084033966,
"eval_runtime": 0.956,
"eval_samples_per_second": 79.494,
"eval_steps_per_second": 19.873,
"step": 144
},
{
"epoch": 25.0,
"eval_accuracy": 0.9342105263157895,
"eval_loss": 0.233134925365448,
"eval_runtime": 0.9514,
"eval_samples_per_second": 79.879,
"eval_steps_per_second": 19.97,
"step": 150
}
],
"max_steps": 150,
"num_train_epochs": 25,
"total_flos": 3.429020540445696e+17,
"trial_name": null,
"trial_params": null
}