dima806's picture
Upload folder using huggingface_hub
4455cfa
raw
history blame contribute delete
No virus
4.79 kB
{
"best_metric": 0.9030352830886841,
"best_model_checkpoint": "pets_facial_expression_detection/checkpoint-486",
"epoch": 18.0,
"global_step": 486,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"eval_accuracy": 0.2930232558139535,
"eval_loss": 1.374199390411377,
"eval_runtime": 2.2093,
"eval_samples_per_second": 97.314,
"eval_steps_per_second": 24.442,
"step": 27
},
{
"epoch": 2.0,
"eval_accuracy": 0.49767441860465117,
"eval_loss": 1.3378509283065796,
"eval_runtime": 2.1731,
"eval_samples_per_second": 98.936,
"eval_steps_per_second": 24.849,
"step": 54
},
{
"epoch": 3.0,
"eval_accuracy": 0.5720930232558139,
"eval_loss": 1.2871954441070557,
"eval_runtime": 2.0937,
"eval_samples_per_second": 102.688,
"eval_steps_per_second": 25.792,
"step": 81
},
{
"epoch": 4.0,
"eval_accuracy": 0.5906976744186047,
"eval_loss": 1.2281134128570557,
"eval_runtime": 2.1256,
"eval_samples_per_second": 101.15,
"eval_steps_per_second": 25.405,
"step": 108
},
{
"epoch": 5.0,
"eval_accuracy": 0.6139534883720931,
"eval_loss": 1.17768132686615,
"eval_runtime": 2.2854,
"eval_samples_per_second": 94.075,
"eval_steps_per_second": 23.628,
"step": 135
},
{
"epoch": 6.0,
"eval_accuracy": 0.6139534883720931,
"eval_loss": 1.1302417516708374,
"eval_runtime": 2.138,
"eval_samples_per_second": 100.563,
"eval_steps_per_second": 25.258,
"step": 162
},
{
"epoch": 7.0,
"eval_accuracy": 0.627906976744186,
"eval_loss": 1.0885740518569946,
"eval_runtime": 2.1739,
"eval_samples_per_second": 98.9,
"eval_steps_per_second": 24.84,
"step": 189
},
{
"epoch": 8.0,
"eval_accuracy": 0.6511627906976745,
"eval_loss": 1.0519264936447144,
"eval_runtime": 2.1019,
"eval_samples_per_second": 102.288,
"eval_steps_per_second": 25.691,
"step": 216
},
{
"epoch": 9.0,
"eval_accuracy": 0.6511627906976745,
"eval_loss": 1.0238808393478394,
"eval_runtime": 2.0871,
"eval_samples_per_second": 103.011,
"eval_steps_per_second": 25.873,
"step": 243
},
{
"epoch": 10.0,
"eval_accuracy": 0.6790697674418604,
"eval_loss": 0.9928017258644104,
"eval_runtime": 2.1456,
"eval_samples_per_second": 100.205,
"eval_steps_per_second": 25.168,
"step": 270
},
{
"epoch": 11.0,
"eval_accuracy": 0.6744186046511628,
"eval_loss": 0.9708560109138489,
"eval_runtime": 2.1154,
"eval_samples_per_second": 101.636,
"eval_steps_per_second": 25.527,
"step": 297
},
{
"epoch": 12.0,
"eval_accuracy": 0.6604651162790698,
"eval_loss": 0.9592256546020508,
"eval_runtime": 2.1375,
"eval_samples_per_second": 100.585,
"eval_steps_per_second": 25.263,
"step": 324
},
{
"epoch": 13.0,
"eval_accuracy": 0.6604651162790698,
"eval_loss": 0.9412258267402649,
"eval_runtime": 2.2038,
"eval_samples_per_second": 97.558,
"eval_steps_per_second": 24.503,
"step": 351
},
{
"epoch": 14.0,
"eval_accuracy": 0.641860465116279,
"eval_loss": 0.9348711371421814,
"eval_runtime": 2.1095,
"eval_samples_per_second": 101.921,
"eval_steps_per_second": 25.599,
"step": 378
},
{
"epoch": 15.0,
"eval_accuracy": 0.6604651162790698,
"eval_loss": 0.9211540222167969,
"eval_runtime": 2.1863,
"eval_samples_per_second": 98.338,
"eval_steps_per_second": 24.699,
"step": 405
},
{
"epoch": 16.0,
"eval_accuracy": 0.6511627906976745,
"eval_loss": 0.9165873527526855,
"eval_runtime": 2.1211,
"eval_samples_per_second": 101.362,
"eval_steps_per_second": 25.458,
"step": 432
},
{
"epoch": 17.0,
"eval_accuracy": 0.6558139534883721,
"eval_loss": 0.9073556065559387,
"eval_runtime": 2.1312,
"eval_samples_per_second": 100.881,
"eval_steps_per_second": 25.338,
"step": 459
},
{
"epoch": 18.0,
"eval_accuracy": 0.6651162790697674,
"eval_loss": 0.9030352830886841,
"eval_runtime": 2.0795,
"eval_samples_per_second": 103.391,
"eval_steps_per_second": 25.968,
"step": 486
}
],
"max_steps": 540,
"num_train_epochs": 20,
"total_flos": 1.198202621258023e+18,
"trial_name": null,
"trial_params": null
}