dima806's picture
Upload folder using huggingface_hub
198ae7c
raw
history blame contribute delete
No virus
10.3 kB
{
"best_metric": 1.2516621351242065,
"best_model_checkpoint": "farm_insects_image_detection/checkpoint-920",
"epoch": 40.0,
"eval_steps": 500,
"global_step": 920,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"eval_accuracy": 0.07282913165266107,
"eval_loss": 2.7274632453918457,
"eval_runtime": 8.4245,
"eval_samples_per_second": 42.377,
"eval_steps_per_second": 1.424,
"step": 23
},
{
"epoch": 2.0,
"eval_accuracy": 0.14285714285714285,
"eval_loss": 2.6792140007019043,
"eval_runtime": 8.3721,
"eval_samples_per_second": 42.642,
"eval_steps_per_second": 1.433,
"step": 46
},
{
"epoch": 3.0,
"eval_accuracy": 0.30532212885154064,
"eval_loss": 2.608018159866333,
"eval_runtime": 8.3889,
"eval_samples_per_second": 42.556,
"eval_steps_per_second": 1.43,
"step": 69
},
{
"epoch": 4.0,
"eval_accuracy": 0.4957983193277311,
"eval_loss": 2.5284454822540283,
"eval_runtime": 8.3791,
"eval_samples_per_second": 42.606,
"eval_steps_per_second": 1.432,
"step": 92
},
{
"epoch": 5.0,
"eval_accuracy": 0.5882352941176471,
"eval_loss": 2.442399501800537,
"eval_runtime": 8.3343,
"eval_samples_per_second": 42.835,
"eval_steps_per_second": 1.44,
"step": 115
},
{
"epoch": 6.0,
"eval_accuracy": 0.6666666666666666,
"eval_loss": 2.355358600616455,
"eval_runtime": 8.2873,
"eval_samples_per_second": 43.078,
"eval_steps_per_second": 1.448,
"step": 138
},
{
"epoch": 7.0,
"eval_accuracy": 0.7002801120448179,
"eval_loss": 2.269487142562866,
"eval_runtime": 8.3645,
"eval_samples_per_second": 42.681,
"eval_steps_per_second": 1.435,
"step": 161
},
{
"epoch": 8.0,
"eval_accuracy": 0.742296918767507,
"eval_loss": 2.1871509552001953,
"eval_runtime": 8.8451,
"eval_samples_per_second": 40.362,
"eval_steps_per_second": 1.357,
"step": 184
},
{
"epoch": 9.0,
"eval_accuracy": 0.7591036414565826,
"eval_loss": 2.1074976921081543,
"eval_runtime": 8.7566,
"eval_samples_per_second": 40.769,
"eval_steps_per_second": 1.37,
"step": 207
},
{
"epoch": 10.0,
"eval_accuracy": 0.7563025210084033,
"eval_loss": 2.0352859497070312,
"eval_runtime": 9.0115,
"eval_samples_per_second": 39.616,
"eval_steps_per_second": 1.332,
"step": 230
},
{
"epoch": 11.0,
"eval_accuracy": 0.7647058823529411,
"eval_loss": 1.9617092609405518,
"eval_runtime": 8.2704,
"eval_samples_per_second": 43.166,
"eval_steps_per_second": 1.451,
"step": 253
},
{
"epoch": 12.0,
"eval_accuracy": 0.7703081232492998,
"eval_loss": 1.8966331481933594,
"eval_runtime": 8.19,
"eval_samples_per_second": 43.59,
"eval_steps_per_second": 1.465,
"step": 276
},
{
"epoch": 13.0,
"eval_accuracy": 0.7899159663865546,
"eval_loss": 1.8334406614303589,
"eval_runtime": 8.2805,
"eval_samples_per_second": 43.113,
"eval_steps_per_second": 1.449,
"step": 299
},
{
"epoch": 14.0,
"eval_accuracy": 0.7955182072829131,
"eval_loss": 1.7798340320587158,
"eval_runtime": 8.314,
"eval_samples_per_second": 42.94,
"eval_steps_per_second": 1.443,
"step": 322
},
{
"epoch": 15.0,
"eval_accuracy": 0.803921568627451,
"eval_loss": 1.725283145904541,
"eval_runtime": 8.2253,
"eval_samples_per_second": 43.403,
"eval_steps_per_second": 1.459,
"step": 345
},
{
"epoch": 16.0,
"eval_accuracy": 0.8011204481792717,
"eval_loss": 1.676822304725647,
"eval_runtime": 8.2517,
"eval_samples_per_second": 43.264,
"eval_steps_per_second": 1.454,
"step": 368
},
{
"epoch": 17.0,
"eval_accuracy": 0.803921568627451,
"eval_loss": 1.6338704824447632,
"eval_runtime": 8.7764,
"eval_samples_per_second": 40.677,
"eval_steps_per_second": 1.367,
"step": 391
},
{
"epoch": 18.0,
"eval_accuracy": 0.8095238095238095,
"eval_loss": 1.591052770614624,
"eval_runtime": 8.4809,
"eval_samples_per_second": 42.094,
"eval_steps_per_second": 1.415,
"step": 414
},
{
"epoch": 19.0,
"eval_accuracy": 0.8151260504201681,
"eval_loss": 1.5546818971633911,
"eval_runtime": 8.7254,
"eval_samples_per_second": 40.915,
"eval_steps_per_second": 1.375,
"step": 437
},
{
"epoch": 20.0,
"eval_accuracy": 0.8179271708683473,
"eval_loss": 1.5200783014297485,
"eval_runtime": 8.7915,
"eval_samples_per_second": 40.608,
"eval_steps_per_second": 1.365,
"step": 460
},
{
"epoch": 21.0,
"eval_accuracy": 0.8207282913165266,
"eval_loss": 1.4900047779083252,
"eval_runtime": 8.7756,
"eval_samples_per_second": 40.681,
"eval_steps_per_second": 1.367,
"step": 483
},
{
"epoch": 21.74,
"learning_rate": 4.8275862068965525e-06,
"loss": 1.8934,
"step": 500
},
{
"epoch": 22.0,
"eval_accuracy": 0.8263305322128851,
"eval_loss": 1.4619663953781128,
"eval_runtime": 8.2738,
"eval_samples_per_second": 43.148,
"eval_steps_per_second": 1.45,
"step": 506
},
{
"epoch": 23.0,
"eval_accuracy": 0.8207282913165266,
"eval_loss": 1.438490629196167,
"eval_runtime": 8.336,
"eval_samples_per_second": 42.826,
"eval_steps_per_second": 1.44,
"step": 529
},
{
"epoch": 24.0,
"eval_accuracy": 0.8235294117647058,
"eval_loss": 1.4130185842514038,
"eval_runtime": 8.2599,
"eval_samples_per_second": 43.221,
"eval_steps_per_second": 1.453,
"step": 552
},
{
"epoch": 25.0,
"eval_accuracy": 0.8207282913165266,
"eval_loss": 1.3925851583480835,
"eval_runtime": 8.3477,
"eval_samples_per_second": 42.766,
"eval_steps_per_second": 1.438,
"step": 575
},
{
"epoch": 26.0,
"eval_accuracy": 0.8263305322128851,
"eval_loss": 1.372473955154419,
"eval_runtime": 8.394,
"eval_samples_per_second": 42.53,
"eval_steps_per_second": 1.43,
"step": 598
},
{
"epoch": 27.0,
"eval_accuracy": 0.8319327731092437,
"eval_loss": 1.354565143585205,
"eval_runtime": 8.214,
"eval_samples_per_second": 43.463,
"eval_steps_per_second": 1.461,
"step": 621
},
{
"epoch": 28.0,
"eval_accuracy": 0.8291316526610645,
"eval_loss": 1.3383395671844482,
"eval_runtime": 8.2693,
"eval_samples_per_second": 43.172,
"eval_steps_per_second": 1.451,
"step": 644
},
{
"epoch": 29.0,
"eval_accuracy": 0.8291316526610645,
"eval_loss": 1.3238927125930786,
"eval_runtime": 8.2351,
"eval_samples_per_second": 43.351,
"eval_steps_per_second": 1.457,
"step": 667
},
{
"epoch": 30.0,
"eval_accuracy": 0.8291316526610645,
"eval_loss": 1.3101811408996582,
"eval_runtime": 8.8733,
"eval_samples_per_second": 40.233,
"eval_steps_per_second": 1.352,
"step": 690
},
{
"epoch": 31.0,
"eval_accuracy": 0.8263305322128851,
"eval_loss": 1.2995638847351074,
"eval_runtime": 8.778,
"eval_samples_per_second": 40.67,
"eval_steps_per_second": 1.367,
"step": 713
},
{
"epoch": 32.0,
"eval_accuracy": 0.8291316526610645,
"eval_loss": 1.289703607559204,
"eval_runtime": 8.8636,
"eval_samples_per_second": 40.277,
"eval_steps_per_second": 1.354,
"step": 736
},
{
"epoch": 33.0,
"eval_accuracy": 0.8263305322128851,
"eval_loss": 1.2803524732589722,
"eval_runtime": 8.3431,
"eval_samples_per_second": 42.79,
"eval_steps_per_second": 1.438,
"step": 759
},
{
"epoch": 34.0,
"eval_accuracy": 0.8235294117647058,
"eval_loss": 1.2720471620559692,
"eval_runtime": 8.2319,
"eval_samples_per_second": 43.368,
"eval_steps_per_second": 1.458,
"step": 782
},
{
"epoch": 35.0,
"eval_accuracy": 0.8263305322128851,
"eval_loss": 1.2659658193588257,
"eval_runtime": 8.2486,
"eval_samples_per_second": 43.28,
"eval_steps_per_second": 1.455,
"step": 805
},
{
"epoch": 36.0,
"eval_accuracy": 0.8263305322128851,
"eval_loss": 1.2606456279754639,
"eval_runtime": 8.3376,
"eval_samples_per_second": 42.818,
"eval_steps_per_second": 1.439,
"step": 828
},
{
"epoch": 37.0,
"eval_accuracy": 0.8263305322128851,
"eval_loss": 1.2569059133529663,
"eval_runtime": 8.4878,
"eval_samples_per_second": 42.061,
"eval_steps_per_second": 1.414,
"step": 851
},
{
"epoch": 38.0,
"eval_accuracy": 0.8291316526610645,
"eval_loss": 1.254132628440857,
"eval_runtime": 9.746,
"eval_samples_per_second": 36.63,
"eval_steps_per_second": 1.231,
"step": 874
},
{
"epoch": 39.0,
"eval_accuracy": 0.8291316526610645,
"eval_loss": 1.2522512674331665,
"eval_runtime": 8.8283,
"eval_samples_per_second": 40.438,
"eval_steps_per_second": 1.359,
"step": 897
},
{
"epoch": 40.0,
"eval_accuracy": 0.8291316526610645,
"eval_loss": 1.2516621351242065,
"eval_runtime": 8.7983,
"eval_samples_per_second": 40.576,
"eval_steps_per_second": 1.364,
"step": 920
}
],
"logging_steps": 500,
"max_steps": 920,
"num_train_epochs": 40,
"save_steps": 500,
"total_flos": 4.4268581815802266e+18,
"trial_name": null,
"trial_params": null
}