|
{ |
|
"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 |
|
} |
|
|