dima806's picture
Upload folder using huggingface_hub
5bf6d65
raw
history blame contribute delete
No virus
6.06 kB
{
"best_metric": 0.5382775664329529,
"best_model_checkpoint": "weather_types_image_detection/checkpoint-3000",
"epoch": 20.0,
"eval_steps": 500,
"global_step": 3000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"eval_accuracy": 0.5056426332288402,
"eval_loss": 2.195056915283203,
"eval_runtime": 39.7075,
"eval_samples_per_second": 80.337,
"eval_steps_per_second": 2.518,
"step": 150
},
{
"epoch": 2.0,
"eval_accuracy": 0.7865203761755486,
"eval_loss": 1.8913682699203491,
"eval_runtime": 39.3657,
"eval_samples_per_second": 81.035,
"eval_steps_per_second": 2.54,
"step": 300
},
{
"epoch": 3.0,
"eval_accuracy": 0.8677115987460815,
"eval_loss": 1.5939664840698242,
"eval_runtime": 39.9431,
"eval_samples_per_second": 79.864,
"eval_steps_per_second": 2.504,
"step": 450
},
{
"epoch": 3.33,
"learning_rate": 2.5423728813559323e-06,
"loss": 1.9398,
"step": 500
},
{
"epoch": 4.0,
"eval_accuracy": 0.9012539184952978,
"eval_loss": 1.3277515172958374,
"eval_runtime": 39.2865,
"eval_samples_per_second": 81.198,
"eval_steps_per_second": 2.545,
"step": 600
},
{
"epoch": 5.0,
"eval_accuracy": 0.9078369905956113,
"eval_loss": 1.1275917291641235,
"eval_runtime": 40.4781,
"eval_samples_per_second": 78.808,
"eval_steps_per_second": 2.47,
"step": 750
},
{
"epoch": 6.0,
"eval_accuracy": 0.9109717868338558,
"eval_loss": 0.9836059808731079,
"eval_runtime": 39.3293,
"eval_samples_per_second": 81.11,
"eval_steps_per_second": 2.543,
"step": 900
},
{
"epoch": 6.67,
"learning_rate": 2.033898305084746e-06,
"loss": 1.0736,
"step": 1000
},
{
"epoch": 7.0,
"eval_accuracy": 0.9175548589341693,
"eval_loss": 0.8796769976615906,
"eval_runtime": 38.8684,
"eval_samples_per_second": 82.072,
"eval_steps_per_second": 2.573,
"step": 1050
},
{
"epoch": 8.0,
"eval_accuracy": 0.9260188087774295,
"eval_loss": 0.8013343811035156,
"eval_runtime": 39.8903,
"eval_samples_per_second": 79.969,
"eval_steps_per_second": 2.507,
"step": 1200
},
{
"epoch": 9.0,
"eval_accuracy": 0.9297805642633229,
"eval_loss": 0.741754949092865,
"eval_runtime": 39.2379,
"eval_samples_per_second": 81.299,
"eval_steps_per_second": 2.549,
"step": 1350
},
{
"epoch": 10.0,
"learning_rate": 1.5254237288135592e-06,
"loss": 0.7176,
"step": 1500
},
{
"epoch": 10.0,
"eval_accuracy": 0.9357366771159875,
"eval_loss": 0.6951330304145813,
"eval_runtime": 39.6464,
"eval_samples_per_second": 80.461,
"eval_steps_per_second": 2.522,
"step": 1500
},
{
"epoch": 11.0,
"eval_accuracy": 0.936050156739812,
"eval_loss": 0.6588802933692932,
"eval_runtime": 39.3043,
"eval_samples_per_second": 81.162,
"eval_steps_per_second": 2.544,
"step": 1650
},
{
"epoch": 12.0,
"eval_accuracy": 0.9391849529780564,
"eval_loss": 0.6289839148521423,
"eval_runtime": 40.6101,
"eval_samples_per_second": 78.552,
"eval_steps_per_second": 2.462,
"step": 1800
},
{
"epoch": 13.0,
"eval_accuracy": 0.9435736677115988,
"eval_loss": 0.6051485538482666,
"eval_runtime": 39.428,
"eval_samples_per_second": 80.907,
"eval_steps_per_second": 2.536,
"step": 1950
},
{
"epoch": 13.33,
"learning_rate": 1.016949152542373e-06,
"loss": 0.573,
"step": 2000
},
{
"epoch": 14.0,
"eval_accuracy": 0.9442006269592477,
"eval_loss": 0.5864712595939636,
"eval_runtime": 38.9051,
"eval_samples_per_second": 81.994,
"eval_steps_per_second": 2.57,
"step": 2100
},
{
"epoch": 15.0,
"eval_accuracy": 0.945141065830721,
"eval_loss": 0.5714645385742188,
"eval_runtime": 38.9352,
"eval_samples_per_second": 81.931,
"eval_steps_per_second": 2.568,
"step": 2250
},
{
"epoch": 16.0,
"eval_accuracy": 0.9460815047021943,
"eval_loss": 0.5598732233047485,
"eval_runtime": 39.7255,
"eval_samples_per_second": 80.301,
"eval_steps_per_second": 2.517,
"step": 2400
},
{
"epoch": 16.67,
"learning_rate": 5.084745762711865e-07,
"loss": 0.5049,
"step": 2500
},
{
"epoch": 17.0,
"eval_accuracy": 0.9476489028213166,
"eval_loss": 0.5497184991836548,
"eval_runtime": 38.9155,
"eval_samples_per_second": 81.972,
"eval_steps_per_second": 2.57,
"step": 2550
},
{
"epoch": 18.0,
"eval_accuracy": 0.9479623824451411,
"eval_loss": 0.5431983470916748,
"eval_runtime": 39.2777,
"eval_samples_per_second": 81.217,
"eval_steps_per_second": 2.546,
"step": 2700
},
{
"epoch": 19.0,
"eval_accuracy": 0.9482758620689655,
"eval_loss": 0.5394731163978577,
"eval_runtime": 39.0547,
"eval_samples_per_second": 81.68,
"eval_steps_per_second": 2.561,
"step": 2850
},
{
"epoch": 20.0,
"learning_rate": 0.0,
"loss": 0.4752,
"step": 3000
},
{
"epoch": 20.0,
"eval_accuracy": 0.9476489028213166,
"eval_loss": 0.5382775664329529,
"eval_runtime": 39.1619,
"eval_samples_per_second": 81.457,
"eval_steps_per_second": 2.554,
"step": 3000
}
],
"logging_steps": 500,
"max_steps": 3000,
"num_train_epochs": 20,
"save_steps": 500,
"total_flos": 1.4833163220277248e+19,
"trial_name": null,
"trial_params": null
}