dima806's picture
Upload folder using huggingface_hub
dec1b15 verified
raw
history blame
3.12 kB
{
"best_metric": 0.3020975887775421,
"best_model_checkpoint": "food_beverages_japan_image_detection/checkpoint-600",
"epoch": 10.0,
"eval_steps": 500,
"global_step": 600,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"eval_accuracy": 0.8921775898520085,
"eval_loss": 0.3085739016532898,
"eval_runtime": 8.7055,
"eval_samples_per_second": 54.333,
"eval_steps_per_second": 6.892,
"step": 60
},
{
"epoch": 2.0,
"eval_accuracy": 0.8900634249471459,
"eval_loss": 0.3083186745643616,
"eval_runtime": 8.628,
"eval_samples_per_second": 54.822,
"eval_steps_per_second": 6.954,
"step": 120
},
{
"epoch": 3.0,
"eval_accuracy": 0.8900634249471459,
"eval_loss": 0.3071586787700653,
"eval_runtime": 8.7844,
"eval_samples_per_second": 53.846,
"eval_steps_per_second": 6.83,
"step": 180
},
{
"epoch": 4.0,
"eval_accuracy": 0.8921775898520085,
"eval_loss": 0.30538779497146606,
"eval_runtime": 8.805,
"eval_samples_per_second": 53.719,
"eval_steps_per_second": 6.814,
"step": 240
},
{
"epoch": 5.0,
"eval_accuracy": 0.8942917547568711,
"eval_loss": 0.30612456798553467,
"eval_runtime": 8.6067,
"eval_samples_per_second": 54.957,
"eval_steps_per_second": 6.971,
"step": 300
},
{
"epoch": 6.0,
"eval_accuracy": 0.8900634249471459,
"eval_loss": 0.30368173122406006,
"eval_runtime": 8.435,
"eval_samples_per_second": 56.076,
"eval_steps_per_second": 7.113,
"step": 360
},
{
"epoch": 7.0,
"eval_accuracy": 0.8900634249471459,
"eval_loss": 0.30304276943206787,
"eval_runtime": 8.513,
"eval_samples_per_second": 55.562,
"eval_steps_per_second": 7.048,
"step": 420
},
{
"epoch": 8.0,
"eval_accuracy": 0.8921775898520085,
"eval_loss": 0.3024144768714905,
"eval_runtime": 8.6904,
"eval_samples_per_second": 54.428,
"eval_steps_per_second": 6.904,
"step": 480
},
{
"epoch": 8.33,
"grad_norm": 4.706602096557617,
"learning_rate": 1.818181818181818e-07,
"loss": 0.1807,
"step": 500
},
{
"epoch": 9.0,
"eval_accuracy": 0.8942917547568711,
"eval_loss": 0.30235838890075684,
"eval_runtime": 8.6893,
"eval_samples_per_second": 54.435,
"eval_steps_per_second": 6.905,
"step": 540
},
{
"epoch": 10.0,
"eval_accuracy": 0.8942917547568711,
"eval_loss": 0.3020975887775421,
"eval_runtime": 8.6487,
"eval_samples_per_second": 54.691,
"eval_steps_per_second": 6.937,
"step": 600
}
],
"logging_steps": 500,
"max_steps": 600,
"num_input_tokens_seen": 0,
"num_train_epochs": 10,
"save_steps": 500,
"total_flos": 1.4653735236119347e+18,
"train_batch_size": 32,
"trial_name": null,
"trial_params": null
}