dima806's picture
Upload folder using huggingface_hub
89d804f verified
raw
history blame contribute delete
No virus
2.54 kB
{
"best_metric": 0.13462364673614502,
"best_model_checkpoint": "fast_food_image_detection/checkpoint-2500",
"epoch": 5.0,
"eval_steps": 500,
"global_step": 2500,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"grad_norm": 0.28725844621658325,
"learning_rate": 1.6326530612244897e-06,
"loss": 0.225,
"step": 500
},
{
"epoch": 1.0,
"eval_accuracy": 0.9757074881041823,
"eval_loss": 0.14208008348941803,
"eval_runtime": 39.2448,
"eval_samples_per_second": 101.746,
"eval_steps_per_second": 12.741,
"step": 500
},
{
"epoch": 2.0,
"grad_norm": 0.3262328803539276,
"learning_rate": 1.2244897959183673e-06,
"loss": 0.2101,
"step": 1000
},
{
"epoch": 2.0,
"eval_accuracy": 0.9769596794390183,
"eval_loss": 0.13922728598117828,
"eval_runtime": 38.0806,
"eval_samples_per_second": 104.856,
"eval_steps_per_second": 13.13,
"step": 1000
},
{
"epoch": 3.0,
"grad_norm": 0.27534928917884827,
"learning_rate": 8.163265306122449e-07,
"loss": 0.1932,
"step": 1500
},
{
"epoch": 3.0,
"eval_accuracy": 0.9774605559729527,
"eval_loss": 0.1367102861404419,
"eval_runtime": 37.9368,
"eval_samples_per_second": 105.254,
"eval_steps_per_second": 13.18,
"step": 1500
},
{
"epoch": 4.0,
"grad_norm": 3.9497718811035156,
"learning_rate": 4.0816326530612243e-07,
"loss": 0.1909,
"step": 2000
},
{
"epoch": 4.0,
"eval_accuracy": 0.9769596794390183,
"eval_loss": 0.13517306745052338,
"eval_runtime": 37.8037,
"eval_samples_per_second": 105.625,
"eval_steps_per_second": 13.226,
"step": 2000
},
{
"epoch": 5.0,
"grad_norm": 0.22323879599571228,
"learning_rate": 0.0,
"loss": 0.1859,
"step": 2500
},
{
"epoch": 5.0,
"eval_accuracy": 0.9774605559729527,
"eval_loss": 0.13462364673614502,
"eval_runtime": 38.526,
"eval_samples_per_second": 103.644,
"eval_steps_per_second": 12.978,
"step": 2500
}
],
"logging_steps": 500,
"max_steps": 2500,
"num_input_tokens_seen": 0,
"num_train_epochs": 5,
"save_steps": 500,
"total_flos": 6.188179040444621e+18,
"train_batch_size": 32,
"trial_name": null,
"trial_params": null
}