vit-weldclassifyv2 / all_results.json
th041's picture
🍻 cheers
f28a27a verified
{
"epoch": 13.0,
"eval_accuracy": 0.8633093525179856,
"eval_loss": 0.46125656366348267,
"eval_runtime": 5.7185,
"eval_samples_per_second": 48.614,
"eval_steps_per_second": 6.121,
"total_flos": 2.5134977377120666e+18,
"train_loss": 0.20268641209277588,
"train_runtime": 776.7577,
"train_samples_per_second": 41.757,
"train_steps_per_second": 2.611
}