it5-summarization-mlsum / all_results.json
artelabsuper
add trained model
5b3e33d
{
"epoch": 4.0,
"eval_gen_len": 32.7635,
"eval_loss": 2.0189740657806396,
"eval_rouge1": 19.2854,
"eval_rouge2": 6.0392,
"eval_rougeL": 16.4987,
"eval_rougeLsum": 16.616,
"eval_runtime": 647.9074,
"eval_samples": 4000,
"eval_samples_per_second": 6.174,
"eval_steps_per_second": 1.029,
"predict_gen_len": 32.5268,
"predict_loss": 1.9996718168258667,
"predict_rouge1": 19.3739,
"predict_rouge2": 5.9753,
"predict_rougeL": 16.691,
"predict_rougeLsum": 16.7862,
"predict_runtime": 650.8156,
"predict_samples": 4000,
"predict_samples_per_second": 6.146,
"predict_steps_per_second": 1.025,
"train_loss": 2.132151625336569,
"train_runtime": 19550.5305,
"train_samples": 31997,
"train_samples_per_second": 6.547,
"train_steps_per_second": 1.091
}