summarization-lora-1 / all_results.json
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{
"epoch": 5.0,
"eval_gen_len": 1.0,
"eval_loss": 0.5019394755363464,
"eval_rouge1": 0.4829,
"eval_rouge2": 0.0,
"eval_rougeL": 0.4847,
"eval_rougeLsum": 0.48,
"eval_runtime": 583.5328,
"eval_samples": 749,
"eval_samples_per_second": 1.284,
"eval_steps_per_second": 0.041,
"predict_gen_len": 1.0,
"predict_loss": 0.49051612615585327,
"predict_rouge1": 0.4041,
"predict_rouge2": 0.0,
"predict_rougeL": 0.4029,
"predict_rougeLsum": 0.4023,
"predict_runtime": 2667.022,
"predict_samples": 3762,
"predict_samples_per_second": 1.411,
"predict_steps_per_second": 0.044,
"total_flos": 4.922112594935808e+16,
"train_loss": 0.5897949560875315,
"train_runtime": 3934.2037,
"train_samples": 14263,
"train_samples_per_second": 18.127,
"train_steps_per_second": 1.134
}