T5-paraphrasing / trainer_state.json
Mathilda's picture
Upload trainer_state.json
e575c4f
{
"best_metric": 1.5944311618804932,
"best_model_checkpoint": "/nfs/paraphrasing/output/bert-finetuned-para/checkpoint-1500",
"epoch": 0.008791827117511562,
"global_step": 1500,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.0,
"learning_rate": 1.9998827756384335e-05,
"loss": 2.0282,
"step": 500
},
{
"epoch": 0.0,
"eval_gen_len": 13.1456,
"eval_loss": 1.6860297918319702,
"eval_rouge1": 55.3995,
"eval_rouge2": 32.0094,
"eval_rougeL": 53.1553,
"eval_rougeLsum": 53.1706,
"eval_runtime": 50298.9522,
"eval_samples_per_second": 27.136,
"eval_steps_per_second": 0.424,
"step": 500
},
{
"epoch": 0.01,
"learning_rate": 1.9997655512768664e-05,
"loss": 1.8116,
"step": 1000
},
{
"epoch": 0.01,
"eval_gen_len": 13.1187,
"eval_loss": 1.6253910064697266,
"eval_rouge1": 56.0224,
"eval_rouge2": 32.6912,
"eval_rougeL": 53.7965,
"eval_rougeLsum": 53.8115,
"eval_runtime": 111894.1395,
"eval_samples_per_second": 12.198,
"eval_steps_per_second": 0.191,
"step": 1000
},
{
"epoch": 0.01,
"learning_rate": 1.9996483269152997e-05,
"loss": 1.7615,
"step": 1500
},
{
"epoch": 0.01,
"eval_gen_len": 13.0796,
"eval_loss": 1.5944311618804932,
"eval_rouge1": 56.3476,
"eval_rouge2": 33.0715,
"eval_rougeL": 54.1323,
"eval_rougeLsum": 54.1475,
"eval_runtime": 102094.2868,
"eval_samples_per_second": 13.369,
"eval_steps_per_second": 0.209,
"step": 1500
}
],
"max_steps": 8530650,
"num_train_epochs": 50,
"total_flos": 4699507207962624.0,
"trial_name": null,
"trial_params": null
}