Mila
This time for sure x4
3139db4
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 9.649122807017545,
"eval_steps": 500,
"global_step": 16500,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.29,
"learning_rate": 0.0002912280701754386,
"loss": 0.3858,
"step": 500
},
{
"epoch": 0.58,
"learning_rate": 0.0002824561403508772,
"loss": 0.0819,
"step": 1000
},
{
"epoch": 0.88,
"learning_rate": 0.00027368421052631573,
"loss": 0.046,
"step": 1500
},
{
"epoch": 1.0,
"eval_loss": 0.006535602733492851,
"eval_rouge1": 0.9974420190995907,
"eval_rouge2": 0.0,
"eval_rougeL": 0.9974420190995907,
"eval_rougeLsum": 0.9974420190995907,
"eval_runtime": 155.5569,
"eval_samples_per_second": 37.697,
"eval_steps_per_second": 9.424,
"step": 1710
},
{
"epoch": 1.17,
"learning_rate": 0.0002649122807017544,
"loss": 0.0317,
"step": 2000
},
{
"epoch": 1.46,
"learning_rate": 0.00025614035087719294,
"loss": 0.0132,
"step": 2500
},
{
"epoch": 1.75,
"learning_rate": 0.00024736842105263154,
"loss": 0.0103,
"step": 3000
},
{
"epoch": 2.0,
"eval_loss": 0.00893484242260456,
"eval_rouge1": 0.997612551159618,
"eval_rouge2": 0.0,
"eval_rougeL": 0.997612551159618,
"eval_rougeLsum": 0.997612551159618,
"eval_runtime": 159.0943,
"eval_samples_per_second": 36.859,
"eval_steps_per_second": 9.215,
"step": 3420
},
{
"epoch": 2.05,
"learning_rate": 0.00023859649122807015,
"loss": 0.015,
"step": 3500
},
{
"epoch": 2.34,
"learning_rate": 0.00022982456140350875,
"loss": 0.0078,
"step": 4000
},
{
"epoch": 2.63,
"learning_rate": 0.00022105263157894733,
"loss": 0.0075,
"step": 4500
},
{
"epoch": 2.92,
"learning_rate": 0.00021228070175438596,
"loss": 0.0105,
"step": 5000
},
{
"epoch": 3.0,
"eval_loss": 0.002929441863670945,
"eval_rouge1": 0.9982946793997272,
"eval_rouge2": 0.0,
"eval_rougeL": 0.9982946793997272,
"eval_rougeLsum": 0.9982946793997272,
"eval_runtime": 155.9353,
"eval_samples_per_second": 37.605,
"eval_steps_per_second": 9.401,
"step": 5130
},
{
"epoch": 3.22,
"learning_rate": 0.00020350877192982454,
"loss": 0.0159,
"step": 5500
},
{
"epoch": 3.51,
"learning_rate": 0.00019473684210526314,
"loss": 0.0121,
"step": 6000
},
{
"epoch": 3.8,
"learning_rate": 0.00018596491228070172,
"loss": 0.0105,
"step": 6500
},
{
"epoch": 4.0,
"eval_loss": 0.0014885533601045609,
"eval_rouge1": 0.9986357435197817,
"eval_rouge2": 0.0,
"eval_rougeL": 0.9986357435197817,
"eval_rougeLsum": 0.9986357435197817,
"eval_runtime": 159.1866,
"eval_samples_per_second": 36.837,
"eval_steps_per_second": 9.209,
"step": 6840
},
{
"epoch": 4.09,
"learning_rate": 0.00017719298245614035,
"loss": 0.0136,
"step": 7000
},
{
"epoch": 4.39,
"learning_rate": 0.00016842105263157892,
"loss": 0.0067,
"step": 7500
},
{
"epoch": 4.68,
"learning_rate": 0.00015964912280701753,
"loss": 0.0052,
"step": 8000
},
{
"epoch": 4.97,
"learning_rate": 0.00015087719298245613,
"loss": 0.0032,
"step": 8500
},
{
"epoch": 5.0,
"eval_loss": 0.002013931516557932,
"eval_rouge1": 0.9982946793997272,
"eval_rouge2": 0.0,
"eval_rougeL": 0.9982946793997272,
"eval_rougeLsum": 0.9982946793997272,
"eval_runtime": 158.9827,
"eval_samples_per_second": 36.885,
"eval_steps_per_second": 9.221,
"step": 8550
},
{
"epoch": 5.26,
"learning_rate": 0.0001421052631578947,
"loss": 0.0036,
"step": 9000
},
{
"epoch": 5.56,
"learning_rate": 0.0001333333333333333,
"loss": 0.0028,
"step": 9500
},
{
"epoch": 5.85,
"learning_rate": 0.00012456140350877192,
"loss": 0.0023,
"step": 10000
},
{
"epoch": 6.0,
"eval_loss": 0.008263664320111275,
"eval_rouge1": 0.997612551159618,
"eval_rouge2": 0.0,
"eval_rougeL": 0.997612551159618,
"eval_rougeLsum": 0.997612551159618,
"eval_runtime": 165.6672,
"eval_samples_per_second": 35.396,
"eval_steps_per_second": 8.849,
"step": 10260
},
{
"epoch": 6.14,
"learning_rate": 0.00011578947368421051,
"loss": 0.0045,
"step": 10500
},
{
"epoch": 6.43,
"learning_rate": 0.00010701754385964911,
"loss": 0.0031,
"step": 11000
},
{
"epoch": 6.73,
"learning_rate": 9.82456140350877e-05,
"loss": 0.0013,
"step": 11500
},
{
"epoch": 7.0,
"eval_loss": 0.003634733846411109,
"eval_rouge1": 0.9982946793997272,
"eval_rouge2": 0.0,
"eval_rougeL": 0.9982946793997272,
"eval_rougeLsum": 0.9982946793997272,
"eval_runtime": 165.5178,
"eval_samples_per_second": 35.428,
"eval_steps_per_second": 8.857,
"step": 11970
},
{
"epoch": 7.02,
"learning_rate": 8.94736842105263e-05,
"loss": 0.0017,
"step": 12000
},
{
"epoch": 7.31,
"learning_rate": 8.07017543859649e-05,
"loss": 0.0008,
"step": 12500
},
{
"epoch": 7.6,
"learning_rate": 7.19298245614035e-05,
"loss": 0.0017,
"step": 13000
},
{
"epoch": 7.89,
"learning_rate": 6.315789473684209e-05,
"loss": 0.0012,
"step": 13500
},
{
"epoch": 8.0,
"eval_loss": 0.0013940236531198025,
"eval_rouge1": 0.9982946793997272,
"eval_rouge2": 0.0,
"eval_rougeL": 0.9982946793997272,
"eval_rougeLsum": 0.9982946793997272,
"eval_runtime": 166.5345,
"eval_samples_per_second": 35.212,
"eval_steps_per_second": 8.803,
"step": 13680
},
{
"epoch": 8.19,
"learning_rate": 5.4385964912280694e-05,
"loss": 0.0024,
"step": 14000
},
{
"epoch": 8.48,
"learning_rate": 4.561403508771929e-05,
"loss": 0.0015,
"step": 14500
},
{
"epoch": 8.77,
"learning_rate": 3.684210526315789e-05,
"loss": 0.0012,
"step": 15000
},
{
"epoch": 9.0,
"eval_loss": 0.0021317724604159594,
"eval_rouge1": 0.9982946793997272,
"eval_rouge2": 0.0,
"eval_rougeL": 0.9982946793997272,
"eval_rougeLsum": 0.9982946793997272,
"eval_runtime": 166.3607,
"eval_samples_per_second": 35.249,
"eval_steps_per_second": 8.812,
"step": 15390
},
{
"epoch": 9.06,
"learning_rate": 2.807017543859649e-05,
"loss": 0.0008,
"step": 15500
},
{
"epoch": 9.36,
"learning_rate": 1.9298245614035086e-05,
"loss": 0.0004,
"step": 16000
},
{
"epoch": 9.65,
"learning_rate": 1.0526315789473683e-05,
"loss": 0.0006,
"step": 16500
}
],
"logging_steps": 500,
"max_steps": 17100,
"num_train_epochs": 10,
"save_steps": 500,
"total_flos": 4237085908942848.0,
"trial_name": null,
"trial_params": null
}