|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 5.0, |
|
"global_step": 27925, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 3e-05, |
|
"loss": 3.5105, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.18, |
|
"learning_rate": 2.945305378304467e-05, |
|
"loss": 1.6044, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.27, |
|
"learning_rate": 2.8906107566089334e-05, |
|
"loss": 1.5561, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 0.36, |
|
"learning_rate": 2.8359161349134002e-05, |
|
"loss": 1.5065, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 0.45, |
|
"learning_rate": 2.781221513217867e-05, |
|
"loss": 1.4607, |
|
"step": 2500 |
|
}, |
|
{ |
|
"epoch": 0.54, |
|
"learning_rate": 2.726526891522334e-05, |
|
"loss": 1.4575, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 0.63, |
|
"learning_rate": 2.6718322698268003e-05, |
|
"loss": 1.432, |
|
"step": 3500 |
|
}, |
|
{ |
|
"epoch": 0.72, |
|
"learning_rate": 2.617137648131267e-05, |
|
"loss": 1.4269, |
|
"step": 4000 |
|
}, |
|
{ |
|
"epoch": 0.81, |
|
"learning_rate": 2.562443026435734e-05, |
|
"loss": 1.4204, |
|
"step": 4500 |
|
}, |
|
{ |
|
"epoch": 0.9, |
|
"learning_rate": 2.5077484047402008e-05, |
|
"loss": 1.4037, |
|
"step": 5000 |
|
}, |
|
{ |
|
"epoch": 0.98, |
|
"learning_rate": 2.4530537830446673e-05, |
|
"loss": 1.4064, |
|
"step": 5500 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_bleu": 0.8646, |
|
"eval_gen_len": 16.6, |
|
"eval_loss": 1.450329303741455, |
|
"eval_runtime": 368.5927, |
|
"eval_samples_per_second": 56.358, |
|
"eval_steps_per_second": 0.882, |
|
"step": 5585 |
|
}, |
|
{ |
|
"epoch": 1.07, |
|
"learning_rate": 2.398359161349134e-05, |
|
"loss": 1.3601, |
|
"step": 6000 |
|
}, |
|
{ |
|
"epoch": 1.16, |
|
"learning_rate": 2.343664539653601e-05, |
|
"loss": 1.3596, |
|
"step": 6500 |
|
}, |
|
{ |
|
"epoch": 1.25, |
|
"learning_rate": 2.2889699179580678e-05, |
|
"loss": 1.3655, |
|
"step": 7000 |
|
}, |
|
{ |
|
"epoch": 1.34, |
|
"learning_rate": 2.2342752962625342e-05, |
|
"loss": 1.326, |
|
"step": 7500 |
|
}, |
|
{ |
|
"epoch": 1.43, |
|
"learning_rate": 2.179580674567001e-05, |
|
"loss": 1.3327, |
|
"step": 8000 |
|
}, |
|
{ |
|
"epoch": 1.52, |
|
"learning_rate": 2.124886052871468e-05, |
|
"loss": 1.3367, |
|
"step": 8500 |
|
}, |
|
{ |
|
"epoch": 1.61, |
|
"learning_rate": 2.0701914311759347e-05, |
|
"loss": 1.3305, |
|
"step": 9000 |
|
}, |
|
{ |
|
"epoch": 1.7, |
|
"learning_rate": 2.0154968094804012e-05, |
|
"loss": 1.3218, |
|
"step": 9500 |
|
}, |
|
{ |
|
"epoch": 1.79, |
|
"learning_rate": 1.960802187784868e-05, |
|
"loss": 1.3302, |
|
"step": 10000 |
|
}, |
|
{ |
|
"epoch": 1.88, |
|
"learning_rate": 1.906107566089335e-05, |
|
"loss": 1.3173, |
|
"step": 10500 |
|
}, |
|
{ |
|
"epoch": 1.97, |
|
"learning_rate": 1.8514129443938013e-05, |
|
"loss": 1.3306, |
|
"step": 11000 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_bleu": 0.8302, |
|
"eval_gen_len": 16.9, |
|
"eval_loss": 1.422479271888733, |
|
"eval_runtime": 368.3493, |
|
"eval_samples_per_second": 56.395, |
|
"eval_steps_per_second": 0.882, |
|
"step": 11170 |
|
}, |
|
{ |
|
"epoch": 2.06, |
|
"learning_rate": 1.7967183226982678e-05, |
|
"loss": 1.2841, |
|
"step": 11500 |
|
}, |
|
{ |
|
"epoch": 2.15, |
|
"learning_rate": 1.7420237010027346e-05, |
|
"loss": 1.287, |
|
"step": 12000 |
|
}, |
|
{ |
|
"epoch": 2.24, |
|
"learning_rate": 1.6873290793072015e-05, |
|
"loss": 1.2772, |
|
"step": 12500 |
|
}, |
|
{ |
|
"epoch": 2.33, |
|
"learning_rate": 1.632634457611668e-05, |
|
"loss": 1.2802, |
|
"step": 13000 |
|
}, |
|
{ |
|
"epoch": 2.42, |
|
"learning_rate": 1.5779398359161348e-05, |
|
"loss": 1.27, |
|
"step": 13500 |
|
}, |
|
{ |
|
"epoch": 2.51, |
|
"learning_rate": 1.5232452142206018e-05, |
|
"loss": 1.273, |
|
"step": 14000 |
|
}, |
|
{ |
|
"epoch": 2.6, |
|
"learning_rate": 1.4685505925250684e-05, |
|
"loss": 1.2888, |
|
"step": 14500 |
|
}, |
|
{ |
|
"epoch": 2.69, |
|
"learning_rate": 1.4138559708295352e-05, |
|
"loss": 1.2767, |
|
"step": 15000 |
|
}, |
|
{ |
|
"epoch": 2.78, |
|
"learning_rate": 1.3591613491340019e-05, |
|
"loss": 1.2713, |
|
"step": 15500 |
|
}, |
|
{ |
|
"epoch": 2.86, |
|
"learning_rate": 1.3044667274384685e-05, |
|
"loss": 1.253, |
|
"step": 16000 |
|
}, |
|
{ |
|
"epoch": 2.95, |
|
"learning_rate": 1.2497721057429352e-05, |
|
"loss": 1.262, |
|
"step": 16500 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_bleu": 1.0163, |
|
"eval_gen_len": 17.1, |
|
"eval_loss": 1.4149495363235474, |
|
"eval_runtime": 367.931, |
|
"eval_samples_per_second": 56.459, |
|
"eval_steps_per_second": 0.883, |
|
"step": 16755 |
|
}, |
|
{ |
|
"epoch": 3.04, |
|
"learning_rate": 1.195077484047402e-05, |
|
"loss": 1.2486, |
|
"step": 17000 |
|
}, |
|
{ |
|
"epoch": 3.13, |
|
"learning_rate": 1.1403828623518687e-05, |
|
"loss": 1.2413, |
|
"step": 17500 |
|
}, |
|
{ |
|
"epoch": 3.22, |
|
"learning_rate": 1.0856882406563355e-05, |
|
"loss": 1.2174, |
|
"step": 18000 |
|
}, |
|
{ |
|
"epoch": 3.31, |
|
"learning_rate": 1.0309936189608021e-05, |
|
"loss": 1.2258, |
|
"step": 18500 |
|
}, |
|
{ |
|
"epoch": 3.4, |
|
"learning_rate": 9.76298997265269e-06, |
|
"loss": 1.2378, |
|
"step": 19000 |
|
}, |
|
{ |
|
"epoch": 3.49, |
|
"learning_rate": 9.216043755697356e-06, |
|
"loss": 1.2286, |
|
"step": 19500 |
|
}, |
|
{ |
|
"epoch": 3.58, |
|
"learning_rate": 8.669097538742024e-06, |
|
"loss": 1.2317, |
|
"step": 20000 |
|
}, |
|
{ |
|
"epoch": 3.67, |
|
"learning_rate": 8.122151321786691e-06, |
|
"loss": 1.2386, |
|
"step": 20500 |
|
}, |
|
{ |
|
"epoch": 3.76, |
|
"learning_rate": 7.575205104831359e-06, |
|
"loss": 1.22, |
|
"step": 21000 |
|
}, |
|
{ |
|
"epoch": 3.85, |
|
"learning_rate": 7.028258887876026e-06, |
|
"loss": 1.2252, |
|
"step": 21500 |
|
}, |
|
{ |
|
"epoch": 3.94, |
|
"learning_rate": 6.481312670920693e-06, |
|
"loss": 1.2175, |
|
"step": 22000 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_bleu": 0.9445, |
|
"eval_gen_len": 17.2, |
|
"eval_loss": 1.416054606437683, |
|
"eval_runtime": 367.7817, |
|
"eval_samples_per_second": 56.482, |
|
"eval_steps_per_second": 0.884, |
|
"step": 22340 |
|
}, |
|
{ |
|
"epoch": 4.03, |
|
"learning_rate": 5.9343664539653605e-06, |
|
"loss": 1.2158, |
|
"step": 22500 |
|
}, |
|
{ |
|
"epoch": 4.12, |
|
"learning_rate": 5.387420237010028e-06, |
|
"loss": 1.1916, |
|
"step": 23000 |
|
}, |
|
{ |
|
"epoch": 4.21, |
|
"learning_rate": 4.8404740200546945e-06, |
|
"loss": 1.2079, |
|
"step": 23500 |
|
}, |
|
{ |
|
"epoch": 4.3, |
|
"learning_rate": 4.293527803099362e-06, |
|
"loss": 1.2124, |
|
"step": 24000 |
|
}, |
|
{ |
|
"epoch": 4.39, |
|
"learning_rate": 3.7465815861440297e-06, |
|
"loss": 1.2006, |
|
"step": 24500 |
|
}, |
|
{ |
|
"epoch": 4.48, |
|
"learning_rate": 3.199635369188696e-06, |
|
"loss": 1.2121, |
|
"step": 25000 |
|
}, |
|
{ |
|
"epoch": 4.57, |
|
"learning_rate": 2.6526891522333636e-06, |
|
"loss": 1.2022, |
|
"step": 25500 |
|
}, |
|
{ |
|
"epoch": 4.66, |
|
"learning_rate": 2.105742935278031e-06, |
|
"loss": 1.2029, |
|
"step": 26000 |
|
}, |
|
{ |
|
"epoch": 4.74, |
|
"learning_rate": 1.5587967183226983e-06, |
|
"loss": 1.2008, |
|
"step": 26500 |
|
}, |
|
{ |
|
"epoch": 4.83, |
|
"learning_rate": 1.0118505013673655e-06, |
|
"loss": 1.2193, |
|
"step": 27000 |
|
}, |
|
{ |
|
"epoch": 4.92, |
|
"learning_rate": 4.6490428441203284e-07, |
|
"loss": 1.2108, |
|
"step": 27500 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_bleu": 1.0114, |
|
"eval_gen_len": 17.3, |
|
"eval_loss": 1.4185353517532349, |
|
"eval_runtime": 367.8873, |
|
"eval_samples_per_second": 56.466, |
|
"eval_steps_per_second": 0.883, |
|
"step": 27925 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"step": 27925, |
|
"total_flos": 5.320769336064e+17, |
|
"train_loss": 1.3384765100436438, |
|
"train_runtime": 44633.7325, |
|
"train_samples_per_second": 40.04, |
|
"train_steps_per_second": 0.626 |
|
} |
|
], |
|
"max_steps": 27925, |
|
"num_train_epochs": 5, |
|
"total_flos": 5.320769336064e+17, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|