|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 15.0, |
|
"global_step": 19800, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.38, |
|
"learning_rate": 9.747474747474748e-06, |
|
"loss": 4.7208, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.76, |
|
"learning_rate": 9.494949494949497e-06, |
|
"loss": 3.9925, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.4415254294872284, |
|
"eval_loss": 3.0844156742095947, |
|
"eval_runtime": 2.3507, |
|
"eval_samples_per_second": 501.979, |
|
"eval_steps_per_second": 62.96, |
|
"step": 1320 |
|
}, |
|
{ |
|
"epoch": 1.14, |
|
"learning_rate": 9.242424242424244e-06, |
|
"loss": 3.4313, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 1.52, |
|
"learning_rate": 8.98989898989899e-06, |
|
"loss": 2.8522, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 1.89, |
|
"learning_rate": 8.737373737373738e-06, |
|
"loss": 2.5041, |
|
"step": 2500 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.6076270937919617, |
|
"eval_loss": 2.1596200466156006, |
|
"eval_runtime": 2.2538, |
|
"eval_samples_per_second": 523.57, |
|
"eval_steps_per_second": 65.668, |
|
"step": 2640 |
|
}, |
|
{ |
|
"epoch": 2.27, |
|
"learning_rate": 8.484848484848486e-06, |
|
"loss": 2.084, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 2.65, |
|
"learning_rate": 8.232323232323233e-06, |
|
"loss": 1.8061, |
|
"step": 3500 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.6991525292396545, |
|
"eval_loss": 1.677289605140686, |
|
"eval_runtime": 2.2466, |
|
"eval_samples_per_second": 525.247, |
|
"eval_steps_per_second": 65.878, |
|
"step": 3960 |
|
}, |
|
{ |
|
"epoch": 3.03, |
|
"learning_rate": 7.97979797979798e-06, |
|
"loss": 1.5077, |
|
"step": 4000 |
|
}, |
|
{ |
|
"epoch": 3.41, |
|
"learning_rate": 7.727272727272727e-06, |
|
"loss": 1.2211, |
|
"step": 4500 |
|
}, |
|
{ |
|
"epoch": 3.79, |
|
"learning_rate": 7.474747474747476e-06, |
|
"loss": 1.0694, |
|
"step": 5000 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.738135576248169, |
|
"eval_loss": 1.4130308628082275, |
|
"eval_runtime": 2.248, |
|
"eval_samples_per_second": 524.904, |
|
"eval_steps_per_second": 65.835, |
|
"step": 5280 |
|
}, |
|
{ |
|
"epoch": 4.17, |
|
"learning_rate": 7.222222222222223e-06, |
|
"loss": 0.9075, |
|
"step": 5500 |
|
}, |
|
{ |
|
"epoch": 4.55, |
|
"learning_rate": 6.969696969696971e-06, |
|
"loss": 0.7228, |
|
"step": 6000 |
|
}, |
|
{ |
|
"epoch": 4.92, |
|
"learning_rate": 6.717171717171718e-06, |
|
"loss": 0.6479, |
|
"step": 6500 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy": 0.756779670715332, |
|
"eval_loss": 1.2893790006637573, |
|
"eval_runtime": 2.2638, |
|
"eval_samples_per_second": 521.246, |
|
"eval_steps_per_second": 65.377, |
|
"step": 6600 |
|
}, |
|
{ |
|
"epoch": 5.3, |
|
"learning_rate": 6.464646464646466e-06, |
|
"loss": 0.4916, |
|
"step": 7000 |
|
}, |
|
{ |
|
"epoch": 5.68, |
|
"learning_rate": 6.212121212121213e-06, |
|
"loss": 0.4408, |
|
"step": 7500 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_accuracy": 0.7610169649124146, |
|
"eval_loss": 1.2462122440338135, |
|
"eval_runtime": 2.2391, |
|
"eval_samples_per_second": 526.986, |
|
"eval_steps_per_second": 66.097, |
|
"step": 7920 |
|
}, |
|
{ |
|
"epoch": 6.06, |
|
"learning_rate": 5.95959595959596e-06, |
|
"loss": 0.3744, |
|
"step": 8000 |
|
}, |
|
{ |
|
"epoch": 6.44, |
|
"learning_rate": 5.7070707070707075e-06, |
|
"loss": 0.2804, |
|
"step": 8500 |
|
}, |
|
{ |
|
"epoch": 6.82, |
|
"learning_rate": 5.4545454545454545e-06, |
|
"loss": 0.2542, |
|
"step": 9000 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"eval_accuracy": 0.758474588394165, |
|
"eval_loss": 1.255508303642273, |
|
"eval_runtime": 2.2461, |
|
"eval_samples_per_second": 525.357, |
|
"eval_steps_per_second": 65.892, |
|
"step": 9240 |
|
}, |
|
{ |
|
"epoch": 7.2, |
|
"learning_rate": 5.202020202020202e-06, |
|
"loss": 0.2309, |
|
"step": 9500 |
|
}, |
|
{ |
|
"epoch": 7.58, |
|
"learning_rate": 4.94949494949495e-06, |
|
"loss": 0.175, |
|
"step": 10000 |
|
}, |
|
{ |
|
"epoch": 7.95, |
|
"learning_rate": 4.696969696969698e-06, |
|
"loss": 0.1709, |
|
"step": 10500 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"eval_accuracy": 0.7686440944671631, |
|
"eval_loss": 1.2667639255523682, |
|
"eval_runtime": 2.2458, |
|
"eval_samples_per_second": 525.416, |
|
"eval_steps_per_second": 65.9, |
|
"step": 10560 |
|
}, |
|
{ |
|
"epoch": 8.33, |
|
"learning_rate": 4.444444444444444e-06, |
|
"loss": 0.1309, |
|
"step": 11000 |
|
}, |
|
{ |
|
"epoch": 8.71, |
|
"learning_rate": 4.191919191919192e-06, |
|
"loss": 0.1181, |
|
"step": 11500 |
|
}, |
|
{ |
|
"epoch": 9.0, |
|
"eval_accuracy": 0.7661017179489136, |
|
"eval_loss": 1.3035602569580078, |
|
"eval_runtime": 2.2529, |
|
"eval_samples_per_second": 523.772, |
|
"eval_steps_per_second": 65.693, |
|
"step": 11880 |
|
}, |
|
{ |
|
"epoch": 9.09, |
|
"learning_rate": 3.93939393939394e-06, |
|
"loss": 0.1117, |
|
"step": 12000 |
|
}, |
|
{ |
|
"epoch": 9.47, |
|
"learning_rate": 3.686868686868687e-06, |
|
"loss": 0.0835, |
|
"step": 12500 |
|
}, |
|
{ |
|
"epoch": 9.85, |
|
"learning_rate": 3.4343434343434347e-06, |
|
"loss": 0.0878, |
|
"step": 13000 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"eval_accuracy": 0.7703390121459961, |
|
"eval_loss": 1.3468350172042847, |
|
"eval_runtime": 2.2708, |
|
"eval_samples_per_second": 519.645, |
|
"eval_steps_per_second": 65.176, |
|
"step": 13200 |
|
}, |
|
{ |
|
"epoch": 10.23, |
|
"learning_rate": 3.181818181818182e-06, |
|
"loss": 0.069, |
|
"step": 13500 |
|
}, |
|
{ |
|
"epoch": 10.61, |
|
"learning_rate": 2.9292929292929295e-06, |
|
"loss": 0.0703, |
|
"step": 14000 |
|
}, |
|
{ |
|
"epoch": 10.98, |
|
"learning_rate": 2.676767676767677e-06, |
|
"loss": 0.0702, |
|
"step": 14500 |
|
}, |
|
{ |
|
"epoch": 11.0, |
|
"eval_accuracy": 0.7694915533065796, |
|
"eval_loss": 1.368751049041748, |
|
"eval_runtime": 2.2407, |
|
"eval_samples_per_second": 526.625, |
|
"eval_steps_per_second": 66.051, |
|
"step": 14520 |
|
}, |
|
{ |
|
"epoch": 11.36, |
|
"learning_rate": 2.4242424242424244e-06, |
|
"loss": 0.0497, |
|
"step": 15000 |
|
}, |
|
{ |
|
"epoch": 11.74, |
|
"learning_rate": 2.171717171717172e-06, |
|
"loss": 0.0528, |
|
"step": 15500 |
|
}, |
|
{ |
|
"epoch": 12.0, |
|
"eval_accuracy": 0.7728813290596008, |
|
"eval_loss": 1.3977546691894531, |
|
"eval_runtime": 2.2687, |
|
"eval_samples_per_second": 520.126, |
|
"eval_steps_per_second": 65.236, |
|
"step": 15840 |
|
}, |
|
{ |
|
"epoch": 12.12, |
|
"learning_rate": 1.9191919191919192e-06, |
|
"loss": 0.0504, |
|
"step": 16000 |
|
}, |
|
{ |
|
"epoch": 12.5, |
|
"learning_rate": 1.6666666666666667e-06, |
|
"loss": 0.048, |
|
"step": 16500 |
|
}, |
|
{ |
|
"epoch": 12.88, |
|
"learning_rate": 1.4141414141414143e-06, |
|
"loss": 0.0406, |
|
"step": 17000 |
|
}, |
|
{ |
|
"epoch": 13.0, |
|
"eval_accuracy": 0.7737287878990173, |
|
"eval_loss": 1.4153683185577393, |
|
"eval_runtime": 2.2479, |
|
"eval_samples_per_second": 524.932, |
|
"eval_steps_per_second": 65.839, |
|
"step": 17160 |
|
}, |
|
{ |
|
"epoch": 13.26, |
|
"learning_rate": 1.1616161616161617e-06, |
|
"loss": 0.0453, |
|
"step": 17500 |
|
}, |
|
{ |
|
"epoch": 13.64, |
|
"learning_rate": 9.090909090909091e-07, |
|
"loss": 0.0321, |
|
"step": 18000 |
|
}, |
|
{ |
|
"epoch": 14.0, |
|
"eval_accuracy": 0.7720338702201843, |
|
"eval_loss": 1.4201210737228394, |
|
"eval_runtime": 2.2402, |
|
"eval_samples_per_second": 526.74, |
|
"eval_steps_per_second": 66.066, |
|
"step": 18480 |
|
}, |
|
{ |
|
"epoch": 14.02, |
|
"learning_rate": 6.565656565656567e-07, |
|
"loss": 0.0436, |
|
"step": 18500 |
|
}, |
|
{ |
|
"epoch": 14.39, |
|
"learning_rate": 4.040404040404041e-07, |
|
"loss": 0.037, |
|
"step": 19000 |
|
}, |
|
{ |
|
"epoch": 14.77, |
|
"learning_rate": 1.5151515151515152e-07, |
|
"loss": 0.0308, |
|
"step": 19500 |
|
}, |
|
{ |
|
"epoch": 15.0, |
|
"eval_accuracy": 0.7720338702201843, |
|
"eval_loss": 1.4250497817993164, |
|
"eval_runtime": 2.2478, |
|
"eval_samples_per_second": 524.949, |
|
"eval_steps_per_second": 65.841, |
|
"step": 19800 |
|
}, |
|
{ |
|
"epoch": 15.0, |
|
"step": 19800, |
|
"total_flos": 5215995096399360.0, |
|
"train_loss": 0.7848883512285021, |
|
"train_runtime": 2005.2761, |
|
"train_samples_per_second": 78.962, |
|
"train_steps_per_second": 9.874 |
|
} |
|
], |
|
"max_steps": 19800, |
|
"num_train_epochs": 15, |
|
"total_flos": 5215995096399360.0, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|