|
{ |
|
"best_metric": 0.8506781458854675, |
|
"best_model_checkpoint": "data/Mistral-7B_task-3_120-samples_config-1_full_auto/checkpoint-55", |
|
"epoch": 12.0, |
|
"eval_steps": 500, |
|
"global_step": 132, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.09090909090909091, |
|
"grad_norm": 1.012304663658142, |
|
"learning_rate": 1.818181818181818e-06, |
|
"loss": 1.171, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.18181818181818182, |
|
"grad_norm": 1.2253605127334595, |
|
"learning_rate": 3.636363636363636e-06, |
|
"loss": 1.322, |
|
"step": 2 |
|
}, |
|
{ |
|
"epoch": 0.36363636363636365, |
|
"grad_norm": 0.9963738322257996, |
|
"learning_rate": 7.272727272727272e-06, |
|
"loss": 1.2139, |
|
"step": 4 |
|
}, |
|
{ |
|
"epoch": 0.5454545454545454, |
|
"grad_norm": 0.9595217704772949, |
|
"learning_rate": 1.0909090909090909e-05, |
|
"loss": 1.2163, |
|
"step": 6 |
|
}, |
|
{ |
|
"epoch": 0.7272727272727273, |
|
"grad_norm": 0.8450391888618469, |
|
"learning_rate": 1.4545454545454545e-05, |
|
"loss": 1.2429, |
|
"step": 8 |
|
}, |
|
{ |
|
"epoch": 0.9090909090909091, |
|
"grad_norm": 0.6564331650733948, |
|
"learning_rate": 1.8181818181818182e-05, |
|
"loss": 1.1614, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_loss": 1.1416277885437012, |
|
"eval_runtime": 25.879, |
|
"eval_samples_per_second": 0.927, |
|
"eval_steps_per_second": 0.927, |
|
"step": 11 |
|
}, |
|
{ |
|
"epoch": 1.0909090909090908, |
|
"grad_norm": 0.6047136187553406, |
|
"learning_rate": 2.1818181818181818e-05, |
|
"loss": 1.1924, |
|
"step": 12 |
|
}, |
|
{ |
|
"epoch": 1.2727272727272727, |
|
"grad_norm": 0.39012518525123596, |
|
"learning_rate": 2.5454545454545454e-05, |
|
"loss": 1.0928, |
|
"step": 14 |
|
}, |
|
{ |
|
"epoch": 1.4545454545454546, |
|
"grad_norm": 0.4803689122200012, |
|
"learning_rate": 2.909090909090909e-05, |
|
"loss": 1.0944, |
|
"step": 16 |
|
}, |
|
{ |
|
"epoch": 1.6363636363636362, |
|
"grad_norm": 0.4926101565361023, |
|
"learning_rate": 3.272727272727273e-05, |
|
"loss": 1.1072, |
|
"step": 18 |
|
}, |
|
{ |
|
"epoch": 1.8181818181818183, |
|
"grad_norm": 0.4342550039291382, |
|
"learning_rate": 3.6363636363636364e-05, |
|
"loss": 1.0556, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"grad_norm": 0.39658549427986145, |
|
"learning_rate": 4e-05, |
|
"loss": 0.9734, |
|
"step": 22 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_loss": 1.0177873373031616, |
|
"eval_runtime": 25.8714, |
|
"eval_samples_per_second": 0.928, |
|
"eval_steps_per_second": 0.928, |
|
"step": 22 |
|
}, |
|
{ |
|
"epoch": 2.1818181818181817, |
|
"grad_norm": 0.3215712010860443, |
|
"learning_rate": 4.3636363636363636e-05, |
|
"loss": 1.0057, |
|
"step": 24 |
|
}, |
|
{ |
|
"epoch": 2.3636363636363638, |
|
"grad_norm": 0.5286137461662292, |
|
"learning_rate": 4.7272727272727275e-05, |
|
"loss": 0.9539, |
|
"step": 26 |
|
}, |
|
{ |
|
"epoch": 2.5454545454545454, |
|
"grad_norm": 0.4327259063720703, |
|
"learning_rate": 5.090909090909091e-05, |
|
"loss": 0.9102, |
|
"step": 28 |
|
}, |
|
{ |
|
"epoch": 2.7272727272727275, |
|
"grad_norm": 0.3998343050479889, |
|
"learning_rate": 5.4545454545454546e-05, |
|
"loss": 0.9345, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 2.909090909090909, |
|
"grad_norm": 0.37148231267929077, |
|
"learning_rate": 5.818181818181818e-05, |
|
"loss": 0.8716, |
|
"step": 32 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_loss": 0.891235888004303, |
|
"eval_runtime": 25.871, |
|
"eval_samples_per_second": 0.928, |
|
"eval_steps_per_second": 0.928, |
|
"step": 33 |
|
}, |
|
{ |
|
"epoch": 3.090909090909091, |
|
"grad_norm": 0.31582313776016235, |
|
"learning_rate": 6.181818181818182e-05, |
|
"loss": 0.8644, |
|
"step": 34 |
|
}, |
|
{ |
|
"epoch": 3.2727272727272725, |
|
"grad_norm": 0.28333473205566406, |
|
"learning_rate": 6.545454545454546e-05, |
|
"loss": 0.8479, |
|
"step": 36 |
|
}, |
|
{ |
|
"epoch": 3.4545454545454546, |
|
"grad_norm": 0.30229219794273376, |
|
"learning_rate": 6.90909090909091e-05, |
|
"loss": 0.8432, |
|
"step": 38 |
|
}, |
|
{ |
|
"epoch": 3.6363636363636362, |
|
"grad_norm": 0.26926714181900024, |
|
"learning_rate": 7.272727272727273e-05, |
|
"loss": 0.7941, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 3.8181818181818183, |
|
"grad_norm": 0.36835384368896484, |
|
"learning_rate": 7.636363636363637e-05, |
|
"loss": 0.7592, |
|
"step": 42 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"grad_norm": 0.26915186643600464, |
|
"learning_rate": 8e-05, |
|
"loss": 0.8725, |
|
"step": 44 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_loss": 0.8626171946525574, |
|
"eval_runtime": 25.8722, |
|
"eval_samples_per_second": 0.928, |
|
"eval_steps_per_second": 0.928, |
|
"step": 44 |
|
}, |
|
{ |
|
"epoch": 4.181818181818182, |
|
"grad_norm": 0.3232079744338989, |
|
"learning_rate": 8.363636363636364e-05, |
|
"loss": 0.7644, |
|
"step": 46 |
|
}, |
|
{ |
|
"epoch": 4.363636363636363, |
|
"grad_norm": 0.30384936928749084, |
|
"learning_rate": 8.727272727272727e-05, |
|
"loss": 0.8133, |
|
"step": 48 |
|
}, |
|
{ |
|
"epoch": 4.545454545454545, |
|
"grad_norm": 0.27904725074768066, |
|
"learning_rate": 9.090909090909092e-05, |
|
"loss": 0.7727, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 4.7272727272727275, |
|
"grad_norm": 0.3493795394897461, |
|
"learning_rate": 9.454545454545455e-05, |
|
"loss": 0.7659, |
|
"step": 52 |
|
}, |
|
{ |
|
"epoch": 4.909090909090909, |
|
"grad_norm": 0.27498477697372437, |
|
"learning_rate": 9.818181818181818e-05, |
|
"loss": 0.8125, |
|
"step": 54 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_loss": 0.8506781458854675, |
|
"eval_runtime": 25.8728, |
|
"eval_samples_per_second": 0.928, |
|
"eval_steps_per_second": 0.928, |
|
"step": 55 |
|
}, |
|
{ |
|
"epoch": 5.090909090909091, |
|
"grad_norm": 0.28064048290252686, |
|
"learning_rate": 9.999899300364532e-05, |
|
"loss": 0.7575, |
|
"step": 56 |
|
}, |
|
{ |
|
"epoch": 5.2727272727272725, |
|
"grad_norm": 0.33129581809043884, |
|
"learning_rate": 9.99909372761763e-05, |
|
"loss": 0.7589, |
|
"step": 58 |
|
}, |
|
{ |
|
"epoch": 5.454545454545454, |
|
"grad_norm": 0.37331491708755493, |
|
"learning_rate": 9.997482711915927e-05, |
|
"loss": 0.7, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 5.636363636363637, |
|
"grad_norm": 0.3793705999851227, |
|
"learning_rate": 9.99506651282272e-05, |
|
"loss": 0.7142, |
|
"step": 62 |
|
}, |
|
{ |
|
"epoch": 5.818181818181818, |
|
"grad_norm": 0.4419674575328827, |
|
"learning_rate": 9.991845519630678e-05, |
|
"loss": 0.7132, |
|
"step": 64 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"grad_norm": 0.44069525599479675, |
|
"learning_rate": 9.987820251299122e-05, |
|
"loss": 0.7541, |
|
"step": 66 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_loss": 0.8532574772834778, |
|
"eval_runtime": 25.8729, |
|
"eval_samples_per_second": 0.928, |
|
"eval_steps_per_second": 0.928, |
|
"step": 66 |
|
}, |
|
{ |
|
"epoch": 6.181818181818182, |
|
"grad_norm": 0.5028610229492188, |
|
"learning_rate": 9.982991356370404e-05, |
|
"loss": 0.6384, |
|
"step": 68 |
|
}, |
|
{ |
|
"epoch": 6.363636363636363, |
|
"grad_norm": 0.6297198534011841, |
|
"learning_rate": 9.977359612865423e-05, |
|
"loss": 0.6797, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 6.545454545454545, |
|
"grad_norm": 0.4972052276134491, |
|
"learning_rate": 9.970925928158274e-05, |
|
"loss": 0.6112, |
|
"step": 72 |
|
}, |
|
{ |
|
"epoch": 6.7272727272727275, |
|
"grad_norm": 0.4890666604042053, |
|
"learning_rate": 9.963691338830044e-05, |
|
"loss": 0.6494, |
|
"step": 74 |
|
}, |
|
{ |
|
"epoch": 6.909090909090909, |
|
"grad_norm": 0.6373401284217834, |
|
"learning_rate": 9.955657010501806e-05, |
|
"loss": 0.6871, |
|
"step": 76 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"eval_loss": 0.8666830062866211, |
|
"eval_runtime": 25.8692, |
|
"eval_samples_per_second": 0.928, |
|
"eval_steps_per_second": 0.928, |
|
"step": 77 |
|
}, |
|
{ |
|
"epoch": 7.090909090909091, |
|
"grad_norm": 0.5935012102127075, |
|
"learning_rate": 9.946824237646824e-05, |
|
"loss": 0.7017, |
|
"step": 78 |
|
}, |
|
{ |
|
"epoch": 7.2727272727272725, |
|
"grad_norm": 0.6022512316703796, |
|
"learning_rate": 9.937194443381972e-05, |
|
"loss": 0.5229, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 7.454545454545454, |
|
"grad_norm": 0.8682543635368347, |
|
"learning_rate": 9.926769179238466e-05, |
|
"loss": 0.5421, |
|
"step": 82 |
|
}, |
|
{ |
|
"epoch": 7.636363636363637, |
|
"grad_norm": 0.6757321357727051, |
|
"learning_rate": 9.915550124911866e-05, |
|
"loss": 0.5795, |
|
"step": 84 |
|
}, |
|
{ |
|
"epoch": 7.818181818181818, |
|
"grad_norm": 0.6471613645553589, |
|
"learning_rate": 9.903539087991462e-05, |
|
"loss": 0.5569, |
|
"step": 86 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"grad_norm": 0.7226406335830688, |
|
"learning_rate": 9.890738003669029e-05, |
|
"loss": 0.6206, |
|
"step": 88 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"eval_loss": 0.9129067063331604, |
|
"eval_runtime": 25.8689, |
|
"eval_samples_per_second": 0.928, |
|
"eval_steps_per_second": 0.928, |
|
"step": 88 |
|
}, |
|
{ |
|
"epoch": 8.181818181818182, |
|
"grad_norm": 0.777737557888031, |
|
"learning_rate": 9.877148934427037e-05, |
|
"loss": 0.5258, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 8.363636363636363, |
|
"grad_norm": 1.1797261238098145, |
|
"learning_rate": 9.862774069706346e-05, |
|
"loss": 0.4784, |
|
"step": 92 |
|
}, |
|
{ |
|
"epoch": 8.545454545454545, |
|
"grad_norm": 0.8039947748184204, |
|
"learning_rate": 9.847615725553456e-05, |
|
"loss": 0.5046, |
|
"step": 94 |
|
}, |
|
{ |
|
"epoch": 8.727272727272727, |
|
"grad_norm": 0.7812055349349976, |
|
"learning_rate": 9.831676344247342e-05, |
|
"loss": 0.4289, |
|
"step": 96 |
|
}, |
|
{ |
|
"epoch": 8.909090909090908, |
|
"grad_norm": 0.839874267578125, |
|
"learning_rate": 9.814958493905963e-05, |
|
"loss": 0.4919, |
|
"step": 98 |
|
}, |
|
{ |
|
"epoch": 9.0, |
|
"eval_loss": 0.9646734595298767, |
|
"eval_runtime": 25.886, |
|
"eval_samples_per_second": 0.927, |
|
"eval_steps_per_second": 0.927, |
|
"step": 99 |
|
}, |
|
{ |
|
"epoch": 9.090909090909092, |
|
"grad_norm": 0.7887756824493408, |
|
"learning_rate": 9.797464868072488e-05, |
|
"loss": 0.4812, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 9.272727272727273, |
|
"grad_norm": 1.1427494287490845, |
|
"learning_rate": 9.779198285281325e-05, |
|
"loss": 0.3731, |
|
"step": 102 |
|
}, |
|
{ |
|
"epoch": 9.454545454545455, |
|
"grad_norm": 1.0812352895736694, |
|
"learning_rate": 9.760161688604008e-05, |
|
"loss": 0.3769, |
|
"step": 104 |
|
}, |
|
{ |
|
"epoch": 9.636363636363637, |
|
"grad_norm": 1.0405755043029785, |
|
"learning_rate": 9.740358145174998e-05, |
|
"loss": 0.4414, |
|
"step": 106 |
|
}, |
|
{ |
|
"epoch": 9.818181818181818, |
|
"grad_norm": 0.982853889465332, |
|
"learning_rate": 9.719790845697533e-05, |
|
"loss": 0.3949, |
|
"step": 108 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"grad_norm": 1.2930797338485718, |
|
"learning_rate": 9.698463103929542e-05, |
|
"loss": 0.381, |
|
"step": 110 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"eval_loss": 1.0133259296417236, |
|
"eval_runtime": 25.8852, |
|
"eval_samples_per_second": 0.927, |
|
"eval_steps_per_second": 0.927, |
|
"step": 110 |
|
}, |
|
{ |
|
"epoch": 10.181818181818182, |
|
"grad_norm": 1.0800763368606567, |
|
"learning_rate": 9.676378356149734e-05, |
|
"loss": 0.3013, |
|
"step": 112 |
|
}, |
|
{ |
|
"epoch": 10.363636363636363, |
|
"grad_norm": 1.1959099769592285, |
|
"learning_rate": 9.653540160603956e-05, |
|
"loss": 0.3115, |
|
"step": 114 |
|
}, |
|
{ |
|
"epoch": 10.545454545454545, |
|
"grad_norm": 1.054177165031433, |
|
"learning_rate": 9.629952196931901e-05, |
|
"loss": 0.306, |
|
"step": 116 |
|
}, |
|
{ |
|
"epoch": 10.727272727272727, |
|
"grad_norm": 1.0009381771087646, |
|
"learning_rate": 9.60561826557425e-05, |
|
"loss": 0.3264, |
|
"step": 118 |
|
}, |
|
{ |
|
"epoch": 10.909090909090908, |
|
"grad_norm": 1.032883882522583, |
|
"learning_rate": 9.580542287160348e-05, |
|
"loss": 0.3491, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 11.0, |
|
"eval_loss": 1.0941095352172852, |
|
"eval_runtime": 25.8919, |
|
"eval_samples_per_second": 0.927, |
|
"eval_steps_per_second": 0.927, |
|
"step": 121 |
|
}, |
|
{ |
|
"epoch": 11.090909090909092, |
|
"grad_norm": 0.9598305225372314, |
|
"learning_rate": 9.554728301876526e-05, |
|
"loss": 0.2806, |
|
"step": 122 |
|
}, |
|
{ |
|
"epoch": 11.272727272727273, |
|
"grad_norm": 1.169908046722412, |
|
"learning_rate": 9.528180468815155e-05, |
|
"loss": 0.2436, |
|
"step": 124 |
|
}, |
|
{ |
|
"epoch": 11.454545454545455, |
|
"grad_norm": 1.0633145570755005, |
|
"learning_rate": 9.50090306530454e-05, |
|
"loss": 0.2585, |
|
"step": 126 |
|
}, |
|
{ |
|
"epoch": 11.636363636363637, |
|
"grad_norm": 0.9604322910308838, |
|
"learning_rate": 9.472900486219769e-05, |
|
"loss": 0.2903, |
|
"step": 128 |
|
}, |
|
{ |
|
"epoch": 11.818181818181818, |
|
"grad_norm": 1.161165714263916, |
|
"learning_rate": 9.444177243274618e-05, |
|
"loss": 0.2438, |
|
"step": 130 |
|
}, |
|
{ |
|
"epoch": 12.0, |
|
"grad_norm": 1.2847615480422974, |
|
"learning_rate": 9.414737964294636e-05, |
|
"loss": 0.2613, |
|
"step": 132 |
|
}, |
|
{ |
|
"epoch": 12.0, |
|
"eval_loss": 1.119102954864502, |
|
"eval_runtime": 25.8889, |
|
"eval_samples_per_second": 0.927, |
|
"eval_steps_per_second": 0.927, |
|
"step": 132 |
|
}, |
|
{ |
|
"epoch": 12.0, |
|
"step": 132, |
|
"total_flos": 1.0340910033482547e+17, |
|
"train_loss": 0.6881949709671916, |
|
"train_runtime": 3843.3104, |
|
"train_samples_per_second": 1.145, |
|
"train_steps_per_second": 0.143 |
|
} |
|
], |
|
"logging_steps": 2, |
|
"max_steps": 550, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 50, |
|
"save_steps": 25, |
|
"stateful_callbacks": { |
|
"EarlyStoppingCallback": { |
|
"args": { |
|
"early_stopping_patience": 7, |
|
"early_stopping_threshold": 0.0 |
|
}, |
|
"attributes": { |
|
"early_stopping_patience_counter": 0 |
|
} |
|
}, |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": true |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 1.0340910033482547e+17, |
|
"train_batch_size": 1, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|