|
{ |
|
"best_metric": 0.36825016140937805, |
|
"best_model_checkpoint": "data/Gemma-2-2B_task-3_120-samples_config-1_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": 11.006781578063965, |
|
"learning_rate": 1.818181818181818e-06, |
|
"loss": 4.3957, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.18181818181818182, |
|
"grad_norm": 6.361999034881592, |
|
"learning_rate": 3.636363636363636e-06, |
|
"loss": 3.1845, |
|
"step": 2 |
|
}, |
|
{ |
|
"epoch": 0.36363636363636365, |
|
"grad_norm": 6.361944198608398, |
|
"learning_rate": 7.272727272727272e-06, |
|
"loss": 3.3559, |
|
"step": 4 |
|
}, |
|
{ |
|
"epoch": 0.5454545454545454, |
|
"grad_norm": 4.936976909637451, |
|
"learning_rate": 1.0909090909090909e-05, |
|
"loss": 3.1351, |
|
"step": 6 |
|
}, |
|
{ |
|
"epoch": 0.7272727272727273, |
|
"grad_norm": 8.912232398986816, |
|
"learning_rate": 1.4545454545454545e-05, |
|
"loss": 3.0486, |
|
"step": 8 |
|
}, |
|
{ |
|
"epoch": 0.9090909090909091, |
|
"grad_norm": 7.448002815246582, |
|
"learning_rate": 1.8181818181818182e-05, |
|
"loss": 2.9033, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_loss": 2.6048784255981445, |
|
"eval_runtime": 7.7434, |
|
"eval_samples_per_second": 3.099, |
|
"eval_steps_per_second": 3.099, |
|
"step": 11 |
|
}, |
|
{ |
|
"epoch": 1.0909090909090908, |
|
"grad_norm": 6.16674280166626, |
|
"learning_rate": 2.1818181818181818e-05, |
|
"loss": 2.6991, |
|
"step": 12 |
|
}, |
|
{ |
|
"epoch": 1.2727272727272727, |
|
"grad_norm": 5.293051242828369, |
|
"learning_rate": 2.5454545454545454e-05, |
|
"loss": 2.1676, |
|
"step": 14 |
|
}, |
|
{ |
|
"epoch": 1.4545454545454546, |
|
"grad_norm": 3.995722532272339, |
|
"learning_rate": 2.909090909090909e-05, |
|
"loss": 2.153, |
|
"step": 16 |
|
}, |
|
{ |
|
"epoch": 1.6363636363636362, |
|
"grad_norm": 3.376025676727295, |
|
"learning_rate": 3.272727272727273e-05, |
|
"loss": 1.5524, |
|
"step": 18 |
|
}, |
|
{ |
|
"epoch": 1.8181818181818183, |
|
"grad_norm": 2.412623167037964, |
|
"learning_rate": 3.6363636363636364e-05, |
|
"loss": 1.3212, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"grad_norm": 3.236947774887085, |
|
"learning_rate": 4e-05, |
|
"loss": 0.9959, |
|
"step": 22 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_loss": 0.9210925102233887, |
|
"eval_runtime": 7.4972, |
|
"eval_samples_per_second": 3.201, |
|
"eval_steps_per_second": 3.201, |
|
"step": 22 |
|
}, |
|
{ |
|
"epoch": 2.1818181818181817, |
|
"grad_norm": 2.2208316326141357, |
|
"learning_rate": 4.3636363636363636e-05, |
|
"loss": 0.7936, |
|
"step": 24 |
|
}, |
|
{ |
|
"epoch": 2.3636363636363638, |
|
"grad_norm": 1.0128132104873657, |
|
"learning_rate": 4.7272727272727275e-05, |
|
"loss": 0.7579, |
|
"step": 26 |
|
}, |
|
{ |
|
"epoch": 2.5454545454545454, |
|
"grad_norm": 1.316047191619873, |
|
"learning_rate": 5.090909090909091e-05, |
|
"loss": 0.6118, |
|
"step": 28 |
|
}, |
|
{ |
|
"epoch": 2.7272727272727275, |
|
"grad_norm": 0.9991164803504944, |
|
"learning_rate": 5.4545454545454546e-05, |
|
"loss": 0.5135, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 2.909090909090909, |
|
"grad_norm": 0.6279535293579102, |
|
"learning_rate": 5.818181818181818e-05, |
|
"loss": 0.3036, |
|
"step": 32 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_loss": 0.4791443645954132, |
|
"eval_runtime": 7.5164, |
|
"eval_samples_per_second": 3.193, |
|
"eval_steps_per_second": 3.193, |
|
"step": 33 |
|
}, |
|
{ |
|
"epoch": 3.090909090909091, |
|
"grad_norm": 0.6234776377677917, |
|
"learning_rate": 6.181818181818182e-05, |
|
"loss": 0.5341, |
|
"step": 34 |
|
}, |
|
{ |
|
"epoch": 3.2727272727272725, |
|
"grad_norm": 0.43922051787376404, |
|
"learning_rate": 6.545454545454546e-05, |
|
"loss": 0.1294, |
|
"step": 36 |
|
}, |
|
{ |
|
"epoch": 3.4545454545454546, |
|
"grad_norm": 0.5349417328834534, |
|
"learning_rate": 6.90909090909091e-05, |
|
"loss": 0.427, |
|
"step": 38 |
|
}, |
|
{ |
|
"epoch": 3.6363636363636362, |
|
"grad_norm": 0.663760781288147, |
|
"learning_rate": 7.272727272727273e-05, |
|
"loss": 0.414, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 3.8181818181818183, |
|
"grad_norm": 0.6541147232055664, |
|
"learning_rate": 7.636363636363637e-05, |
|
"loss": 0.5232, |
|
"step": 42 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"grad_norm": 0.539898157119751, |
|
"learning_rate": 8e-05, |
|
"loss": 0.3507, |
|
"step": 44 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_loss": 0.4003179967403412, |
|
"eval_runtime": 7.5046, |
|
"eval_samples_per_second": 3.198, |
|
"eval_steps_per_second": 3.198, |
|
"step": 44 |
|
}, |
|
{ |
|
"epoch": 4.181818181818182, |
|
"grad_norm": 0.37961480021476746, |
|
"learning_rate": 8.363636363636364e-05, |
|
"loss": 0.2693, |
|
"step": 46 |
|
}, |
|
{ |
|
"epoch": 4.363636363636363, |
|
"grad_norm": 0.6985395550727844, |
|
"learning_rate": 8.727272727272727e-05, |
|
"loss": 0.4497, |
|
"step": 48 |
|
}, |
|
{ |
|
"epoch": 4.545454545454545, |
|
"grad_norm": 0.4456002712249756, |
|
"learning_rate": 9.090909090909092e-05, |
|
"loss": 0.2553, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 4.7272727272727275, |
|
"grad_norm": 0.4576929211616516, |
|
"learning_rate": 9.454545454545455e-05, |
|
"loss": 0.2604, |
|
"step": 52 |
|
}, |
|
{ |
|
"epoch": 4.909090909090909, |
|
"grad_norm": 0.6171721816062927, |
|
"learning_rate": 9.818181818181818e-05, |
|
"loss": 0.2977, |
|
"step": 54 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_loss": 0.36825016140937805, |
|
"eval_runtime": 7.4926, |
|
"eval_samples_per_second": 3.203, |
|
"eval_steps_per_second": 3.203, |
|
"step": 55 |
|
}, |
|
{ |
|
"epoch": 5.090909090909091, |
|
"grad_norm": 0.5098957419395447, |
|
"learning_rate": 9.999899300364532e-05, |
|
"loss": 0.3141, |
|
"step": 56 |
|
}, |
|
{ |
|
"epoch": 5.2727272727272725, |
|
"grad_norm": 0.5279871821403503, |
|
"learning_rate": 9.99909372761763e-05, |
|
"loss": 0.2913, |
|
"step": 58 |
|
}, |
|
{ |
|
"epoch": 5.454545454545454, |
|
"grad_norm": 0.4445846378803253, |
|
"learning_rate": 9.997482711915927e-05, |
|
"loss": 0.158, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 5.636363636363637, |
|
"grad_norm": 0.36122986674308777, |
|
"learning_rate": 9.99506651282272e-05, |
|
"loss": 0.2206, |
|
"step": 62 |
|
}, |
|
{ |
|
"epoch": 5.818181818181818, |
|
"grad_norm": 0.5653752088546753, |
|
"learning_rate": 9.991845519630678e-05, |
|
"loss": 0.2277, |
|
"step": 64 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"grad_norm": 0.731476902961731, |
|
"learning_rate": 9.987820251299122e-05, |
|
"loss": 0.2739, |
|
"step": 66 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_loss": 0.37520870566368103, |
|
"eval_runtime": 7.4907, |
|
"eval_samples_per_second": 3.204, |
|
"eval_steps_per_second": 3.204, |
|
"step": 66 |
|
}, |
|
{ |
|
"epoch": 6.181818181818182, |
|
"grad_norm": 0.5517078638076782, |
|
"learning_rate": 9.982991356370404e-05, |
|
"loss": 0.1487, |
|
"step": 68 |
|
}, |
|
{ |
|
"epoch": 6.363636363636363, |
|
"grad_norm": 0.5384305119514465, |
|
"learning_rate": 9.977359612865423e-05, |
|
"loss": 0.1944, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 6.545454545454545, |
|
"grad_norm": 0.8201135993003845, |
|
"learning_rate": 9.970925928158274e-05, |
|
"loss": 0.2923, |
|
"step": 72 |
|
}, |
|
{ |
|
"epoch": 6.7272727272727275, |
|
"grad_norm": 0.7586239576339722, |
|
"learning_rate": 9.963691338830044e-05, |
|
"loss": 0.1532, |
|
"step": 74 |
|
}, |
|
{ |
|
"epoch": 6.909090909090909, |
|
"grad_norm": 1.3042950630187988, |
|
"learning_rate": 9.955657010501806e-05, |
|
"loss": 0.1787, |
|
"step": 76 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"eval_loss": 0.44048985838890076, |
|
"eval_runtime": 7.4988, |
|
"eval_samples_per_second": 3.201, |
|
"eval_steps_per_second": 3.201, |
|
"step": 77 |
|
}, |
|
{ |
|
"epoch": 7.090909090909091, |
|
"grad_norm": 0.9256752729415894, |
|
"learning_rate": 9.946824237646824e-05, |
|
"loss": 0.0959, |
|
"step": 78 |
|
}, |
|
{ |
|
"epoch": 7.2727272727272725, |
|
"grad_norm": 1.0876535177230835, |
|
"learning_rate": 9.937194443381972e-05, |
|
"loss": 0.1981, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 7.454545454545454, |
|
"grad_norm": 0.6428214311599731, |
|
"learning_rate": 9.926769179238466e-05, |
|
"loss": 0.0554, |
|
"step": 82 |
|
}, |
|
{ |
|
"epoch": 7.636363636363637, |
|
"grad_norm": 0.6934786438941956, |
|
"learning_rate": 9.915550124911866e-05, |
|
"loss": 0.0871, |
|
"step": 84 |
|
}, |
|
{ |
|
"epoch": 7.818181818181818, |
|
"grad_norm": 0.7447779178619385, |
|
"learning_rate": 9.903539087991462e-05, |
|
"loss": 0.1279, |
|
"step": 86 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"grad_norm": 1.1104106903076172, |
|
"learning_rate": 9.890738003669029e-05, |
|
"loss": 0.1167, |
|
"step": 88 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"eval_loss": 0.5092648267745972, |
|
"eval_runtime": 7.4939, |
|
"eval_samples_per_second": 3.203, |
|
"eval_steps_per_second": 3.203, |
|
"step": 88 |
|
}, |
|
{ |
|
"epoch": 8.181818181818182, |
|
"grad_norm": 0.7919206619262695, |
|
"learning_rate": 9.877148934427037e-05, |
|
"loss": 0.0769, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 8.363636363636363, |
|
"grad_norm": 0.772554874420166, |
|
"learning_rate": 9.862774069706346e-05, |
|
"loss": 0.0515, |
|
"step": 92 |
|
}, |
|
{ |
|
"epoch": 8.545454545454545, |
|
"grad_norm": 0.5378653407096863, |
|
"learning_rate": 9.847615725553456e-05, |
|
"loss": 0.038, |
|
"step": 94 |
|
}, |
|
{ |
|
"epoch": 8.727272727272727, |
|
"grad_norm": 0.684589147567749, |
|
"learning_rate": 9.831676344247342e-05, |
|
"loss": 0.0876, |
|
"step": 96 |
|
}, |
|
{ |
|
"epoch": 8.909090909090908, |
|
"grad_norm": 1.2758557796478271, |
|
"learning_rate": 9.814958493905963e-05, |
|
"loss": 0.0928, |
|
"step": 98 |
|
}, |
|
{ |
|
"epoch": 9.0, |
|
"eval_loss": 0.6302943825721741, |
|
"eval_runtime": 7.4945, |
|
"eval_samples_per_second": 3.202, |
|
"eval_steps_per_second": 3.202, |
|
"step": 99 |
|
}, |
|
{ |
|
"epoch": 9.090909090909092, |
|
"grad_norm": 0.6050943732261658, |
|
"learning_rate": 9.797464868072488e-05, |
|
"loss": 0.0531, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 9.272727272727273, |
|
"grad_norm": 1.1192340850830078, |
|
"learning_rate": 9.779198285281325e-05, |
|
"loss": 0.0141, |
|
"step": 102 |
|
}, |
|
{ |
|
"epoch": 9.454545454545455, |
|
"grad_norm": 1.3488664627075195, |
|
"learning_rate": 9.760161688604008e-05, |
|
"loss": 0.0797, |
|
"step": 104 |
|
}, |
|
{ |
|
"epoch": 9.636363636363637, |
|
"grad_norm": 0.8850768804550171, |
|
"learning_rate": 9.740358145174998e-05, |
|
"loss": 0.0414, |
|
"step": 106 |
|
}, |
|
{ |
|
"epoch": 9.818181818181818, |
|
"grad_norm": 1.1459277868270874, |
|
"learning_rate": 9.719790845697533e-05, |
|
"loss": 0.0287, |
|
"step": 108 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"grad_norm": 0.6032407283782959, |
|
"learning_rate": 9.698463103929542e-05, |
|
"loss": 0.0316, |
|
"step": 110 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"eval_loss": 0.7081627249717712, |
|
"eval_runtime": 7.4983, |
|
"eval_samples_per_second": 3.201, |
|
"eval_steps_per_second": 3.201, |
|
"step": 110 |
|
}, |
|
{ |
|
"epoch": 10.181818181818182, |
|
"grad_norm": 0.7567160725593567, |
|
"learning_rate": 9.676378356149734e-05, |
|
"loss": 0.0287, |
|
"step": 112 |
|
}, |
|
{ |
|
"epoch": 10.363636363636363, |
|
"grad_norm": 0.6921805739402771, |
|
"learning_rate": 9.653540160603956e-05, |
|
"loss": 0.0389, |
|
"step": 114 |
|
}, |
|
{ |
|
"epoch": 10.545454545454545, |
|
"grad_norm": 0.9014925360679626, |
|
"learning_rate": 9.629952196931901e-05, |
|
"loss": 0.0288, |
|
"step": 116 |
|
}, |
|
{ |
|
"epoch": 10.727272727272727, |
|
"grad_norm": 1.5081769227981567, |
|
"learning_rate": 9.60561826557425e-05, |
|
"loss": 0.055, |
|
"step": 118 |
|
}, |
|
{ |
|
"epoch": 10.909090909090908, |
|
"grad_norm": 2.0981285572052, |
|
"learning_rate": 9.580542287160348e-05, |
|
"loss": 0.0231, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 11.0, |
|
"eval_loss": 0.6809744834899902, |
|
"eval_runtime": 7.4929, |
|
"eval_samples_per_second": 3.203, |
|
"eval_steps_per_second": 3.203, |
|
"step": 121 |
|
}, |
|
{ |
|
"epoch": 11.090909090909092, |
|
"grad_norm": 1.2533338069915771, |
|
"learning_rate": 9.554728301876526e-05, |
|
"loss": 0.0251, |
|
"step": 122 |
|
}, |
|
{ |
|
"epoch": 11.272727272727273, |
|
"grad_norm": 0.9695553779602051, |
|
"learning_rate": 9.528180468815155e-05, |
|
"loss": 0.0261, |
|
"step": 124 |
|
}, |
|
{ |
|
"epoch": 11.454545454545455, |
|
"grad_norm": 0.31058475375175476, |
|
"learning_rate": 9.50090306530454e-05, |
|
"loss": 0.0225, |
|
"step": 126 |
|
}, |
|
{ |
|
"epoch": 11.636363636363637, |
|
"grad_norm": 0.6186215877532959, |
|
"learning_rate": 9.472900486219769e-05, |
|
"loss": 0.0216, |
|
"step": 128 |
|
}, |
|
{ |
|
"epoch": 11.818181818181818, |
|
"grad_norm": 0.3455003798007965, |
|
"learning_rate": 9.444177243274618e-05, |
|
"loss": 0.0124, |
|
"step": 130 |
|
}, |
|
{ |
|
"epoch": 12.0, |
|
"grad_norm": 0.8163161873817444, |
|
"learning_rate": 9.414737964294636e-05, |
|
"loss": 0.0257, |
|
"step": 132 |
|
}, |
|
{ |
|
"epoch": 12.0, |
|
"eval_loss": 0.8246378898620605, |
|
"eval_runtime": 7.4958, |
|
"eval_samples_per_second": 3.202, |
|
"eval_steps_per_second": 3.202, |
|
"step": 132 |
|
}, |
|
{ |
|
"epoch": 12.0, |
|
"step": 132, |
|
"total_flos": 2.8581641706274816e+16, |
|
"train_loss": 0.5765298042643928, |
|
"train_runtime": 1206.9458, |
|
"train_samples_per_second": 3.646, |
|
"train_steps_per_second": 0.456 |
|
} |
|
], |
|
"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": 2.8581641706274816e+16, |
|
"train_batch_size": 1, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|