|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 1.7278617710583153, |
|
"eval_steps": 17, |
|
"global_step": 200, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.008639308855291577, |
|
"eval_loss": 0.0871872752904892, |
|
"eval_runtime": 27.2621, |
|
"eval_samples_per_second": 7.153, |
|
"eval_steps_per_second": 0.917, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.02591792656587473, |
|
"grad_norm": 0.4171031415462494, |
|
"learning_rate": 3e-05, |
|
"loss": 0.097, |
|
"step": 3 |
|
}, |
|
{ |
|
"epoch": 0.05183585313174946, |
|
"grad_norm": 0.2446499764919281, |
|
"learning_rate": 6e-05, |
|
"loss": 0.0725, |
|
"step": 6 |
|
}, |
|
{ |
|
"epoch": 0.07775377969762419, |
|
"grad_norm": 0.18422715365886688, |
|
"learning_rate": 9e-05, |
|
"loss": 0.0455, |
|
"step": 9 |
|
}, |
|
{ |
|
"epoch": 0.10367170626349892, |
|
"grad_norm": 0.1500893086194992, |
|
"learning_rate": 9.997266286704631e-05, |
|
"loss": 0.0206, |
|
"step": 12 |
|
}, |
|
{ |
|
"epoch": 0.12958963282937366, |
|
"grad_norm": 0.09739550203084946, |
|
"learning_rate": 9.98292246503335e-05, |
|
"loss": 0.0159, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 0.1468682505399568, |
|
"eval_loss": 0.009772061370313168, |
|
"eval_runtime": 27.6846, |
|
"eval_samples_per_second": 7.044, |
|
"eval_steps_per_second": 0.903, |
|
"step": 17 |
|
}, |
|
{ |
|
"epoch": 0.15550755939524838, |
|
"grad_norm": 0.06743879616260529, |
|
"learning_rate": 9.956320346634876e-05, |
|
"loss": 0.0099, |
|
"step": 18 |
|
}, |
|
{ |
|
"epoch": 0.18142548596112312, |
|
"grad_norm": 0.06798849254846573, |
|
"learning_rate": 9.917525374361912e-05, |
|
"loss": 0.0086, |
|
"step": 21 |
|
}, |
|
{ |
|
"epoch": 0.20734341252699784, |
|
"grad_norm": 0.05319894850254059, |
|
"learning_rate": 9.86663298624003e-05, |
|
"loss": 0.0072, |
|
"step": 24 |
|
}, |
|
{ |
|
"epoch": 0.23326133909287258, |
|
"grad_norm": 0.06538129597902298, |
|
"learning_rate": 9.803768380684242e-05, |
|
"loss": 0.0055, |
|
"step": 27 |
|
}, |
|
{ |
|
"epoch": 0.2591792656587473, |
|
"grad_norm": 0.060455236583948135, |
|
"learning_rate": 9.729086208503174e-05, |
|
"loss": 0.0051, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 0.28509719222462204, |
|
"grad_norm": 0.06194108724594116, |
|
"learning_rate": 9.642770192448536e-05, |
|
"loss": 0.0042, |
|
"step": 33 |
|
}, |
|
{ |
|
"epoch": 0.2937365010799136, |
|
"eval_loss": 0.0031290610786527395, |
|
"eval_runtime": 27.6858, |
|
"eval_samples_per_second": 7.043, |
|
"eval_steps_per_second": 0.903, |
|
"step": 34 |
|
}, |
|
{ |
|
"epoch": 0.31101511879049676, |
|
"grad_norm": 0.04522060602903366, |
|
"learning_rate": 9.545032675245813e-05, |
|
"loss": 0.0033, |
|
"step": 36 |
|
}, |
|
{ |
|
"epoch": 0.3369330453563715, |
|
"grad_norm": 0.021508673205971718, |
|
"learning_rate": 9.43611409721806e-05, |
|
"loss": 0.0018, |
|
"step": 39 |
|
}, |
|
{ |
|
"epoch": 0.36285097192224625, |
|
"grad_norm": 0.047018762677907944, |
|
"learning_rate": 9.316282404787871e-05, |
|
"loss": 0.0024, |
|
"step": 42 |
|
}, |
|
{ |
|
"epoch": 0.38876889848812096, |
|
"grad_norm": 0.023386940360069275, |
|
"learning_rate": 9.185832391312644e-05, |
|
"loss": 0.0015, |
|
"step": 45 |
|
}, |
|
{ |
|
"epoch": 0.4146868250539957, |
|
"grad_norm": 0.03639828786253929, |
|
"learning_rate": 9.045084971874738e-05, |
|
"loss": 0.0016, |
|
"step": 48 |
|
}, |
|
{ |
|
"epoch": 0.4406047516198704, |
|
"grad_norm": 0.05475722253322601, |
|
"learning_rate": 8.894386393810563e-05, |
|
"loss": 0.0008, |
|
"step": 51 |
|
}, |
|
{ |
|
"epoch": 0.4406047516198704, |
|
"eval_loss": 0.000927323882933706, |
|
"eval_runtime": 27.706, |
|
"eval_samples_per_second": 7.038, |
|
"eval_steps_per_second": 0.902, |
|
"step": 51 |
|
}, |
|
{ |
|
"epoch": 0.46652267818574517, |
|
"grad_norm": 0.016481637954711914, |
|
"learning_rate": 8.73410738492077e-05, |
|
"loss": 0.0012, |
|
"step": 54 |
|
}, |
|
{ |
|
"epoch": 0.4924406047516199, |
|
"grad_norm": 0.024859052151441574, |
|
"learning_rate": 8.564642241456986e-05, |
|
"loss": 0.0017, |
|
"step": 57 |
|
}, |
|
{ |
|
"epoch": 0.5183585313174947, |
|
"grad_norm": 0.059106212109327316, |
|
"learning_rate": 8.386407858128706e-05, |
|
"loss": 0.0011, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 0.5442764578833693, |
|
"grad_norm": 0.02869432047009468, |
|
"learning_rate": 8.199842702516583e-05, |
|
"loss": 0.0014, |
|
"step": 63 |
|
}, |
|
{ |
|
"epoch": 0.5701943844492441, |
|
"grad_norm": 0.009494743309915066, |
|
"learning_rate": 8.005405736415126e-05, |
|
"loss": 0.001, |
|
"step": 66 |
|
}, |
|
{ |
|
"epoch": 0.5874730021598272, |
|
"eval_loss": 0.0004647255700547248, |
|
"eval_runtime": 27.6692, |
|
"eval_samples_per_second": 7.048, |
|
"eval_steps_per_second": 0.904, |
|
"step": 68 |
|
}, |
|
{ |
|
"epoch": 0.5961123110151187, |
|
"grad_norm": 0.02036004327237606, |
|
"learning_rate": 7.803575286758364e-05, |
|
"loss": 0.0008, |
|
"step": 69 |
|
}, |
|
{ |
|
"epoch": 0.6220302375809935, |
|
"grad_norm": 0.009525030851364136, |
|
"learning_rate": 7.594847868906076e-05, |
|
"loss": 0.0007, |
|
"step": 72 |
|
}, |
|
{ |
|
"epoch": 0.6479481641468683, |
|
"grad_norm": 0.010703514330089092, |
|
"learning_rate": 7.379736965185368e-05, |
|
"loss": 0.0008, |
|
"step": 75 |
|
}, |
|
{ |
|
"epoch": 0.673866090712743, |
|
"grad_norm": 0.025075966492295265, |
|
"learning_rate": 7.158771761692464e-05, |
|
"loss": 0.0004, |
|
"step": 78 |
|
}, |
|
{ |
|
"epoch": 0.6997840172786177, |
|
"grad_norm": 0.007703394629061222, |
|
"learning_rate": 6.932495846462261e-05, |
|
"loss": 0.0004, |
|
"step": 81 |
|
}, |
|
{ |
|
"epoch": 0.7257019438444925, |
|
"grad_norm": 0.04455381631851196, |
|
"learning_rate": 6.701465872208216e-05, |
|
"loss": 0.0008, |
|
"step": 84 |
|
}, |
|
{ |
|
"epoch": 0.734341252699784, |
|
"eval_loss": 0.00040637567872181535, |
|
"eval_runtime": 27.7097, |
|
"eval_samples_per_second": 7.037, |
|
"eval_steps_per_second": 0.902, |
|
"step": 85 |
|
}, |
|
{ |
|
"epoch": 0.7516198704103672, |
|
"grad_norm": 0.03314139321446419, |
|
"learning_rate": 6.466250186922325e-05, |
|
"loss": 0.0014, |
|
"step": 87 |
|
}, |
|
{ |
|
"epoch": 0.7775377969762419, |
|
"grad_norm": 0.0045311711728572845, |
|
"learning_rate": 6.227427435703997e-05, |
|
"loss": 0.0003, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 0.8034557235421166, |
|
"grad_norm": 0.004199441522359848, |
|
"learning_rate": 5.985585137257401e-05, |
|
"loss": 0.0003, |
|
"step": 93 |
|
}, |
|
{ |
|
"epoch": 0.8293736501079914, |
|
"grad_norm": 0.006650756578892469, |
|
"learning_rate": 5.74131823855921e-05, |
|
"loss": 0.0005, |
|
"step": 96 |
|
}, |
|
{ |
|
"epoch": 0.8552915766738661, |
|
"grad_norm": 0.01657930016517639, |
|
"learning_rate": 5.495227651252315e-05, |
|
"loss": 0.0005, |
|
"step": 99 |
|
}, |
|
{ |
|
"epoch": 0.8812095032397408, |
|
"grad_norm": 0.017045479267835617, |
|
"learning_rate": 5.247918773366112e-05, |
|
"loss": 0.0003, |
|
"step": 102 |
|
}, |
|
{ |
|
"epoch": 0.8812095032397408, |
|
"eval_loss": 0.00029769778484478593, |
|
"eval_runtime": 27.6925, |
|
"eval_samples_per_second": 7.042, |
|
"eval_steps_per_second": 0.903, |
|
"step": 102 |
|
}, |
|
{ |
|
"epoch": 0.9071274298056156, |
|
"grad_norm": 0.0062201423570513725, |
|
"learning_rate": 5e-05, |
|
"loss": 0.0004, |
|
"step": 105 |
|
}, |
|
{ |
|
"epoch": 0.9330453563714903, |
|
"grad_norm": 0.002783352741971612, |
|
"learning_rate": 4.7520812266338885e-05, |
|
"loss": 0.0003, |
|
"step": 108 |
|
}, |
|
{ |
|
"epoch": 0.958963282937365, |
|
"grad_norm": 0.015172963961958885, |
|
"learning_rate": 4.504772348747687e-05, |
|
"loss": 0.0004, |
|
"step": 111 |
|
}, |
|
{ |
|
"epoch": 0.9848812095032398, |
|
"grad_norm": 0.012813996523618698, |
|
"learning_rate": 4.2586817614407895e-05, |
|
"loss": 0.0003, |
|
"step": 114 |
|
}, |
|
{ |
|
"epoch": 1.0107991360691144, |
|
"grad_norm": 0.0013970539439469576, |
|
"learning_rate": 4.0144148627425993e-05, |
|
"loss": 0.0004, |
|
"step": 117 |
|
}, |
|
{ |
|
"epoch": 1.0280777537796977, |
|
"eval_loss": 0.00030021622660569847, |
|
"eval_runtime": 27.7142, |
|
"eval_samples_per_second": 7.036, |
|
"eval_steps_per_second": 0.902, |
|
"step": 119 |
|
}, |
|
{ |
|
"epoch": 1.0367170626349893, |
|
"grad_norm": 0.0011866734130308032, |
|
"learning_rate": 3.772572564296005e-05, |
|
"loss": 0.0003, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 1.062634989200864, |
|
"grad_norm": 0.02045155130326748, |
|
"learning_rate": 3.533749813077677e-05, |
|
"loss": 0.0003, |
|
"step": 123 |
|
}, |
|
{ |
|
"epoch": 1.0885529157667386, |
|
"grad_norm": 0.0018892658408731222, |
|
"learning_rate": 3.298534127791785e-05, |
|
"loss": 0.0003, |
|
"step": 126 |
|
}, |
|
{ |
|
"epoch": 1.1144708423326133, |
|
"grad_norm": 0.0013002033811062574, |
|
"learning_rate": 3.0675041535377405e-05, |
|
"loss": 0.0002, |
|
"step": 129 |
|
}, |
|
{ |
|
"epoch": 1.1403887688984882, |
|
"grad_norm": 0.0019219208043068647, |
|
"learning_rate": 2.8412282383075363e-05, |
|
"loss": 0.0005, |
|
"step": 132 |
|
}, |
|
{ |
|
"epoch": 1.1663066954643628, |
|
"grad_norm": 0.010504819452762604, |
|
"learning_rate": 2.6202630348146324e-05, |
|
"loss": 0.0003, |
|
"step": 135 |
|
}, |
|
{ |
|
"epoch": 1.1749460043196545, |
|
"eval_loss": 0.00026334126596339047, |
|
"eval_runtime": 27.7071, |
|
"eval_samples_per_second": 7.038, |
|
"eval_steps_per_second": 0.902, |
|
"step": 136 |
|
}, |
|
{ |
|
"epoch": 1.1922246220302375, |
|
"grad_norm": 0.003067749785259366, |
|
"learning_rate": 2.405152131093926e-05, |
|
"loss": 0.0002, |
|
"step": 138 |
|
}, |
|
{ |
|
"epoch": 1.2181425485961124, |
|
"grad_norm": 0.003538350109010935, |
|
"learning_rate": 2.196424713241637e-05, |
|
"loss": 0.0003, |
|
"step": 141 |
|
}, |
|
{ |
|
"epoch": 1.244060475161987, |
|
"grad_norm": 0.0014513281639665365, |
|
"learning_rate": 1.9945942635848748e-05, |
|
"loss": 0.0002, |
|
"step": 144 |
|
}, |
|
{ |
|
"epoch": 1.2699784017278617, |
|
"grad_norm": 0.003303627949208021, |
|
"learning_rate": 1.800157297483417e-05, |
|
"loss": 0.0002, |
|
"step": 147 |
|
}, |
|
{ |
|
"epoch": 1.2958963282937366, |
|
"grad_norm": 0.001433212892152369, |
|
"learning_rate": 1.6135921418712956e-05, |
|
"loss": 0.0002, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 1.3218142548596112, |
|
"grad_norm": 0.001963813090696931, |
|
"learning_rate": 1.435357758543015e-05, |
|
"loss": 0.0003, |
|
"step": 153 |
|
}, |
|
{ |
|
"epoch": 1.3218142548596112, |
|
"eval_loss": 0.00025074489531107247, |
|
"eval_runtime": 27.728, |
|
"eval_samples_per_second": 7.033, |
|
"eval_steps_per_second": 0.902, |
|
"step": 153 |
|
}, |
|
{ |
|
"epoch": 1.347732181425486, |
|
"grad_norm": 0.0024869884364306927, |
|
"learning_rate": 1.2658926150792322e-05, |
|
"loss": 0.0002, |
|
"step": 156 |
|
}, |
|
{ |
|
"epoch": 1.3736501079913608, |
|
"grad_norm": 0.0010916889877989888, |
|
"learning_rate": 1.1056136061894384e-05, |
|
"loss": 0.0002, |
|
"step": 159 |
|
}, |
|
{ |
|
"epoch": 1.3995680345572354, |
|
"grad_norm": 0.0038498463109135628, |
|
"learning_rate": 9.549150281252633e-06, |
|
"loss": 0.0004, |
|
"step": 162 |
|
}, |
|
{ |
|
"epoch": 1.42548596112311, |
|
"grad_norm": 0.001822186284698546, |
|
"learning_rate": 8.141676086873572e-06, |
|
"loss": 0.0004, |
|
"step": 165 |
|
}, |
|
{ |
|
"epoch": 1.451403887688985, |
|
"grad_norm": 0.0019195277709513903, |
|
"learning_rate": 6.837175952121306e-06, |
|
"loss": 0.0002, |
|
"step": 168 |
|
}, |
|
{ |
|
"epoch": 1.468682505399568, |
|
"eval_loss": 0.00026034220354631543, |
|
"eval_runtime": 27.6782, |
|
"eval_samples_per_second": 7.045, |
|
"eval_steps_per_second": 0.903, |
|
"step": 170 |
|
}, |
|
{ |
|
"epoch": 1.4773218142548596, |
|
"grad_norm": 0.003331635845825076, |
|
"learning_rate": 5.6388590278194096e-06, |
|
"loss": 0.0002, |
|
"step": 171 |
|
}, |
|
{ |
|
"epoch": 1.5032397408207343, |
|
"grad_norm": 0.004186209756880999, |
|
"learning_rate": 4.549673247541875e-06, |
|
"loss": 0.0001, |
|
"step": 174 |
|
}, |
|
{ |
|
"epoch": 1.5291576673866092, |
|
"grad_norm": 0.0025692307390272617, |
|
"learning_rate": 3.5722980755146517e-06, |
|
"loss": 0.0002, |
|
"step": 177 |
|
}, |
|
{ |
|
"epoch": 1.5550755939524838, |
|
"grad_norm": 0.020796336233615875, |
|
"learning_rate": 2.7091379149682685e-06, |
|
"loss": 0.0005, |
|
"step": 180 |
|
}, |
|
{ |
|
"epoch": 1.5809935205183585, |
|
"grad_norm": 0.002934974618256092, |
|
"learning_rate": 1.962316193157593e-06, |
|
"loss": 0.0002, |
|
"step": 183 |
|
}, |
|
{ |
|
"epoch": 1.6069114470842334, |
|
"grad_norm": 0.0028173394966870546, |
|
"learning_rate": 1.333670137599713e-06, |
|
"loss": 0.0003, |
|
"step": 186 |
|
}, |
|
{ |
|
"epoch": 1.6155507559395248, |
|
"eval_loss": 0.0002737921313382685, |
|
"eval_runtime": 27.6746, |
|
"eval_samples_per_second": 7.046, |
|
"eval_steps_per_second": 0.903, |
|
"step": 187 |
|
}, |
|
{ |
|
"epoch": 1.6328293736501078, |
|
"grad_norm": 0.013227006420493126, |
|
"learning_rate": 8.247462563808817e-07, |
|
"loss": 0.0002, |
|
"step": 189 |
|
}, |
|
{ |
|
"epoch": 1.6587473002159827, |
|
"grad_norm": 0.000987304258160293, |
|
"learning_rate": 4.367965336512403e-07, |
|
"loss": 0.0003, |
|
"step": 192 |
|
}, |
|
{ |
|
"epoch": 1.6846652267818576, |
|
"grad_norm": 0.0019625353161245584, |
|
"learning_rate": 1.7077534966650766e-07, |
|
"loss": 0.0002, |
|
"step": 195 |
|
}, |
|
{ |
|
"epoch": 1.710583153347732, |
|
"grad_norm": 0.003295398550108075, |
|
"learning_rate": 2.7337132953697554e-08, |
|
"loss": 0.0002, |
|
"step": 198 |
|
} |
|
], |
|
"logging_steps": 3, |
|
"max_steps": 200, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 2, |
|
"save_steps": 17, |
|
"stateful_callbacks": { |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": true |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 5.837725562516275e+17, |
|
"train_batch_size": 8, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|