| { |
| "best_global_step": null, |
| "best_metric": null, |
| "best_model_checkpoint": null, |
| "epoch": 1.0, |
| "eval_steps": 25, |
| "global_step": 115, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 0.04381161007667032, |
| "grad_norm": 0.6445760726928711, |
| "learning_rate": 3.3333333333333335e-05, |
| "loss": 0.44997148513793944, |
| "step": 5 |
| }, |
| { |
| "epoch": 0.08762322015334063, |
| "grad_norm": 0.2040737122297287, |
| "learning_rate": 7.500000000000001e-05, |
| "loss": 0.253184175491333, |
| "step": 10 |
| }, |
| { |
| "epoch": 0.13143483023001096, |
| "grad_norm": 0.11370108276605606, |
| "learning_rate": 9.990699835799469e-05, |
| "loss": 0.1890493392944336, |
| "step": 15 |
| }, |
| { |
| "epoch": 0.17524644030668127, |
| "grad_norm": 0.0560263991355896, |
| "learning_rate": 9.886469909625625e-05, |
| "loss": 0.16157859563827515, |
| "step": 20 |
| }, |
| { |
| "epoch": 0.21905805038335158, |
| "grad_norm": 0.05086812004446983, |
| "learning_rate": 9.668812408047679e-05, |
| "loss": 0.14776169061660765, |
| "step": 25 |
| }, |
| { |
| "epoch": 0.21905805038335158, |
| "eval_loss": 0.15636882185935974, |
| "eval_runtime": 2.7445, |
| "eval_samples_per_second": 13.481, |
| "eval_steps_per_second": 3.644, |
| "step": 25 |
| }, |
| { |
| "epoch": 0.2628696604600219, |
| "grad_norm": 0.4398188889026642, |
| "learning_rate": 9.342779723309745e-05, |
| "loss": 0.13989536762237548, |
| "step": 30 |
| }, |
| { |
| "epoch": 0.3066812705366922, |
| "grad_norm": 0.03143283724784851, |
| "learning_rate": 8.915939915302968e-05, |
| "loss": 0.13840868473052978, |
| "step": 35 |
| }, |
| { |
| "epoch": 0.35049288061336253, |
| "grad_norm": 0.030261408537626266, |
| "learning_rate": 8.398201037367201e-05, |
| "loss": 0.13194940090179444, |
| "step": 40 |
| }, |
| { |
| "epoch": 0.39430449069003287, |
| "grad_norm": 0.027745651081204414, |
| "learning_rate": 7.801581144806752e-05, |
| "loss": 0.1258658289909363, |
| "step": 45 |
| }, |
| { |
| "epoch": 0.43811610076670315, |
| "grad_norm": 0.028578005731105804, |
| "learning_rate": 7.139929324815965e-05, |
| "loss": 0.1307690382003784, |
| "step": 50 |
| }, |
| { |
| "epoch": 0.43811610076670315, |
| "eval_loss": 0.13964250683784485, |
| "eval_runtime": 2.7343, |
| "eval_samples_per_second": 13.532, |
| "eval_steps_per_second": 3.657, |
| "step": 50 |
| }, |
| { |
| "epoch": 0.4819277108433735, |
| "grad_norm": 0.02204604260623455, |
| "learning_rate": 6.42860422342998e-05, |
| "loss": 0.11970643997192383, |
| "step": 55 |
| }, |
| { |
| "epoch": 0.5257393209200438, |
| "grad_norm": 0.01909324899315834, |
| "learning_rate": 5.6841175317195515e-05, |
| "loss": 0.12441145181655884, |
| "step": 60 |
| }, |
| { |
| "epoch": 0.5695509309967142, |
| "grad_norm": 0.02801951766014099, |
| "learning_rate": 4.923750706835371e-05, |
| "loss": 0.11856402158737182, |
| "step": 65 |
| }, |
| { |
| "epoch": 0.6133625410733844, |
| "grad_norm": 0.02440124936401844, |
| "learning_rate": 4.16515382479539e-05, |
| "loss": 0.12577390670776367, |
| "step": 70 |
| }, |
| { |
| "epoch": 0.6571741511500547, |
| "grad_norm": 0.03482368588447571, |
| "learning_rate": 3.4259358766770766e-05, |
| "loss": 0.12301583290100097, |
| "step": 75 |
| }, |
| { |
| "epoch": 0.6571741511500547, |
| "eval_loss": 0.13510531187057495, |
| "eval_runtime": 2.7462, |
| "eval_samples_per_second": 13.473, |
| "eval_steps_per_second": 3.641, |
| "step": 75 |
| }, |
| { |
| "epoch": 0.7009857612267251, |
| "grad_norm": 0.03209087997674942, |
| "learning_rate": 2.7232560184971434e-05, |
| "loss": 0.11824085712432861, |
| "step": 80 |
| }, |
| { |
| "epoch": 0.7447973713033954, |
| "grad_norm": 0.027280066162347794, |
| "learning_rate": 2.0734252629237894e-05, |
| "loss": 0.1161639928817749, |
| "step": 85 |
| }, |
| { |
| "epoch": 0.7886089813800657, |
| "grad_norm": 0.024801179766654968, |
| "learning_rate": 1.491527858584535e-05, |
| "loss": 0.1195792555809021, |
| "step": 90 |
| }, |
| { |
| "epoch": 0.8324205914567361, |
| "grad_norm": 0.023875568062067032, |
| "learning_rate": 9.91071145732948e-06, |
| "loss": 0.11831022500991821, |
| "step": 95 |
| }, |
| { |
| "epoch": 0.8762322015334063, |
| "grad_norm": 0.02501710318028927, |
| "learning_rate": 5.83672016027697e-06, |
| "loss": 0.11868228912353515, |
| "step": 100 |
| }, |
| { |
| "epoch": 0.8762322015334063, |
| "eval_loss": 0.1338396519422531, |
| "eval_runtime": 2.7535, |
| "eval_samples_per_second": 13.437, |
| "eval_steps_per_second": 3.632, |
| "step": 100 |
| }, |
| { |
| "epoch": 0.9200438116100766, |
| "grad_norm": 0.02370544523000717, |
| "learning_rate": 2.787872545015069e-06, |
| "loss": 0.1251981019973755, |
| "step": 105 |
| }, |
| { |
| "epoch": 0.963855421686747, |
| "grad_norm": 0.01968785747885704, |
| "learning_rate": 8.349402317873789e-07, |
| "loss": 0.11879189014434814, |
| "step": 110 |
| }, |
| { |
| "epoch": 1.0, |
| "grad_norm": 0.05922802537679672, |
| "learning_rate": 2.3255818832423894e-08, |
| "loss": 0.12383102178573609, |
| "step": 115 |
| }, |
| { |
| "epoch": 1.0, |
| "eval_loss": 0.1337558627128601, |
| "eval_runtime": 2.7386, |
| "eval_samples_per_second": 13.511, |
| "eval_steps_per_second": 3.652, |
| "step": 115 |
| } |
| ], |
| "logging_steps": 5, |
| "max_steps": 115, |
| "num_input_tokens_seen": 0, |
| "num_train_epochs": 1, |
| "save_steps": 25, |
| "stateful_callbacks": { |
| "TrainerControl": { |
| "args": { |
| "should_epoch_stop": false, |
| "should_evaluate": false, |
| "should_log": false, |
| "should_save": true, |
| "should_training_stop": true |
| }, |
| "attributes": {} |
| } |
| }, |
| "total_flos": 8.099298143947981e+18, |
| "train_batch_size": 1, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|
