{ "best_global_step": null, "best_metric": null, "best_model_checkpoint": null, "epoch": 5.266666666666667, "eval_steps": 500, "global_step": 200, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "entropy": 1.9170070752501487, "epoch": 0.26666666666666666, "grad_norm": 1.9796658754348755, "learning_rate": 0.000191, "loss": 2.268546485900879, "mean_token_accuracy": 0.5808952182531357, "num_tokens": 11182.0, "step": 10 }, { "entropy": 1.3337449461221695, "epoch": 0.5333333333333333, "grad_norm": 1.9896641969680786, "learning_rate": 0.000181, "loss": 1.388010311126709, "mean_token_accuracy": 0.6908908531069755, "num_tokens": 21589.0, "step": 20 }, { "entropy": 1.2183324739336967, "epoch": 0.8, "grad_norm": 1.8034083843231201, "learning_rate": 0.000171, "loss": 1.2181035995483398, "mean_token_accuracy": 0.7146093145012855, "num_tokens": 32314.0, "step": 30 }, { "entropy": 1.1750043160036991, "epoch": 1.0533333333333332, "grad_norm": 1.5433615446090698, "learning_rate": 0.000161, "loss": 1.1678118705749512, "mean_token_accuracy": 0.7168187938238445, "num_tokens": 42388.0, "step": 40 }, { "entropy": 0.9561146259307861, "epoch": 1.32, "grad_norm": 2.1281228065490723, "learning_rate": 0.000151, "loss": 0.9908771514892578, "mean_token_accuracy": 0.7572208195924759, "num_tokens": 53083.0, "step": 50 }, { "entropy": 0.9963583812117577, "epoch": 1.5866666666666667, "grad_norm": 1.630143165588379, "learning_rate": 0.000141, "loss": 0.9744733810424805, "mean_token_accuracy": 0.7554196074604989, "num_tokens": 63731.0, "step": 60 }, { "entropy": 0.9944265052676201, "epoch": 1.8533333333333335, "grad_norm": 1.654884934425354, "learning_rate": 0.000131, "loss": 0.9664114952087403, "mean_token_accuracy": 0.7561696007847786, "num_tokens": 74699.0, "step": 70 }, { "entropy": 0.9411817443998236, "epoch": 2.1066666666666665, "grad_norm": 1.7052056789398193, "learning_rate": 0.000121, "loss": 0.9031502723693847, "mean_token_accuracy": 0.762868975338183, "num_tokens": 84644.0, "step": 80 }, { "entropy": 0.8191767290234566, "epoch": 2.3733333333333335, "grad_norm": 2.0393669605255127, "learning_rate": 0.00011100000000000001, "loss": 0.7797015190124512, "mean_token_accuracy": 0.791885232925415, "num_tokens": 95002.0, "step": 90 }, { "entropy": 0.8056554242968559, "epoch": 2.64, "grad_norm": 2.1560182571411133, "learning_rate": 0.000101, "loss": 0.8135014533996582, "mean_token_accuracy": 0.7863634616136551, "num_tokens": 105756.0, "step": 100 }, { "entropy": 0.8081967368721962, "epoch": 2.9066666666666667, "grad_norm": 1.7059458494186401, "learning_rate": 9.1e-05, "loss": 0.7536397457122803, "mean_token_accuracy": 0.7966530859470368, "num_tokens": 116898.0, "step": 110 }, { "entropy": 0.7223009796519029, "epoch": 3.16, "grad_norm": 1.9718010425567627, "learning_rate": 8.1e-05, "loss": 0.673548412322998, "mean_token_accuracy": 0.8069309937326532, "num_tokens": 127115.0, "step": 120 }, { "entropy": 0.6732238903641701, "epoch": 3.4266666666666667, "grad_norm": 2.1912002563476562, "learning_rate": 7.1e-05, "loss": 0.6623841762542725, "mean_token_accuracy": 0.8132106065750122, "num_tokens": 137496.0, "step": 130 }, { "entropy": 0.6554848097264767, "epoch": 3.6933333333333334, "grad_norm": 2.294579267501831, "learning_rate": 6.1e-05, "loss": 0.6600570678710938, "mean_token_accuracy": 0.8172469675540924, "num_tokens": 148536.0, "step": 140 }, { "entropy": 0.6367053695023059, "epoch": 3.96, "grad_norm": 1.9122933149337769, "learning_rate": 5.1000000000000006e-05, "loss": 0.599355936050415, "mean_token_accuracy": 0.835531035065651, "num_tokens": 159666.0, "step": 150 }, { "entropy": 0.6491185544352782, "epoch": 4.213333333333333, "grad_norm": 2.146390914916992, "learning_rate": 4.1e-05, "loss": 0.5909181118011475, "mean_token_accuracy": 0.8315925158952412, "num_tokens": 169076.0, "step": 160 }, { "entropy": 0.600107691437006, "epoch": 4.48, "grad_norm": 2.5462963581085205, "learning_rate": 3.1e-05, "loss": 0.575223731994629, "mean_token_accuracy": 0.8364185154438019, "num_tokens": 179847.0, "step": 170 }, { "entropy": 0.5227418705821038, "epoch": 4.746666666666667, "grad_norm": 1.9321998357772827, "learning_rate": 2.1e-05, "loss": 0.49827256202697756, "mean_token_accuracy": 0.8532083705067635, "num_tokens": 190908.0, "step": 180 }, { "entropy": 0.5639589726924896, "epoch": 5.0, "grad_norm": 3.5353951454162598, "learning_rate": 1.1000000000000001e-05, "loss": 0.5473646640777587, "mean_token_accuracy": 0.8418466150760651, "num_tokens": 201280.0, "step": 190 }, { "entropy": 0.5659432150423527, "epoch": 5.266666666666667, "grad_norm": 2.2689785957336426, "learning_rate": 1.0000000000000002e-06, "loss": 0.5021356582641602, "mean_token_accuracy": 0.8571663558483124, "num_tokens": 211738.0, "step": 200 } ], "logging_steps": 10, "max_steps": 200, "num_input_tokens_seen": 0, "num_train_epochs": 6, "save_steps": 500, "stateful_callbacks": { "TrainerControl": { "args": { "should_epoch_stop": false, "should_evaluate": false, "should_log": false, "should_save": true, "should_training_stop": true }, "attributes": {} } }, "total_flos": 6222709689741312.0, "train_batch_size": 1, "trial_name": null, "trial_params": null }