| { | |
| "best_global_step": null, | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 2.0, | |
| "eval_steps": 500, | |
| "global_step": 186, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "entropy": 0.7306758515536785, | |
| "epoch": 0.21621621621621623, | |
| "grad_norm": 3.109375, | |
| "learning_rate": 5e-06, | |
| "loss": 0.9965, | |
| "mean_token_accuracy": 0.779215482622385, | |
| "num_tokens": 6826187.0, | |
| "step": 20 | |
| }, | |
| { | |
| "entropy": 0.5489349599927664, | |
| "epoch": 0.43243243243243246, | |
| "grad_norm": 0.58203125, | |
| "learning_rate": 9.998873580873848e-06, | |
| "loss": 0.5535, | |
| "mean_token_accuracy": 0.8538637027144432, | |
| "num_tokens": 13653383.0, | |
| "step": 40 | |
| }, | |
| { | |
| "entropy": 0.3483663786202669, | |
| "epoch": 0.6486486486486487, | |
| "grad_norm": 0.33984375, | |
| "learning_rate": 9.511402217292927e-06, | |
| "loss": 0.351, | |
| "mean_token_accuracy": 0.8950387261807918, | |
| "num_tokens": 20485861.0, | |
| "step": 60 | |
| }, | |
| { | |
| "entropy": 0.32447177954018114, | |
| "epoch": 0.8648648648648649, | |
| "grad_norm": 0.3125, | |
| "learning_rate": 8.222962883121196e-06, | |
| "loss": 0.3235, | |
| "mean_token_accuracy": 0.90108412951231, | |
| "num_tokens": 27314991.0, | |
| "step": 80 | |
| }, | |
| { | |
| "entropy": 0.3140074060513423, | |
| "epoch": 1.0756756756756758, | |
| "grad_norm": 0.3203125, | |
| "learning_rate": 6.3623089878341146e-06, | |
| "loss": 0.3125, | |
| "mean_token_accuracy": 0.9037734896708758, | |
| "num_tokens": 33973895.0, | |
| "step": 100 | |
| }, | |
| { | |
| "entropy": 0.3088852509856224, | |
| "epoch": 1.291891891891892, | |
| "grad_norm": 0.30078125, | |
| "learning_rate": 4.259786641731344e-06, | |
| "loss": 0.3071, | |
| "mean_token_accuracy": 0.9051578566431999, | |
| "num_tokens": 40804802.0, | |
| "step": 120 | |
| }, | |
| { | |
| "entropy": 0.30427912399172785, | |
| "epoch": 1.5081081081081082, | |
| "grad_norm": 0.298828125, | |
| "learning_rate": 2.288684010125325e-06, | |
| "loss": 0.3034, | |
| "mean_token_accuracy": 0.9061512276530266, | |
| "num_tokens": 47638527.0, | |
| "step": 140 | |
| }, | |
| { | |
| "entropy": 0.3052296478301287, | |
| "epoch": 1.7243243243243245, | |
| "grad_norm": 0.310546875, | |
| "learning_rate": 7.989566054312286e-07, | |
| "loss": 0.3036, | |
| "mean_token_accuracy": 0.9059888675808907, | |
| "num_tokens": 54467102.0, | |
| "step": 160 | |
| }, | |
| { | |
| "entropy": 0.3061117686331272, | |
| "epoch": 1.9405405405405407, | |
| "grad_norm": 0.298828125, | |
| "learning_rate": 5.509512889877333e-08, | |
| "loss": 0.3049, | |
| "mean_token_accuracy": 0.9056108377873897, | |
| "num_tokens": 61294894.0, | |
| "step": 180 | |
| }, | |
| { | |
| "entropy": 0.3062901334329085, | |
| "epoch": 2.0, | |
| "mean_token_accuracy": 0.9058145718141035, | |
| "num_tokens": 63165740.0, | |
| "step": 186, | |
| "total_flos": 1.38382400484488e+18, | |
| "train_loss": 0.41364410038917293, | |
| "train_runtime": 6390.138, | |
| "train_samples_per_second": 9.726, | |
| "train_steps_per_second": 0.029 | |
| } | |
| ], | |
| "logging_steps": 20, | |
| "max_steps": 186, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 2, | |
| "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": 1.38382400484488e+18, | |
| "train_batch_size": 84, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |