{ "best_global_step": 100, "best_metric": 0.268216073513031, "best_model_checkpoint": "/content/models/gemma_qlora_lmh/checkpoint-100", "epoch": 1.9607843137254903, "eval_steps": 20, "global_step": 100, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "entropy": 2.652500593662262, "epoch": 0.39215686274509803, "grad_norm": 28.916894912719727, "learning_rate": 8.137254901960784e-06, "loss": 0.68, "mean_token_accuracy": 0.71015625, "num_tokens": 48092.0, "step": 20 }, { "epoch": 0.39215686274509803, "eval_entropy": 2.5002221510960507, "eval_loss": 0.31822389364242554, "eval_mean_token_accuracy": 0.8417832163664011, "eval_num_tokens": 48092.0, "eval_runtime": 2.4841, "eval_samples_per_second": 81.719, "eval_steps_per_second": 5.233, "step": 20 }, { "entropy": 2.523895502090454, "epoch": 0.7843137254901961, "grad_norm": 2.8356525897979736, "learning_rate": 6.176470588235295e-06, "loss": 0.3528, "mean_token_accuracy": 0.79765625, "num_tokens": 98284.0, "step": 40 }, { "epoch": 0.7843137254901961, "eval_entropy": 2.480310696821946, "eval_loss": 0.3085189759731293, "eval_mean_token_accuracy": 0.831075173157912, "eval_num_tokens": 98284.0, "eval_runtime": 2.4982, "eval_samples_per_second": 81.258, "eval_steps_per_second": 5.204, "step": 40 }, { "entropy": 2.519091600179672, "epoch": 1.1764705882352942, "grad_norm": 8.396736145019531, "learning_rate": 4.215686274509805e-06, "loss": 0.2831, "mean_token_accuracy": 0.8506696432828903, "num_tokens": 147466.0, "step": 60 }, { "epoch": 1.1764705882352942, "eval_entropy": 2.4424293774824877, "eval_loss": 0.2718758285045624, "eval_mean_token_accuracy": 0.8610139855971704, "eval_num_tokens": 147466.0, "eval_runtime": 2.5004, "eval_samples_per_second": 81.187, "eval_steps_per_second": 5.199, "step": 60 }, { "entropy": 2.479978394508362, "epoch": 1.5686274509803921, "grad_norm": 9.535552978515625, "learning_rate": 2.254901960784314e-06, "loss": 0.2497, "mean_token_accuracy": 0.8796875, "num_tokens": 197917.0, "step": 80 }, { "epoch": 1.5686274509803921, "eval_entropy": 2.43264233149015, "eval_loss": 0.2887224853038788, "eval_mean_token_accuracy": 0.8634178317510165, "eval_num_tokens": 197917.0, "eval_runtime": 2.5098, "eval_samples_per_second": 80.883, "eval_steps_per_second": 5.18, "step": 80 }, { "entropy": 2.4772088170051574, "epoch": 1.9607843137254903, "grad_norm": 3.218280076980591, "learning_rate": 2.9411764705882356e-07, "loss": 0.2359, "mean_token_accuracy": 0.89140625, "num_tokens": 247245.0, "step": 100 }, { "epoch": 1.9607843137254903, "eval_entropy": 2.4411074198209324, "eval_loss": 0.268216073513031, "eval_mean_token_accuracy": 0.8658216779048626, "eval_num_tokens": 247245.0, "eval_runtime": 2.5076, "eval_samples_per_second": 80.953, "eval_steps_per_second": 5.184, "step": 100 } ], "logging_steps": 20, "max_steps": 102, "num_input_tokens_seen": 0, "num_train_epochs": 2, "save_steps": 20, "stateful_callbacks": { "TrainerControl": { "args": { "should_epoch_stop": false, "should_evaluate": false, "should_log": false, "should_save": true, "should_training_stop": false }, "attributes": {} } }, "total_flos": 6148418735678976.0, "train_batch_size": 16, "trial_name": null, "trial_params": null }