| { | |
| "best_global_step": null, | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 1.0, | |
| "eval_steps": 500, | |
| "global_step": 18, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.05555555555555555, | |
| "grad_norm": 10.875, | |
| "learning_rate": 0.0, | |
| "loss": 2.6157, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.1111111111111111, | |
| "grad_norm": 9.8125, | |
| "learning_rate": 1.6666666666666667e-05, | |
| "loss": 2.4889, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.16666666666666666, | |
| "grad_norm": 7.78125, | |
| "learning_rate": 3.3333333333333335e-05, | |
| "loss": 2.3111, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 0.2222222222222222, | |
| "grad_norm": 6.9375, | |
| "learning_rate": 5e-05, | |
| "loss": 2.1313, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 0.2777777777777778, | |
| "grad_norm": 6.3125, | |
| "learning_rate": 4.9974091841168195e-05, | |
| "loss": 2.0006, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.3333333333333333, | |
| "grad_norm": 2.828125, | |
| "learning_rate": 4.9896421063288286e-05, | |
| "loss": 1.9674, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.3888888888888889, | |
| "grad_norm": 3.296875, | |
| "learning_rate": 4.976714865090827e-05, | |
| "loss": 1.8848, | |
| "step": 7 | |
| }, | |
| { | |
| "epoch": 0.4444444444444444, | |
| "grad_norm": 2.140625, | |
| "learning_rate": 4.958654254084355e-05, | |
| "loss": 1.8648, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.5, | |
| "grad_norm": 2.21875, | |
| "learning_rate": 4.9354977066836986e-05, | |
| "loss": 1.8344, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 0.5555555555555556, | |
| "grad_norm": 2.21875, | |
| "learning_rate": 4.907293218369499e-05, | |
| "loss": 1.7973, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.6111111111111112, | |
| "grad_norm": 1.984375, | |
| "learning_rate": 4.874099247250798e-05, | |
| "loss": 1.7639, | |
| "step": 11 | |
| }, | |
| { | |
| "epoch": 0.6666666666666666, | |
| "grad_norm": 1.890625, | |
| "learning_rate": 4.835984592901678e-05, | |
| "loss": 1.7202, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 0.7222222222222222, | |
| "grad_norm": 1.953125, | |
| "learning_rate": 4.793028253763633e-05, | |
| "loss": 1.8029, | |
| "step": 13 | |
| }, | |
| { | |
| "epoch": 0.7777777777777778, | |
| "grad_norm": 2.015625, | |
| "learning_rate": 4.74531926340924e-05, | |
| "loss": 1.7007, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 0.8333333333333334, | |
| "grad_norm": 2.0, | |
| "learning_rate": 4.6929565060064864e-05, | |
| "loss": 1.7268, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 0.8888888888888888, | |
| "grad_norm": 1.9375, | |
| "learning_rate": 4.6360485113662216e-05, | |
| "loss": 1.7007, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 0.9444444444444444, | |
| "grad_norm": 1.9609375, | |
| "learning_rate": 4.574713229997563e-05, | |
| "loss": 1.679, | |
| "step": 17 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 3.4375, | |
| "learning_rate": 4.509077788637446e-05, | |
| "loss": 1.6594, | |
| "step": 18 | |
| } | |
| ], | |
| "logging_steps": 1, | |
| "max_steps": 72, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 4, | |
| "save_steps": 18, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": false | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 1.413174968451072e+16, | |
| "train_batch_size": 1, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |