| { | |
| "best_metric": 2.080679416656494, | |
| "best_model_checkpoint": "experiments/checkpoint-30", | |
| "epoch": 7.529411764705882, | |
| "global_step": 100, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.75, | |
| "learning_rate": 0.0003, | |
| "loss": 3.069, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.75, | |
| "eval_loss": 2.506248712539673, | |
| "eval_runtime": 36.514, | |
| "eval_samples_per_second": 5.477, | |
| "eval_steps_per_second": 0.685, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 1.51, | |
| "learning_rate": 0.0002666666666666666, | |
| "loss": 2.2982, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 1.51, | |
| "eval_loss": 2.081218957901001, | |
| "eval_runtime": 36.5059, | |
| "eval_samples_per_second": 5.479, | |
| "eval_steps_per_second": 0.685, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 2.26, | |
| "learning_rate": 0.0002333333333333333, | |
| "loss": 2.1043, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 2.26, | |
| "eval_loss": 2.080679416656494, | |
| "eval_runtime": 36.4738, | |
| "eval_samples_per_second": 5.483, | |
| "eval_steps_per_second": 0.685, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 3.01, | |
| "learning_rate": 0.00019999999999999998, | |
| "loss": 2.1125, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 3.01, | |
| "eval_loss": 2.0814473628997803, | |
| "eval_runtime": 36.4244, | |
| "eval_samples_per_second": 5.491, | |
| "eval_steps_per_second": 0.686, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 3.76, | |
| "learning_rate": 0.00016666666666666666, | |
| "loss": 2.1094, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 3.76, | |
| "eval_loss": 2.081106662750244, | |
| "eval_runtime": 36.5033, | |
| "eval_samples_per_second": 5.479, | |
| "eval_steps_per_second": 0.685, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 4.52, | |
| "learning_rate": 0.0001333333333333333, | |
| "loss": 2.1128, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 4.52, | |
| "eval_loss": 2.0811569690704346, | |
| "eval_runtime": 36.4577, | |
| "eval_samples_per_second": 5.486, | |
| "eval_steps_per_second": 0.686, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 5.27, | |
| "learning_rate": 9.999999999999999e-05, | |
| "loss": 2.1102, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 5.27, | |
| "eval_loss": 2.0808606147766113, | |
| "eval_runtime": 36.4061, | |
| "eval_samples_per_second": 5.494, | |
| "eval_steps_per_second": 0.687, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 6.02, | |
| "learning_rate": 6.666666666666666e-05, | |
| "loss": 2.1057, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 6.02, | |
| "eval_loss": 2.081094741821289, | |
| "eval_runtime": 36.535, | |
| "eval_samples_per_second": 5.474, | |
| "eval_steps_per_second": 0.684, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 6.78, | |
| "learning_rate": 3.333333333333333e-05, | |
| "loss": 2.1069, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 6.78, | |
| "eval_loss": 2.0808064937591553, | |
| "eval_runtime": 36.4018, | |
| "eval_samples_per_second": 5.494, | |
| "eval_steps_per_second": 0.687, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 7.53, | |
| "learning_rate": 0.0, | |
| "loss": 2.1147, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 7.53, | |
| "eval_loss": 2.0808823108673096, | |
| "eval_runtime": 36.4455, | |
| "eval_samples_per_second": 5.488, | |
| "eval_steps_per_second": 0.686, | |
| "step": 100 | |
| } | |
| ], | |
| "max_steps": 100, | |
| "num_train_epochs": 8, | |
| "total_flos": 6.900128905592832e+16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |