| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 7.6923076923076925, | |
| "eval_steps": 100, | |
| "global_step": 500, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.15, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6472, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.31, | |
| "learning_rate": 0.0002, | |
| "loss": 0.3259, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.46, | |
| "learning_rate": 0.0002, | |
| "loss": 0.224, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.62, | |
| "learning_rate": 0.0002, | |
| "loss": 0.1295, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.77, | |
| "learning_rate": 0.0002, | |
| "loss": 0.046, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.92, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0327, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 1.08, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0207, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 1.23, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0176, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 1.38, | |
| "learning_rate": 0.0002, | |
| "loss": 0.015, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 1.54, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0139, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 1.54, | |
| "eval_loss": 0.01566016674041748, | |
| "eval_runtime": 4.9917, | |
| "eval_samples_per_second": 13.022, | |
| "eval_steps_per_second": 1.803, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 1.69, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0117, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 1.85, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0112, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0105, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 2.15, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0097, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 2.31, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0104, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 2.46, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0118, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 2.62, | |
| "learning_rate": 0.0002, | |
| "loss": 0.01, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 2.77, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0091, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 2.92, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0072, | |
| "step": 190 | |
| }, | |
| { | |
| "epoch": 3.08, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0079, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 3.08, | |
| "eval_loss": 0.012308033183217049, | |
| "eval_runtime": 4.9748, | |
| "eval_samples_per_second": 13.066, | |
| "eval_steps_per_second": 1.809, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 3.23, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0077, | |
| "step": 210 | |
| }, | |
| { | |
| "epoch": 3.38, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0081, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 3.54, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0072, | |
| "step": 230 | |
| }, | |
| { | |
| "epoch": 3.69, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0073, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 3.85, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0068, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "learning_rate": 0.0002, | |
| "loss": 0.007, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 4.15, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0057, | |
| "step": 270 | |
| }, | |
| { | |
| "epoch": 4.31, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0072, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 4.46, | |
| "learning_rate": 0.0002, | |
| "loss": 0.006, | |
| "step": 290 | |
| }, | |
| { | |
| "epoch": 4.62, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0062, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 4.62, | |
| "eval_loss": 0.011374865658581257, | |
| "eval_runtime": 4.9747, | |
| "eval_samples_per_second": 13.066, | |
| "eval_steps_per_second": 1.809, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 4.77, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0063, | |
| "step": 310 | |
| }, | |
| { | |
| "epoch": 4.92, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0067, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 5.08, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0052, | |
| "step": 330 | |
| }, | |
| { | |
| "epoch": 5.23, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0069, | |
| "step": 340 | |
| }, | |
| { | |
| "epoch": 5.38, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0054, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 5.54, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0061, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 5.69, | |
| "learning_rate": 0.0002, | |
| "loss": 0.006, | |
| "step": 370 | |
| }, | |
| { | |
| "epoch": 5.85, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0061, | |
| "step": 380 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0064, | |
| "step": 390 | |
| }, | |
| { | |
| "epoch": 6.15, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0047, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 6.15, | |
| "eval_loss": 0.009761717170476913, | |
| "eval_runtime": 4.974, | |
| "eval_samples_per_second": 13.068, | |
| "eval_steps_per_second": 1.809, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 6.31, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0051, | |
| "step": 410 | |
| }, | |
| { | |
| "epoch": 6.46, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0053, | |
| "step": 420 | |
| }, | |
| { | |
| "epoch": 6.62, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0051, | |
| "step": 430 | |
| }, | |
| { | |
| "epoch": 6.77, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0052, | |
| "step": 440 | |
| }, | |
| { | |
| "epoch": 6.92, | |
| "learning_rate": 0.0002, | |
| "loss": 0.005, | |
| "step": 450 | |
| }, | |
| { | |
| "epoch": 7.08, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0052, | |
| "step": 460 | |
| }, | |
| { | |
| "epoch": 7.23, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0042, | |
| "step": 470 | |
| }, | |
| { | |
| "epoch": 7.38, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0051, | |
| "step": 480 | |
| }, | |
| { | |
| "epoch": 7.54, | |
| "learning_rate": 0.0002, | |
| "loss": 0.005, | |
| "step": 490 | |
| }, | |
| { | |
| "epoch": 7.69, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0049, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 7.69, | |
| "eval_loss": 0.01100065279752016, | |
| "eval_runtime": 4.9709, | |
| "eval_samples_per_second": 13.076, | |
| "eval_steps_per_second": 1.811, | |
| "step": 500 | |
| } | |
| ], | |
| "logging_steps": 10, | |
| "max_steps": 500, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 8, | |
| "save_steps": 500, | |
| "total_flos": 8.7710798708736e+16, | |
| "train_batch_size": 1, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |