| { |
| "best_metric": null, |
| "best_model_checkpoint": null, |
| "epoch": 2.0, |
| "global_step": 13088, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 0.08, |
| "learning_rate": 2.88539119804401e-05, |
| "loss": 2.3229, |
| "step": 500 |
| }, |
| { |
| "epoch": 0.15, |
| "learning_rate": 2.7707823960880195e-05, |
| "loss": 1.7926, |
| "step": 1000 |
| }, |
| { |
| "epoch": 0.23, |
| "learning_rate": 2.6561735941320294e-05, |
| "loss": 1.6682, |
| "step": 1500 |
| }, |
| { |
| "epoch": 0.31, |
| "learning_rate": 2.5415647921760392e-05, |
| "loss": 1.6135, |
| "step": 2000 |
| }, |
| { |
| "epoch": 0.38, |
| "learning_rate": 2.4269559902200488e-05, |
| "loss": 1.5343, |
| "step": 2500 |
| }, |
| { |
| "epoch": 0.46, |
| "learning_rate": 2.3123471882640587e-05, |
| "loss": 1.4642, |
| "step": 3000 |
| }, |
| { |
| "epoch": 0.53, |
| "learning_rate": 2.1977383863080685e-05, |
| "loss": 1.423, |
| "step": 3500 |
| }, |
| { |
| "epoch": 0.61, |
| "learning_rate": 2.083129584352078e-05, |
| "loss": 1.41, |
| "step": 4000 |
| }, |
| { |
| "epoch": 0.69, |
| "learning_rate": 1.9685207823960883e-05, |
| "loss": 1.3659, |
| "step": 4500 |
| }, |
| { |
| "epoch": 0.76, |
| "learning_rate": 1.8539119804400978e-05, |
| "loss": 1.3153, |
| "step": 5000 |
| }, |
| { |
| "epoch": 0.84, |
| "learning_rate": 1.7393031784841077e-05, |
| "loss": 1.2976, |
| "step": 5500 |
| }, |
| { |
| "epoch": 0.92, |
| "learning_rate": 1.6246943765281176e-05, |
| "loss": 1.2462, |
| "step": 6000 |
| }, |
| { |
| "epoch": 0.99, |
| "learning_rate": 1.5100855745721271e-05, |
| "loss": 1.2594, |
| "step": 6500 |
| }, |
| { |
| "epoch": 1.07, |
| "learning_rate": 1.395476772616137e-05, |
| "loss": 1.0087, |
| "step": 7000 |
| }, |
| { |
| "epoch": 1.15, |
| "learning_rate": 1.2808679706601467e-05, |
| "loss": 1.0272, |
| "step": 7500 |
| }, |
| { |
| "epoch": 1.22, |
| "learning_rate": 1.1662591687041566e-05, |
| "loss": 1.0037, |
| "step": 8000 |
| }, |
| { |
| "epoch": 1.3, |
| "learning_rate": 1.0516503667481663e-05, |
| "loss": 0.968, |
| "step": 8500 |
| }, |
| { |
| "epoch": 1.38, |
| "learning_rate": 9.37041564792176e-06, |
| "loss": 0.9763, |
| "step": 9000 |
| }, |
| { |
| "epoch": 1.45, |
| "learning_rate": 8.224327628361858e-06, |
| "loss": 0.9705, |
| "step": 9500 |
| }, |
| { |
| "epoch": 1.53, |
| "learning_rate": 7.078239608801956e-06, |
| "loss": 0.9548, |
| "step": 10000 |
| }, |
| { |
| "epoch": 1.6, |
| "learning_rate": 5.932151589242053e-06, |
| "loss": 0.955, |
| "step": 10500 |
| }, |
| { |
| "epoch": 1.68, |
| "learning_rate": 4.786063569682151e-06, |
| "loss": 0.932, |
| "step": 11000 |
| }, |
| { |
| "epoch": 1.76, |
| "learning_rate": 3.6399755501222492e-06, |
| "loss": 0.9331, |
| "step": 11500 |
| }, |
| { |
| "epoch": 1.83, |
| "learning_rate": 2.493887530562347e-06, |
| "loss": 0.9126, |
| "step": 12000 |
| }, |
| { |
| "epoch": 1.91, |
| "learning_rate": 1.347799511002445e-06, |
| "loss": 0.909, |
| "step": 12500 |
| }, |
| { |
| "epoch": 1.99, |
| "learning_rate": 2.0171149144254277e-07, |
| "loss": 0.89, |
| "step": 13000 |
| }, |
| { |
| "epoch": 2.0, |
| "step": 13088, |
| "total_flos": 2.5921698247213056e+16, |
| "train_loss": 1.2332238556411854, |
| "train_runtime": 1237.3872, |
| "train_samples_per_second": 211.523, |
| "train_steps_per_second": 10.577 |
| } |
| ], |
| "max_steps": 13088, |
| "num_train_epochs": 2, |
| "total_flos": 2.5921698247213056e+16, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|