| { |
| "best_metric": null, |
| "best_model_checkpoint": null, |
| "epoch": 39.02439024390244, |
| "global_step": 1600, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 2.44, |
| "learning_rate": 3.7600000000000004e-06, |
| "loss": 3.0404, |
| "step": 100 |
| }, |
| { |
| "epoch": 2.44, |
| "eval_loss": 2.7579736709594727, |
| "eval_runtime": 4.5474, |
| "eval_samples_per_second": 4.618, |
| "eval_steps_per_second": 0.66, |
| "step": 100 |
| }, |
| { |
| "epoch": 4.88, |
| "learning_rate": 7.76e-06, |
| "loss": 2.3488, |
| "step": 200 |
| }, |
| { |
| "epoch": 4.88, |
| "eval_loss": 2.4349780082702637, |
| "eval_runtime": 4.0455, |
| "eval_samples_per_second": 5.191, |
| "eval_steps_per_second": 0.742, |
| "step": 200 |
| }, |
| { |
| "epoch": 7.32, |
| "learning_rate": 1.172e-05, |
| "loss": 1.9928, |
| "step": 300 |
| }, |
| { |
| "epoch": 7.32, |
| "eval_loss": 2.113464832305908, |
| "eval_runtime": 4.0677, |
| "eval_samples_per_second": 5.163, |
| "eval_steps_per_second": 0.738, |
| "step": 300 |
| }, |
| { |
| "epoch": 9.76, |
| "learning_rate": 1.5720000000000002e-05, |
| "loss": 1.7819, |
| "step": 400 |
| }, |
| { |
| "epoch": 9.76, |
| "eval_loss": 1.968690276145935, |
| "eval_runtime": 4.0436, |
| "eval_samples_per_second": 5.193, |
| "eval_steps_per_second": 0.742, |
| "step": 400 |
| }, |
| { |
| "epoch": 12.2, |
| "learning_rate": 1.972e-05, |
| "loss": 1.5877, |
| "step": 500 |
| }, |
| { |
| "epoch": 12.2, |
| "eval_loss": 1.7520062923431396, |
| "eval_runtime": 4.029, |
| "eval_samples_per_second": 5.212, |
| "eval_steps_per_second": 0.745, |
| "step": 500 |
| }, |
| { |
| "epoch": 14.63, |
| "learning_rate": 1.836842105263158e-05, |
| "loss": 1.4275, |
| "step": 600 |
| }, |
| { |
| "epoch": 14.63, |
| "eval_loss": 1.7901742458343506, |
| "eval_runtime": 4.0456, |
| "eval_samples_per_second": 5.191, |
| "eval_steps_per_second": 0.742, |
| "step": 600 |
| }, |
| { |
| "epoch": 17.07, |
| "learning_rate": 1.66140350877193e-05, |
| "loss": 1.1999, |
| "step": 700 |
| }, |
| { |
| "epoch": 17.07, |
| "eval_loss": 1.8930068016052246, |
| "eval_runtime": 4.0412, |
| "eval_samples_per_second": 5.196, |
| "eval_steps_per_second": 0.742, |
| "step": 700 |
| }, |
| { |
| "epoch": 19.51, |
| "learning_rate": 1.4859649122807018e-05, |
| "loss": 1.2049, |
| "step": 800 |
| }, |
| { |
| "epoch": 19.51, |
| "eval_loss": 1.6747853755950928, |
| "eval_runtime": 4.0641, |
| "eval_samples_per_second": 5.167, |
| "eval_steps_per_second": 0.738, |
| "step": 800 |
| }, |
| { |
| "epoch": 21.95, |
| "learning_rate": 1.310526315789474e-05, |
| "loss": 1.0865, |
| "step": 900 |
| }, |
| { |
| "epoch": 21.95, |
| "eval_loss": 1.642054796218872, |
| "eval_runtime": 4.0327, |
| "eval_samples_per_second": 5.207, |
| "eval_steps_per_second": 0.744, |
| "step": 900 |
| }, |
| { |
| "epoch": 24.39, |
| "learning_rate": 1.136842105263158e-05, |
| "loss": 1.0559, |
| "step": 1000 |
| }, |
| { |
| "epoch": 24.39, |
| "eval_loss": 1.6494040489196777, |
| "eval_runtime": 4.1243, |
| "eval_samples_per_second": 5.092, |
| "eval_steps_per_second": 0.727, |
| "step": 1000 |
| }, |
| { |
| "epoch": 26.83, |
| "learning_rate": 9.614035087719298e-06, |
| "loss": 0.9572, |
| "step": 1100 |
| }, |
| { |
| "epoch": 26.83, |
| "eval_loss": 1.6545538902282715, |
| "eval_runtime": 4.1781, |
| "eval_samples_per_second": 5.026, |
| "eval_steps_per_second": 0.718, |
| "step": 1100 |
| }, |
| { |
| "epoch": 29.27, |
| "learning_rate": 7.859649122807018e-06, |
| "loss": 0.91, |
| "step": 1200 |
| }, |
| { |
| "epoch": 29.27, |
| "eval_loss": 1.637965440750122, |
| "eval_runtime": 4.203, |
| "eval_samples_per_second": 4.996, |
| "eval_steps_per_second": 0.714, |
| "step": 1200 |
| }, |
| { |
| "epoch": 31.71, |
| "learning_rate": 6.105263157894738e-06, |
| "loss": 0.8774, |
| "step": 1300 |
| }, |
| { |
| "epoch": 31.71, |
| "eval_loss": 1.5634162425994873, |
| "eval_runtime": 4.1567, |
| "eval_samples_per_second": 5.052, |
| "eval_steps_per_second": 0.722, |
| "step": 1300 |
| }, |
| { |
| "epoch": 34.15, |
| "learning_rate": 4.350877192982457e-06, |
| "loss": 0.8501, |
| "step": 1400 |
| }, |
| { |
| "epoch": 34.15, |
| "eval_loss": 1.613369345664978, |
| "eval_runtime": 4.1441, |
| "eval_samples_per_second": 5.067, |
| "eval_steps_per_second": 0.724, |
| "step": 1400 |
| }, |
| { |
| "epoch": 36.59, |
| "learning_rate": 2.5964912280701754e-06, |
| "loss": 0.8121, |
| "step": 1500 |
| }, |
| { |
| "epoch": 36.59, |
| "eval_loss": 1.5846848487854004, |
| "eval_runtime": 4.1418, |
| "eval_samples_per_second": 5.07, |
| "eval_steps_per_second": 0.724, |
| "step": 1500 |
| }, |
| { |
| "epoch": 39.02, |
| "learning_rate": 8.421052631578948e-07, |
| "loss": 0.8692, |
| "step": 1600 |
| }, |
| { |
| "epoch": 39.02, |
| "eval_loss": 1.591667890548706, |
| "eval_runtime": 4.1152, |
| "eval_samples_per_second": 5.103, |
| "eval_steps_per_second": 0.729, |
| "step": 1600 |
| } |
| ], |
| "max_steps": 1640, |
| "num_train_epochs": 40, |
| "total_flos": 3.8572914118754304e+18, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|