| { |
| "best_metric": 0.05191322788596153, |
| "best_model_checkpoint": "./vit-base-beans/checkpoint-400", |
| "epoch": 7.142857142857143, |
| "global_step": 400, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 0.18, |
| "learning_rate": 0.00019553571428571428, |
| "loss": 1.6254, |
| "step": 10 |
| }, |
| { |
| "epoch": 0.36, |
| "learning_rate": 0.00019107142857142858, |
| "loss": 1.0629, |
| "step": 20 |
| }, |
| { |
| "epoch": 0.54, |
| "learning_rate": 0.00018660714285714287, |
| "loss": 0.7167, |
| "step": 30 |
| }, |
| { |
| "epoch": 0.71, |
| "learning_rate": 0.00018214285714285714, |
| "loss": 0.4412, |
| "step": 40 |
| }, |
| { |
| "epoch": 0.89, |
| "learning_rate": 0.00017767857142857141, |
| "loss": 0.3637, |
| "step": 50 |
| }, |
| { |
| "epoch": 1.07, |
| "learning_rate": 0.00017321428571428574, |
| "loss": 0.2357, |
| "step": 60 |
| }, |
| { |
| "epoch": 1.25, |
| "learning_rate": 0.00016875, |
| "loss": 0.1346, |
| "step": 70 |
| }, |
| { |
| "epoch": 1.43, |
| "learning_rate": 0.00016428571428571428, |
| "loss": 0.1158, |
| "step": 80 |
| }, |
| { |
| "epoch": 1.61, |
| "learning_rate": 0.00015982142857142858, |
| "loss": 0.0805, |
| "step": 90 |
| }, |
| { |
| "epoch": 1.79, |
| "learning_rate": 0.00015535714285714287, |
| "loss": 0.0835, |
| "step": 100 |
| }, |
| { |
| "epoch": 1.79, |
| "eval_accuracy": 0.967479674796748, |
| "eval_loss": 0.1520603448152542, |
| "eval_runtime": 5.265, |
| "eval_samples_per_second": 46.723, |
| "eval_steps_per_second": 5.888, |
| "step": 100 |
| }, |
| { |
| "epoch": 1.96, |
| "learning_rate": 0.00015089285714285714, |
| "loss": 0.1141, |
| "step": 110 |
| }, |
| { |
| "epoch": 2.14, |
| "learning_rate": 0.00014642857142857141, |
| "loss": 0.139, |
| "step": 120 |
| }, |
| { |
| "epoch": 2.32, |
| "learning_rate": 0.00014196428571428574, |
| "loss": 0.05, |
| "step": 130 |
| }, |
| { |
| "epoch": 2.5, |
| "learning_rate": 0.0001375, |
| "loss": 0.0443, |
| "step": 140 |
| }, |
| { |
| "epoch": 2.68, |
| "learning_rate": 0.00013303571428571428, |
| "loss": 0.0387, |
| "step": 150 |
| }, |
| { |
| "epoch": 2.86, |
| "learning_rate": 0.00012857142857142858, |
| "loss": 0.0355, |
| "step": 160 |
| }, |
| { |
| "epoch": 3.04, |
| "learning_rate": 0.00012410714285714287, |
| "loss": 0.0609, |
| "step": 170 |
| }, |
| { |
| "epoch": 3.21, |
| "learning_rate": 0.00011964285714285714, |
| "loss": 0.0308, |
| "step": 180 |
| }, |
| { |
| "epoch": 3.39, |
| "learning_rate": 0.00011517857142857143, |
| "loss": 0.0284, |
| "step": 190 |
| }, |
| { |
| "epoch": 3.57, |
| "learning_rate": 0.00011071428571428572, |
| "loss": 0.0265, |
| "step": 200 |
| }, |
| { |
| "epoch": 3.57, |
| "eval_accuracy": 0.991869918699187, |
| "eval_loss": 0.0650288462638855, |
| "eval_runtime": 4.3392, |
| "eval_samples_per_second": 56.692, |
| "eval_steps_per_second": 7.144, |
| "step": 200 |
| }, |
| { |
| "epoch": 3.75, |
| "learning_rate": 0.00010625000000000001, |
| "loss": 0.0252, |
| "step": 210 |
| }, |
| { |
| "epoch": 3.93, |
| "learning_rate": 0.00010178571428571428, |
| "loss": 0.0234, |
| "step": 220 |
| }, |
| { |
| "epoch": 4.11, |
| "learning_rate": 9.732142857142858e-05, |
| "loss": 0.0221, |
| "step": 230 |
| }, |
| { |
| "epoch": 4.29, |
| "learning_rate": 9.285714285714286e-05, |
| "loss": 0.0213, |
| "step": 240 |
| }, |
| { |
| "epoch": 4.46, |
| "learning_rate": 8.839285714285714e-05, |
| "loss": 0.0205, |
| "step": 250 |
| }, |
| { |
| "epoch": 4.64, |
| "learning_rate": 8.392857142857144e-05, |
| "loss": 0.0196, |
| "step": 260 |
| }, |
| { |
| "epoch": 4.82, |
| "learning_rate": 7.946428571428571e-05, |
| "loss": 0.0188, |
| "step": 270 |
| }, |
| { |
| "epoch": 5.0, |
| "learning_rate": 7.500000000000001e-05, |
| "loss": 0.0183, |
| "step": 280 |
| }, |
| { |
| "epoch": 5.18, |
| "learning_rate": 7.053571428571429e-05, |
| "loss": 0.0176, |
| "step": 290 |
| }, |
| { |
| "epoch": 5.36, |
| "learning_rate": 6.607142857142857e-05, |
| "loss": 0.0171, |
| "step": 300 |
| }, |
| { |
| "epoch": 5.36, |
| "eval_accuracy": 0.991869918699187, |
| "eval_loss": 0.05430033057928085, |
| "eval_runtime": 4.4865, |
| "eval_samples_per_second": 54.831, |
| "eval_steps_per_second": 6.91, |
| "step": 300 |
| }, |
| { |
| "epoch": 5.54, |
| "learning_rate": 6.160714285714286e-05, |
| "loss": 0.0165, |
| "step": 310 |
| }, |
| { |
| "epoch": 5.71, |
| "learning_rate": 5.714285714285714e-05, |
| "loss": 0.016, |
| "step": 320 |
| }, |
| { |
| "epoch": 5.89, |
| "learning_rate": 5.267857142857143e-05, |
| "loss": 0.0159, |
| "step": 330 |
| }, |
| { |
| "epoch": 6.07, |
| "learning_rate": 4.8214285714285716e-05, |
| "loss": 0.0155, |
| "step": 340 |
| }, |
| { |
| "epoch": 6.25, |
| "learning_rate": 4.375e-05, |
| "loss": 0.0151, |
| "step": 350 |
| }, |
| { |
| "epoch": 6.43, |
| "learning_rate": 3.928571428571429e-05, |
| "loss": 0.0149, |
| "step": 360 |
| }, |
| { |
| "epoch": 6.61, |
| "learning_rate": 3.4821428571428574e-05, |
| "loss": 0.0146, |
| "step": 370 |
| }, |
| { |
| "epoch": 6.79, |
| "learning_rate": 3.0357142857142857e-05, |
| "loss": 0.0144, |
| "step": 380 |
| }, |
| { |
| "epoch": 6.96, |
| "learning_rate": 2.5892857142857148e-05, |
| "loss": 0.0142, |
| "step": 390 |
| }, |
| { |
| "epoch": 7.14, |
| "learning_rate": 2.1428571428571428e-05, |
| "loss": 0.0142, |
| "step": 400 |
| }, |
| { |
| "epoch": 7.14, |
| "eval_accuracy": 0.991869918699187, |
| "eval_loss": 0.05191322788596153, |
| "eval_runtime": 4.4319, |
| "eval_samples_per_second": 55.507, |
| "eval_steps_per_second": 6.995, |
| "step": 400 |
| } |
| ], |
| "max_steps": 448, |
| "num_train_epochs": 8, |
| "total_flos": 4.894613398587064e+17, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|
