| { | |
| "best_metric": 0.8333333333333334, | |
| "best_model_checkpoint": "vit-base-patch16-224-RU4-10\\checkpoint-115", | |
| "epoch": 9.87012987012987, | |
| "eval_steps": 500, | |
| "global_step": 190, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.52, | |
| "learning_rate": 5.5e-05, | |
| "loss": 1.37, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.99, | |
| "eval_accuracy": 0.6166666666666667, | |
| "eval_loss": 1.1940264701843262, | |
| "eval_runtime": 1.217, | |
| "eval_samples_per_second": 49.302, | |
| "eval_steps_per_second": 1.643, | |
| "step": 19 | |
| }, | |
| { | |
| "epoch": 1.04, | |
| "learning_rate": 5.1944444444444446e-05, | |
| "loss": 1.2407, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 1.56, | |
| "learning_rate": 4.888888888888889e-05, | |
| "loss": 1.1393, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 1.97, | |
| "eval_accuracy": 0.7, | |
| "eval_loss": 0.9230659604072571, | |
| "eval_runtime": 1.0004, | |
| "eval_samples_per_second": 59.978, | |
| "eval_steps_per_second": 1.999, | |
| "step": 38 | |
| }, | |
| { | |
| "epoch": 2.08, | |
| "learning_rate": 4.5833333333333334e-05, | |
| "loss": 0.9532, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 2.6, | |
| "learning_rate": 4.277777777777778e-05, | |
| "loss": 0.8115, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 2.96, | |
| "eval_accuracy": 0.7666666666666667, | |
| "eval_loss": 0.7923756837844849, | |
| "eval_runtime": 0.9942, | |
| "eval_samples_per_second": 60.348, | |
| "eval_steps_per_second": 2.012, | |
| "step": 57 | |
| }, | |
| { | |
| "epoch": 3.12, | |
| "learning_rate": 3.972222222222222e-05, | |
| "loss": 0.6693, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 3.64, | |
| "learning_rate": 3.6666666666666666e-05, | |
| "loss": 0.5507, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.75, | |
| "eval_loss": 0.6691194176673889, | |
| "eval_runtime": 1.017, | |
| "eval_samples_per_second": 59.0, | |
| "eval_steps_per_second": 1.967, | |
| "step": 77 | |
| }, | |
| { | |
| "epoch": 4.16, | |
| "learning_rate": 3.3611111111111116e-05, | |
| "loss": 0.473, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 4.68, | |
| "learning_rate": 3.055555555555556e-05, | |
| "loss": 0.4093, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 4.99, | |
| "eval_accuracy": 0.8166666666666667, | |
| "eval_loss": 0.6462448239326477, | |
| "eval_runtime": 0.9981, | |
| "eval_samples_per_second": 60.113, | |
| "eval_steps_per_second": 2.004, | |
| "step": 96 | |
| }, | |
| { | |
| "epoch": 5.19, | |
| "learning_rate": 2.75e-05, | |
| "loss": 0.4008, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 5.71, | |
| "learning_rate": 2.4444444444444445e-05, | |
| "loss": 0.2869, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 5.97, | |
| "eval_accuracy": 0.8333333333333334, | |
| "eval_loss": 0.5903454422950745, | |
| "eval_runtime": 1.0618, | |
| "eval_samples_per_second": 56.506, | |
| "eval_steps_per_second": 1.884, | |
| "step": 115 | |
| }, | |
| { | |
| "epoch": 6.23, | |
| "learning_rate": 2.138888888888889e-05, | |
| "loss": 0.2562, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 6.75, | |
| "learning_rate": 1.8333333333333333e-05, | |
| "loss": 0.2347, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 6.96, | |
| "eval_accuracy": 0.7333333333333333, | |
| "eval_loss": 0.7096327543258667, | |
| "eval_runtime": 1.0505, | |
| "eval_samples_per_second": 57.116, | |
| "eval_steps_per_second": 1.904, | |
| "step": 134 | |
| }, | |
| { | |
| "epoch": 7.27, | |
| "learning_rate": 1.527777777777778e-05, | |
| "loss": 0.266, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 7.79, | |
| "learning_rate": 1.2222222222222222e-05, | |
| "loss": 0.2148, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.7833333333333333, | |
| "eval_loss": 0.636201024055481, | |
| "eval_runtime": 1.1226, | |
| "eval_samples_per_second": 53.447, | |
| "eval_steps_per_second": 1.782, | |
| "step": 154 | |
| }, | |
| { | |
| "epoch": 8.31, | |
| "learning_rate": 9.166666666666666e-06, | |
| "loss": 0.1998, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 8.83, | |
| "learning_rate": 6.111111111111111e-06, | |
| "loss": 0.1868, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 8.99, | |
| "eval_accuracy": 0.8, | |
| "eval_loss": 0.6496174335479736, | |
| "eval_runtime": 0.9902, | |
| "eval_samples_per_second": 60.595, | |
| "eval_steps_per_second": 2.02, | |
| "step": 173 | |
| }, | |
| { | |
| "epoch": 9.35, | |
| "learning_rate": 3.0555555555555556e-06, | |
| "loss": 0.2031, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 9.87, | |
| "learning_rate": 0.0, | |
| "loss": 0.1977, | |
| "step": 190 | |
| }, | |
| { | |
| "epoch": 9.87, | |
| "eval_accuracy": 0.7666666666666667, | |
| "eval_loss": 0.6367517113685608, | |
| "eval_runtime": 1.0025, | |
| "eval_samples_per_second": 59.849, | |
| "eval_steps_per_second": 1.995, | |
| "step": 190 | |
| }, | |
| { | |
| "epoch": 9.87, | |
| "step": 190, | |
| "total_flos": 1.8748748039526973e+18, | |
| "train_loss": 0.5296587021727311, | |
| "train_runtime": 382.3327, | |
| "train_samples_per_second": 64.08, | |
| "train_steps_per_second": 0.497 | |
| } | |
| ], | |
| "logging_steps": 10, | |
| "max_steps": 190, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 10, | |
| "save_steps": 500, | |
| "total_flos": 1.8748748039526973e+18, | |
| "train_batch_size": 32, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |