| { | |
| "best_metric": 0.5484848484848485, | |
| "best_model_checkpoint": "/content/drive/MyDrive/Colab Notebooks/Classification/ResNet/models/resnet-50-finetuned-eurosat/checkpoint-40", | |
| "epoch": 4.987654320987654, | |
| "global_step": 101, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.49, | |
| "learning_rate": 1.25e-05, | |
| "loss": 1.6212, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.99, | |
| "learning_rate": 2.5e-05, | |
| "loss": 1.6069, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.99, | |
| "eval_accuracy": 0.3878787878787879, | |
| "eval_loss": 1.583906650543213, | |
| "eval_runtime": 48.7146, | |
| "eval_samples_per_second": 6.774, | |
| "eval_steps_per_second": 0.226, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 1.48, | |
| "learning_rate": 3.7500000000000003e-05, | |
| "loss": 1.5805, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 1.98, | |
| "learning_rate": 5e-05, | |
| "loss": 1.5395, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 1.98, | |
| "eval_accuracy": 0.5484848484848485, | |
| "eval_loss": 1.4859752655029297, | |
| "eval_runtime": 50.0664, | |
| "eval_samples_per_second": 6.591, | |
| "eval_steps_per_second": 0.22, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 2.47, | |
| "learning_rate": 4.8611111111111115e-05, | |
| "loss": 1.4945, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 2.96, | |
| "learning_rate": 4.722222222222222e-05, | |
| "loss": 1.4321, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 2.96, | |
| "eval_accuracy": 0.5363636363636364, | |
| "eval_loss": 1.3499529361724854, | |
| "eval_runtime": 48.2278, | |
| "eval_samples_per_second": 6.843, | |
| "eval_steps_per_second": 0.228, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 3.46, | |
| "learning_rate": 4.5833333333333334e-05, | |
| "loss": 1.3913, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 3.95, | |
| "learning_rate": 4.4444444444444447e-05, | |
| "loss": 1.3292, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.5212121212121212, | |
| "eval_loss": 1.1825833320617676, | |
| "eval_runtime": 50.0088, | |
| "eval_samples_per_second": 6.599, | |
| "eval_steps_per_second": 0.22, | |
| "step": 81 | |
| }, | |
| { | |
| "epoch": 4.44, | |
| "learning_rate": 4.305555555555556e-05, | |
| "loss": 1.2981, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 4.94, | |
| "learning_rate": 4.166666666666667e-05, | |
| "loss": 1.233, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 4.99, | |
| "eval_accuracy": 0.5151515151515151, | |
| "eval_loss": 1.0706149339675903, | |
| "eval_runtime": 49.193, | |
| "eval_samples_per_second": 6.708, | |
| "eval_steps_per_second": 0.224, | |
| "step": 101 | |
| }, | |
| { | |
| "epoch": 4.99, | |
| "step": 101, | |
| "total_flos": 2.7220284090768384e+17, | |
| "train_loss": 1.453597612900309, | |
| "train_runtime": 2193.3308, | |
| "train_samples_per_second": 23.371, | |
| "train_steps_per_second": 0.182 | |
| } | |
| ], | |
| "max_steps": 400, | |
| "num_train_epochs": 20, | |
| "total_flos": 2.7220284090768384e+17, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |