| { | |
| "best_metric": 0.7220338983050848, | |
| "best_model_checkpoint": "swinv2-large-patch4-window12-192-22k-finetuned-eurosat-50/checkpoint-157", | |
| "epoch": 19.45945945945946, | |
| "global_step": 180, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.97, | |
| "eval_accuracy": 0.3728813559322034, | |
| "eval_loss": 1.6984361410140991, | |
| "eval_runtime": 5.7347, | |
| "eval_samples_per_second": 51.441, | |
| "eval_steps_per_second": 1.744, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 1.95, | |
| "eval_accuracy": 0.488135593220339, | |
| "eval_loss": 1.5150169134140015, | |
| "eval_runtime": 5.5319, | |
| "eval_samples_per_second": 53.327, | |
| "eval_steps_per_second": 1.808, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 2.16, | |
| "learning_rate": 4.46927374301676e-06, | |
| "loss": 1.6944, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 2.92, | |
| "eval_accuracy": 0.5389830508474577, | |
| "eval_loss": 1.3304221630096436, | |
| "eval_runtime": 5.5883, | |
| "eval_samples_per_second": 52.789, | |
| "eval_steps_per_second": 1.789, | |
| "step": 27 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.6, | |
| "eval_loss": 1.1760876178741455, | |
| "eval_runtime": 5.4945, | |
| "eval_samples_per_second": 53.69, | |
| "eval_steps_per_second": 1.82, | |
| "step": 37 | |
| }, | |
| { | |
| "epoch": 4.32, | |
| "learning_rate": 3.910614525139665e-06, | |
| "loss": 1.3633, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 4.97, | |
| "eval_accuracy": 0.6372881355932203, | |
| "eval_loss": 1.0587867498397827, | |
| "eval_runtime": 5.5671, | |
| "eval_samples_per_second": 52.99, | |
| "eval_steps_per_second": 1.796, | |
| "step": 46 | |
| }, | |
| { | |
| "epoch": 5.95, | |
| "eval_accuracy": 0.6474576271186441, | |
| "eval_loss": 0.9951748847961426, | |
| "eval_runtime": 5.5905, | |
| "eval_samples_per_second": 52.768, | |
| "eval_steps_per_second": 1.789, | |
| "step": 55 | |
| }, | |
| { | |
| "epoch": 6.49, | |
| "learning_rate": 3.35195530726257e-06, | |
| "loss": 1.1208, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 6.92, | |
| "eval_accuracy": 0.6610169491525424, | |
| "eval_loss": 0.9326281547546387, | |
| "eval_runtime": 5.5768, | |
| "eval_samples_per_second": 52.898, | |
| "eval_steps_per_second": 1.793, | |
| "step": 64 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.6711864406779661, | |
| "eval_loss": 0.8784985542297363, | |
| "eval_runtime": 5.506, | |
| "eval_samples_per_second": 53.578, | |
| "eval_steps_per_second": 1.816, | |
| "step": 74 | |
| }, | |
| { | |
| "epoch": 8.65, | |
| "learning_rate": 2.793296089385475e-06, | |
| "loss": 0.9891, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 8.97, | |
| "eval_accuracy": 0.6745762711864407, | |
| "eval_loss": 0.8478348851203918, | |
| "eval_runtime": 5.4498, | |
| "eval_samples_per_second": 54.13, | |
| "eval_steps_per_second": 1.835, | |
| "step": 83 | |
| }, | |
| { | |
| "epoch": 9.95, | |
| "eval_accuracy": 0.6847457627118644, | |
| "eval_loss": 0.8144229054450989, | |
| "eval_runtime": 5.4795, | |
| "eval_samples_per_second": 53.837, | |
| "eval_steps_per_second": 1.825, | |
| "step": 92 | |
| }, | |
| { | |
| "epoch": 10.81, | |
| "learning_rate": 2.23463687150838e-06, | |
| "loss": 0.9011, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 10.92, | |
| "eval_accuracy": 0.7016949152542373, | |
| "eval_loss": 0.7773841023445129, | |
| "eval_runtime": 5.5651, | |
| "eval_samples_per_second": 53.009, | |
| "eval_steps_per_second": 1.797, | |
| "step": 101 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "eval_accuracy": 0.6983050847457627, | |
| "eval_loss": 0.7567483186721802, | |
| "eval_runtime": 5.5809, | |
| "eval_samples_per_second": 52.859, | |
| "eval_steps_per_second": 1.792, | |
| "step": 111 | |
| }, | |
| { | |
| "epoch": 12.97, | |
| "learning_rate": 1.675977653631285e-06, | |
| "loss": 0.8143, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 12.97, | |
| "eval_accuracy": 0.6949152542372882, | |
| "eval_loss": 0.7525233626365662, | |
| "eval_runtime": 5.5142, | |
| "eval_samples_per_second": 53.498, | |
| "eval_steps_per_second": 1.813, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 13.95, | |
| "eval_accuracy": 0.7050847457627119, | |
| "eval_loss": 0.7308651804924011, | |
| "eval_runtime": 5.4401, | |
| "eval_samples_per_second": 54.227, | |
| "eval_steps_per_second": 1.838, | |
| "step": 129 | |
| }, | |
| { | |
| "epoch": 14.92, | |
| "eval_accuracy": 0.711864406779661, | |
| "eval_loss": 0.7140872478485107, | |
| "eval_runtime": 5.575, | |
| "eval_samples_per_second": 52.915, | |
| "eval_steps_per_second": 1.794, | |
| "step": 138 | |
| }, | |
| { | |
| "epoch": 15.14, | |
| "learning_rate": 1.11731843575419e-06, | |
| "loss": 0.7926, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "eval_accuracy": 0.7186440677966102, | |
| "eval_loss": 0.7095121741294861, | |
| "eval_runtime": 5.5218, | |
| "eval_samples_per_second": 53.424, | |
| "eval_steps_per_second": 1.811, | |
| "step": 148 | |
| }, | |
| { | |
| "epoch": 16.97, | |
| "eval_accuracy": 0.7220338983050848, | |
| "eval_loss": 0.7057121396064758, | |
| "eval_runtime": 5.5266, | |
| "eval_samples_per_second": 53.378, | |
| "eval_steps_per_second": 1.809, | |
| "step": 157 | |
| }, | |
| { | |
| "epoch": 17.3, | |
| "learning_rate": 5.58659217877095e-07, | |
| "loss": 0.7439, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 17.95, | |
| "eval_accuracy": 0.7220338983050848, | |
| "eval_loss": 0.6987767219543457, | |
| "eval_runtime": 5.5133, | |
| "eval_samples_per_second": 53.507, | |
| "eval_steps_per_second": 1.814, | |
| "step": 166 | |
| }, | |
| { | |
| "epoch": 18.92, | |
| "eval_accuracy": 0.7220338983050848, | |
| "eval_loss": 0.6967313885688782, | |
| "eval_runtime": 5.4926, | |
| "eval_samples_per_second": 53.709, | |
| "eval_steps_per_second": 1.821, | |
| "step": 175 | |
| }, | |
| { | |
| "epoch": 19.46, | |
| "learning_rate": 0.0, | |
| "loss": 0.7533, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 19.46, | |
| "eval_accuracy": 0.7220338983050848, | |
| "eval_loss": 0.6966923475265503, | |
| "eval_runtime": 5.5104, | |
| "eval_samples_per_second": 53.535, | |
| "eval_steps_per_second": 1.815, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 19.46, | |
| "step": 180, | |
| "total_flos": 2.967245304616526e+18, | |
| "train_loss": 1.0191877312130397, | |
| "train_runtime": 1137.2862, | |
| "train_samples_per_second": 20.698, | |
| "train_steps_per_second": 0.158 | |
| } | |
| ], | |
| "max_steps": 180, | |
| "num_train_epochs": 20, | |
| "total_flos": 2.967245304616526e+18, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |