| { | |
| "best_metric": 0.010416708886623383, | |
| "best_model_checkpoint": "swin-base-patch4-window7-224-in22k-Kontur-competition-1.3K/checkpoint-56", | |
| "epoch": 9.6, | |
| "eval_steps": 500, | |
| "global_step": 60, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.96, | |
| "eval_loss": 0.4818643033504486, | |
| "eval_runtime": 2.5684, | |
| "eval_samples_per_second": 51.393, | |
| "eval_steps_per_second": 1.168, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 1.6, | |
| "grad_norm": 3.978776454925537, | |
| "learning_rate": 4.62962962962963e-05, | |
| "loss": 0.5639, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 1.92, | |
| "eval_loss": 0.22424142062664032, | |
| "eval_runtime": 2.618, | |
| "eval_samples_per_second": 50.419, | |
| "eval_steps_per_second": 1.146, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 2.88, | |
| "eval_loss": 0.0641486644744873, | |
| "eval_runtime": 2.5792, | |
| "eval_samples_per_second": 51.18, | |
| "eval_steps_per_second": 1.163, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 3.2, | |
| "grad_norm": 2.1514062881469727, | |
| "learning_rate": 3.7037037037037037e-05, | |
| "loss": 0.1359, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_loss": 0.07821954041719437, | |
| "eval_runtime": 2.6087, | |
| "eval_samples_per_second": 50.601, | |
| "eval_steps_per_second": 1.15, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 4.8, | |
| "grad_norm": 1.6489207744598389, | |
| "learning_rate": 2.777777777777778e-05, | |
| "loss": 0.031, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 4.96, | |
| "eval_loss": 0.025011500343680382, | |
| "eval_runtime": 2.632, | |
| "eval_samples_per_second": 50.152, | |
| "eval_steps_per_second": 1.14, | |
| "step": 31 | |
| }, | |
| { | |
| "epoch": 5.92, | |
| "eval_loss": 0.017290038987994194, | |
| "eval_runtime": 2.6102, | |
| "eval_samples_per_second": 50.571, | |
| "eval_steps_per_second": 1.149, | |
| "step": 37 | |
| }, | |
| { | |
| "epoch": 6.4, | |
| "grad_norm": 7.398428440093994, | |
| "learning_rate": 1.8518518518518518e-05, | |
| "loss": 0.0221, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 6.88, | |
| "eval_loss": 0.01186411827802658, | |
| "eval_runtime": 2.603, | |
| "eval_samples_per_second": 50.712, | |
| "eval_steps_per_second": 1.153, | |
| "step": 43 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "grad_norm": 0.057548072189092636, | |
| "learning_rate": 9.259259259259259e-06, | |
| "loss": 0.0144, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_loss": 0.01627057045698166, | |
| "eval_runtime": 2.5904, | |
| "eval_samples_per_second": 50.957, | |
| "eval_steps_per_second": 1.158, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 8.96, | |
| "eval_loss": 0.010416708886623383, | |
| "eval_runtime": 2.5905, | |
| "eval_samples_per_second": 50.956, | |
| "eval_steps_per_second": 1.158, | |
| "step": 56 | |
| }, | |
| { | |
| "epoch": 9.6, | |
| "grad_norm": 0.8250289559364319, | |
| "learning_rate": 0.0, | |
| "loss": 0.0144, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 9.6, | |
| "eval_loss": 0.011465705931186676, | |
| "eval_runtime": 2.9818, | |
| "eval_samples_per_second": 44.269, | |
| "eval_steps_per_second": 1.006, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 9.6, | |
| "step": 60, | |
| "total_flos": 8.884386008218829e+17, | |
| "train_loss": 0.13027287572622298, | |
| "train_runtime": 399.2998, | |
| "train_samples_per_second": 29.552, | |
| "train_steps_per_second": 0.15 | |
| } | |
| ], | |
| "logging_steps": 10, | |
| "max_steps": 60, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 10, | |
| "save_steps": 500, | |
| "total_flos": 8.884386008218829e+17, | |
| "train_batch_size": 48, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |