| { |
| "best_metric": 0.6818181818181818, |
| "best_model_checkpoint": "swinv2-tiny-patch4-window8-256-dmae-humeda-DAV41/checkpoint-30", |
| "epoch": 20.0, |
| "eval_steps": 500, |
| "global_step": 40, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 1.0, |
| "eval_accuracy": 0.4318181818181818, |
| "eval_loss": 1.4874267578125, |
| "eval_runtime": 1.7179, |
| "eval_samples_per_second": 51.224, |
| "eval_steps_per_second": 1.746, |
| "step": 2 |
| }, |
| { |
| "epoch": 2.0, |
| "eval_accuracy": 0.4431818181818182, |
| "eval_loss": 1.3560291528701782, |
| "eval_runtime": 1.9222, |
| "eval_samples_per_second": 45.781, |
| "eval_steps_per_second": 1.561, |
| "step": 4 |
| }, |
| { |
| "epoch": 3.0, |
| "eval_accuracy": 0.4431818181818182, |
| "eval_loss": 1.3116788864135742, |
| "eval_runtime": 2.4062, |
| "eval_samples_per_second": 36.573, |
| "eval_steps_per_second": 1.247, |
| "step": 6 |
| }, |
| { |
| "epoch": 4.0, |
| "eval_accuracy": 0.4431818181818182, |
| "eval_loss": 1.2763394117355347, |
| "eval_runtime": 2.2451, |
| "eval_samples_per_second": 39.197, |
| "eval_steps_per_second": 1.336, |
| "step": 8 |
| }, |
| { |
| "epoch": 5.0, |
| "eval_accuracy": 0.5681818181818182, |
| "eval_loss": 1.2601596117019653, |
| "eval_runtime": 2.0294, |
| "eval_samples_per_second": 43.363, |
| "eval_steps_per_second": 1.478, |
| "step": 10 |
| }, |
| { |
| "epoch": 6.0, |
| "grad_norm": 12.913003921508789, |
| "learning_rate": 2.728728066433488e-05, |
| "loss": 8.9996, |
| "step": 12 |
| }, |
| { |
| "epoch": 6.0, |
| "eval_accuracy": 0.6022727272727273, |
| "eval_loss": 1.2348134517669678, |
| "eval_runtime": 1.5272, |
| "eval_samples_per_second": 57.623, |
| "eval_steps_per_second": 1.964, |
| "step": 12 |
| }, |
| { |
| "epoch": 7.0, |
| "eval_accuracy": 0.5795454545454546, |
| "eval_loss": 1.1982394456863403, |
| "eval_runtime": 1.4872, |
| "eval_samples_per_second": 59.172, |
| "eval_steps_per_second": 2.017, |
| "step": 14 |
| }, |
| { |
| "epoch": 8.0, |
| "eval_accuracy": 0.6136363636363636, |
| "eval_loss": 1.1591989994049072, |
| "eval_runtime": 1.5154, |
| "eval_samples_per_second": 58.07, |
| "eval_steps_per_second": 1.98, |
| "step": 16 |
| }, |
| { |
| "epoch": 9.0, |
| "eval_accuracy": 0.625, |
| "eval_loss": 1.1142396926879883, |
| "eval_runtime": 1.4939, |
| "eval_samples_per_second": 58.904, |
| "eval_steps_per_second": 2.008, |
| "step": 18 |
| }, |
| { |
| "epoch": 10.0, |
| "eval_accuracy": 0.6363636363636364, |
| "eval_loss": 1.06820547580719, |
| "eval_runtime": 1.5178, |
| "eval_samples_per_second": 57.979, |
| "eval_steps_per_second": 1.977, |
| "step": 20 |
| }, |
| { |
| "epoch": 11.0, |
| "eval_accuracy": 0.6477272727272727, |
| "eval_loss": 1.0256125926971436, |
| "eval_runtime": 1.4495, |
| "eval_samples_per_second": 60.712, |
| "eval_steps_per_second": 2.07, |
| "step": 22 |
| }, |
| { |
| "epoch": 12.0, |
| "grad_norm": 17.359237670898438, |
| "learning_rate": 1.3692663858785127e-05, |
| "loss": 7.429, |
| "step": 24 |
| }, |
| { |
| "epoch": 12.0, |
| "eval_accuracy": 0.6704545454545454, |
| "eval_loss": 0.984276533126831, |
| "eval_runtime": 1.6744, |
| "eval_samples_per_second": 52.558, |
| "eval_steps_per_second": 1.792, |
| "step": 24 |
| }, |
| { |
| "epoch": 13.0, |
| "eval_accuracy": 0.6704545454545454, |
| "eval_loss": 0.9602272510528564, |
| "eval_runtime": 1.6269, |
| "eval_samples_per_second": 54.089, |
| "eval_steps_per_second": 1.844, |
| "step": 26 |
| }, |
| { |
| "epoch": 14.0, |
| "eval_accuracy": 0.6590909090909091, |
| "eval_loss": 0.9451698064804077, |
| "eval_runtime": 1.7471, |
| "eval_samples_per_second": 50.369, |
| "eval_steps_per_second": 1.717, |
| "step": 28 |
| }, |
| { |
| "epoch": 15.0, |
| "eval_accuracy": 0.6818181818181818, |
| "eval_loss": 0.9385179877281189, |
| "eval_runtime": 2.3184, |
| "eval_samples_per_second": 37.957, |
| "eval_steps_per_second": 1.294, |
| "step": 30 |
| }, |
| { |
| "epoch": 16.0, |
| "eval_accuracy": 0.6704545454545454, |
| "eval_loss": 0.9320499897003174, |
| "eval_runtime": 2.0728, |
| "eval_samples_per_second": 42.455, |
| "eval_steps_per_second": 1.447, |
| "step": 32 |
| }, |
| { |
| "epoch": 17.0, |
| "eval_accuracy": 0.6477272727272727, |
| "eval_loss": 0.9284698963165283, |
| "eval_runtime": 1.5384, |
| "eval_samples_per_second": 57.203, |
| "eval_steps_per_second": 1.95, |
| "step": 34 |
| }, |
| { |
| "epoch": 18.0, |
| "grad_norm": 22.705101013183594, |
| "learning_rate": 1.4053831944502509e-06, |
| "loss": 6.2752, |
| "step": 36 |
| }, |
| { |
| "epoch": 18.0, |
| "eval_accuracy": 0.6590909090909091, |
| "eval_loss": 0.9239160418510437, |
| "eval_runtime": 1.5387, |
| "eval_samples_per_second": 57.193, |
| "eval_steps_per_second": 1.95, |
| "step": 36 |
| }, |
| { |
| "epoch": 19.0, |
| "eval_accuracy": 0.6818181818181818, |
| "eval_loss": 0.9213680028915405, |
| "eval_runtime": 1.4957, |
| "eval_samples_per_second": 58.834, |
| "eval_steps_per_second": 2.006, |
| "step": 38 |
| }, |
| { |
| "epoch": 20.0, |
| "eval_accuracy": 0.6818181818181818, |
| "eval_loss": 0.9205734729766846, |
| "eval_runtime": 1.81, |
| "eval_samples_per_second": 48.618, |
| "eval_steps_per_second": 1.657, |
| "step": 40 |
| }, |
| { |
| "epoch": 20.0, |
| "step": 40, |
| "total_flos": 2.6550232764383232e+17, |
| "train_loss": 7.41663556098938, |
| "train_runtime": 264.8298, |
| "train_samples_per_second": 61.624, |
| "train_steps_per_second": 0.151 |
| } |
| ], |
| "logging_steps": 12, |
| "max_steps": 40, |
| "num_input_tokens_seen": 0, |
| "num_train_epochs": 40, |
| "save_steps": 500, |
| "stateful_callbacks": { |
| "TrainerControl": { |
| "args": { |
| "should_epoch_stop": false, |
| "should_evaluate": false, |
| "should_log": false, |
| "should_save": true, |
| "should_training_stop": true |
| }, |
| "attributes": {} |
| } |
| }, |
| "total_flos": 2.6550232764383232e+17, |
| "train_batch_size": 32, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|
