| { | |
| "best_metric": 0.898876404494382, | |
| "best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-eurosat/checkpoint-52", | |
| "epoch": 27.692307692307693, | |
| "eval_steps": 500, | |
| "global_step": 90, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.9230769230769231, | |
| "eval_accuracy": 0.24719101123595505, | |
| "eval_loss": 1.8888534307479858, | |
| "eval_runtime": 0.8953, | |
| "eval_samples_per_second": 99.405, | |
| "eval_steps_per_second": 2.234, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 1.8461538461538463, | |
| "eval_accuracy": 0.38202247191011235, | |
| "eval_loss": 1.7625091075897217, | |
| "eval_runtime": 0.4339, | |
| "eval_samples_per_second": 205.122, | |
| "eval_steps_per_second": 4.609, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 2.769230769230769, | |
| "eval_accuracy": 0.449438202247191, | |
| "eval_loss": 1.5602569580078125, | |
| "eval_runtime": 0.4301, | |
| "eval_samples_per_second": 206.928, | |
| "eval_steps_per_second": 4.65, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 3.076923076923077, | |
| "grad_norm": 24.15924644470215, | |
| "learning_rate": 4.938271604938271e-05, | |
| "loss": 1.7854, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.5280898876404494, | |
| "eval_loss": 1.3004920482635498, | |
| "eval_runtime": 0.433, | |
| "eval_samples_per_second": 205.529, | |
| "eval_steps_per_second": 4.619, | |
| "step": 13 | |
| }, | |
| { | |
| "epoch": 4.923076923076923, | |
| "eval_accuracy": 0.6292134831460674, | |
| "eval_loss": 1.0408316850662231, | |
| "eval_runtime": 0.4328, | |
| "eval_samples_per_second": 205.62, | |
| "eval_steps_per_second": 4.621, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 5.846153846153846, | |
| "eval_accuracy": 0.6853932584269663, | |
| "eval_loss": 0.8925455212593079, | |
| "eval_runtime": 0.4391, | |
| "eval_samples_per_second": 202.683, | |
| "eval_steps_per_second": 4.555, | |
| "step": 19 | |
| }, | |
| { | |
| "epoch": 6.153846153846154, | |
| "grad_norm": 42.52753448486328, | |
| "learning_rate": 4.3209876543209875e-05, | |
| "loss": 1.1431, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 6.769230769230769, | |
| "eval_accuracy": 0.7303370786516854, | |
| "eval_loss": 0.761424720287323, | |
| "eval_runtime": 0.4374, | |
| "eval_samples_per_second": 203.488, | |
| "eval_steps_per_second": 4.573, | |
| "step": 22 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.7752808988764045, | |
| "eval_loss": 0.634343683719635, | |
| "eval_runtime": 0.4474, | |
| "eval_samples_per_second": 198.926, | |
| "eval_steps_per_second": 4.47, | |
| "step": 26 | |
| }, | |
| { | |
| "epoch": 8.923076923076923, | |
| "eval_accuracy": 0.797752808988764, | |
| "eval_loss": 0.5810024738311768, | |
| "eval_runtime": 0.4478, | |
| "eval_samples_per_second": 198.744, | |
| "eval_steps_per_second": 4.466, | |
| "step": 29 | |
| }, | |
| { | |
| "epoch": 9.23076923076923, | |
| "grad_norm": 40.938568115234375, | |
| "learning_rate": 3.7037037037037037e-05, | |
| "loss": 0.7715, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 9.846153846153847, | |
| "eval_accuracy": 0.8426966292134831, | |
| "eval_loss": 0.5550972819328308, | |
| "eval_runtime": 0.4609, | |
| "eval_samples_per_second": 193.105, | |
| "eval_steps_per_second": 4.339, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 10.76923076923077, | |
| "eval_accuracy": 0.8539325842696629, | |
| "eval_loss": 0.5209007859230042, | |
| "eval_runtime": 0.4554, | |
| "eval_samples_per_second": 195.413, | |
| "eval_steps_per_second": 4.391, | |
| "step": 35 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "eval_accuracy": 0.8202247191011236, | |
| "eval_loss": 0.5689600110054016, | |
| "eval_runtime": 0.4644, | |
| "eval_samples_per_second": 191.632, | |
| "eval_steps_per_second": 4.306, | |
| "step": 39 | |
| }, | |
| { | |
| "epoch": 12.307692307692308, | |
| "grad_norm": 41.01618957519531, | |
| "learning_rate": 3.08641975308642e-05, | |
| "loss": 0.5645, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 12.923076923076923, | |
| "eval_accuracy": 0.8876404494382022, | |
| "eval_loss": 0.4430869519710541, | |
| "eval_runtime": 0.5046, | |
| "eval_samples_per_second": 176.377, | |
| "eval_steps_per_second": 3.964, | |
| "step": 42 | |
| }, | |
| { | |
| "epoch": 13.846153846153847, | |
| "eval_accuracy": 0.8202247191011236, | |
| "eval_loss": 0.4921651780605316, | |
| "eval_runtime": 0.4657, | |
| "eval_samples_per_second": 191.097, | |
| "eval_steps_per_second": 4.294, | |
| "step": 45 | |
| }, | |
| { | |
| "epoch": 14.76923076923077, | |
| "eval_accuracy": 0.8314606741573034, | |
| "eval_loss": 0.4914401173591614, | |
| "eval_runtime": 0.5376, | |
| "eval_samples_per_second": 165.548, | |
| "eval_steps_per_second": 3.72, | |
| "step": 48 | |
| }, | |
| { | |
| "epoch": 15.384615384615385, | |
| "grad_norm": 45.103057861328125, | |
| "learning_rate": 2.4691358024691357e-05, | |
| "loss": 0.4999, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "eval_accuracy": 0.898876404494382, | |
| "eval_loss": 0.3767582178115845, | |
| "eval_runtime": 0.4592, | |
| "eval_samples_per_second": 193.816, | |
| "eval_steps_per_second": 4.355, | |
| "step": 52 | |
| }, | |
| { | |
| "epoch": 16.923076923076923, | |
| "eval_accuracy": 0.8539325842696629, | |
| "eval_loss": 0.42921027541160583, | |
| "eval_runtime": 0.4521, | |
| "eval_samples_per_second": 196.876, | |
| "eval_steps_per_second": 4.424, | |
| "step": 55 | |
| }, | |
| { | |
| "epoch": 17.846153846153847, | |
| "eval_accuracy": 0.8651685393258427, | |
| "eval_loss": 0.3845795691013336, | |
| "eval_runtime": 0.4679, | |
| "eval_samples_per_second": 190.193, | |
| "eval_steps_per_second": 4.274, | |
| "step": 58 | |
| }, | |
| { | |
| "epoch": 18.46153846153846, | |
| "grad_norm": 36.70952224731445, | |
| "learning_rate": 1.8518518518518518e-05, | |
| "loss": 0.4555, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 18.76923076923077, | |
| "eval_accuracy": 0.8876404494382022, | |
| "eval_loss": 0.3498174548149109, | |
| "eval_runtime": 0.488, | |
| "eval_samples_per_second": 182.38, | |
| "eval_steps_per_second": 4.098, | |
| "step": 61 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "eval_accuracy": 0.8651685393258427, | |
| "eval_loss": 0.3523467183113098, | |
| "eval_runtime": 0.4442, | |
| "eval_samples_per_second": 200.357, | |
| "eval_steps_per_second": 4.502, | |
| "step": 65 | |
| }, | |
| { | |
| "epoch": 20.923076923076923, | |
| "eval_accuracy": 0.8876404494382022, | |
| "eval_loss": 0.3540913164615631, | |
| "eval_runtime": 0.4584, | |
| "eval_samples_per_second": 194.157, | |
| "eval_steps_per_second": 4.363, | |
| "step": 68 | |
| }, | |
| { | |
| "epoch": 21.53846153846154, | |
| "grad_norm": 48.17884063720703, | |
| "learning_rate": 1.2345679012345678e-05, | |
| "loss": 0.3941, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 21.846153846153847, | |
| "eval_accuracy": 0.898876404494382, | |
| "eval_loss": 0.32396575808525085, | |
| "eval_runtime": 0.4491, | |
| "eval_samples_per_second": 198.193, | |
| "eval_steps_per_second": 4.454, | |
| "step": 71 | |
| }, | |
| { | |
| "epoch": 22.76923076923077, | |
| "eval_accuracy": 0.898876404494382, | |
| "eval_loss": 0.31694793701171875, | |
| "eval_runtime": 0.4762, | |
| "eval_samples_per_second": 186.89, | |
| "eval_steps_per_second": 4.2, | |
| "step": 74 | |
| }, | |
| { | |
| "epoch": 24.0, | |
| "eval_accuracy": 0.8764044943820225, | |
| "eval_loss": 0.3317168951034546, | |
| "eval_runtime": 0.4808, | |
| "eval_samples_per_second": 185.122, | |
| "eval_steps_per_second": 4.16, | |
| "step": 78 | |
| }, | |
| { | |
| "epoch": 24.615384615384617, | |
| "grad_norm": 53.90333938598633, | |
| "learning_rate": 6.172839506172839e-06, | |
| "loss": 0.361, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 24.923076923076923, | |
| "eval_accuracy": 0.8876404494382022, | |
| "eval_loss": 0.32509633898735046, | |
| "eval_runtime": 0.4625, | |
| "eval_samples_per_second": 192.419, | |
| "eval_steps_per_second": 4.324, | |
| "step": 81 | |
| }, | |
| { | |
| "epoch": 25.846153846153847, | |
| "eval_accuracy": 0.8764044943820225, | |
| "eval_loss": 0.3197612166404724, | |
| "eval_runtime": 0.4547, | |
| "eval_samples_per_second": 195.751, | |
| "eval_steps_per_second": 4.399, | |
| "step": 84 | |
| }, | |
| { | |
| "epoch": 26.76923076923077, | |
| "eval_accuracy": 0.8764044943820225, | |
| "eval_loss": 0.3116617500782013, | |
| "eval_runtime": 0.4618, | |
| "eval_samples_per_second": 192.737, | |
| "eval_steps_per_second": 4.331, | |
| "step": 87 | |
| }, | |
| { | |
| "epoch": 27.692307692307693, | |
| "grad_norm": 35.301124572753906, | |
| "learning_rate": 0.0, | |
| "loss": 0.3485, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 27.692307692307693, | |
| "eval_accuracy": 0.8764044943820225, | |
| "eval_loss": 0.3100605309009552, | |
| "eval_runtime": 0.4918, | |
| "eval_samples_per_second": 180.964, | |
| "eval_steps_per_second": 4.067, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 27.692307692307693, | |
| "step": 90, | |
| "total_flos": 5.512834219233116e+17, | |
| "train_loss": 0.7025861872567071, | |
| "train_runtime": 285.963, | |
| "train_samples_per_second": 83.927, | |
| "train_steps_per_second": 0.315 | |
| } | |
| ], | |
| "logging_steps": 10, | |
| "max_steps": 90, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 30, | |
| "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": 5.512834219233116e+17, | |
| "train_batch_size": 64, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |