| { |
| "best_metric": 0.8915401301518439, |
| "best_model_checkpoint": "swin-tiny-patch4-window7-224-MM_Classification/checkpoint-97", |
| "epoch": 9.846153846153847, |
| "eval_steps": 500, |
| "global_step": 160, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 0.6153846153846154, |
| "grad_norm": 2.865189790725708, |
| "learning_rate": 3.125e-05, |
| "loss": 1.0635, |
| "step": 10 |
| }, |
| { |
| "epoch": 0.9846153846153847, |
| "eval_accuracy": 0.6724511930585684, |
| "eval_loss": 0.752371609210968, |
| "eval_runtime": 123.4184, |
| "eval_samples_per_second": 7.471, |
| "eval_steps_per_second": 0.065, |
| "step": 16 |
| }, |
| { |
| "epoch": 1.2307692307692308, |
| "grad_norm": 2.9992876052856445, |
| "learning_rate": 4.8611111111111115e-05, |
| "loss": 0.689, |
| "step": 20 |
| }, |
| { |
| "epoch": 1.8461538461538463, |
| "grad_norm": 3.645339250564575, |
| "learning_rate": 4.5138888888888894e-05, |
| "loss": 0.4571, |
| "step": 30 |
| }, |
| { |
| "epoch": 1.9692307692307693, |
| "eval_accuracy": 0.8741865509761388, |
| "eval_loss": 0.3691757023334503, |
| "eval_runtime": 86.3686, |
| "eval_samples_per_second": 10.675, |
| "eval_steps_per_second": 0.093, |
| "step": 32 |
| }, |
| { |
| "epoch": 2.4615384615384617, |
| "grad_norm": 2.6993319988250732, |
| "learning_rate": 4.166666666666667e-05, |
| "loss": 0.3819, |
| "step": 40 |
| }, |
| { |
| "epoch": 2.953846153846154, |
| "eval_accuracy": 0.868763557483731, |
| "eval_loss": 0.34995290637016296, |
| "eval_runtime": 86.4691, |
| "eval_samples_per_second": 10.663, |
| "eval_steps_per_second": 0.093, |
| "step": 48 |
| }, |
| { |
| "epoch": 3.076923076923077, |
| "grad_norm": 2.87962007522583, |
| "learning_rate": 3.8194444444444444e-05, |
| "loss": 0.3314, |
| "step": 50 |
| }, |
| { |
| "epoch": 3.6923076923076925, |
| "grad_norm": 1.9204134941101074, |
| "learning_rate": 3.472222222222222e-05, |
| "loss": 0.3278, |
| "step": 60 |
| }, |
| { |
| "epoch": 4.0, |
| "eval_accuracy": 0.8796095444685467, |
| "eval_loss": 0.3158332407474518, |
| "eval_runtime": 86.6345, |
| "eval_samples_per_second": 10.642, |
| "eval_steps_per_second": 0.092, |
| "step": 65 |
| }, |
| { |
| "epoch": 4.3076923076923075, |
| "grad_norm": 2.5817983150482178, |
| "learning_rate": 3.125e-05, |
| "loss": 0.3014, |
| "step": 70 |
| }, |
| { |
| "epoch": 4.923076923076923, |
| "grad_norm": 4.615570068359375, |
| "learning_rate": 2.777777777777778e-05, |
| "loss": 0.2941, |
| "step": 80 |
| }, |
| { |
| "epoch": 4.984615384615385, |
| "eval_accuracy": 0.8882863340563991, |
| "eval_loss": 0.28860825300216675, |
| "eval_runtime": 86.3289, |
| "eval_samples_per_second": 10.68, |
| "eval_steps_per_second": 0.093, |
| "step": 81 |
| }, |
| { |
| "epoch": 5.538461538461538, |
| "grad_norm": 2.7304208278656006, |
| "learning_rate": 2.4305555555555558e-05, |
| "loss": 0.2912, |
| "step": 90 |
| }, |
| { |
| "epoch": 5.969230769230769, |
| "eval_accuracy": 0.8915401301518439, |
| "eval_loss": 0.2895461618900299, |
| "eval_runtime": 86.653, |
| "eval_samples_per_second": 10.64, |
| "eval_steps_per_second": 0.092, |
| "step": 97 |
| }, |
| { |
| "epoch": 6.153846153846154, |
| "grad_norm": 3.1544618606567383, |
| "learning_rate": 2.0833333333333336e-05, |
| "loss": 0.2859, |
| "step": 100 |
| }, |
| { |
| "epoch": 6.769230769230769, |
| "grad_norm": 3.098551034927368, |
| "learning_rate": 1.736111111111111e-05, |
| "loss": 0.2575, |
| "step": 110 |
| }, |
| { |
| "epoch": 6.953846153846154, |
| "eval_accuracy": 0.8839479392624728, |
| "eval_loss": 0.2800944447517395, |
| "eval_runtime": 86.242, |
| "eval_samples_per_second": 10.691, |
| "eval_steps_per_second": 0.093, |
| "step": 113 |
| }, |
| { |
| "epoch": 7.384615384615385, |
| "grad_norm": 2.2395167350769043, |
| "learning_rate": 1.388888888888889e-05, |
| "loss": 0.272, |
| "step": 120 |
| }, |
| { |
| "epoch": 8.0, |
| "grad_norm": 6.406205177307129, |
| "learning_rate": 1.0416666666666668e-05, |
| "loss": 0.2604, |
| "step": 130 |
| }, |
| { |
| "epoch": 8.0, |
| "eval_accuracy": 0.886117136659436, |
| "eval_loss": 0.28469106554985046, |
| "eval_runtime": 86.3518, |
| "eval_samples_per_second": 10.677, |
| "eval_steps_per_second": 0.093, |
| "step": 130 |
| }, |
| { |
| "epoch": 8.615384615384615, |
| "grad_norm": 3.8146533966064453, |
| "learning_rate": 6.944444444444445e-06, |
| "loss": 0.2519, |
| "step": 140 |
| }, |
| { |
| "epoch": 8.984615384615385, |
| "eval_accuracy": 0.8872017353579176, |
| "eval_loss": 0.2804240584373474, |
| "eval_runtime": 86.6439, |
| "eval_samples_per_second": 10.641, |
| "eval_steps_per_second": 0.092, |
| "step": 146 |
| }, |
| { |
| "epoch": 9.23076923076923, |
| "grad_norm": 2.1230437755584717, |
| "learning_rate": 3.4722222222222224e-06, |
| "loss": 0.2614, |
| "step": 150 |
| }, |
| { |
| "epoch": 9.846153846153847, |
| "grad_norm": 1.9836598634719849, |
| "learning_rate": 0.0, |
| "loss": 0.2592, |
| "step": 160 |
| }, |
| { |
| "epoch": 9.846153846153847, |
| "eval_accuracy": 0.8872017353579176, |
| "eval_loss": 0.27946537733078003, |
| "eval_runtime": 86.4591, |
| "eval_samples_per_second": 10.664, |
| "eval_steps_per_second": 0.093, |
| "step": 160 |
| }, |
| { |
| "epoch": 9.846153846153847, |
| "step": 160, |
| "total_flos": 2.0293244994235208e+18, |
| "train_loss": 0.3741051137447357, |
| "train_runtime": 7958.3559, |
| "train_samples_per_second": 10.415, |
| "train_steps_per_second": 0.02 |
| } |
| ], |
| "logging_steps": 10, |
| "max_steps": 160, |
| "num_input_tokens_seen": 0, |
| "num_train_epochs": 10, |
| "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": 2.0293244994235208e+18, |
| "train_batch_size": 128, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|
