|
{ |
|
"best_metric": 0.896875, |
|
"best_model_checkpoint": "swinv2-tiny-patch4-window8-256-finalterm/checkpoint-160", |
|
"epoch": 20.0, |
|
"eval_steps": 500, |
|
"global_step": 200, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"grad_norm": 3.0463645458221436, |
|
"learning_rate": 2.5e-05, |
|
"loss": 1.397, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.35625, |
|
"eval_loss": 1.3485567569732666, |
|
"eval_runtime": 2.7657, |
|
"eval_samples_per_second": 115.703, |
|
"eval_steps_per_second": 3.616, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"grad_norm": 9.14601993560791, |
|
"learning_rate": 5e-05, |
|
"loss": 1.2224, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.509375, |
|
"eval_loss": 1.0746052265167236, |
|
"eval_runtime": 2.8349, |
|
"eval_samples_per_second": 112.879, |
|
"eval_steps_per_second": 3.527, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"grad_norm": 8.623628616333008, |
|
"learning_rate": 4.722222222222222e-05, |
|
"loss": 0.8883, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.709375, |
|
"eval_loss": 0.7385674715042114, |
|
"eval_runtime": 3.0143, |
|
"eval_samples_per_second": 106.162, |
|
"eval_steps_per_second": 3.318, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"grad_norm": 7.014606475830078, |
|
"learning_rate": 4.4444444444444447e-05, |
|
"loss": 0.73, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.71875, |
|
"eval_loss": 0.6787489056587219, |
|
"eval_runtime": 3.0319, |
|
"eval_samples_per_second": 105.543, |
|
"eval_steps_per_second": 3.298, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"grad_norm": 5.60139799118042, |
|
"learning_rate": 4.166666666666667e-05, |
|
"loss": 0.6132, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy": 0.75, |
|
"eval_loss": 0.5557254552841187, |
|
"eval_runtime": 2.7949, |
|
"eval_samples_per_second": 114.494, |
|
"eval_steps_per_second": 3.578, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"grad_norm": 6.750443458557129, |
|
"learning_rate": 3.888888888888889e-05, |
|
"loss": 0.5297, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_accuracy": 0.828125, |
|
"eval_loss": 0.4563722610473633, |
|
"eval_runtime": 2.8163, |
|
"eval_samples_per_second": 113.622, |
|
"eval_steps_per_second": 3.551, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"grad_norm": 8.682096481323242, |
|
"learning_rate": 3.611111111111111e-05, |
|
"loss": 0.4811, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"eval_accuracy": 0.859375, |
|
"eval_loss": 0.4000449776649475, |
|
"eval_runtime": 2.8732, |
|
"eval_samples_per_second": 111.373, |
|
"eval_steps_per_second": 3.48, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"grad_norm": 4.585944652557373, |
|
"learning_rate": 3.3333333333333335e-05, |
|
"loss": 0.484, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"eval_accuracy": 0.853125, |
|
"eval_loss": 0.40824002027511597, |
|
"eval_runtime": 2.7794, |
|
"eval_samples_per_second": 115.134, |
|
"eval_steps_per_second": 3.598, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 9.0, |
|
"grad_norm": 5.7387237548828125, |
|
"learning_rate": 3.055555555555556e-05, |
|
"loss": 0.4525, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 9.0, |
|
"eval_accuracy": 0.890625, |
|
"eval_loss": 0.3567732274532318, |
|
"eval_runtime": 2.8097, |
|
"eval_samples_per_second": 113.893, |
|
"eval_steps_per_second": 3.559, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"grad_norm": 5.609104633331299, |
|
"learning_rate": 2.777777777777778e-05, |
|
"loss": 0.429, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"eval_accuracy": 0.875, |
|
"eval_loss": 0.3661341071128845, |
|
"eval_runtime": 2.8278, |
|
"eval_samples_per_second": 113.164, |
|
"eval_steps_per_second": 3.536, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 11.0, |
|
"grad_norm": 5.6711225509643555, |
|
"learning_rate": 2.5e-05, |
|
"loss": 0.4383, |
|
"step": 110 |
|
}, |
|
{ |
|
"epoch": 11.0, |
|
"eval_accuracy": 0.85, |
|
"eval_loss": 0.4051894247531891, |
|
"eval_runtime": 2.947, |
|
"eval_samples_per_second": 108.586, |
|
"eval_steps_per_second": 3.393, |
|
"step": 110 |
|
}, |
|
{ |
|
"epoch": 12.0, |
|
"grad_norm": 6.238234996795654, |
|
"learning_rate": 2.2222222222222223e-05, |
|
"loss": 0.4586, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 12.0, |
|
"eval_accuracy": 0.88125, |
|
"eval_loss": 0.3318403363227844, |
|
"eval_runtime": 2.8475, |
|
"eval_samples_per_second": 112.381, |
|
"eval_steps_per_second": 3.512, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 13.0, |
|
"grad_norm": 6.806089401245117, |
|
"learning_rate": 1.9444444444444445e-05, |
|
"loss": 0.4036, |
|
"step": 130 |
|
}, |
|
{ |
|
"epoch": 13.0, |
|
"eval_accuracy": 0.865625, |
|
"eval_loss": 0.35395950078964233, |
|
"eval_runtime": 2.8595, |
|
"eval_samples_per_second": 111.906, |
|
"eval_steps_per_second": 3.497, |
|
"step": 130 |
|
}, |
|
{ |
|
"epoch": 14.0, |
|
"grad_norm": 4.199438095092773, |
|
"learning_rate": 1.6666666666666667e-05, |
|
"loss": 0.3652, |
|
"step": 140 |
|
}, |
|
{ |
|
"epoch": 14.0, |
|
"eval_accuracy": 0.871875, |
|
"eval_loss": 0.3941846787929535, |
|
"eval_runtime": 2.8862, |
|
"eval_samples_per_second": 110.871, |
|
"eval_steps_per_second": 3.465, |
|
"step": 140 |
|
}, |
|
{ |
|
"epoch": 15.0, |
|
"grad_norm": 4.736207485198975, |
|
"learning_rate": 1.388888888888889e-05, |
|
"loss": 0.3822, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 15.0, |
|
"eval_accuracy": 0.890625, |
|
"eval_loss": 0.3420585095882416, |
|
"eval_runtime": 2.8296, |
|
"eval_samples_per_second": 113.091, |
|
"eval_steps_per_second": 3.534, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 16.0, |
|
"grad_norm": 5.99350643157959, |
|
"learning_rate": 1.1111111111111112e-05, |
|
"loss": 0.3564, |
|
"step": 160 |
|
}, |
|
{ |
|
"epoch": 16.0, |
|
"eval_accuracy": 0.896875, |
|
"eval_loss": 0.31735172867774963, |
|
"eval_runtime": 2.7873, |
|
"eval_samples_per_second": 114.807, |
|
"eval_steps_per_second": 3.588, |
|
"step": 160 |
|
}, |
|
{ |
|
"epoch": 17.0, |
|
"grad_norm": 4.5202741622924805, |
|
"learning_rate": 8.333333333333334e-06, |
|
"loss": 0.3635, |
|
"step": 170 |
|
}, |
|
{ |
|
"epoch": 17.0, |
|
"eval_accuracy": 0.884375, |
|
"eval_loss": 0.3356662690639496, |
|
"eval_runtime": 2.8073, |
|
"eval_samples_per_second": 113.988, |
|
"eval_steps_per_second": 3.562, |
|
"step": 170 |
|
}, |
|
{ |
|
"epoch": 18.0, |
|
"grad_norm": 5.483897686004639, |
|
"learning_rate": 5.555555555555556e-06, |
|
"loss": 0.3645, |
|
"step": 180 |
|
}, |
|
{ |
|
"epoch": 18.0, |
|
"eval_accuracy": 0.89375, |
|
"eval_loss": 0.3204434812068939, |
|
"eval_runtime": 3.0124, |
|
"eval_samples_per_second": 106.229, |
|
"eval_steps_per_second": 3.32, |
|
"step": 180 |
|
}, |
|
{ |
|
"epoch": 19.0, |
|
"grad_norm": 7.001428604125977, |
|
"learning_rate": 2.777777777777778e-06, |
|
"loss": 0.3576, |
|
"step": 190 |
|
}, |
|
{ |
|
"epoch": 19.0, |
|
"eval_accuracy": 0.878125, |
|
"eval_loss": 0.33071213960647583, |
|
"eval_runtime": 2.9125, |
|
"eval_samples_per_second": 109.87, |
|
"eval_steps_per_second": 3.433, |
|
"step": 190 |
|
}, |
|
{ |
|
"epoch": 20.0, |
|
"grad_norm": 5.229546070098877, |
|
"learning_rate": 0.0, |
|
"loss": 0.3532, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 20.0, |
|
"eval_accuracy": 0.878125, |
|
"eval_loss": 0.3238596022129059, |
|
"eval_runtime": 2.976, |
|
"eval_samples_per_second": 107.525, |
|
"eval_steps_per_second": 3.36, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 20.0, |
|
"step": 200, |
|
"total_flos": 8.32925255860224e+17, |
|
"train_loss": 0.5535187506675721, |
|
"train_runtime": 481.721, |
|
"train_samples_per_second": 53.143, |
|
"train_steps_per_second": 0.415 |
|
} |
|
], |
|
"logging_steps": 10, |
|
"max_steps": 200, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 20, |
|
"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": 8.32925255860224e+17, |
|
"train_batch_size": 32, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|