|
{ |
|
"best_metric": 0.9310344827586207, |
|
"best_model_checkpoint": "segformer-class-classWeights-augmentation/checkpoint-40", |
|
"epoch": 8.88888888888889, |
|
"global_step": 60, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.89, |
|
"eval_accuracy": 0.5862068965517241, |
|
"eval_loss": 1.0178804397583008, |
|
"eval_runtime": 1.1426, |
|
"eval_samples_per_second": 25.38, |
|
"eval_steps_per_second": 2.626, |
|
"step": 6 |
|
}, |
|
{ |
|
"epoch": 1.48, |
|
"learning_rate": 4.62962962962963e-05, |
|
"loss": 0.9897, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 1.93, |
|
"eval_accuracy": 0.7241379310344828, |
|
"eval_loss": 0.760027289390564, |
|
"eval_runtime": 0.8084, |
|
"eval_samples_per_second": 35.874, |
|
"eval_steps_per_second": 3.711, |
|
"step": 13 |
|
}, |
|
{ |
|
"epoch": 2.96, |
|
"learning_rate": 3.7037037037037037e-05, |
|
"loss": 0.5848, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 2.96, |
|
"eval_accuracy": 0.5862068965517241, |
|
"eval_loss": 0.8368268609046936, |
|
"eval_runtime": 1.6581, |
|
"eval_samples_per_second": 17.49, |
|
"eval_steps_per_second": 1.809, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.8620689655172413, |
|
"eval_loss": 0.4708000719547272, |
|
"eval_runtime": 0.8189, |
|
"eval_samples_per_second": 35.414, |
|
"eval_steps_per_second": 3.663, |
|
"step": 27 |
|
}, |
|
{ |
|
"epoch": 4.44, |
|
"learning_rate": 2.777777777777778e-05, |
|
"loss": 0.2747, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 4.89, |
|
"eval_accuracy": 0.896551724137931, |
|
"eval_loss": 0.37271812558174133, |
|
"eval_runtime": 0.8067, |
|
"eval_samples_per_second": 35.951, |
|
"eval_steps_per_second": 3.719, |
|
"step": 33 |
|
}, |
|
{ |
|
"epoch": 5.93, |
|
"learning_rate": 1.8518518518518518e-05, |
|
"loss": 0.2259, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 5.93, |
|
"eval_accuracy": 0.9310344827586207, |
|
"eval_loss": 0.3100181221961975, |
|
"eval_runtime": 1.1422, |
|
"eval_samples_per_second": 25.389, |
|
"eval_steps_per_second": 2.626, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 6.96, |
|
"eval_accuracy": 0.9310344827586207, |
|
"eval_loss": 0.22938820719718933, |
|
"eval_runtime": 0.7944, |
|
"eval_samples_per_second": 36.504, |
|
"eval_steps_per_second": 3.776, |
|
"step": 47 |
|
}, |
|
{ |
|
"epoch": 7.41, |
|
"learning_rate": 9.259259259259259e-06, |
|
"loss": 0.1596, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"eval_accuracy": 0.896551724137931, |
|
"eval_loss": 0.26314061880111694, |
|
"eval_runtime": 1.212, |
|
"eval_samples_per_second": 23.927, |
|
"eval_steps_per_second": 2.475, |
|
"step": 54 |
|
}, |
|
{ |
|
"epoch": 8.89, |
|
"learning_rate": 0.0, |
|
"loss": 0.1844, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 8.89, |
|
"eval_accuracy": 0.9310344827586207, |
|
"eval_loss": 0.26064130663871765, |
|
"eval_runtime": 0.8176, |
|
"eval_samples_per_second": 35.469, |
|
"eval_steps_per_second": 3.669, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 8.89, |
|
"step": 60, |
|
"total_flos": 5.786635923932774e+16, |
|
"train_loss": 0.40318952401479086, |
|
"train_runtime": 239.9675, |
|
"train_samples_per_second": 10.876, |
|
"train_steps_per_second": 0.25 |
|
} |
|
], |
|
"max_steps": 60, |
|
"num_train_epochs": 10, |
|
"total_flos": 5.786635923932774e+16, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|