|
{ |
|
"best_metric": 0.040785256773233414, |
|
"best_model_checkpoint": "./vit-base-beans/checkpoint-100", |
|
"epoch": 4.0, |
|
"eval_steps": 100, |
|
"global_step": 260, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.15, |
|
"learning_rate": 0.00019230769230769233, |
|
"loss": 0.8157, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.31, |
|
"learning_rate": 0.00018461538461538463, |
|
"loss": 0.2831, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.46, |
|
"learning_rate": 0.00017692307692307693, |
|
"loss": 0.3068, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 0.62, |
|
"learning_rate": 0.00016923076923076923, |
|
"loss": 0.1716, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 0.77, |
|
"learning_rate": 0.00016153846153846155, |
|
"loss": 0.1635, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 0.92, |
|
"learning_rate": 0.00015384615384615385, |
|
"loss": 0.2457, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 1.08, |
|
"learning_rate": 0.00014615384615384615, |
|
"loss": 0.1132, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 1.23, |
|
"learning_rate": 0.00013846153846153847, |
|
"loss": 0.1054, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 1.38, |
|
"learning_rate": 0.00013076923076923077, |
|
"loss": 0.0803, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 1.54, |
|
"learning_rate": 0.0001230769230769231, |
|
"loss": 0.1329, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 1.54, |
|
"eval_accuracy": 0.9924812030075187, |
|
"eval_loss": 0.040785256773233414, |
|
"eval_runtime": 2.0027, |
|
"eval_samples_per_second": 66.41, |
|
"eval_steps_per_second": 8.489, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 1.69, |
|
"learning_rate": 0.00011538461538461538, |
|
"loss": 0.1052, |
|
"step": 110 |
|
}, |
|
{ |
|
"epoch": 1.85, |
|
"learning_rate": 0.0001076923076923077, |
|
"loss": 0.0751, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"learning_rate": 0.0001, |
|
"loss": 0.107, |
|
"step": 130 |
|
}, |
|
{ |
|
"epoch": 2.15, |
|
"learning_rate": 9.230769230769232e-05, |
|
"loss": 0.0225, |
|
"step": 140 |
|
}, |
|
{ |
|
"epoch": 2.31, |
|
"learning_rate": 8.461538461538461e-05, |
|
"loss": 0.0506, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 2.46, |
|
"learning_rate": 7.692307692307693e-05, |
|
"loss": 0.018, |
|
"step": 160 |
|
}, |
|
{ |
|
"epoch": 2.62, |
|
"learning_rate": 6.923076923076924e-05, |
|
"loss": 0.0444, |
|
"step": 170 |
|
}, |
|
{ |
|
"epoch": 2.77, |
|
"learning_rate": 6.153846153846155e-05, |
|
"loss": 0.0305, |
|
"step": 180 |
|
}, |
|
{ |
|
"epoch": 2.92, |
|
"learning_rate": 5.384615384615385e-05, |
|
"loss": 0.0317, |
|
"step": 190 |
|
}, |
|
{ |
|
"epoch": 3.08, |
|
"learning_rate": 4.615384615384616e-05, |
|
"loss": 0.0169, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 3.08, |
|
"eval_accuracy": 0.9849624060150376, |
|
"eval_loss": 0.062186792492866516, |
|
"eval_runtime": 2.4481, |
|
"eval_samples_per_second": 54.328, |
|
"eval_steps_per_second": 6.944, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 3.23, |
|
"learning_rate": 3.846153846153846e-05, |
|
"loss": 0.0116, |
|
"step": 210 |
|
}, |
|
{ |
|
"epoch": 3.38, |
|
"learning_rate": 3.0769230769230774e-05, |
|
"loss": 0.0114, |
|
"step": 220 |
|
}, |
|
{ |
|
"epoch": 3.54, |
|
"learning_rate": 2.307692307692308e-05, |
|
"loss": 0.0297, |
|
"step": 230 |
|
}, |
|
{ |
|
"epoch": 3.69, |
|
"learning_rate": 1.5384615384615387e-05, |
|
"loss": 0.0105, |
|
"step": 240 |
|
}, |
|
{ |
|
"epoch": 3.85, |
|
"learning_rate": 7.692307692307694e-06, |
|
"loss": 0.0107, |
|
"step": 250 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"learning_rate": 0.0, |
|
"loss": 0.011, |
|
"step": 260 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"step": 260, |
|
"total_flos": 3.205097416476426e+17, |
|
"train_loss": 0.11557345737058383, |
|
"train_runtime": 138.3777, |
|
"train_samples_per_second": 29.889, |
|
"train_steps_per_second": 1.879 |
|
} |
|
], |
|
"logging_steps": 10, |
|
"max_steps": 260, |
|
"num_train_epochs": 4, |
|
"save_steps": 100, |
|
"total_flos": 3.205097416476426e+17, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|