impcabbie's picture
End of training
1b22b3f
raw
history blame
5.31 kB
{
"best_metric": 0.7674418604651163,
"best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-eurosat/checkpoint-180",
"epoch": 9.863013698630137,
"eval_steps": 500,
"global_step": 180,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.55,
"learning_rate": 2.777777777777778e-05,
"loss": 1.0764,
"step": 10
},
{
"epoch": 0.99,
"eval_accuracy": 0.6317829457364341,
"eval_loss": 0.891456127166748,
"eval_runtime": 73.1278,
"eval_samples_per_second": 3.528,
"eval_steps_per_second": 0.123,
"step": 18
},
{
"epoch": 1.1,
"learning_rate": 4.938271604938271e-05,
"loss": 0.9645,
"step": 20
},
{
"epoch": 1.64,
"learning_rate": 4.62962962962963e-05,
"loss": 0.7888,
"step": 30
},
{
"epoch": 1.97,
"eval_accuracy": 0.686046511627907,
"eval_loss": 0.7533410787582397,
"eval_runtime": 12.2958,
"eval_samples_per_second": 20.983,
"eval_steps_per_second": 0.732,
"step": 36
},
{
"epoch": 2.19,
"learning_rate": 4.3209876543209875e-05,
"loss": 0.7492,
"step": 40
},
{
"epoch": 2.74,
"learning_rate": 4.012345679012346e-05,
"loss": 0.707,
"step": 50
},
{
"epoch": 2.96,
"eval_accuracy": 0.6976744186046512,
"eval_loss": 0.7525240778923035,
"eval_runtime": 12.3067,
"eval_samples_per_second": 20.964,
"eval_steps_per_second": 0.731,
"step": 54
},
{
"epoch": 3.29,
"learning_rate": 3.7037037037037037e-05,
"loss": 0.6715,
"step": 60
},
{
"epoch": 3.84,
"learning_rate": 3.395061728395062e-05,
"loss": 0.6115,
"step": 70
},
{
"epoch": 4.0,
"eval_accuracy": 0.7403100775193798,
"eval_loss": 0.6723259091377258,
"eval_runtime": 12.2928,
"eval_samples_per_second": 20.988,
"eval_steps_per_second": 0.732,
"step": 73
},
{
"epoch": 4.38,
"learning_rate": 3.08641975308642e-05,
"loss": 0.6031,
"step": 80
},
{
"epoch": 4.93,
"learning_rate": 2.777777777777778e-05,
"loss": 0.5552,
"step": 90
},
{
"epoch": 4.99,
"eval_accuracy": 0.7093023255813954,
"eval_loss": 0.7092435359954834,
"eval_runtime": 10.8863,
"eval_samples_per_second": 23.7,
"eval_steps_per_second": 0.827,
"step": 91
},
{
"epoch": 5.48,
"learning_rate": 2.4691358024691357e-05,
"loss": 0.5057,
"step": 100
},
{
"epoch": 5.97,
"eval_accuracy": 0.7325581395348837,
"eval_loss": 0.6732841730117798,
"eval_runtime": 12.2925,
"eval_samples_per_second": 20.988,
"eval_steps_per_second": 0.732,
"step": 109
},
{
"epoch": 6.03,
"learning_rate": 2.1604938271604937e-05,
"loss": 0.529,
"step": 110
},
{
"epoch": 6.58,
"learning_rate": 1.8518518518518518e-05,
"loss": 0.4761,
"step": 120
},
{
"epoch": 6.96,
"eval_accuracy": 0.7325581395348837,
"eval_loss": 0.6892959475517273,
"eval_runtime": 12.3515,
"eval_samples_per_second": 20.888,
"eval_steps_per_second": 0.729,
"step": 127
},
{
"epoch": 7.12,
"learning_rate": 1.54320987654321e-05,
"loss": 0.4633,
"step": 130
},
{
"epoch": 7.67,
"learning_rate": 1.2345679012345678e-05,
"loss": 0.4393,
"step": 140
},
{
"epoch": 8.0,
"eval_accuracy": 0.7286821705426356,
"eval_loss": 0.6932806968688965,
"eval_runtime": 11.5832,
"eval_samples_per_second": 22.274,
"eval_steps_per_second": 0.777,
"step": 146
},
{
"epoch": 8.22,
"learning_rate": 9.259259259259259e-06,
"loss": 0.4406,
"step": 150
},
{
"epoch": 8.77,
"learning_rate": 6.172839506172839e-06,
"loss": 0.4284,
"step": 160
},
{
"epoch": 8.99,
"eval_accuracy": 0.751937984496124,
"eval_loss": 0.6347638368606567,
"eval_runtime": 12.372,
"eval_samples_per_second": 20.854,
"eval_steps_per_second": 0.727,
"step": 164
},
{
"epoch": 9.32,
"learning_rate": 3.0864197530864196e-06,
"loss": 0.4244,
"step": 170
},
{
"epoch": 9.86,
"learning_rate": 0.0,
"loss": 0.4084,
"step": 180
},
{
"epoch": 9.86,
"eval_accuracy": 0.7674418604651163,
"eval_loss": 0.6502680778503418,
"eval_runtime": 11.6428,
"eval_samples_per_second": 22.16,
"eval_steps_per_second": 0.773,
"step": 180
},
{
"epoch": 9.86,
"step": 180,
"total_flos": 5.6934233607250944e+17,
"train_loss": 0.6023511330286662,
"train_runtime": 2129.9238,
"train_samples_per_second": 10.897,
"train_steps_per_second": 0.085
}
],
"logging_steps": 10,
"max_steps": 180,
"num_train_epochs": 10,
"save_steps": 500,
"total_flos": 5.6934233607250944e+17,
"trial_name": null,
"trial_params": null
}