File size: 2,144 Bytes
913a86d |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 |
{
"best_metric": 0.7363636363636363,
"best_model_checkpoint": "/content/drive/MyDrive/Colab Notebooks/Classification/ViT/models/resnet-18-finetuned-eurosat/checkpoint-60",
"epoch": 2.962962962962963,
"global_step": 60,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.49,
"learning_rate": 4.62962962962963e-05,
"loss": 1.5049,
"step": 10
},
{
"epoch": 0.99,
"learning_rate": 3.7037037037037037e-05,
"loss": 1.0134,
"step": 20
},
{
"epoch": 0.99,
"eval_accuracy": 0.7181818181818181,
"eval_loss": 0.8097589612007141,
"eval_runtime": 47.6432,
"eval_samples_per_second": 6.926,
"eval_steps_per_second": 0.231,
"step": 20
},
{
"epoch": 1.48,
"learning_rate": 2.777777777777778e-05,
"loss": 0.7626,
"step": 30
},
{
"epoch": 1.98,
"learning_rate": 1.8518518518518518e-05,
"loss": 0.7499,
"step": 40
},
{
"epoch": 1.98,
"eval_accuracy": 0.7303030303030303,
"eval_loss": 0.7300636768341064,
"eval_runtime": 45.6041,
"eval_samples_per_second": 7.236,
"eval_steps_per_second": 0.241,
"step": 40
},
{
"epoch": 2.47,
"learning_rate": 9.259259259259259e-06,
"loss": 0.648,
"step": 50
},
{
"epoch": 2.96,
"learning_rate": 0.0,
"loss": 0.713,
"step": 60
},
{
"epoch": 2.96,
"eval_accuracy": 0.7363636363636363,
"eval_loss": 0.6868019104003906,
"eval_runtime": 45.9734,
"eval_samples_per_second": 7.178,
"eval_steps_per_second": 0.239,
"step": 60
},
{
"epoch": 2.96,
"step": 60,
"total_flos": 7.69561679426642e+16,
"train_loss": 0.898623005549113,
"train_runtime": 1199.6133,
"train_samples_per_second": 6.41,
"train_steps_per_second": 0.05
}
],
"max_steps": 60,
"num_train_epochs": 3,
"total_flos": 7.69561679426642e+16,
"trial_name": null,
"trial_params": null
}
|