File size: 3,209 Bytes
e9d1582 |
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 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 |
{
"best_metric": 1.0,
"best_model_checkpoint": "google/vit-base-patch16-224-in21k_vegetables_classification/checkpoint-2814",
"epoch": 3.0,
"global_step": 2814,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.0,
"learning_rate": 0.00019992892679459844,
"loss": 2.7327,
"step": 1
},
{
"epoch": 0.53,
"learning_rate": 0.0001644633972992182,
"loss": 0.2079,
"step": 500
},
{
"epoch": 1.0,
"eval_Macro F1": 0.9959973769363069,
"eval_Macro Precision": 0.9960145106065282,
"eval_Macro Recall": 0.9959999999999999,
"eval_Micro F1": 0.996,
"eval_Micro Precision": 0.996,
"eval_Micro Recall": 0.996,
"eval_Weighted F1": 0.9959973769363069,
"eval_Weighted Precision": 0.9960145106065283,
"eval_Weighted Recall": 0.996,
"eval_accuracy": 0.996,
"eval_loss": 0.019310180097818375,
"eval_runtime": 2683.3608,
"eval_samples_per_second": 1.118,
"eval_steps_per_second": 0.14,
"step": 938
},
{
"epoch": 1.07,
"learning_rate": 0.00012892679459843638,
"loss": 0.0308,
"step": 1000
},
{
"epoch": 1.6,
"learning_rate": 9.339019189765458e-05,
"loss": 0.0154,
"step": 1500
},
{
"epoch": 2.0,
"eval_Macro F1": 0.9986658207966397,
"eval_Macro Precision": 0.9986716417910447,
"eval_Macro Recall": 0.9986666666666666,
"eval_Micro F1": 0.9986666666666667,
"eval_Micro Precision": 0.9986666666666667,
"eval_Micro Recall": 0.9986666666666667,
"eval_Weighted F1": 0.9986658207966396,
"eval_Weighted Precision": 0.9986716417910447,
"eval_Weighted Recall": 0.9986666666666667,
"eval_accuracy": 0.9986666666666667,
"eval_loss": 0.006775494199246168,
"eval_runtime": 2708.2412,
"eval_samples_per_second": 1.108,
"eval_steps_per_second": 0.138,
"step": 1876
},
{
"epoch": 2.13,
"learning_rate": 5.785358919687278e-05,
"loss": 0.0043,
"step": 2000
},
{
"epoch": 2.67,
"learning_rate": 2.2316986496090973e-05,
"loss": 0.0018,
"step": 2500
},
{
"epoch": 3.0,
"eval_Macro F1": 1.0,
"eval_Macro Precision": 1.0,
"eval_Macro Recall": 1.0,
"eval_Micro F1": 1.0,
"eval_Micro Precision": 1.0,
"eval_Micro Recall": 1.0,
"eval_Weighted F1": 1.0,
"eval_Weighted Precision": 1.0,
"eval_Weighted Recall": 1.0,
"eval_accuracy": 1.0,
"eval_loss": 0.0014102862915024161,
"eval_runtime": 2685.9046,
"eval_samples_per_second": 1.117,
"eval_steps_per_second": 0.14,
"step": 2814
},
{
"epoch": 3.0,
"step": 2814,
"total_flos": 3.48754583632896e+18,
"train_loss": 0.047539065705179406,
"train_runtime": 128292.8579,
"train_samples_per_second": 0.351,
"train_steps_per_second": 0.022
}
],
"max_steps": 2814,
"num_train_epochs": 3,
"total_flos": 3.48754583632896e+18,
"trial_name": null,
"trial_params": null
}
|