File size: 4,063 Bytes
fc207cc |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 |
{
"best_metric": 0.9533333333333334,
"best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/google_vit-base-patch16-224/model_idx_0742/checkpoints/checkpoint-2664",
"epoch": 8.0,
"eval_steps": 500,
"global_step": 2664,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"grad_norm": 0.49540460109710693,
"learning_rate": 8.657457896300791e-05,
"loss": 0.6318,
"step": 333
},
{
"epoch": 1.0,
"eval_accuracy": 0.9349333333333333,
"eval_loss": 0.24303771555423737,
"eval_runtime": 12.6458,
"eval_samples_per_second": 296.541,
"eval_steps_per_second": 4.666,
"step": 333
},
{
"epoch": 2.0,
"grad_norm": 1.3447047472000122,
"learning_rate": 7.681980515339464e-05,
"loss": 0.1179,
"step": 666
},
{
"epoch": 2.0,
"eval_accuracy": 0.944,
"eval_loss": 0.20592908561229706,
"eval_runtime": 12.4857,
"eval_samples_per_second": 300.344,
"eval_steps_per_second": 4.725,
"step": 666
},
{
"epoch": 3.0,
"grad_norm": 0.05165191739797592,
"learning_rate": 6.222075445642905e-05,
"loss": 0.0469,
"step": 999
},
{
"epoch": 3.0,
"eval_accuracy": 0.9378666666666666,
"eval_loss": 0.22994576394557953,
"eval_runtime": 12.4303,
"eval_samples_per_second": 301.683,
"eval_steps_per_second": 4.746,
"step": 999
},
{
"epoch": 4.0,
"grad_norm": 4.704019546508789,
"learning_rate": 4.5e-05,
"loss": 0.0192,
"step": 1332
},
{
"epoch": 4.0,
"eval_accuracy": 0.9461333333333334,
"eval_loss": 0.20835979282855988,
"eval_runtime": 12.8254,
"eval_samples_per_second": 292.389,
"eval_steps_per_second": 4.6,
"step": 1332
},
{
"epoch": 5.0,
"grad_norm": 0.05869955196976662,
"learning_rate": 2.7779245543570963e-05,
"loss": 0.0047,
"step": 1665
},
{
"epoch": 5.0,
"eval_accuracy": 0.9509333333333333,
"eval_loss": 0.20348839461803436,
"eval_runtime": 12.4942,
"eval_samples_per_second": 300.14,
"eval_steps_per_second": 4.722,
"step": 1665
},
{
"epoch": 6.0,
"grad_norm": 0.0426449179649353,
"learning_rate": 1.3180194846605365e-05,
"loss": 0.0021,
"step": 1998
},
{
"epoch": 6.0,
"eval_accuracy": 0.9504,
"eval_loss": 0.20653191208839417,
"eval_runtime": 11.6776,
"eval_samples_per_second": 321.126,
"eval_steps_per_second": 5.052,
"step": 1998
},
{
"epoch": 7.0,
"grad_norm": NaN,
"learning_rate": 3.4457579724370674e-06,
"loss": 0.0014,
"step": 2331
},
{
"epoch": 7.0,
"eval_accuracy": 0.9514666666666667,
"eval_loss": 0.2031608372926712,
"eval_runtime": 12.5112,
"eval_samples_per_second": 299.73,
"eval_steps_per_second": 4.716,
"step": 2331
},
{
"epoch": 8.0,
"grad_norm": 0.016280239447951317,
"learning_rate": 3.12905914479078e-11,
"loss": 0.0012,
"step": 2664
},
{
"epoch": 8.0,
"eval_accuracy": 0.9533333333333334,
"eval_loss": 0.20442259311676025,
"eval_runtime": 12.5656,
"eval_samples_per_second": 298.434,
"eval_steps_per_second": 4.695,
"step": 2664
}
],
"logging_steps": 500,
"max_steps": 2664,
"num_input_tokens_seen": 0,
"num_train_epochs": 8,
"save_steps": 500,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 1.317930564980736e+19,
"train_batch_size": 64,
"trial_name": null,
"trial_params": null
}
|