File size: 4,272 Bytes
e4b4b0d |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 |
{
"best_metric": 0.868,
"best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_vit-mae-base/model_idx_0125/checkpoints/checkpoint-2997",
"epoch": 9.0,
"eval_steps": 500,
"global_step": 2997,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"grad_norm": Infinity,
"learning_rate": 7e-05,
"loss": 1.7341,
"step": 333
},
{
"epoch": 1.0,
"eval_accuracy": 0.7970666666666667,
"eval_loss": 0.7307370901107788,
"eval_runtime": 6.0716,
"eval_samples_per_second": 617.634,
"eval_steps_per_second": 9.717,
"step": 333
},
{
"epoch": 2.0,
"grad_norm": Infinity,
"learning_rate": 7e-05,
"loss": 0.5469,
"step": 666
},
{
"epoch": 2.0,
"eval_accuracy": 0.8349333333333333,
"eval_loss": 0.5637804269790649,
"eval_runtime": 6.1356,
"eval_samples_per_second": 611.188,
"eval_steps_per_second": 9.616,
"step": 666
},
{
"epoch": 3.0,
"grad_norm": 1.5474292039871216,
"learning_rate": 7e-05,
"loss": 0.3544,
"step": 999
},
{
"epoch": 3.0,
"eval_accuracy": 0.8442666666666667,
"eval_loss": 0.5264011025428772,
"eval_runtime": 6.4896,
"eval_samples_per_second": 577.845,
"eval_steps_per_second": 9.091,
"step": 999
},
{
"epoch": 4.0,
"grad_norm": 64.49068450927734,
"learning_rate": 7e-05,
"loss": 0.2537,
"step": 1332
},
{
"epoch": 4.0,
"eval_accuracy": 0.8632,
"eval_loss": 0.44891634583473206,
"eval_runtime": 6.0344,
"eval_samples_per_second": 621.435,
"eval_steps_per_second": 9.777,
"step": 1332
},
{
"epoch": 5.0,
"grad_norm": 1.0308116674423218,
"learning_rate": 7e-05,
"loss": 0.1854,
"step": 1665
},
{
"epoch": 5.0,
"eval_accuracy": 0.8648,
"eval_loss": 0.4552401602268219,
"eval_runtime": 6.0753,
"eval_samples_per_second": 617.254,
"eval_steps_per_second": 9.711,
"step": 1665
},
{
"epoch": 6.0,
"grad_norm": 1.8763220310211182,
"learning_rate": 7e-05,
"loss": 0.1437,
"step": 1998
},
{
"epoch": 6.0,
"eval_accuracy": 0.8530666666666666,
"eval_loss": 0.4950791597366333,
"eval_runtime": 6.5524,
"eval_samples_per_second": 572.313,
"eval_steps_per_second": 9.004,
"step": 1998
},
{
"epoch": 7.0,
"grad_norm": 0.04716915264725685,
"learning_rate": 7e-05,
"loss": 0.1269,
"step": 2331
},
{
"epoch": 7.0,
"eval_accuracy": 0.8629333333333333,
"eval_loss": 0.4925222098827362,
"eval_runtime": 7.5082,
"eval_samples_per_second": 499.456,
"eval_steps_per_second": 7.858,
"step": 2331
},
{
"epoch": 8.0,
"grad_norm": 0.036299414932727814,
"learning_rate": 7e-05,
"loss": 0.105,
"step": 2664
},
{
"epoch": 8.0,
"eval_accuracy": 0.8592,
"eval_loss": 0.5248702764511108,
"eval_runtime": 7.1166,
"eval_samples_per_second": 526.935,
"eval_steps_per_second": 8.29,
"step": 2664
},
{
"epoch": 9.0,
"grad_norm": 0.6750072836875916,
"learning_rate": 7e-05,
"loss": 0.0887,
"step": 2997
},
{
"epoch": 9.0,
"eval_accuracy": 0.868,
"eval_loss": 0.5103010535240173,
"eval_runtime": 6.5343,
"eval_samples_per_second": 573.898,
"eval_steps_per_second": 9.029,
"step": 2997
}
],
"logging_steps": 500,
"max_steps": 2997,
"num_input_tokens_seen": 0,
"num_train_epochs": 9,
"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": 1.482671885603328e+19,
"train_batch_size": 64,
"trial_name": null,
"trial_params": null
}
|