File size: 4,482 Bytes
7500ac0 |
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": 0.44426666666666664,
"best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_dino-vitb16/model_idx_0876/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": 23.972213745117188,
"learning_rate": 0.0002911145304096916,
"loss": 3.4281,
"step": 333
},
{
"epoch": 1.0,
"eval_accuracy": 0.19386666666666666,
"eval_loss": 3.0675785541534424,
"eval_runtime": 11.8405,
"eval_samples_per_second": 316.71,
"eval_steps_per_second": 4.983,
"step": 333
},
{
"epoch": 2.0,
"grad_norm": 18.179256439208984,
"learning_rate": 0.00026520930752569493,
"loss": 2.8746,
"step": 666
},
{
"epoch": 2.0,
"eval_accuracy": 0.2504,
"eval_loss": 2.7793874740600586,
"eval_runtime": 11.6501,
"eval_samples_per_second": 321.885,
"eval_steps_per_second": 5.064,
"step": 666
},
{
"epoch": 3.0,
"grad_norm": 20.54439353942871,
"learning_rate": 0.00022540814184580826,
"loss": 2.6108,
"step": 999
},
{
"epoch": 3.0,
"eval_accuracy": 0.29706666666666665,
"eval_loss": 2.579789638519287,
"eval_runtime": 12.497,
"eval_samples_per_second": 300.072,
"eval_steps_per_second": 4.721,
"step": 999
},
{
"epoch": 4.0,
"grad_norm": 41.20870590209961,
"learning_rate": 0.00017651164135367125,
"loss": 2.3736,
"step": 1332
},
{
"epoch": 4.0,
"eval_accuracy": 0.34346666666666664,
"eval_loss": 2.4240145683288574,
"eval_runtime": 12.2817,
"eval_samples_per_second": 305.333,
"eval_steps_per_second": 4.804,
"step": 1332
},
{
"epoch": 5.0,
"grad_norm": 27.161012649536133,
"learning_rate": 0.00012441744564412654,
"loss": 2.1733,
"step": 1665
},
{
"epoch": 5.0,
"eval_accuracy": 0.3808,
"eval_loss": 2.265169858932495,
"eval_runtime": 12.2361,
"eval_samples_per_second": 306.471,
"eval_steps_per_second": 4.822,
"step": 1665
},
{
"epoch": 6.0,
"grad_norm": 25.194133758544922,
"learning_rate": 7.540888354819138e-05,
"loss": 1.9376,
"step": 1998
},
{
"epoch": 6.0,
"eval_accuracy": 0.42506666666666665,
"eval_loss": 2.1541152000427246,
"eval_runtime": 11.7925,
"eval_samples_per_second": 317.998,
"eval_steps_per_second": 5.003,
"step": 1998
},
{
"epoch": 7.0,
"grad_norm": 36.622493743896484,
"learning_rate": 3.5397110943979596e-05,
"loss": 1.6978,
"step": 2331
},
{
"epoch": 7.0,
"eval_accuracy": 0.4298666666666667,
"eval_loss": 2.110281229019165,
"eval_runtime": 11.803,
"eval_samples_per_second": 317.717,
"eval_steps_per_second": 4.999,
"step": 2331
},
{
"epoch": 8.0,
"grad_norm": 20.56290626525879,
"learning_rate": 9.20813811843163e-06,
"loss": 1.4752,
"step": 2664
},
{
"epoch": 8.0,
"eval_accuracy": 0.44053333333333333,
"eval_loss": 2.151519298553467,
"eval_runtime": 11.7022,
"eval_samples_per_second": 320.453,
"eval_steps_per_second": 5.042,
"step": 2664
},
{
"epoch": 9.0,
"grad_norm": 39.504180908203125,
"learning_rate": 7.417023831113311e-10,
"loss": 1.3405,
"step": 2997
},
{
"epoch": 9.0,
"eval_accuracy": 0.44426666666666664,
"eval_loss": 2.1652350425720215,
"eval_runtime": 16.3212,
"eval_samples_per_second": 229.762,
"eval_steps_per_second": 3.615,
"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
}
|