File size: 4,055 Bytes
62f5074 |
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": 0.9394666666666667,
"best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_dino-vitb16/model_idx_0544/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": Infinity,
"learning_rate": 4.811948852959657e-05,
"loss": 0.7717,
"step": 333
},
{
"epoch": 1.0,
"eval_accuracy": 0.8704,
"eval_loss": 0.4106404185295105,
"eval_runtime": 10.7863,
"eval_samples_per_second": 347.663,
"eval_steps_per_second": 5.47,
"step": 333
},
{
"epoch": 2.0,
"grad_norm": 0.31267049908638,
"learning_rate": 4.271931404387096e-05,
"loss": 0.1948,
"step": 666
},
{
"epoch": 2.0,
"eval_accuracy": 0.8936,
"eval_loss": 0.34222403168678284,
"eval_runtime": 11.1114,
"eval_samples_per_second": 337.493,
"eval_steps_per_second": 5.31,
"step": 666
},
{
"epoch": 3.0,
"grad_norm": 27.245376586914062,
"learning_rate": 3.4621534620947785e-05,
"loss": 0.0899,
"step": 999
},
{
"epoch": 3.0,
"eval_accuracy": 0.9104,
"eval_loss": 0.3417433798313141,
"eval_runtime": 11.5225,
"eval_samples_per_second": 325.451,
"eval_steps_per_second": 5.12,
"step": 999
},
{
"epoch": 4.0,
"grad_norm": 0.7824826836585999,
"learning_rate": 2.5058963771413844e-05,
"loss": 0.0406,
"step": 1332
},
{
"epoch": 4.0,
"eval_accuracy": 0.9162666666666667,
"eval_loss": 0.3153071403503418,
"eval_runtime": 10.3598,
"eval_samples_per_second": 361.978,
"eval_steps_per_second": 5.695,
"step": 1332
},
{
"epoch": 5.0,
"grad_norm": 0.0011729048565030098,
"learning_rate": 1.5487416222190068e-05,
"loss": 0.0111,
"step": 1665
},
{
"epoch": 5.0,
"eval_accuracy": 0.9298666666666666,
"eval_loss": 0.28869935870170593,
"eval_runtime": 10.8782,
"eval_samples_per_second": 344.727,
"eval_steps_per_second": 5.424,
"step": 1665
},
{
"epoch": 6.0,
"grad_norm": 0.0010228686733171344,
"learning_rate": 7.36407332135117e-06,
"loss": 0.0021,
"step": 1998
},
{
"epoch": 6.0,
"eval_accuracy": 0.9370666666666667,
"eval_loss": 0.28418704867362976,
"eval_runtime": 10.5461,
"eval_samples_per_second": 355.583,
"eval_steps_per_second": 5.595,
"step": 1998
},
{
"epoch": 7.0,
"grad_norm": 0.0012757960939779878,
"learning_rate": 1.925640387263111e-06,
"loss": 0.0004,
"step": 2331
},
{
"epoch": 7.0,
"eval_accuracy": 0.9392,
"eval_loss": 0.2871142029762268,
"eval_runtime": 10.0939,
"eval_samples_per_second": 371.512,
"eval_steps_per_second": 5.845,
"step": 2331
},
{
"epoch": 8.0,
"grad_norm": 0.0021611531265079975,
"learning_rate": 6.953462348691098e-11,
"loss": 0.0001,
"step": 2664
},
{
"epoch": 8.0,
"eval_accuracy": 0.9394666666666667,
"eval_loss": 0.2869276702404022,
"eval_runtime": 10.0914,
"eval_samples_per_second": 371.604,
"eval_steps_per_second": 5.847,
"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
}
|