File size: 4,054 Bytes
bbb0a49 |
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": 0.4104,
"best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_dino-vitb16/model_idx_0511/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": 17.064165115356445,
"learning_rate": 0.0004813069041765065,
"loss": 3.4481,
"step": 333
},
{
"epoch": 1.0,
"eval_accuracy": 0.1848,
"eval_loss": 3.0484354496002197,
"eval_runtime": 7.0125,
"eval_samples_per_second": 534.76,
"eval_steps_per_second": 8.414,
"step": 333
},
{
"epoch": 2.0,
"grad_norm": 23.38719367980957,
"learning_rate": 0.00042740099352256953,
"loss": 2.9512,
"step": 666
},
{
"epoch": 2.0,
"eval_accuracy": 0.24746666666666667,
"eval_loss": 2.793703556060791,
"eval_runtime": 6.8491,
"eval_samples_per_second": 547.518,
"eval_steps_per_second": 8.614,
"step": 666
},
{
"epoch": 3.0,
"grad_norm": 14.753612518310547,
"learning_rate": 0.0003464873897488322,
"loss": 2.7578,
"step": 999
},
{
"epoch": 3.0,
"eval_accuracy": 0.26426666666666665,
"eval_loss": 2.6992316246032715,
"eval_runtime": 6.871,
"eval_samples_per_second": 545.776,
"eval_steps_per_second": 8.587,
"step": 999
},
{
"epoch": 4.0,
"grad_norm": 17.272911071777344,
"learning_rate": 0.00025088445554620134,
"loss": 2.5883,
"step": 1332
},
{
"epoch": 4.0,
"eval_accuracy": 0.32426666666666665,
"eval_loss": 2.4748411178588867,
"eval_runtime": 6.8981,
"eval_samples_per_second": 543.626,
"eval_steps_per_second": 8.553,
"step": 1332
},
{
"epoch": 5.0,
"grad_norm": 62.98331832885742,
"learning_rate": 0.00015514687100427082,
"loss": 2.3845,
"step": 1665
},
{
"epoch": 5.0,
"eval_accuracy": 0.34586666666666666,
"eval_loss": 2.36236310005188,
"eval_runtime": 7.7373,
"eval_samples_per_second": 484.663,
"eval_steps_per_second": 7.625,
"step": 1665
},
{
"epoch": 6.0,
"grad_norm": 41.5197868347168,
"learning_rate": 7.384981550618446e-05,
"loss": 2.2009,
"step": 1998
},
{
"epoch": 6.0,
"eval_accuracy": 0.37866666666666665,
"eval_loss": 2.238170623779297,
"eval_runtime": 6.8327,
"eval_samples_per_second": 548.83,
"eval_steps_per_second": 8.635,
"step": 1998
},
{
"epoch": 7.0,
"grad_norm": 26.711387634277344,
"learning_rate": 1.9370028791882848e-05,
"loss": 2.0175,
"step": 2331
},
{
"epoch": 7.0,
"eval_accuracy": 0.40586666666666665,
"eval_loss": 2.158369302749634,
"eval_runtime": 7.1061,
"eval_samples_per_second": 527.712,
"eval_steps_per_second": 8.303,
"step": 2331
},
{
"epoch": 8.0,
"grad_norm": 24.51226043701172,
"learning_rate": 1.5645281219167639e-09,
"loss": 1.9066,
"step": 2664
},
{
"epoch": 8.0,
"eval_accuracy": 0.4104,
"eval_loss": 2.153048038482666,
"eval_runtime": 6.7887,
"eval_samples_per_second": 552.387,
"eval_steps_per_second": 8.691,
"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
}
|