sayakpaul/glpn-nyu-finetuned-diode-221122-082237

77次阅读

sayakpaul/glpn-nyu-finetuned-diode-221122-082237


glpn-nyu-finetuned-diode-221122-082237

This model is a fine-tuned version of vinvino02/glpn-nyu on the diode-subset dataset.
It achieves the following results on the evaluation set:

  • Loss: 0.3421
  • Mae: 0.2700
  • Rmse: 0.4042
  • Abs Rel: 0.3279
  • Log Mae: 0.1132
  • Log Rmse: 0.1688
  • Delta1: 0.5839
  • Delta2: 0.8408
  • Delta3: 0.9309


Model description

More information needed


Intended uses & limitations

More information needed


Training and evaluation data

More information needed


Training procedure


Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 2e-05
  • train_batch_size: 24
  • eval_batch_size: 48
  • seed: 2022
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.2
  • num_epochs: 15
  • mixed_precision_training: Native AMP


Training results

Training Loss Epoch Step Validation Loss Mae Rmse Abs Rel Log Mae Log Rmse Delta1 Delta2 Delta3
0.7577 1.0 72 0.5814 0.7579 0.9267 0.9816 0.2592 0.3062 0.1341 0.3276 0.6248
0.4447 2.0 144 0.3947 0.3412 0.4785 0.4051 0.1381 0.1912 0.4585 0.7697 0.9072
0.4034 3.0 216 0.3657 0.2988 0.4357 0.3629 0.1242 0.1802 0.5321 0.8054 0.9202
0.3726 4.0 288 0.3576 0.2896 0.4176 0.3647 0.1215 0.1769 0.5376 0.8178 0.9270
0.3656 5.0 360 0.3547 0.2818 0.4098 0.3504 0.1186 0.1732 0.5551 0.8225 0.9283
0.3211 6.0 432 0.3495 0.2743 0.4160 0.3250 0.1155 0.1708 0.5773 0.8317 0.9258
0.3027 7.0 504 0.3471 0.2724 0.4123 0.3226 0.1146 0.1695 0.5801 0.8345 0.9283
0.2438 8.0 576 0.3494 0.2735 0.4097 0.3304 0.1157 0.1708 0.5741 0.8328 0.9267
0.2512 9.0 648 0.3448 0.2700 0.4121 0.3160 0.1134 0.1683 0.5880 0.8395 0.9266
0.2416 10.0 720 0.3439 0.2688 0.4017 0.3255 0.1135 0.1682 0.5781 0.8397 0.9324
0.1971 11.0 792 0.3456 0.2730 0.4059 0.3348 0.1148 0.1703 0.5730 0.8370 0.9305
0.2382 12.0 864 0.3446 0.2708 0.4069 0.3283 0.1139 0.1696 0.5818 0.8394 0.9295
0.237 13.0 936 0.3417 0.2674 0.4038 0.3218 0.1123 0.1680 0.5901 0.8424 0.9307
0.2378 14.0 1008 0.3421 0.2686 0.4030 0.3241 0.1130 0.1683 0.5852 0.8408 0.9311
0.2409 15.0 1080 0.3421 0.2700 0.4042 0.3279 0.1132 0.1688 0.5839 0.8408 0.9309

前往AI网址导航

正文完
 0
微草录
版权声明:本站原创文章,由 微草录 于2024-01-02发表,共计1803字。
转载说明:除特殊说明外本站文章皆由CC-4.0协议发布,转载请注明出处。