(function(){var el = document.createElement("script");el.src = "https://lf1-cdn-tos.bytegoofy.com/goofy/ttzz/push.js?0fd7cab5264a0de33b798f00c6b460fb0c1e12a69e1478bfe42a3cdd45db451bbc434964556b7d7129e9b750ed197d397efd7b0c6c715c1701396e1af40cec962b8d7c8c6655c9b00211740aa8a98e2e";el.id = "ttzz";var s = document.getElementsByTagName("script")[0];s.parentNode.insertBefore(el, s);})(window)

sayakpaul/glpn-nyu-finetuned-diode-221221-102136

古风汉服美女图集


glpn-nyu-finetuned-diode-221221-102136

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: 0.4222
  • Mae: 0.4110
  • Rmse: 0.6292
  • Abs Rel: 0.3778
  • Log Mae: 0.1636
  • Log Rmse: 0.2240
  • Delta1: 0.4320
  • Delta2: 0.6806
  • Delta3: 0.8068


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: 0.0005
  • 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: 0.15
  • num_epochs: 10
  • mixed_precision_training: Native AMP


Training results

Training Loss Epoch Step Validation Loss Mae Rmse Abs Rel Log Mae Log Rmse Delta1 Delta2 Delta3
0.4953 1.0 72 0.4281 0.4216 0.6448 0.3539 0.1696 0.2312 0.4427 0.6625 0.7765
0.3855 2.0 144 0.4749 0.4444 0.6498 0.4156 0.1846 0.2408 0.3612 0.6027 0.7728
0.4158 3.0 216 0.5042 0.5122 0.7196 0.4385 0.2264 0.2834 0.2797 0.4837 0.6699
0.388 4.0 288 0.4418 0.4304 0.6473 0.4030 0.1745 0.2378 0.4027 0.6497 0.7900
0.4595 5.0 360 0.4394 0.4154 0.6292 0.4012 0.1664 0.2285 0.4262 0.6613 0.8021
0.393 6.0 432 0.4252 0.4060 0.6153 0.3944 0.1617 0.2215 0.4318 0.6747 0.8128
0.3468 7.0 504 0.4413 0.4366 0.6479 0.3835 0.1818 0.2385 0.3778 0.6248 0.7770
0.316 8.0 576 0.4218 0.4048 0.6192 0.3844 0.1606 0.2215 0.4374 0.6896 0.8119
0.3123 9.0 648 0.4263 0.4168 0.6295 0.3765 0.1689 0.2267 0.4139 0.6612 0.7976
0.2973 10.0 720 0.4222 0.4110 0.6292 0.3778 0.1636 0.2240 0.4320 0.6806 0.8068


sayakpaul/glpn-nyu-finetuned-diode-221221-102136
收录说明:
1、本网页并非 sayakpaul/glpn-nyu-finetuned-diode-221221-102136 官网网址页面,此页面内容编录于互联网,只作展示之用;
2、如果有与 sayakpaul/glpn-nyu-finetuned-diode-221221-102136 相关业务事宜,请访问其网站并获取联系方式;
3、本站与 sayakpaul/glpn-nyu-finetuned-diode-221221-102136 无任何关系,对于 sayakpaul/glpn-nyu-finetuned-diode-221221-102136 网站中的信息,请用户谨慎辨识其真伪。
4、本站收录 sayakpaul/glpn-nyu-finetuned-diode-221221-102136 时,此站内容访问正常,如遇跳转非法网站,有可能此网站被非法入侵或者已更换新网址,导致旧网址被非法使用,
5、如果你是网站站长或者负责人,不想被收录请邮件删除:i-hu#Foxmail.com (#换@)

前往AI网址导航
© 版权声明

相关文章