sayakpaul/glpn-nyu-finetuned-diode-221214-054706

2023-12-27 02:29 0 微浪网 0

AIGC网址导航

导语： glpn-nyu-finetuned-diode-22...,

Training Loss	Epoch	Step	Validation Loss	Mae	Rmse	Abs Rel	Log Mae	Log Rmse	Delta1	Delta2	Delta3
0.746	1.0	72	0.5730	0.7316	0.8964	0.9501	0.2530	0.3005	0.1427	0.3446	0.6453
0.4215	2.0	144	0.3764	0.3140	0.4548	0.3607	0.1286	0.1819	0.5054	0.7927	0.9161
0.3566	3.0	216	0.3568	0.2894	0.4226	0.3436	0.1206	0.1751	0.5475	0.8178	0.9257
0.322	4.0	288	0.3523	0.2818	0.4069	0.3541	0.1188	0.1740	0.5508	0.8219	0.9325
0.3066	5.0	360	0.3464	0.2777	0.4090	0.3283	0.1164	0.1695	0.5609	0.8328	0.9313
0.256	6.0	432	0.3384	0.2687	0.3927	0.3173	0.1136	0.1647	0.5665	0.8381	0.9394
0.2268	7.0	504	0.3407	0.2747	0.4138	0.3091	0.1143	0.1672	0.5716	0.8380	0.9322
0.1721	8.0	576	0.3346	0.2631	0.3850	0.3176	0.1108	0.1636	0.5804	0.8489	0.9452
0.1898	9.0	648	0.3362	0.2656	0.3994	0.3100	0.1112	0.1650	0.5910	0.8455	0.9368
0.1609	10.0	720	0.3355	0.2667	0.3866	0.3242	0.1124	0.1648	0.5693	0.8452	0.9433
0.139	11.0	792	0.3344	0.2660	0.3954	0.3115	0.1112	0.1639	0.5833	0.8453	0.9409
0.1772	12.0	864	0.3360	0.2667	0.3979	0.3137	0.1115	0.1650	0.5854	0.8449	0.9393
0.1631	13.0	936	0.3353	0.2652	0.3938	0.3134	0.1112	0.1645	0.5858	0.8451	0.9403
0.1736	14.0	1008	0.3367	0.2663	0.3954	0.3163	0.1117	0.1653	0.5840	0.8446	0.9391
0.1736	15.0	1080	0.3340	0.2649	0.3917	0.3138	0.1111	0.1640	0.5843	0.8459	0.9413

glpn-nyu-finetuned-diode-221214-054706

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: 0.3340

Mae: 0.2649

Rmse: 0.3917

Abs Rel: 0.3138

Log Mae: 0.1111

Log Rmse: 0.1640

Delta1: 0.5843

Delta2: 0.8459

Delta3: 0.9413

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

0.746 1.0 72 0.5730 0.7316 0.8964 0.9501 0.2530 0.3005 0.1427 0.3446 0.6453

0.4215 2.0 144 0.3764 0.3140 0.4548 0.3607 0.1286 0.1819 0.5054 0.7927 0.9161

0.3566 3.0 216 0.3568 0.2894 0.4226 0.3436 0.1206 0.1751 0.5475 0.8178 0.9257

0.322 4.0 288 0.3523 0.2818 0.4069 0.3541 0.1188 0.1740 0.5508 0.8219 0.9325

0.3066 5.0 360 0.3464 0.2777 0.4090 0.3283 0.1164 0.1695 0.5609 0.8328 0.9313

0.256 6.0 432 0.3384 0.2687 0.3927 0.3173 0.1136 0.1647 0.5665 0.8381 0.9394

0.2268 7.0 504 0.3407 0.2747 0.4138 0.3091 0.1143 0.1672 0.5716 0.8380 0.9322

0.1721 8.0 576 0.3346 0.2631 0.3850 0.3176 0.1108 0.1636 0.5804 0.8489 0.9452

0.1898 9.0 648 0.3362 0.2656 0.3994 0.3100 0.1112 0.1650 0.5910 0.8455 0.9368

0.1609 10.0 720 0.3355 0.2667 0.3866 0.3242 0.1124 0.1648 0.5693 0.8452 0.9433

0.139 11.0 792 0.3344 0.2660 0.3954 0.3115 0.1112 0.1639 0.5833 0.8453 0.9409

0.1772 12.0 864 0.3360 0.2667 0.3979 0.3137 0.1115 0.1650 0.5854 0.8449 0.9393

0.1631 13.0 936 0.3353 0.2652 0.3938 0.3134 0.1112 0.1645 0.5858 0.8451 0.9403

0.1736 14.0 1008 0.3367 0.2663 0.3954 0.3163 0.1117 0.1653 0.5840 0.8446 0.9391

0.1736 15.0 1080 0.3340 0.2649 0.3917 0.3138 0.1111 0.1640 0.5843 0.8459 0.9413

收录说明：
1、本网页并非 sayakpaul/glpn-nyu-finetuned-diode-221214-054706 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-221214-054706 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-221214-054706 无任何关系，对于 sayakpaul/glpn-nyu-finetuned-diode-221214-054706 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-221214-054706 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

1、本文来自 AIGC网址导航 投稿的内容 sayakpaul/glpn-nyu-finetuned-diode-221214-054706 ，所有言论和图片纯属作者个人意见，版权归原作者所有；不代表本站立场；
2、本站所有文章、图片、资源等如果未标明原创，均为收集自互联网公开资源；分享的图片、资源、视频等，出镜模特均为成年女性正常写真内容，版权归原作者所有，仅作为个人学习、研究以及欣赏！如有涉及下载请24小时内删除；
3、如果您发现本站上有侵犯您的权益的作品，请与我们取得联系，我们会及时修改、删除并致以最深的歉意。邮箱： i-hu#（#换@）foxmail.com

sayakpaul/glpn-nyu-finetuned-diode-221214-054706

glpn-nyu-finetuned-diode-221214-054706

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

猜你喜欢