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

Framework versions

Transformers 4.24.0
PyTorch 1.12.1+cu116
Tokenizers 0.13.2

sayakpaul/glpn-nyu-finetuned-diode-221122-082237浏览人数已经达到754，如你需要查询该站的相关权重信息，可以点击"5118数据""爱站数据""Chinaz数据"进入；以目前的网站数据参考，建议大家请以爱站数据为准，更多网站价值评估因素如：sayakpaul/glpn-nyu-finetuned-diode-221122-082237的访问速度、搜索引擎收录以及索引量、用户体验等；当然要评估一个站的价值，最主要还是需要根据您自身的需求以及需要，一些确切的数据则需要找sayakpaul/glpn-nyu-finetuned-diode-221122-082237的站长进行洽谈提供。如该站的IP、PV、跳出率等！

特别声明

本站Ai导航提供的sayakpaul/glpn-nyu-finetuned-diode-221122-082237都来源于网络，不保证外部链接的准确性和完整性，同时，对于该外部链接的指向，不由Ai导航实际控制，在2023年5月15日下午3:11收录时，该网页上的内容，都属于合规合法，后期网页的内容如出现违规，可以直接联系网站管理员进行删除，Ai导航不承担任何责任。

Ai导航致力于优质、实用的网络站点资源收集与分享！本文地址https://www.ainavpro.com/sites/3219.html转载请注明

sayakpaul/glpn-nyu-finetuned-diode-221121-113853