glpn-nyu-finetuned-diode-221116-062619

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: 0.5480
Rmse: nan

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: 1e-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: 0.1
num_epochs: 15
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rmse
1.6855	1.0	72	1.3740	nan
1.3941	2.0	144	0.9261	nan
0.7567	3.0	216	0.6298	nan
0.6331	4.0	288	0.6080	nan
0.6029	5.0	360	0.6025	nan
0.5607	6.0	432	0.5777	nan
0.5333	7.0	504	0.5553	nan
0.5018	8.0	576	0.5648	nan
0.497	9.0	648	0.5552	nan
0.4838	10.0	720	0.5539	nan
0.4557	11.0	792	0.5468	nan
0.4689	12.0	864	0.5484	nan
0.4735	13.0	936	0.5459	nan
0.4546	14.0	1008	0.5468	nan
0.4608	15.0	1080	0.5480	nan

数据统计

数据评估

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