glpn-nyu-finetuned-diode-221116-054332

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: 0.6028
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: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rmse
1.6801	1.0	72	1.3466	nan
1.2071	2.0	144	0.8388	nan
0.7548	3.0	216	0.6771	nan
0.6401	4.0	288	0.6443	nan
0.629	5.0	360	0.6452	nan
0.5892	6.0	432	0.6202	nan
0.5773	7.0	504	0.6262	nan
0.5532	8.0	576	0.6151	nan
0.5268	9.0	648	0.5995	nan
0.5416	10.0	720	0.6028	nan

数据统计

数据评估

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