glpn-kitti-finetuned-diode

This model is a fine-tuned version of vinvino02/glpn-kitti on the diode-subset dataset.
It achieves the following results on the evaluation set:

Loss: 0.5845
Rmse: 0.6175

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: 32
eval_batch_size: 32
seed: 42
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

Training results

Training Loss	Epoch	Step	Validation Loss	Rmse
No log	1.0	10	0.8001	0.8455
0.8187	2.0	20	0.7558	0.7907
0.8187	3.0	30	0.7391	0.7379
0.7618	4.0	40	0.6937	0.6895
0.7618	5.0	50	0.6954	nan
0.6917	6.0	60	0.6834	nan
0.6917	7.0	70	0.6719	nan
0.6625	8.0	80	0.6634	nan
0.6625	9.0	90	0.6592	nan
0.6553	10.0	100	0.6579	nan

数据统计

数据评估

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