sayakpaul/glpn-kitti-finetuned-diode is a forked repo from huggingface. License: apache-2-0

apache-2-0 depth-estimation model

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README.md

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apache-2.0

vision

depth-estimation

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glpn-kitti-finetuned-diode

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: 0.4947
Rmse: 0.4399

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
0.8555	1.0	10	0.6764	0.5844
0.7688	2.0	20	0.6335	0.5344
0.7099	3.0	30	0.5967	0.5203
0.6526	4.0	40	0.5602	0.4932
0.5928	5.0	50	0.5235	0.4576
0.5746	6.0	60	0.4981	0.4160
0.5335	7.0	70	0.4794	0.3926
0.5009	8.0	80	0.4697	0.3816
0.4811	9.0	90	0.4629	nan
0.473	10.0	100	0.4633	0.3714

Framework versions

Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.6.1
Tokenizers 0.13.2