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

generated_from_trainer

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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: 0.8818
Rmse: 0.7721

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	0.8395	nan
0.9442	2.0	20	0.8097	nan
0.894	3.0	30	0.7852	nan
0.894	4.0	40	0.7784	nan
0.8759	5.0	50	0.7690	nan
0.8475	6.0	60	0.7591	nan
0.8475	7.0	70	0.7493	nan
0.8312	8.0	80	0.7440	nan
0.83	9.0	90	0.7400	nan
0.83	10.0	100	0.7404	nan

Framework versions

Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.6.1
Tokenizers 0.13.2