sayakpaul/glpn-nyu-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

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depth-estimation

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glpn-nyu-finetuned-diode

glpn-nyu-finetuned-diode

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: 0.8193
Rmse: 0.8077

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	0.9152	nan
0.8958	2.0	20	0.8413	nan
0.8958	3.0	30	0.7873	1.0697
0.7472	4.0	40	0.7405	0.9340
0.7472	5.0	50	0.7017	0.8441
0.6999	6.0	60	0.6785	0.7959
0.6999	7.0	70	0.6656	0.7672
0.6917	8.0	80	0.6490	0.7413
0.6917	9.0	90	0.6413	0.7212
0.6527	10.0	100	0.6408	0.7146

Framework versions

Transformers 4.24.0
Pytorch 1.12.1+cu113
Tokenizers 0.13.2