glpn-nyu-finetuned-diode-221221-102136

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: 0.4222
• Mae: 0.4110
• Rmse: 0.6292
• Abs Rel: 0.3778
• Log Mae: 0.1636
• Log Rmse: 0.2240
• Delta1: 0.4320
• Delta2: 0.6806
• Delta3: 0.8068

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: 0.0005
• 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: 0.15
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.24.0
• PyTorch 1.12.1+cu116
• Datasets 2.8.0
• Tokenizers 0.13.2