sayakpaul/glpn-nyu-finetuned-diode

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sayakpaul/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: 0.4359
  • Rmse: 0.4276


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: 2e-05
  • train_batch_size: 24
  • eval_batch_size: 24
  • 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
  • mixed_precision_training: Native AMP


Training results

Training Loss Epoch Step Validation Loss Rmse
No log 1.0 13 1.2498 0.9726
0.8469 2.0 26 1.0661 nan
0.8469 3.0 39 0.9959 0.5287
0.6946 4.0 52 0.8550 0.4084
0.586 5.0 65 0.7679 0.3603
0.586 6.0 78 0.6650 0.3119
0.5195 7.0 91 0.6837 0.3370
0.4737 8.0 104 0.6638 0.3366
0.4737 9.0 117 0.6522 0.3250
0.4663 10.0 130 0.6461 0.3153

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