readme: ---
  license: apache-2.0
  tags:
  - vision
  - depth-estimation
  - generated_from_trainer
  model-index:
  - name: glpn-nyu-finetuned-diode-221116-062619
    results: []
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
  should probably proofread and complete it, then remove this comment. -->
  
  # glpn-nyu-finetuned-diode-221116-062619
  
  This model is a fine-tuned version of [vinvino02/glpn-nyu](https://huggingface.co/vinvino02/glpn-nyu) on the diode-subset dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.5480
  - Rmse: nan
  
  ## 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: 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: 0.1
  - num_epochs: 15
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rmse |
  |:-------------:|:-----:|:----:|:---------------:|:----:|
  | 1.6855        | 1.0   | 72   | 1.3740          | nan  |
  | 1.3941        | 2.0   | 144  | 0.9261          | nan  |
  | 0.7567        | 3.0   | 216  | 0.6298          | nan  |
  | 0.6331        | 4.0   | 288  | 0.6080          | nan  |
  | 0.6029        | 5.0   | 360  | 0.6025          | nan  |
  | 0.5607        | 6.0   | 432  | 0.5777          | nan  |
  | 0.5333        | 7.0   | 504  | 0.5553          | nan  |
  | 0.5018        | 8.0   | 576  | 0.5648          | nan  |
  | 0.497         | 9.0   | 648  | 0.5552          | nan  |
  | 0.4838        | 10.0  | 720  | 0.5539          | nan  |
  | 0.4557        | 11.0  | 792  | 0.5468          | nan  |
  | 0.4689        | 12.0  | 864  | 0.5484          | nan  |
  | 0.4735        | 13.0  | 936  | 0.5459          | nan  |
  | 0.4546        | 14.0  | 1008 | 0.5468          | nan  |
  | 0.4608        | 15.0  | 1080 | 0.5480          | nan  |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.13.0+cu117
  - Tokenizers 0.13.2
  