readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: clip-archdaily-5k
    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. -->
  
  # clip-archdaily-5k
  
  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.5681
  
  ## 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: 3e-05
  - train_batch_size: 56
  - eval_batch_size: 56
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 100
  - num_epochs: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 2.533         | 0.34  | 200  | 2.4607          |
  | 2.1012        | 0.68  | 400  | 1.9922          |
  | 1.6059        | 1.02  | 600  | 1.7986          |
  | 1.4557        | 1.36  | 800  | 1.6130          |
  | 1.4268        | 1.7   | 1000 | 1.4073          |
  | 0.8588        | 2.04  | 1200 | 1.2657          |
  | 0.8191        | 2.38  | 1400 | 1.1214          |
  | 0.81          | 2.72  | 1600 | 1.0418          |
  | 0.5546        | 3.06  | 1800 | 0.9735          |
  | 0.4905        | 3.4   | 2000 | 0.9006          |
  | 0.5209        | 3.74  | 2200 | 0.8762          |
  | 0.3127        | 4.08  | 2400 | 0.8457          |
  | 0.3145        | 4.42  | 2600 | 0.7886          |
  | 0.3265        | 4.76  | 2800 | 0.7853          |
  | 0.2215        | 5.1   | 3000 | 0.7309          |
  | 0.2351        | 5.44  | 3200 | 0.7082          |
  | 0.2332        | 5.78  | 3400 | 0.6770          |
  | 0.1793        | 6.12  | 3600 | 0.6856          |
  | 0.1617        | 6.46  | 3800 | 0.6470          |
  | 0.1468        | 6.8   | 4000 | 0.6700          |
  | 0.1293        | 7.14  | 4200 | 0.6460          |
  | 0.1257        | 7.48  | 4400 | 0.6415          |
  | 0.0975        | 7.82  | 4600 | 0.6454          |
  | 0.0835        | 8.16  | 4800 | 0.6111          |
  | 0.0856        | 8.5   | 5000 | 0.6124          |
  | 0.0887        | 8.84  | 5200 | 0.5956          |
  | 0.069         | 9.18  | 5400 | 0.5877          |
  | 0.0625        | 9.52  | 5600 | 0.5798          |
  | 0.0599        | 9.86  | 5800 | 0.5681          |
  
  
  ### Framework versions
  
  - Transformers 4.21.1
  - Pytorch 1.12.0+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  