readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: beit-sketch-classifier-pt-metaset
    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. -->
  
  # beit-sketch-classifier-pt-metaset
  
  This model is a fine-tuned version of [microsoft/beit-base-patch16-224-pt22k-ft22k](https://huggingface.co/microsoft/beit-base-patch16-224-pt22k-ft22k) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.6732
  - Accuracy: 0.8277
  
  ## 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: 5e-05
  - train_batch_size: 32
  - eval_batch_size: 32
  - seed: 42
  - gradient_accumulation_steps: 4
  - total_train_batch_size: 128
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_ratio: 0.1
  - num_epochs: 5
  
  ### Training results
  
  | Training Loss | Epoch | Step   | Validation Loss | Accuracy |
  |:-------------:|:-----:|:------:|:---------------:|:--------:|
  | 0.8069        | 1.0   | 76608  | 0.7673          | 0.7988   |
  | 0.6922        | 2.0   | 153216 | 0.6982          | 0.8159   |
  | 0.6289        | 3.0   | 229824 | 0.6709          | 0.8236   |
  | 0.5332        | 4.0   | 306432 | 0.6635          | 0.8271   |
  | 0.4283        | 5.0   | 383040 | 0.6732          | 0.8277   |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.1+cu117
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  