readme: ---
  license: apache-2.0
  tags:
  - image-classification
  - vision
  - generated_from_trainer
  datasets:
  - imagefolder
  metrics:
  - accuracy
  model-index:
  - name: pedestrian_age_recognition_local
    results:
    - task:
        name: Image Classification
        type: image-classification
      dataset:
        name: imagefolder
        type: imagefolder
        config: default
        split: train
        args: default
      metrics:
      - name: Accuracy
        type: accuracy
        value: 0.8073394495412844
  ---
  
  <!-- 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. -->
  
  # pedestrian_age_recognition_local
  
  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 imagefolder dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.5004
  - Accuracy: 0.8073
  
  ## 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: 8
  - eval_batch_size: 8
  - seed: 1337
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10.0
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
  |:-------------:|:-----:|:-----:|:---------------:|:--------:|
  | 0.8849        | 1.0   | 2008  | 0.7939          | 0.6807   |
  | 0.9836        | 2.0   | 4016  | 0.6694          | 0.7336   |
  | 0.8128        | 3.0   | 6024  | 0.5768          | 0.7668   |
  | 0.7611        | 4.0   | 8032  | 0.5541          | 0.7833   |
  | 0.6441        | 5.0   | 10040 | 0.5473          | 0.7773   |
  | 0.5696        | 6.0   | 12048 | 0.5187          | 0.7971   |
  | 0.6925        | 7.0   | 14056 | 0.5082          | 0.8038   |
  | 0.5711        | 8.0   | 16064 | 0.5092          | 0.8098   |
  | 0.7741        | 9.0   | 18072 | 0.5026          | 0.8020   |
  | 0.5269        | 10.0  | 20080 | 0.5004          | 0.8073   |
  
  
  ### Framework versions
  
  - Transformers 4.24.0.dev0
  - Pytorch 1.12.1+cu113
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  