readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - imagefolder
  metrics:
  - accuracy
  model-index:
  - name: swin-tiny-patch4-window7-224-finetuned-woody_LeftGR_130epochs
    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: 0.904707233065442
  ---
  
  <!-- 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. -->
  
  # swin-tiny-patch4-window7-224-finetuned-woody_LeftGR_130epochs
  
  This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3377
  - Accuracy: 0.9047
  
  ## 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: 130
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 0.6614        | 1.0   | 61   | 0.6404          | 0.6521   |
  | 0.5982        | 2.0   | 122  | 0.5548          | 0.7107   |
  | 0.579         | 3.0   | 183  | 0.5390          | 0.7141   |
  | 0.5621        | 4.0   | 244  | 0.4920          | 0.7623   |
  | 0.5567        | 5.0   | 305  | 0.5375          | 0.7313   |
  | 0.5271        | 6.0   | 366  | 0.5542          | 0.7405   |
  | 0.5312        | 7.0   | 427  | 0.4573          | 0.7876   |
  | 0.5477        | 8.0   | 488  | 0.4540          | 0.7784   |
  | 0.5554        | 9.0   | 549  | 0.4932          | 0.7635   |
  | 0.5247        | 10.0  | 610  | 0.4407          | 0.7968   |
  | 0.5239        | 11.0  | 671  | 0.4479          | 0.7842   |
  | 0.5294        | 12.0  | 732  | 0.4509          | 0.7910   |
  | 0.531         | 13.0  | 793  | 0.4419          | 0.7933   |
  | 0.5493        | 14.0  | 854  | 0.4646          | 0.7784   |
  | 0.4934        | 15.0  | 915  | 0.4310          | 0.7968   |
  | 0.4965        | 16.0  | 976  | 0.4449          | 0.7876   |
  | 0.4946        | 17.0  | 1037 | 0.4342          | 0.8129   |
  | 0.4716        | 18.0  | 1098 | 0.4129          | 0.8140   |
  | 0.4679        | 19.0  | 1159 | 0.4290          | 0.8002   |
  | 0.4799        | 20.0  | 1220 | 0.4356          | 0.7842   |
  | 0.4744        | 21.0  | 1281 | 0.4042          | 0.8094   |
  | 0.4512        | 22.0  | 1342 | 0.3953          | 0.8117   |
  | 0.4633        | 23.0  | 1403 | 0.4157          | 0.7956   |
  | 0.4528        | 24.0  | 1464 | 0.3920          | 0.8094   |
  | 0.4427        | 25.0  | 1525 | 0.3930          | 0.8220   |
  | 0.4238        | 26.0  | 1586 | 0.3891          | 0.8140   |
  | 0.4257        | 27.0  | 1647 | 0.3700          | 0.8255   |
  | 0.4102        | 28.0  | 1708 | 0.4122          | 0.7968   |
  | 0.4505        | 29.0  | 1769 | 0.4210          | 0.7945   |
  | 0.3973        | 30.0  | 1830 | 0.3923          | 0.8197   |
  | 0.3824        | 31.0  | 1891 | 0.3908          | 0.8473   |
  | 0.3887        | 32.0  | 1952 | 0.3897          | 0.8312   |
  | 0.3723        | 33.0  | 2013 | 0.3747          | 0.8381   |
  | 0.3608        | 34.0  | 2074 | 0.3706          | 0.8301   |
  | 0.3718        | 35.0  | 2135 | 0.3937          | 0.8255   |
  | 0.3692        | 36.0  | 2196 | 0.3984          | 0.8037   |
  | 0.3533        | 37.0  | 2257 | 0.3792          | 0.8335   |
  | 0.3625        | 38.0  | 2318 | 0.4070          | 0.8163   |
  | 0.3633        | 39.0  | 2379 | 0.4130          | 0.8232   |
  | 0.3602        | 40.0  | 2440 | 0.3996          | 0.8186   |
  | 0.3557        | 41.0  | 2501 | 0.3756          | 0.8335   |
  | 0.3373        | 42.0  | 2562 | 0.3914          | 0.8220   |
  | 0.3102        | 43.0  | 2623 | 0.4165          | 0.8507   |
  | 0.3135        | 44.0  | 2684 | 0.3852          | 0.8278   |
  | 0.3286        | 45.0  | 2745 | 0.4164          | 0.8450   |
  | 0.316         | 46.0  | 2806 | 0.3498          | 0.8496   |
  | 0.2802        | 47.0  | 2867 | 0.3887          | 0.8462   |
  | 0.3184        | 48.0  | 2928 | 0.3829          | 0.8576   |
  | 0.2785        | 49.0  | 2989 | 0.3627          | 0.8485   |
  | 0.2988        | 50.0  | 3050 | 0.3679          | 0.8370   |
  | 0.267         | 51.0  | 3111 | 0.3528          | 0.8645   |
  | 0.2907        | 52.0  | 3172 | 0.3538          | 0.8519   |
  | 0.2857        | 53.0  | 3233 | 0.3593          | 0.8530   |
  | 0.2651        | 