readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  - precision
  - recall
  - f1
  model-index:
  - name: swin-tiny-patch4-window7-224-lcbsi-wbc-new
    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. -->
  
  # swin-tiny-patch4-window7-224-lcbsi-wbc-new
  
  This model is a fine-tuned version of [polejowska/swin-tiny-patch4-window7-224-lcbsi-wbc](https://huggingface.co/polejowska/swin-tiny-patch4-window7-224-lcbsi-wbc) on the WBC dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0457
  - Accuracy: 0.992
  - Precision: 0.9920
  - Recall: 0.992
  - F1: 0.9920
  
  ## 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: 0.0002562
  - 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: 3
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
  | 0.0936        | 0.98  | 27   | 0.0724          | 0.984    | 0.9841    | 0.984  | 0.9840 |
  | 0.0276        | 1.98  | 54   | 0.0768          | 0.984    | 0.9841    | 0.984  | 0.9839 |
  | 0.0133        | 2.98  | 81   | 0.0457          | 0.992    | 0.9920    | 0.992  | 0.9920 |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 2.0.0.dev20230107
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  