Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: microsoft/swin-tiny-patch4-window7-224
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: swin-tiny-patch4-window7-224-finetuned-skin-cancer
+  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: 0.8772455089820359
+---
+
+<!-- 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-skin-cancer
+
+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: 0.3211
+- Accuracy: 0.8772
+
+## 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: 64
+- eval_batch_size: 64
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 256
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 0.8717        | 0.9929 | 35   | 0.8160          | 0.6916   |
+| 0.6289        | 1.9858 | 70   | 0.5764          | 0.8034   |
+| 0.4878        | 2.9787 | 105  | 0.4994          | 0.8174   |
+| 0.4392        | 4.0    | 141  | 0.4301          | 0.8493   |
+| 0.3867        | 4.9929 | 176  | 0.4034          | 0.8573   |
+| 0.3653        | 5.9858 | 211  | 0.3476          | 0.8693   |
+| 0.3359        | 6.9787 | 246  | 0.3681          | 0.8643   |
+| 0.2865        | 8.0    | 282  | 0.3578          | 0.8653   |
+| 0.3041        | 8.9929 | 317  | 0.3245          | 0.8792   |
+| 0.2869        | 9.9291 | 350  | 0.3211          | 0.8772   |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.4.0
+- Datasets 3.0.1
+- Tokenizers 0.20.0

model.safetensors

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