Model save

README.md

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+---
+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-fraud-detection
+  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: 0.9579207920792079
+---
+
+<!-- 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-fraud-detection
+
+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: 0.1332
+- Accuracy: 0.9579
+
+## 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: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.1859        | 1.0   | 57   | 0.2052          | 0.9394   |
+| 0.14          | 2.0   | 114  | 0.1544          | 0.9505   |
+| 0.1296        | 3.0   | 171  | 0.1620          | 0.9530   |
+| 0.1208        | 4.0   | 228  | 0.1573          | 0.9493   |
+| 0.0889        | 5.0   | 285  | 0.1294          | 0.9592   |
+| 0.0846        | 6.0   | 342  | 0.1400          | 0.9517   |
+| 0.0775        | 7.0   | 399  | 0.1222          | 0.9567   |
+| 0.0774        | 8.0   | 456  | 0.1564          | 0.9418   |
+| 0.0577        | 9.0   | 513  | 0.1274          | 0.9579   |
+| 0.0722        | 10.0  | 570  | 0.1332          | 0.9579   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.17.0
+- Tokenizers 0.15.1

model.safetensors

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