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-leukemia-08-2024.v1.1
+  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: 0.8610328638497653
+---
+
+<!-- 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-leukemia-08-2024.v1.1
+
+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: 0.7581
+- Accuracy: 0.8610
+
+## 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 |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 0.32          | 0.9984 | 312  | 0.9902          | 0.6911   |
+| 0.2625        | 2.0    | 625  | 0.5526          | 0.7690   |
+| 0.1584        | 2.9984 | 937  | 0.5605          | 0.8019   |
+| 0.1382        | 4.0    | 1250 | 0.4291          | 0.8498   |
+| 0.1058        | 4.9984 | 1562 | 0.3911          | 0.8667   |
+| 0.0703        | 6.0    | 1875 | 0.8593          | 0.8028   |
+| 0.0671        | 6.9984 | 2187 | 0.3631          | 0.8892   |
+| 0.0457        | 8.0    | 2500 | 0.7271          | 0.8338   |
+| 0.0396        | 8.9984 | 2812 | 0.4655          | 0.8826   |
+| 0.0293        | 9.984  | 3120 | 0.7581          | 0.8610   |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0+cu118
+- Datasets 2.21.0
+- Tokenizers 0.19.1

model.safetensors

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