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-landscape
+  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: 0.9365918097754293
+---
+
+<!-- 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-landscape
+
+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: 0.1881
+- Accuracy: 0.9366
+
+## 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 |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 3.6193        | 0.9684 | 23   | 1.0203          | 0.6618   |
+| 0.5876        | 1.9789 | 47   | 0.3358          | 0.8904   |
+| 0.3585        | 2.9895 | 71   | 0.2494          | 0.9207   |
+| 0.2906        | 4.0    | 95   | 0.2333          | 0.9207   |
+| 0.2591        | 4.9684 | 118  | 0.2078          | 0.9313   |
+| 0.2458        | 5.9789 | 142  | 0.2229          | 0.9234   |
+| 0.1936        | 6.9895 | 166  | 0.2095          | 0.9221   |
+| 0.1765        | 8.0    | 190  | 0.1941          | 0.9247   |
+| 0.1915        | 8.9684 | 213  | 0.1890          | 0.9366   |
+| 0.1824        | 9.6842 | 230  | 0.1881          | 0.9366   |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.2
+- Tokenizers 0.19.1

model.safetensors

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