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: bridalMakeupClassifier
+  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: 0.9969230769230769
+---
+
+<!-- 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. -->
+
+# bridalMakeupClassifier
+
+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: 0.0266
+- Accuracy: 0.9969
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.1604        | 1.0   | 23   | 0.0509          | 0.9846   |
+| 0.0837        | 2.0   | 46   | 0.0353          | 0.9877   |
+| 0.0588        | 3.0   | 69   | 0.0326          | 0.9969   |
+| 0.05          | 4.0   | 92   | 0.0302          | 0.9969   |
+| 0.0284        | 5.0   | 115  | 0.0313          | 0.9938   |
+| 0.0372        | 6.0   | 138  | 0.0273          | 0.9938   |
+| 0.0461        | 7.0   | 161  | 0.0268          | 0.9969   |
+| 0.0338        | 8.0   | 184  | 0.0259          | 0.9969   |
+| 0.0253        | 9.0   | 207  | 0.0256          | 0.9938   |
+| 0.0326        | 10.0  | 230  | 0.0266          | 0.9969   |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.4.1+cu121
+- Datasets 2.21.0
+- Tokenizers 0.20.0

model.safetensors

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