Model save

README.md

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+---
+license: apache-2.0
+base_model: microsoft/swin-base-patch4-window7-224-in22k
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- f1
+model-index:
+- name: swin-base-patch4-window7-224-in22k
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: F1
+      type: f1
+      value: 0.976218332192814
+---
+
+<!-- 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-base-patch4-window7-224-in22k
+
+This model is a fine-tuned version of [microsoft/swin-base-patch4-window7-224-in22k](https://huggingface.co/microsoft/swin-base-patch4-window7-224-in22k) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0117
+- F1: 0.9762
+
+## 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 | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.0575        | 0.99  | 50   | 0.0560          | 0.9257 |
+| 0.0561        | 2.0   | 101  | 0.0359          | 0.9475 |
+| 0.027         | 2.99  | 151  | 0.0212          | 0.9643 |
+| 0.0236        | 4.0   | 202  | 0.0145          | 0.9737 |
+| 0.0256        | 4.99  | 252  | 0.0269          | 0.9503 |
+| 0.0226        | 6.0   | 303  | 0.0123          | 0.9762 |
+| 0.0265        | 6.99  | 353  | 0.0135          | 0.9731 |
+| 0.0168        | 8.0   | 404  | 0.0098          | 0.9824 |
+| 0.0074        | 8.99  | 454  | 0.0172          | 0.9700 |
+| 0.0125        | 9.9   | 500  | 0.0117          | 0.9762 |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 1.12.1+cu102
+- Datasets 2.16.1
+- Tokenizers 0.15.1

model.safetensors

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