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-soccer-binary2
+  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: 0.968421052631579
+---
+
+<!-- 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-soccer-binary2
+
+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: 0.0940
+- Accuracy: 0.9684
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.4085        | 0.99  | 20   | 0.1740          | 0.9544   |
+| 0.1281        | 1.98  | 40   | 0.1078          | 0.9719   |
+| 0.108         | 2.96  | 60   | 0.0978          | 0.9684   |
+| 0.1077        | 4.0   | 81   | 0.1006          | 0.9684   |
+| 0.0916        | 4.99  | 101  | 0.0954          | 0.9649   |
+| 0.0824        | 5.98  | 121  | 0.0935          | 0.9684   |
+| 0.0859        | 6.96  | 141  | 0.0975          | 0.9684   |
+| 0.0927        | 8.0   | 162  | 0.0949          | 0.9684   |
+| 0.0836        | 8.99  | 182  | 0.0928          | 0.9684   |
+| 0.0958        | 9.88  | 200  | 0.0940          | 0.9684   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

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runs/Nov22_19-32-37_125e4111fa0e/events.out.tfevents.1700681591.125e4111fa0e.395.0

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