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-wsdmhar
+  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: 0.9297520661157025
+---
+
+<!-- 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-wsdmhar
+
+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: 0.1990
+- Accuracy: 0.9298
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.7388        | 1.0   | 53   | 0.6308          | 0.7118   |
+| 0.5099        | 2.0   | 106  | 0.3669          | 0.8485   |
+| 0.4319        | 3.0   | 159  | 0.3324          | 0.8685   |
+| 0.4002        | 4.0   | 212  | 0.2758          | 0.9029   |
+| 0.3589        | 5.0   | 265  | 0.2503          | 0.9132   |
+| 0.3096        | 6.0   | 318  | 0.2419          | 0.9136   |
+| 0.2708        | 7.0   | 371  | 0.2277          | 0.9232   |
+| 0.261         | 8.0   | 424  | 0.2168          | 0.9253   |
+| 0.2526        | 9.0   | 477  | 0.2099          | 0.9246   |
+| 0.2767        | 10.0  | 530  | 0.1990          | 0.9298   |
+
+
+### Framework versions
+
+- Transformers 4.43.2
+- Pytorch 2.3.1+cu118
+- Datasets 2.20.0
+- Tokenizers 0.19.1

runs/Jul26_02-43-40_DESKTOP-BJ85B6S/events.out.tfevents.1721951063.DESKTOP-BJ85B6S.19880.0

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