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-hotel_images_classifier_v5_10epocs
+  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: 0.9558704453441296
+---
+
+<!-- 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-hotel_images_classifier_v5_10epocs
+
+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: 0.1293
+- Accuracy: 0.9559
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.3795        | 1.0   | 694  | 0.1922          | 0.9326   |
+| 0.261         | 2.0   | 1389 | 0.1850          | 0.9335   |
+| 0.2187        | 3.0   | 2084 | 0.1516          | 0.9448   |
+| 0.1491        | 4.0   | 2779 | 0.1360          | 0.9518   |
+| 0.2038        | 5.0   | 3473 | 0.1312          | 0.9514   |
+| 0.1793        | 6.0   | 4168 | 0.1290          | 0.9522   |
+| 0.19          | 7.0   | 4863 | 0.1332          | 0.9533   |
+| 0.1424        | 8.0   | 5558 | 0.1297          | 0.9549   |
+| 0.1555        | 9.0   | 6252 | 0.1303          | 0.9552   |
+| 0.1238        | 9.99  | 6940 | 0.1293          | 0.9559   |
+
+
+### Framework versions
+
+- Transformers 4.38.1
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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runs/Mar02_08-15-49_260e46876a9c/events.out.tfevents.1709367445.260e46876a9c.192.0

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