Model save

README.md

@@ -0,0 +1,97 @@
+---
+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-vit0
+  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: 0.8199233716475096
+---
+
+<!-- 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-vit0
+
+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: 0.4985
+- Accuracy: 0.8199
+
+## 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: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.13          | 0.97  | 18   | 1.0297          | 0.4330   |
+| 0.9066        | 2.0   | 37   | 0.8349          | 0.6590   |
+| 0.7157        | 2.97  | 55   | 0.8050          | 0.6743   |
+| 0.6446        | 4.0   | 74   | 0.6934          | 0.7165   |
+| 0.5707        | 4.97  | 92   | 0.6324          | 0.7433   |
+| 0.5042        | 6.0   | 111  | 0.6156          | 0.7356   |
+| 0.4714        | 6.97  | 129  | 0.6825          | 0.7241   |
+| 0.4225        | 8.0   | 148  | 0.5692          | 0.7625   |
+| 0.3912        | 8.97  | 166  | 0.6150          | 0.7586   |
+| 0.3442        | 10.0  | 185  | 0.4901          | 0.8008   |
+| 0.289         | 10.97 | 203  | 0.5580          | 0.7739   |
+| 0.2827        | 12.0  | 222  | 0.5308          | 0.7969   |
+| 0.2375        | 12.97 | 240  | 0.5274          | 0.8046   |
+| 0.2493        | 14.0  | 259  | 0.5433          | 0.8046   |
+| 0.2309        | 14.97 | 277  | 0.5355          | 0.7931   |
+| 0.1963        | 16.0  | 296  | 0.4836          | 0.8314   |
+| 0.2162        | 16.97 | 314  | 0.4973          | 0.8238   |
+| 0.2256        | 18.0  | 333  | 0.4918          | 0.8276   |
+| 0.2124        | 18.97 | 351  | 0.5071          | 0.8161   |
+| 0.1797        | 19.46 | 360  | 0.4985          | 0.8199   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:39ddad3e67fa00142b9bd47b858dc4ebd7ceb969266d16fa19e2a471fa457939
+oid sha256:b48e414d3b2b3b54b3f77e2089259babd53724ebcc3b9e1139cba5bf3273b168
 size 110345908