Model save

README.md

@@ -0,0 +1,86 @@
+---
+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-cp3
+  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: 0.6458333333333334
+---
+
+<!-- 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-cp3
+
+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: 0.6595
+- Accuracy: 0.6458
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 0.86  | 3    | 0.6987          | 0.5417   |
+| No log        | 2.0   | 7    | 0.8148          | 0.5417   |
+| 0.6179        | 2.86  | 10   | 0.7043          | 0.5417   |
+| 0.6179        | 4.0   | 14   | 0.7285          | 0.625    |
+| 0.6179        | 4.86  | 17   | 0.7141          | 0.625    |
+| 0.5138        | 6.0   | 21   | 0.6348          | 0.6458   |
+| 0.5138        | 6.86  | 24   | 0.6866          | 0.6458   |
+| 0.5138        | 8.0   | 28   | 0.6662          | 0.6458   |
+| 0.4709        | 8.57  | 30   | 0.6595          | 0.6458   |
+
+
+### 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 sha256:349cc2d88f555e378d33b5727db98b25aedd10e6d576471ea3e7b93d4ebd1bf0
+oid sha256:41d38bb5c78c6b8ee200dcfea40e9b360e1173aa589b9f41270fd5f475bcac63
 size 110342832