Model save

README.md

@@ -1,5 +1,6 @@
 ---
 license: apache-2.0
+base_model: microsoft/swin-tiny-patch4-window7-224
 tags:
 - generated_from_trainer
 datasets:
@@ -21,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.24
+      value: 0.22
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 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: 2.0996
-- Accuracy: 0.24
+- Loss: 2.0695
+- Accuracy: 0.22
 
 ## Model description
 
@@ -66,14 +67,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 0.8   | 3    | 2.0996          | 0.24     |
-| No log        | 1.87  | 7    | 2.0109          | 0.22     |
-| No log        | 2.4   | 9    | 2.0030          | 0.2      |
+| No log        | 0.8   | 3    | 2.1547          | 0.24     |
+| No log        | 1.87  | 7    | 2.0737          | 0.24     |
+| No log        | 2.4   | 9    | 2.0695          | 0.22     |
 
 
 ### Framework versions
 
-- Transformers 4.30.0
+- Transformers 4.35.2
 - Pytorch 2.1.0+cu118
 - Datasets 2.15.0
-- Tokenizers 0.13.3
+- Tokenizers 0.15.0

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fe9d2debcfcf39850e7d8b6b3806f2597b6773d39cb9729eef7a0daa599f2a7c
+oid sha256:cbdf29ecf61704438284385b38a1759335050825729c98eed6fbdbc784b6dc95
 size 110367448