Model save

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8
+      value: 0.36363636363636365
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +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: 0.7878
-- Accuracy: 0.8
+- Loss: 0.7712
+- Accuracy: 0.3636
 
 ## Model description
 
@@ -67,14 +67,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 0.92  | 3    | 0.7878          | 0.8      |
-| No log        | 1.85  | 6    | 0.7483          | 0.6889   |
-| No log        | 2.77  | 9    | 0.7686          | 0.5778   |
+| No log        | 1.0   | 1    | 0.6673          | 0.8182   |
+| No log        | 2.0   | 3    | 0.7712          | 0.3636   |
 
 
 ### Framework versions
 
-- Transformers 4.35.1
+- Transformers 4.35.2
 - Pytorch 2.1.0+cu118
 - Datasets 2.14.7
-- Tokenizers 0.14.1
+- Tokenizers 0.15.0

runs/Nov15_16-52-21_842987acb68e/events.out.tfevents.1700067148.842987acb68e.893.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2f5037f1c9653f22b5a3d6bf8a1978bac036e553a3162294f6c340d30c19df64
-size 4991
+oid sha256:8f020adfc6c08fde6db17ccd84741ed2b3b596d46e45d41eeba5abb5bb7e7d69
+size 5656