End of training

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.46875
+      value: 0.525
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +33,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.4789
-- Accuracy: 0.4688
+- Loss: 1.4214
+- Accuracy: 0.525
 
 ## Model description
 
@@ -65,21 +65,21 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 20   | 1.9690          | 0.2812   |
-| No log        | 2.0   | 40   | 1.7928          | 0.4      |
-| No log        | 3.0   | 60   | 1.6533          | 0.4313   |
-| No log        | 4.0   | 80   | 1.5701          | 0.45     |
-| No log        | 5.0   | 100  | 1.5244          | 0.45     |
-| No log        | 6.0   | 120  | 1.4789          | 0.4688   |
-| No log        | 7.0   | 140  | 1.4781          | 0.4688   |
-| No log        | 8.0   | 160  | 1.4793          | 0.4375   |
-| No log        | 9.0   | 180  | 1.4670          | 0.4375   |
-| No log        | 10.0  | 200  | 1.5136          | 0.45     |
-| No log        | 11.0  | 220  | 1.5041          | 0.45     |
-| No log        | 12.0  | 240  | 1.5178          | 0.4437   |
-| No log        | 13.0  | 260  | 1.5302          | 0.4437   |
-| No log        | 14.0  | 280  | 1.5348          | 0.45     |
-| No log        | 15.0  | 300  | 1.5386          | 0.45     |
+| No log        | 1.0   | 20   | 1.9534          | 0.325    |
+| No log        | 2.0   | 40   | 1.7394          | 0.425    |
+| No log        | 3.0   | 60   | 1.5766          | 0.5      |
+| No log        | 4.0   | 80   | 1.5163          | 0.475    |
+| No log        | 5.0   | 100  | 1.4214          | 0.525    |
+| No log        | 6.0   | 120  | 1.4110          | 0.4938   |
+| No log        | 7.0   | 140  | 1.3743          | 0.4813   |
+| No log        | 8.0   | 160  | 1.3190          | 0.5125   |
+| No log        | 9.0   | 180  | 1.3015          | 0.5125   |
+| No log        | 10.0  | 200  | 1.3349          | 0.475    |
+| No log        | 11.0  | 220  | 1.3449          | 0.4875   |
+| No log        | 12.0  | 240  | 1.3229          | 0.5188   |
+| No log        | 13.0  | 260  | 1.3345          | 0.5062   |
+| No log        | 14.0  | 280  | 1.3379          | 0.5125   |
+| No log        | 15.0  | 300  | 1.3352          | 0.5062   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b2f039281b4498a89a40ec4b4ddbf190df82ff764433e363672ffce9f70689a8
+oid sha256:a189047c4aedda48ef992dc9d41047f5c7f7a897e529b725f57d8916be32928d
 size 343242432

runs/Sep06_11-48-29_85cb81fa4d7c/events.out.tfevents.1725623320.85cb81fa4d7c.6981.2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:edc3a48e60f07f6cdd8d79d8dcd62f5914c5c70ecb719655d0849d169b337a9c
+size 10314

runs/Sep06_11-48-29_85cb81fa4d7c/events.out.tfevents.1725625169.85cb81fa4d7c.6981.3

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5b248a7175f6c4e6457f3078244fe16e2116b501f39ec008b89f278e7e52007b
+size 411

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f5ced5e0d15582cccb5131844c7a86c4ec203afd7f247d82d044c73c7fe3bf0d
+oid sha256:5510cc2f6c7301208628b2c1b792c618ec7463cbb2edc8aa229eb63f19080de0
 size 5176