Model save

README.md

@@ -2,7 +2,6 @@
 license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
-- image-classification
 - generated_from_trainer
 datasets:
 - renovation
@@ -15,7 +14,7 @@ model-index:
       name: Image Classification
       type: image-classification
     dataset:
-      name: beans
+      name: renovation
       type: renovation
       config: default
       split: validation
@@ -23,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.634703196347032
+      value: 0.6950596252129472
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # vit-base-beans-demo-v5
 
-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 beans dataset.
+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 renovation dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9295
-- Accuracy: 0.6347
+- Loss: 1.2470
+- Accuracy: 0.6951
 
 ## Model description
 
@@ -66,10 +65,29 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.6438        | 0.81  | 100  | 0.9295          | 0.6347   |
-| 0.3105        | 1.61  | 200  | 0.9350          | 0.6575   |
-| 0.0634        | 2.42  | 300  | 1.0782          | 0.6895   |
-| 0.0257        | 3.23  | 400  | 1.0644          | 0.6986   |
+| 1.0616        | 0.17  | 100  | 1.0267          | 0.5818   |
+| 0.9594        | 0.34  | 200  | 0.9468          | 0.6073   |
+| 1.1785        | 0.51  | 300  | 0.9976          | 0.5869   |
+| 0.865         | 0.68  | 400  | 0.9288          | 0.6388   |
+| 0.8494        | 0.85  | 500  | 0.8573          | 0.6516   |
+| 0.8151        | 1.02  | 600  | 0.8729          | 0.6397   |
+| 0.5787        | 1.19  | 700  | 0.9067          | 0.6448   |
+| 0.7768        | 1.36  | 800  | 0.8996          | 0.6533   |
+| 0.6098        | 1.53  | 900  | 0.8460          | 0.6695   |
+| 0.6251        | 1.7   | 1000 | 0.8610          | 0.6704   |
+| 0.7863        | 1.87  | 1100 | 0.8668          | 0.6431   |
+| 0.2595        | 2.04  | 1200 | 0.8725          | 0.6840   |
+| 0.2735        | 2.21  | 1300 | 0.9307          | 0.6746   |
+| 0.2429        | 2.39  | 1400 | 1.0958          | 0.6354   |
+| 0.3224        | 2.56  | 1500 | 1.0305          | 0.6687   |
+| 0.1602        | 2.73  | 1600 | 1.0072          | 0.6746   |
+| 0.2042        | 2.9   | 1700 | 1.0971          | 0.6789   |
+| 0.0604        | 3.07  | 1800 | 1.0817          | 0.6917   |
+| 0.0716        | 3.24  | 1900 | 1.1307          | 0.6925   |
+| 0.0822        | 3.41  | 2000 | 1.1827          | 0.6925   |
+| 0.0889        | 3.58  | 2100 | 1.2424          | 0.6934   |
+| 0.0855        | 3.75  | 2200 | 1.2667          | 0.6899   |
+| 0.0682        | 3.92  | 2300 | 1.2470          | 0.6951   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:506d4dd06cd6ad48d7d8a05d86728d465b8d025c1ff46caac24c16bcd3200768
 size 343239356

runs/Mar23_12-27-13_65433f580760/events.out.tfevents.1711196834.65433f580760.3628.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:96faa8260957199cdca170efb1f75f6e84527d17940843dfb6acf8e60e55e5c4
-size 60717
+oid sha256:11b12aba07b69f5e7f3a2ed74fd902edc15f0c6ca9ab08f4cf39d9b6220e5ad5
+size 61915