Model save

README.md

@@ -3,14 +3,6 @@ library_name: transformers
 license: apache-2.0
 base_model: google/vit-base-patch16-224
 tags:
-- image-classification
-- animals
-- transfer-learning
-- vision-transformer
-- vit
-- own-dataset
-- pytorch
-- huggingface
 - generated_from_trainer
 datasets:
 - imagefolder
@@ -23,7 +15,7 @@ model-index:
       name: Image Classification
       type: image-classification
     dataset:
-      name: animals
+      name: imagefolder
       type: imagefolder
       config: default
       split: train
@@ -31,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.987037037037037
+      value: 0.9833333333333333
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -39,10 +31,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # cv_animals
 
-This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the animals dataset.
+This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0833
-- Accuracy: 0.9870
+- Loss: 0.0876
+- Accuracy: 0.9833
 
 ## Model description
 
@@ -73,11 +65,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.1803        | 1.0   | 270  | 0.3215          | 0.9630   |
-| 0.2779        | 2.0   | 540  | 0.1634          | 0.9648   |
-| 0.1745        | 3.0   | 810  | 0.1407          | 0.9648   |
-| 0.1608        | 4.0   | 1080 | 0.1322          | 0.9630   |
-| 0.1486        | 5.0   | 1350 | 0.1281          | 0.9648   |
+| 1.1951        | 1.0   | 270  | 0.3316          | 0.9648   |
+| 0.2763        | 2.0   | 540  | 0.1710          | 0.9667   |
+| 0.1772        | 3.0   | 810  | 0.1482          | 0.9648   |
+| 0.1533        | 4.0   | 1080 | 0.1391          | 0.9704   |
+| 0.1462        | 5.0   | 1350 | 0.1350          | 0.9685   |
 
 
 ### Framework versions

runs/Jun01_04-17-38_ip-10-192-12-140/events.out.tfevents.1748753698.ip-10-192-12-140.2205.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:86b4d09e522d1e301a8ab4aff1eb45b14804d879ffe315ab5db01fa603a0de82
+size 411