Model save

README.md

@@ -3,7 +3,6 @@ library_name: transformers
 license: apache-2.0
 base_model: google/vit-base-patch16-224
 tags:
-- image-classification
 - generated_from_trainer
 datasets:
 - imagefolder
@@ -16,7 +15,7 @@ model-index:
       name: Image Classification
       type: image-classification
     dataset:
-      name: animals
+      name: imagefolder
       type: imagefolder
       config: default
       split: train
@@ -24,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9742063492063492
+      value: 0.987037037037037
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,10 +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: 0.1150
-- Accuracy: 0.9742
+- Loss: 0.0833
+- Accuracy: 0.9870
 
 ## Model description
 
@@ -66,11 +65,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.8793        | 1.0   | 252  | 0.2529          | 0.9762   |
-| 0.1102        | 2.0   | 504  | 0.1200          | 0.9841   |
-| 0.0669        | 3.0   | 756  | 0.1045          | 0.9802   |
-| 0.0478        | 4.0   | 1008 | 0.0957          | 0.9802   |
-| 0.0482        | 5.0   | 1260 | 0.0936          | 0.9802   |
+| 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   |
 
 
 ### Framework versions

runs/May31_22-34-33_ip-10-192-12-38/events.out.tfevents.1748733392.ip-10-192-12-38.2203.1

@@ -0,0 +1,3 @@
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+oid sha256:055fa5fb479ba362393f1582a373bba446ff2ba2d221236429d710f9f3c1af5c
+size 411