Model save

README.md

@@ -4,7 +4,7 @@ base_model: google/vit-base-patch16-224-in21k
 tags:
 - generated_from_trainer
 datasets:
-- image_folder
+- imagefolder
 metrics:
 - accuracy
 model-index:
@@ -14,15 +14,15 @@ model-index:
       name: Image Classification
       type: image-classification
     dataset:
-      name: image_folder
-      type: image_folder
+      name: imagefolder
+      type: imagefolder
       config: default
       split: train
       args: default
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.28735632183908044
+      value: 0.3103448275862069
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # vit-base-patch16-224-in21k-finetune
 
-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 image_folder 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 imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.5921
-- Accuracy: 0.2874
+- Loss: 1.5597
+- Accuracy: 0.3103
 
 ## Model description
 
@@ -67,16 +67,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 0.92  | 3    | 1.6042          | 0.2414   |
-| No log        | 1.85  | 6    | 1.6004          | 0.2414   |
-| No log        | 2.77  | 9    | 1.5964          | 0.2759   |
-| 1.4057        | 4.0   | 13   | 1.5928          | 0.2874   |
-| 1.4057        | 4.62  | 15   | 1.5921          | 0.2874   |
+| No log        | 0.92  | 3    | 1.5697          | 0.2874   |
+| No log        | 1.85  | 6    | 1.5657          | 0.2759   |
+| No log        | 2.77  | 9    | 1.5628          | 0.2759   |
+| 1.5842        | 4.0   | 13   | 1.5602          | 0.3103   |
+| 1.5842        | 4.62  | 15   | 1.5597          | 0.3103   |
 
 
 ### Framework versions
 
-- Transformers 4.38.1
+- Transformers 4.39.3
 - Pytorch 2.1.2
-- Datasets 2.1.0
+- Datasets 2.18.0
 - Tokenizers 0.15.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4ac972eb8a267f9f10b2c01eabdb693dd5b32ed8247677c85901b1c5ff97c01e
+oid sha256:8c77817f14fbfaa3ef34879af32a121f771c75702fc8044de7063037e04c8717
 size 343233204