Model save

README.md

@@ -3,14 +3,27 @@ library_name: transformers
 license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
-- image-classification
-- vision
 - generated_from_trainer
+datasets:
+- arrow
 metrics:
 - accuracy
 model-index:
 - name: vit-base-beans
-  results: []
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: arrow
+      type: arrow
+      config: default
+      split: validation
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9774436090225563
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -18,10 +31,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # vit-base-beans
 
-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 arrow dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0667
-- Accuracy: 0.9925
+- Accuracy: 0.9774
+- Loss: 0.0842
 
 ## Model description
 

config.json

@@ -28,7 +28,6 @@
   "num_channels": 3,
   "num_hidden_layers": 12,
   "patch_size": 16,
-  "problem_type": "single_label_classification",
   "qkv_bias": true,
   "torch_dtype": "float32",
   "transformers_version": "4.44.2"

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4da2d013dcec31634d7c4ec8f1d93954baa57baa834d3e23def4e15ab781bd9c
+oid sha256:1242eae1c5588a2da5b4a18ce6e32cff162624b7dc6fbf28e7377f9029dd9931
 size 5240