Model save

README.md

@@ -3,29 +3,12 @@ library_name: transformers
 license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
-- image-classification
-- vision
 - generated_from_trainer
 datasets:
 - imagefolder
-metrics:
-- accuracy
 model-index:
 - name: models_diff
-  results:
-  - task:
-      name: Image Classification
-      type: image-classification
-    dataset:
-      name: imagefolder
-      type: imagefolder
-      config: default
-      split: train
-      args: default
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 1.0
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,9 +17,6 @@ should probably proofread and complete it, then remove this comment. -->
 # models_diff
 
 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: 0.0001
-- Accuracy: 1.0
 
 ## Model description
 

config.json

@@ -26,7 +26,6 @@
   "num_channels": 3,
   "num_hidden_layers": 12,
   "patch_size": 16,
-  "problem_type": "single_label_classification",
   "qkv_bias": true,
   "torch_dtype": "float32",
   "transformers_version": "4.48.0.dev0"

runs/Dec30_13-29-10_gpu-cv/events.out.tfevents.1735561768.gpu-cv

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+size 5602

training_args.bin

@@ -1,3 +1,3 @@
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