Model save

README.md

@@ -2,10 +2,7 @@
 license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
-- image-classification
 - generated_from_trainer
-metrics:
-- accuracy
 model-index:
 - name: food-recognition
   results: []
@@ -16,10 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # food-recognition
 
-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 food-recognition dataset.
-It achieves the following results on the evaluation set:
-- Loss: 3.4249
-- Accuracy: 0.5
+This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
 
 ## Model description
 
@@ -48,9 +42,6 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.1007        | 3.12  | 100  | 3.4249          | 0.5      |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1a5ae97601e2aa1d66331b05a4c3f255b6e34d7e2c151825ae2b64273f042c92
+oid sha256:b2e222f4453ecdf4f45452422d52034d8d177dc7fccbf3ad1a3eac6e2352a282
 size 343528508

runs/Dec06_19-06-57_LAPTOP-PH299HA6/events.out.tfevents.1701864417.LAPTOP-PH299HA6.2064.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:791d6ca41f4c1e29d327805cc180a7d1bd78d29be5d164e17aa8d09f2b053064
+size 9707

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:01b40fd3de1a7d8ffdeeaeb17d7781f1898d740a75b97028c79239fe496cd988
+oid sha256:a5749aa74a97e0849d06718be25672a724033373594655861e8db47ee0fa5412
 size 4536