DanielJoo/my_awesome_food_model

README.md

@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 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.
 It achieves the following results on the evaluation set:
-- Loss: 2.9120
-- Accuracy: 0.81
+- Loss: 2.9808
+- Accuracy: 0.804
 
 ## Model description
 
@@ -53,12 +53,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.9283        | 1.0   | 63   | 2.9120          | 0.81     |
+| 3.0276        | 1.0   | 63   | 2.9808          | 0.804    |
 
 
 ### Framework versions
 
-- Transformers 4.55.2
+- Transformers 4.55.4
 - Pytorch 2.8.0+cu126
 - Datasets 4.0.0
 - Tokenizers 0.21.4

config.json

@@ -227,5 +227,5 @@
   "problem_type": "single_label_classification",
   "qkv_bias": true,
   "torch_dtype": "float32",
-  "transformers_version": "4.55.2"
+  "transformers_version": "4.55.4"
 }

model.safetensors

@@ -1,3 +1,3 @@
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 size 343528508

training_args.bin

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