End of training

README.md

@@ -3,6 +3,8 @@ license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: my_awesome_food_model
   results: []
@@ -14,6 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
 # my_awesome_food_model
 
 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: 2.9031
+- Accuracy: 0.815
 
 ## Model description
 
@@ -43,6 +48,14 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_ratio: 0.1
 - num_epochs: 2
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 3.4887        | 0.992 | 31   | 3.2930          | 0.798    |
+| 2.9076        | 1.984 | 62   | 2.9031          | 0.815    |
+
+
 ### Framework versions
 
 - Transformers 4.41.0