Model save

README.md

@@ -4,8 +4,6 @@ license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
 - generated_from_trainer
-metrics:
-- accuracy
 model-index:
 - name: vit_food5000
   results: []
@@ -17,9 +15,6 @@ should probably proofread and complete it, then remove this comment. -->
 # vit_food5000
 
 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: 0.4818
-- Accuracy: 0.927
 
 ## Model description
 
@@ -47,15 +42,6 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_ratio: 0.1
 - num_epochs: 3
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.2258        | 1.0   | 250  | 1.1668          | 0.881    |
-| 0.6336        | 2.0   | 500  | 0.6133          | 0.912    |
-| 0.3892        | 3.0   | 750  | 0.4818          | 0.927    |
-
-
 ### Framework versions
 
 - Transformers 4.52.4

model.safetensors

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