End of training

README.md

@@ -4,6 +4,8 @@ license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: ViT_Sunflower
   results: []
@@ -15,6 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
 # ViT_Sunflower
 
 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: 0.1157
+- Accuracy: 0.9709
 
 ## Model description
 
@@ -42,6 +47,15 @@ The following hyperparameters were used during training:
 - num_epochs: 4
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 0.0478        | 1.2048 | 100  | 0.1879          | 0.9524   |
+| 0.0526        | 2.4096 | 200  | 0.1999          | 0.9444   |
+| 0.013         | 3.6145 | 300  | 0.1157          | 0.9709   |
+
+
 ### Framework versions
 
 - Transformers 4.47.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:a43c58a64e767ee1cc1e1102304443d4b544c299315e521c6f792d9198e3b372
 size 343230128