Model save

README.md

@@ -2,9 +2,9 @@
 base_model: google/vit-base-patch16-224-in21k
 library_name: peft
 license: apache-2.0
+metrics:
+- accuracy
 tags:
-- image-classification
-- vision
 - generated_from_trainer
 model-index:
 - name: only-lora-beans-vit-base-patch16-224-in21k
@@ -16,7 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # only-lora-beans-vit-base-patch16-224-in21k
 
-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 beans dataset.
+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: 1.0983
+- Accuracy: 0.3308
 
 ## Model description
 
@@ -45,6 +48,18 @@ The following hyperparameters were used during training:
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.6323        | 1.0   | 130  | 0.3851          | 0.8722   |
+| 0.4102        | 2.0   | 260  | 1.1072          | 0.6241   |
+| 0.8964        | 3.0   | 390  | 0.8284          | 0.6617   |
+| 1.155         | 4.0   | 520  | 1.1070          | 0.3383   |
+| 1.1069        | 5.0   | 650  | 1.1082          | 0.3308   |
+| 1.1748        | 6.0   | 780  | 1.1042          | 0.3308   |
+| 1.1514        | 7.0   | 910  | 1.1008          | 0.3308   |
+| 1.0956        | 8.0   | 1040 | 1.1005          | 0.3383   |
+| 1.1448        | 9.0   | 1170 | 1.1119          | 0.3308   |
+| 1.0991        | 10.0  | 1300 | 1.0983          | 0.3308   |
 
 
 ### Framework versions

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d2959c1778d8abdd043b8cc0e1249973d8de46314398564a33c768dc73fdf132
+oid sha256:f0f5c2b05c9f05450277d2a6a3c79b61c4c0be53e48996bc8ea4cf024cb35269
 size 17116668