Model save

README.md

@@ -1,13 +1,11 @@
 ---
-library_name: transformers
-license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
-tags:
-- image-classification
-- vision
-- generated_from_trainer
+library_name: peft
+license: apache-2.0
 metrics:
 - accuracy
+tags:
+- generated_from_trainer
 model-index:
 - name: vit-base-beans
   results: []
@@ -18,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # vit-base-beans
 
-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: 0.0663
-- Accuracy: 0.9925
+- Loss: 0.8530
+- Accuracy: 0.8045
 
 ## Model description
 
@@ -52,16 +50,17 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2854        | 1.0   | 130  | 0.2194          | 0.9624   |
-| 0.1302        | 2.0   | 260  | 0.1309          | 0.9699   |
-| 0.144         | 3.0   | 390  | 0.0973          | 0.9699   |
-| 0.0808        | 4.0   | 520  | 0.0663          | 0.9925   |
-| 0.1109        | 5.0   | 650  | 0.0823          | 0.9774   |
+| 1.0326        | 1.0   | 130  | 1.0319          | 0.6090   |
+| 0.9721        | 2.0   | 260  | 0.9699          | 0.7293   |
+| 0.8948        | 3.0   | 390  | 0.9060          | 0.7820   |
+| 0.8524        | 4.0   | 520  | 0.8661          | 0.8045   |
+| 0.866         | 5.0   | 650  | 0.8530          | 0.8045   |
 
 
 ### Framework versions
 
+- PEFT 0.12.0
 - Transformers 4.44.2
 - Pytorch 2.0.1+cu117
 - Datasets 3.0.0
-- Tokenizers 0.19.1
+- Tokenizers 0.19.1