Model save

README.md

@@ -5,8 +5,6 @@ license: apache-2.0
 metrics:
 - accuracy
 tags:
-- image-classification
-- vision
 - generated_from_trainer
 model-index:
 - name: only-lora-beans-vit-base-patch16-224-in21k
@@ -18,10 +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: 0.0752
-- Accuracy: 0.9624
+- Loss: 0.7512
+- Accuracy: 0.6541
 
 ## Model description
 
@@ -40,7 +38,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.005
+- learning_rate: 5e-05
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 1337
@@ -52,21 +50,21 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.4846        | 1.0   | 130  | 0.0752          | 0.9624   |
-| 0.3473        | 2.0   | 260  | 0.1599          | 0.9549   |
-| 0.2953        | 3.0   | 390  | 0.1192          | 0.9549   |
-| 0.2653        | 4.0   | 520  | 0.1393          | 0.9398   |
-| 0.2344        | 5.0   | 650  | 0.1001          | 0.9624   |
-| 0.21          | 6.0   | 780  | 0.0893          | 0.9624   |
-| 0.3117        | 7.0   | 910  | 0.1933          | 0.9248   |
-| 0.2459        | 8.0   | 1040 | 0.1901          | 0.9248   |
-| 0.25          | 9.0   | 1170 | 0.0868          | 0.9699   |
-| 0.2038        | 10.0  | 1300 | 0.1528          | 0.9474   |
+| 1.1019        | 1.0   | 130  | 1.0947          | 0.4135   |
+| 1.091         | 2.0   | 260  | 1.0027          | 0.5188   |
+| 1.0433        | 3.0   | 390  | 0.9840          | 0.5188   |
+| 0.9823        | 4.0   | 520  | 0.9470          | 0.5639   |
+| 0.9523        | 5.0   | 650  | 0.9246          | 0.5789   |
+| 0.9431        | 6.0   | 780  | 0.8905          | 0.5564   |
+| 0.8587        | 7.0   | 910  | 0.8434          | 0.5940   |
+| 0.834         | 8.0   | 1040 | 0.8319          | 0.5714   |
+| 0.8149        | 9.0   | 1170 | 0.7831          | 0.6767   |
+| 0.729         | 10.0  | 1300 | 0.7512          | 0.6541   |
 
 
 ### Framework versions
 
-- PEFT 0.12.0
+- PEFT 0.12.1.dev0
 - Transformers 4.44.0
 - Pytorch 2.4.0+cu121
 - Datasets 2.20.0