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: 0.7512
-- Accuracy: 0.6541
+- Loss: 0.9381
+- Accuracy: 0.5414
 
 ## Model description
 
@@ -45,23 +43,23 @@ The following hyperparameters were used during training:
 - eval_batch_size: 8
 - seed: 1337
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: constant
+- lr_scheduler_type: linear
 - num_epochs: 10.0
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 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   |
+| 1.1019        | 1.0   | 130  | 1.0956          | 0.3008   |
+| 1.0934        | 2.0   | 260  | 1.0218          | 0.5414   |
+| 1.0541        | 3.0   | 390  | 0.9863          | 0.5038   |
+| 0.9911        | 4.0   | 520  | 0.9628          | 0.5338   |
+| 0.9776        | 5.0   | 650  | 0.9638          | 0.5414   |
+| 0.9852        | 6.0   | 780  | 0.9599          | 0.5414   |
+| 0.9666        | 7.0   | 910  | 0.9483          | 0.5639   |
+| 0.9528        | 8.0   | 1040 | 0.9447          | 0.5414   |
+| 0.9583        | 9.0   | 1170 | 0.9395          | 0.5338   |
+| 0.9401        | 10.0  | 1300 | 0.9381          | 0.5414   |
 
 
 ### Framework versions