Model save

README.md

@@ -3,7 +3,6 @@ library_name: transformers
 license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
-- image-classification
 - generated_from_trainer
 metrics:
 - accuracy
@@ -17,9 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # vit-base-beans-demo-v18Set
 
-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: 0.0673
+- Loss: 0.0409
 - Accuracy: 0.9850
 
 ## Model description
@@ -52,13 +51,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| 0.0625        | 1.5385 | 100  | 0.1025          | 0.9774   |
-| 0.0119        | 3.0769 | 200  | 0.0673          | 0.9850   |
+| 0.0851        | 1.5385 | 100  | 0.1328          | 0.9549   |
+| 0.0131        | 3.0769 | 200  | 0.0409          | 0.9850   |
 
 
 ### Framework versions
 
 - Transformers 4.44.2
-- Pytorch 2.4.0+cu121
+- Pytorch 2.4.1+cu121
 - Datasets 2.17.0
 - Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9e7fcc1882406e7aadccec119dbacf061e467819b7e62cef9974d3f0513c6d9c
+oid sha256:6e9c7fde9ddaaab5a0b404548c61d97f20807cfb0e1f8050586e7744790adcc7
 size 343227052