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
@@ -17,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # vit-base-beans-demo-v5
 
-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: 0.0297
-- Accuracy: 0.9925
+- Loss: 0.0147
+- Accuracy: 1.0
 
 ## Model description
 
@@ -52,8 +51,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| 0.1013        | 1.5385 | 100  | 0.0297          | 0.9925   |
-| 0.0118        | 3.0769 | 200  | 0.0303          | 0.9925   |
+| 0.0541        | 1.5385 | 100  | 0.0242          | 1.0      |
+| 0.014         | 3.0769 | 200  | 0.0147          | 1.0      |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
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 size 343227052

runs/Dec27_05-43-52_mlxlabo4wdppro676a46b9-20241224052929-2obftk-9a0zen-worker/events.out.tfevents.1735278233.mlxlabo4wdppro676a46b9-20241224052929-2obftk-9a0zen-worker

@@ -1,3 +1,3 @@
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-size 7717
+oid sha256:c7ce4c0020720163a92a15c93e285d863448c60b45a6db3707df4d2efef3c7c4
+size 11555