Model save

README.md

@@ -2,15 +2,12 @@
 license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
-- image-classification
 - generated_from_trainer
 metrics:
 - accuracy
 model-index:
 - name: vit-base-beans-tutorial
   results: []
-datasets:
-- beans
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -18,11 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # vit-base-beans-tutorial
 
-This model is a remix of [nateraw/vit-base-beans](https://huggingface.co/nateraw/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: 0.2011
+- Loss: 0.0442
 - Accuracy: 0.9850
 
 ## Model description
@@ -55,9 +50,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.0           | 1.54  | 100  | 0.2011          | 0.9850   |
-| 0.0           | 3.08  | 200  | 0.2093          | 0.9850   |
-| 0.0           | 4.62  | 300  | 0.2125          | 0.9850   |
+| 0.0664        | 1.54  | 100  | 0.0698          | 0.9774   |
+| 0.0115        | 3.08  | 200  | 0.0600          | 0.9850   |
+| 0.008         | 4.62  | 300  | 0.0442          | 0.9850   |
 
 
 ### Framework versions
@@ -65,4 +60,4 @@ The following hyperparameters were used during training:
 - Transformers 4.35.2
 - Pytorch 2.1.0+cu121
 - Datasets 2.16.1
-- Tokenizers 0.15.0
+- Tokenizers 0.15.1

runs/Jan25_01-42-25_0085a865efb2/events.out.tfevents.1706146993.0085a865efb2.1029.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0ae3bc8c6d8901c01d14db0b845549b86cade295e2750a9938299ccd7c3489b8
-size 9934
+oid sha256:6e9c5222e2f3f97db76d87708e0783252e65a28920cbcd9c6960a524cbdb2b33
+size 10602