Model save

README.md

@@ -2,7 +2,6 @@
 license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
-- image-classification
 - generated_from_trainer
 metrics:
 - accuracy
@@ -16,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # colab20240326ryan
 
-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: 0.7993
-- Accuracy: 0.6763
+- Loss: 0.8730
+- Accuracy: 0.6652
 
 ## Model description
 
@@ -51,31 +50,17 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.1654        | 0.05  | 100  | 1.0816          | 0.5813   |
-| 1.1321        | 0.09  | 200  | 0.9906          | 0.5996   |
-| 0.9389        | 0.14  | 300  | 0.9222          | 0.6250   |
-| 0.816         | 0.19  | 400  | 1.0587          | 0.5740   |
-| 0.7273        | 0.23  | 500  | 0.9185          | 0.6268   |
-| 0.8282        | 0.28  | 600  | 0.9176          | 0.6293   |
-| 0.8           | 0.32  | 700  | 0.9007          | 0.6273   |
-| 0.8777        | 0.37  | 800  | 0.9338          | 0.6203   |
-| 0.7142        | 0.42  | 900  | 0.9443          | 0.6147   |
-| 0.8452        | 0.46  | 1000 | 0.8847          | 0.6283   |
-| 0.845         | 0.51  | 1100 | 0.8412          | 0.6622   |
-| 0.9167        | 0.56  | 1200 | 0.8741          | 0.6527   |
-| 0.8226        | 0.6   | 1300 | 0.8283          | 0.6660   |
-| 0.7738        | 0.65  | 1400 | 0.8641          | 0.6401   |
-| 0.8427        | 0.7   | 1500 | 0.8030          | 0.6725   |
-| 0.6783        | 0.74  | 1600 | 0.8367          | 0.6564   |
-| 0.7856        | 0.79  | 1700 | 0.9696          | 0.6052   |
-| 0.7356        | 0.84  | 1800 | 0.8571          | 0.6517   |
-| 0.9186        | 0.88  | 1900 | 0.8260          | 0.6675   |
-| 0.8218        | 0.93  | 2000 | 0.8352          | 0.6549   |
-| 0.6245        | 0.97  | 2100 | 0.7993          | 0.6763   |
-| 0.4945        | 1.02  | 2200 | 0.8316          | 0.6590   |
-| 0.6064        | 1.07  | 2300 | 0.8378          | 0.6680   |
-| 0.638         | 1.11  | 2400 | 0.8224          | 0.6828   |
-| 0.6253        | 1.16  | 2500 | 0.8880          | 0.6617   |
+| 0.7644        | 0.05  | 100  | 0.8799          | 0.6399   |
+| 0.6947        | 0.09  | 200  | 0.9719          | 0.6044   |
+| 0.6656        | 0.14  | 300  | 0.8993          | 0.6590   |
+| 0.6741        | 0.19  | 400  | 0.9202          | 0.6351   |
+| 0.5095        | 0.23  | 500  | 0.8826          | 0.6557   |
+| 0.602         | 0.28  | 600  | 0.8469          | 0.6617   |
+| 0.5516        | 0.32  | 700  | 0.9219          | 0.6567   |
+| 0.6998        | 0.37  | 800  | 0.9070          | 0.6409   |
+| 0.5686        | 0.42  | 900  | 0.8590          | 0.6572   |
+| 0.6308        | 0.46  | 1000 | 0.9953          | 0.6165   |
+| 0.6242        | 0.51  | 1100 | 0.8730          | 0.6652   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:acc4e52b87c2722c43e6b424549c0e2de1277861722e083ac1cc75d76a785b2d
+oid sha256:c9dbeda1960402a5615061ec31fcf232376a0a31dafbdd9f8f07662361c52202
 size 343236280

runs/Mar26_17-14-14_9a05b6a6bd10/events.out.tfevents.1711479302.9a05b6a6bd10.1267.2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:310d4db65b9f23ce53499a7d1ec00de58e1ea5e6be34a055bb2549650d452b66
-size 31556
+oid sha256:35e757545105dd33cfb02d120702c0d2345d3c5ba4213c715fc58ec93d9bcc07
+size 31910