Model save

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.7390639923591213
+      value: 0.7306590257879656
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [motheecreator/vit-Facial-Expression-Recognition](https://huggingface.co/motheecreator/vit-Facial-Expression-Recognition) on the image_folder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8219
-- Accuracy: 0.7391
+- Loss: 1.1663
+- Accuracy: 0.7307
 
 ## Model description
 
@@ -61,17 +61,22 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 5
+- num_epochs: 10
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.7175        | 1.0   | 654  | 0.7081          | 0.7309   |
-| 0.6952        | 2.0   | 1308 | 0.6931          | 0.7379   |
-| 0.5041        | 3.0   | 1962 | 0.7038          | 0.7444   |
-| 0.2461        | 4.0   | 2617 | 0.7843          | 0.7393   |
-| 0.1846        | 5.0   | 3270 | 0.8219          | 0.7391   |
+| Training Loss | Epoch | Step | Accuracy | Validation Loss |
+|:-------------:|:-----:|:----:|:--------:|:---------------:|
+| 0.7175        | 1.0   | 654  | 0.7309   | 0.7081          |
+| 0.6952        | 2.0   | 1308 | 0.7379   | 0.6931          |
+| 0.5041        | 3.0   | 1962 | 0.7444   | 0.7038          |
+| 0.2461        | 4.0   | 2617 | 0.7393   | 0.7843          |
+| 0.1846        | 5.0   | 3270 | 0.7391   | 0.8219          |
+| 0.276         | 6.0   | 3924 | 0.8876   | 0.7335          |
+| 0.2217        | 7.0   | 4578 | 0.9752   | 0.7255          |
+| 0.0646        | 8.0   | 5232 | 1.0957   | 0.7263          |
+| 0.063         | 9.0   | 5887 | 1.1335   | 0.7263          |
+| 0.0562        | 10.0  | 6540 | 1.1663   | 0.7307          |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9a177f1c15538e7a012dfaf83d51cbef9c27ffcf2f76c4e85acaf7c370483964
+oid sha256:fb8a0f55d171e73b2625993fddfb2d2c452c945a1cefeb5100d9dfb84cd26493
 size 343239356