End of training

README.md

@@ -9,7 +9,7 @@ datasets:
 metrics:
 - accuracy
 model-index:
-- name: Emotion-Recognition
+- name: EmotionRecognition
   results:
   - task:
       name: Image Classification
@@ -23,18 +23,18 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.35
+      value: 0.3875
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# Emotion-Recognition
+# EmotionRecognition
 
 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 imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.7248
-- Accuracy: 0.35
+- Loss: 1.6785
+- Accuracy: 0.3875
 
 ## Model description
 
@@ -65,9 +65,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.0336        | 1.0   | 40   | 1.9731          | 0.2313   |
-| 1.7687        | 2.0   | 80   | 1.7835          | 0.3563   |
-| 1.5551        | 3.0   | 120  | 1.7248          | 0.35     |
+| 1.9926        | 1.0   | 40   | 1.8900          | 0.3063   |
+| 1.684         | 2.0   | 80   | 1.7338          | 0.4      |
+| 1.4968        | 3.0   | 120  | 1.6785          | 0.3875   |
 
 
 ### Framework versions

runs/Sep05_16-48-43_39ff819edf61/events.out.tfevents.1725554933.39ff819edf61.10226.1

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 6434
+oid sha256:dfdec4431c0366b23767d593c99b3c9624bc3ee5c3cadd83d13176f4d8471f7d
+size 7099

runs/Sep05_16-48-43_39ff819edf61/events.out.tfevents.1725555617.39ff819edf61.10226.2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 405