End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.64375
+      value: 0.65625
 ---
 
 <!-- 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 [dennisjooo/emotion_classification](https://huggingface.co/dennisjooo/emotion_classification) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1270
-- Accuracy: 0.6438
+- Loss: 1.3030
+- Accuracy: 0.6562
 
 ## Model description
 
@@ -65,9 +65,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2012        | 1.0   | 40   | 1.4178          | 0.5062   |
-| 0.2339        | 2.0   | 80   | 1.2855          | 0.5875   |
-| 0.2162        | 3.0   | 120  | 1.1270          | 0.6438   |
+| 0.058         | 1.0   | 40   | 1.7427          | 0.5312   |
+| 0.0656        | 2.0   | 80   | 1.5938          | 0.5687   |
+| 0.1325        | 3.0   | 120  | 1.3030          | 0.6562   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
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 size 343242432

runs/Feb09_14-43-55_aeb3247fd684/events.out.tfevents.1707489836.aeb3247fd684.2994.8

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