End of training

README.md

@@ -1,7 +1,7 @@
 ---
 library_name: transformers
 license: apache-2.0
-base_model: ayooke97/emotion_classifier
+base_model: google/vit-base-patch16-224-in21k
 tags:
 - generated_from_trainer
 datasets:
@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.59375
+      value: 0.4125
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,10 +31,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # emotion_classifier
 
-This model is a fine-tuned version of [ayooke97/emotion_classifier](https://huggingface.co/ayooke97/emotion_classifier) on the imagefolder 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 the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1981
-- Accuracy: 0.5938
+- Loss: 1.6092
+- Accuracy: 0.4125
 
 ## Model description
 
@@ -67,13 +67,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 40   | 1.2351          | 0.575    |
-| No log        | 2.0   | 80   | 1.2232          | 0.575    |
-| No log        | 3.0   | 120  | 1.2373          | 0.55     |
-| No log        | 4.0   | 160  | 1.1981          | 0.5938   |
-| No log        | 5.0   | 200  | 1.1942          | 0.5687   |
-| No log        | 6.0   | 240  | 1.2105          | 0.5813   |
-| No log        | 7.0   | 280  | 1.1909          | 0.5813   |
+| No log        | 1.0   | 40   | 2.0750          | 0.15     |
+| No log        | 2.0   | 80   | 2.0046          | 0.1875   |
+| No log        | 3.0   | 120  | 1.8909          | 0.3063   |
+| No log        | 4.0   | 160  | 1.7726          | 0.3563   |
+| No log        | 5.0   | 200  | 1.6970          | 0.3438   |
+| No log        | 6.0   | 240  | 1.6562          | 0.3937   |
+| No log        | 7.0   | 280  | 1.6269          | 0.4062   |
+| No log        | 8.0   | 320  | 1.6092          | 0.4125   |
+| No log        | 9.0   | 360  | 1.6012          | 0.4125   |
+| No log        | 10.0  | 400  | 1.5955          | 0.4125   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3298d46e11f771aa5bcc12d4f2f8597a98516a04a4207e201f4f109f7ff138ce
+oid sha256:b7468f23abccbff815f409c99cfbe7180710b3f6ff97e38f3877c7c00c5a9ec2
 size 343242432