End of training

README.md

@@ -1,7 +1,7 @@
 ---
 library_name: transformers
 license: apache-2.0
-base_model: google/vit-base-patch16-224-in21k
+base_model: ayooke97/emotion_classifier
 tags:
 - generated_from_trainer
 datasets:
@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.4875
+      value: 0.525
 ---
 
 <!-- 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 [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
+This model is a fine-tuned version of [ayooke97/emotion_classifier](https://huggingface.co/ayooke97/emotion_classifier) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.5654
-- Accuracy: 0.4875
+- Loss: 1.4129
+- Accuracy: 0.525
 
 ## Model description
 
@@ -67,16 +67,15 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 40   | 2.0725          | 0.1437   |
-| No log        | 2.0   | 80   | 2.0190          | 0.2313   |
-| No log        | 3.0   | 120  | 1.9191          | 0.325    |
-| No log        | 4.0   | 160  | 1.7563          | 0.4062   |
-| No log        | 5.0   | 200  | 1.6603          | 0.45     |
-| No log        | 6.0   | 240  | 1.6096          | 0.4625   |
-| No log        | 7.0   | 280  | 1.5654          | 0.4875   |
-| No log        | 8.0   | 320  | 1.5510          | 0.4813   |
-| No log        | 9.0   | 360  | 1.5434          | 0.4813   |
-| No log        | 10.0  | 400  | 1.5364          | 0.4875   |
+| No log        | 1.0   | 40   | 1.5552          | 0.4688   |
+| No log        | 2.0   | 80   | 1.4906          | 0.5      |
+| No log        | 3.0   | 120  | 1.4549          | 0.5062   |
+| No log        | 4.0   | 160  | 1.4412          | 0.5125   |
+| No log        | 5.0   | 200  | 1.4098          | 0.5125   |
+| No log        | 6.0   | 240  | 1.4129          | 0.525    |
+| No log        | 7.0   | 280  | 1.3911          | 0.525    |
+| No log        | 8.0   | 320  | 1.3882          | 0.5062   |
+| No log        | 9.0   | 360  | 1.4028          | 0.5188   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:341abedcfc4f532ae8b82f62c9b42cbafb21160a38f6b727cfc83701d4058bbc
+oid sha256:3d6428b10eb56c9f94d890fe494c65d60d7aaf2edbf4ebd780a63de25649a3e2
 size 343242432