Training completed!

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.941
+      value: 0.9375
 ---
 
 <!-- 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 [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the emotion dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2201
-- Accuracy: 0.941
+- Loss: 0.3316
+- Accuracy: 0.9375
 
 ## Model description
 
@@ -64,8 +64,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 250  | 0.2721          | 0.9295   |
-| 0.0383        | 2.0   | 500  | 0.2201          | 0.941    |
+| No log        | 1.0   | 250  | 0.3313          | 0.933    |
+| 0.0269        | 2.0   | 500  | 0.3316          | 0.9375   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:70f185113bb990c1490dafcb12f4d7c442f9c7e69755b3f04f3d7c49f40472b7
+oid sha256:54ed34271bef08875d358b3b62c601f04f44804b67949af140ca0d55d635c653
 size 267844872