Training completed!

README.md

@@ -22,10 +22,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.901
+      value: 0.8975
     - name: F1
       type: f1
-      value: 0.89754070016765
+      value: 0.8918840109817414
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -35,9 +35,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [nuwrong/distilbert-base-uncased-finetuned-emotion](https://huggingface.co/nuwrong/distilbert-base-uncased-finetuned-emotion) on the emotion dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3518
-- Accuracy: 0.901
-- F1: 0.8975
+- Loss: 0.3723
+- Accuracy: 0.8975
+- F1: 0.8919
 
 ## Model description
 
@@ -68,8 +68,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 125  | 0.5649          | 0.821    | 0.7944 |
-| 0.7652        | 2.0   | 250  | 0.3518          | 0.901    | 0.8975 |
+| No log        | 1.0   | 125  | 0.6100          | 0.7925   | 0.7532 |
+| 0.8121        | 2.0   | 250  | 0.3723          | 0.8975   | 0.8919 |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:a472aec61a65d51c8fcd3d8fd65e738ee473a16844d042ded6f657a16d2da6c5
 size 267867821