Training completed!

README.md

@@ -25,7 +25,7 @@ model-index:
       value: 0.901
     - name: F1
       type: f1
-      value: 0.8966795034198314
+      value: 0.89754070016765
 ---
 
 <!-- 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: 0.3550
+- Loss: 0.3518
 - Accuracy: 0.901
-- F1: 0.8967
+- F1: 0.8975
 
 ## 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  | 0.5711          | 0.812    | 0.7784 |
-| 0.7662        | 2.0   | 250  | 0.3550          | 0.901    | 0.8967 |
+| No log        | 1.0   | 125  | 0.5649          | 0.821    | 0.7944 |
+| 0.7652        | 2.0   | 250  | 0.3518          | 0.901    | 0.8975 |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:523f93154c29c33e916386625138392e71ee927f799e3634b99f1d7bdcb7da35
+oid sha256:59d916d8f10ab990d4dd16c7f2a7b7f0885621801c8a9b75fd7e61d6f2393597
 size 267867821