Training completed!

README.md

@@ -23,10 +23,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.923
+      value: 0.9225
     - name: F1
       type: f1
-      value: 0.92322486663891
+      value: 0.9226136286799401
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -36,9 +36,9 @@ 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: 0.2123
-- Accuracy: 0.923
-- F1: 0.9232
+- Loss: 0.2209
+- Accuracy: 0.9225
+- F1: 0.9226
 
 ## Model description
 
@@ -69,8 +69,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.7754        | 1.0   | 250  | 0.2915          | 0.916    | 0.9153 |
-| 0.235         | 2.0   | 500  | 0.2123          | 0.923    | 0.9232 |
+| 0.8278        | 1.0   | 250  | 0.3228          | 0.9075   | 0.9065 |
+| 0.2483        | 2.0   | 500  | 0.2209          | 0.9225   | 0.9226 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f65d2112a77334d14934cb9c126d409ebbcdbcd8d9e4533ebcfccfcdf42a6566
+oid sha256:b1f1a819b7e2fa182bfdb6b105fefa00f402342fc712430dbd92280f11f7b518
 size 267844872

runs/Apr15_00-21-23_YOUNGKIM-PC2/events.out.tfevents.1713108085.YOUNGKIM-PC2.20380.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4e44edb53134374138c96b4e5358922c89cfcfc394a0652e3db85c9cce468db1
-size 5400
+oid sha256:3d385e4306c3a0e4515c3fd2603bc843e5e83fc31acae42fbdddd090e6ca8c59
+size 6334