Training completed!

README.md

@@ -23,10 +23,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9265
+      value: 0.922
     - name: F1
       type: f1
-      value: 0.9262847934737912
+      value: 0.9220315986671169
 ---
 
 <!-- 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: 0.2306
-- Accuracy: 0.9265
-- F1: 0.9263
+- Loss: 0.2221
+- Accuracy: 0.922
+- F1: 0.9220
 
 ## Model description
 
@@ -69,8 +69,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.8657        | 1.0   | 250  | 0.3305          | 0.9035   | 0.9027 |
-| 0.265         | 2.0   | 500  | 0.2306          | 0.9265   | 0.9263 |
+| 0.8346        | 1.0   | 250  | 0.3201          | 0.9075   | 0.9060 |
+| 0.2526        | 2.0   | 500  | 0.2221          | 0.922    | 0.9220 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
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 size 267844872

runs/Mar13_23-31-00_4160916a195b/events.out.tfevents.1710372702.4160916a195b.459.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 5366
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+size 6300