Training completed!

README.md

@@ -23,10 +23,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.94
+      value: 0.932
     - name: F1
       type: f1
-      value: 0.9399138482178033
+      value: 0.9320863430989965
 ---
 
 <!-- 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: 0.2319
-- Accuracy: 0.94
-- F1: 0.9399
+- Loss: 0.1616
+- Accuracy: 0.932
+- F1: 0.9321
 
 ## Model description
 
@@ -69,21 +69,21 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 63   | 0.1858          | 0.9375   | 0.9373 |
-| No log        | 2.0   | 126  | 0.2010          | 0.9295   | 0.9300 |
-| No log        | 3.0   | 189  | 0.1832          | 0.936    | 0.9365 |
-| 0.0589        | 4.0   | 252  | 0.1928          | 0.9345   | 0.9340 |
-| 0.0589        | 5.0   | 315  | 0.2094          | 0.937    | 0.9367 |
-| 0.0589        | 6.0   | 378  | 0.2016          | 0.937    | 0.9369 |
-| 0.0589        | 7.0   | 441  | 0.2205          | 0.936    | 0.9354 |
-| 0.0427        | 8.0   | 504  | 0.2143          | 0.936    | 0.9355 |
-| 0.0427        | 9.0   | 567  | 0.2184          | 0.9355   | 0.9357 |
-| 0.0427        | 10.0  | 630  | 0.2216          | 0.9365   | 0.9365 |
-| 0.0427        | 11.0  | 693  | 0.2313          | 0.938    | 0.9380 |
-| 0.0261        | 12.0  | 756  | 0.2311          | 0.9395   | 0.9394 |
-| 0.0261        | 13.0  | 819  | 0.2274          | 0.9395   | 0.9394 |
-| 0.0261        | 14.0  | 882  | 0.2302          | 0.9395   | 0.9395 |
-| 0.0261        | 15.0  | 945  | 0.2319          | 0.94     | 0.9399 |
+| No log        | 1.0   | 63   | 0.8992          | 0.7105   | 0.6479 |
+| No log        | 2.0   | 126  | 0.3587          | 0.8875   | 0.8823 |
+| No log        | 3.0   | 189  | 0.2262          | 0.919    | 0.9187 |
+| 0.5953        | 4.0   | 252  | 0.1807          | 0.932    | 0.9320 |
+| 0.5953        | 5.0   | 315  | 0.1635          | 0.9345   | 0.9346 |
+| 0.5953        | 6.0   | 378  | 0.1665          | 0.9335   | 0.9339 |
+| 0.5953        | 7.0   | 441  | 0.1668          | 0.9335   | 0.9327 |
+| 0.109         | 8.0   | 504  | 0.1573          | 0.9325   | 0.9320 |
+| 0.109         | 9.0   | 567  | 0.1598          | 0.9355   | 0.9360 |
+| 0.109         | 10.0  | 630  | 0.1565          | 0.935    | 0.9350 |
+| 0.109         | 11.0  | 693  | 0.1573          | 0.932    | 0.9323 |
+| 0.0682        | 12.0  | 756  | 0.1595          | 0.935    | 0.9350 |
+| 0.0682        | 13.0  | 819  | 0.1606          | 0.9355   | 0.9357 |
+| 0.0682        | 14.0  | 882  | 0.1602          | 0.933    | 0.9331 |
+| 0.0682        | 15.0  | 945  | 0.1616          | 0.932    | 0.9321 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:afcddd15311055b8fa5b02f2162dc147334b37c7bb6c37a7474d24dfb0ea5049
+oid sha256:ad6e0a13d3441b386355e7c98091bfc86dd69200ebaa7b893f58870dc26a2e10
 size 267844872