Training completed!

README.md

@@ -19,9 +19,9 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2141
-- Accuracy: 0.925
-- F1: 0.9250
+- Loss: 0.2228
+- Accuracy: 0.92
+- F1: 0.9199
 
 ## Model description
 
@@ -52,8 +52,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.8355        | 1.0   | 250  | 0.3098          | 0.908    | 0.9071 |
-| 0.25          | 2.0   | 500  | 0.2141          | 0.925    | 0.9250 |
+| 0.8388        | 1.0   | 250  | 0.3199          | 0.903    | 0.9025 |
+| 0.2467        | 2.0   | 500  | 0.2228          | 0.92     | 0.9199 |
 
 
 ### Framework versions

runs/Sep30_14-13-32_4540c3a57322/events.out.tfevents.1727705614.4540c3a57322.369.0

@@ -1,3 +1,3 @@
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+size 6669