Model save

README.md

@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8157
-- Accuracy: 0.8505
-- F1: 0.8943
+- Loss: 0.9245
+- Accuracy: 0.8333
+- F1: 0.8828
 
 ## Model description
 
@@ -51,9 +51,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
-| 0.4           | 1.0893 | 500  | 0.6868          | 0.8358   | 0.8859 |
-| 0.2836        | 2.1786 | 1000 | 0.8312          | 0.8480   | 0.8949 |
-| 0.153         | 3.2680 | 1500 | 0.8157          | 0.8505   | 0.8943 |
+| 0.3364        | 1.0893 | 500  | 0.9526          | 0.7966   | 0.8449 |
+| 0.2097        | 2.1786 | 1000 | 0.9513          | 0.8235   | 0.8737 |
+| 0.1005        | 3.2680 | 1500 | 0.9245          | 0.8333   | 0.8828 |
 
 
 ### Framework versions

runs/Jun04_01-01-53_dfb2b826c680/events.out.tfevents.1717463803.dfb2b826c680.3019.5

@@ -1,3 +1,3 @@
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-size 6822
+oid sha256:1c74d21358bc83637329a8cf679f8ef7a4ccde33372f7474fc23cc719dca64aa
+size 7176