End of training

README.md

@@ -18,8 +18,8 @@ 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: 0.2173
-- Accuracy: 0.9422
+- Loss: 0.2153
+- Accuracy: 0.9411
 
 ## Model description
 
@@ -50,8 +50,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2087        | 1.0   | 1563 | 0.1701          | 0.9362   |
-| 0.153         | 2.0   | 3126 | 0.2173          | 0.9422   |
+| 0.2064        | 1.0   | 1563 | 0.1658          | 0.9382   |
+| 0.1555        | 2.0   | 3126 | 0.2153          | 0.9411   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:50e972626aea53088c76c1bc028f4f9999ca0ba40e5586dc51943221c0af0187
+oid sha256:058e980a75d0e0a3467071b8207a71eeddf703c8691350abd1c85b2fcb70210f
 size 328492280