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 [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1891
-- Accuracy: 0.9547
+- Loss: 0.1914
+- Accuracy: 0.9537
 
 ## Model description
 
@@ -50,8 +50,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.1951        | 1.0   | 1563 | 0.1393          | 0.9503   |
-| 0.1175        | 2.0   | 3126 | 0.1891          | 0.9547   |
+| 0.1935        | 1.0   | 1563 | 0.1552          | 0.9470   |
+| 0.1272        | 2.0   | 3126 | 0.1914          | 0.9537   |
 
 
 ### Framework versions

model.safetensors

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 size 498612824

runs/Dec08_21-14-49_cdcda70be2a6/events.out.tfevents.1733692491.cdcda70be2a6.511.0

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