Training complete

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0001
-- Accuracy: 1.0
+- Loss: 0.5255
+- Accuracy: 0.8884
 
 ## Model description
 
@@ -49,9 +49,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 84   | 0.0001          | 1.0      |
-| No log        | 2.0   | 168  | 0.0001          | 1.0      |
-| No log        | 3.0   | 252  | 0.0001          | 1.0      |
+| No log        | 1.0   | 233  | 0.5431          | 0.8670   |
+| No log        | 2.0   | 466  | 0.5125          | 0.8670   |
+| 0.4162        | 3.0   | 699  | 0.5255          | 0.8884   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
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 size 1112205008

runs/Jan30_13-20-22_server-cvis/events.out.tfevents.1706620834.server-cvis.520616.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+size 5876