End of training

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.0628
-- Accuracy: 0.2444
+- Loss: 2.0871
+- Accuracy: 0.05
 
 ## Model description
 
@@ -49,11 +49,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 3    | 2.0695          | 0.1778   |
-| No log        | 2.0   | 6    | 2.0665          | 0.2444   |
-| No log        | 3.0   | 9    | 2.0646          | 0.2444   |
-| No log        | 4.0   | 12   | 2.0633          | 0.2444   |
-| No log        | 5.0   | 15   | 2.0628          | 0.2444   |
+| No log        | 1.0   | 3    | 2.0855          | 0.05     |
+| No log        | 2.0   | 6    | 2.0864          | 0.05     |
+| No log        | 3.0   | 9    | 2.0868          | 0.05     |
+| No log        | 4.0   | 12   | 2.0870          | 0.05     |
+| No log        | 5.0   | 15   | 2.0871          | 0.05     |
 
 
 ### Framework versions

adapter_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:e334ec2c0768b856315c982dc918bcd663988f7caa0b154601977b569e9000ef
 size 3585485