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: 2.0757
-- Accuracy: 0.1
+- Loss: 2.1038
+- Accuracy: 0.075
 
 ## 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    | 2.0735          | 0.225    |
-| No log        | 2.0   | 6    | 2.0747          | 0.15     |
-| No log        | 3.0   | 9    | 2.0752          | 0.1      |
-| No log        | 4.0   | 12   | 2.0755          | 0.1      |
-| No log        | 5.0   | 15   | 2.0757          | 0.1      |
+| No log        | 1.0   | 3    | 2.1032          | 0.075    |
+| No log        | 2.0   | 6    | 2.1037          | 0.1      |
+| No log        | 3.0   | 9    | 2.1038          | 0.075    |
+| No log        | 4.0   | 12   | 2.1037          | 0.075    |
+| No log        | 5.0   | 15   | 2.1038          | 0.075    |
 
 
 ### Framework versions

adapter_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:63ca74fd2f7b74a54049602f9eed66972e2450980cc644ce6f9b61694766a75c
+oid sha256:fa4919fa7b098f3b626e30691bd05ef37b128e3e5dc9d91c7aee7714551b8b84
 size 3585485