End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9957005563985837
+      value: 0.9967121901871523
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ 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 generator dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0255
-- Accuracy: 0.9957
+- Loss: 0.0176
+- Accuracy: 0.9967
 
 ## Model description
 
@@ -64,8 +64,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2837        | 1.0   | 742  | 0.0438          | 0.9901   |
-| 0.1418        | 2.0   | 1484 | 0.0255          | 0.9957   |
+| 0.2811        | 1.0   | 742  | 0.0404          | 0.9917   |
+| 0.1249        | 2.0   | 1484 | 0.0176          | 0.9967   |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:7e8442cd6a54a6437757e2fde8d5e545a014474ba994bc5550d8c3fc784be014
 size 442563374