Entraînement terminé, ajout du modèle final.

README.md

@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [almanach/camembert-base](https://huggingface.co/almanach/camembert-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0749
-- Accuracy: 0.9836
-- Precision: 0.9848
-- Recall: 0.9833
-- F1: 0.9833
+- Loss: 0.1045
+- Accuracy: 0.9983
+- Precision: 0.9983
+- Recall: 0.9983
+- F1: 0.9983
 
 ## Model description
 
@@ -56,9 +56,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
-| No log        | 1.0   | 35   | 1.4928          | 0.9672   | 0.9697    | 0.9667 | 0.9656 |
-| No log        | 2.0   | 70   | 1.1711          | 0.9672   | 0.9697    | 0.9667 | 0.9656 |
-| No log        | 3.0   | 105  | 1.0749          | 0.9836   | 0.9848    | 0.9833 | 0.9833 |
+| No log        | 1.0   | 338  | 0.1045          | 0.9983   | 0.9983    | 0.9983 | 0.9983 |
+| 0.4417        | 2.0   | 676  | 0.0408          | 0.9983   | 0.9983    | 0.9983 | 0.9983 |
+| 0.0461        | 3.0   | 1014 | 0.0291          | 0.9983   | 0.9983    | 0.9983 | 0.9983 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:6f66c58edabfc31d96cb77fca91b1ed87041d8ee46ca1589ab5b4f5f515dcf2c
 size 442530408