End of training

README.md

@@ -21,11 +21,11 @@ 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: 0.5462
+- Loss: 0.3660
 - Precision: 0.0
 - Recall: 0.0
 - F1: 0.0
-- Accuracy: 0.9594
+- Accuracy: 0.8739
 
 ## Model description
 
@@ -56,8 +56,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
-| No log        | 1.0   | 3    | 0.5783          | 0.0       | 0.0    | 0.0 | 0.9570   |
-| No log        | 2.0   | 6    | 0.5462          | 0.0       | 0.0    | 0.0 | 0.9594   |
+| No log        | 1.0   | 24   | 0.3795          | 0.0       | 0.0    | 0.0 | 0.8739   |
+| No log        | 2.0   | 48   | 0.3660          | 0.0       | 0.0    | 0.0 | 0.8739   |
 
 
 ### Framework versions

runs/Jan28_09-12-12_4431f1c5681e/events.out.tfevents.1738055537.4431f1c5681e.434.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d7c16e10739b0a00b6dcfaec23246d7c74f02aafac869d66c79175b48f350ee0
-size 6115
+oid sha256:998f258c92e6beea635d1f41ea4db5041210aef23e63aef06839a651abf51267
+size 6463