Model save

README.md

@@ -20,11 +20,11 @@ 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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0689
-- Precision: 0.9837
-- Recall: 0.9846
-- F1: 0.9842
-- Accuracy: 0.9849
+- Loss: 0.4950
+- Precision: 0.9683
+- Recall: 0.9737
+- F1: 0.9710
+- Accuracy: 0.9726
 
 ## Model description
 
@@ -49,18 +49,13 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 6
+- num_epochs: 1
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     | Accuracy |
-|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.3987        | 1.0   | 1782  | 0.2233          | 0.9743    | 0.9762 | 0.9753 | 0.9760   |
-| 0.1243        | 2.0   | 3564  | 0.1126          | 0.9772    | 0.9782 | 0.9777 | 0.9790   |
-| 0.0793        | 3.0   | 5346  | 0.0837          | 0.9794    | 0.9813 | 0.9804 | 0.9819   |
-| 0.0574        | 4.0   | 7128  | 0.0758          | 0.9816    | 0.9827 | 0.9821 | 0.9828   |
-| 0.0462        | 5.0   | 8910  | 0.0711          | 0.9830    | 0.9839 | 0.9835 | 0.9844   |
-| 0.0428        | 6.0   | 10692 | 0.0689          | 0.9837    | 0.9846 | 0.9842 | 0.9849   |
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.6273        | 1.0   | 1782 | 0.4950          | 0.9683    | 0.9737 | 0.9710 | 0.9726   |
 
 
 ### Framework versions