End of training

README.md

@@ -10,22 +10,22 @@ metrics:
 - f1
 - accuracy
 model-index:
-- name: camembert-base
+- name: td2
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# camembert-base
+# td2
 
-This model is a fine-tuned version of [almanach/camembert-base](https://huggingface.co/almanach/camembert-base) on an unknown dataset.
+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: 0.0082
+- Loss: 0.0128
 - Precision: 0.0
 - Recall: 0.0
 - F1: 0.0
-- Accuracy: 0.9982
+- Accuracy: 0.9983
 
 ## Model description
 
@@ -56,20 +56,21 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
-| No log        | 1.0   | 160  | 0.0070          | 0.0       | 0.0    | 0.0 | 0.9982   |
-| No log        | 2.0   | 320  | 0.0083          | 0.0       | 0.0    | 0.0 | 0.9981   |
-| No log        | 3.0   | 480  | 0.0079          | 0.0       | 0.0    | 0.0 | 0.9980   |
-| 0.0034        | 4.0   | 640  | 0.0078          | 0.0       | 0.0    | 0.0 | 0.9981   |
-| 0.0034        | 5.0   | 800  | 0.0081          | 0.0       | 0.0    | 0.0 | 0.9983   |
-| 0.0034        | 6.0   | 960  | 0.0086          | 0.0       | 0.0    | 0.0 | 0.9981   |
-| 0.0019        | 7.0   | 1120 | 0.0093          | 0.0       | 0.0    | 0.0 | 0.9980   |
-| 0.0019        | 8.0   | 1280 | 0.0086          | 0.0       | 0.0    | 0.0 | 0.9984   |
-| 0.0019        | 9.0   | 1440 | 0.0084          | 0.0       | 0.0    | 0.0 | 0.9982   |
-| 0.0013        | 10.0  | 1600 | 0.0082          | 0.0       | 0.0    | 0.0 | 0.9982   |
+| No log        | 1.0   | 160  | 0.0455          | 0.0       | 0.0    | 0.0 | 0.9975   |
+| No log        | 2.0   | 320  | 0.0292          | 0.0       | 0.0    | 0.0 | 0.9981   |
+| No log        | 3.0   | 480  | 0.0224          | 0.0       | 0.0    | 0.0 | 0.9981   |
+| 0.0837        | 4.0   | 640  | 0.0188          | 0.0       | 0.0    | 0.0 | 0.9981   |
+| 0.0837        | 5.0   | 800  | 0.0166          | 0.0       | 0.0    | 0.0 | 0.9979   |
+| 0.0837        | 6.0   | 960  | 0.0148          | 0.0       | 0.0    | 0.0 | 0.9981   |
+| 0.0182        | 7.0   | 1120 | 0.0139          | 0.0       | 0.0    | 0.0 | 0.9982   |
+| 0.0182        | 8.0   | 1280 | 0.0133          | 0.0       | 0.0    | 0.0 | 0.9981   |
+| 0.0182        | 9.0   | 1440 | 0.0129          | 0.0       | 0.0    | 0.0 | 0.9982   |
+| 0.0122        | 10.0  | 1600 | 0.0128          | 0.0       | 0.0    | 0.0 | 0.9983   |
 
 
 ### Framework versions
 
 - Transformers 4.50.0
 - Pytorch 2.6.0+cu124
+- Datasets 3.4.1
 - Tokenizers 0.21.1