End of training

README.md

@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [SI2M-Lab/DarijaBERT](https://huggingface.co/SI2M-Lab/DarijaBERT) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0256
+- Loss: 0.0010
 
 ## Model description
 
@@ -46,16 +46,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 132  | 0.0484          |
-| No log        | 2.0   | 264  | 0.0225          |
-| No log        | 3.0   | 396  | 0.0269          |
-| 0.1331        | 4.0   | 528  | 0.0217          |
-| 0.1331        | 5.0   | 660  | 0.0240          |
-| 0.1331        | 6.0   | 792  | 0.0248          |
-| 0.1331        | 7.0   | 924  | 0.0250          |
-| 0.0014        | 8.0   | 1056 | 0.0253          |
-| 0.0014        | 9.0   | 1188 | 0.0256          |
-| 0.0014        | 10.0  | 1320 | 0.0256          |
+| No log        | 1.0   | 135  | 0.0265          |
+| No log        | 2.0   | 270  | 0.0045          |
+| No log        | 3.0   | 405  | 0.0063          |
+| 0.1371        | 4.0   | 540  | 0.0023          |
+| 0.1371        | 5.0   | 675  | 0.0030          |
+| 0.1371        | 6.0   | 810  | 0.0020          |
+| 0.1371        | 7.0   | 945  | 0.0013          |
+| 0.0009        | 8.0   | 1080 | 0.0011          |
+| 0.0009        | 9.0   | 1215 | 0.0010          |
+| 0.0009        | 10.0  | 1350 | 0.0010          |
 
 
 ### Framework versions