update model card README.md

README.md

@@ -1,6 +1,4 @@
 ---
-library_name: transformers
-base_model: SI2M-Lab/DarijaBERT
 tags:
 - generated_from_trainer
 metrics:
@@ -17,8 +15,8 @@ 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: 0.0856
-- Accuracy: 0.9924
+- Loss: 0.0442
+- Accuracy: 0.9928
 
 ## Model description
 
@@ -41,7 +39,7 @@ The following hyperparameters were used during training:
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
-- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - num_epochs: 8
 
@@ -49,19 +47,19 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 264  | 0.0688          | 0.9905   |
-| 0.0366        | 2.0   | 528  | 0.0684          | 0.9924   |
-| 0.0366        | 3.0   | 792  | 0.0770          | 0.9924   |
-| 0.0           | 4.0   | 1056 | 0.0806          | 0.9924   |
-| 0.0           | 5.0   | 1320 | 0.0829          | 0.9924   |
-| 0.0           | 6.0   | 1584 | 0.0844          | 0.9924   |
-| 0.0           | 7.0   | 1848 | 0.0852          | 0.9924   |
-| 0.0           | 8.0   | 2112 | 0.0856          | 0.9924   |
+| 0.1801        | 1.0   | 694  | 0.0455          | 0.9913   |
+| 0.0437        | 2.0   | 1388 | 0.0442          | 0.9928   |
+| 0.0081        | 3.0   | 2082 | 0.0656          | 0.9928   |
+| 0.0061        | 4.0   | 2776 | 0.0583          | 0.9935   |
+| 0.0055        | 5.0   | 3470 | 0.0509          | 0.9935   |
+| 0.0           | 6.0   | 4164 | 0.0537          | 0.9942   |
+| 0.0           | 7.0   | 4858 | 0.0493          | 0.9957   |
+| 0.0015        | 8.0   | 5552 | 0.0637          | 0.9935   |
 
 
 ### Framework versions
 
-- Transformers 4.47.1
-- Pytorch 2.5.1+cu121
+- Transformers 4.28.1
+- Pytorch 2.6.0+cu124
 - Datasets 2.21.0
-- Tokenizers 0.21.0
+- Tokenizers 0.13.3