update model card README.md

README.md

@@ -1,5 +1,5 @@
 ---
-license: mit
+license: apache-2.0
 tags:
 - generated_from_trainer
 metrics:
@@ -17,13 +17,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # mdeberta-targin-final
 
-This model is a fine-tuned version of [microsoft/mdeberta-v3-base](https://huggingface.co/microsoft/mdeberta-v3-base) on the None dataset.
+This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6266
-- Accuracy: 0.6996
-- Precision: 0.6665
-- Recall: 0.6760
-- F1: 0.6698
+- Loss: 0.5637
+- Accuracy: 0.7091
+- Precision: 0.6841
+- Recall: 0.6557
+- F1: 0.6617
 
 ## Model description
 
@@ -54,11 +54,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
-| No log        | 1.0   | 296  | 0.5638          | 0.6749   | 0.6505    | 0.6657 | 0.6523 |
-| 0.5784        | 2.0   | 592  | 0.5621          | 0.7034   | 0.6713    | 0.6818 | 0.6748 |
-| 0.5784        | 3.0   | 888  | 0.5802          | 0.7082   | 0.6730    | 0.6794 | 0.6757 |
-| 0.4968        | 4.0   | 1184 | 0.5965          | 0.7110   | 0.6736    | 0.6756 | 0.6746 |
-| 0.4968        | 5.0   | 1480 | 0.6266          | 0.6996   | 0.6665    | 0.6760 | 0.6698 |
+| No log        | 1.0   | 296  | 0.6001          | 0.6435   | 0.6344    | 0.5087 | 0.4156 |
+| 0.6011        | 2.0   | 592  | 0.5633          | 0.7091   | 0.6879    | 0.6464 | 0.6521 |
+| 0.6011        | 3.0   | 888  | 0.5501          | 0.7234   | 0.6991    | 0.6841 | 0.6892 |
+| 0.5401        | 4.0   | 1184 | 0.5558          | 0.7082   | 0.6818    | 0.6595 | 0.6652 |
+| 0.5401        | 5.0   | 1480 | 0.5637          | 0.7091   | 0.6841    | 0.6557 | 0.6617 |
 
 
 ### Framework versions