Training complete

README.md

@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Davlan/afro-xlmr-base](https://huggingface.co/Davlan/afro-xlmr-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0719
-- Precision: 0.7785
-- Recall: 0.7891
-- F1: 0.7838
-- Accuracy: 0.9845
+- Loss: 0.0692
+- Precision: 0.8069
+- Recall: 0.7959
+- F1: 0.8014
+- Accuracy: 0.9854
 
 ## Model description
 
@@ -55,9 +55,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 226  | 0.0899          | 0.6551    | 0.6395 | 0.6472 | 0.9778   |
-| No log        | 2.0   | 452  | 0.0742          | 0.7695    | 0.7721 | 0.7708 | 0.9831   |
-| 0.1592        | 3.0   | 678  | 0.0719          | 0.7785    | 0.7891 | 0.7838 | 0.9845   |
+| No log        | 1.0   | 226  | 0.0927          | 0.7165    | 0.6190 | 0.6642 | 0.9795   |
+| No log        | 2.0   | 452  | 0.0699          | 0.7860    | 0.7993 | 0.7926 | 0.9845   |
+| 0.1612        | 3.0   | 678  | 0.0692          | 0.8069    | 0.7959 | 0.8014 | 0.9854   |
 
 
 ### Framework versions

pytorch_model.bin

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