Fah-d
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xlm-yoruba-tweets-classifications

Text Classification

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Fah-d commited on Jan 30

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@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7381
-- Accuracy: 0.6852
 ## Model description
@@ -49,9 +49,9 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.9841        | 1.0   | 1066 | 0.9028          | 0.6182   |
-| 0.8193        | 2.0   | 2132 | 0.7337          | 0.6670   |
-| 0.7004        | 3.0   | 3198 | 0.7381          | 0.6852   |
 ### Framework versions

 This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.7641
+- Accuracy: 0.6871
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.9621        | 1.0   | 1066 | 0.9099          | 0.6120   |
+| 0.8269        | 2.0   | 2132 | 0.7536          | 0.6627   |
+| 0.7239        | 3.0   | 3198 | 0.7641          | 0.6871   |
 ### Framework versions