Update README.md

README.md

@@ -28,32 +28,39 @@ It achieves the following results on the evaluation set:
 
 This model is a fine-tuned version of the [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) pre-trained model, specifically trained on the [shmuhammad/AfriSenti-twitter-sentiment](https://huggingface.co/datasets/shmuhammad/AfriSenti-twitter-sentiment) dataset focusing on Yoruba tweets. It aims to perform sentiment classification on Yoruba tweets.
 ## Key details:
--	Type: Fine-tuned language model
--	Base model: xlm-roberta-base
--	Task: Yoruba tweet sentiment classification
--	Dataset: shmuhammad/AfriSenti-twitter-sentiment (Yoruba subset)
+- Type: Fine-tuned language model
+- Base model: xlm-roberta-base
+- Task: Yoruba tweet sentiment classification
+- Dataset: shmuhammad/AfriSenti-twitter-sentiment (Yoruba subset)
 
 
 ## Intended uses:
--	Classifying sentiment (positive, negative, neutral) on Yoruba tweets.
--	Can be used as a starting point for further fine-tuning on specific Yoruba tweet classification tasks.
+- Classifying sentiment (positive, negative, neutral) on Yoruba tweets.
+- Can be used as a starting point for further fine-tuning on specific Yoruba tweet classification tasks.
 
 ## Limitations:
--	Trained on a limited dataset, potentially impacting performance on unseen data.
--	Fine-tuned only for sentiment classification, not suitable for other tasks.
--	Accuracy might not be optimal for all applications.
+- Trained on a limited dataset, potentially impacting performance on unseen data.
+- Fine-tuned only for sentiment classification, not suitable for other tasks.
+- Accuracy might not be optimal for all applications.
 
 
 ## Training and evaluation data
 
-More information needed
+- train: Dataset({
+        features: ['tweet', 'label'],
+        num_rows: 8522
+    })
+- validation: Dataset({
+        features: ['tweet', 'label'],
+        num_rows: 2090
+    })
 
 ## Training procedure
 
--	Dataset: shmuhammad/AfriSenti-twitter-sentiment (Yoruba subset)
--	Data size: Specify the number of Yoruba tweets used for training and evaluation.
--	Data description: Briefly describe the content and distribution of sentiment labels in the dataset.
--	Data source: https://huggingface.co/datasets/shmuhammad/AfriSenti-twitter-sentiment 
+- Dataset: shmuhammad/AfriSenti-twitter-sentiment (Yoruba subset)
+- Data size: Specify the number of Yoruba tweets used for training and evaluation.
+- Data description: Briefly describe the content and distribution of sentiment labels in the dataset.
+- Data source: https://huggingface.co/datasets/shmuhammad/AfriSenti-twitter-sentiment 
 
 ### Training hyperparameters