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README.md

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 # tw-roberta-base-sentiment-FT-v2
 
-This model is a second fine-tuned version of [cardiffnlp/twitter-roberta-base-sentiment](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment), trained on the dataset [Sp1786/multiclass-sentiment-analysis-dataset](https://huggingface.co/datasets/Sp1786/multiclass-sentiment-analysis-dataset). It builds on the first iteration by incorporating optimized techniques. Specifically, the dataset proportions were adjusted to refine the division of the training, evaluation, and test sets, leading to a more balanced and representative fine-tuning process. Compared to the initial model, this version demonstrates improved performance, with enhanced accuracy and robustness for the task.
+This model is a second fine-tuned version of [cardiffnlp/twitter-roberta-base-sentiment](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment), trained on the [Sp1786/multiclass-sentiment-analysis-dataset](https://huggingface.co/datasets/Sp1786/multiclass-sentiment-analysis-dataset). It builds on the first iteration by incorporating optimized techniques. Specifically, the dataset proportions were adjusted to refine the division of the training, evaluation, and test sets, leading to a more balanced and representative fine-tuning process. Compared to the initial model, this version demonstrates improved performance, with enhanced accuracy and robustness for the task.
 
 As with the first fine-tuned version, the text classification task in this model is based on 3 sentiment labels: negative, neutral and positive.