# Text Classification Optimization

A text classification model fine-tuned based on distilbert-base-uncased, demonstrating outstanding performance on the evaluation set with both accuracy and F1 score reaching 1.0.

This model is a fine-tuned version of DistilBERT on the CoLA (Corpus of Linguistic Acceptability) dataset, designed for grammatical acceptability judgment tasks.

A fine-tuned model based on distilroberta-base, suitable for specific NLP tasks

A model fine-tuned based on distilbert-base-uncased, with specific task and dataset information not provided

A Tamil pre-trained model based on the ELECTRA framework, with the second version trained on TPUs and expanded corpus scale

Lightweight BERT model designed for self-supervised learning of Persian language representations