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Tasks:
- Try [this model](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment) with your own text.
- Learn how Transformers Neural Network Works. Learn how Roberta Model works Write a short memo about your findings and papers read on this topic.
- Learn how Transformers Neural Network Works. Learn how Roberta Model training works. Learn how BERT model finetuning works. Write a short memo about your findings and papers read on this topic.
- Pick a dataset:
- https://huggingface.co/datasets/sentiment140 (english)
- https://www.clarin.si/repository/xmlui/handle/11356/1054 (multilingua)
- https://huggingface.co/datasets/tamilmixsentiment (english tamil code switch)
- Grab baseline BERT type model and try to finetune it for sentiment classification.
- For finetuning and evaluation you can use this scrip https://github.com/huggingface/transformers/tree/master/examples/pytorch/text-classification
- For finetuning you will need to install CUDA and Pytorch. It can work on CPU or NOT.
- If you need GPU, use the school server idoc.fei.tuke.sk or google Colab.
- Continue working on the paper.
- Remind me about the SCYR conference payment.
## Meeting 21.2.22