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				| @ -57,8 +57,18 @@ Resources: | |||||||
| Tasks: | Tasks: | ||||||
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| - Try [this model](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment) with your own text. | - 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. | - 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. | ||||||
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| ## Meeting 21.2.22 | ## Meeting 21.2.22 | ||||||
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