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Note you may not use any external libraries to write your model and training/eval loops, such as those in huggingface or keras.

by | Nov 11, 2022 | Machine Learning | 0 comments

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For this assignment, you will be designing and training a language model on the Penn Treebank (text-only), that is an unsupervised learning model.
Here are some things you may try:
RNN, LSTM, GRU, etc.
• Attention (covering next week)
• Different tokenizers
• Pretrained embeddings (word2vec, GloVe; note: you may NOT use any pretrained models such
as those in transformers)
• Hyperparameter tuning
• Regularization, dropout, etc.
Note you may not use any external libraries to write your model and training/eval loops, such as those in huggingface or keras.
And no Tensorflow, only pytorch. (Further details can be found in the instructions.pdf file)
If you have further questions or concerns, please don’t hesitate to contact me!

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