README.md

metadata

title: You Might Speak
emoji: 🌍
colorFrom: pink
colorTo: gray
sdk: gradio
sdk_version: 5.9.1
app_file: app.py
pinned: false
short_description: I guess you might speak <Language>

Language Guesser based on Name

Data Source

https://pytorch.org/tutorials/intermediate/char_rnn_classification_tutorial.html Last Accessed: 30th Dec 2024

Code Information

The code is partially inspired by https://pytorch.org/tutorials/intermediate/char_rnn_classification_tutorial.html

Changes I Introduced

• NamesDataset is separated from transformation, useful for transformation during inference
• target is made integer instead of one-hot encoding;
• changed the loss from combination of LogSoftmax + NLLoss to CrossEntropy (EXACTLY THE SAME STUFF); which further required removing the softmax layer from the architecture.
• DataLoader is added
• Input made batch first > Corresponding RNN is also made batch first.

Evaluation

Although the code is mostly replicated. However, I changed the dataloader to use apply lowercase transformation to data, and it confused the model.

• Confusion matrix with with lowercase transformation

• Confusion matrix without lowercase transformation