pragmatapro
iSarcasmEval
| pragmatapro | iSarcasmEval | |
|---|---|---|
| 3 | 1 | |
| 1,349 | 19 | |
| - | - | |
| 5.3 | 10.0 | |
| 29 days ago | over 1 year ago | |
| Rich Text Format | ||
| - | MIT License |
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pragmatapro
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Berkeley Mono Typeface
One alternative you could consider is narrow fonts like Pragmata[1] (commercial) or Iosevka[2] (gratis, FOSS). Being able to fit more stuff onto you screen side-by-side is what enabled me to get as much into tmux as I am now.
[1] https://www.fsd.it/shop/fonts/pragmatapro/
[2] https://typeof.net/Iosevka/
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Strange problem about icons in web page
The font seems to be PragmataPro and you have installed it locally? I believe Github doesn't specify this font in their CSS and I guess Firefox doesn't fall back to this font unconditionally due to privacy concern.
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How do you deal with computer use headaches and eye strain? Do you just accept the pain and power through it?
Switch to Pragmata Pro the best font there is for monospace work.
iSarcasmEval
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Fine-tuned model consistently producing Precision and Recall scores of 0 from start of training, any suggestions on how to improve?
The labels are extracted and put into their own df which is then fed alongside the text data as tensors to the model. The observations for each class are fairly low due to it being a small but thorough dataset defined and labelled specifically for these tasks, so I can't really change it. However I have been wondering whether I should just generally train the model on sarcasm detection first using a Kaggle dataset or something, then fine tuning again for this subtask (B in the link).
What are some alternatives?
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