comparatively-finetuning-bert

Comparatively fine-tuning pretrained BERT models on downstream, text classification tasks with different architectural configurations in PyTorch.

uzaymacar/comparatively-finetuning-bert

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Comparatively fine-tuning pretrained BERT models on downstream, text classification tasks with different architectural configurations in PyTorch.

comparatively-finetuning-bert grew +0.8% in the last 30 days, ranks 175th of 203 in Fine-Tuning (LoRA / PEFT), last commit 2,305 days ago.

Star trajectory

115 days tracked
2026-07-02127 stars today2026-10-25
Momentum

+0.8% in 30d, above the Fine-Tuning (LoRA / PEFT) median of +0.1%.

Maintenance

Last commit 2,305 days ago, staler than the median of 259d.

How it compares in Fine-Tuning (LoRA / PEFT)

comparatively-finetuning-bert
127
stars
+0.8% 30d
commit 2,305 days ago
Fine-Tuning (LoRA / PEFT) median
533
stars
+0.1% 30d
commit ~259d ago
Leader · LLMs-from-scratch
107.2k
stars
+1.6% 30d
commit 22 days ago

Ranked 175th of 203 by stars.

Language
Python
License
MIT License
Contributors
1
Forks
28
Watchers
7
Open issues
1
Releases
0
Created
2019-08-26
Stars this week
+0

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