fshnkarimi / Fine-tuning-an-LLM-using-LoRA

📚 Text Classification with LoRA (Low-Rank Adaptation) of Language Models - Efficiently fine-tune large language models for text classification tasks using the Stanford Sentiment Treebank (SST-2) dataset and the LoRA technique.

Date Created 2023-09-13 (about a year ago)

Commits 8 (last one about a year ago)

Stargazers 39 (0 this week)

Watchers 1 (0 this week)

Forks 5

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RepositoryStats indexes 589,134 repositories, of these fshnkarimi/Fine-tuning-an-LLM-using-LoRA is ranked #521,403 (11th percentile) for total stargazers, and #539,476 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #14,375/17,281.

fshnkarimi/Fine-tuning-an-LLM-using-LoRA is also tagged with popular topics, for these it's ranked: deep-learning (#7,761/8438), machine-learning (#7,345/7978), pytorch (#5,475/5977), natural-language-processing (#1,311/1418), transformers (#742/837), bert (#525/557), language-model (#451/510), huggingface (#302/376), text-classification (#258/278), lora (#235/275), sentiment-analysis (#222/248)

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bert lora pytorch roberta fine-tuning huggingface transformers deep-learning language-model machine-learning sentiment-analysis text-classification natural-language-processing

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8 commits on the default branch (main) since jan '22

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updated: 2024-11-26 @ 07:59am, id: 691094962 / R_kgDOKTFFsg