# uzaymacar/comparatively-finetuning-bert

<https://repo.masters-masters.com/en/repos/uzaymacar/comparatively-finetuning-bert>

[Home](https://repo.masters-masters.com/en) › [uzaymacar](https://repo.masters-masters.com/en/owners/uzaymacar) › [comparatively-finetuning-bert](https://repo.masters-masters.com/en/repos/uzaymacar/comparatively-finetuning-bert)

uzaymacar/comparatively-finetuning-bert has 127 stars on GitHub. Its RepoMasters card: Prototype tier. Comparatively fine-tuning pretrained BERT models on…

| Field | Value |
| --- | --- |
| Owner | [uzaymacar](https://repo.masters-masters.com/en/owners/uzaymacar) |
| Stars | 127 |
| Forks | 28 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2019 |
| Topics | natural-language-understanding, language-modeling, fine-tuning, imdb-dataset, bert, attention-visualization, pytorch |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [uzaymacar/comparatively-finetuning-bert](https://github.com/uzaymacar/comparatively-finetuning-bert) |

## Repository

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

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.