uzaymacar/comparatively-finetuning-bert
Comparatively fine-tuning pretrained BERT models on downstream, text classification tasks with different architectural configurations in PyTorch.
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| Metric | comparatively-finetuning-bert | MultiHeadJointEntityRelationExtraction_simple | tensorflow-bert-seq2seq-dream-decoder | marqo-FashionCLIP |
|---|---|---|---|---|
| Stars | 126 | 126 | 127 | 127 |
| Forks | 28 | 12 | 41 | 14 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | N/A | N/A | Apache-2.0 |
Capability Radar vs MultiHeadJointEntityRelationExtraction_simple
Last code push 2106 days ago.
Fork-to-star ratio: 22.2%. Active community forking and contributing.
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No measurable growth in the current period (first-day cold start expected).
Licensed under MIT. Permissive — safe for commercial use.
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