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uds-lsv/bert-stable-fine-tuning
On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines
138 21 +0/wk
GitHub
bert fine-tuning nlp
Trend
0
Star & Fork Trend (18 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
uds-lsv/bert-stable-fine-tuning has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | bert-stable-fine-tuning | nested-ner-tacl2020-transformers | TreeSearch | Repo-2019 |
|---|---|---|---|---|
| Stars | 138 | 138 | 138 | 139 |
| Forks | 21 | 25 | 15 | 73 |
| Weekly Growth | +0 | +0 | +4 | +0 |
| Language | Python | Python | Python | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | GPL-3.0 | Apache-2.0 | N/A |
Capability Radar vs nested-ner-tacl2020-transformers
bert-stable-fine-tuning
nested-ner-tacl2020-transformers
Maintenance Activity 0
Last code push 945 days ago.
Community Engagement 76
Fork-to-star ratio: 15.2%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 95
Licensed under Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.