sec-bert-finetuned-finance-classification
nickmuchi/sec-bert-finetuned-finance-classification
Tracked by OpenModelStats since September 6, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 370
- Total downloadsCumulative all-time download counter reported by the source platform.
- 69.8K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +82(increase)
- 0.1%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 13
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #1079 among tracked Text Classification models.
- #43,912
- 1934(up 1934 places)this week
- Parameters
- —
- Last source update
- Mar 18, 2023
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 28.1
- sec-bert-finetuned-finance-classification gained 82 downloads during the last seven tracked days.
- It moved from #1137 to #1079 among tracked Text Classification models this week.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterOverview
sec-bert-finetuned-finance-classification is a text classification model published by nickmuchi. OpenModelStats has tracked the model since Sep 6, 2026, most recently observing it Oct 6, 2026.
- Published
- Mar 8, 2022
- Last updated
- Mar 18, 2023
- Library
- transformers
- License
- cc-by-sa-4.0
- Task
- Text Classification
- Parameters
- —
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 12
transformerspytorchtensorboardonnxberttext-classificationfinancial-sentiment-analysissentiment-analysissentence_50agreegenerated_from_trainersentimentfinance
Publisher
nickmuchiView publisher statistics →Similar models
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