Model card
Lightweight TextCNN with Dual Optimizer.
UnknownunknownUnknown paramsUnknown
Imported from Papers With Code
§ 01 · Benchmarks
Every benchmark Lightweight TextCNN with Dual Optimizer has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | tobacco-small-3482 | Computer Vision · Optical Character Recognition | accuracy | 83.0% | #2 | 2020-04-16 | source ↗ |
| 02 | tobacco-3482 | Computer Vision · Document Image Classification | training-time-hours | 0.4% | #3 | 2020-04-16 | source ↗ |
| 03 | tobacco-small-3482 | Computer Vision · Optical Character Recognition | training-time-min | 2.0% | #3 | 2020-04-16 | source ↗ |
| 04 | tobacco-3482 | Computer Vision · Document Image Classification | accuracy | 43.5% | #13 | 2020-04-16 | source ↗ |
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 02 · Strengths by area
Where Lightweight TextCNN with Dual Optimizer actually performs.
§ 03 · Papers
1 paper with results for Lightweight TextCNN with Dual Optimizer.
- 2020-04-16· Computer Vision· 4 results
Light-Weighted CNN for Text Classification
§ 04 · Related models
Other Unknown models scored on Codesota.
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§ 05 · Sources & freshness
Where these numbers come from.
papers-with-code
4
results
4 of 4 rows marked verified.