Model card
C2F + ALTERNATE.
UnknownunknownUnknown paramsUnknown
Imported from Papers With Code
§ 02 · Benchmarks
Every benchmark C2F + ALTERNATE has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | cnn-/-daily-mail | Computer Vision · Optical Character Recognition | ppl | 23.6% | #2 | 2017-09-01 | source ↗ |
| 02 | cnn-/-daily-mail | Computer Vision · Optical Character Recognition | rouge-l | 28.8% | #30 | 2017-09-01 | source ↗ |
| 03 | cnn-/-daily-mail | Computer Vision · Optical Character Recognition | rouge-2 | 15.4% | #31 | 2017-09-01 | source ↗ |
| 04 | cnn-/-daily-mail | Computer Vision · Optical Character Recognition | rouge-1 | 31.1% | #32 | 2017-09-01 | 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.
§ 03 · Strengths by area
Where C2F + ALTERNATE actually performs.
§ 04 · Papers
1 paper with results for C2F + ALTERNATE.
- 2017-09-01· Computer Vision· 4 results
Coarse-to-Fine Attention Models for Document Summarization
§ 05 · Related models
Other Unknown models scored on Codesota.
CRAFT
Unknown params · 21 results
GPT-2-Large (fine-tuning)
Unknown params · 20 results
HTLM (fine-tuning)
Unknown params · 20 results
TextFuseNet (ResNeXt-101)
Unknown params · 16 results
MixNet
Unknown params · 13 results
PAN
Unknown params · 12 results
SPCNET
Unknown params · 12 results
TESTR
Unknown params · 12 results
§ 06 · Sources & freshness
Where these numbers come from.
papers-with-code
4
results
4 of 4 rows marked verified.