Codesota · Models · FLAN-T5-base (STSM)Google5 results · 1 benchmarks
Model card

FLAN-T5-base (STSM).

Googleunknown250M paramsTransformer

FLAN-T5-base baseline from STSM paper (Self-training from Self-memory, arxiv:2401.10567, Jan 2024).

§ 02 · Benchmarks

Every benchmark FLAN-T5-base (STSM) has a recorded score for.

#BenchmarkArea · TaskMetricValueRankDateSource
01e2eComputer Vision · Optical Character Recognitionnist8.5%#8/92024-01-19source ↗
02e2eComputer Vision · Optical Character Recognitionbleu65.7%#9/92024-01-19source ↗
03e2eComputer Vision · Optical Character Recognitionmeteor45.5%#9/92024-01-19source ↗
04e2eComputer Vision · Optical Character Recognitionrouge-l67.8%#9/92024-01-19source ↗
05e2eComputer Vision · Optical Character Recognitioncider2.1%#9/92024-01-19source ↗
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 FLAN-T5-base (STSM) actually performs.

Computer Vision
1
benchmark
avg rank #8.8
§ 04 · Papers

1 paper with results for FLAN-T5-base (STSM).

  1. 2024-01-19· 5 results

    Self-training from Self-memory in Data-to-text Generation

    Hoang-Thang Ta, Abu Bakar Siddiqur Rahman, Akira Utsumi
§ 05 · Related models

Other Google models scored on Codesota.

Gemini 1.5 Pro
21 results
Gemini 2.5 Pro
16 results
Gemini 3 Pro
Undisclosed params · 13 results
Gemini-3.1-Pro
11 results
Gemma-3-27b
27B params · 11 results
Gemma 3 (27B, IT)
9 results
Gemma-2-27b-it
9 results
gemma-3-12b-it
9 results
§ 06 · Sources & freshness

Where these numbers come from.

papers-with-code
5
results
5 of 5 rows marked verified.