Model card
convnext_base.fb_in22k_ft_in1k.
Meta AIopen-sourceConvNeXt-B, IN22K pre-train, IN1K fine-tune
§ 02 · Benchmarks
Every benchmark convnext_base.fb_in22k_ft_in1k has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | ImageNet | Computer Vision · Image Classification | top-1-accuracy | 86.3% | #10 | 2022-01-01 | 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 convnext_base.fb_in22k_ft_in1k actually performs.
§ 05 · Related models
Other Meta AI models scored on Codesota.
GENRE
1 result · 1 SOTA
SeamlessM4T v2 Large
2.3B params · 1 result · 1 SOTA
wav2vec 2.0 Large (960h)
317M params · 3 results
HuBERT Large (LS-960)
317M params · 2 results
DINOv2 (ViT-g) + Linear
Unknown params · 1 result
Fairseq S2T (MuST-C)
~150M params · 1 result
Mask2Former (Swin-L)
Unknown params · 1 result
MusicGen Large
3.3B params · 1 result
§ 06 · Sources & freshness
Where these numbers come from.
codesota-editorial
1
result
1 of 1 rows marked verified.