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Davlan/naija-twitter-sentiment-afriberta-large

Nigerian Pidgin(pcm)Sentiment Classification (AfriBERTa fine-tune)castorini/afriberta_largeXLMRobertaForSequenceClassification
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Model Info

Language
Nigerian Pidgin (pcm)
Architecture
XLMRobertaForSequenceClassification
Institution
Adelani, David et al. (Davlan / Masakhane)
Last Updated
11 Jun 2026

Intended Use Cases

Sentiment (pcm + hau + ibo + yor)

License & Access

SPDX identifierCC-BY-4.0

Open — attribution required; commercial use allowed.

Provenance

Fetch Timestamp
11 Jun 2026
Submitter
Adelani, David et al. (Davlan / Masakhane)

Full Record

20 of 25 fields stated

Every column the registry tracks. Values marked derivedwere filled by a rule or read from the source's text rather than stated in its metadata; the rule or the quoted sentence is shown under the value.

Registry columns (17/18)

iso code
pcm
Model Name
Davlan/naija-twitter-sentiment-afriberta-large
Where is it hosted
HuggingFace
Link
https://huggingface.co/Davlan/naija-twitter-sentiment-afriberta-large
Year
2022
Creator/Author(s)
Adelani, David et al. (Davlan / Masakhane)
Paper Reference
Muhammad et al. (2022). NaijaSenti. LREC 2022.
NLP Task
Sentiment Classification (AfriBERTa fine-tune)
Architecture
XLMRobertaForSequenceClassificationderivedHugging Face config: architectures / model_type
Base Model
castorini/afriberta_large
Fine-tuned?
Yes
License
CC-BY-4.0
Open Access
Open
Has Model Card
Yes
SOTA Tasks
Sentiment (pcm + hau + ibo + yor)
Verified By
Not stated
Date Indexed
2026-06-11
Comment
Multilingual sentiment model fine-tuned on NaijaSenti for Nigerian Pidgin and 3 other Nigerian languages. SOTA on NaijaSenti benchmark at time of publication.

Readiness (LRS) (3/7)

model id
davlan-naija-twitter-sentiment-afriberta-large-pcm
Model Type
OtherderivedHugging Face card: pipeline_tag
Training Data Sources
NaijaSenti corpus (Hausa, Igbo, Nigerian Pidgin, Yoruba)
Benchmark Used
Not stated
Benchmark Score
Not stated
Benchmark Date
Not stated
Status
Not stated

Readiness Score Breakdown

5/5
Data Coverage100%
Model Availability100%
Benchmarks100%
Documentation77%
Recency100%

Representativeness

Gender Balance
Regional Distribution
Dialect Coverage
Inclusivity
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