# apriandito/indobert-binary-sentiment-classifier

Model from Hugging Face for text classification: apriandito/indobert-binary-sentiment-classifier · unknown

## Facts

- Type: LLM
- Task: text-classification
- Framework: unknown
- License: mit — Permissive open license: commercial use, modification, and redistribution are permitted. (https://spdx.org/licenses/MIT.html)
- Source: https://huggingface.co/apriandito/indobert-binary-sentiment-classifier
- Hosting: unknown (no download location recorded)
- Files: 8 listed, none hosted here
- File counts: "listed" is every file in the source repository; only hosted files download from Hugging Bay, and the download plan lists the files it selects for one download, so its count can differ.
- Hosted here: availability unknown
- Full repo upstream: 1.34 GB
- Recommended file: 1.34 GB (2 files)
- Download: none recorded
- Per-file SHA-256: not available (no files hosted on Hugging Bay)
- Run-ready: no (Hugging Bay has not certified a run path for this model; hosted bytes are downloadable and hash-checkable only)
- Peer-assisted fallbacks: 0 verified, 0 pending review
- Downloads: 183
- Stars: 0
- Card completeness: 96%

## Description

External Hugging Face catalog record for apriandito/indobert-binary-sentiment-classifier. Task: text classification. Library: unknown. Languages: id. Datasets referenced by card metadata: custom. Base model: indobenchmark/indobert-large-p2. Includes 2 model-card evaluation signals. Popularity signal at import: 127 downloads and 0 likes.

## Model Card Facts

- Declared license: mit
- Pipeline: text-classification
- Library: unknown
- Base model: indobenchmark/indobert-large-p2
- Task categories: text-classification
- Languages: id
- Referenced datasets: custom
- Model-index entries: indobert-binary-sentiment-classifier
- Evaluation signals: 2 model-card eval results
- File hints: 8 upstream file samples

## Evaluation Signals

- indobert-binary-sentiment-classifier: Accuracy = 0.9606 (Binary Sentiment Classification)
- indobert-binary-sentiment-classifier: F1 Macro = 0.9494 (Binary Sentiment Classification)

## Referenced Data

- Dataset: custom

## File Hints

- .gitattributes (1.5 KB)
- README.md (5.8 KB)
- config.json (1.2 KB)
- model.safetensors (1.2 GB) LFS
- tokenizer.json (693 KB)
- tokenizer_config.json (350 B)
- training_args.bin (4.7 KB) LFS
- training_metadata.json (1.5 KB)

## Quality Checklist

- Summary: passed
- Description: passed
- Model card metadata: passed
- License: passed
- Provenance: passed
- File inventory: passed
- Hosted bytes: passed
- Scan result: passed
- Manifest signature: pending

## Safety Notes

- External catalog metadata imported from Hugging Face public API on 2026-08-30T09:05:14.922Z.
- Open license detected as mit.
- Model-index metadata found for indobert-binary-sentiment-classifier.
- Model card references dataset context: custom.
- Not locally hosted, mirrored, signed, or rescanned by Hugging Bay.
- Not a run kit: hosted, hash-checked bytes only; run readiness is not certified for this model yet.

## Actions

- Web: https://huggingbay.xyz/artifact/hf-model-apriandito-indobert-binary-sentiment-classifier
- Files API: https://huggingbay.xyz/api/artifacts/hf-model-apriandito-indobert-binary-sentiment-classifier/files?limit=100
- Metadata: https://huggingbay.xyz/api/artifacts/hf-model-apriandito-indobert-binary-sentiment-classifier/metadata.json
- Distribution: https://huggingbay.xyz/api/artifacts/hf-model-apriandito-indobert-binary-sentiment-classifier/distribution
- Manifest: not available until files are hosted and release checks pass.
- Request mirror: POST https://huggingbay.xyz/api/artifacts/hf-model-apriandito-indobert-binary-sentiment-classifier/mirror-request
- Submit peer fallback for review: POST https://huggingbay.xyz/api/artifacts/hf-model-apriandito-indobert-binary-sentiment-classifier/decentralized-fallbacks