w11wo / token-classification Open weights updated 2 years ago

indonesian-roberta-base-posp-tagger

Name: indonesian-roberta-base-posp-tagger
Author: w11wo

This model is a fine-tuned version of flax-community/indonesian-roberta-base on the indonlu dataset. It achieves the following results on the evaluation set: - Loss: 0.1395 - Precision: 0.9625 - Recall: 0.9625 - F1: 0.9625 - Accuracy: 0.9625

Params

120 M

Context

512

Downloads 30d

3.6 M

Likes

Commercial use: allowed mit Not gated SAFETENSORS 1 languages View on Hugging Face ↗

Download history

daily snapshots · 106 days

▲ 258 K in the last 30 days (7.8%)

3.6 M2.3 M

Jul 28Sep 1Oct 6Nov 10

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

File	Quant	Size	Est. VRAM	Verdict on RTX 4090 · 24 GB
model.safetensors	f32	0.5 GB	1.1 GB	✅ Runs comfortably

Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Specifications

Architecture: RobertaForTokenClassification
Parameters: 120 M
Tensor type: F32
Context length: 512
Vocabulary: 50,265
Layers / heads: 12 / 12
Licence: mit
First seen on the Hub: 2022-03-02
Training datasets: indonlu
indonlu (reported): 0.96251002405774
Added to our catalog: 2026-07-28

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