jack1211son/abdta-single-task-tone-v4-25pct
text-classification model by jack1211son
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
Final checkpoint in the aspect-based risk-disclosure tone analysis (ABDTA) collection for Indonesian listed companies' annual-report narratives. The collection is intended for final models retrained on training plus validation data. The original downloaded folder is modelsingletasktonev425%; the learned weights are unchanged. 0pct / 25pct in the repository name means training-time aspect-keyword dropout. 2x / 4x denote pseudo-label augmentation variants; equal balances aspects and train-dist follows the training distribution. No augmentation suffix means baseline. Tone label order: ['Positive', 'Negative', 'Neutral']. Aspect label order: ['Economics', 'Profit|Loss', 'Dividend', 'Financing', 'Brand', 'Technology', 'Investment', 'Governance', 'Product|Service', 'M&A', 'Legal', 'Environment', 'Social&People', 'Political'].…
Read the full model card ↗ · Preview checked 2026-11-03T07:58:26.760Z
Inside the original model card — Document outline
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Documentation belongs to its respective authors. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
jack1211son/abdta-single-task-tone-v4-25pct is a text-classification model repository published by jack1211son on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-classification
- Library
- transformers
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 435,064,835
- Architecture
- DebertaV2ForSequenceClassification
- License
- Not reported — check the model card
- Access
- Not gated by Hugging Face
- Created
- 2026-11-03T06:27:07.000Z
- Last modified
- 2026-11-03T06:42:05.000Z
Compatibility and lineage
Reported languages: en
Reported base models: microsoft/deberta-v3-large
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.
Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-03T06:52:20.270Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.