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laya-typed-decisions
Ankit1106/laya-typed-decisions
laya-typed-decisions is a machine learning model from Ankit1106. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
This derivative checkpoint fine-tunes the open-source Laya base model by Convai Innovations for typed decision-making sample sets.
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Public
Updated Sep 22, 2026
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At a glance
- Library
- transformers
- License
- apache-2.0
- Access
- Public
- Created
- Sep 22, 2026
- Updated
- Sep 22, 2026
- SHA
- 66172d2d
Model card
From the Hugging Face model README
Laya fine-tuned on Typed Decisions
This derivative checkpoint fine-tunes the open-source Laya base model by Convai Innovations for typed decision-making sample sets.
- Base model: https://huggingface.co/convaiinnovations/laya
- Source code: https://github.com/NandhaKishorM/laya
- Source repository owner: NandhaKishorM
- Upstream package author: Convai Innovations
- License: Apache-2.0
Fine-tuned on 1,200 training cases (6,000 decisions) from LocalLLaMA/typed-decisions using two NVIDIA T4 GPUs for four epochs.
Official held-out evaluation
400 cases / 2,000 decisions.
| Metric | Result |
|---|---|
| Accuracy | 0.769 |
| Soft accuracy | 0.5068 |
| Brier score | 0.0694 |
| ECE | 0.2150 |
| Score MAE | 0.2442 |
| Within one level | 0.9912 |
| p50 latency | 116.1 ms/case |
| p95 latency | 153.8 ms/case |
Accuracy 0.769 vs TypeSafe Jev 1.13.0 baseline 0.727 and teacher self-agreement 0.735.
Per workflow: agent trace 0.746, customer service 0.776, invoice processing 0.806, security incidents 0.748.
import laya
agent = laya.Agent("Ankit1106/laya-typed-decisions")
result = agent.predict(state, questions)
Full metrics are in laya_benchmark_report.json. This is a fine-tuned derivative checkpoint, not an ownership claim over Laya.
- Library
- transformers
- License
- apache-2.0
- Created
- Sep 22, 2026
- Updated
- Sep 22, 2026