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FLP-Reactivity-Predictor-1-1
blainetrain/FLP-Reactivity-Predictor-1-1
FLP-Reactivity-Predictor-1-1 is a machine learning model from blainetrain. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
A chemistry prediction model fine-tuned on Precite platform.
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At a glance
- License
- apache-2.0
- Model type
- roberta
- Access
- Public
- Created
- Feb 5, 2026
- Updated
- Feb 6, 2026
- SHA
- 1130e331
Base models
Model card
From the Hugging Face model README
FLP Reactivity Predictor 1.1
A chemistry prediction model fine-tuned on Precite platform.
Model Details
- Base Model: seyonec/ChemBERTa-zinc-base-v1
- Fine-tuned On: 14 training samples, 4 validation samples (80/20 split)
- Task: Molecular property prediction (3 classes)
- Epochs: 3
- Training Date: 2026-02-06
Performance Metrics (20% Holdout Test Set)
| Metric | Value |
|---|---|
| Accuracy | 0.2500 |
| F1 Score | 0.2500 |
| Precision | 0.2500 |
| Recall | 0.2500 |
| Training Loss | 1.3063 |
Label Classes
no_reactionreaction_occurredunknown
Usage
This model can be queried through the Precite platform for FLP chemistry predictions.
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("blainetrain/FLP-Reactivity-Predictor-1-1")
tokenizer = AutoTokenizer.from_pretrained("blainetrain/FLP-Reactivity-Predictor-1-1")
Training Data
See the associated dataset: blainetrain/precite-dataset-FLP-Reactivity-Predictor-1-1
- Type
- roberta
- License
- apache-2.0
- Created
- Feb 5, 2026
- Updated
- Feb 6, 2026