Downloads · 30 days
12
7% of all-time downloads
FLP-Test-v10
blainetrain/FLP-Test-v10
FLP-Test-v10 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.
All-time downloads
166
Public
Parameters
44.1M
2.8 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors176 MB · 100%
At a glance
- License
- apache-2.0
- Model type
- roberta
- Access
- Public
- Created
- Feb 4, 2026
- Updated
- Feb 4, 2026
- SHA
- ecc511f2
Base models
Model card
From the Hugging Face model README
FLP Test v10
A chemistry prediction model fine-tuned on Precite platform.
Model Details
- Base Model: seyonec/ChemBERTa-zinc-base-v1
- Fine-tuned On: 8 training samples, 2 validation samples (80/20 split)
- Task: Molecular property prediction (4 classes)
- Epochs: 2
- Training Date: 2026-02-04
Performance Metrics (20% Holdout Test Set)
| Metric | Value |
|---|---|
| Accuracy | 0.5000 |
| F1 Score | 0.3333 |
| Precision | 0.2500 |
| Recall | 0.5000 |
| Training Loss | 1.4379 |
Label Classes
highlowmediumvery_low
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-Test-v10")
tokenizer = AutoTokenizer.from_pretrained("blainetrain/FLP-Test-v10")
Training Data
See the associated dataset: blainetrain/precite-dataset-FLP-Test-v10
- Type
- roberta
- License
- apache-2.0
- Created
- Feb 4, 2026
- Updated
- Feb 4, 2026