blainetrain/FLP-Test-v10

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

• high
• low
• medium
• very_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