Modelpublic

Felixbrk/bert-base-dutch-cased-simple-score-text-only

sourceHugging Facemitupdated 1y agoView on Hugging Face

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Model Card

🚀 `transformer_y_quality` — Dutch BERT for Text Quality Regression

Model: GroNLP/bert-base-dutch-cased finetuned for regression Task: Predict y_quality_simple (text quality score) Language: Dutch 🇳🇱 Problem type: Single output regression

📈 Performance

Epoch	Train Loss	Val Loss	RMSE	R²
1	0.007200	0.007010	0.0837	0.8117
2	0.005500	0.006300	0.0794	0.8307
3	0.004600	0.006079	0.0780	0.8367
4	0.003300	0.006122	0.0782	0.8355
5	0.002600	0.006891	0.0830	0.8149

✅ Final Test Metrics:

—RMSE: 0.0780
—R²: 0.8367

⚙️ How to use

python

from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("YourUsername/transformer_y_quality")
model = AutoModelForSequenceClassification.from_pretrained("YourUsername/transformer_y_quality")

🚀 transformer_y_quality — Dutch BERT for Text Quality Regression

📈 Performance

⚙️ How to use

🚀 `transformer_y_quality` — Dutch BERT for Text Quality Regression