DeBERTaV3 Base β€” OPP115 Multilabel (v2)

Fine-tuned DeBERTaV3 model for multi-label classification on the OPP115 dataset.

πŸ“Š Evaluation Metrics

Metric Score
Macro F1 0.8092
Micro F1 0.8565
Weighted F1 0.8531
Macro Precision 0.8657
Macro Recall 0.7697

πŸ§ͺ Usage

from transformers import AutoModelForSequenceClassification, AutoTokenizer
import torch

model = AutoModelForSequenceClassification.from_pretrained("Hacktrix-121/deberta-v3-base-opp115-multilabel-v2")
tokenizer = AutoTokenizer.from_pretrained("Hacktrix-121/deberta-v3-base-opp115-multilabel-v2")

text = "Your input text here"
inputs = tokenizer(text, return_tensors="pt")
logits = model(**inputs).logits
probs = torch.sigmoid(logits)
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