DistilBERT fine-tuned on AG News

This model is a fine-tuned version of distilbert-base-uncased on the AG News 4-class news topic classification dataset.

Performance (V3)

Metric Score
Accuracy 0.9280
F1 (weighted) 0.9280
F1 (macro) 0.9280
Precision 0.9282
Recall 0.9280

Hyperparameters

  • Learning rate: 3e-05
  • Batch size: 32
  • Epochs: 3
  • Weight decay: 0.01
  • Warmup ratio: 0.1
  • Max length: 128
  • Mixed precision: FP16
  • Seed: 42
Downloads last month
280
Safetensors
Model size
67M params
Tensor type
F32
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for mehtayash12345678/mlops-ag_news_classification-distilbert

Finetuned
(11928)
this model

Dataset used to train mehtayash12345678/mlops-ag_news_classification-distilbert