Fine-tuned DistilBERT checkpoint for the XAI transformer tutorials.
Model: distilbert-base-uncased fine-tuned on dair-ai/emotion (split) — 6 classes (sadness, joy, love, anger, fear, surprise).
Metrics: test accuracy 92.95% · weighted F1 0.929.
Asset: distilbert_emotion_weights.zip (~241 MB) — a standard save_pretrained folder (config.json + model.safetensors + tokenizer). After unzipping into data/, load with AutoModelForSequenceClassification.from_pretrained(...).