Model: dafaqboomduck/distilbert-sentiment-fine
Author: dafaqboomduck
Pipeline: text-classification
Tags: safetensors, distilbert, huggingface, fine-tuned-model, english, pytorch, emotion, emotion-classification, text-classification, en, dataset:roskoN/dailydialog, dataset:boltuix/emotions-dataset, dataset:google-research-datasets/go_emotions, base_model:distilbert/distilbert-base-uncased-finetuned-sst-2-english, base_model:finetune:distilbert/distilbert-base-uncased-finetuned-sst-2-english, license:mit, region:us
Base models (finetune): id: distilbert/distilbert-base-uncased-finetuned-sst-2-english
Card metadata: model_name: DistilBERT for Sentiment Classification
version: v1.0.0
date_created: 2025-10-28
last_updated: 2025-10-28
authors: Razvan Nica, Filip Šarík
organization: BUas ADS&AI Students
short_description: A fine-tuned checkpoint of the 'distilbert/distilbert-base-uncased-finetuned-sst-2-english' model, designed to classify emotions in English text into seven categories: neutral, anger, disgust, fear, happiness, sadness, and surprise.

tags: huggingface, fine-tuned-model, english, distilbert, pytorch, emotion, emotion-classification
license: mit
datasets: roskoN/dailydialog, boltuix/emotions-dataset, google-research-datasets/go_emotions
language: en
metrics: f1, accuracy
base_model: distilbert/distilbert-base-uncased-finetuned-sst-2-english
pipeline_tag: text-classification
Likes: 0 | All-time downloads: 97
Created: 2025-10-28 15:38:21