Sentintern AI: Internship Feedback Sentiment Analysis

This model is a fine-tuned version of distilbert-base-uncased for sentiment analysis of internship feedback.

Model Description

  • Model type: DistilBERT for Sequence Classification
  • Language(s): English
  • License: MIT
  • Finetuned from model: distilbert-base-uncased

Intended Uses & Limitations

This model is intended to analyze qualitative feedback from interns to categorize it as positive or negative.

Training Procedure

The model was trained on a dataset of 4000 unique internship feedback entries.

Downloads last month
4
Safetensors
Model size
67M params
Tensor type
F32
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support