| language: en | |
| license: mit | |
| tags: | |
| - sentiment-analysis | |
| - internship-feedback | |
| - distilbert | |
| - feedback-intelligence | |
| pipeline_tag: text-classification | |
| # Sentintern AI: Internship Feedback Sentiment Analysis | |
| This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/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. | |