README.md

metadata

language: en
tags:
  - exbert
license: apache-2.0
datasets:
  - drug-review

DistilRoBERTa base fintuned condition classifier

Table of Contents

1. Model Details
2. Training Details
3. Evaluation
4. How To Get Started With the Model

Model Details

Model Description

This model is fine-tuned for a condition classification version of the DistilRoBERTa-base model. This model is case-sensitive: it makes a difference between english and English.

• Fine-tuned by: Ban Ursus
• Model type: Transformer-based language model
• Language(s) (NLP): English
• License: Apache 2.0
• Related Models: DistilRoBERTa-base model
• Resources for more information:
  • GitHub Repository

Training Details

This model was fine-tuned 5 epochs using Drug Review Dataset. Therefore, you can improve the accuracy of this model just by training more.

Evaluation

Validation results:

Accuracy	F1 score
0.63	0.58

Note: Rounded to 2 decimal places

How to Get Started With the Model

Follow the Section 2 Try it out! of the GitHub Repository.