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classifier-main_subjects_recreation
gptmurdock/classifier-main_subjects_recreation
classifier-main_subjects_recreation is a text classification model from gptmurdock. Use it when you need a label for a piece of text. It is set up for transformers.
This is a fine tuned roberta-base model for detecting whether paragraphs drawn from ethnographic source material are about 'Recreation and Entertainment'.
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Sep 19, 2024
- Updated
- Sep 19, 2024
- SHA
- c5be4de3
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Model card
From the Hugging Face model README
Fine-tuned roberta-base for detecting paragraphs on the topic of 'Recreation and Entertainment'
Description
This is a fine tuned roberta-base model for detecting whether paragraphs drawn from ethnographic source material are about 'Recreation and Entertainment'.
Usage
The easiest way to use this model at inference time is with the HF pipelines API.
from transformers import pipeline
classifier = pipeline("text-classification", model="gptmurdock/classifier-main_subjects_interethnic-relations")
classifier("Example text to classify")
Training data
...
Training procedure
...
We use a 60-20-20 train-val-test split, and fine-tuned roberta-base for 5 epochs (lr = 2e-5, batch size = 40).
Evaluation
Evals on the test set are reported below.
| Metric | Value |
|---|---|
| Precision | 98.1 |
| Recall | 98.3 |
| F1 | 98.1 |
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- Sep 19, 2024
- Updated
- Sep 19, 2024