Downloads · 30 days
3
9% of all-time downloads
classifier-210
gptmurdock/classifier-210
classifier-210 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 classified under the main subject 'Language and Communication' is more specifically about '210'.
All-time downloads
33
Public
Parameters
125M
499 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors499 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Sep 22, 2024
- Updated
- Sep 22, 2024
- SHA
- 30512656
Try a prompt
Model card
From the Hugging Face model README
Fine-tuned roberta-base for detecting paragraphs with eHRAF-assigned two-digit id '210'
Description
This is a fine tuned roberta-base model for detecting whether paragraphs drawn from ethnographic source material classified under the main subject 'Language and Communication' is more specifically about '210'.
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-210")
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 | 96.0 |
| Recall | 96.1 |
| F1 | 96.0 |
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- Sep 22, 2024
- Updated
- Sep 22, 2024