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bert-labr-unbalanced
mofawzy/bert-labr-unbalanced
bert-labr-unbalanced is a text classification model from mofawzy. Use it when you need a label for a piece of text. It is set up for transformers.
Arabic version bert model fine tuned on LABR dataset
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From the Hugging Face model README
BERT-LABR unbalanced
Arabic version bert model fine tuned on LABR dataset
Data
The model were fine-tuned on ~63000 book reviews in arabic using bert large arabic
Results
| class | precision | recall | f1-score | Support |
|---|---|---|---|---|
| 0 | 0.8109 | 0.6832 | 0.7416 | 1670 |
| 1 | 0.9399 | 0.9689 | 0.9542 | 8541 |
| Accuracy | 0.9221 | 10211 |
How to use
You can use these models by installing torch or tensorflow and Huggingface library transformers. And you can use it directly by initializing it like this:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model_name="mofawzy/bert-labr-unbalanced"
model = AutoModelForSequenceClassification.from_pretrained(model_name,num_labels=2)
tokenizer = AutoTokenizer.from_pretrained(model_name)
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Languages
- ar
- Created
- Mar 2, 2022
- Updated
- Jan 3, 2025