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bert-arsentd-lev
mofawzy/bert-arsentd-lev
bert-arsentd-lev 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 ArSentD-LEV dataset
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From the Hugging Face model README
bert-arsentd-lev
Arabic version bert model fine tuned on ArSentD-LEV dataset
Data
The model were fine-tuned on ~4000 sentence from twitter multiple dialect and five classes we used 3 out of 5 int the experiment.
Results
| class | precision | recall | f1-score | Support |
|---|---|---|---|---|
| 0 | 0.8211 | 0.8080 | 0.8145 | 125 |
| 1 | 0.7174 | 0.7857 | 0.7500 | 84 |
| 2 | 0.6867 | 0.6404 | 0.6628 | 89 |
| Accuracy | 0.7517 | 298 |
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-arsentd-lev"
model = AutoModelForSequenceClassification.from_pretrained(model_name,num_labels=3)
tokenizer = AutoTokenizer.from_pretrained(model_name)
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Languages
- ar
- Created
- Mar 2, 2022
- Updated
- Apr 7, 2023