metadata
library_name: transformers
tags: []
Model Card for Model ID
This model was developed by finetuning the DistilBERT Nepali Model. The model classifies the Nepali tweets related to COVID19 into three categories: neutral, positive and negative.
- Developed by: Jeevan
- Model type: DistilBERT Nepali
- Language(s) (NLP): Nepali
- Finetuned from model [optional]: DistilBERT Nepali Model
Training Details
Training Data
The dataset used for finetuning this model can be found at NepCOV19Tweets which contains Nepali tweets related to COVID-19.
Training HyperParameters
- Batch size: 16
- Learning Rate: 0.0001
- Optimizer: AdamW
- Epochs: 10
Evaluation
- Training loss: 0.2414
- Precision: 0.73
- Recall: 0.73
- F1 Score (Weighted): 0.73
Labels
- Neutral: 0
- Positive: 1
- Negative: 2
USAGE
from transformers import pipeline
pipe = pipeline("text-classification", model="xap/Sentiment_Analysis_NepaliCovidTweets")
pipe("अमेरिकामा कोभिड बाट एकै दिन चार हजारभन्दा बढीको मृत्यु")