Upload README.md

README.md

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+---
+library_name: transformers
+tags: []
+---
+
+# Model Card for Model ID
+
+This model was developed by finetuning the [DistilBERT Nepali Model](https://huggingface.co/Sakonii/distilbert-base-nepali).
+
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
+
+- **Developed by:** Jeevan
+- **Model type:** DistilBERT Nepali
+- **Language(s) (NLP):** Nepali
+- **Finetuned from model [optional]:** [DistilBERT Nepali Model](https://huggingface.co/Sakonii/distilbert-base-nepali)
+
+
+
+## Training Details
+
+### Training Data
+
+The dataset used for finetuning this model can be found at [NepCOV19Tweets](https://www.kaggle.com/datasets/mathew11111/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
+
+```python
+from transformers import pipeline
+
+pipe = pipeline("text-classification", model="xap/Sentiment_Analysis_NepaliCovidTweets")
+pipe("अमेरिकामा कोभिड बाट एकै दिन चार हजारभन्दा बढीको मृत्यु")
+```