Update README.md

README.md

@@ -12,6 +12,26 @@ models:
 metrics:
 - accuracy
 - loss
+model-index:
+- name: deberta-v3-base-funetuned-cls-qqa
+  results:
+  - task:
+      type: text-classification
+      name: Text Classification
+    dataset:
+      name: qqp
+      type: qqp
+      config: sst2
+      split: validation
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.917969
+      verified: true
+    - name: loss
+      type: loss
+      value: 0.217410
+      verified: true
 pipeline_tag: text-classification
 widget:
 - text: How is the life of a math student? Could you describe your own experiences? Which level of preparation is enough for the exam jlpt5?
@@ -54,6 +74,23 @@ gradient_accumulation_steps=8
 
 - [wandb - deberta_qqa_classification](https://wandb.ai/ai-ahmed/deberta_qqa_classification?workspace=user-ai-ahmed)
 
+## Model Testing
+
+```python
+import torch
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
+model_name = "AI-Ahmed/deberta-v3-base-funetuned-cls-qqa"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForSequenceClassification.from_pretrained(model_name)
+tokenized_input = tokenizer("How is the life of a math student? Could you describe your own experiences? Which level of preparation is enough for the exam jlpt5?", return_tensors="pt")
+
+with torch.no_grad():
+  logits = model(**tokenized_input).logits
+
+predicted_class_id = logits.argmax().item()
+model.config.id2label[predicted_class_id]
+```
+
 ## Information Citation
 
 ```bibtex
@@ -65,4 +102,4 @@ booktitle={International Conference on Learning Representations},
 year={2021},
 url={https://openreview.net/forum?id=XPZIaotutsD}
 }
-```
+```