Update README.md

README.md

@@ -4,11 +4,12 @@ datasets:
 - pcuenq/oxford-pets
 metrics:
 - accuracy
+pipeline_tag: image-classification
 ---
 
 # CLIP ViT Base Patch32 Fine-tuned on Oxford Pets
 
-This model is a fine-tuned version of OpenAI's CLIP model on the Oxford Pets dataset.
+This model is a fine-tuned version of OpenAI's CLIP model on the Oxford Pets dataset, intended for pets classification.
 
 ## Training Information
 
@@ -17,8 +18,15 @@ This model is a fine-tuned version of OpenAI's CLIP model on the Oxford Pets dat
 - **Training Epochs**: 4
 - **Batch Size**: 256
 - **Learning Rate**: 3e-6
-- **Accuracy**: 93.74%
+- **Test Accuracy**: 93.74%
 
+## Parameters Information
+
+Trainable params: 151.2773M || All params: 151.2773M || Trainable%: 100.00%
+
+## Bias, Risks, and Limitations
+
+Refer to the original [CLIP repository](https://huggingface.co/openai/clip-vit-base-patch32).
 
 ## License
 [MIT]