Update README.md

# My Fine-Tuned Image Captioning Model
This model is a fine-tuned version of [Salesforce/blip-image-captioning-base](https://huggingface.co/Salesforce/blip-image-captioning-base) on a custom dataset. It generates captions for images based on visual features detected in the image.

## Model Description
This image captioning model uses BLIP architecture to generate descriptive captions for consumer electronics, appliances, and general items. Ideal for e-commerce platforms and accessibility applications.

## Intended Use and Limitations
- **Intended Use**: E-commerce platforms, accessibility apps, and content generation.
- **Limitations**: May produce repetitive phrases for unclear images.

## Training Details
Fine-tuned on a custom dataset with diverse images and captions.

## Evaluation and Metrics
Evaluated using BLEU and CIDEr, achieving BLEU 25 and CIDEr 100 on the test set.

## Model Usage
```python
# Code snippet for usage

README.md

@@ -3,9 +3,13 @@ language:
 - en
 base_model:
 - Salesforce/blip-image-captioning-base
-pipeline_tag: image-classification
+pipeline_tag: image-to-text
 tags:
 - art
+license: apache-2.0
+metrics:
+- bleu
+library_name: transformers
 ---
 # My Fine-Tuned Image Captioning Model