Update README.md

README.md

@@ -13,18 +13,7 @@ pipeline_tag: text-classification
 metrics:
 - accuracy
 ---
-datasets:
-- stanfordnlp/imdb
-language:
-- en
-base_model:
-- distilbert/distilbert-base-uncased
-tags:
-- torch
-- code
-library_name: transformers
-pipeline_tag: text-classification
----
+
 # Model Card for DistilBERT Fine-Tuned on IMDB Sentiment Analysis
 
 This model is a fine-tuned version of `DistilBERT` for sentiment analysis on the IMDB movie reviews dataset. It classifies movie reviews into two categories: positive and negative sentiments.
@@ -35,8 +24,8 @@ This model is a fine-tuned version of `DistilBERT` for sentiment analysis on the
 
 This model has been fine-tuned on the IMDB dataset, which contains movie reviews labeled with sentiments: `positive` or `negative`. The model is based on the `DistilBERT` architecture, which is a lighter, more efficient variant of BERT, offering faster inference without significantly sacrificing accuracy.
 
-- **Developed by:** [Leonuraht/Scilineo]
-- **Shared by [optional]:** [Leonuraht/Scilineo]
+- **Developed by:** Leonuraht/Scilineo
+- **Shared by [optional]:** Leonuraht/Scilineo
 - **Model type:** Transformer-based model for text classification (sentiment analysis)
 - **Language(s) (NLP):** English
 - **Finetuned from model [optional]:** distilbert-base-uncased