Update README.md

README.md

@@ -3,29 +3,28 @@ license: apache-2.0
 base_model: t5-base
 tags:
 - generated_from_trainer
+- summarization
+- finance-news
 model-index:
-- name: T5-base-news-summarization
+- name: t5-base-finance-news-summarization
   results: []
 ---
 
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
+# t5-base-finance-news-summarization
 
-# T5-base-news-summarization
-
-This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
+This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) for the purpose of summarizing finance-related news articles.
 
 ## Model description
 
-More information needed
+T5-Base Finance News Summarization is optimized for transforming lengthy financial news into concise summaries. This tool aids stakeholders in quickly understanding market dynamics and financial updates without reading full articles.
 
 ## Intended uses & limitations
 
-More information needed
+The model is intended for use in financial sectors by analysts, economists, and journalists needing quick summaries of finance news. It may not perform well with general news or in highly technical or academic finance contexts.
 
 ## Training and evaluation data
 
-More information needed
+Trained on a diverse collection of finance news articles from various reputable financial news sources, annotated with summaries to provide a comprehensive learning base.
 
 ## Training procedure
 
@@ -36,7 +35,7 @@ The following hyperparameters were used during training:
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- optimizer: Adam with betas=(0.9, 0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - num_epochs: 3.0