Update README.md

README.md

@@ -1,31 +1,28 @@
 ---
-license: apache-2.0
-base_model: t5-large
 tags:
 - generated_from_trainer
+- summarization
+- finance
 model-index:
-- name: T5-large-10K-summarization
+- name: T5-Large-10K-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-Large-10K-Summarization
 
-# T5-large-10K-summarization
-
-This model is a fine-tuned version of [t5-large](https://huggingface.co/t5-large) on an unknown dataset.
+This model is a fine-tuned version of Google's T5-Large model, designed to summarize sections of financial 10K reports efficiently.
 
 ## Model description
 
-More information needed
+T5-Large-10K-Summarization excels in distilling complex financial information into clear, concise summaries, aiding in faster decision-making processes.
 
 ## Intended uses & limitations
 
-More information needed
+This model is specifically designed for financial professionals needing quick summaries of extensive financial reports. It is not intended for use with general news articles or non-financial documents.
 
 ## Training and evaluation data
 
-More information needed
+The model was trained on a large corpus of financial reports, each section manually summarized to train the model effectively.
 
 ## Training procedure
 
@@ -42,6 +39,6 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- Transformers 4.39.3
-- Pytorch 2.2.2+cu121
-- Tokenizers 0.15.2
+- Transformers 4.40.0
+- Pytorch 2.2.1+cu121
+- Tokenizers 0.19.1