Update README.md

README.md

@@ -8,6 +8,12 @@ metrics:
 model-index:
 - name: wikisum
   results: []
+datasets:
+- d0rj/wikisum
+language:
+- en
+library_name: transformers
+pipeline_tag: summarization
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,7 +21,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # wikisum
 
-This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an [wikisum](https://huggingface.co/datasets/d0rj/wikisum) dataset.
 It achieves the following results on the evaluation set:
 - Loss: 2.2922
 - Rouge1: 0.1811
@@ -26,15 +32,16 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-More information needed
+t5-small model fine-tuned on wikisum dataset.
 
 ## Intended uses & limitations
 
-More information needed
+Intended use: sumamrization of informatic articles.
+Limitations : may generate misleading information.
 
 ## Training and evaluation data
 
-More information needed
+check out [wikisum](https://huggingface.co/datasets/d0rj/wikisum) dataset
 
 ## Training procedure
 
@@ -65,4 +72,4 @@ The following hyperparameters were used during training:
 - Transformers 4.41.2
 - Pytorch 2.3.0+cu121
 - Datasets 2.19.2
-- Tokenizers 0.19.1
+- Tokenizers 0.19.1