Update README.md

README.md

@@ -20,33 +20,15 @@ model-index:
     - name: Rouge1
       type: rouge
       value: 56.4468
+language:
+- tr
 ---
 
-<!-- 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. -->
-
-# mt5-xl-tr-summarization
+# mT5-Xl Turkish Summarization
 
 This model is a fine-tuned version of [google/mt5-xl](https://huggingface.co/google/mt5-xl) on the musabg/wikipedia-tr-summarization dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.5676
-- Rouge1: 56.4468
-- Rouge2: 41.3258
-- Rougel: 48.1909
-- Rougelsum: 48.4284
-- Gen Len: 75.9265
-
-## Model description
-
-More information needed
-
-## Intended uses & limitations
 
-More information needed
-
-## Training and evaluation data
-
-More information needed
+This can be used with HF summarization pipeline.
 
 ## Training procedure
 
@@ -63,6 +45,16 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 1.0
 
+### Eval results
+
+It achieves the following results on the evaluation set:
+- Loss: 0.5676
+- Rouge1: 56.4468
+- Rouge2: 41.3258
+- Rougel: 48.1909
+- Rougelsum: 48.4284
+- Gen Len: 75.9265
+
 ### Training results
 
 
@@ -72,4 +64,4 @@ The following hyperparameters were used during training:
 - Transformers 4.31.0.dev0
 - Pytorch 1.13.1
 - Datasets 2.12.0
-- Tokenizers 0.13.3
+- Tokenizers 0.13.3