Update README.md

README.md

@@ -5,6 +5,10 @@ tags:
 model-index:
 - name: PointCon-vigogne-2-13b-instruct-QLoRA-Instruct
   results: []
+datasets:
+- IUseAMouse/POINTCON-QA-Light
+language:
+- fr
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -12,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # PointCon-vigogne-2-13b-instruct-QLoRA-Instruct
 
-This model is a fine-tuned version of [bofenghuang/vigogne-2-13b-instruct](https://huggingface.co/bofenghuang/vigogne-2-13b-instruct) on the None dataset.
+This model is a fine-tuned version of [bofenghuang/vigogne-2-13b-instruct](https://huggingface.co/bofenghuang/vigogne-2-13b-instruct) on the Point Con Texts dataset.
 It achieves the following results on the evaluation set:
 - Loss: 1.8921
 
@@ -53,4 +57,4 @@ The following hyperparameters were used during training:
 - Transformers 4.32.1
 - Pytorch 2.0.1+cu118
 - Datasets 2.14.4
-- Tokenizers 0.13.3
+- Tokenizers 0.13.3