Update README.md

README.md

@@ -5,33 +5,23 @@ tags:
 metrics:
 - wer
 model-index:
-- name: xls-r-300m-et-clinic
+- name: xls-r-300m-et-children
   results: []
+language:
+- et
+library_name: transformers
 ---
 
 <!-- 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. -->
 
-# xls-r-300m-et-clinic
+# xls-r-300m-et-children
 
-This model is a fine-tuned version of [TalTechNLP/xls-r-300m-et](https://huggingface.co/TalTechNLP/xls-r-300m-et) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.1926
-- Wer: 0.1430
+This model is a fine-tuned version of [TalTechNLP/xls-r-300m-et](https://huggingface.co/TalTechNLP/xls-r-300m-et) on an Estonian children's speech dataset.
 
-## Model description
+More information about the model's performance and the data used for evaluation and training:
 
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
+Luhtaru, Agnes; Jaaska, Rauno; Kruusamäe, Karl; Fishel, Mark (2023). Automatic Transcription for Estonian Children’s Speech. In: Proceedings of the 24th Nordic Conference on Computational Linguistics. [https://openreview.net/forum?id=xbPTfBIUby](https://openreview.net/forum?id=xbPTfBIUby)
 
 ### Training hyperparameters
 
@@ -95,4 +85,4 @@ The following hyperparameters were used during training:
 - Transformers 4.26.0.dev0
 - Pytorch 1.12.1+rocm5.1.1
 - Datasets 2.7.1.dev0
-- Tokenizers 0.13.2
+- Tokenizers 0.13.2