Update README.md

README.md

@@ -5,33 +5,24 @@ tags:
 metrics:
 - wer
 model-index:
-- name: whisper-large-et-clinic
+- name: whisper-large-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. -->
 
-# whisper-large-et-clinic
+# whisper-large-et-children
 
-This model is a fine-tuned version of [agnesluhtaru/whisper-large-et-ERR2020-v2](https://huggingface.co/agnesluhtaru/whisper-large-et-ERR2020-v2) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.3714
-- Wer: 15.5585
+This model is a fine-tuned version of [agnesluhtaru/whisper-large-et-ERR2020-v2](https://huggingface.co/agnesluhtaru/whisper-large-et-ERR2020-v2) 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
+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)
 
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
 
 ### Training hyperparameters
 
@@ -63,4 +54,4 @@ 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