Update model card.

README.md

@@ -16,11 +16,17 @@ widget:
 
 # wav2vec2-xls-r-parlaspeech-hr
 
-This model for Croatian ASR is based on the [facebook/wav2vec2-xls-r-300m model](https://huggingface.co/facebook/wav2vec2-xls-r-300m) and was fine-tuned with 72 hours of recordings and transcripts from the Croatian parliament. This training dataset is an early result of the second iteration of the [ParlaMint project](https://www.clarin.eu/content/parlamint-towards-comparable-parliamentary-corpora) inside which the dataset will be extended and published under the name of ParlaSpeech-HR and an open licence.
+This model for Croatian ASR is based on the [facebook/wav2vec2-xls-r-300m model](https://huggingface.co/facebook/wav2vec2-xls-r-300m) and was fine-tuned with 300 hours of recordings and transcripts from the Croatian parliament available [here](https://www.clarin.si/repository/xmlui/handle/11356/1494).
 
 The efforts resulting in this model were coordinated by Nikola Ljubešić, the rough manual data alignment was performed by Ivo-Pavao Jazbec, the method for fine automatic data alignment from [Plüss et al.](https://arxiv.org/abs/2010.02810) was applied by Vuk Batanović and Lenka Bajčetić, the transcripts were normalised by Danijel Korzinek, while the final modelling was performed by Peter Rupnik.
 
-Initial evaluation on partially noisy data showed the model to achieve a word error rate of 13.68% and a character error rate of 4.56%.
+## Metrics
+
+|split|CER|WER|
+|---|---|---|
+|dev|0.0335|0.1046|
+|test|0.0234|0.0761|
+
 
 ## Usage in `transformers`
 
@@ -58,6 +64,8 @@ transcription = processor.decode(predicted_ids[0]).lower()
 # transcription: 'veliki broj poslovnih subjekata posluje sa minusom velik dio'
 ```
 
+
+
 ## Training hyperparameters
 
 In fine-tuning, the following arguments were used: