MarieAlvenir commited on
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Removal of pre-release terms

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  1. README.md +3 -3
README.md CHANGED
@@ -30,8 +30,8 @@ model-index:
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  name: WER
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  ---
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- # Pre-release of røst-wav2vec2-1B-v2
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- This is a pre-release of a Danish state-of-the-art speech recognition model, trained as part of the CoRal project by [Alvenir](https://www.alvenir.ai/).
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  This repository contains a Wav2Vec2 model trained on the [CoRal-v2 dataset](https://huggingface.co/datasets/CoRal-project/coral-v2/tree/main). The CoRal-v2 dataset includes a rich variety of Danish conversational and read-aloud data, distributed across diverse age groups, genders, and dialects. The model is designed for automatic speech recognition (ASR).
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@@ -85,7 +85,7 @@ The model was evaluated using the following metrics:
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  ### Conversational CoRal Performance
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- The model was firstly evaluated on a tentative pre-release of the coral-v2 conversation dataset.
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  The results are tentative as the test set only includes 5 unique speakers, of which 4 are women. The test set includes 2 speakers with 'Fynsk' dialect, 1 with 'Sønderjysk', 1 with 'Non-native' and 1 'Nordjysk'.
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  name: WER
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  ---
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+ # Røst-wav2vec2-1B-v2
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+ This is a Danish state-of-the-art speech recognition model, trained as part of the CoRal project by [Alvenir](https://www.alvenir.ai/).
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  This repository contains a Wav2Vec2 model trained on the [CoRal-v2 dataset](https://huggingface.co/datasets/CoRal-project/coral-v2/tree/main). The CoRal-v2 dataset includes a rich variety of Danish conversational and read-aloud data, distributed across diverse age groups, genders, and dialects. The model is designed for automatic speech recognition (ASR).
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  ### Conversational CoRal Performance
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+ The model was firstly evaluated on a tentative version of the coral-v2 conversation dataset.
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  The results are tentative as the test set only includes 5 unique speakers, of which 4 are women. The test set includes 2 speakers with 'Fynsk' dialect, 1 with 'Sønderjysk', 1 with 'Non-native' and 1 'Nordjysk'.
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