Switched position of tables

README.md

@@ -183,6 +183,27 @@ The model was evaluated using the following metrics:
 
 <img src="https://huggingface.co/CoRal-dataset/roest-wav2vec2-315m-v2/resolve/main/images/cer.png">
 
+### Table WER scores in % of evaluation across demographics on the CoRal test data
+| Category | roest-whisper-large-v1 | roest-wav2vec2-315m-v1 | roest-wav2vec2-315m-v2 |
+|:---:|:---:|:---:|:---:|
+| female | 11.5 | 18.5 | 17.7 |
+| male | 9.4 | 15.5 | 14.9 |
+| 0-25 | 9.0 | 14.7 | 14.0 |
+| 25-50 | 10.1 | 16.6 | 15.8 |
+| 50+ | 11.3 | 18.2 | 17.7 |
+| Bornholmsk | 9.8 | 17.7 | 15.7 |
+| Fynsk | 12.1 | 18.3 | 17.7 |
+| Københavnsk | 5.9 | 10.2 | 10.0 |
+| Non-native | 12.2 | 20.9 | 19.4 |
+| Nordjysk | 4.5 | 7.7 | 7.5 |
+| Sjællandsk | 7.6 | 12.6 | 12.7 |
+| Sydømål | 10.0 | 14.9 | 15.3 |
+| Sønderjysk | 17.5 | 26.0 | 25.4 |
+| Vestjysk | 15.0 | 26.3 | 25.2 |
+| Østjysk | 7.5 | 11.7 | 11.3 |
+| Overall | 10.4 | 17.0 | 16.3 |
+
+
 ### Table CER scores in % of evaluation across demographics on the CoRal test data
 | Category | roest-whisper-large-v1 | roest-wav2vec2-315m-v1 | roest-wav2vec2-315m-v2 |
 |:---:|:---:|:---:|:---:|
@@ -203,25 +224,6 @@ The model was evaluated using the following metrics:
 | Østjysk | 2.6 | 4.0 | 4.1 |
 | Overall | 4.3 | 6.6 | 6.5 |
 
-### Table WER scores in % of evaluation across demographics on the CoRal test data
-| Category | roest-whisper-large-v1 | roest-wav2vec2-315m-v1 | roest-wav2vec2-315m-v2 |
-|:---:|:---:|:---:|:---:|
-| female | 11.5 | 18.5 | 17.7 |
-| male | 9.4 | 15.5 | 14.9 |
-| 0-25 | 9.0 | 14.7 | 14.0 |
-| 25-50 | 10.1 | 16.6 | 15.8 |
-| 50+ | 11.3 | 18.2 | 17.7 |
-| Bornholmsk | 9.8 | 17.7 | 15.7 |
-| Fynsk | 12.1 | 18.3 | 17.7 |
-| Københavnsk | 5.9 | 10.2 | 10.0 |
-| Non-native | 12.2 | 20.9 | 19.4 |
-| Nordjysk | 4.5 | 7.7 | 7.5 |
-| Sjællandsk | 7.6 | 12.6 | 12.7 |
-| Sydømål | 10.0 | 14.9 | 15.3 |
-| Sønderjysk | 17.5 | 26.0 | 25.4 |
-| Vestjysk | 15.0 | 26.3 | 25.2 |
-| Østjysk | 7.5 | 11.7 | 11.3 |
-| Overall | 10.4 | 17.0 | 16.3 |
 
 ### Roest-wav2vec2-315M with and without language model
 The inclusion of a post-processing language model can affect the performance significantly. The Roest-v1 and Roest-v2 models are using the same Language Model (LM). The utilized LM is the one trained and used by [alexandrainst/roest-wav2vec2-315m-v1](https://huggingface.co/alexandrainst/roest-315m).