Small nit-pick changes

README.md

@@ -186,7 +186,7 @@ Note that the high generalization error on conversation data for models trained
 | Model                                                                                         | Number of parameters |   Finetuned on data of type | Postprocessed with Language Model | [CoRal](https://huggingface.co/datasets/alexandrainst/coral/viewer/read_aloud/test) CER | [CoRal](https://huggingface.com/datasets/alexandrainst/coral/viewer/read_aloud/test) WER |
 | :-------------------------------------------------------------------------------------------- | -------------------: | --------------------------: | --------------------------------: | --------------------------------------------------------------------------------------: | --------------------------------------------------------------------------------------: |
 | CoRal-project/roest-wav2vec2-1B-v2 (This model) |                 1B | Read-aloud and conversation |                               Yes |                                                                         **6.5% ± 0.2%** |                                                                        **16.4% ± 0.4%** |
-| CoRal-project/roest-wav2vec2-1B-v2 (This model) |                 1B | Read-aloud and conversation |                                No |                                                                             8.1% ± 0.2% |                                                                            23.9% ± 0.4% |
+| CoRal-project/roest-wav2vec2-1B-v2 |                 1B | Read-aloud and conversation |                                No |                                                                             8.1% ± 0.2% |                                                                            23.9% ± 0.4% |
 | [CoRal-project/roest-wav2vec2-315M-v2](https://huggingface.co/CoRal-project/roest-wav2vec2-315m-v2) |                 315M | Read-aloud and conversation |                               Yes |                                                                         **6.5% ± 0.2%** |                                                                        **16.3% ± 0.4%** |
 | [CoRal-project/roest-wav2vec2-315M-v2](https://huggingface.co/CoRal-project/roest-wav2vec2-315m-v2) |                 315M | Read-aloud and conversation |                                No |                                                                             8.2% ± 0.2% |                                                                            25.1% ± 0.4% |
 | [CoRal-project/roest-wav2vec2-315m-v1](https://huggingface.co/CoRal-project/roest-wav2vec2-315m-v1)                   |                 315M |                  Read-aloud |                               Yes |                                                                             6.6% ± 0.2% |                                                                            17.0% ± 0.4% |
@@ -201,10 +201,10 @@ The model was also tested against other datasets to evaluate generalizability:
 |                                                                                       | **Røst-whisper-large-v1** |         | **Røst-wav2vec2-315M-v1** |       | **Røst-wav2vec2-315M-v2** |         | **Røst-wav2vec2-1B-v2** |         |
 | ------------------------------------------------------------------------------------- | -------------------------- | ------- | -------------------------- | ----- | -------------------------- | ------- | ------------------------ | ------- |
 | **Evaluation Dataset**                                                                | **WER %**                  | **CER %** | **WER %**                  | **CER %** | **WER %**                  | **CER %**   | **WER %**                | **CER %** |
-| [CoRal](https://huggingface.co/datasets/CoRal-project/coral/viewer/read_aloud/test)   | **10.4**                   | **4.3** | 17.0                       | 6.6   | **16.3**                   | **6.5** | 16.4                     | **6.5** |
+| [CoRal](https://huggingface.co/datasets/CoRal-project/coral/viewer/read_aloud/test)   | **10.4**                   | **4.3** | 17.0                       | 6.6   | 16.3                  | 6.5 | 16.4                     | **6.5** |
 | [NST-da](https://huggingface.co/datasets/alexandrainst/nst-da)                        | 29.8                       | 14.5    | 29.7                       | 13.9  | 26.1                       | 11.9    | **12.4**                 | **4.9** |
 | [CommonVoice17](https://huggingface.co/datasets/mozilla-foundation/common_voice_17_0) | 15.6                       | 8.2     | 16.7                       | 6.6   | **14.4**                   | **5.4** | 26.3                     | 10.9    |
-| [Fleurs-da_dk](https://huggingface.co/datasets/google/fleurs)                         | **12.6**                   | **5.1** | 16.6                       | 6.3   | 15.6                       | 6.1     | **13.7**                 | **5.5** |
+| [Fleurs-da_dk](https://huggingface.co/datasets/google/fleurs)                         | **12.6**                   | **5.1** | 16.6                       | 6.3   | 15.6                       | 6.1     | 13.7                 | 5.5 |
 
 **OBS!** The vocab used for training incudes numerals (0,1,2,..,9), which are translated to text in a post-processing step. If the model misses spaces the numbers are interpreted as one, which especially affects the NST score as this dataset contains many numerals.