Update README.md

README.md

@@ -47,19 +47,49 @@ model-index:
       - name: CER
         type: cer
         value: 1.66
+  - task: 
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: FLEURS
+      type: fleurs
+      args: gl_es
+    metrics:
+      - name: WER
+        type: wer
+        value: 15.83
+      - name: CER
+        type: cer
+        value: 5.08
+  - task: 
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Nos_Parlaspeech-GL
+      type: nos_parlaspeech-GL
+      args: clean
+    metrics:
+      - name: WER
+        type: wer
+        value: 8.92
+      - name: CER
+        type: cer
+        value: 2.65
 ---
 ## Wav2Vec2-XLS-R-300M-GL
 
 This model is a finetuned version of [Facebook's Wav2Vec2 XLS-R 300M](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for Galician on the datasets [Common Voice Corpus 17.0](https://datacollective.mozillafoundation.org/datasets/cmj8u3p5r009tnxxb88cqm12d), [Open SLR77](https://www.openslr.org/77), [FalAI](https://huggingface.co/datasets/GTM-UVigo/FalAI), [Fleurs](https://huggingface.co/datasets/google/fleurs) and [Nos_ParlaSpeech-GL](https://huggingface.co/datasets/proxectonos/Nos_Parlaspeech-GL).
 
 ### Test
-This model has been tested in the test splits of the Galician OpenSLR dataset and the Galician Common Voice 17.0 dataset.
+This model has been tested in the test splits of the Galician OpenSLR dataset, the Galician Common Voice 17.0 dataset, the Galician FLEURS dataset and Nos_Parlaspeech-GL.
 The results are shown in the following tables:
 
 |Corpus|WER|CER|RTF|
 |:-----|:--|:--|:--|
 |Common Voice 17.0|7.85|1.66|0.0085|
 |Open SLR77|12.04|3.82|0.0087|
+|FLEURS|15.83|5.08|0.0091|
+|Nos_Parlaspeech-GL|8.92|2.65|0.0114|
 
 ### Citation information