fixing typos

README.md

@@ -26,7 +26,7 @@ license: apache-2.0
  
 ## Model description
 
-This model was trained from scratch using the [Fairseq toolkit](https://fairseq.readthedocs.io/en/latest/) on a combination of Galician-Catalan datasets totalling 10.017.995 sentence pairs. 4.267.995 sentence pairs were parallel data collected from the web while the remaining 5.750.000 sentence pairs were parallel synthetic data created using the GL-EU translator of [Proxecto Nós](https://huggingface.co/proxectonos/Nos_MT-OpenNMT-es-gl). The model was evaluated on the Flores, TaCon and NTREX evaluation datasets. 
+This model was trained from scratch using the [Fairseq toolkit](https://fairseq.readthedocs.io/en/latest/) on a combination of Galician-Catalan datasets totalling 10.017.995 sentence pairs. 4.267.995 sentence pairs were parallel data collected from the web while the remaining 5.750.000 sentence pairs were parallel synthetic data created using the GL-ES translator of [Proxecto Nós](https://huggingface.co/proxectonos/Nos_MT-OpenNMT-es-gl). The model was evaluated on the Flores, TaCon and NTREX evaluation datasets. 
 
 ## Intended uses and limitations
 
@@ -123,7 +123,7 @@ Weights were saved every 1000 updates and reported results are the average of th
 We use the BLEU score for evaluation on test sets: [Flores-200](https://github.com/facebookresearch/flores/tree/main/flores200), [TaCon](https://elrc-share.eu/repository/browse/tacon-spanish-constitution-mt-test-set/84a96138b98611ec9c1a00155d02670628f3e6857b0f422abd82abc3795ec8c2/) and [NTREX](https://github.com/MicrosoftTranslator/NTREX)
 ### Evaluation results
 Below are the evaluation results on the machine translation from Galician to Catalan compared to [M2M100 1.2B](https://huggingface.co/facebook/m2m100_1.2B), [NLLB 200 3.3B](https://huggingface.co/facebook/nllb-200-3.3B) and [ NLLB-200's distilled 1.3B variant](https://huggingface.co/facebook/nllb-200-distilled-1.3B):
-| Test set         	|M2M100 1.2B| NLLB 1.3B | NLLB 3.3 |mt-aina-eu-ca|
+| Test set         	|M2M100 1.2B| NLLB 1.3B | NLLB 3.3 |mt-aina-gl-ca|
 |----------------------|-------|-----------|------------------|---------------|
 | Flores 200 devtest   	|32,6| 22,3   	| **34,3**   	| 32,4     	|
 | TaCON                 |56,5|32,2  	    | 54,1      	| **58,2**     	|