Update README.md

README.md

@@ -45,7 +45,7 @@ language:
 
 # Salamandra Model Card
 
-SalamandraTA-7b-instruct is a translation LLM that has been instruction-tuned from SalamandraTA-7b-base. The base model results from continually pre-training [Salamandra-7b](https://huggingface.co/BSC-LT/salamandra-7b) on parallel data. The model is proficent in 37 european languages and support translation-related tasks, namely: sentence-level-translation, paragraph-level-translation, document-level-translation, automatic post edition, machine translation evaluation, multi-reference-translation, named-entity-recognition and context-aware translation.
+SalamandraTA-7b-instruct is a translation LLM that has been instruction-tuned from SalamandraTA-7b-base. The base model results from continually pre-training [Salamandra-7b](https://huggingface.co/BSC-LT/salamandra-7b) on parallel data. The model is proficent in 37 european languages and support translation-related tasks, namely: sentence-level-translation, paragraph-level-translation, document-level-translation, automatic post-editing, machine translation evaluation, multi-reference-translation, named-entity-recognition and context-aware translation.
 
 > [!WARNING]
 > **DISCLAIMER:** This version of Salamandra is tailored exclusively for translation tasks. It lacks chat capabilities and has not been trained with any chat instructions.
@@ -83,8 +83,7 @@ You can translate between the following 37 languages:
 
 Aragonese, Aranese, Asturian, Basque, Bulgarian, Croatian, Czech, Danish, Dutch, English, Estonian, Finnish, French, Galician, German, Greek, Hungarian, Irish, Italian, Latvian, Lithuanian, Maltese, Norwegian Bokmål, Norwegian Nynorsk, Occitan, Polish, Portuguese, Romanian, Russian, Serbian, Slovak, Slovenian, Spanish, Swedish, Ukrainian, Valencian, Welsh.
 
-
-The instruction-following models use the commonly adopted ChatML template:
+The instruction-following model use the commonly adopted ChatML template:
 
 ```
 <|im_start|>system
@@ -152,7 +151,7 @@ Using this template, each turn is preceded by a `<|im_start|>` delimiter and the
 
 ### Post-edition
 
-For post-edition tasks you can try using the following prompt template:
+For post-editing tasks you can try using the following prompt template:
 
 ```python
 source = 'Catalan'
@@ -318,7 +317,7 @@ The non-public portion of this dataset was jointly created by BSC, HiTZ, and CiT
 
 ## Evaluation
 
-Below are the evaluation results on the Flores+200 devtest set, compared against the state-of-the-art MADLAD400-7B model ([Kudugunta, S., et al.](https://arxiv.org/abs/2309.04662)). These results cover translation directions between CA-XX, ES-XX, EN-XX, as well as XX-CA, XX-ES, and XX-EN. The metrics have been computed excluding Asturian, Aranese, and Aragonese as we report them separately. The evaluation was conducted using [MT Lens](https://github.com/langtech-bsc/mt-evaluation) following the standard setting (beam search with beam size 5, limiting the translation length to 500 tokens). We report the following metrics:
+Below are the evaluation results on the [Flores+200 devtest set](https://huggingface.co/datasets/openlanguagedata/flores_plus), compared against the state-of-the-art MADLAD400-7B model ([Kudugunta, S., et al.](https://arxiv.org/abs/2309.04662)) and SalamandraTA-7b-base model. These results cover translation directions between CA-XX, ES-XX, EN-XX, as well as XX-CA, XX-ES, and XX-EN. The metrics have been computed excluding Asturian, Aranese, and Aragonese as we report them separately. The evaluation was conducted using [MT Lens](https://github.com/langtech-bsc/mt-evaluation) following the standard setting (beam search with beam size 5, limiting the translation length to 500 tokens). We report the following metrics:
 
 <details>
 <summary>Click to show metrics details</summary>