update README

README.md

@@ -1,6 +1,6 @@
 ---
 language:
-  - hi
+  - eu
   - en
 tags:
 - translation
@@ -9,21 +9,21 @@ license: cc-by-4.0
 
 ### HPLT MT release v1.0
 
-This repository contains the translation model for hi-en trained with HPLT data only. For usage instructions, evaluation scripts, and inference scripts, please refer to the [HPLT-MT-Models v1.0](https://github.com/hplt-project/HPLT-MT-Models/tree/main/v1.0) GitHub repository.
+This repository contains the translation model for eu-en trained with HPLT data only. For usage instructions, evaluation scripts, and inference scripts, please refer to the [HPLT-MT-Models v1.0](https://github.com/hplt-project/HPLT-MT-Models/tree/main/v1.0) GitHub repository.
 
 ### Model Info
 
-* Source language: hi
-* Target language: en
+* Source language: Basque
+* Target language: English
 * Data: HPLT data only
 * Model architecture: Transformer-base
 * Tokenizer: SentencePiece (Unigram)
-* Cleaning: We used OpusCleaner with a set of basic rules. Details can be found in the filter files in [Github](https://github.com/hplt-project/HPLT-MT-Models/tree/main/v1.0/data/en-hi/raw/v0)
+* Cleaning: We used OpusCleaner with a set of basic rules. Details can be found in the filter files in [Github](https://github.com/hplt-project/HPLT-MT-Models/tree/main/v1.0/data/en-eu/raw/v0)
 
 You can also read our deliverable report [here](https://hplt-project.org/HPLT_D5_1___Translation_models_for_select_language_pairs.pdf) for more details.
 
 ### Usage
-*Note* that for quality considerations, we recommend using `[HPLT/translate-hi-en-v1.0-hplt_opus](https://huggingface.co/HPLT/translate-hi-en-v1.0-hplt_opus)` instead of this model.
+**Note** that for quality considerations, we recommend using [HPLT/translate-eu-en-v1.0-hplt_opus](https://huggingface.co/HPLT/translate-eu-en-v1.0-hplt_opus) instead of this model.
 
 The model has been trained with Marian. To run inference, refer to the [Inference/Decoding/Translation](https://github.com/hplt-project/HPLT-MT-Models/tree/main/v1.0#inferencedecodingtranslation) section of our GitHub repository.
 
@@ -33,8 +33,8 @@ The model can be used with the Hugging Face framework if the weights are convert
 
 | testset                                | BLEU | chrF++ | COMET22 |
 | -------------------------------------- | ---- | ----- | ----- |
-| flores200     | 35.2 | 59.9  | 0.8741  |
-| ntrex | 27.4   | 54.6  | 0.8485  |
+| flores200     | 19.4 | 45.7  | 0.781  |
+| ntrex | 15.7   | 41.4  | 0.743  |
 
 ### Acknowledgements