Update README.md

README.md

@@ -9,6 +9,10 @@ metrics:
 model-index:
 - name: nllb-200-distilled-600M-OpenSLR-GL-EN
   results: []
+datasets:
+- juanjucm/OpenSLR-SpeechT-GL-EN
+language:
+- gl
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,7 +20,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # nllb-200-distilled-600M-OpenSLR-GL-EN
 
-This model is a fine-tuned version of [facebook/nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) on the None dataset.
+This model is a fine-tuned version of [facebook/nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) on [juanjucm/OpenSLR-SpeechT-GL-EN](https://huggingface.co/datasets/juanjucm/OpenSLR-SpeechT-GL-EN) dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.0122
 - Bleu: 73.6259
@@ -67,4 +71,4 @@ The following hyperparameters were used during training:
 - Transformers 4.47.1
 - Pytorch 2.4.1+cu121
 - Datasets 3.2.0
-- Tokenizers 0.21.0
+- Tokenizers 0.21.0