Update README.md

README.md

@@ -10,6 +10,9 @@ metrics:
 model-index:
 - name: whisper-small-GL-EN
   results: []
+datasets:
+- juanjucm/FLEURS-SpeechT-GL-EN
+- juanjucm/OpenSLR-SpeechT-GL-EN
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -17,11 +20,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # whisper-small-GL-EN
 
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 2.3405
-- Wer: 71.9621
-- Bleu: 20.1999
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on [juanjucm/FLEURS-SpeechT-GL-EN](https://huggingface.co/datasets/juanjucm/FLEURS-SpeechT-GL-EN).
+The training dataset has been augmented using train split from [juanjucm/OpenSLR-SpeechT-GL-EN](https://huggingface.co/datasets/juanjucm/OpenSLR-SpeechT-GL-EN)
+
+It achieves the following results on the evaluation set (evaluated only on [juanjucm/FLEURS-SpeechT-GL-EN](https://huggingface.co/datasets/juanjucm/FLEURS-SpeechT-GL-EN)):
+- Loss: 1.6335
+- Wer: 67.2612
+- Bleu: 22.2158
 
 ## Model description
 
@@ -72,4 +77,4 @@ The following hyperparameters were used during training:
 - Transformers 4.45.1
 - Pytorch 2.4.1+cu121
 - Datasets 3.0.1
-- Tokenizers 0.20.0
+- Tokenizers 0.20.0