Update README.md

README.md

@@ -7,6 +7,8 @@ tags:
 base_model: openai/whisper-tiny
 datasets:
 - mozilla-foundation/common_voice_17_0
+- google/fleurs
+- facebook/voxpopuli
 metrics:
 - wer
 model-index:
@@ -49,14 +51,18 @@ model-index:
     - type: wer
       value: 11.31
       name: WER
+pipeline_tag: automatic-speech-recognition
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# Whisper Medium en
+# Whisper tiny mixed-English
+
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the "en" datasets:
+- mozilla-foundation/common_voice_17_0
+- google/fleurs
 
-This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 17.0 dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.6272
 - Wer: 26.4827
@@ -103,4 +109,4 @@ The following hyperparameters were used during training:
 - Transformers 4.42.0.dev0
 - Pytorch 2.3.0+cu121
 - Datasets 2.19.1
-- Tokenizers 0.19.1
+- Tokenizers 0.19.1