Update README.md

README.md

@@ -10,6 +10,7 @@ metrics:
 model-index:
 - name: Whisper Small Ka - tsobolev
   results: []
+pipeline_tag: automatic-speech-recognition
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -17,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Whisper Small Ka - tsobolev
 
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
-It achieves the following results on the evaluation set:
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the CV14 dataset.
+It achieves the following results on the test set:
 - Loss: 0.0542
 - Wer Ortho: 0.2785
 - Wer: 0.2470
@@ -33,7 +34,8 @@ More information needed
 
 ## Training and evaluation data
 
-More information needed
+Training - Mozilla Common Voice 14 train split
+Validation - Mozilla Common Voice 14 test split
 
 ## Training procedure
 
@@ -61,4 +63,4 @@ The following hyperparameters were used during training:
 - Transformers 4.32.1
 - Pytorch 2.0.0
 - Datasets 2.14.4
-- Tokenizers 0.13.3
+- Tokenizers 0.13.3