End of training

README.md

@@ -8,13 +8,13 @@ datasets:
 metrics:
 - wer
 model-index:
-- name: whisper-tiny-finetuned-gtzan
+- name: whisper-tiny
   results:
   - task:
-      name: Audio Classification
-      type: audio-classification
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
     dataset:
-      name: minds14
+      name: PolyAI/minds14
       type: PolyAI/minds14
       config: en-US
       split: train
@@ -28,9 +28,9 @@ model-index:
 <!-- 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-tiny-finetuned-gtzan
+# whisper-tiny
 
-This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the minds14 dataset.
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.7776
 - Wer Ortho: 34.1857