Update README.md

README.md

@@ -1,20 +1,38 @@
 ---
+language:
+- et
 license: apache-2.0
 tags:
+- whisper-event
 - generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_11_0
 metrics:
 - wer
 model-index:
-- name: openai/whisper-small
-  results: []
+- name: Whisper Small et - Common Voice+FLEURS
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 11.0+FLEURS
+      type: mozilla-foundation/common_voice_11_0
+      config: et
+      split: train
+      args: et
+    metrics:
+    - name: Wer
+      type: wer
+      value: 42.48444526581655
 ---
 
 <!-- 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. -->
 
-# openai/whisper-small
+# Whisper Small et - Common Voice+FLEURS
 
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0, FLEURS dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.8754
 - Wer: 42.4844