Update README.md

README.md

@@ -2,20 +2,46 @@
 license: apache-2.0
 base_model: openai/whisper-tiny
 tags:
+- hf-asr-leaderboard
 - generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_16_0
+language:
+- hu
+widget:
+- example_title: Sample 1
+  src: https://huggingface.co/datasets/Hungarians/samples/resolve/main/Sample1.flac
+- example_title: Sample 2
+  src: https://huggingface.co/datasets/Hungarians/samples/resolve/main/Sample2.flac
 metrics:
 - wer
+pipeline_tag: automatic-speech-recognition
 model-index:
-- name: whisper-tiny-cv16-hu
-  results: []
+- name: Whisper Tiny Hungarian
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 16.0 - Hungarian
+      type: mozilla-foundation/common_voice_16_0
+      config: hu
+      split: test
+      args: hu
+    metrics:
+    - name: Wer
+      type: wer
+      value: 32.2247
+      verified: true
+
 ---
 
 <!-- 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-cv16-hu
+# Whisper Tiny Hungarian
 
-This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset.
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 16 dataset of Mozilla Foundation.
 It achieves the following results on the evaluation set:
 - Loss: 0.3628
 - Wer Ortho: 34.7985
@@ -69,4 +95,4 @@ The following hyperparameters were used during training:
 - Transformers 4.36.2
 - Pytorch 2.1.0+cu121
 - Datasets 2.16.0
-- Tokenizers 0.15.0
+- Tokenizers 0.15.0