Create README.md

README.md

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+---
+language:
+- fi
+license: apache-2.0
+tags:
+- whisper-event
+- finnish
+- speech-recognition
+datasets:
+- mozilla-foundation/common_voice_11_0
+- google/fleurs
+metrics:
+- wer
+- cer
+model-index:
+- name: Whisper Large V3 Finnish
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 11.0
+      type: mozilla-foundation/common_voice_11_0
+      config: fi
+      split: test
+      args: fi
+    metrics:
+    - name: Wer
+      type: wer
+      value: 8.23
+    - name: Cer
+      type: cer
+      value: 1.43
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: FLEURS
+      type: google/fleurs
+      config: fi_fi
+      split: test
+      args: fi_fi
+    metrics:
+    - name: Wer
+      type: wer
+      value: 8.21
+    - name: Cer
+      type: cer
+      value: 3.23
+library_name: transformers
+pipeline_tag: automatic-speech-recognition
+---
+This is a conversion of [Finnish-NLP/whisper-large-finnish-v3](https://huggingface.co/Finnish-NLP/whisper-large-finnish-v3) into faster-whisper format.
+
+<h3>This is our improved Whisper v3 model that is now finetuned from OpenAI Whisper Large V3 </h3>
+<p>We improve from our previously finetuned Whisper V2 model in the following manner<a>https://huggingface.co/Finnish-NLP/whisper-large-v2-finnish</a> </p>
+<p>CV11 (Common Voice 11 test set) WER (Word error rate) 10.42 --> 8.23</p>
+<p>Fleurs (A speech recognition test set by Google) WER (Word error rate) 10.20 --> 8.21</p>
+<p>Model was trained on Nvidia RTX4080 for 32k steps with batch size 8, gradient accumulation 2</p>
+
+<br>
+
+<h3> Original OpenAI Whisper Large V3</h3>
+- CV11
+  - WER: 14.81
+  - WER NORMALIZED: 10.82
+  - CER: 2.7
+  - CER NORMALIZED: 2.07
+
+- Fleurs
+  - WER: 12.04
+  - WER NORMALIZED: 9.63
+  - CER: 2.48
+  - CER NORMALIZED: 3.64
+
+
+<h3> After Finetuning with Finnish data our V3 got these scores on the test set:</h3>
+
+  - @14000 finetuning steps
+    - CV11
+      - WER: 11.36
+      - WER NORMALIZED: 8.31
+      - CER: 1.93
+      - CER NORMALIZED: 1.48
+
+    - Fleurs
+      - WER: 10.2
+      - WER NORMALIZED: 8.56
+      - CER: 2.26
+      - CER NORMALIZED: 3.54
+
+  - @32000 finetuning steps
+    - CV11
+      - WER: 11.47
+      - WER NORMALIZED: 8.23
+      - CER: 1.91
+      - CER NORMALIZED: 1.43
+
+    - Fleurs
+      - WER: 10.1
+      - WER NORMALIZED: 8.21
+      - CER: 2.2
+      - CER NORMALIZED: 3.23