Update README.md

README.md

@@ -1,22 +1,21 @@
 ---
-language:
-- pt
+language: pt
 license: apache-2.0
 tags:
-- whisper-event
 - generated_from_trainer
+- whisper-event
 datasets:
 - mozilla-foundation/common_voice_11_0
 metrics:
 - wer
 model-index:
-- name: Whisper Medium Portuguese
+- name: openai/whisper-medium
   results:
   - task:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: mozilla-foundation/common_voice_11_0 pt
+      name: mozilla-foundation/common_voice_11_0
       type: mozilla-foundation/common_voice_11_0
       config: pt
       split: test
@@ -30,24 +29,24 @@ 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 Medium Portuguese
+# Portuguese Medium Whisper
 
-This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the mozilla-foundation/common_voice_11_0 pt dataset.
+This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the common_voice_11_0 dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.2628
 - Wer: 6.5987
 
-## Model description
+## Blog post
 
-More information needed
+All information about this model in this blog post: [Speech-to-Text & IA | Transcreva qualquer áudio para o português com o Whisper (OpenAI)... sem nenhum custo!](https://medium.com/@pierre_guillou/speech-to-text-ia-transcreva-qualquer-%C3%A1udio-para-o-portugu%C3%AAs-com-o-whisper-openai-sem-ad0c17384681).
 
-## Intended uses & limitations
+## New SOTA
 
-More information needed
+The Normalized WER in the [OpenAI Whisper article](https://cdn.openai.com/papers/whisper.pdf) with the [Common Voice 9.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_9_0) test dataset is 8.1. 
 
-## Training and evaluation data
+As this test dataset is similar to the [Common Voice 11.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_11_0) test dataset used to evaluate our model (WER and WER Norm), it means that **our Portuguese Medium Whisper is better than the [Medium Whisper](https://huggingface.co/openai/whisper-medium) model at transcribing audios Portuguese in text** (and even better than the [Whisper Large](https://huggingface.co/openai/whisper-large) that has a WER Norm of 7.1!).
 
-More information needed
+![OpenAI results with Whisper Medium and Test dataset of Commons Voice 9.0](https://huggingface.co/pierreguillou/whisper-medium-portuguese/resolve/main/whisper_medium_portuguese_wer_commonvoice9.png)
 
 ## Training procedure
 
@@ -79,4 +78,4 @@ The following hyperparameters were used during training:
 - Transformers 4.26.0.dev0
 - Pytorch 1.13.0+cu117
 - Datasets 2.7.1.dev0
-- Tokenizers 0.13.2
+- Tokenizers 0.13.2