{
  "id": 335012,
  "title": "Preparing your first submission for the competition! ✨",
  "url": "/competitions/dlsprint/discussion/335012",
  "author_name": "Md Zarif Ul Alam",
  "post_date": "2022-07-04T09:04:27.372000",
  "votes": 9,
  "comment_count": 0,
  "views": 0,
  "content": "<p>Dear Kagglers, hope you are training hard!</p>\n<p>Those who haven't started out yet, here's a guideline to make your first submission and get started for the competition!</p>\n<ul>\n<li><code>Copy and Edit</code> this <a href=\"https://www.kaggle.com/code/mobassir/commonvoice-bn-xls-r-metric-calculation/notebook\" target=\"_blank\">inference notebook</a> where you can do inference on the pretrained <code>wav2vec2-xls-r-300m-bengali</code> model</li>\n<li><code>Save and Run</code> the notebook</li>\n<li>After your notebook is done running, go to the <code>Data</code> tab of the saved notebook and find <code>submission.csv</code> and tap on the <code>submit</code> button! You should be able to see your first score</li>\n</ul>\n<p>Alternatively, you can just download the <code>submission.csv</code> from the <a href=\"https://www.kaggle.com/code/mobassir/commonvoice-bn-xls-r-metric-calculation/notebook\" target=\"_blank\">original notebook</a>, and submit it to check the baseline code result. </p>\n<p>Now that you have a baseline score, you can try to fine tune the pretrained models and get a better score! You can use the similar inference pipeline for your newly trained model too.</p>",
  "messages": [
    {
      "id": 1842757,
      "postDate": "2022-07-04T09:04:27.373Z",
      "content": "<p>Dear Kagglers, hope you are training hard!</p>\n<p>Those who haven't started out yet, here's a guideline to make your first submission and get started for the competition!</p>\n<ul>\n<li><code>Copy and Edit</code> this <a href=\"https://www.kaggle.com/code/mobassir/commonvoice-bn-xls-r-metric-calculation/notebook\" target=\"_blank\">inference notebook</a> where you can do inference on the pretrained <code>wav2vec2-xls-r-300m-bengali</code> model</li>\n<li><code>Save and Run</code> the notebook</li>\n<li>After your notebook is done running, go to the <code>Data</code> tab of the saved notebook and find <code>submission.csv</code> and tap on the <code>submit</code> button! You should be able to see your first score</li>\n</ul>\n<p>Alternatively, you can just download the <code>submission.csv</code> from the <a href=\"https://www.kaggle.com/code/mobassir/commonvoice-bn-xls-r-metric-calculation/notebook\" target=\"_blank\">original notebook</a>, and submit it to check the baseline code result. </p>\n<p>Now that you have a baseline score, you can try to fine tune the pretrained models and get a better score! You can use the similar inference pipeline for your newly trained model too.</p>",
      "rawMarkdown": "Dear Kagglers, hope you are training hard!\n\nThose who haven't started out yet, here's a guideline to make your first submission and get started for the competition!\n\n- `Copy and Edit` this [inference notebook](https://www.kaggle.com/code/mobassir/commonvoice-bn-xls-r-metric-calculation/notebook) where you can do inference on the pretrained `wav2vec2-xls-r-300m-bengali` model\n- `Save and Run` the notebook\n- After your notebook is done running, go to the `Data` tab of the saved notebook and find `submission.csv` and tap on the `submit` button! You should be able to see your first score\n\nAlternatively, you can just download the `submission.csv` from the [original notebook](https://www.kaggle.com/code/mobassir/commonvoice-bn-xls-r-metric-calculation/notebook), and submit it to check the baseline code result. \n\nNow that you have a baseline score, you can try to fine tune the pretrained models and get a better score! You can use the similar inference pipeline for your newly trained model too.\n",
      "votes": 9
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "1842757": "Dear Kagglers, hope you are training hard!\n\nThose who haven't started out yet, here's a guideline to make your first submission and get started for the competition!\n\n- `Copy and Edit` this [inference notebook](https://www.kaggle.com/code/mobassir/commonvoice-bn-xls-r-metric-calculation/notebook) where you can do inference on the pretrained `wav2vec2-xls-r-300m-bengali` model\n- `Save and Run` the notebook\n- After your notebook is done running, go to the `Data` tab of the saved notebook and find `submission.csv` and tap on the `submit` button! You should be able to see your first score\n\nAlternatively, you can just download the `submission.csv` from the [original notebook](https://www.kaggle.com/code/mobassir/commonvoice-bn-xls-r-metric-calculation/notebook), and submit it to check the baseline code result. \n\nNow that you have a baseline score, you can try to fine tune the pretrained models and get a better score! You can use the similar inference pipeline for your newly trained model too.\n"
  }
}