{
  "id": 248322,
  "title": "First Competition Medal! 🏆",
  "url": "/competitions/coleridgeinitiative-show-us-the-data/discussion/248322",
  "author_name": "",
  "post_date": "2021-06-23T07:54:27.003198800Z",
  "votes": 34,
  "comment_count": 20,
  "views": 0,
  "content": "<p>I am so glad to receive my first competition medal.<br>\nThanks to <a href=\"https://www.kaggle.com/tungmphung\" target=\"_blank\">@tungmphung</a> and <a href=\"https://www.kaggle.com/chienhsianghung\" target=\"_blank\">@chienhsianghung</a> for sharing great starter notebooks.<br>\nI used <a href=\"https://www.kaggle.com/tungmphung\" target=\"_blank\">@tungmphung</a> 's notebook on <a href=\"https://www.kaggle.com/tungmphung/coleridge-bert-masked-dataset-modeling\" target=\"_blank\">BERT Masked Dataset Modeling</a> to train ELECTRA-base on the dataset for 4 epochs, and <a href=\"https://www.kaggle.com/chienhsianghung\" target=\"_blank\">@chienhsianghung</a> 's <a href=\"https://www.kaggle.com/chienhsianghung/external-datasets-matching-mlmv4\" target=\"_blank\">Inference Kernel</a> with blending MLM predictions along with string matching. This achieves a score of 0.474 on Public LB and 0.238 on Private LB.</p>\n<p>I also have a submission that has a Private LB score of 0.282 (Public LB 0.453) which could have potentially taken me to the silver zone. In this, I had trained ELECTRA-base for only 2 epochs.</p>\n<p>Congratulations to all who won and thanks to all the Kagglers for sharing insightful notebooks and discussions. I am beginning to explore NLP and this helps me a lot!</p>",
  "messages": [
    {
      "id": "1362070",
      "postDate": "06/23/2021 07:54:27",
      "content": "<p>I am so glad to receive my first competition medal.<br>\nThanks to <a href=\"https://www.kaggle.com/tungmphung\" target=\"_blank\">@tungmphung</a> and <a href=\"https://www.kaggle.com/chienhsianghung\" target=\"_blank\">@chienhsianghung</a> for sharing great starter notebooks.<br>\nI used <a href=\"https://www.kaggle.com/tungmphung\" target=\"_blank\">@tungmphung</a> 's notebook on <a href=\"https://www.kaggle.com/tungmphung/coleridge-bert-masked-dataset-modeling\" target=\"_blank\">BERT Masked Dataset Modeling</a> to train ELECTRA-base on the dataset for 4 epochs, and <a href=\"https://www.kaggle.com/chienhsianghung\" target=\"_blank\">@chienhsianghung</a> 's <a href=\"https://www.kaggle.com/chienhsianghung/external-datasets-matching-mlmv4\" target=\"_blank\">Inference Kernel</a> with blending MLM predictions along with string matching. This achieves a score of 0.474 on Public LB and 0.238 on Private LB.</p>\n<p>I also have a submission that has a Private LB score of 0.282 (Public LB 0.453) which could have potentially taken me to the silver zone. In this, I had trained ELECTRA-base for only 2 epochs.</p>\n<p>Congratulations to all who won and thanks to all the Kagglers for sharing insightful notebooks and discussions. I am beginning to explore NLP and this helps me a lot!</p>",
      "rawMarkdown": "I am so glad to receive my first competition medal.\nThanks to @tungmphung and @chienhsianghung for sharing great starter notebooks.\nI used @tungmphung 's notebook on [BERT Masked Dataset Modeling](https://www.kaggle.com/tungmphung/coleridge-bert-masked-dataset-modeling) to train ELECTRA-base on the dataset for 4 epochs, and @chienhsianghung 's [Inference Kernel](https://www.kaggle.com/chienhsianghung/external-datasets-matching-mlmv4) with blending MLM predictions along with string matching. This achieves a score of 0.474 on Public LB and 0.238 on Private LB.\n\nI also have a submission that has a Private LB score of 0.282 (Public LB 0.453) which could have potentially taken me to the silver zone. In this, I had trained ELECTRA-base for only 2 epochs.\n\nCongratulations to all who won and thanks to all the Kagglers for sharing insightful notebooks and discussions. I am beginning to explore NLP and this helps me a lot!",
      "votes": null
    },
    {
      "id": "1362241",
      "postDate": "06/23/2021 09:46:42",
      "content": "<p><a href=\"https://www.kaggle.com/debarshichanda\" target=\"_blank\">@debarshichanda</a> Congratulations Debarshi ..</p>",
      "rawMarkdown": "debarshichanda Congratulations Debarshi ..",
      "votes": null
    },
    {
      "id": "1362250",
      "postDate": "06/23/2021 10:02:04",
      "content": "<p>Thank you so much!</p>",
      "rawMarkdown": "Thank you so much!",
      "votes": null
    },
    {
      "id": "1362582",
      "postDate": "06/23/2021 14:21:41",
      "content": "<p>GoooooD!! Congratulations~!!</p>",
      "rawMarkdown": "GoooooD!! Congratulations~!!",
      "votes": null
    },
    {
      "id": "1362733",
      "postDate": "06/23/2021 15:38:43",
      "content": "<p>Thank you!</p>",
      "rawMarkdown": "Thank you!",
      "votes": null
    },
    {
      "id": "1363876",
      "postDate": "06/24/2021 12:42:08",
      "content": "<p>congrats! ^^</p>",
      "rawMarkdown": "congrats! ^^",
      "votes": null
    },
    {
      "id": "1364120",
      "postDate": "06/24/2021 16:25:34",
      "content": "<p>Congrats on your First medal!!<br>\n(of course, there are more to come😉)</p>",
      "rawMarkdown": "Congrats on your First medal!!\n(of course, there are more to come😉)",
      "votes": null
    },
    {
      "id": "1364208",
      "postDate": "06/24/2021 17:50:06",
      "content": "<p>Thank you so much <a href=\"https://www.kaggle.com/mrinath\" target=\"_blank\">@mrinath</a>! </p>",
      "rawMarkdown": "Thank you so much @mrinath!",
      "votes": null
    },
    {
      "id": "1364209",
      "postDate": "06/24/2021 17:50:20",
      "content": "<p>Thank you!</p>",
      "rawMarkdown": "Thank you!",
      "votes": null
    },
    {
      "id": "1364408",
      "postDate": "06/25/2021 00:31:56",
      "content": "<p>Congratulations on your success!</p>",
      "rawMarkdown": "Congratulations on your success!",
      "votes": null
    },
    {
      "id": "1364612",
      "postDate": "06/25/2021 05:27:13",
      "content": "<p>Thank you!</p>",
      "rawMarkdown": "Thank you!",
      "votes": null
    },
    {
      "id": "1367873",
      "postDate": "06/28/2021 06:34:54",
      "content": "<p>Nice! Congo <a href=\"https://www.kaggle.com/debarshichanda\" target=\"_blank\">@debarshichanda</a> 👌</p>",
      "rawMarkdown": "Nice! Congo @debarshichanda 👌",
      "votes": null
    },
    {
      "id": "1367996",
      "postDate": "06/28/2021 08:13:45",
      "content": "<p>Thank you!</p>",
      "rawMarkdown": "Thank you!",
      "votes": null
    },
    {
      "id": "1367998",
      "postDate": "06/28/2021 08:14:27",
      "content": "<p>Yay! Congratulations <a href=\"https://www.kaggle.com/debarshichanda\" target=\"_blank\">@debarshichanda</a>. God speed for upcoming competitions!</p>",
      "rawMarkdown": "Yay! Congratulations @debarshichanda. God speed for upcoming competitions!",
      "votes": null
    },
    {
      "id": "1368041",
      "postDate": "06/28/2021 09:05:37",
      "content": "<p>Nice  <a href=\"https://www.kaggle.com/debarshichanda\" target=\"_blank\">@debarshichanda</a> </p>",
      "rawMarkdown": "Nice  @debarshichanda",
      "votes": null
    },
    {
      "id": "1368071",
      "postDate": "06/28/2021 09:46:37",
      "content": "<p>Thank you!</p>",
      "rawMarkdown": "Thank you!",
      "votes": null
    },
    {
      "id": "1368072",
      "postDate": "06/28/2021 09:46:49",
      "content": "<p>Thank you!</p>",
      "rawMarkdown": "Thank you!",
      "votes": null
    },
    {
      "id": "1369187",
      "postDate": "06/29/2021 07:47:03",
      "content": "<p>congratulations on your first medal ….</p>",
      "rawMarkdown": "congratulations on your first medal ....",
      "votes": null
    },
    {
      "id": "1369381",
      "postDate": "06/29/2021 09:44:45",
      "content": "<p>Thank you!</p>",
      "rawMarkdown": "Thank you!",
      "votes": null
    },
    {
      "id": "1370910",
      "postDate": "06/30/2021 13:36:11",
      "content": "<p>Congratulations <a href=\"https://www.kaggle.com/debarshichanda\" target=\"_blank\">@debarshichanda</a> </p>",
      "rawMarkdown": "Congratulations @debarshichanda",
      "votes": null
    },
    {
      "id": "1370960",
      "postDate": "06/30/2021 14:20:01",
      "content": "<p>Thank you!</p>",
      "rawMarkdown": "Thank you!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1362241,
      "author_name": "usharengaraju",
      "author_url": "",
      "post_date": "06/23/2021 09:46:42",
      "content": "<p><a href=\"https://www.kaggle.com/debarshichanda\" target=\"_blank\">@debarshichanda</a> Congratulations Debarshi ..</p>",
      "votes": null,
      "replies": [
        {
          "id": 1362250,
          "author_name": "debarshichanda",
          "author_url": "",
          "post_date": "06/23/2021 10:02:04",
          "content": "<p>Thank you so much!</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 1362582,
      "author_name": "mingookkim",
      "author_url": "",
      "post_date": "06/23/2021 14:21:41",
      "content": "<p>GoooooD!! Congratulations~!!</p>",
      "votes": null,
      "replies": [
        {
          "id": 1362733,
          "author_name": "debarshichanda",
          "author_url": "",
          "post_date": "06/23/2021 15:38:43",
          "content": "<p>Thank you!</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 1363876,
      "author_name": "harshitsati",
      "author_url": "",
      "post_date": "06/24/2021 12:42:08",
      "content": "<p>congrats! ^^</p>",
      "votes": null,
      "replies": [
        {
          "id": 1364209,
          "author_name": "debarshichanda",
          "author_url": "",
          "post_date": "06/24/2021 17:50:20",
          "content": "<p>Thank you!</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 1364120,
      "author_name": "mrinath",
      "author_url": "",
      "post_date": "06/24/2021 16:25:34",
      "content": "<p>Congrats on your First medal!!<br>\n(of course, there are more to come😉)</p>",
      "votes": null,
      "replies": [
        {
          "id": 1364208,
          "author_name": "debarshichanda",
          "author_url": "",
          "post_date": "06/24/2021 17:50:06",
          "content": "<p>Thank you so much <a href=\"https://www.kaggle.com/mrinath\" target=\"_blank\">@mrinath</a>! </p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 1364408,
      "author_name": "prajittr",
      "author_url": "",
      "post_date": "06/25/2021 00:31:56",
      "content": "<p>Congratulations on your success!</p>",
      "votes": null,
      "replies": [
        {
          "id": 1364612,
          "author_name": "debarshichanda",
          "author_url": "",
          "post_date": "06/25/2021 05:27:13",
          "content": "<p>Thank you!</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 1367873,
      "author_name": "hackspyder",
      "author_url": "",
      "post_date": "06/28/2021 06:34:54",
      "content": "<p>Nice! Congo <a href=\"https://www.kaggle.com/debarshichanda\" target=\"_blank\">@debarshichanda</a> 👌</p>",
      "votes": null,
      "replies": [
        {
          "id": 1367996,
          "author_name": "debarshichanda",
          "author_url": "",
          "post_date": "06/28/2021 08:13:45",
          "content": "<p>Thank you!</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 1367998,
      "author_name": "shaz13",
      "author_url": "",
      "post_date": "06/28/2021 08:14:27",
      "content": "<p>Yay! Congratulations <a href=\"https://www.kaggle.com/debarshichanda\" target=\"_blank\">@debarshichanda</a>. God speed for upcoming competitions!</p>",
      "votes": null,
      "replies": [
        {
          "id": 1368071,
          "author_name": "debarshichanda",
          "author_url": "",
          "post_date": "06/28/2021 09:46:37",
          "content": "<p>Thank you!</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 1368041,
      "author_name": "alitalks",
      "author_url": "",
      "post_date": "06/28/2021 09:05:37",
      "content": "<p>Nice  <a href=\"https://www.kaggle.com/debarshichanda\" target=\"_blank\">@debarshichanda</a> </p>",
      "votes": null,
      "replies": [
        {
          "id": 1368072,
          "author_name": "debarshichanda",
          "author_url": "",
          "post_date": "06/28/2021 09:46:49",
          "content": "<p>Thank you!</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 1369187,
      "author_name": "laxmankusuma",
      "author_url": "",
      "post_date": "06/29/2021 07:47:03",
      "content": "<p>congratulations on your first medal ….</p>",
      "votes": null,
      "replies": [
        {
          "id": 1369381,
          "author_name": "debarshichanda",
          "author_url": "",
          "post_date": "06/29/2021 09:44:45",
          "content": "<p>Thank you!</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 1370910,
      "author_name": "samarthgupta39",
      "author_url": "",
      "post_date": "06/30/2021 13:36:11",
      "content": "<p>Congratulations <a href=\"https://www.kaggle.com/debarshichanda\" target=\"_blank\">@debarshichanda</a> </p>",
      "votes": null,
      "replies": [
        {
          "id": 1370960,
          "author_name": "debarshichanda",
          "author_url": "",
          "post_date": "06/30/2021 14:20:01",
          "content": "<p>Thank you!</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "1362070": "I am so glad to receive my first competition medal.\nThanks to @tungmphung and @chienhsianghung for sharing great starter notebooks.\nI used @tungmphung 's notebook on [BERT Masked Dataset Modeling](https://www.kaggle.com/tungmphung/coleridge-bert-masked-dataset-modeling) to train ELECTRA-base on the dataset for 4 epochs, and @chienhsianghung 's [Inference Kernel](https://www.kaggle.com/chienhsianghung/external-datasets-matching-mlmv4) with blending MLM predictions along with string matching. This achieves a score of 0.474 on Public LB and 0.238 on Private LB.\n\nI also have a submission that has a Private LB score of 0.282 (Public LB 0.453) which could have potentially taken me to the silver zone. In this, I had trained ELECTRA-base for only 2 epochs.\n\nCongratulations to all who won and thanks to all the Kagglers for sharing insightful notebooks and discussions. I am beginning to explore NLP and this helps me a lot!",
    "1362241": "debarshichanda Congratulations Debarshi ..",
    "1362250": "Thank you so much!",
    "1362582": "GoooooD!! Congratulations~!!",
    "1362733": "Thank you!",
    "1363876": "congrats! ^^",
    "1364120": "Congrats on your First medal!!\n(of course, there are more to come😉)",
    "1364208": "Thank you so much @mrinath!",
    "1364209": "Thank you!",
    "1364408": "Congratulations on your success!",
    "1364612": "Thank you!",
    "1367873": "Nice! Congo @debarshichanda 👌",
    "1367996": "Thank you!",
    "1367998": "Yay! Congratulations @debarshichanda. God speed for upcoming competitions!",
    "1368041": "Nice  @debarshichanda",
    "1368071": "Thank you!",
    "1368072": "Thank you!",
    "1369187": "congratulations on your first medal ....",
    "1369381": "Thank you!",
    "1370910": "Congratulations @debarshichanda",
    "1370960": "Thank you!"
  },
  "source": "meta"
}