{
  "id": 261711,
  "title": "Summary of some of my results",
  "url": "/competitions/g2net-gravitational-wave-detection/discussion/261711",
  "author_name": "",
  "post_date": "2021-08-04T22:56:20.531534800Z",
  "votes": 16,
  "comment_count": 10,
  "views": 0,
  "content": "<p>Now for a summary of some of the model results I have obtained so far, you can also share some of your current situation below😉</p>\n<ol>\n<li>efficientnet_b7 0.870</li>\n<li>efficientnet_b5 0.866</li>\n<li>efficientnet_b1 0.865</li>\n<li>efficientnetv2_l 0.864</li>\n<li>efficientnetv2_s 0.861</li>\n</ol>",
  "messages": [
    {
      "id": "1449575",
      "postDate": "08/04/2021 22:56:20",
      "content": "<p>Now for a summary of some of the model results I have obtained so far, you can also share some of your current situation below😉</p>\n<ol>\n<li>efficientnet_b7 0.870</li>\n<li>efficientnet_b5 0.866</li>\n<li>efficientnet_b1 0.865</li>\n<li>efficientnetv2_l 0.864</li>\n<li>efficientnetv2_s 0.861</li>\n</ol>",
      "rawMarkdown": "Now for a summary of some of the model results I have obtained so far, you can also share some of your current situation below😉\n1. efficientnet_b7 0.870\n2. efficientnet_b5 0.866\n3. efficientnet_b1 0.865\n4. efficientnetv2_l 0.864\n5. efficientnetv2_s 0.861",
      "votes": null
    },
    {
      "id": "1449696",
      "postDate": "08/05/2021 00:04:54",
      "content": "<p>I've just shared my <a href=\"https://www.kaggle.com/c/g2net-gravitational-wave-detection/discussion/261721\" target=\"_blank\">learnings</a> here. My best result is 0.871 with Continuous Wavelet Transform (512x512) and efficientnet_b7 about the same as yours</p>",
      "rawMarkdown": "I've just shared my [learnings](https://www.kaggle.com/c/g2net-gravitational-wave-detection/discussion/261721) here. My best result is 0.871 with Continuous Wavelet Transform (512x512) and efficientnet_b7 about the same as yours",
      "votes": null
    },
    {
      "id": "1449719",
      "postDate": "08/05/2021 00:17:01",
      "content": "<p>Thanks for your share</p>",
      "rawMarkdown": "Thanks for your share",
      "votes": null
    },
    {
      "id": "1449767",
      "postDate": "08/05/2021 00:38:33",
      "content": "<p>Thanks for sharing. I've achieved similar results, but I haven't tried the <code>V2</code> variants. </p>",
      "rawMarkdown": "Thanks for sharing. I've achieved similar results, but I haven't tried the `V2` variants.",
      "votes": null
    },
    {
      "id": "1457239",
      "postDate": "08/07/2021 10:09:20",
      "content": "<p>Hi <a href=\"https://www.kaggle.com/xuxu1234\" target=\"_blank\">@xuxu1234</a> </p>\n<p>If you don't mind sharing, how many folds do you use per model? </p>",
      "rawMarkdown": "Hi @xuxu1234 \n\nIf you don't mind sharing, how many folds do you use per model?",
      "votes": null
    },
    {
      "id": "1457312",
      "postDate": "08/07/2021 10:51:10",
      "content": "<p>Sure, I use one-fold in 1，4，5  and four-fold in 2,3😜</p>",
      "rawMarkdown": "Sure, I use one-fold in 1，4，5  and four-fold in 2,3😜",
      "votes": null
    },
    {
      "id": "1457337",
      "postDate": "08/07/2021 11:03:35",
      "content": "<p>Thank you!!</p>",
      "rawMarkdown": "Thank you!!",
      "votes": null
    },
    {
      "id": "1458872",
      "postDate": "08/08/2021 05:37:07",
      "content": "<p>Is your current LB <code>0.874</code> an ensemble ? or a single model ?</p>",
      "rawMarkdown": "Is your current LB `0.874` an ensemble ? or a single model ?",
      "votes": null
    },
    {
      "id": "1458884",
      "postDate": "08/08/2021 05:46:33",
      "content": "<p>ensemble👐</p>",
      "rawMarkdown": "ensemble👐",
      "votes": null
    },
    {
      "id": "1459105",
      "postDate": "08/08/2021 08:12:56",
      "content": "<p>Single model</p>",
      "rawMarkdown": "Single model",
      "votes": null
    },
    {
      "id": "1561303",
      "postDate": "10/27/2021 13:13:23",
      "content": "<p>Hey All,</p>\n<p>Thank you all for taking part in our competition. The participation has been overwhelmingly positive. We are currently conducting a survey to gauge the demographic and outreach achieved. Kindly spare 2min and fill in this survey <a href=\"https://forms.gle/QP9L16niPexozyhu5\" target=\"_blank\">https://forms.gle/QP9L16niPexozyhu5</a>.</p>\n<p>Thank you all,</p>\n<p>Regards,<br>\nChris</p>",
      "rawMarkdown": "Hey All,\n\nThank you all for taking part in our competition. The participation has been overwhelmingly positive. We are currently conducting a survey to gauge the demographic and outreach achieved. Kindly spare 2min and fill in this survey https://forms.gle/QP9L16niPexozyhu5.\n\nThank you all,\n\nRegards,\nChris",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1449696,
      "author_name": "kevinmcisaac",
      "author_url": "",
      "post_date": "08/05/2021 00:04:54",
      "content": "<p>I've just shared my <a href=\"https://www.kaggle.com/c/g2net-gravitational-wave-detection/discussion/261721\" target=\"_blank\">learnings</a> here. My best result is 0.871 with Continuous Wavelet Transform (512x512) and efficientnet_b7 about the same as yours</p>",
      "votes": null,
      "replies": [
        {
          "id": 1449719,
          "author_name": "xuxu1234",
          "author_url": "",
          "post_date": "08/05/2021 00:17:01",
          "content": "<p>Thanks for your share</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 1449767,
      "author_name": "sauravmaheshkar",
      "author_url": "",
      "post_date": "08/05/2021 00:38:33",
      "content": "<p>Thanks for sharing. I've achieved similar results, but I haven't tried the <code>V2</code> variants. </p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1457239,
      "author_name": "snnclsr",
      "author_url": "",
      "post_date": "08/07/2021 10:09:20",
      "content": "<p>Hi <a href=\"https://www.kaggle.com/xuxu1234\" target=\"_blank\">@xuxu1234</a> </p>\n<p>If you don't mind sharing, how many folds do you use per model? </p>",
      "votes": null,
      "replies": [
        {
          "id": 1457312,
          "author_name": "xuxu1234",
          "author_url": "",
          "post_date": "08/07/2021 10:51:10",
          "content": "<p>Sure, I use one-fold in 1，4，5  and four-fold in 2,3😜</p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 1457337,
          "author_name": "snnclsr",
          "author_url": "",
          "post_date": "08/07/2021 11:03:35",
          "content": "<p>Thank you!!</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 1458872,
      "author_name": "zarif98sjs",
      "author_url": "",
      "post_date": "08/08/2021 05:37:07",
      "content": "<p>Is your current LB <code>0.874</code> an ensemble ? or a single model ?</p>",
      "votes": null,
      "replies": [
        {
          "id": 1458884,
          "author_name": "xuxu1234",
          "author_url": "",
          "post_date": "08/08/2021 05:46:33",
          "content": "<p>ensemble👐</p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 1459105,
          "author_name": "kevinmcisaac",
          "author_url": "",
          "post_date": "08/08/2021 08:12:56",
          "content": "<p>Single model</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 1561303,
      "author_name": "zerafachris",
      "author_url": "",
      "post_date": "10/27/2021 13:13:23",
      "content": "<p>Hey All,</p>\n<p>Thank you all for taking part in our competition. The participation has been overwhelmingly positive. We are currently conducting a survey to gauge the demographic and outreach achieved. Kindly spare 2min and fill in this survey <a href=\"https://forms.gle/QP9L16niPexozyhu5\" target=\"_blank\">https://forms.gle/QP9L16niPexozyhu5</a>.</p>\n<p>Thank you all,</p>\n<p>Regards,<br>\nChris</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1449575": "Now for a summary of some of the model results I have obtained so far, you can also share some of your current situation below😉\n1. efficientnet_b7 0.870\n2. efficientnet_b5 0.866\n3. efficientnet_b1 0.865\n4. efficientnetv2_l 0.864\n5. efficientnetv2_s 0.861",
    "1449696": "I've just shared my [learnings](https://www.kaggle.com/c/g2net-gravitational-wave-detection/discussion/261721) here. My best result is 0.871 with Continuous Wavelet Transform (512x512) and efficientnet_b7 about the same as yours",
    "1449719": "Thanks for your share",
    "1449767": "Thanks for sharing. I've achieved similar results, but I haven't tried the `V2` variants.",
    "1457239": "Hi @xuxu1234 \n\nIf you don't mind sharing, how many folds do you use per model?",
    "1457312": "Sure, I use one-fold in 1，4，5  and four-fold in 2,3😜",
    "1457337": "Thank you!!",
    "1458872": "Is your current LB `0.874` an ensemble ? or a single model ?",
    "1458884": "ensemble👐",
    "1459105": "Single model",
    "1561303": "Hey All,\n\nThank you all for taking part in our competition. The participation has been overwhelmingly positive. We are currently conducting a survey to gauge the demographic and outreach achieved. Kindly spare 2min and fill in this survey https://forms.gle/QP9L16niPexozyhu5.\n\nThank you all,\n\nRegards,\nChris"
  },
  "source": "meta"
}