Row 10830
Content Data
This page contains data entry 10830 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
For sure this is helpful to know - it was something I had briefly been thinking about.
The model's loss was decreasing with regards to predicting (bucketized) distances between points, and I found it strange that this was not translating to the final loss. I was thinking about baking in physical properties to help it make the leap from the distogram to a 3D structure, and it does seem like symmetry could be the key property here.
| Field | Value |
|---|---|
| text | For sure this is helpful to know - it was something I had briefly been thinking about. The model's loss was decreasing with regards to predicting (bucketized) distances between points, and I found it strange that this was not translating to the final loss. I was thinking about baking in physical properties to help it make the leap from the distogram to a 3D structure, and it does seem like symmetry could be the key property here. |
| label | r/machinelearning |
| dataType | comment |
| communityName | r/MachineLearning |
| datetime | 2024-05-20 |
| username_encoded | Z0FBQUFBQm5Lakw1RVU3NHFIUXdsOVdhVzhOUnNJcE5jWEVEYXdENDk5Q2hpd1h5cW9TdUVIVkF1WjN1M1hZeTVLSDE1VFVSRlZKYXJxa3BsYnhQOEFzV0RWUTdrNHhpVXc9PQ== |
| url_encoded | Z0FBQUFBQm5Lak9KWXpaVWxTWHFxb3B1Y3NtNndaNWlMejhJYjNKN2RwT3RfWUtlc1pZMEkzd0FkTzgxeElfV2NUWmhEby10UnJfVzBXdTMwM3VUeXlfZEQzdDVKTXRvcEhNa1F1VXNTUElVUTRsMXRVaUxTcWVXbGlGOHlwelVTLWx3Z3d1bkV3Y3JaaWhoWlYxODBscUstVk0xdFB5bE5kemZJamRSTXNpWFlzM1JzNFBUWm5JU0hSLUlpSGl1MFBqcHJDX0NJRWxROGk3WjRfOEJ3Ylcwa1ZWdFUxZXc2cnJyZnlKQllqQ0tYbDk4Z0lJMURBaz0= |
Raw Record
{
"text": "For sure this is helpful to know - it was something I had briefly been thinking about.\n\nThe model's loss was decreasing with regards to predicting (bucketized) distances between points, and I found it strange that this was not translating to the final loss. I was thinking about baking in physical properties to help it make the leap from the distogram to a 3D structure, and it does seem like symmetry could be the key property here.",
"label": "r/machinelearning",
"dataType": "comment",
"communityName": "r/MachineLearning",
"datetime": "2024-05-20",
"username_encoded": "Z0FBQUFBQm5Lakw1RVU3NHFIUXdsOVdhVzhOUnNJcE5jWEVEYXdENDk5Q2hpd1h5cW9TdUVIVkF1WjN1M1hZeTVLSDE1VFVSRlZKYXJxa3BsYnhQOEFzV0RWUTdrNHhpVXc9PQ==",
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}
Entry Information
- Entry ID: 10830
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000