Row 59145
Content Data
This page contains data entry 59145 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
Is there any reference on what they trained V-JEPA on? *Wallclock time is measured on a single GPU*. What GPU is this though?
>Figure 5 SSv2 frozen-evaluation performance vs. Pretraining Time. Wallclock times for all methods are measured on a single GPU with a batch size of 10 clips, using the official codebases for VideoMAE and VideoMAEv2, and linearly extrapolated assuming a global batch size of 2400 samples. However, note that the SSv2 accuracies of video pixel pre- diction methods are actually obtained with small batch sizes and significantly longer training schedules. V-JEPA out- performs pixel-reconstruction methods while training signifi- cantly faster.
| Field | Value |
|---|---|
| text | Is there any reference on what they trained V-JEPA on? *Wallclock time is measured on a single GPU*. What GPU is this though? >Figure 5 SSv2 frozen-evaluation performance vs. Pretraining Time. Wallclock times for all methods are measured on a single GPU with a batch size of 10 clips, using the official codebases for VideoMAE and VideoMAEv2, and linearly extrapolated assuming a global batch size of 2400 samples. However, note that the SSv2 accuracies of video pixel pre- diction methods ar… |
| label | r/machinelearning |
| dataType | comment |
| communityName | r/MachineLearning |
| datetime | 2024-05-23 |
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Raw Record
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"text": "Is there any reference on what they trained V-JEPA on? *Wallclock time is measured on a single GPU*. What GPU is this though?\n\n>Figure 5 SSv2 frozen-evaluation performance vs. Pretraining Time. Wallclock times for all methods are measured on a single GPU with a batch size of 10 clips, using the official codebases for VideoMAE and VideoMAEv2, and linearly extrapolated assuming a global batch size of 2400 samples. However, note that the SSv2 accuracies of video pixel pre- diction methods are actually obtained with small batch sizes and significantly longer training schedules. V-JEPA out- performs pixel-reconstruction methods while training signifi- cantly faster.",
"label": "r/machinelearning",
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"datetime": "2024-05-23",
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Entry Information
- Entry ID: 59145
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000