clarify some language in the help content

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erew123 authored and GitHub committed 2024-11-17 00:00:41 +00:00
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@@ -604,19 +604,17 @@ class FinetuneContent:
* Start with 4-8 workers
#### Shared Memory Option:
The shared memory option affects how your system handles memory overflow:
Controls GPU memory allocation during training:
- **Disable Shared Memory Use:**
* Limits GPU to 95% VRAM usage
* Prevents system RAM spillover
* Recommended for high-VRAM GPUs
* Clearer error messages
**Disable Shared Memory Use (Enabled/Checked):**
* Reserves 5% of GPU VRAM, limiting maximum usage to 95%
* Can help prevent some out-of-memory crashes
* May be useful on systems experiencing memory issues
- **Keep Enabled for:**
* Windows with low VRAM GPUs
* Systems with plenty of RAM
* When encountering OOM errors
* Better fallback options
* **Disable Shared Memory Use (Default/Unchecked):**
* Allows PyTorch to use full GPU VRAM
* Maximum training performance
* May use more VRAM
"""
STEP2_BATCH_SIZE = """