Skip to content

fix: Grammar nit #98

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
terrykong merged 1 commit into from
Mar 31, 2025
Merged

fix: Grammar nit #98

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -66,7 +66,7 @@ The default SFT experiment is configured to run on a single GPU. To launch the e
uv run python examples/run_sft.py
```

This trains `Llama3.2-1B` on one GPU using SQUAD dataset.
This trains `Llama3.2-1B` on one GPU using the SQUAD dataset.

If you have access to more GPUs, you can update the experiment accordingly. To run on 8 GPUs, we update the cluster configuration. We also switch to an 8B Llama base model and increase the batch size:

Expand Down
2 changes: 1 addition & 1 deletion examples/configs/sft.yaml
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -37,7 +37,7 @@ data:

logger:
log_dir: "logs" # Base directory for all logs
wandb_enabled: true # Make sure you do ``wandb login [Your API key]'' before run
wandb_enabled: true # Make sure you do a ``wandb login [Your API key]'' before running
tensorboard_enabled: true
monitor_gpus: false # If true, will monitor GPU usage and log to wandb and/or tensorboard
wandb:
Expand Down