[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

Dockerfile

@@ -15,4 +15,4 @@ RUN pip3 install --no-cache-dir -r requirements.txt
 # Copy the rest of the application code
 COPY . .
 
-CMD ["python", "full_automation.py"]
+CMD ["python", "full_automation.py"]

README.md

@@ -87,4 +87,4 @@ curl --location 'https://fed-ledger-prod.flock.io/api/v1/tasks/submit-result' \
 - `hg_repo_id`: The Hugging Face repository where the model is stored, typically in the format `username/repository-name`.
 - `base_model`: The base model used for training. A list of all supported models can be found [here](https://github.com/FLock-io/llm-loss-validator/blob/main/src/core/constant.py).
 - `gpu_type`: The type of GPU used for training the model.
-- `revision`: The commit hash from the Hugging Face repository. This uniquely identifies the version of the model that was trained and submitted, allowing for precise tracking of changes and updates.
+- `revision`: The commit hash from the Hugging Face repository. This uniquely identifies the version of the model that was trained and submitted, allowing for precise tracking of changes and updates.