chore(docs): update document

Signed-off-by: scepter914 <scepter914@gmail.com>

Author: scepter914

README.md

@@ -21,7 +21,7 @@ If you want to contribute this project, please see the documents.
 
 If you want to see example of the usage of `ml-cellar` as minimum MLOps, please see [ml-cellar-example](https://github.com/scepter914/ml-cellar-example) as reference.
 
-### Install
+### 1. Install
 
 - Install Rust
   - See [the official document](https://doc.rust-lang.org/cargo/getting-started/installation.html).
@@ -44,15 +44,20 @@ cargo install lfs-dal
 cargo install ml-cellar
 ```
 
-- If you build on local device, run below command.
+<details>
+<summary> How to build on local device</summary>
+
+If you build on local device, run below command.
 
 ```sh
 git clone https://github.com/scepter914/ml-cellar-rs
 cd ml-cellar-rs
 cargo install --path .
 ```
 
-### Setup repository
+</details>
+
+### 2. Setup repository
 
 Let's open the cellar for AI models
 
@@ -67,12 +72,28 @@ ml-cellar init
 
 ```toml
 [ml_cellar]
-custom_transfer_agent = True
+custom_transfer_agent = false
+```
+
+### 3. (Option) Setup with AWS S3
+
+Git LFS on GitHub has about 1 GB limit.
+If you need to handle files larger than 1 GB in the repository, I recommend integrating with AWS S3.
+
+- Edit `.ml_cellar.toml` and change to `custom_transfer_agent = true`.
+
+```toml
+[ml_cellar]
+custom_transfer_agent = true
+```
+
+- Edit `.lfsdalconfig` if you use AWS S3.
 
+```toml
 [lfs-dal]
-  scheme = s3
-  bucket = your_bucket
-  region = your_region
+scheme = s3
+bucket = your_bucket
+region = your_region
 ```
 
 - Run setup command
@@ -81,7 +102,7 @@ custom_transfer_agent = True
 ml-cellar setup
 ```
 
-### Start project
+### 4. Start project
 
 A project in `ml-cellar` is like creating shelves in a wine cellar.
 If ML models are like wine, then project boxes are the shelves where you store the wine.
@@ -131,7 +152,7 @@ template = "template.md"
 - Edit template.md
   - If you want to setup template.md for MLOps, then please see [the document](docs/docs_template.md).
 
-### Commit ML model
+### 5. Commit ML model
 
 Let's actually stock AI models on the shelves
 
@@ -184,7 +205,7 @@ ml-cellar push
 ml-cellar pull
 ```
 
-### Use `ml-cellar` as model serve
+### 6. Use `ml-cellar` as model serve
 
 A wine cellar is a storage facility, but it's also a facility for serving
 

docs/docs_template.md

@@ -30,6 +30,8 @@ template = "template.md"
 - What you updated in training parameters
 
 <details>
+<summary> Evaluation results </summary>
+
 - Dataset
   - Version: {dataset_version}
   - Frame number: {dataset.frame_n}