Data visualization tool based on JSON files.
Project description
jsonboard
Fancy interface for ML experiments based on JSONL log files.
Install
pip install jsonboard
Logging directory
Jsonboard
expected the logging directory to be structured like the following:
main_directory
├── experiment_name_1
│ ├── version_0
│ │ └── data.json
│ └── version_1
│ └── data.json
├── experiment_name_1
│ └── version_0
│ └── data.json
└── ...
And this is a simple example of how data should be stored:
{
"hparams": {
"learning_rate": 1e-05,
"batch_size": 32,
"devices": 8,
"accelerator": "gpu",
"num_warmup_steps": 10000,
"max_steps": 100000,
"alpha": 0.5,
"train_filepath": "datasets/wikiqa",
},
"metadata": {"environment": "google_cloud"},
"logs": [
{
"step": 1000,
"values": {
"training/accuracy": 0.9
}
},
{
"step": 2000,
"values": {
"training/accuracy": 0.5
}
},
{
"step": 3000,
"values": {
"training/accuracy": 0.5
}
},
{
"step": 4000,
"values": {
// sometimes values may also be missing
}
},
{
"step": 5000,
"values": {
"training/accuracy": 0.2
}
}
]
}
Run the server
jsonboard --path /pth/to/main_directory
Additional parameters
jsonboard --help
Project details
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