metadata

dataset_info:
  features:
    - name: experiment_id
      dtype: string
    - name: name
      dtype: string
    - name: description
      dtype: string
    - name: created_at
      dtype: string
    - name: status
      dtype: string
    - name: metrics
      dtype: string
    - name: parameters
      dtype: string
    - name: artifacts
      dtype: string
    - name: logs
      dtype: string
    - name: last_updated
      dtype: string
  splits:
    - name: train
      num_bytes: 471624
      num_examples: 32
  download_size: 158919
  dataset_size: 471624
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
tags:
  - track tonic
  - tonic
  - experiment tracking
  - smollm3
  - fine-tuning
  - legml
  - hermes

Trackio Experiments Dataset

This dataset stores experiment tracking data for ML training runs, particularly focused on SmolLM3 fine-tuning experiments with comprehensive metrics tracking.

Dataset Structure

The dataset contains the following columns:

experiment_id: Unique identifier for each experiment
name: Human-readable name for the experiment
description: Detailed description of the experiment
created_at: Timestamp when the experiment was created
status: Current status (running, completed, failed, paused)
metrics: JSON string containing training metrics over time
parameters: JSON string containing experiment configuration
artifacts: JSON string containing experiment artifacts
logs: JSON string containing experiment logs
last_updated: Timestamp of last update

Metrics Structure

The metrics field contains JSON arrays with the following structure:

[
  {
    "timestamp": "2025-07-20T11:20:01.780908",
    "step": 25,
    "metrics": {
      "loss": 1.1659,
      "accuracy": 0.759,
      "learning_rate": 7e-08,
      "grad_norm": 10.3125,
      "epoch": 0.004851130919895701,
      
      // Advanced Training Metrics
      "total_tokens": 1642080.0,
      "truncated_tokens": 128,
      "padding_tokens": 256,
      "throughput": 3284160.0,
      "step_time": 0.5,
      "batch_size": 8,
      "seq_len": 2048,
      "token_acc": 0.759,
      
      // Custom Losses
      "train/gate_ortho": 0.0234,
      "train/center": 0.0156,
      
      // System Metrics
      "gpu_memory_allocated": 17.202261447906494,
      "gpu_memory_reserved": 75.474609375,
      "gpu_utilization": 85.2,
      "cpu_percent": 2.7,
      "memory_percent": 10.1
    }
  }
]

Supported Metrics

Core Training Metrics

loss: Training loss value
accuracy: Model accuracy
learning_rate: Current learning rate
grad_norm: Gradient norm
epoch: Current epoch progress

Advanced Token Metrics

total_tokens: Total tokens processed in the batch
truncated_tokens: Number of tokens truncated during processing
padding_tokens: Number of padding tokens added
throughput: Tokens processed per second
step_time: Time taken for the current training step
batch_size: Current batch size
seq_len: Sequence length
token_acc: Token-level accuracy

Custom Losses (SmolLM3-specific)

train/gate_ortho: Gate orthogonality loss
train/center: Center loss component

System Performance Metrics

gpu_memory_allocated: GPU memory currently allocated (GB)
gpu_memory_reserved: GPU memory reserved (GB)
gpu_utilization: GPU utilization percentage
cpu_percent: CPU usage percentage
memory_percent: System memory usage percentage

Usage

This dataset is automatically used by the Trackio monitoring system to store and retrieve experiment data. It provides persistent storage for experiment tracking across different training runs.

Integration

The dataset is used by:

Trackio Spaces for experiment visualization
Training scripts for logging metrics and parameters
Monitoring systems for experiment tracking
SmolLM3 fine-tuning pipeline for comprehensive metrics capture

Privacy

This dataset is private by default to ensure experiment data security. Only users with appropriate permissions can access the data.

Examples

Sample Experiment Entry

{
  "experiment_id": "exp_20250720_130853",
  "name": "smollm3_finetune",
  "description": "SmolLM3 fine-tuning experiment with comprehensive metrics",
  "created_at": "2025-07-20T11:20:01.780908",
  "status": "running",
  "metrics": "[{\"timestamp\": \"2025-07-20T11:20:01.780908\", \"step\": 25, \"metrics\": {\"loss\": 1.1659, \"accuracy\": 0.759, \"total_tokens\": 1642080.0, \"throughput\": 3284160.0, \"train/gate_ortho\": 0.0234, \"train/center\": 0.0156}}]",
  "parameters": "{\"model_name\": \"HuggingFaceTB/SmolLM3-3B\", \"batch_size\": 8, \"learning_rate\": 3.5e-06, \"max_seq_length\": 12288}",
  "artifacts": "[]",
  "logs": "[]",
  "last_updated": "2025-07-20T11:20:01.780908"
}

License

This dataset is part of the Trackio experiment tracking system and follows the same license as the main project.