MLX Training Interface

Training Configuration

Model

Training Dataset

Output Directory

Batch Size

Learning Rate

Max Iterations

Warmup Steps

Max Sequence Length

Weight Decay

LR Decay Factor

Fine-tuning Type Full trains all parameters, LoRA/DoRA use parameter-efficient methods

Layers to Fine-tune Use -1 for all layers or specify number (for LoRA/DoRA)

LR Schedule

Save Every X Steps

Eval Every X Steps

Quick Val % Percentage of validation set used for quick checks

Validation Split Fraction of data used for validation

Enable Early Stopping When enabled, training stops if validation loss stops improving (disabled by default)

Training Estimates: Configure parameters to see estimates

Learning Rate Schedule Preview

Training Status

No training in progress

Training Sessions

Loading checkpoints...

Training Session

Select Training Session

Iteration

Train Loss

Val Loss

Perplexity

Tokens/sec

Trained Tokens

Epoch

Memory (GB)

Learning Rate

Warmup Steps

LR Decay

Weight Decay

Training Progress

E.Time: -- R.Time: -- 0%

Top 3 Best Checkpoints

No training data available

All Available Checkpoints

Select Checkpoint to Publish

This list shows all available checkpoints for the selected training session.

Model Configuration

Base Model

Adapter Path (Optional)

System Prompt

Generation Parameters

Max Tokens

Context Window

Temperature

Top P

Rep. Penalty

Real-time Streaming

Shows text as it's generated

Generation Output

Model ready! Type a message below to start the conversation.