LLM (Large Language Model) Management

Select Model

Drag and drop a JSONL dataset file here or click to browse

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Learning Rate

0.001

Batch Size

Epochs

Gradient Accumulation

Optimizer

Adam SGD

Dropout Rate

0.2

Gradient Clipping

1.0

Weight Decay

0.01

Checkpoint Interval (epochs)

Mixed Precision Training

Enable (Requires compatible GPU)

Sequence Length

128

Warmup Steps

100

Learning Rate Scheduler

Evaluation Strategy

Early Stopping

Enable (Stop if no improvement after 3 evaluations)

Epoch: 0

Loss: 0.0

Accuracy: 0.0%

Model weights will be displayed here after training.

Final Accuracy: 0.0%

F1 Score: 0.0