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Training

8 items tagged with "training"

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Tutorials1

How to fine-tune a language model on your own data

Adapt a base language model to your domain with supervised fine-tuning, covering data prep, training, and evaluation.

Stacks1

MLOps Stack

MLflow, Kubeflow, TensorFlow, Feature Store - ML lifecycle

Benchmarks2

MLPerf Training

Industry-standard benchmark suite measuring how fast hardware and software systems train machine-learning models to a fixed target quality.

DAWNBench

Stanford benchmark that measured end-to-end deep-learning training and inference by time-to-accuracy and cost, popularizing those metrics.

FAQs2

What is fine-tuning a model?

Fine-tuning is the process of continuing to train a pre-trained model on a smaller, task-specific dataset so it adapts to a particular domain, style, ...

What is overfitting in machine learning?

Overfitting happens when a model learns the training data too closely, including its noise and quirks, so it performs well on that data but poorly on ...

Glossaries2

Fine-Tuning

Fine-tuning is the process of further training a pretrained model on a smaller, task-specific dataset to specialize its behavior, style, or domain knowledge.

Training

Training is the process of adjusting a model's parameters from data so it learns to perform a task, typically by minimizing a loss function with gradient descent.