aws / aws/sagemaker-python-sdk

Expand SFTTrainer API so Compute Can be Customized

Abierto
#5,543 1 comentario 0 reacciones 0 asignados Ver en GitHub
Lenguaje dominante
Python
Estrellas
2.3k
Forks
1.3k
Merge medio
1 d 22 h
PR fusionados (30 d)
35

Descripción

**What did you find confusing? Please describe.**
How do I configure the number of instances trained with? What about the timeout? Is there a link to the implementation? Are there docs for the arguments it takes in for the constructor and train methods?

**Describe how documentation can be improved**
Add details about the arguments it takes in including examples

**Additional context**
There needs to be ways the above settings can be configured. For larger fine-tuning jobs it's too slow.

Guía de contribución

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Línea de trabajo

Start by locating the SFTTrainer constructor and train method implementation and their existing documentation. Document the arguments with examples, including the requested instance-count and timeout settings, and link to the implementation; the documentation should make these options and their configuration clear.

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Evaluación

Stack tecnológico
aws, python
Área
cloud, documentation, machine-learning
Tipo de issue
Documentación
Dificultad
3/5
Tiempo estimado
1-2 días
Estado de actividad
Estancado
Claridad
Bastante claro
Aptitud para principiantes
42/100

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