Encolar un paso del optimizador

POST

https://api.fastino.ai

training

jobs

{job_id}

optim-step

curl -X POST "https://api.fastino.ai/v1/training/jobs/$TRAINING_JOB_ID/optim-step" \
  -H "X-API-Key: $FASTINO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"adam_params": {"learning_rate": 0.0001}}'

{
  "future_id": "FUTURE_ID",
  "job_id": "SESSION_ID:train:0",
  "type": "optim_step"
}

POST /v1/training/jobs/{job_id}/optim-step Applies the gradients accumulated by forward-backward passes since the last step, using AdamW. Calls run in the order the job receives them, so you can queue this right after a forward-backward pass without waiting for it.

Request

string

requerido

Your Fastino API key.

string

requerido

Interactive job ID.

The JSON body is optional.

object

AdamW parameters. Omitted fields use their defaults.

Mostrar properties

number

predeterminado:"0.0001"

Learning rate, >= 0.

number

predeterminado:"0.9"

From 0 up to, but not including, 1.

number

predeterminado:"0.95"

From 0 up to, but not including, 1.

number

predeterminado:"1e-12"

> 0.

number

predeterminado:"0"

>= 0.

number

predeterminado:"0"

Gradient-norm clip, >= 0. 0 disables clipping.

curl -X POST "https://api.fastino.ai/v1/training/jobs/$TRAINING_JOB_ID/optim-step" \
  -H "X-API-Key: $FASTINO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"adam_params": {"learning_rate": 0.0001}}'

Response

{
  "future_id": "FUTURE_ID",
  "job_id": "SESSION_ID:train:0",
  "type": "optim_step"
}

The completed future’s result holds the step’s metrics.

Status	Meaning
`400`	An Adam parameter is out of range, or the job was stopped.
`404`	The job doesn’t exist or belongs to another team.
`422`	The body has an unknown field.

⌘I

curl -X POST "https://api.fastino.ai/v1/training/jobs/$TRAINING_JOB_ID/optim-step" \
  -H "X-API-Key: $FASTINO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"adam_params": {"learning_rate": 0.0001}}'

{
  "future_id": "FUTURE_ID",
  "job_id": "SESSION_ID:train:0",
  "type": "optim_step"
}

Inferencia

Entrenamiento

Encolar un paso del optimizador

Request

Response

​Request

​Response

Request

Response