排队优化器步骤

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

必填

Your Fastino API key.

string

必填

Interactive job ID.

The JSON body is optional.

object

AdamW parameters. Omitted fields use their defaults.

显示 properties

number

默认值:"0.0001"

Learning rate, >= 0.

number

默认值:"0.9"

From 0 up to, but not including, 1.

number

默认值:"0.95"

From 0 up to, but not including, 1.

number

默认值:"1e-12"

> 0.

number

默认值:"0"

>= 0.

number

默认值:"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"
}

推理

训练

Request

Response

​Request

​Response

Request

Response