autoscientist
Recommend hyperparameters
Changed onReturns the hyperparameters AutoScientist derives for a model and the dataset's effective training size (rows plus planned augmentation). Nothing is launched. Omit model to size against the model POST /autoscientist would select for this dataset; the resolved id is returned with the values. POST /autoscientist applies the same values when hyperparams is omitted.
post/api/v1/autoscientist/recommend-hyperparams
Request
- The document declares no server URL.
- AuthHTTP bearer
- TypeScriptA function with typed inputs. Its response is checked against the schema.
Request body
Response
Example response
{
"hyperparams": {
"n_epochs": 1,
"learning_rate": 0.00005,
"lora_r": 8,
"lora_trainable_modules": "q_proj,v_proj",
"min_lr_ratio": 0.1,
"scheduler_num_cycles": 0.5,
"warmup_ratio": 0.03,
"max_grad_norm": 2,
"dpo_beta": 0.1
}
}Changes
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response's property default value0was added for the status - info
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response's property default value0.5was added for the status - info
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response's property default value0was added for the status
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