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[Evals API][4/n] evals with generation meta-reference impl (#303)

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* wip

* dataset validation

* test_scoring

* cleanup

* clean up test

* comments

* error checking

* dataset client

* test client:

* datasetio client

* clean up

* basic scoring function works

* scorer wip

* equality scorer

* score batch impl

* score batch

* update scoring test

* refactor

* validate scorer input

* address comments

* evals with generation

* add all rows scores to ScoringResult

* minor typing

* bugfix

* scoring function def rename

* rebase name

* refactor

* address comments

* Update iOS inference instructions for new quantization

* Small updates to quantization config

* Fix score threshold in faiss

* Bump version to 0.0.45

* Handle both ipv6 and ipv4 interfaces together

* update manifest for build templates

* Update getting_started.md

* chatcompletion & completion input type validation

* inclusion->subsetof

* error checking

* scoring_function -> scoring_fn rename, scorer -> scoring_fn rename

* address comments

* [Evals API][5/n] fixes to generate openapi spec (#323)

* generate openapi

* typing comment, dataset -> dataset_id

* remove custom type

* sample eval run.yaml

---------

Co-authored-by: Dalton Flanagan <6599399+dltn@users.noreply.github.com>
Co-authored-by: Ashwin Bharambe <ashwin.bharambe@gmail.com>
This commit is contained in:
Xi Yan 2024-10-25 13:12:39 -07:00 • committed by GitHub
parent 426d821e7f
commit abdf7cddf3
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31 changed files with 3371 additions and 1296 deletions
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18
llama_stack/apis/post_training/post_training.py
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@ -14,7 +14,7 @@ from llama_models.schema_utils import json_schema_type, webmethod
from pydantic import BaseModel, Field
from llama_models.llama3.api.datatypes import * # noqa: F403
from llama_stack.apis.dataset import * # noqa: F403
from llama_stack.apis.datasets import * # noqa: F403
from llama_stack.apis.common.training_types import * # noqa: F403
@ -107,8 +107,8 @@ class PostTrainingSFTRequest(BaseModel):
job_uuid: str
model: str
dataset: TrainEvalDataset
validation_dataset: TrainEvalDataset
dataset_id: str
validation_dataset_id: str
algorithm: FinetuningAlgorithm
algorithm_config: Union[
@ -131,8 +131,8 @@ class PostTrainingRLHFRequest(BaseModel):
finetuned_model: URL
dataset: TrainEvalDataset
validation_dataset: TrainEvalDataset
dataset_id: str
validation_dataset_id: str
algorithm: RLHFAlgorithm
algorithm_config: Union[DPOAlignmentConfig]
@ -181,8 +181,8 @@ class PostTraining(Protocol):
self,
job_uuid: str,
model: str,
dataset: TrainEvalDataset,
validation_dataset: TrainEvalDataset,
dataset_id: str,
validation_dataset_id: str,
algorithm: FinetuningAlgorithm,
algorithm_config: Union[
LoraFinetuningConfig, QLoraFinetuningConfig, DoraFinetuningConfig
@ -198,8 +198,8 @@ class PostTraining(Protocol):
self,
job_uuid: str,
finetuned_model: URL,
dataset: TrainEvalDataset,
validation_dataset: TrainEvalDataset,
dataset_id: str,
validation_dataset_id: str,
algorithm: RLHFAlgorithm,
algorithm_config: Union[DPOAlignmentConfig],
optimizer_config: OptimizerConfig,