Index

A

architecture (finetuner.models.BERT attribute) (finetuner.models.EfficientNetB0 attribute) (finetuner.models.EfficientNetB4 attribute) (finetuner.models.MLP attribute) (finetuner.models.OpenAICLIP attribute) (finetuner.models.ResNet152 attribute) (finetuner.models.ResNet50 attribute) (finetuner.models.SentenceTransformer attribute)

B

baseline (finetuner.callback.EarlyStopping attribute) batch_size (finetuner.callback.EvaluationCallback attribute)

BERT (class in finetuner.models) BestModelCheckpoint (class in finetuner.callback)

C

Class dataset config (finetuner.run.Run property) create_experiment() (finetuner.client.client.FinetunerV1Client method) (finetuner.finetuner.Finetuner method) (in module finetuner)

create_run() (finetuner.client.client.FinetunerV1Client method) (finetuner.experiment.Experiment method) (finetuner.finetuner.Finetuner method) (in module finetuner)

D

delete_experiment() (finetuner.client.client.FinetunerV1Client method) (finetuner.finetuner.Finetuner method) (in module finetuner) delete_experiments() (finetuner.client.client.FinetunerV1Client method) (finetuner.finetuner.Finetuner method) (in module finetuner) delete_run() (finetuner.client.client.FinetunerV1Client method) (finetuner.experiment.Experiment method) (finetuner.finetuner.Finetuner method) (in module finetuner) delete_runs() (finetuner.client.client.FinetunerV1Client method) (finetuner.experiment.Experiment method) (finetuner.finetuner.Finetuner method) (in module finetuner)

describe_models() (in module finetuner) description (finetuner.models.BERT attribute) (finetuner.models.EfficientNetB0 attribute) (finetuner.models.EfficientNetB4 attribute) (finetuner.models.MLP attribute) (finetuner.models.OpenAICLIP attribute) (finetuner.models.ResNet152 attribute) (finetuner.models.ResNet50 attribute) (finetuner.models.SentenceTransformer attribute) distance (finetuner.callback.EvaluationCallback attribute)

E

EarlyStopping (class in finetuner.callback) EfficientNetB0 (class in finetuner.models) EfficientNetB4 (class in finetuner.models)

Embedding model EvaluationCallback (class in finetuner.callback) exclude_self (finetuner.callback.EvaluationCallback attribute) Experiment (class in finetuner.experiment)

F

finetuner module Finetuner (class in finetuner.finetuner) finetuner.callback module finetuner.client module finetuner.client.client module

finetuner.experiment module finetuner.finetuner module finetuner.models module finetuner.run module FinetunerV1Client (class in finetuner.client.client) fit() (in module finetuner)

G

General model get_experiment() (finetuner.client.client.FinetunerV1Client method) (finetuner.finetuner.Finetuner method) (in module finetuner) get_run() (finetuner.client.client.FinetunerV1Client method) (finetuner.experiment.Experiment method) (finetuner.finetuner.Finetuner method) (in module finetuner)

get_run_logs() (finetuner.client.client.FinetunerV1Client method) get_run_status() (finetuner.client.client.FinetunerV1Client method)

I

index_data (finetuner.callback.EvaluationCallback attribute)

Instance dataset

L

last_k_epochs (finetuner.callback.TrainingCheckpoint attribute) limit (finetuner.callback.EvaluationCallback attribute) list_callbacks() (in module finetuner) list_experiments() (finetuner.client.client.FinetunerV1Client method) (finetuner.finetuner.Finetuner method) (in module finetuner) list_model_options() (in module finetuner)

list_models() (in module finetuner) list_runs() (finetuner.client.client.FinetunerV1Client method) (finetuner.experiment.Experiment method) (finetuner.finetuner.Finetuner method) (in module finetuner) login() (finetuner.finetuner.Finetuner method) (in module finetuner) logs() (finetuner.run.Run method)

M

min_delta (finetuner.callback.EarlyStopping attribute) MLP (class in finetuner.models) mode (finetuner.callback.BestModelCheckpoint attribute) (finetuner.callback.EarlyStopping attribute) module finetuner finetuner.callback finetuner.client finetuner.client.client finetuner.experiment finetuner.finetuner finetuner.models finetuner.run

monitor (finetuner.callback.BestModelCheckpoint attribute) (finetuner.callback.EarlyStopping attribute)

N

name (finetuner.experiment.Experiment property) (finetuner.models.BERT attribute) (finetuner.models.EfficientNetB0 attribute) (finetuner.models.EfficientNetB4 attribute) (finetuner.models.MLP attribute) (finetuner.models.OpenAICLIP attribute) (finetuner.models.ResNet152 attribute) (finetuner.models.ResNet50 attribute) (finetuner.models.SentenceTransformer attribute) (finetuner.run.Run property)

O

OpenAICLIP (class in finetuner.models) options (finetuner.models.BERT attribute) (finetuner.models.EfficientNetB0 attribute) (finetuner.models.EfficientNetB4 attribute) (finetuner.models.MLP attribute) (finetuner.models.OpenAICLIP attribute) (finetuner.models.ResNet152 attribute) (finetuner.models.ResNet50 attribute) (finetuner.models.SentenceTransformer attribute)

output_dim (finetuner.models.BERT attribute) (finetuner.models.EfficientNetB0 attribute) (finetuner.models.EfficientNetB4 attribute) (finetuner.models.MLP attribute) (finetuner.models.OpenAICLIP attribute) (finetuner.models.ResNet152 attribute) (finetuner.models.ResNet50 attribute) (finetuner.models.SentenceTransformer attribute)

P

patience (finetuner.callback.EarlyStopping attribute)

Q

query_data (finetuner.callback.EvaluationCallback attribute)

R

ResNet152 (class in finetuner.models)

ResNet50 (class in finetuner.models) Run (class in finetuner.run)

S

save_artifact() (finetuner.run.Run method) SentenceTransformer (class in finetuner.models)

Session dataset status (finetuner.experiment.Experiment property) status() (finetuner.run.Run method)

T

Tailor task (finetuner.models.BERT attribute) (finetuner.models.EfficientNetB0 attribute) (finetuner.models.EfficientNetB4 attribute) (finetuner.models.MLP attribute) (finetuner.models.OpenAICLIP attribute) (finetuner.models.ResNet152 attribute) (finetuner.models.ResNet50 attribute) (finetuner.models.SentenceTransformer attribute)

TrainingCheckpoint (class in finetuner.callback) Tuner

W

WandBLogger (class in finetuner.callback)