diff --git a/.gitignore b/.gitignore index 8dcb2b24..24cc3996 100644 --- a/.gitignore +++ b/.gitignore @@ -111,8 +111,9 @@ data/ # Models models/ -# Weights and Biases experiment tracking +# Experiment tracking wandb/ +mlruns/ # Data files *.xlsx diff --git a/README.md b/README.md index ba4aadbe..9733d341 100644 --- a/README.md +++ b/README.md @@ -13,7 +13,10 @@ ______________________________________________________________________ Developers: +- Anders Jess Pedersen (anders.j.pedersen@alexandra.dk) - Dan Saattrup Nielsen (dan.nielsen@alexandra.dk) +- Simon Leminen Madsen (simon.leminen@alexandra.dk) + ## Installation diff --git a/config/asr_finetuning.yaml b/config/asr_finetuning.yaml index 4b5d54dd..c8693171 100644 --- a/config/asr_finetuning.yaml +++ b/config/asr_finetuning.yaml @@ -1,16 +1,19 @@ defaults: - - model: wav2vec2-small + - model: whisper-xxsmall - datasets: - coral - decoder_datasets: - wikipedia - common_voice - reddit + - experiment_tracking: wandb - override hydra/job_logging: custom - _self_ seed: 4242 +experiment_tracking: null + evaluation_dataset: id: alexandrainst/coral subset: read_aloud @@ -48,10 +51,6 @@ fp16_allowed: true bf16_allowed: true # Training parameters -wandb: false -wandb_project: CoRal -wandb_group: default -wandb_name: ${model_id} resume_from_checkpoint: false ignore_data_skip: false save_total_limit: 0 # Will automatically be set to >=1 if `early_stopping` is enabled diff --git a/config/experiment_tracking/mlflow.yaml b/config/experiment_tracking/mlflow.yaml new file mode 100644 index 00000000..3ee4725f --- /dev/null +++ b/config/experiment_tracking/mlflow.yaml @@ -0,0 +1,3 @@ +type: mlflow +name_experiment: CoRal +name_run: ${model_id} diff --git a/config/experiment_tracking/wandb.yaml b/config/experiment_tracking/wandb.yaml new file mode 100644 index 00000000..0878c738 --- /dev/null +++ b/config/experiment_tracking/wandb.yaml @@ -0,0 +1,4 @@ +type: wandb +name_experiment: CoRal +name_run: ${model_id} +name_group: default diff --git a/poetry.lock b/poetry.lock index 11ec51cd..be57b1f4 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,14 +1,14 @@ -# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand. 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(>=6,!=8.1.*)", "pytest-ignore-flaky"] +type = ["pytest-mypy"] + [extras] all = ["gradio", "kenlm", "matplotlib", "punctfix", "samplerate"] demo = ["gradio", "punctfix", "samplerate"] @@ -6661,4 +7437,4 @@ plotting = ["matplotlib"] [metadata] lock-version = "2.0" python-versions = ">=3.11,<3.13" -content-hash = "d6ae0cbc1b92457c526707f0f4267453caece6ec43838a54cb804ebb49df0974" +content-hash = "d5c3aa6de2f29be14efbe737de230fcd93ac9d3128cfdf769ef81f824015b7f5" diff --git a/pyproject.toml b/pyproject.toml index 44735d46..a56520ef 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -36,6 +36,7 @@ gradio = {version = "^5.5.0", optional=true} samplerate = {version="^0.2.1", optional=true} punctfix = {version="^0.11.1", optional=true} matplotlib = {version = "^3.9.2", optional = true} +mlflow = "^2.17.2" [tool.poetry.group.dev.dependencies] pytest = ">=8.1.1" diff --git a/src/coral/experiment_tracking/__init__.py b/src/coral/experiment_tracking/__init__.py new file mode 100644 index 00000000..4c4a3292 --- /dev/null +++ b/src/coral/experiment_tracking/__init__.py @@ -0,0 +1,4 @@ +"""The CoRal project. + +Experiment tracking. +""" diff --git a/src/coral/experiment_tracking/extracking_factory.py b/src/coral/experiment_tracking/extracking_factory.py new file mode 100644 index 00000000..8f7ce4a2 --- /dev/null +++ b/src/coral/experiment_tracking/extracking_factory.py @@ -0,0 +1,28 @@ +"""Factory for experiment tracking setup.""" + +from omegaconf import DictConfig + +from .extracking_setup import ExTrackingSetup +from .mlflow_setup import MLFlowSetup +from .wandb_setup import WandbSetup + + +def load_extracking_setup(config: DictConfig) -> ExTrackingSetup: + """Return the experiment tracking setup. + + Args: + config: + The configuration object. + + Returns: + The experiment tracking setup. + """ + match config.experiment_tracking.type: + case "wandb": + return WandbSetup(config=config) + case "mlflow": + return MLFlowSetup(config=config) + case _: + raise ValueError( + f"Unknown experiment tracking type: {config.experiment_tracking.type}" + ) diff --git a/src/coral/experiment_tracking/extracking_setup.py b/src/coral/experiment_tracking/extracking_setup.py new file mode 100644 index 00000000..44d45f38 --- /dev/null +++ b/src/coral/experiment_tracking/extracking_setup.py @@ -0,0 +1,34 @@ +"""This module contains the base class for an experiment tracking setup.""" + +from abc import ABC, abstractmethod + +from omegaconf import DictConfig + + +class ExTrackingSetup(ABC): + """Base class for an experiment tracking setup.""" + + @abstractmethod + def __init__(self, config: DictConfig) -> None: + """Initialise the experiment tracking setup. + + Args: + config: + The configuration object. + """ + + @abstractmethod + def run_initialization(self) -> None: + """Run the initialization of the experiment tracking setup. + + Returns: + True if the initialization was successful, False otherwise. + """ + + @abstractmethod + def run_finalization(self) -> None: + """Run the finalization of the experiment tracking setup. + + Returns: + True if the finalization was successful, False otherwise. + """ diff --git a/src/coral/experiment_tracking/mlflow_setup.py b/src/coral/experiment_tracking/mlflow_setup.py new file mode 100644 index 00000000..400bb070 --- /dev/null +++ b/src/coral/experiment_tracking/mlflow_setup.py @@ -0,0 +1,33 @@ +"""MLFlow experiment tracking setup class.""" + +import os + +import mlflow +from omegaconf import DictConfig + +from .extracking_setup import ExTrackingSetup + + +class MLFlowSetup(ExTrackingSetup): + """MLFlow setup class.""" + + def __init__(self, config: DictConfig) -> None: + """Initialise the MLFlow setup. + + Args: + config: + The configuration object. + """ + self.config = config + self.is_main_process = os.getenv("RANK", "0") == "0" + + def run_initialization(self) -> None: + """Run the initialization of the experiment tracking setup.""" + mlflow.set_experiment(self.config.experiment_tracking.name_experiment) + mlflow.start_run(run_name=self.config.experiment_tracking.name_run) + return + + def run_finalization(self) -> None: + """Run the finalization of the experiment tracking setup.""" + mlflow.end_run() + return diff --git a/src/coral/experiment_tracking/wandb_setup.py b/src/coral/experiment_tracking/wandb_setup.py new file mode 100644 index 00000000..ba46eb54 --- /dev/null +++ b/src/coral/experiment_tracking/wandb_setup.py @@ -0,0 +1,37 @@ +"""wandb experiment tracking setup class.""" + +import os + +import wandb +from omegaconf import DictConfig + +from .extracking_setup import ExTrackingSetup + + +class WandbSetup(ExTrackingSetup): + """Wandb setup class.""" + + def __init__(self, config: DictConfig) -> None: + """Initialise the Wandb setup. + + Args: + config: + The configuration object. + """ + self.config = config + self.is_main_process = os.getenv("RANK", "0") == "0" + + def run_initialization(self) -> None: + """Run the initialization of the experiment tracking setup.""" + wandb.init( + project=self.config.experiment_tracking.name_experiment, + name=self.config.experiment_tracking.name_run, + group=self.config.experiment_tracking.name_group, + config=dict(self.config), + ) + return + + def run_finalization(self) -> None: + """Run the finalization of the experiment tracking setup.""" + wandb.finish() + return diff --git a/src/coral/finetune.py b/src/coral/finetune.py index b49957d8..274b2c81 100644 --- a/src/coral/finetune.py +++ b/src/coral/finetune.py @@ -5,11 +5,10 @@ from omegaconf import DictConfig from transformers import EarlyStoppingCallback, TrainerCallback -from wandb import finish as wandb_finish -from wandb.sdk.wandb_init import init as wandb_init from .data import load_data_for_finetuning from .data_models import ModelSetup +from .experiment_tracking.extracking_factory import load_extracking_setup from .model_setup import load_model_setup from .ngram import train_and_store_ngram_model from .utils import block_terminal_output, disable_tqdm, push_model_to_hub @@ -33,13 +32,9 @@ def finetune(config: DictConfig) -> None: model = model_setup.load_model() dataset = load_data_for_finetuning(config=config, processor=processor) - if config.wandb and is_main_process: - wandb_init( - project=config.wandb_project, - group=config.wandb_group, - name=config.wandb_name, - config=dict(config), - ) + if bool(config.experiment_tracking) and is_main_process: + extracking_setup = load_extracking_setup(config=config) + extracking_setup.run_initialization() if "val" not in dataset and is_main_process: logger.info("No validation set found. Disabling early stopping.") @@ -58,8 +53,9 @@ def finetune(config: DictConfig) -> None: block_terminal_output() with disable_tqdm(): trainer.train(resume_from_checkpoint=config.resume_from_checkpoint) - if config.wandb and is_main_process: - wandb_finish() + + if bool(config.experiment_tracking) and is_main_process: + extracking_setup.run_finalization() model.save_pretrained(save_directory=config.model_dir) diff --git a/src/coral/wav2vec2.py b/src/coral/wav2vec2.py index f32dab4c..d421af8d 100644 --- a/src/coral/wav2vec2.py +++ b/src/coral/wav2vec2.py @@ -206,7 +206,9 @@ def load_training_arguments(self) -> TrainingArguments: optim=OptimizerNames.ADAMW_TORCH, adam_beta1=self.config.adam_first_momentum, adam_beta2=self.config.adam_second_momentum, - report_to=["wandb"] if self.config.wandb else [], + report_to=[self.config.experiment_tracking.type] + if self.config.experiment_tracking + else [], ignore_data_skip=self.config.ignore_data_skip, save_safetensors=True, use_cpu=hasattr(sys, "_called_from_test"), diff --git a/src/coral/whisper.py b/src/coral/whisper.py index 395804f1..923d2dbf 100644 --- a/src/coral/whisper.py +++ b/src/coral/whisper.py @@ -190,7 +190,9 @@ def load_training_arguments(self) -> TrainingArguments: optim=OptimizerNames.ADAMW_TORCH, adam_beta1=self.config.adam_first_momentum, adam_beta2=self.config.adam_second_momentum, - report_to=["wandb"] if self.config.wandb else [], + report_to=[self.config.experiment_tracking.type] + if self.config.experiment_tracking + else [], ignore_data_skip=self.config.ignore_data_skip, save_safetensors=True, predict_with_generate=True,