args.eval_batch_size, 'work_dir': args.eval_output_dir, 'models': [ { 'path': model_type, 'openai_api_base': url, 'is_chat': is_chat, 'key': args.eval_token, 'temperature': args.temperature }, ], **limit_config, @@ -228,18 +233,21 @@ def vlmeval_runner(args: EvalArg...
def train_and_eval(): """Train and eval routine.""" learn_runner.run( experiment_fn=_experiment_fn, schedule=FLAGS.schedule, run_config=_get_config(), hparams=_get_hparams()) Example 27Source File: fofe_validate.py From classifying-text with BSD 2-Clause "Simplified" License 5 votes ...
{envpython} -m pylint --load-plugins pylint_pydantic {posargs:--disable=import-error src/instructlab/eval/}[testenv:ruff] description = reformat and fix code with Ruff (and isort) skip_install = True skipsdist = true # keep in sync with .pre-commit-config.yaml ...
result = run_func(*args, **kwargs) File "/home/gaixcdata/models/mindformers-dev/scripts/mf_standalone/run_mindformer.py", line 39, in main trainer.train() File "/root/miniconda3/envs/mindspore2.2_py39/lib/python3.9/site-packages/mindspore/_checkparam.py", line 1313, in wrapper retu...
in training_process initial_epoch=config.runner_config.initial_epoch) File "/home/miniconda3/envs/ci/lib/python3.7/site-packages/mindspore/train/model.py", line 1094, in train initial_epoch=initial_epoch) File "/home/miniconda3/envs/ci/lib/python3.7/site-packages/mindspore/train/model.py",...
Args: fname: file_path to save model. If not explicitly given seld.opt["ser_file"] will be used Returns: None """ifnotfname: fname = self.save_pathelse: fname = Path(fname).resolve()ifnotfname.parent.is_dir():raiseConfigError("Provided save path is incorrect!")else: ...
Added significant flexibility for Hugging Face Hub based timm models via model_args config entry. model_args will be passed as kwargs through to models on creation. See example at https://huggingface.co/gaunernst/vit_base_patch16_1024_128.audiomae_as2m_ft_as20k/blob/main/config.json ...
FixArgs v0.1.0 FixYourWorkaround v0.1.1 FixedEffectModels v1.3.1 FixedEffects v2.0.0 FixedPointAcceleration v0.1.1 FixedPointDecimals v0.3.0 FixedPointNumbers v0.8.4 FixedPointSinCosApproximations v0.2.0 FixedSizeStrings v0.1.0 FlagSets v0.1.0 FlameGraphs v0.2.4 FlashWeave v0.18.0 Flat...
supported_args = ("run", "example", "inputs", "outputs", "reference_outputs") supported_args = ( "run", "example", "inputs", "outputs", "reference_outputs", "attachments", ) sig = inspect.signature(func) positional_args = [ pname @@ -659,6 +666,7 @@ async def awrapper( ...
config['running_config'],self.config['model_config']['one2one']) self.runner.set_progbar(self.dg.eval_per_epoch_steps()) self.runner.compile(self.model) def make_eval_batch_data(self): batches = [] for _ in range(self.config['running_config']['eval_steps_per_batches']):...