{"record":{"id":"f8db379d39489a7a","repo":"tensorflow/models","slug":"invalid-metric-type-f8db37","errorCode":null,"errorMessage":"Invalid metric_type: {}","messagePattern":"Invalid metric_type: (.+?)","errorType":"exception","errorClass":"ValueError","httpStatus":null,"severity":"error","filePath":"official/projects/lra/lra_dual_encoder_task.py","lineNumber":76,"sourceCode":"  # be specified.\n  init_checkpoint: str = ''\n  init_cls_pooler: bool = False\n  hub_module_url: str = ''\n  metric_type: str = 'accuracy'\n  # Defines the concrete model config at instantiation time.\n  model: ModelConfig = ModelConfig()\n  train_data: cfg.DataConfig = cfg.DataConfig()\n  validation_data: cfg.DataConfig = cfg.DataConfig()\n\n\n@task_factory.register_task_cls(DualEncoderConfig)\nclass DualEncoderTask(base_task.Task):\n  \"\"\"Task object for DualEncoderTask.\"\"\"\n\n  def __init__(self, params: cfg.TaskConfig, logging_dir=None, name=None):\n    super().__init__(params, logging_dir, name=name)\n    if params.metric_type not in METRIC_TYPES:\n      raise ValueError('Invalid metric_type: {}'.format(params.metric_type))\n    self.metric_type = params.metric_type\n    if hasattr(params.train_data, 'label_field'):\n      self.label_field = params.train_data.label_field\n    else:\n      self.label_field = 'label_ids'\n\n  def build_model(self):\n    if self.task_config.hub_module_url and self.task_config.init_checkpoint:\n      raise ValueError(\n          'At most one of `hub_module_url` and '\n          '`init_checkpoint` can be specified.'\n      )\n    if self.task_config.hub_module_url:\n      encoder_network = utils.get_encoder_from_hub(\n          self.task_config.hub_module_url\n      )\n    else:\n      encoder_network = encoders.build_encoder(self.task_config.model.encoder)","sourceCodeStart":58,"sourceCodeEnd":94,"githubUrl":"https://github.com/tensorflow/models/blob/e006f5f0d534913e49c1f1dae87364039fa607e2/official/projects/lra/lra_dual_encoder_task.py#L58-L94","documentation":"Error \"Invalid metric_type: {}\" thrown in tensorflow/models.","triggerScenarios":"Thrown at official/projects/lra/lra_dual_encoder_task.py:76 when the library encounters an invalid state.","commonSituations":"See trigger scenarios.","solutions":[],"exampleFix":null,"handlingStrategy":null,"validationCode":null,"typeGuard":null,"tryCatchPattern":null,"preventionTips":[],"tags":[],"backgroundTag":null,"analyzedSha":"e006f5f0d534913e49c1f1dae87364039fa607e2","analyzedAt":"2026-08-24T14:09:15.576Z","schemaVersion":2},"datasetVersion":"2026-08-24T17:17:21.512Z"}