cerebras.modelzoo.data.nlp.bert.BertClassifierDataProcessor.MNLIDataProcessorConfig#

class cerebras.modelzoo.data.nlp.bert.BertClassifierDataProcessor.MNLIDataProcessorConfig(*args, **kwargs)[source]#

Methods

`check_for_deprecated_fields`
`check_literal_discriminator_field`
`copy`
`get_orig_class`
`get_orig_class_args`
`get_vocab_file`
`model_copy`
`model_post_init`
`post_init`

Attributes

`attn_mask_pad_id`
`batch_size`	The batch size.
`data_dir`	Path to the data files to use.
`discriminator`
`discriminator_value`
`do_lower`	Flag to lower case the texts.
`drop_last`	Whether to drop last batch of epoch if it's an incomplete batch.
`input_pad_id`
`is_training`	Whether the data processor is used for training or validation.
`labels_pad_id`
`max_sequence_length`
`model_config`
`num_workers`	The number of PyTorch processes used in the dataloader.
`persistent_workers`	Whether or not to keep workers persistent between epochs.
`prefetch_factor`	The number of batches to prefetch in the dataloader.
`shuffle`	Whether or not to shuffle the dataset.
`shuffle_seed`	The seed used for deterministic shuffling.
`vocab_file`	Path to the vocabulary file.
`data_processor`

cerebras.modelzoo.data.nlp.bert.BertClassifierDataProcessor.MNLIDataProcessor

cerebras.modelzoo.data.nlp.bert.BertClassifierDataProcessor.MNLIDataset