| | from transformers.utils import logging |
| | from transformers.configuration_utils import PretrainedConfig |
| |
|
| |
|
| | logger = logging.get_logger(__name__) |
| |
|
| |
|
| | class OpenBAConfig(PretrainedConfig): |
| | model_type = "openba" |
| | keys_to_ignore_at_inference = ["past_key_values"] |
| | attribute_map = { |
| | "hidden_size": "hidden_size", |
| | "num_attention_heads": "num_heads", |
| | "num_hidden_layers": "num_layers" |
| | } |
| |
|
| | def __init__( |
| | self, |
| | vocab_size=32128, |
| | hidden_size=512, |
| | kv_channels=64, |
| | ffn_hidden_size=2048, |
| | num_layers=12, |
| | num_decoder_layers=None, |
| | hidden_dropout=0.1, |
| | attention_dropout=0.1, |
| | num_heads=8, |
| | is_encoder_decoder=True, |
| | use_cache=True, |
| | initializer_factor=1.0, |
| | pad_token_id=0, |
| | eos_token_id=1, |
| | decoder_start_token_id=0, |
| | add_qkv_bias=False, |
| | add_ffn_bias=False, |
| | add_lm_head_bias=False, |
| | max_seq_length=1024, |
| | decoder_max_seq_length=256, |
| | **kwargs, |
| | ): |
| | self.vocab_size = vocab_size |
| | self.hidden_size = hidden_size |
| | self.kv_channels = kv_channels |
| | self.ffn_hidden_size = ffn_hidden_size |
| | self.num_layers = num_layers |
| | self.num_decoder_layers = ( |
| | num_decoder_layers if num_decoder_layers is not None else self.num_layers |
| | ) |
| | self.hidden_dropout = hidden_dropout |
| | self.attention_dropout = attention_dropout |
| | self.initializer_factor = initializer_factor |
| | self.num_heads = num_heads |
| | self.add_qkv_bias = add_qkv_bias |
| | self.add_ffn_bias = add_ffn_bias |
| | self.add_lm_head_bias = add_lm_head_bias |
| | self.max_seq_length = max_seq_length |
| | self.decoder_max_seq_length = decoder_max_seq_length |
| | self.use_cache = use_cache |
| |
|
| | super().__init__( |
| | pad_token_id=pad_token_id, |
| | eos_token_id=eos_token_id, |
| | decoder_start_token_id=decoder_start_token_id, |
| | is_encoder_decoder=is_encoder_decoder, |
| | **kwargs, |
| | ) |
