File size: 1,507 Bytes
04e8356 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 | from transformers import PretrainedConfig
class SAUTEConfig(PretrainedConfig):
model_type = "saute"
def __init__(
self,
vocab_size=30522,
hidden_size=768,
max_position_embeddings=512,
max_edus_per_dialog=100,
max_edu_length=128,
num_attention_heads=12,
num_hidden_layers=6,
intermediate_size=3072,
hidden_dropout_prob=0.1,
attention_probs_dropout_prob=0.1,
num_speaker_embeddings=512,
speaker_embeddings_size=768,
max_speakers=200,
num_token_layers=2,
num_edu_layers=2,
**kwargs
):
super().__init__(**kwargs)
self.vocab_size = vocab_size
self.hidden_size = hidden_size
self.max_edu_length = max_edu_length
self.max_speakers = max_speakers
self.max_edus_per_dialog = max_edus_per_dialog
self.num_attention_heads = num_attention_heads
self.num_hidden_layers = num_hidden_layers
self.intermediate_size = intermediate_size
self.hidden_dropout_prob = hidden_dropout_prob
self.num_speaker_embeddings = num_speaker_embeddings
self.speaker_embeddings_size = speaker_embeddings_size
self.max_position_embeddings = max_position_embeddings
self.attention_probs_dropout_prob = attention_probs_dropout_prob
self.num_token_layers = num_token_layers
self.num_edu_layers = num_edu_layers |