File size: 1,541 Bytes
ea118a4 | 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 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 | from transformers.configuration_utils import PretrainedConfig
class TinyConfig(PretrainedConfig):
"""
Configuration class for TinyStories Transformer.
"""
model_type = "tiny"
def __init__(
self,
vocab_size=8000,
hidden_size=384,
intermediate_size=1024,
num_hidden_layers=8,
num_attention_heads=6,
max_position_embeddings=512,
rms_norm_eps=1e-5,
rope_theta=10000.0,
tie_word_embeddings=True,
bos_token_id=2,
eos_token_id=3,
pad_token_id=0,
initializer_range=0.02,
hidden_dropout=0.0,
attention_dropout=0.0,
**kwargs,
):
super().__init__(
bos_token_id=bos_token_id,
eos_token_id=eos_token_id,
pad_token_id=pad_token_id,
tie_word_embeddings=tie_word_embeddings,
**kwargs,
)
self.vocab_size = vocab_size
self.hidden_size = hidden_size
self.intermediate_size = intermediate_size
self.num_hidden_layers = num_hidden_layers
self.num_attention_heads = num_attention_heads
self.max_position_embeddings = max_position_embeddings
self.rms_norm_eps = rms_norm_eps
self.rope_theta = rope_theta
self.initializer_range = initializer_range
self.hidden_dropout = hidden_dropout
self.attention_dropout = attention_dropout
@property
def head_dim(self):
return self.hidden_size // self.num_attention_heads |