configuration_tinytransformer.py

from transformers import PretrainedConfig

class TinyTransformerConfig(PretrainedConfig):
    model_type = "tinytransformer"
    
    def __init__(
        self,
        vocab_size=5000,
        hidden_size=128,
        num_hidden_layers=2,
        num_attention_heads=4,
        intermediate_size=512,
        max_position_embeddings=512,
        dropout=0.1,
        num_labels=2,
        **kwargs
    ):
        super().__init__(**kwargs)
        self.vocab_size = vocab_size
        self.hidden_size = hidden_size
        self.num_hidden_layers = num_hidden_layers
        self.num_attention_heads = num_attention_heads
        self.intermediate_size = intermediate_size
        self.max_position_embeddings = max_position_embeddings
        self.dropout = dropout
        self.num_labels = num_labels