src/transformers/models/trajectory_transformer/configuration_trajectory_transformer.py/TrajectoryTransformerConfig/__init__
class TrajectoryTransformerConfig:    def __init__(
        self,
        vocab_size=100,
        action_weight=5,
        reward_weight=1,
        value_weight=1,
        block_size=249,
        action_dim=6,
        observation_dim=17,
        transition_dim=25,
        n_layer=4,
        n_head=4,
        n_embd=128,
        embd_pdrop=0.1,
        attn_pdrop=0.1,
        resid_pdrop=0.1,
        learning_rate=0.0006,
        max_position_embeddings=512,
        initializer_range=0.02,
        layer_norm_eps=1e-12,
        kaiming_initializer_range=1,
        use_cache=True,
        pad_token_id=1,
        bos_token_id=50256,
        eos_token_id=50256,
        **kwargs,
    ):
        self.vocab_size = vocab_size
        self.action_weight = action_weight
        self.reward_weight = reward_weight
        self.value_weight = value_weight
        self.max_position_embeddings = max_position_embeddings
        self.block_size = block_size
        self.action_dim = action_dim
        self.observation_dim = observation_dim
        self.transition_dim = transition_dim
        self.learning_rate = learning_rate
        self.n_layer = n_layer
        self.n_head = n_head
        self.n_embd = n_embd
        self.embd_pdrop = embd_pdrop
        self.attn_pdrop = attn_pdrop
        self.resid_pdrop = resid_pdrop
        self.initializer_range = initializer_range
        self.layer_norm_eps = layer_norm_eps
        self.kaiming_initializer_range = kaiming_initializer_range
        self.use_cache = use_cache
        super().__init__(pad_token_id=pad_token_id, bos_token_id=bos_token_id, eos_token_id=eos_token_id, **kwargs)