transformer_lm.yaml

# @package _group_
activation_fn: "relu"
dropout: 0.1
attention_dropout: 0.0
activation_dropout: 0.0
relu_dropout: 0.0
decoder_embed_dim: 512
decoder_output_dim: 512
decoder_input_dim: 512
decoder_ffn_embed_dim: 2048
decoder_layers: 6
decoder_attention_heads: 8
decoder_normalize_before: true
no_decoder_final_norm: false
adaptive_softmax_cutoff: null
adaptive_softmax_dropout: 0
adaptive_softmax_factor: 4
no_token_positional_embeddings: false
share_decoder_input_output_embed: false
character_embeddings: false
character_filters: "[(1, 64), (2, 128), (3, 192), (4, 256), (5, 256), (6, 256), (7, 256)]"
character_embedding_dim: 4
char_embedder_highway_layers: 2
adaptive_input: false
adaptive_input_factor: 4
adaptive_input_cutoff: null
tie_adaptive_weights: false
tie_adaptive_proj: false
decoder_learned_pos: false
decoder_layerdrop: 0
decoder_layers_to_keep: null
layernorm_embedding: false
no_scale_embedding: false
quant_noise_pq: 0
quant_noise_pq_block_size: 8
quant_noise_scalar: 0