t5-small-nl24-finnish / small_nl24.gin
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Saving weights and logs of step 20000
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# T5.1.1 Efficient small nl24 model.
import seqio
include 't5x/examples/t5/t5_1_1/base.gin' # imports vocab, optimizer and model.
# ------------------- Network specification overrides --------------------------
network.Transformer.config = @network.T5Config()
network.T5Config:
emb_dim = 512
num_heads = 8
num_encoder_layers = 24
num_decoder_layers = 24
head_dim = 64
mlp_dim = 2048
# ------------------- Model specification overrides --------------------------
VOCABULARY = @seqio.SentencePieceVocabulary()
seqio.SentencePieceVocabulary.sentencepiece_model_file = "spiece.model"
MODEL = @models.EncoderDecoderModel()
models.EncoderDecoderModel:
input_vocabulary = %VOCABULARY
output_vocabulary = %VOCABULARY