[pretraining]
max_epochs = 1000
min_length = 5
max_length = 500
dropout = 0.2
n_save_every = null
batch_size = 3000
seed = ${system.seed}
use_pytorch_for_gpu_memory = ${system.use_pytorch_for_gpu_memory}
tok2vec_model = "components.tok2vec.model"

[pretraining.objective]
type = "characters"
n_characters = 4

[pretraining.optimizer]
@optimizers = "Adam.v1"
beta1 = 0.9
beta2 = 0.999
L2_is_weight_decay = true
L2 = 0.01
grad_clip = 1.0
use_averages = true
eps = 1e-8
learn_rate = 0.001

[pretraining]
max_epochs = 1000
dropout = 0.2
n_save_every = null
component = "tok2vec"
layer = ""

[pretraining.batcher]
@batchers = "spacy.batch_by_words.v1"
size = 3000
discard_oversize = false
tolerance = 0.2
get_length = null

[pretraining.corpus]
@readers = "spacy.JsonlReader.v1"
path = ${paths.raw}
min_length = 5
max_length = 500
limit = 0

[pretraining.objective]
type = "characters"
n_characters = 4

[pretraining.optimizer]
@optimizers = "Adam.v1"
beta1 = 0.9
beta2 = 0.999
L2_is_weight_decay = true
L2 = 0.01
grad_clip = 1.0
use_averages = true
eps = 1e-8
learn_rate = 0.001

Update default pretraining config
Update default pretraining config [ci skip]
