Update config after mem fix. Gets to 89.7 NER F
# data is passed in sentence-by-sentence via some prior preprocessing.
gold_preproc = false
# Limitations on training document length or number of examples.
-max_length = 350
+max_length = 3000
limit = 0
# Data augmentation
orth_variant_level = 0.0
@@ -34,8 +34,8 @@ batch_by = "padded"
[training.batch_size]
@schedules = "compounding.v1"
-start = 800
-stop = 800
+start = 3000
+stop = 3000
compound = 1.001
[training.optimizer]
