Cleanup configuration file
-# The directory where models and summaries will be saved.
-# It is created if it does not exist.
+# The directory where models and summaries will be saved. It is created if it does not exist.
model_dir: "ende"
data:
train_features_file: "data/ende/src-train.txt"
train_labels_file: "data/ende/tgt-train.txt"
- eval_features_file: "data/ende/src-val.txt.26"
- eval_labels_file: "data/ende/tgt-val.txt.26"
+ eval_features_file: "data/ende/src-val.txt"
+ eval_labels_file: "data/ende/tgt-val.txt"
# (optional) Models may require additional resource files (e.g. vocabularies).
source_words_vocabulary: "data/ende/src-vocab.txt"
@@ -42,7 +41,7 @@ params:
# (optional) Length penaly weight to apply on hypotheses (default: 0).
length_penalty: 0.2
# (optional) Maximum decoding iterations before stopping (default: 250).
- maximum_iterations: 10
+ maximum_iterations: 200
train:
batch_size: 64
