module_name: mbart
train_name: mbart
train_id: default
monitor: val/bleu
num_nodes: 1
data_root: null
cv_data_root: null
output_dir: null
ckpt_name: "checkpoint-{epoch:02d}-{val/bleu:.2f}"
use_deepspeed: false
learning_rate: 2.0e-05
weight_decay: 0.0
adam_epsilon: 1.0e-6
adam_betas: [0.9, 0.98]
warmup_steps: 2500
batch_size: 20
test_batch_size: 20
num_worker: 4
num_train_epochs: 5
gradient_accumulation_steps: 2
attention_dropout: 0.1
dropout: 0.3
label_smoothing: 0.0
test_only: true


language_list:
- french
- german
- spanish
- italian
- russian
- chinese
- portuguese
- persian
- estonian
- mongolian
- dutch
- turkish
- arabic
- swedish
- latvian
- tamil
- japanese
- indonesian
- slovenian
- welsh
- catalan


