WMT 2022 best DA model

LICENSE

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hparams.yaml

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+activations: Tanh
+batch_size: 4
+class_identifier: regression_metric
+dropout: 0.1
+encoder_learning_rate: 1.0e-06
+encoder_model: XLM-RoBERTa
+final_activation: null
+hidden_sizes:
+- 3072
+- 1024
+keep_embeddings_frozen: true
+layer: mix
+layer_norm: false
+layer_transformation: sparsemax
+layerwise_decay: 0.95
+learning_rate: 1.5e-05
+loss: mse
+nr_frozen_epochs: 0.3
+optimizer: AdamW
+pool: avg
+pretrained_model: xlm-roberta-large
+train_data:
+- data/1720-da.csv
+validation_data:
+- data/wmt-ende-newstest2021.csv
+- data/wmt-enru-newstest2021.csv
+- data/wmt-zhen-newstest2021.csv

model.ckpt

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