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activations: Tanh
batch_size: 8
class_identifier: referenceless_regression_metric
dropout: 0.1
encoder_learning_rate: 1.0e-06
encoder_model: XLM-RoBERTa
final_activation: null
hidden_sizes:
- 2048
- 1024
keep_embeddings_frozen: true
layer: mix
layer_norm: false
layer_transformation: sparsemax
layerwise_decay: 0.95
learning_rate: 1.5e-05
load_pretrained_weights: true
loss: mse
nr_frozen_epochs: 0.3
optimizer: AdamW
pool: avg
pretrained_model: xlm-roberta-large
train_data:
- /content/drive/MyDrive/WMT QE Shared Task 2023/data/train.enmr.augmented.0.csv
validation_data:
- /content/drive/MyDrive/WMT QE Shared Task 2023/data/dev.enmr.df.short.new.csv
warmup_steps: 0
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