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activations: Tanh
batch_size: 4
class_identifier: unified_metric
cross_entropy_weights: null
dropout: 0.1
encoder_learning_rate: 1.0e-06
encoder_model: XLM-RoBERTa
error_labels:
- minor
- major
final_activation: null
hidden_sizes:
- 3072
- 1024
input_segments:
- mt
- src
- ref
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
loss_lambda: 0.65
nr_frozen_epochs: 0.3
optimizer: AdamW
pool: avg
pretrained_model: xlm-roberta-large
sent_layer: mix
train_data:
- data/wmt-human-eval/metric_dataset.csv
validation_data: 0.1
warmup_steps: 0
word_layer: 24
word_level_training: false
min_zscore: -1.9820798505893629
max_zscore: 0.8901959611657179
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