| 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 |
|
|
