| nr_frozen_epochs: 0.3 |
| keep_embeddings_frozen: true |
| optimizer: AdamW |
| warmup_steps: 0 |
| encoder_learning_rate: 1.0e-06 |
| learning_rate: 1.5e-05 |
| layerwise_decay: 0.95 |
| encoder_model: XLM-RoBERTa |
| pretrained_model: xlm-roberta-large |
| pool: avg |
| layer: mix |
| layer_transformation: sparsemax |
| layer_norm: false |
| loss: mse |
| dropout: 0.1 |
| batch_size: 16 |
| train_data: |
| - data/csv/train_diff.csv |
| validation_data: |
| - data/csv/dev_diff.csv |
| class_identifier: hypothesisless_regression_metric |
| load_pretrained_weights: true |
| local_files_only: false |
| hidden_sizes: |
| - 2048 |
| - 1024 |
| activations: Tanh |
| final_activation: null |
|
|