| deterministic: False | |
| activations: Tanh | |
| batch_size: 2 | |
| class_identifier: regression_metric_multi_ref | |
| dropout: 0.5 | |
| encoder_learning_rate: 1.0e-05 | |
| encoder_model: RoBERTa | |
| final_activation: null | |
| hidden_sizes: | |
| - 384 | |
| keep_embeddings_frozen: true | |
| layer: mix | |
| layerwise_decay: 0.95 | |
| learning_rate: 3.1e-05 | |
| load_weights_from_checkpoint: null | |
| nr_frozen_epochs: 0.3 | |
| optimizer: AdamW | |
| pool: avg | |
| pretrained_model: roberta-large | |
| topk: 3 | |
| train_data: /srv/share5/mmaddela3/metrics_project/adaptive_metrics/data/simplification/annotations_24_systems/dataset/train_grouped_refs.csv | |
| validation_data: /srv/share5/mmaddela3/metrics_project/adaptive_metrics/data/simplification/annotations_24_systems/dataset/valid_grouped_refs.csv | |