| # Training Seed 3 | |
| activations: Tanh | |
| batch_size: 2 | |
| class_identifier: referenceless_regression_metric | |
| dropout: 0.1 | |
| encoder_learning_rate: 1.0e-05 | |
| encoder_model: XLM-RoBERTa | |
| hidden_sizes: | |
| - 2048 | |
| - 1024 | |
| keep_embeddings_frozen: true | |
| layer: mix | |
| layerwise_decay: 0.95 | |
| learning_rate: 3.0e-05 | |
| load_weights_from_checkpoint: null | |
| optimizer: Adam | |
| pool: avg | |
| pretrained_model: xlm-roberta-large | |
| train_data: data/scores_1719.csv | |
| validation_data: data/scores_1719.csv | |
| final_activation: "Sigmoid" |