mdeberta-domain-fulltrain
This model is a fine-tuned version of microsoft/mdeberta-v3-base on the "Semeval-2025 Task 10, Subtask 2" dataset.
Model description
This model was trained for multi-class classification among {Ukraine-Russia War, Climate Change, Other}, the text domains available in SemEval 2025 Task 10, Subtask 2.
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for g-assismoraes/mdeberta-semeval25task10-domain
Base model
microsoft/mdeberta-v3-base