g-assismoraes/mdeberta-semeval25task10

mdeberta-semeval25_maxf1_fold4

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-label classification in the "SemEval 2025 Task 10, Subtask 2" taxonomy using the dataset available for the task.

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 OptimizerNames.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

Framework versions

• Transformers 4.46.0
• Pytorch 2.3.1
• Datasets 2.21.0
• Tokenizers 0.20.1