g-assismoraes/deberta-semeval25task10-gpt2en

deberta-semeval25-fulltrain-translateen-gpt

This model is a fine-tuned version of microsoft/deberta-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, with article texts translated into English by the GPT-4o-mini model.

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 4.48.1
• Pytorch 2.5.1+cu121
• Datasets 3.2.0
• Tokenizers 0.21.0