metadata

library_name: transformers
license: mit
base_model: microsoft/deberta-v3-base
tags:
  - generated_from_trainer
model-index:
  - name: deberta-semeval25task10-aya2en
    results: []
language:
  - en

deberta-semeval25-fulltrain-translateen

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 Aya Expanse 8B 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 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