metadata
library_name: transformers
license: mit
base_model: microsoft/mdeberta-v3-base
tags:
- generated_from_trainer
model-index:
- name: mdeberta-semeval25task10
results: []
language:
- en
- hi
- pt
- ru
- bg
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