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mdeberta-semeval25task10
g-assismoraes/mdeberta-semeval25task10
mdeberta-semeval25task10 is a text classification model from g-assismoraes. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- deberta-v2
- Access
- Public
- Created
- Oct 27, 2024
- Updated
- Feb 15, 2025
- SHA
- 7a97370c
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
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
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Languages
- en, hi, pt, ru, bg
- Created
- Oct 27, 2024
- Updated
- Feb 15, 2025