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deberta-v3-large-AVeriTeC-nli
ctu-aic/deberta-v3-large-AVeriTeC-nli
deberta-v3-large-AVeriTeC-nli is a text classification model from ctu-aic. 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.
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
- Aug 9, 2024
- Updated
- Aug 9, 2024
- SHA
- c8c6562c
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Base models
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
deberta-v3-large-AVeriTeC-nli
This model was finetuned from microsoft/deberta-v3-large on an AVeriTec dataset. It achieves the following results on the evaluation set:
Intended uses & limitations
This model is intended for usage in a pipeline for open-domain fact-checking task.
Training and evaluation data
See chenxwh/AVeriTeC
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- optimizer: adamw_torch
- training_precision: float16
- learning_rate: 1e-5
- per_device_train_batch_size: 32
- num_train_epochs: 10
- weight_decay: 0.01
- load_best_model_at_end: True #early stopping!
- warmup_ratio: 0.06
Training results
Framework versions
- Transformers 4.43.0
- TensorFlow 2.17.0
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Languages
- en
- Created
- Aug 9, 2024
- Updated
- Aug 9, 2024