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ModernBERT_qnli
Jsevisal/ModernBERT_qnli
ModernBERT_qnli is a text classification model from Jsevisal. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- modernbert
- Access
- Public
- Created
- Jan 23, 2025
- Updated
- Jan 23, 2025
- SHA
- 600d03ea
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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 the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
ModernBERT_qnli
This model is a fine-tuned version of answerdotai/ModernBERT-base on GLUE/QNLI dataset. It achieves the following results on the evaluation set:
- Loss: 0.2094
- Accuracy Score: 0.9325
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 8e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.98) and epsilon=1e-06 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy Score |
|---|---|---|---|---|
| 0.2794 | 1.0 | 3274 | 0.1853 | 0.9268 |
| 0.1024 | 2.0 | 6548 | 0.2094 | 0.9325 |
Framework versions
- Transformers 4.49.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- modernbert
- License
- apache-2.0
- Languages
- en
- Created
- Jan 23, 2025
- Updated
- Jan 23, 2025