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deberta-large-finetuned-qqp
Tomor0720/deberta-large-finetuned-qqp
deberta-large-finetuned-qqp is a text classification model from Tomor0720. 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
- Access
- Public
- Created
- Jan 18, 2023
- Updated
- Jan 18, 2023
- SHA
- 507f2f8b
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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. -->
deberta-large-finetuned-qqp
This model is a fine-tuned version of microsoft/deberta-large on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 0.2635
- Accuracy: 0.8986
- F1: 0.8648
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.4058 | 1.0 | 22741 | 0.3923 | 0.8496 | 0.8108 |
| 0.2347 | 2.0 | 45482 | 0.2635 | 0.8986 | 0.8648 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.1+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- deberta
- License
- mit
- Created
- Jan 18, 2023
- Updated
- Jan 18, 2023