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deberta-v3-base-finetuned-fever
learn3r/deberta-v3-base-finetuned-fever
deberta-v3-base-finetuned-fever is a text classification model from learn3r. 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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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-v3-base-finetuned-fever
This model is a fine-tuned version of microsoft/deberta-v3-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4079
- Accuracy: 0.933
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.15 | 1.0 | 5000 | 0.3810 | 0.922 |
| 0.1081 | 2.0 | 10000 | 0.3625 | 0.93 |
| 0.0529 | 3.0 | 15000 | 0.4607 | 0.9225 |
| 0.0503 | 4.0 | 20000 | 0.4079 | 0.933 |
| 0.0291 | 5.0 | 25000 | 0.5082 | 0.931 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Created
- Jul 8, 2023
- Updated
- Jul 22, 2023