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deberta-v3-base-finetuned-sst2
vroomhf/deberta-v3-base-finetuned-sst2
deberta-v3-base-finetuned-sst2 is a text classification model from vroomhf. 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
- May 21, 2024
- Updated
- May 21, 2024
- SHA
- 297a5dfc
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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. -->
deberta-v3-base-finetuned-sst2
This model is a fine-tuned version of microsoft/deberta-v3-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1484
- Accuracy: 0.9599
- F1: 0.9599
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: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.1929 | 1.0 | 527 | 0.1523 | 0.9541 | 0.9541 |
| 0.1042 | 2.0 | 1054 | 0.1503 | 0.9541 | 0.9541 |
| 0.0786 | 3.0 | 1581 | 0.1484 | 0.9599 | 0.9599 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Created
- May 21, 2024
- Updated
- May 21, 2024