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impact-cat-secbert
conflick0/impact-cat-secbert
impact-cat-secbert is a text classification model from conflick0. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as bigscience-openrail-m.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- bigscience-openrail-m
- Model type
- roberta
- Access
- Public
- Created
- Apr 5, 2024
- Updated
- Apr 15, 2024
- SHA
- 20fc1f45
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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. -->
impact-cat-secbert
This model is a fine-tuned version of ehsanaghaei/SecureBERT on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1585
- Accuracy: 0.9434
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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 128 | 0.2407 | 0.9023 |
| No log | 2.0 | 256 | 0.1664 | 0.9258 |
| No log | 3.0 | 384 | 0.1614 | 0.9434 |
| 0.423 | 4.0 | 512 | 0.1585 | 0.9434 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- bigscience-openrail-m
- Created
- Apr 5, 2024
- Updated
- Apr 15, 2024