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results_combined
Piyawann/results_combined
results_combined is a text classification model from Piyawann. 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
- Feb 4, 2025
- Updated
- Mar 18, 2025
- SHA
- 5ee3f240
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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. -->
results_combined
This model is a fine-tuned version of ehsanaghaei/SecureBERT on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0460
- Accuracy: 0.9873
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0425 | 1.0 | 19166 | 0.0819 | 0.9839 |
| 0.0159 | 2.0 | 38332 | 0.0616 | 0.9858 |
| 0.0331 | 3.0 | 57498 | 0.0660 | 0.9846 |
| 0.067 | 4.0 | 76664 | 0.0495 | 0.9872 |
| 0.0065 | 5.0 | 95830 | 0.0460 | 0.9873 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.6.0+cpu
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- bigscience-openrail-m
- Created
- Feb 4, 2025
- Updated
- Mar 18, 2025