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BantuBERTa-vmw-noaug
Kuongan/BantuBERTa-vmw-noaug
BantuBERTa-vmw-noaug is a text classification model from Kuongan. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as cc-by-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- cc-by-4.0
- Model type
- roberta
- Access
- Public
- Created
- Feb 27, 2025
- Updated
- Feb 27, 2025
- SHA
- b176f9dc
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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. -->
BantuBERTa-vmw-noaug
This model is a fine-tuned version of dsfsi/BantuBERTa on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4098
- F1: 0.0
- Roc Auc: 0.4989
- Accuracy: 0.4574
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
|---|---|---|---|---|---|---|
| 0.586 | 1.0 | 49 | 0.4098 | 0.0 | 0.4989 | 0.4574 |
| 0.3154 | 2.0 | 98 | 0.2930 | 0.0 | 0.5 | 0.4612 |
| 0.2897 | 3.0 | 147 | 0.2906 | 0.0 | 0.5 | 0.4612 |
| 0.2895 | 4.0 | 196 | 0.2892 | 0.0 | 0.5 | 0.4612 |
| 0.285 | 5.0 | 245 | 0.2888 | 0.0 | 0.5 | 0.4612 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- cc-by-4.0
- Created
- Feb 27, 2025
- Updated
- Feb 27, 2025