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BERTscenario6-news-classifier
AbrarAbhinaya/BERTscenario6-news-classifier
BERTscenario6-news-classifier is a text classification model from AbrarAbhinaya. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Nov 16, 2025
- Updated
- Nov 16, 2025
- SHA
- 518f8cab
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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. -->
BERTscenario6-news-classifier
This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.2415
- Accuracy: 0.6638
- Precision: 0.7078
- Recall: 0.6638
- F1: 0.6739
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 6
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 3.2175 | 1.0 | 10452 | 2.4739 | 0.5892 | 0.6472 | 0.5892 | 0.6021 |
| 2.4189 | 2.0 | 20904 | 2.3002 | 0.6298 | 0.6850 | 0.6298 | 0.6403 |
| 2.2125 | 3.0 | 31356 | 2.2518 | 0.6496 | 0.6975 | 0.6496 | 0.6599 |
| 2.0791 | 4.0 | 41808 | 2.2414 | 0.6524 | 0.7048 | 0.6524 | 0.6645 |
| 1.9806 | 5.0 | 52260 | 2.2390 | 0.6625 | 0.7080 | 0.6625 | 0.6730 |
| 1.9263 | 6.0 | 62712 | 2.2415 | 0.6638 | 0.7078 | 0.6638 | 0.6739 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Nov 16, 2025
- Updated
- Nov 16, 2025