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BERTscenario4-news-classifier
AbrarAbhinaya/BERTscenario4-news-classifier
BERTscenario4-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
- Oct 24, 2025
- Updated
- Oct 25, 2025
- SHA
- 83c68b79
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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. -->
BERTscenario4-news-classifier
This model is a fine-tuned version of bert-large-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.7318
- Accuracy: 0.7101
- Precision: 0.7156
- Recall: 0.7101
- F1: 0.7118
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: 1.5e-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 |
|---|---|---|---|---|---|---|---|
| 2.1051 | 1.0 | 10477 | 1.3030 | 0.6090 | 0.6822 | 0.6090 | 0.6244 |
| 1.1651 | 2.0 | 20954 | 1.1967 | 0.6498 | 0.6994 | 0.6498 | 0.6562 |
| 0.7921 | 3.0 | 31431 | 1.2176 | 0.6773 | 0.7160 | 0.6773 | 0.6870 |
| 0.4773 | 4.0 | 41908 | 1.3870 | 0.7009 | 0.7192 | 0.7009 | 0.7052 |
| 0.2639 | 5.0 | 52385 | 1.6282 | 0.7073 | 0.7166 | 0.7073 | 0.7102 |
| 0.1675 | 6.0 | 62862 | 1.7318 | 0.7101 | 0.7156 | 0.7101 | 0.7118 |
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
- Oct 24, 2025
- Updated
- Oct 25, 2025