Downloads · 30 days
3
13% of all-time downloads
BERTscenario2-news-classifier
AbrarAbhinaya/BERTscenario2-news-classifier
BERTscenario2-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. --
All-time downloads
23
Public
Parameters
110M
1.8 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors438 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Oct 9, 2025
- Updated
- Oct 9, 2025
- SHA
- 836ae006
Try a prompt
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. -->
BERTscenario2-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: 1.2943
- Accuracy: 0.6788
- Precision: 0.7089
- Recall: 0.6788
- F1: 0.6870
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- 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: linear
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 1.7772 | 1.0 | 10477 | 1.2655 | 0.6045 | 0.6871 | 0.6045 | 0.6219 |
| 1.0559 | 2.0 | 20954 | 1.2023 | 0.6534 | 0.6990 | 0.6534 | 0.6619 |
| 0.7614 | 3.0 | 31431 | 1.2322 | 0.6688 | 0.7114 | 0.6688 | 0.6789 |
| 0.5565 | 4.0 | 41908 | 1.2943 | 0.6788 | 0.7089 | 0.6788 | 0.6870 |
Framework versions
- Transformers 4.56.2
- 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 9, 2025
- Updated
- Oct 9, 2025