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distilbertScenario1-news-classifier
AbrarAbhinaya/distilbertScenario1-news-classifier
distilbertScenario1-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
- distilbert
- Access
- Public
- Created
- Oct 16, 2025
- Updated
- Oct 16, 2025
- SHA
- 09996945
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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. -->
distilbertScenario1-news-classifier
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3020
- Accuracy: 0.6644
- Precision: 0.7008
- Recall: 0.6644
- F1: 0.6737
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: 0.1
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 1.8152 | 1.0 | 10477 | 1.2935 | 0.6033 | 0.6847 | 0.6033 | 0.6201 |
| 1.0459 | 2.0 | 20954 | 1.2283 | 0.6484 | 0.6971 | 0.6484 | 0.6585 |
| 0.7095 | 3.0 | 31431 | 1.3020 | 0.6644 | 0.7008 | 0.6644 | 0.6737 |
Framework versions
- Transformers 4.57.0
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Oct 16, 2025
- Updated
- Oct 16, 2025