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robertaScenario4-news-classifier
AbrarAbhinaya/robertaScenario4-news-classifier
robertaScenario4-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 mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Nov 4, 2025
- Updated
- Nov 6, 2025
- SHA
- 1bf020ba
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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. -->
robertaScenario4-news-classifier
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.2141
- Accuracy: 0.6577
- Precision: 0.7091
- Recall: 0.6577
- F1: 0.6694
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 |
|---|---|---|---|---|---|---|---|
| 3.2714 | 1.0 | 10477 | 2.4715 | 0.5851 | 0.6527 | 0.5851 | 0.5987 |
| 2.5089 | 2.0 | 20954 | 2.3229 | 0.6297 | 0.6851 | 0.6297 | 0.6408 |
| 2.3583 | 3.0 | 31431 | 2.2694 | 0.6301 | 0.7015 | 0.6301 | 0.6446 |
| 2.2752 | 4.0 | 41908 | 2.2308 | 0.6520 | 0.7036 | 0.6520 | 0.6636 |
| 2.2162 | 5.0 | 52385 | 2.2140 | 0.6579 | 0.7080 | 0.6579 | 0.6696 |
| 2.1806 | 6.0 | 62862 | 2.2141 | 0.6577 | 0.7091 | 0.6577 | 0.6694 |
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
- roberta
- License
- mit
- Created
- Nov 4, 2025
- Updated
- Nov 6, 2025