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results
lggradosm/results
results is a text classification model from lggradosm. 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
- Sep 29, 2025
- Updated
- Sep 29, 2025
- SHA
- f5057b7d
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. -->
results
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0645
- Accuracy: 0.9910
- Precision: 0.9675
- Recall: 0.9675
- F1: 0.9675
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.1213 | 1.0 | 558 | 0.0576 | 0.9874 | 0.9795 | 0.9286 | 0.9533 |
| 0.0012 | 2.0 | 1116 | 0.0586 | 0.9910 | 0.9865 | 0.9481 | 0.9669 |
| 0.0001 | 3.0 | 1674 | 0.0645 | 0.9910 | 0.9675 | 0.9675 | 0.9675 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.8.0+cu126
- Datasets 3.5.0
- Tokenizers 0.21.4
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Sep 29, 2025
- Updated
- Sep 29, 2025