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results
DARedmond/results
results is a text classification model from DARedmond. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Mar 13, 2025
- Updated
- Mar 13, 2025
- SHA
- c352e63f
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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. -->
results
This model is a fine-tuned version of mrm8488/bert-tiny-finetuned-sms-spam-detection on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0884
- Accuracy: 0.5480
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use 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 |
|---|---|---|---|---|
| 1.1383 | 1.0 | 42 | 1.1377 | 0.5367 |
| 1.0594 | 2.0 | 84 | 1.0975 | 0.5424 |
| 1.0472 | 3.0 | 126 | 1.0884 | 0.5480 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cpu
- Datasets 3.3.2
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Mar 13, 2025
- Updated
- Mar 13, 2025