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roberta-base_wifi
JBhug/roberta-base_wifi
roberta-base_wifi is a text classification model from JBhug. 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
- May 8, 2024
- Updated
- May 8, 2024
- SHA
- 927ddeb9
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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. -->
roberta-base_wifi
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3180
- Accuracy: 0.9429
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: 32
- eval_batch_size: 32
- seed: 27
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.494 | 1.67 | 10 | 0.3959 | 0.8286 |
| 0.1178 | 3.33 | 20 | 0.0705 | 0.9714 |
| 0.0033 | 5.0 | 30 | 0.2025 | 0.9429 |
| 0.0009 | 6.67 | 40 | 0.2312 | 0.9714 |
| 0.0003 | 8.33 | 50 | 0.2707 | 0.9429 |
| 0.0003 | 10.0 | 60 | 0.3006 | 0.9429 |
| 0.0002 | 11.67 | 70 | 0.3127 | 0.9429 |
| 0.0002 | 13.33 | 80 | 0.3170 | 0.9429 |
| 0.0002 | 15.0 | 90 | 0.3180 | 0.9429 |
Framework versions
- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- May 8, 2024
- Updated
- May 8, 2024