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results
kaizoku56/results
results is a text classification model from kaizoku56. 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
- May 3, 2024
- Updated
- May 3, 2024
- SHA
- 9a36d3df
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: 0.1065
- Accuracy: 0.9764
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: 64
- eval_batch_size: 40
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1363 | 0.4 | 500 | 0.0833 | 0.9706 |
| 0.0839 | 0.8 | 1000 | 0.0788 | 0.9725 |
| 0.0608 | 1.19 | 1500 | 0.1042 | 0.9750 |
| 0.0449 | 1.59 | 2000 | 0.0826 | 0.9751 |
| 0.0436 | 1.99 | 2500 | 0.0760 | 0.9765 |
| 0.0187 | 2.39 | 3000 | 0.1041 | 0.9765 |
| 0.0156 | 2.78 | 3500 | 0.1065 | 0.9764 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- May 3, 2024
- Updated
- May 3, 2024