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patent-classification-gpu
zgurney/patent-classification-gpu
patent-classification-gpu is a text classification model from zgurney. 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
- distilbert
- Access
- Public
- Created
- Apr 10, 2024
- Updated
- Jan 16, 2025
- SHA
- ca40ee33
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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. -->
patent-classification-gpu
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4168
- Accuracy: 0.5800
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: 2e-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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.5695 | 1.0 | 2384 | 1.4698 | 0.5400 |
| 1.2985 | 2.0 | 4768 | 1.3742 | 0.5705 |
| 1.117 | 3.0 | 7152 | 1.3588 | 0.5792 |
| 0.924 | 4.0 | 9536 | 1.3985 | 0.5816 |
| 0.7839 | 5.0 | 11920 | 1.4168 | 0.5800 |
Framework versions
- Transformers 4.48.0
- Pytorch 2.2.2
- Datasets 3.2.0
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Apr 10, 2024
- Updated
- Jan 16, 2025