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Greg-DistilBert-classifier
gArthur98/Greg-DistilBert-classifier
Greg-DistilBert-classifier is a text classification model from gArthur98. 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
- Jul 29, 2023
- Updated
- Jul 29, 2023
- SHA
- 31c2b601
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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. -->
Greg-DistilBert-classifier
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7835
- F1: 0.7175
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.8486 | 0.5 | 500 | 0.9540 | 0.6137 |
| 0.7857 | 1.0 | 1000 | 0.7877 | 0.6671 |
| 0.7039 | 1.5 | 1500 | 0.7438 | 0.7035 |
| 0.6526 | 2.01 | 2000 | 0.7396 | 0.7107 |
| 0.5131 | 2.51 | 2500 | 0.7835 | 0.7175 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.1
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jul 29, 2023
- Updated
- Jul 29, 2023