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distilbert_pork_classifier
andikazf15/distilbert_pork_classifier
distilbert_pork_classifier is a text classification model from andikazf15. 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
- May 3, 2024
- Updated
- May 3, 2024
- SHA
- d8cf3695
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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. -->
distilbert_pork_classifier
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0066
- F1: 0.9667
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.0406 | 1.0 | 760 | 0.0126 | 0.8727 |
| 0.0083 | 2.0 | 1520 | 0.0061 | 0.9667 |
| 0.0017 | 3.0 | 2280 | 0.0061 | 0.9667 |
| 0.0005 | 4.0 | 3040 | 0.0064 | 0.9667 |
| 0.0001 | 5.0 | 3800 | 0.0066 | 0.9667 |
Framework versions
- Transformers 4.29.2
- Pytorch 1.13.1+cu116
- Datasets 2.19.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- May 3, 2024
- Updated
- May 3, 2024