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product_classifier_split_url2
sianbru/product_classifier_split_url2
product_classifier_split_url2 is a text classification model from sianbru. 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
- Aug 29, 2023
- Updated
- Aug 29, 2023
- SHA
- 0986f054
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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. -->
product_classifier_split_url2
This model is a fine-tuned version of bert-base-multilingual-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1029
- Accuracy: 0.9803
- F1: 0.9803
- Precision: 0.9803
- Recall: 0.9803
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.3741 | 1.0 | 960 | 0.1110 | 0.9701 | 0.9700 | 0.9700 | 0.9701 |
| 0.0941 | 2.0 | 1920 | 0.1060 | 0.975 | 0.9751 | 0.9752 | 0.975 |
| 0.0584 | 3.0 | 2880 | 0.0963 | 0.9802 | 0.9802 | 0.9802 | 0.9802 |
| 0.0318 | 4.0 | 3840 | 0.1029 | 0.9803 | 0.9803 | 0.9803 | 0.9803 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Aug 29, 2023
- Updated
- Aug 29, 2023