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fine-tune-mbert-sem-exist
nouman-10/fine-tune-mbert-sem-exist
fine-tune-mbert-sem-exist is a text classification model from nouman-10. 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
- Mar 14, 2023
- Updated
- Mar 14, 2023
- SHA
- abfb5ccd
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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. -->
fine-tune-mbert-sem-exist
This model is a fine-tuned version of bert-base-multilingual-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3595
- Accuracy: 0.7238
- F1: 0.7022
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 | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.4208 | 1.0 | 1194 | 0.6706 | 0.6512 | 0.5652 |
| 0.3475 | 2.0 | 2388 | 0.8495 | 0.6483 | 0.5694 |
| 0.2539 | 3.0 | 3582 | 0.7866 | 0.7267 | 0.7062 |
| 0.1886 | 4.0 | 4776 | 1.0998 | 0.7180 | 0.6978 |
| 0.1372 | 5.0 | 5970 | 1.3595 | 0.7238 | 0.7022 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Mar 14, 2023
- Updated
- Mar 14, 2023