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bert-case-diario-uniao-classification
begnini/bert-case-diario-uniao-classification
bert-case-diario-uniao-classification is a text classification model from begnini. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Jan 10, 2024
- Updated
- Jan 14, 2024
- SHA
- 6286c716
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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. -->
bert-case-diario-uniao-classification
This model is a fine-tuned version of pierreguillou/bert-base-cased-pt-lenerbr on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0396
- Accuracy: 0.9960
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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1548 | 1.0 | 1563 | 0.0554 | 0.9936 |
| 0.029 | 2.0 | 3126 | 0.0438 | 0.9952 |
| 0.0084 | 3.0 | 4689 | 0.0396 | 0.9960 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Jan 10, 2024
- Updated
- Jan 14, 2024