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email-classifier-soft
davidshelton/email-classifier-soft
email-classifier-soft is a text classification model from davidshelton. 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
- Sep 1, 2025
- Updated
- Sep 30, 2025
- SHA
- 72bd53bb
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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. -->
email-classifier-soft
This model is a fine-tuned version of adalbertojunior/distilbert-portuguese-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3234
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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 66 | 0.2822 |
| No log | 2.0 | 132 | 0.2813 |
| No log | 3.0 | 198 | 0.3198 |
| No log | 4.0 | 264 | 0.3234 |
Framework versions
- Transformers 4.56.0
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Sep 1, 2025
- Updated
- Sep 30, 2025