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bertimbau_hate_speech
Nelci/bertimbau_hate_speech
bertimbau_hate_speech is a text classification model from Nelci. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Aug 14, 2023
- Updated
- Aug 17, 2023
- SHA
- fd9407a2
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Base models
Datasets
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. -->
bertimbau_hate_speech
This model is a fine-tuned version of neuralmind/bert-large-portuguese-cased on the hate_speech_portuguese dataset. It achieves the following results on the evaluation set:
- Loss: 0.5009
- Accuracy: 0.7814
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 302 | 0.4593 | 0.7756 |
| 0.4361 | 2.0 | 604 | 0.5009 | 0.7814 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.1.0.dev20230816+cu121
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Aug 14, 2023
- Updated
- Aug 17, 2023