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bert-offensive-finetuned
alexsd06/bert-offensive-finetuned
bert-offensive-finetuned is a text classification model from alexsd06. 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
- Jul 11, 2024
- Updated
- Jul 11, 2024
- SHA
- a894b087
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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-offensive-finetuned
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1249
- F1: 0.9628
- Roc Auc: 0.9628
- Accuracy: 0.9628
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: 30
- eval_batch_size: 30
- 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 | F1 | Roc Auc | Accuracy |
|---|---|---|---|---|---|---|
| No log | 1.0 | 250 | 0.1249 | 0.9628 | 0.9628 | 0.9628 |
| 0.1768 | 2.0 | 500 | 0.1323 | 0.9598 | 0.9598 | 0.9592 |
| 0.1768 | 3.0 | 750 | 0.1683 | 0.9628 | 0.9628 | 0.9628 |
| 0.0504 | 4.0 | 1000 | 0.2027 | 0.9544 | 0.9544 | 0.9544 |
| 0.0504 | 5.0 | 1250 | 0.2066 | 0.9568 | 0.9568 | 0.9568 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jul 11, 2024
- Updated
- Jul 11, 2024