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BERT-racial_bias_model_80.0K_samples_fold_0
jamnik99/BERT-racial_bias_model_80.0K_samples_fold_0
BERT-racial_bias_model_80.0K_samples_fold_0 is a text classification model from jamnik99. 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
- distilbert
- Access
- Public
- Created
- Jun 10, 2024
- Updated
- Jun 10, 2024
- SHA
- 5f75ad1a
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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-racial_bias_model_80.0K_samples_fold_0
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4120
- Accuracy: 0.8581
- F1: 0.8589
- Precision: 0.8599
- Recall: 0.8581
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: 64
- eval_batch_size: 64
- 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 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.5892 | 1.0 | 834 | 0.4295 | 0.8155 | 0.8159 | 0.8166 | 0.8155 |
| 0.3645 | 2.0 | 1668 | 0.3795 | 0.8453 | 0.8452 | 0.8453 | 0.8453 |
| 0.2725 | 3.0 | 2502 | 0.3740 | 0.8563 | 0.8564 | 0.8566 | 0.8563 |
| 0.2123 | 4.0 | 3336 | 0.3810 | 0.8582 | 0.8587 | 0.8593 | 0.8582 |
| 0.176 | 5.0 | 4170 | 0.4120 | 0.8581 | 0.8589 | 0.8599 | 0.8581 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jun 10, 2024
- Updated
- Jun 10, 2024