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distilbert-base-uncased__hate_speech_offensive__train-16-7
SetFit/distilbert-base-uncased__hate_speech_offensive__train-16-7
distilbert-base-uncased__hate_speech_offensive__train-16-7 is a text classification model from SetFit. 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
- Mar 2, 2022
- Updated
- Feb 10, 2022
- SHA
- 871f4119
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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. -->
distilbert-base-uncased__hate_speech_offensive__train-16-7
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9011
- Accuracy: 0.578
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.0968 | 1.0 | 10 | 1.1309 | 0.0 |
| 1.0709 | 2.0 | 20 | 1.1237 | 0.1 |
| 0.9929 | 3.0 | 30 | 1.1254 | 0.1 |
| 0.878 | 4.0 | 40 | 1.1206 | 0.5 |
| 0.7409 | 5.0 | 50 | 1.0831 | 0.1 |
| 0.5663 | 6.0 | 60 | 0.9830 | 0.6 |
| 0.4105 | 7.0 | 70 | 0.9919 | 0.5 |
| 0.2912 | 8.0 | 80 | 1.0472 | 0.6 |
| 0.1013 | 9.0 | 90 | 1.1617 | 0.4 |
| 0.0611 | 10.0 | 100 | 1.2789 | 0.6 |
| 0.039 | 11.0 | 110 | 1.4091 | 0.4 |
| 0.0272 | 12.0 | 120 | 1.4974 | 0.4 |
| 0.0189 | 13.0 | 130 | 1.4845 | 0.5 |
| 0.018 | 14.0 | 140 | 1.4924 | 0.5 |
| 0.0131 | 15.0 | 150 | 1.5206 | 0.6 |
| 0.0116 | 16.0 | 160 | 1.5858 | 0.5 |
Framework versions
- Transformers 4.15.0
- Pytorch 1.10.2+cu102
- Datasets 1.18.2
- Tokenizers 0.10.3
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Mar 2, 2022
- Updated
- Feb 10, 2022