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distilbert-base-uncased__hate_speech_offensive__train-8-6
SetFit/distilbert-base-uncased__hate_speech_offensive__train-8-6
distilbert-base-uncased__hate_speech_offensive__train-8-6 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
- c0d9507d
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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-8-6
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: 1.1275
- Accuracy: 0.3795
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 |
|---|---|---|---|---|
| 1.11 | 1.0 | 5 | 1.1184 | 0.0 |
| 1.0608 | 2.0 | 10 | 1.1227 | 0.0 |
| 1.0484 | 3.0 | 15 | 1.1009 | 0.2 |
| 0.9614 | 4.0 | 20 | 1.1009 | 0.2 |
| 0.8545 | 5.0 | 25 | 1.0772 | 0.2 |
| 0.8241 | 6.0 | 30 | 1.0457 | 0.2 |
| 0.708 | 7.0 | 35 | 1.0301 | 0.4 |
| 0.5045 | 8.0 | 40 | 1.0325 | 0.4 |
| 0.4175 | 9.0 | 45 | 1.0051 | 0.4 |
| 0.3446 | 10.0 | 50 | 0.9610 | 0.4 |
| 0.2851 | 11.0 | 55 | 0.9954 | 0.4 |
| 0.1808 | 12.0 | 60 | 1.0561 | 0.4 |
| 0.1435 | 13.0 | 65 | 1.0218 | 0.4 |
| 0.1019 | 14.0 | 70 | 1.0254 | 0.4 |
| 0.0908 | 15.0 | 75 | 0.9935 | 0.4 |
| 0.0591 | 16.0 | 80 | 1.0090 | 0.4 |
| 0.0512 | 17.0 | 85 | 1.0884 | 0.4 |
| 0.0397 | 18.0 | 90 | 1.2732 | 0.4 |
| 0.039 | 19.0 | 95 | 1.2979 | 0.6 |
| 0.0325 | 20.0 | 100 | 1.2705 | 0.4 |
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