Downloads · 30 days
12
2% of all-time downloads
distilbert-base-uncased__hate_speech_offensive__train-8-5
SetFit/distilbert-base-uncased__hate_speech_offensive__train-8-5
distilbert-base-uncased__hate_speech_offensive__train-8-5 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. --
All-time downloads
634
Public
Repo size
536 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin268 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Dec 20, 2023
- SHA
- 47a6a12e
Try a prompt
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. -->
distilbert-base-uncased__hate_speech_offensive__train-8-5
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: 1.7214
- Accuracy: 0.37
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 |
|---|---|---|---|---|
| 1.0995 | 1.0 | 5 | 1.1301 | 0.0 |
| 1.0227 | 2.0 | 10 | 1.1727 | 0.0 |
| 1.0337 | 3.0 | 15 | 1.1734 | 0.2 |
| 0.9137 | 4.0 | 20 | 1.1829 | 0.2 |
| 0.8065 | 5.0 | 25 | 1.1496 | 0.4 |
| 0.7038 | 6.0 | 30 | 1.1101 | 0.4 |
| 0.6246 | 7.0 | 35 | 1.0982 | 0.2 |
| 0.4481 | 8.0 | 40 | 1.0913 | 0.2 |
| 0.3696 | 9.0 | 45 | 1.0585 | 0.4 |
| 0.3137 | 10.0 | 50 | 1.0418 | 0.4 |
| 0.2482 | 11.0 | 55 | 1.0078 | 0.4 |
| 0.196 | 12.0 | 60 | 0.9887 | 0.6 |
| 0.1344 | 13.0 | 65 | 0.9719 | 0.6 |
| 0.1014 | 14.0 | 70 | 1.0053 | 0.6 |
| 0.111 | 15.0 | 75 | 0.9653 | 0.6 |
| 0.0643 | 16.0 | 80 | 0.9018 | 0.6 |
| 0.0559 | 17.0 | 85 | 0.9393 | 0.6 |
| 0.0412 | 18.0 | 90 | 1.0210 | 0.6 |
| 0.0465 | 19.0 | 95 | 0.9965 | 0.6 |
| 0.0328 | 20.0 | 100 | 0.9739 | 0.6 |
| 0.0289 | 21.0 | 105 | 0.9796 | 0.6 |
| 0.0271 | 22.0 | 110 | 0.9968 | 0.6 |
| 0.0239 | 23.0 | 115 | 1.0143 | 0.6 |
| 0.0201 | 24.0 | 120 | 1.0459 | 0.6 |
| 0.0185 | 25.0 | 125 | 1.0698 | 0.6 |
| 0.0183 | 26.0 | 130 | 1.0970 | 0.6 |
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
- Dec 20, 2023