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distilroberta-hatespeech
valurank/distilroberta-hatespeech
distilroberta-hatespeech is a text classification model from valurank. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- other
- Model type
- roberta
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Jun 8, 2022
- SHA
- b15ea666
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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. -->
distilroberta-hatespeech
This model is a fine-tuned version of distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3619
- Acc: 0.8423
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: 32
- eval_batch_size: 32
- seed: 12345
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 16
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Acc |
|---|---|---|---|---|
| 0.3096 | 1.0 | 4021 | 0.3375 | 0.8540 |
| 0.3711 | 2.0 | 8042 | 0.3305 | 0.8574 |
| 0.322 | 3.0 | 12063 | 0.3398 | 0.8534 |
| 0.3197 | 4.0 | 16084 | 0.3444 | 0.8504 |
| 0.3332 | 5.0 | 20105 | 0.3619 | 0.8423 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.1
- Datasets 1.17.0
- Tokenizers 0.10.3
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- other
- Created
- Mar 2, 2022
- Updated
- Jun 8, 2022