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roberta-base-finetuned-hate_speech-best
Doowon96/roberta-base-finetuned-hate_speech-best
roberta-base-finetuned-hate_speech-best is a text classification model from Doowon96. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Feb 19, 2024
- Updated
- Feb 19, 2024
- SHA
- 65654632
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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. -->
roberta-base-finetuned-hate_speech-best
This model is a fine-tuned version of klue/roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9992
- F1: 0.6290
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: 2.237588569580688e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 39
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.903 | 1.0 | 691 | 0.7957 | 0.6028 |
| 0.7236 | 2.0 | 1382 | 0.7965 | 0.6316 |
| 0.4621 | 3.0 | 2073 | 0.9992 | 0.6290 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- Feb 19, 2024
- Updated
- Feb 19, 2024