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twitter-roberta-base-hate-finetuned
This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-hate on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6609
- Accuracy: 0.8037
- F1: 0.8484
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: 8
- eval_batch_size: 8
- seed: 42
- 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 | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.4525 | 1.0 | 1548 | 0.4952 | 0.7979 | 0.8492 |
| 0.3871 | 2.0 | 3096 | 0.4843 | 0.8142 | 0.8589 |
| 0.3461 | 3.0 | 4644 | 0.6609 | 0.8037 | 0.8484 |
Framework versions
- Transformers 4.16.2
- Pytorch 1.12.1+cu113
- Datasets 1.18.3
- Tokenizers 0.13.2
