BigBirdHateSpeechClassification
This model is a fine-tuned version of google/bigbird-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7086
- Accuracy: 0.8055
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5447 | 1.0 | 1137 | 0.5022 | 0.7879 |
| 0.4304 | 2.0 | 2274 | 0.4451 | 0.7934 |
| 0.3615 | 3.0 | 3411 | 0.5008 | 0.8143 |
| 0.3192 | 4.0 | 4548 | 0.6437 | 0.8077 |
| 0.2483 | 5.0 | 5685 | 0.7086 | 0.8055 |
Framework versions
- Transformers 4.48.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for poooj/BigBirdHateSpeechClassification
Base model
google/bigbird-roberta-base