cs43574a1_class_model
This model is a fine-tuned version of distilbert-base-uncased on the UTD CS 4375 Hate Speech dataset. It achieves the following results on the evaluation set:
- Loss: 0.3862
- Accuracy: 0.8502
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: 16
- eval_batch_size: 16
- 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 |
|---|---|---|---|---|
| No log | 1.0 | 93 | 0.4576 | 0.7857 |
| No log | 2.0 | 186 | 0.3916 | 0.8400 |
| No log | 3.0 | 279 | 0.3862 | 0.8502 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3