DistilBERTHateSpeechClassification
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6979
- Accuracy: 0.8330
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: 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 |
|---|---|---|---|---|
| 0.5137 | 1.0 | 569 | 0.4038 | 0.8176 |
| 0.3544 | 2.0 | 1138 | 0.3748 | 0.8429 |
| 0.2643 | 3.0 | 1707 | 0.4371 | 0.8527 |
| 0.2035 | 4.0 | 2276 | 0.5395 | 0.8286 |
| 0.1446 | 5.0 | 2845 | 0.6979 | 0.8330 |
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/DistilBERTHateSpeechClassification
Base model
distilbert/distilbert-base-uncased