harssment_classifier
This model is a fine-tuned version of abdulelahagr/harassment_lang_classifier on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0014
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: 5e-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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1539 | 1.0 | 33 | 0.0038 |
| 0.0338 | 2.0 | 66 | 0.1293 |
| 0.0371 | 3.0 | 99 | 0.0028 |
| 0.0372 | 4.0 | 132 | 0.0646 |
| 0.0245 | 5.0 | 165 | 0.0017 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
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Model tree for ZirconTech/harssment_classifier
Base model
google-bert/bert-base-uncased
Finetuned
abdulelahagr/harassment_lang_classifier