distilbert-guest-misoginia
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6128
- Accuracy: 0.9017
- F1: 0.5380
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 OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 279 | 0.4861 | 0.8483 | 0.4299 |
| 0.5200 | 2.0 | 558 | 0.6128 | 0.9017 | 0.5380 |
| 0.5200 | 3.0 | 837 | 0.9633 | 0.9042 | 0.4901 |
Framework versions
- Transformers 5.21.0
- Pytorch 2.11.0+cu130
- Datasets 4.8.5
- Tokenizers 0.23.3