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bert-base-casedepoch3_sexist_baseline_with_reddit_and_gab_equal
This model is a fine-tuned version of Wiebke/bert-base-casedepoch3_sexist_baseline on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4692
- Accuracy: 0.865
- F1: 0.8655
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.0428 | 0.31 | 500 | 0.5614 | 0.8393 | 0.8433 |
| 0.0377 | 0.61 | 1000 | 0.4765 | 0.8536 | 0.8558 |
| 0.0324 | 0.92 | 1500 | 0.4692 | 0.865 | 0.8655 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
