distilbert-base-uncased-sexist-epoch2
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3185
- Accuracy: 0.8621
- F1: 0.8602
- Precision: 0.7545
- Recall: 0.6942
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.4341 | 1.0 | 197 | 0.3349 | 0.8629 | 0.8579 | 0.7898 | 0.6419 |
| 0.3014 | 2.0 | 394 | 0.3185 | 0.8621 | 0.8602 | 0.7545 | 0.6942 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
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