<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
distilbert-base-multilingual-cased-misogyny-sexism-decay0.05-fr-outofdomain
This model is a fine-tuned version of distilbert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9920
- Accuracy: 0.2851
- F1: 0.1967
- Precision: 0.1124
- Recall: 0.7870
- Mae: 0.7149
- Tn: 1727
- Fp: 6043
- Fn: 207
- Tp: 765
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | Mae | Tn | Fp | Fn | Tp |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.3603 | 1.0 | 2233 | 0.8218 | 0.3251 | 0.2021 | 0.1163 | 0.7685 | 0.6749 | 2095 | 5675 | 225 | 747 |
| 0.298 | 2.0 | 4466 | 0.9031 | 0.3164 | 0.2047 | 0.1175 | 0.7912 | 0.6836 | 1997 | 5773 | 203 | 769 |
| 0.2438 | 3.0 | 6699 | 0.9920 | 0.2851 | 0.1967 | 0.1124 | 0.7870 | 0.7149 | 1727 | 6043 | 207 | 765 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.12.0+cu102
- Datasets 2.3.2
- Tokenizers 0.12.1
