metadata
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: xlm-roberta-base-misogyny-sexism-decay0.05-fr-indomain
results: []
xlm-roberta-base-misogyny-sexism-decay0.05-fr-indomain
This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2200
- Accuracy: 0.8708
- F1: 0.0040
- Precision: 0.1
- Recall: 0.0021
- Mae: 0.1292
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: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | Mae |
|---|---|---|---|---|---|---|---|---|
| 0.2085 | 1.0 | 2302 | 1.0000 | 0.8674 | 0.0212 | 0.1719 | 0.0113 | 0.1326 |
| 0.18 | 2.0 | 4604 | 1.0566 | 0.8527 | 0.0157 | 0.0520 | 0.0093 | 0.1473 |
| 0.1614 | 3.0 | 6906 | 1.1284 | 0.8673 | 0.0020 | 0.0222 | 0.0010 | 0.1327 |
| 0.1428 | 4.0 | 9208 | 1.1329 | 0.8714 | 0.0020 | 0.0714 | 0.0010 | 0.1286 |
| 0.1467 | 5.0 | 11510 | 1.1814 | 0.8708 | 0.0040 | 0.1 | 0.0021 | 0.1292 |
| 0.1375 | 6.0 | 13812 | 1.2020 | 0.8706 | 0.0020 | 0.05 | 0.0010 | 0.1294 |
| 0.1093 | 7.0 | 16114 | 1.2200 | 0.8708 | 0.0040 | 0.1 | 0.0021 | 0.1292 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.12.0+cu102
- Datasets 2.3.2
- Tokenizers 0.12.1