---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: distilbert-base-multilingual-cased-misogyny-sexism-decay0.05-fr-outofdomain
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbert-base-multilingual-cased-misogyny-sexism-decay0.05-fr-outofdomain

This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/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