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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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- f1
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- precision
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- recall
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model-index:
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- name: distilbert-base-multilingual-cased-misogyny-sexism-decay0.05-fr-outofdomain
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# distilbert-base-multilingual-cased-misogyny-sexism-decay0.05-fr-outofdomain
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This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9920
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- Accuracy: 0.2851
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- F1: 0.1967
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- Precision: 0.1124
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- Recall: 0.7870
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- Mae: 0.7149
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- Tn: 1727
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- Fp: 6043
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- Fn: 207
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- Tp: 765
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | Mae | Tn | Fp | Fn | Tp |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:------:|:----:|:----:|:---:|:---:|
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| 0.3603 | 1.0 | 2233 | 0.8218 | 0.3251 | 0.2021 | 0.1163 | 0.7685 | 0.6749 | 2095 | 5675 | 225 | 747 |
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| 0.298 | 2.0 | 4466 | 0.9031 | 0.3164 | 0.2047 | 0.1175 | 0.7912 | 0.6836 | 1997 | 5773 | 203 | 769 |
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| 0.2438 | 3.0 | 6699 | 0.9920 | 0.2851 | 0.1967 | 0.1124 | 0.7870 | 0.7149 | 1727 | 6043 | 207 | 765 |
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### Framework versions
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- Transformers 4.20.1
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- Pytorch 1.12.0+cu102
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- Datasets 2.3.2
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- Tokenizers 0.12.1
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