---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: distilbert-base-multilingual-cased-finetuned-misogyny-sexism
  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-finetuned-misogyny-sexism

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: 0.0013
- Accuracy: 0.9995
- F1: 0.9995
- Precision: 0.9989
- Recall: 1.0
- Mae: 0.0005

## 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: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     | Precision | Recall | Mae    |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|:------:|
| 0.301         | 1.0   | 1759  | 0.3981          | 0.8194   | 0.8268 | 0.7669    | 0.8968 | 0.1806 |
| 0.2573        | 2.0   | 3518  | 0.2608          | 0.8887   | 0.8902 | 0.8463    | 0.9389 | 0.1113 |
| 0.1818        | 3.0   | 5277  | 0.1608          | 0.9418   | 0.9426 | 0.8965    | 0.9937 | 0.0582 |
| 0.1146        | 4.0   | 7036  | 0.0667          | 0.9793   | 0.9787 | 0.9652    | 0.9926 | 0.0207 |
| 0.0829        | 5.0   | 8795  | 0.0292          | 0.9924   | 0.9921 | 0.9875    | 0.9968 | 0.0076 |
| 0.059         | 6.0   | 10554 | 0.0221          | 0.9939   | 0.9937 | 0.9916    | 0.9958 | 0.0061 |
| 0.0434        | 7.0   | 12313 | 0.0177          | 0.9954   | 0.9953 | 0.9916    | 0.9989 | 0.0046 |
| 0.0165        | 8.0   | 14072 | 0.0014          | 0.9995   | 0.9995 | 0.9989    | 1.0    | 0.0005 |
| 0.0144        | 9.0   | 15831 | 0.0008          | 0.9995   | 0.9995 | 0.9989    | 1.0    | 0.0005 |
| 0.012         | 10.0  | 17590 | 0.0013          | 0.9995   | 0.9995 | 0.9989    | 1.0    | 0.0005 |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.9.0+cu111
- Datasets 2.3.2
- Tokenizers 0.12.1
