---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
base_model: xlm-roberta-base
model-index:
- name: xlm-roberta-base-misogyny-sexism-tweets
  results: []
---

<!-- 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. -->

# xlm-roberta-base-misogyny-sexism-tweets

This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5009
- Accuracy: 0.796
- F1: 0.8132
- Precision: 0.75
- Recall: 0.888
- Mae: 0.204
- Tn: 352
- Fp: 148
- Fn: 56
- Tp: 444

## 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: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall | Mae   | Tn  | Fp  | Fn | Tp  |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:-----:|:---:|:---:|:--:|:---:|
| 0.4947        | 1.0   | 1646 | 0.4683          | 0.765    | 0.7866 | 0.7205    | 0.866  | 0.235 | 332 | 168 | 67 | 433 |
| 0.4285        | 2.0   | 3292 | 0.4514          | 0.779    | 0.8004 | 0.7298    | 0.886  | 0.221 | 336 | 164 | 57 | 443 |
| 0.3721        | 3.0   | 4938 | 0.4430          | 0.781    | 0.8060 | 0.7234    | 0.91   | 0.219 | 326 | 174 | 45 | 455 |
| 0.3127        | 4.0   | 6584 | 0.5009          | 0.796    | 0.8132 | 0.75      | 0.888  | 0.204 | 352 | 148 | 56 | 444 |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.12.0+cu102
- Datasets 2.3.2
- Tokenizers 0.12.1