pytorch distilbert text-classification transformers generated_from_trainer license:apache-2.0 model-index
---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: distilbert-base-multilingual-cased-finetuned-misogyny-sexism-out-of-sample-test-opt-EN
  results: []
---

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# distilbert-base-multilingual-cased-finetuned-misogyny-sexism-out-of-sample-test-opt-EN

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: 1.0225
- Accuracy: 0.8312
- F1: 0.3169
- Precision: 0.2393
- Recall: 0.4689
- Mae: 0.1688

## 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    |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|:------:|
| 0.3654        | 1.0   | 2395  | 0.3117          | 0.8590   | 0.3599 | 0.2898    | 0.4747 | 0.1410 |
| 0.3289        | 2.0   | 4790  | 0.4348          | 0.7582   | 0.3375 | 0.2188    | 0.7374 | 0.2418 |
| 0.2615        | 3.0   | 7185  | 0.3927          | 0.8425   | 0.3448 | 0.2642    | 0.4961 | 0.1575 |
| 0.1982        | 4.0   | 9580  | 0.8717          | 0.7641   | 0.3170 | 0.2091    | 0.6556 | 0.2359 |
| 0.176         | 5.0   | 11975 | 0.5349          | 0.8573   | 0.3328 | 0.2731    | 0.4261 | 0.1427 |
| 0.1422        | 6.0   | 14370 | 0.8742          | 0.8130   | 0.3062 | 0.2218    | 0.4942 | 0.1870 |
| 0.1161        | 7.0   | 16765 | 0.7036          | 0.8700   | 0.2870 | 0.2648    | 0.3132 | 0.1300 |
| 0.1218        | 8.0   | 19160 | 0.7793          | 0.8512   | 0.3113 | 0.2537    | 0.4027 | 0.1488 |
| 0.0991        | 9.0   | 21555 | 0.8698          | 0.8518   | 0.3153 | 0.2567    | 0.4086 | 0.1482 |
| 0.092         | 10.0  | 23950 | 1.0225          | 0.8312   | 0.3169 | 0.2393    | 0.4689 | 0.1688 |


### Framework versions

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