---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: edos-2023-baseline-bert-base-multilingual-uncased-label_sexist
  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. -->

# edos-2023-baseline-bert-base-multilingual-uncased-label_sexist

This model is a fine-tuned version of [bert-base-multilingual-uncased](https://huggingface.co/bert-base-multilingual-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3753
- F1: 0.7713

## 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: 1e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- num_epochs: 8
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.4679        | 1.14  | 400  | 0.4074          | 0.7437 |
| 0.3421        | 2.29  | 800  | 0.3773          | 0.7755 |
| 0.3142        | 3.43  | 1200 | 0.3664          | 0.7747 |
| 0.2786        | 4.57  | 1600 | 0.3753          | 0.7713 |
| 0.275         | 5.71  | 2000 | 0.3753          | 0.7713 |
| 0.2785        | 6.86  | 2400 | 0.3753          | 0.7713 |


### Framework versions

- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2