---
license: apache-2.0
base_model: somosnlp-hackathon-2022/twitter_sexismo-finetuned-robertuito-exist2021
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: NewSpanishFinetunedtrainepoch10
  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. -->

# NewSpanishFinetunedtrainepoch10

This model is a fine-tuned version of [somosnlp-hackathon-2022/twitter_sexismo-finetuned-robertuito-exist2021](https://huggingface.co/somosnlp-hackathon-2022/twitter_sexismo-finetuned-robertuito-exist2021) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9422
- Accuracy: 0.7818
- F1: 0.7723

## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 64
- 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     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| No log        | 1.0   | 390  | 2.2975          | 0.75     | 0.7280 |
| 0.0373        | 2.0   | 780  | 1.6730          | 0.7645   | 0.7570 |
| 0.0227        | 3.0   | 1170 | 1.6890          | 0.7688   | 0.7536 |
| 0.0303        | 4.0   | 1560 | 1.6623          | 0.7659   | 0.7573 |
| 0.0303        | 5.0   | 1950 | 1.4957          | 0.7717   | 0.7588 |
| 0.0133        | 6.0   | 2340 | 1.8339          | 0.7731   | 0.7627 |
| 0.0086        | 7.0   | 2730 | 1.9297          | 0.7717   | 0.7651 |
| 0.0031        | 8.0   | 3120 | 1.8540          | 0.7775   | 0.7677 |
| 0.0021        | 9.0   | 3510 | 1.9277          | 0.7803   | 0.7704 |
| 0.0021        | 10.0  | 3900 | 1.9422          | 0.7818   | 0.7723 |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1