---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: bert-base-multilingual-cased-finetuned-IberAuTexTification2024-7030-task2-v2
  results: []
---

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# bert-base-multilingual-cased-finetuned-IberAuTexTification2024-7030-task2-v2

This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7747
- F1: 0.8306

## 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 | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.5663        | 1.0   | 2571  | 0.6388          | 0.7595 |
| 0.376         | 2.0   | 5142  | 0.5563          | 0.8086 |
| 0.2266        | 3.0   | 7713  | 0.6516          | 0.8164 |
| 0.1338        | 4.0   | 10284 | 0.7747          | 0.8306 |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.13.3