---
license: mit
tags:
- generated_from_trainer
datasets:
- germeval_14
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-germeval-14-4-labels
  results:
  - task:
      name: Token Classification
      type: token-classification
    dataset:
      name: germeval_14
      type: germeval_14
      config: germeval_14
      split: validation
      args: germeval_14
    metrics:
    - name: F1
      type: f1
      value: 0.9268456375838925
---

<!-- 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-finetuned-germeval-14-4-labels

This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the germeval_14 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0592
- F1: 0.9268

## 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: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.0896        | 1.0   | 1000 | 0.0557          | 0.9059 |
| 0.042         | 2.0   | 2000 | 0.0579          | 0.9183 |
| 0.0239        | 3.0   | 3000 | 0.0592          | 0.9268 |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3