---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-de
  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. -->

# xlm-roberta-base-finetuned-panx-de

This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3159
- F1: 0.8543

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.3578        | 1.0   | 525  | 0.2204          | 0.7870 |
| 0.1946        | 2.0   | 1050 | 0.2063          | 0.8072 |
| 0.1314        | 3.0   | 1575 | 0.2037          | 0.8318 |
| 0.0924        | 4.0   | 2100 | 0.2161          | 0.8363 |
| 0.0641        | 5.0   | 2625 | 0.2472          | 0.8418 |
| 0.046         | 6.0   | 3150 | 0.2754          | 0.8409 |
| 0.0306        | 7.0   | 3675 | 0.2718          | 0.8509 |
| 0.0205        | 8.0   | 4200 | 0.3045          | 0.8563 |
| 0.0128        | 9.0   | 4725 | 0.3148          | 0.8568 |
| 0.0091        | 10.0  | 5250 | 0.3159          | 0.8543 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1