---
license: mit
tags:
- generated_from_trainer
datasets:
- xtreme
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-de
  results:
  - task:
      type: token-classification
      name: Token Classification
    dataset:
      name: xtreme
      type: xtreme
      args: PAN-X.de
    metrics:
    - type: f1
      value: 0.8620945214069894
      name: F1
  - task:
      type: token-classification
      name: Token Classification
    dataset:
      name: xtreme
      type: xtreme
      config: PAN-X.de
      split: test
    metrics:
    - type: accuracy
      value: 0.899981559318585
      name: Accuracy
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNzZjYTI0ZmUwZjQ2MzQ1NDEwMTA0M2EyODYwZTMyNTMyYTUxNzQ3MzcyYWRmYjYyODNlNDljYmQ2YTUwYTViYiIsInZlcnNpb24iOjF9.3_lRUjgcJb1zDFL254OS4CWayOUjWfF2NFuhzNRwUhl3l4ksrcd7v67koNXnIYGPcgbNwQODOCqETna0ko7ECg
    - type: precision
      value: 0.9009035072102546
      name: Precision
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNzM2NDFjNDViMjhkNjczYTQ3NThjMjNkZTdkYzYxMTc4ODBiM2MxNjFiZWZlOGU2YTQxOTRmNDlmN2EyMTg3MCIsInZlcnNpb24iOjF9.ErJg5--NspICPRLC3JLHQTZSeVsdkLlKoV3v_Pot_284vJOA0MX4Ts8uGgT5kaK4gWk64jfUZFtNFm0vUBjqCw
    - type: recall
      value: 0.9206610317249744
      name: Recall
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMGU1ZTc1N2YyNzQzMGNlOTRkMmY4MWUyYjQ2NGVmZjQyNzYyYTk1YThkZThhNTcwNjg4NWIzZmY3MjI3ZjVhNCIsInZlcnNpb24iOjF9.spV2MeZeos22IPcNq6b_P-aZPqCPKNQqm5jiqs0YTMTaYynp_99XhDEc7G9mmAZd9TkYsqJipCzATHdLZrX_BA
    - type: f1
      value: 0.9106751198809252
      name: F1
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYWIxYTJjY2U3NjVkNzc0OTUyYWMxZjZjYTcwYzdjNzQ2Nzg1MTFlMDc1M2RkMDNiZmE3ZDI3ZDdhMjk0NDhlNSIsInZlcnNpb24iOjF9.PM1Yn7wwC0fvGZYYHr4NWgfLTirHe5zBdnYhjuo-bydSlcxMSPX9yV4jWc8yswMzU6s3XcIfeAt4xnmefSi7BQ
    - type: loss
      value: 0.3754884600639343
      name: loss
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYjkyN2RiMzg0ZWYyOTFlMWMxZDI0MmUyNGY2YmQzM2FkZGMyNjYyNTM1YTkwMTU3MmQxYTIzNDRkNjU3M2U1MyIsInZlcnNpb24iOjF9.9jtKqGu1dj0OsxRPmiObEQ-_ljPmlZTArqGjU_9Dhu9mvZkxmnob6LnjUQFYvw8DyFS8pqKyFe5NXH0QrL3_Dg
---

<!-- 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 the xtreme dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1372
- F1: 0.8621

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.2575        | 1.0   | 525  | 0.1621          | 0.8292 |
| 0.1287        | 2.0   | 1050 | 0.1378          | 0.8526 |
| 0.0831        | 3.0   | 1575 | 0.1372          | 0.8621 |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1