readme: ---
  license: mit
  tags:
  - generated_from_trainer
  metrics:
  - f1
  datasets:
  - wikiann
  model-index:
  - name: xlm-roberta-base-finetuned-panx-all
    results:
    - task:
        type: token-classification
        name: Token Classification
      dataset:
        name: wikiann
        type: wikiann
        config: en
        split: test
      metrics:
      - name: Accuracy
        type: accuracy
        value: 0.843189280620875
        verified: true
      - name: Precision
        type: precision
        value: 0.8410061269097046
        verified: true
      - name: Recall
        type: recall
        value: 0.8568527450211155
        verified: true
      - name: F1
        type: f1
        value: 0.8488554853827908
        verified: true
      - name: loss
        type: loss
        value: 0.6632214784622192
        verified: true
  ---
  
  <!-- 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-all
  
  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the PAN-X dataset. The model is trained in Chapter 4: Multilingual Named Entity Recognition in the [NLP with Transformers book](https://learning.oreilly.com/library/view/natural-language-processing/9781098103231/). You can find the full code in the accompanying [Github repository](https://github.com/nlp-with-transformers/notebooks/blob/main/04_multilingual-ner.ipynb).
  
  It achieves the following results on the evaluation set:
  - Loss: 0.1739
  - F1: 0.8581
  
  ## 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     |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 0.2912        | 1.0   | 835  | 0.1883          | 0.8238 |
  | 0.1548        | 2.0   | 1670 | 0.1738          | 0.8480 |
  | 0.101         | 3.0   | 2505 | 0.1739          | 0.8581 |
  
  
  ### Framework versions
  
  - Transformers 4.12.0.dev0
  - Pytorch 1.9.1+cu102
  - Datasets 1.12.1
  - Tokenizers 0.10.3
  