transformers tensorboard safetensors xlm-roberta token-classification generated_from_trainer dataset:xtreme base_model:tner/xlm-roberta-base-panx-dataset-ar model-index autotrain_compatible endpoints_compatible region:us
---
base_model: tner/xlm-roberta-base-panx-dataset-ar
tags:
- generated_from_trainer
datasets:
- xtreme
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-ar
  results:
  - task:
      name: Token Classification
      type: token-classification
    dataset:
      name: xtreme
      type: xtreme
      config: PAN-X.ar
      split: validation
      args: PAN-X.ar
    metrics:
    - name: F1
      type: f1
      value: 0.8836184741904691
---

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# xlm-roberta-base-finetuned-panx-ar

This model is a fine-tuned version of [tner/xlm-roberta-base-panx-dataset-ar](https://huggingface.co/tner/xlm-roberta-base-panx-dataset-ar) on the xtreme dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2007
- F1: 0.8836

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.2229        | 1.0   | 188  | 0.2007          | 0.8836 |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
