README.md

metadata

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
          args: PAN-X.ar
        metrics:
          - name: F1
            type: f1
            value: 0.8894684900606231

xlm-roberta-base-finetuned-panx-ar

This model is a fine-tuned version of tner/xlm-roberta-base-panx-dataset-ar on the xtreme dataset. It achieves the following results on the evaluation set:

• Loss: 0.2237
• F1: 0.8895

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
0.234	1.0	525	0.2382	0.8587
0.1244	2.0	1050	0.2153	0.8844
0.0738	3.0	1575	0.2237	0.8895

Framework versions

• Transformers 4.16.2
• Pytorch 2.1.0+cu118
• Datasets 1.16.1
• Tokenizers 0.15.0