README.md

metadata

license: mit
tags:
  - generated_from_trainer
datasets:
  - germeval_14
metrics:
  - f1
model-index:
  - name: xlm-roberta-base-finetuned-panx-de
    results:
      - task:
          name: Token Classification
          type: token-classification
        dataset:
          name: germeval_14
          type: germeval_14
          config: germeval_14
          split: validation
          args: germeval_14
        metrics:
          - name: F1
            type: f1
            value: 0.858814923189466

xlm-roberta-base-finetuned-panx-de

This model is a fine-tuned version of xlm-roberta-base on the germeval_14 dataset. It achieves the following results on the evaluation set:

• Loss: 0.0744
• F1: 0.8588

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
0.1261	1.0	1000	0.0769	0.8335
0.0555	2.0	2000	0.0679	0.8568
0.0329	3.0	3000	0.0744	0.8588

Framework versions

• Transformers 4.26.0
• Pytorch 1.13.1+cu116
• Datasets 2.8.0
• Tokenizers 0.13.2