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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
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Dataset used to train stefanieZ/xlm-roberta-base-finetuned-germeval-14

Evaluation results