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xlm-roberta-base-finetuned-panx-de

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

  • Loss: 0.1372
  • F1: 0.8621

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
0.2575 1.0 525 0.1621 0.8292
0.1287 2.0 1050 0.1378 0.8526
0.0831 3.0 1575 0.1372 0.8621

Framework versions

  • Transformers 4.11.3
  • Pytorch 1.11.0+cu113
  • Datasets 1.16.1
  • Tokenizers 0.10.3
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Dataset used to train jamesmarcel/xlm-roberta-base-finetuned-panx-de

Evaluation results