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xlm-roberta-base-finetuned-panx-fr

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: 0.2978
  • F1: 0.8326

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
0.574 1.0 191 0.3495 0.7889
0.2649 2.0 382 0.2994 0.8242
0.1716 3.0 573 0.2978 0.8326

Framework versions

  • Transformers 4.11.3
  • Pytorch 1.11.0
  • Datasets 1.16.1
  • Tokenizers 0.10.3
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Dataset used to train ChaoLi/xlm-roberta-base-finetuned-panx-fr

Evaluation results