Edit model card

xlm-roberta-base-finetuned-panx-de-fr

This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1654
  • F1: 0.8590

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
0.2845 1.0 715 0.1831 0.8249
0.1449 2.0 1430 0.1643 0.8479
0.0929 3.0 2145 0.1654 0.8590

Framework versions

  • Transformers 4.11.3
  • Pytorch 1.12.1+cu113
  • Datasets 1.16.1
  • Tokenizers 0.10.3
Downloads last month
4
Hosted inference API
Token Classification
Examples
Examples
This model can be loaded on the Inference API on-demand.