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: 0.1580
• F1: 0.8547

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: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.3718	1.0	269	0.1761	0.8223
0.1535	2.0	538	0.1608	0.8404
0.1074	3.0	807	0.1580	0.8547

Framework versions

• Transformers 4.11.3
• Pytorch 1.11.0
• Datasets 1.16.1
• Tokenizers 0.10.3