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: 0.1562
• F1: 0.8518

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: 72
• eval_batch_size: 72
• 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
No log	1.0	239	0.1836	0.8246
No log	2.0	478	0.1601	0.8418
0.2091	3.0	717	0.1562	0.8518

Framework versions

• Transformers 4.11.3
• Pytorch 2.0.0a0+1767026
• Datasets 3.0.0
• Tokenizers 0.10.3