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: 0.1596
• F1: 0.8473

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: 96
• eval_batch_size: 96
• 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	179	0.1955	0.8071
No log	2.0	358	0.1671	0.8364
No log	3.0	537	0.1596	0.8473

Framework versions

• Transformers 4.37.2
• Pytorch 2.1.0+cu121
• Datasets 2.14.6
• Tokenizers 0.15.2