xlm-roberta-base-finetuned-panx-de

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: 0.1443
• F1: 0.8683

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: 16
• eval_batch_size: 16
• 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
0.2572	1.0	787	0.1598	0.8178
0.1302	2.0	1574	0.1495	0.8524
0.0784	3.0	2361	0.1443	0.8683

Framework versions

• Transformers 4.36.1
• Pytorch 2.1.2
• Datasets 2.15.0
• Tokenizers 0.15.0