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: 0.1502
• F1: 0.8666

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: 13
• eval_batch_size: 13
• 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
0.2577	1.0	968	0.1638	0.8190
0.1303	2.0	1936	0.1428	0.8526
0.0795	3.0	2904	0.1502	0.8666

Framework versions

• Transformers 4.11.3
• Pytorch 1.13.1+cu117
• Datasets 1.16.1
• Tokenizers 0.10.3