xlm-roberta-base-finetuned-panx-de

This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.1873
• F1: 0.8668

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: 4
• eval_batch_size: 4
• 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
0.2922	1.0	3145	0.2448	0.7991
0.1638	2.0	6290	0.1794	0.8427
0.0974	3.0	9435	0.1873	0.8668

Framework versions

• Transformers 4.16.2
• Pytorch 2.2.0
• Datasets 2.18.0
• Tokenizers 0.15.2