xlm-roberta-base-finetuned-wikiann

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: 0.1638
• F1: 0.8878

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: 24
• eval_batch_size: 24
• 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
0.2426	1.0	5000	0.1882	0.8495
0.1475	2.0	10000	0.1618	0.8807
0.1003	3.0	15000	0.1638	0.8878

Framework versions

• Transformers 4.27.3
• Pytorch 2.0.0+cu117
• Datasets 2.10.1
• Tokenizers 0.13.2