multilingual-xlm-roberta-for-ner-panx

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: 0.1355
• F1: 0.8611

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
0.2638	1.0	525	0.1569	0.8279
0.1272	2.0	1050	0.1370	0.8490
0.08	3.0	1575	0.1355	0.8611

Framework versions

• Transformers 4.28.0
• Pytorch 2.1.1+cu121
• Datasets 2.16.1
• Tokenizers 0.13.3