xlm-roberta-base-finetuned-panx-it

This model is a fine-tuned version of xlm-roberta-base on the PAN-X dataset. The model is trained in Chapter 4: Multilingual Named Entity Recognition in the NLP with Transformers book. You can find the full code in the accompanying Github repository.

It achieves the following results on the evaluation set:

• Loss: 0.2445
• F1: 0.8215

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
0.7594	1.0	70	0.3402	0.7467
0.2942	2.0	140	0.2555	0.7971
0.1814	3.0	210	0.2445	0.8215

Framework versions

• Transformers 4.12.0.dev0
• Pytorch 1.9.1+cu102
• Datasets 1.12.1
• Tokenizers 0.10.3