multilingual-ner-model-with-code23

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: 0.1377
• F1: 0.8619

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
0.3	1.0	525	0.1635	0.8118
0.136	2.0	1050	0.1334	0.8500
0.0863	3.0	1575	0.1377	0.8619

Framework versions

• Transformers 4.44.2
• Pytorch 2.5.1+cu118
• Datasets 2.19.0
• Tokenizers 0.19.1