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multilingual-afroxlmr-large-ner-masakhaner-ner-v1

This model is a fine-tuned version of masakhane/afroxlmr-large-ner-masakhaner-1.0_2.0 on the Beijuka/Multilingual_PII_NER_dataset dataset. It achieves the following results on the evaluation set:

Loss: 0.2533
Precision: 0.9394
Recall: 0.9198
F1: 0.9295
Accuracy: 0.9736

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: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.201	1.0	1260	0.2656	0.8469	0.8570	0.8519	0.9540
0.1255	2.0	2520	0.2759	0.8698	0.8834	0.8765	0.9599
0.0913	3.0	3780	0.2277	0.8734	0.9144	0.8934	0.9628
0.0639	4.0	5040	0.2044	0.8839	0.9208	0.9020	0.9670
0.0535	5.0	6300	0.2354	0.8964	0.9022	0.8993	0.9664
0.0407	6.0	7560	0.2140	0.8913	0.9265	0.9086	0.9678
0.0265	7.0	8820	0.2100	0.9143	0.9074	0.9108	0.9687
0.0237	8.0	10080	0.2753	0.9038	0.9206	0.9121	0.9697
0.0175	9.0	11340	0.2501	0.9083	0.8979	0.9031	0.9688
0.0151	10.0	12600	0.2796	0.9009	0.9135	0.9071	0.9682
0.0123	11.0	13860	0.2927	0.9088	0.9197	0.9143	0.9698
0.0087	12.0	15120	0.2623	0.9023	0.9265	0.9143	0.9702
0.0058	13.0	16380	0.3155	0.9085	0.9165	0.9125	0.9684
0.0054	14.0	17640	0.2703	0.9118	0.9319	0.9218	0.9732
0.0048	15.0	18900	0.2875	0.9037	0.9312	0.9172	0.9715
0.0037	16.0	20160	0.2817	0.9079	0.9274	0.9176	0.9719
0.0012	17.0	21420	0.3166	0.8996	0.9339	0.9164	0.9711

Framework versions

Transformers 4.55.2
Pytorch 2.8.0.dev20250319+cu128
Datasets 4.0.0
Tokenizers 0.21.4

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Safetensors

Model size

0.6B params

Tensor type

F32

Model tree for Beijuka/multilingual-afroxlmr-large-ner-masakhaner-ner-v1

Base model

masakhane/afroxlmr-large-ner-masakhaner-1.0_2.0

Finetuned

(8)

this model

Dataset used to train Beijuka/multilingual-afroxlmr-large-ner-masakhaner-ner-v1

Evaluation results

Precision on Beijuka/Multilingual_PII_NER_dataset
self-reported

0.939
Recall on Beijuka/Multilingual_PII_NER_dataset
self-reported

0.920
F1 on Beijuka/Multilingual_PII_NER_dataset
self-reported

0.929
Accuracy on Beijuka/Multilingual_PII_NER_dataset
self-reported

0.974