This model is a fine-tuned version of facebook/xlm-v-base on the Spanish and Guarani sets of unimelb-nlp/wikiann dataset. It achieves the following results on the evaluation set:

Loss: 0.1872
Precision: 0.9064
Recall: 0.9120
F1: 0.9092
Accuracy: 0.9525

Model description

More information needed

Intended uses & limitations

NER (PER, LOC, ORG)
Spanish, Guarani & Jopará languages

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.255	1.0	1764	0.1951	0.8888	0.9017	0.8952	0.9465
0.1882	2.0	3528	0.1656	0.9014	0.9112	0.9063	0.9544
0.1454	3.0	5292	0.1599	0.9070	0.9191	0.9130	0.9575

Framework versions

Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1

mmaguero/wikiann-xlm-v-base

wikiann-xlm-v-base