mmaguero/langid-ner-multilingual-bert-gn-base-cased

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langid-ner-multilingual-bert-gn-base-cased

This model is a fine-tuned version of mmaguero/multilingual-bert-gn-base-cased on the task 1 and task 2 of GUA-SPA@IberLEF 2023 shared task dataset. It achieves the following results on the evaluation set:

• —Loss: 0.5980
• —Precision: 0.7389
• —Recall: 0.7464
• —F1: 0.7426
• —Accuracy: 0.8673

Model description

More information needed

Intended uses & limitations

• —NER (PER, LOC, ORG)
• —Token-based language identification (es, gn, mix, foreign)

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 2e-05
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 20

Training results

Framework versions

• —Transformers 4.57.1
• —Pytorch 2.8.0+cu126
• —Datasets 4.0.0
• —Tokenizers 0.22.1