XML-roberta-conll2002-ner-2025-32-10 – AI Model by raulgdp | AlphaNeural AI

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raulgdp/
XML-roberta-conll2002-ner-2025-32-10

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FacebookAI/xlm-roberta-large

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XML-roberta-conll2002-ner-2025-32-10

This model is a fine-tuned version of FacebookAI/xlm-roberta-large on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0763
Precision: 0.8665
Recall: 0.8782
F1: 0.8723
Accuracy: 0.9817

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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.0777	1.0	1041	0.0972	0.8325	0.8596	0.8459	0.9776
0.0628	2.0	2082	0.0850	0.8429	0.8569	0.8499	0.9790
0.0528	3.0	3123	0.0735	0.8653	0.8789	0.8721	0.9818
0.0483	4.0	4164	0.0737	0.8663	0.8772	0.8717	0.9817
0.0397	5.0	5205	0.0777	0.8692	0.8777	0.8734	0.9819
0.0391	6.0	6246	0.0763	0.8665	0.8782	0.8723	0.9817

Framework versions

PEFT 0.18.0
Transformers 4.57.1
Pytorch 2.6.0+cu124
Datasets 2.14.7
Tokenizers 0.22.1