turkish-ner-xlm-roberta-large-wikiann – AI Model by meryemmm22 | AlphaNeural AI

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meryemmm22/
turkish-ner-xlm-roberta-large-wikiann

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token-classification

generated_from_trainer

FacebookAI/xlm-roberta-large

autotrain_compatible

endpoints_compatible

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turkish-ner-xlm-roberta-large-wikiann

This model is a fine-tuned version of xlm-roberta-large on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0231
F1: 0.9821
Precision: 0.9812
Recall: 0.9830
Accuracy: 0.9943

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: 16
eval_batch_size: 16
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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Precision	Recall	Accuracy
0.3686	1.0	625	0.1810	0.8758	0.8732	0.8785	0.9558
0.1948	2.0	1250	0.0994	0.9218	0.9089	0.9351	0.9755
0.142	3.0	1875	0.0672	0.9465	0.9397	0.9533	0.9834
0.0701	4.0	2500	0.0353	0.9721	0.9710	0.9733	0.9908
0.0389	5.0	3125	0.0231	0.9821	0.9812	0.9830	0.9943

Framework versions

Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.3.2
Tokenizers 0.21.0