turkish-ner-fold-mBERT5 – AI Model by meryemmm22 | AlphaNeural AI

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meryemmm22/
turkish-ner-fold-mBERT5

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token-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

autotrain_compatible

endpoints_compatible

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turkish-ner-fold-bBERT5

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

Loss: 0.3151
F1: 0.6423
Precision: 0.6301
Recall: 0.6550
Accuracy: 0.9049

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
0.4095	1.0	500	0.3264	0.5578	0.5579	0.5577	0.8747
0.2751	2.0	1000	0.2901	0.6305	0.6227	0.6385	0.8927
0.2126	3.0	1500	0.2820	0.6337	0.6356	0.6318	0.8996
0.1636	4.0	2000	0.2948	0.6507	0.6514	0.6501	0.9038
0.1275	5.0	2500	0.3136	0.6524	0.6445	0.6604	0.9023

Framework versions

Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.3.2
Tokenizers 0.21.0