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multilingual-xlm-roberta-for-ner – AI Model by farukd12 | AlphaNeural AI
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farukd12
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multilingual-xlm-roberta-for-ner
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transformers
safetensors
xlm-roberta
token-classification
generated_from_trainer
FacebookAI/xlm-roberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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multilingual-xlm-roberta-for-ner
This model is a fine-tuned version of
xlm-roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1518
F1: 0.8751
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: 24
eval_batch_size: 24
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
F1
0.2374
1.0
525
0.1562
0.8162
0.1323
2.0
1050
0.1401
0.8521
0.0878
3.0
1575
0.1402
0.8634
0.0584
4.0
2100
0.1478
0.8687
0.0377
5.0
2625
0.1518
0.8751
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1
