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ner-xlm-roberta-english – AI Model by Mu7annad | AlphaNeural AI
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Mu7annad
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ner-xlm-roberta-english
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transformers
tensorboard
safetensors
xlm-roberta
token-classification
generated_from_trainer
conll2003
FacebookAI/xlm-roberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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ner-xlm-roberta-english
This model is a fine-tuned version of
xlm-roberta-base
on the conll2003 dataset. It achieves the following results on the evaluation set:
Loss: 0.0445
F1 Score: 0.9452
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
F1 Score
0.1626
1.0
878
0.0554
0.9238
0.0404
2.0
1756
0.0465
0.9417
0.0237
3.0
2634
0.0445
0.9452
Framework versions
Transformers 4.42.3
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
