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xlm-roberta-base-conll2003-ner – AI Model by Yaxin | AlphaNeural AI

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Yaxin/
xlm-roberta-base-conll2003-ner

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token-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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test-conll2003-ner

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: 0.0470
Precision: 0.9459
Recall: 0.9537
F1: 0.9498
Accuracy: 0.9911

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Framework versions

Transformers 4.18.0.dev0
Pytorch 1.10.0
Datasets 1.18.3
Tokenizers 0.11.0