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xlm-roberta-ner-ja – AI Model by ewfian | AlphaNeural AI
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ewfian
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xlm-roberta-ner-ja
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transformers
safetensors
xlm-roberta
token-classification
ner
ja
FacebookAI/xlm-roberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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xlm-roberta-ner-ja
This model is a fine-tuned version of
xlm-roberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1301
F1: 0.8804
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 5e-05
train_batch_size: 12
eval_batch_size: 12
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
F1
No log
1.0
1451
0.1113
0.8286
No log
2.0
2902
0.0990
0.8487
No log
3.0
4353
0.1079
0.8611
No log
4.0
5804
0.1120
0.8738
No log
5.0
7255
0.1301
0.8804
Framework versions
Transformers 4.35.2
Pytorch 2.0.1+cu118
Datasets 2.15.0
Tokenizers 0.15.0
