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bert-base-multilingual-cased-finetuned-klue-ner – AI Model by euneun9 | AlphaNeural AI
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euneun9
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bert-base-multilingual-cased-finetuned-klue-ner
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transformers
pytorch
tensorboard
bert
token-classification
generated_from_trainer
klue
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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bert-base-multilingual-cased-finetuned-klue-ner
This model is a fine-tuned version of
bert-base-multilingual-cased
on the klue dataset. It achieves the following results on the evaluation set:
Loss: 0.1330
F1: 0.8832
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: 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
0.17
1.0
1313
0.1354
0.8581
0.0843
2.0
2626
0.1250
0.8787
0.0492
3.0
3939
0.1330
0.8832
Framework versions
Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3
