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klue-roberta-large-klue-2016klp-crime-1-ner – AI Model by soddokayo | AlphaNeural AI
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klue-roberta-large-klue-2016klp-crime-1-ner
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transformers
pytorch
roberta
token-classification
generated_from_trainer
autotrain_compatible
endpoints_compatible
us
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klue-roberta-large-klue-2016klp-crime-1-ner
This model is a fine-tuned version of
soddokayo/klue-roberta-large-klue-2016klp-ner
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.7156
Precision: 0.4934
Recall: 0.6222
F1: 0.5504
Accuracy: 0.7726
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: 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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
No log
1.0
23
0.8927
0.6778
0.6778
0.6778
0.7223
No log
2.0
46
0.7156
0.4934
0.6222
0.5504
0.7726
Framework versions
Transformers 4.30.2
Pytorch 2.0.1+cpu
Datasets 2.12.0
Tokenizers 0.11.0
