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kcbert-nsmc-model – AI Model by noeyus | AlphaNeural AI
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noeyus
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kcbert-nsmc-model
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transformers
safetensors
bert
text-classification
generated_from_trainer
beomi/kcbert-base
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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kcbert-nsmc-model
This model is a fine-tuned version of
beomi/kcbert-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3665
Accuracy: {'accuracy': 0.8384}
F1: {'f1': 0.8338815789473685}
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: 128
eval_batch_size: 128
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.459
1.0
79
0.3665
{'accuracy': 0.8384}
{'f1': 0.8338815789473685}
Framework versions
Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3
