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naver_review – AI Model by Kogasa4875 | AlphaNeural AI
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naver_review
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
beomi/kcbert-base
finetune
apache-2.0
text-embeddings-inference
endpoints_compatible
us
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naver_review
This model is a fine-tuned version of
beomi/kcbert-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0823
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: 128
eval_batch_size: 128
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
0.0874
1.0
1172
0.0789
0.0624
2.0
2344
0.0755
0.0439
3.0
3516
0.0793
0.0315
4.0
4688
0.0801
0.0249
5.0
5860
0.0823
Framework versions
Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
